CMYK - issi.uz.zgora.pl · CMYK Computer Science, 512 students of Electrical Engineering and 324 students of Electronics and Telecommunications. The Institute of Control and Computation

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Editors: Józef Korbicz and Andrzej Pieczyñski

Linguistic verification: Agnieszka Ro¿ewska

Graphic design: Alicja Matwijewicz and Marcin Paszek

Typesetting: Marcin Paszek and £ukasz H³adowski

Photographs: Kazimierz Adamczewski, Alicja Matwijewicz and Marcin Paszek

Address:

University of Zielona Góra

Institute of Control and Computation Engineering, ICCE

ul. Podgórna 50, 65-246 Zielona Góra, Poland

Phone: (+48 68) 328 24 22 and (+48 68) 328 24 73

Fax: (+48 68) 324 72 95

E-mail: [email protected]

Website: http://www.issi.uz.zgora.pl

ISBN 83-89712-57-1

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Management

Deputy Director

Prof. Dariusz Uciñski, Ph.D., D.Sc.e-mail: [email protected]

Head of the Systems Analysisand Intelligent Computation Division

Assoc. Prof. Andrzej Obuchowicz, Ph.D., D.Sc.e-mail: [email protected]

Head of the Information Systems Division

Prof. Krzysztof Ga³kowski, Ph.D., D.Sc.e-mail: [email protected]

Head of the Telecommunicationsand Computer Security Division

Prof. Eugeniusz Kuriata, Ph.D., D.Sc.e-mail: [email protected]

Director

Prof. Józef Korbicz, Ph.D., D.Sc.e-mail: [email protected]

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Staff

Systems Analysis and Intelligent Computation Division 1. Prof. Józef Korbicz [email protected] 2. Assoc. Prof. Andrzej Obuchowicz (Head) [email protected] 3. Assoc. Prof. Andrzej Pieczyñski [email protected] 4. Ass. Prof. Andrzej Janczak [email protected] 5. Ass. Prof. Marek Kowal [email protected] 6. Ass. Prof. Andrzej Marciniak [email protected] 7. Ass. Prof. Marcin Mrugalski [email protected] 8. Ass. Prof. Krzysztof Patan [email protected] 9. Ass. Prof. Marcin Witczak [email protected] 10. Lect. Marcin D¹browa [email protected] 11. Lect. Przemys³aw Prêtki [email protected]

Information Systems Division 1. Prof. Krzysztof Ga³kowski (Head) [email protected] 2. Prof. Dariusz Uciñski [email protected] 3. Ass. Prof. Przemys³aw Jacewicz [email protected] 4. Ass. Prof. Pawe³ Majdzik [email protected] 5. Ass. Prof. Maciej Patan [email protected] 6. Lect. B³a¿ej Cichy [email protected] 7. Lect. £ukasz H³adowski [email protected] 8. Lect. Bartosz Kuczewski [email protected] 9. Lect. Wojciech Paszke [email protected] 10. Lect. Bart³omiej Sulikowski [email protected]

Telecommunications and Computer Security Division 1. Prof. Eugeniusz Kuriata (Head) [email protected] 2. Prof. Roman Gielerak [email protected] 3. Ass. Prof. Tomasz Hebisz [email protected] 4. Ass. Prof. S³awomir Nikiel [email protected] 5. Ass. Prof. Piotr Steæ [email protected] 6. Lect. Marek Jackiewicz [email protected] 7. Lect. Kamil Paw³owski [email protected] 8. Lect. Marek Sawerwain [email protected]

Administrative and Technical Staff 1. Ewa Lehmann (Secretary) [email protected] 2. Mariusz M¹dry (Chair, Lab. Engineer) [email protected] 3. Gracjan G³owacki (Lab. Engineer) [email protected] 4. Damian Kaczorowski (Lab. Engineer) [email protected] 5. Marcin Paszek (Lab. Engineer) [email protected] 6. Beata Bukowiec (Editorial Office) [email protected] 7. Anna Myœliwa (Editorial Office) [email protected] 8. Agata Wiœniewska-Kubicka (Editorial Office) [email protected]

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General information

Zielona Góra is the “heart” of the Lubuskie province, which is located in western Poland. The Lubuskie region is the crossing point of important trading routes leading from the North to the South and from the West to the East. The town is conveniently located between Berlin, Wroc³aw, Prague, Poznañ, Szczecin and Dresden.

The University’s origins date from 1965, when the Higher College of Engineering was founded in Zielona Góra. The College obtained a full academic status and became the Technical University of Zielona Góra in September 1996. Five years later the Technical University of Zielona Góra was integrated with the Pedagogical University in Zielona Góra. As a result, the University of Zielona Góra was established on September 1, 2001, as an independent academic institution.

The University is composed of three schools:

School of Engineering,

School of Sciences and Economics,

School of Arts, Humanities and Social Sciences.Almost all faculties (10 subject areas) have the rights to confer Ph.D. degrees

and three of them, the Faculty of Electrical Engineering, Computer Science and Telecommunications, the Faculty of Humanities and the Faculty of Mathematics, Computer Science and Econometrics, have the rights to confer D.Sc. (doctor habilitatis) degrees. The University employs almost 1100 members of academic staff, including 229 full-rank professors and associate professors, and 362 assistant professors. The University offers undergraduate (B.Sc.), graduate (M.Sc.), postgraduate and Ph.D. curricula for both full-time and part-time students. At present, the University provides education for more than 24200 students (13140 of whom study full time) in 27 subject areas and 110 options for specialization.

The Faculty of Electrical Engineering, Computer Science and Telecommunications is composed of four institutes:

Institute of Computer Engineering and Electronics,

Institute of Control and Computation Engineering,

Institute of Electrical Engineering,

Institute of Electrical Metrology.The Faculty has the rights to confer Ph.D. degrees in computer science

and electrical engineering and D.Sc. (doctor habilitatis) degrees in electrical engineering.

The Faculty employs 116 members of academic staff, including 19 full-rank professors, 4 associate professors, 39 assistant professors, and 46 lecturers.

The Faculty offers undergraduate (B.Sc.), graduate (M.Sc.) and Ph.D. curricula in three subject areas: Computer Science, Electrical Engineering and Electronics and Telecommunications. Moreover, postgraduate courses in Computer Science are offered. Altogether there are 2096 students, including 1260 students of

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Computer Science, 512 students of Electrical Engineering and 324 students of Electronics and Telecommunications.

The Institute of Control and Computation Engineering was established in 1992 as the fourth institute at the Faculty. Up to 1999 our Institute was called the Institute of Robotics and Software Engineering. Today’s organizational structure of the Institute includes:

Systems Analysis and Intelligent Computation Division,

Information Systems Division,

Telecommunications and Computer Security Division,

Editorial Office of the International Journal of Applied Mathematics and Computer Science,

Engineering Unit.The Institute’s academic staff comprises 29 members, including 5 full-rank

professors, 2 associate professors, 12 assistant professors, and 10 lecturers.

Meeting with Division Heads

University Campus A

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Members of

the Systems Analysis

and Intelligent

Computation Division

Members of

the Information

Systems Division

Members of

the Telecommunications

and Computer Security

Division

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Research profile

Soft computing and evolutionary computationsComputational intelligence, as a new paradigm for the development of

intelligent systems, has resulted from a synergy between neural networks, fuzzy sets, rough sets, and evolutionary computations. The main research activity is concentrated on neural networks, evolutionary computation, and their integration. Theoretical investigations of neural networks are focused on: multilayer perceptrons with dynamic models, learning algorithms, structure optimization by evolutionary algorithms; GMDH networks and their extensions: multi-output and dynamic networks; learning strategies for ensembles of feedforward networks. Moreover, fuzzy and neuro-fuzzy systems are investigated. The elaborated methods of artificial intelligence (AI) are applied to process modelling, identification and pattern recognition. The main emphasis is put on fault detection and diagnosis systems. Moreover, AI approaches are applied to the processing and manufacturing of materials. The investigations are concentrated on the modelling of production systems complexity, risk analysis and decision-making under uncertainty.

Evolutionary computations. Theoretical and simulation analysis deals with the convergence of evolutionary algorithms, their ability to cross saddles of objective functions, their effectiveness in finding global optima for strongly non-linear, multi-modal and multi-dimensional objective functions, and their adaptation efficiency in non-stationary environments. The main research topics include phenotype evolutionary algorithms, especially evolutionary search with soft selection and evolutionary programming algorithms, with mutations based on non-isotropic and isotropic α-stable distributions. Theoretical and simulation studies are focused on the application of evolutionary algorithms to control systems design, fault detection and isolation. The emphasis is put on genetic programming approaches to model-based fault detection systems design in order to improve their modelling accuracy and robustness.

Technical diagnostics – modelling and identification

In the context of fault detection and isolation, the research is concerned with the investigation of both qualitative and quantitative methods. Quantitative mathematical models used in traditional Fault Detection and Isolation (FDI) methods are very sensitive to modelling errors, parameter variation, noise and disturbance. Neural networks provide an excellent framework for dealing with non-linear systems. The emphasis is put on soft computing methods and their integration with analytical approaches. In particular, various neural networks, fuzzy logic and genetic programming-based approaches are considered for both static and dynamic non-linear systems. Another research direction is concerned with experimental design performed in order to minimise model uncertainty, i.e. the mismatch between the system and the model. The knowledge regarding (possibly small) model uncertainty is especially important from the point of view of model-8

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based fault diagnosis. It makes it possible to design a fault detection and isolation scheme which minimises the probability of false alarms as well as undetected faults resulting in severe economical losses.

In order to increase the reliability of fault diagnosis, several approaches were developed to design robust fault detection observers for both stochastic and deterministic non-linear systems. In this case, the main research attention is paid to the so-called unknown-input observers. In particular, a relatively simple design procedure, which guarantees the convergence of the resulting observer, was proposed for non-linear deterministic systems. For stochastic non-linear systems, a bounded-error state estimation technique together with a suitable model transformation was successfully employed.

Fault isolation problems are also investigated using neural, fuzzy, neuro-fuzzy and analytical classifiers. Based on expert system techniques, the integration problem of quantitative and qualitative methods was investigated. The research activities in fuzzy logic applications are mainly oriented towards developing effective methods of fuzzy knowledge representations in expert systems, the adaptation of fuzzy norms for fault classifiers, developing fuzzy model structures as well as fuzzy logic techniques in knowledge data discovery.

Many different problems were considered, e.g. searching for the optimal neuro-fuzzy structure, learning procedures or parameter allocation of fuzzy systems. Unsupervised learning and clustering techniques were used to estimate the rules number of neuro-fuzzy networks and to determine the parameters of these rules. The use of evolutionary algorithms in order to determine optimal fuzzy operators used for aggregation and inference was also considered.

Another field of interest is the development of analytical methods and soft computing-based approaches for Fault Diagnosis of Actuators (FDA). The research is focused on combining the classical and Genetic Programming (GP) approaches to work out a new robust fault detection observer for non-linear systems.

Another fruitful field of interest is the development of symptom extraction methods for fault classification in FDI systems. In order to perform this task, non-parametric statistical classifiers, neural networks and fuzzy logic systems were applied. In fact, the pattern recognition approach for FDI was investigated.

An important research direction is concerned with experimental design performed in order to minimise model uncertainty, i.e. the mismatch between the system and the model. In particular, such a strategy was effectively applied to neural networks resulting in more reliable and accurate neural models than those designed without it. Knowledge regarding (possibly small) model uncertainty is especially important from the point of view of model-based fault diagnosis. It makes it possible to design a fault detection and isolation scheme which minimises the probability of false alarms as well as undetected faults resulting in severe economical losses. This implies that neural networks designed with the above-mentioned experimental strategy can serve as an effective tool for fault detection.

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The proposed solutions were examined and tested using various benchmark problems, e.g. a laboratory two-tank system with a delay line, a computer simulator of a power plant station and real data from the Lublin sugar factory in Poland.

With a strong research background in the field of fault detection and isolation, several projects financed by the European Commission and the State Committee for Scientific Research (KBN) in Poland were conducted.

Multidimensional (nD) systems and repetitive processes

Multidimensional systems theory has been an area of active growth in the past two to three decades, which is a result of its widespread applications. The key feature of the dynamics of a multidimensional system is dependency on more than one indeterminate so that information is propagated in many independent directions. Physical processes such as wave propagation, atmospheric and river pollution, iterative learning control for robot manipulators, signal coding and filtering in communication systems and 3D object rendering in computer graphics and animation industry are some of the numerous applications with inherent multidimensional characteristics. Moreover, some computational algorithms and data analysis procedures, such as iterative learning control, have an intrinsic (and under-exploited) multidimensional structure due to the presence of more than one spatial variable, or the combined effect of space and time variables.

Recently, we have adopted a system-theoretic approach to study the stability and controller synthesis of multidimensional processes that may possess transportation lags, algebraic constraints, uncertainties, and non-linearities. A number of associated issues involving performance specification as well as enhancement, robustness, and reliability are addressed. Multidimensional processes in continuous and discrete time, as well as those having differential-difference and singular description, are considered. Feedback stabilization subject to performance specifications is investigated for a variety of feedback schemes. Particular attention is paid to stability and controller design for processes with repetitive, or multipass, behavior characterized by a series of sweeps through a set of dynamics defined over a fixed finite duration known as the pass length. With each pass, the pass profile is produced, which acts as a forcing function on the next pass profile. Long-wall coal cutting and metal rolling are important practical processes of this kind. One central task is the development of a unified state-space theory for stability and synthesis formulated in terms of matrix inequalities, which is supposed to have lower computational complexity than the other approaches.

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Distributed parameter systems – theory and applications

The research focuses on the problem of where to locate measurement sensors so as to guarantee maximal accuracy of parameter estimation. This is of paramount interest in applications, as it is generally impossible to measure the system state over the entire spatial domain. In particular, the optimal measurement problem for spatially movable and scanning sensors was considered. It is extremely attractive from the viewpoint of the degree of optimality and it does arise in a variety of applications, e.g. while measuring air pollutants or atmospheric variables, or in the context of emerging sensor networks.

In some situations, the observation system comprises multiple sensors whose positions are already specified and it is desired to activate only a subset of them during a given time interval while the other sensors remain dormant. A reason for not using all the available sensors could be the reduction of observation system complexity and the cost of operation and maintenance. Such a scanning strategy of taking measurements can be also interpreted in terms of several sensors which are mobile. A computationally attractive approach was developed based on some ideas for constructing replication-free models known in the classical optimum experimental design. In spite of their somewhat abstract assumptions, the resulting algorithms of an exchange type are very easy to implement.

Other aspects of the research cover the following areas:

parameter estimation and statistical inference for distributed parameter systems (using a high-performance software such as SAS, Fortran 90/95 with IMSL Library, and Matlab),

identifiability of parameters in distributed systems and the related sensor location problem,

numerical methods for partial differential equations including finite element and finite difference methods,

computer simulation of real physical processes (e.g. air and ground-water pollution) with the use of modern computation tools such as Fastflo, Fortran 90/95 with IMSL Library, Matlab, and Maple 9.5,

exploiting cellular automata as a tool for modelling real systems and an alternative to the classical description by partial differential equations,

optimal sensor location for discrimination between competing models of distributed parameter systems,

fault detection and isolation for distributed parameter systems (analytical methods based on state and parameter estimation).

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Applied cryptography, error-correcting coding, computer security

The most essential application of contemporary cryptography is the protection of data against unauthorized access and transmission errors. This task is particularly important for all activities of present computer networks and systems. The aim of the research is to develop methods of the synthesis of electronic documents in a form which can be equivalent to signed paper documents. The research activities concern the following problems:

systems of public key infrastructure and their applications,

synthesis of electronic documents fully equivalent to classic paper documents,

fast software implementation of cryptographic algorithms, operations in Galois fields, encoding and decoding algorithms,

constructing ciphers detecting manipulations on cryptograms,

construction of Latin squares of higher orders,

methods of designing quasigroup-based synchronous and self-synchronizing stream ciphers,

techniques for distributing confidential keys,

digital signature algorithms,

identification and entity authentication,

organizational aspects of computer security.

Computer graphics and virtual reality systemsComputer graphics. The main goal is to broaden the capabilities of

computer graphics and to introduce new mathematical modelling methods into image creation processes. Chaos and fractal theories are placed in the focus of research activities in this field. Recent developments in iterated function systems allow rendering complex graphical objects, and supporting intuitive user interface for the creation and manipulation of fractals. The results can be applied to terrain modelling, further curves and surfaces, light model evaluation and the representation of intricate graphical structures.

Visualization. The aim is to study how we perceive and recognize visual things and how we may use computer graphics to give insight to data and information. New paradigms for human-computer interactions are tested employing off-the-shelf technologies for hardware communication. The subject also provided opportunities for creativity through the graphic medium. In the nearest future, visualization techniques will be extended to encompass more general information in addition to numerical data, and will lead to essential tools for all who search for and use information, whether in business, commerce, manufacture, education, or science.12

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Virtual environments and multimedia. The main goal is to develop new interactive forms of human-computer communication, which is especially challenging in three-dimensional environments. Also, the reconstruction of non-existing architectural objects falls within the scope of the research. The following subjects are also studied: synthetic world generation, software tools and toolkits, VRML 2, representational issues, LODs, databases, performance issues, distributed environments. Applications of virtual environments to education and entertainment, architectural design, engineering and manufacturing, avionics and medicine are investigated as well.

Accurate video segmentation plays an important role in many applications, such as object-based video coding, video surveillance, interactive multimedia, and video editing. Recent international standards such as MPEG-4 and MPEG-7 are specially designed to support these applications. For example, MPEG-4 allows different video objects to be encoded separately and transmitted within separate data streams. The main research is the development of unsupervised video segmentation algorithms. The algorithms should detect semantic objects that are moving with respect to a moving or stationary background. The complexity of these algorithms should be low enough to allow real-time implementation. The main analytical tools used to perform this task are active contour models, especially those from the group of level set methods.

Digital cultural heritageDigital cultural heritage covers a range of technologies for digital preservation,

reconstruction and dissemination of the cultural content including narrative aspects and digital multimedia education. Virtual reality systems explore intuitive access to a rich spatial content. Research into virtual reality systems has often explored the concept of presence, which can be defined as “the illusion of non-mediated interaction”. The main aim is to extend the areas of this research into the field of re-creating virtual worlds reflecting places of historical interest, so that users from any background can feel as if they were really there. Therefore, a number of our visualizations will focus on photo-realistic rendering. User presence can be improved through the development of tools and techniques for the creation of real-time virtual landscapes, which provide a new dynamic perspective of both dry and submerged ancient landscapes from geographical and cultural heritage data. These techniques include both the correction of lens distortion, appropriate light/shading models delivered in real time and rapid prototyping allowing for the iterative process of reconstruction based on uncertain data. The use of scenarios, narratives and deep understanding of what is important in certain locations can greatly enhance experience for scientific purposes. So far, four historical places have been reconstructed in VR: the Synagogue in Zielona Góra, the Castle in Chojnik, the Manor House in Laski and the City Hall in Poznañ. The projects were presented at the EVA conference in Berlin, and at the VR laboratory of the University of Michigan (USA). Currently, three FP6 ICT projects considering the 13

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above-mentioned technology are submitted/being prepared: ECHO (Environments for Cultural Heritage of Orient), MILE (Mobile Interactive Learning Environment), and PRESENCE II.

Foundations of quantum information theoryQuantum Information (QI) is a new field of science and technology which

draws upon the disciplines of physical science, mathematics, computer science, and engineering. Its aim is to understand how fundamental physical laws can be harnessed to improve radically the acquisition, transmission, and processing of information. The inspiration for QI is the discovery that quantum mechanics laws could be exploited to perform very important and otherwise intractable information-processing tasks. Quantum effects have already been used to create fundamentally unbreakable cryptographic codes, to teleport the full quantum state of a photon, and to compute certain functions in fewer steps than any classical computer can (quantum computations and quantum algorithms).

Since the academic year 2003/2004 these new ideas have been popularised through systematic lectures and seminars organised for students and junior researchers of our Faculty. The main objective of this activity is to create a new research group concentrated on theoretical problems of QI. In particular, a systematic platform for exchanging ideas in a working form was originated as an interdisciplinary seminar entitled Q-INFO and all of that.

A preliminary version of a software for simulating the action of a quantum computer on a local computer cluster at our Institute will be finished and tested in the midst of 2005. The main objective of this activity is to create in a near future a software for simulating quantum computations on a bigger scale and by introducing the resources of the national hypercluster CLUSTERIX.

The main aim of the present activity of a recently formed research team is to catalyze and stimulate QI research at our Faculty. For this goal we develop and teach novel QI-based courses, hold regular interdisciplinary seminars and workshops (in future), supervise Ph.D. thesis research, and support undergraduate research internships. However, all of this is still at a very preliminary stage of development.

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Research laboratories

Laboratory of Modern Control Systems and Optimization

The purpose of the Modern Control Systems and Optimization Laboratory is to provide a laboratory environment for both education and research in the area of computer-based control systems. Four main research topics can be identified:

artificial intelligence in control systems applications, including neural networks, fuzzy logic, neuro-fuzzy networks, and expert systems,

process fault detection and isolation,

system modelling and identification,

2D and multidimensional systems.The educational profile of the laboratory is fully correlated with the lectures

on automatic control, modern control systems, and the modelling and simulation of control systems, which are delivered to both undergraduate and graduate students of Computer Science and Electrical Engineering.

In our laboratory, we have a state-of-the-art equipment for research into and practice of control engineering. The equipment includes the following:

two-tank system with flow delay,

tandem pendulum system,

magnetic suspension system,

speed control system with variable load,

air flow and temperature control system,

laboratory experimental robot.For all these systems, real-time digital control procedures are implemented,

which communicate with both system sensors and system actuators by I/O boards and power interfaces. The I/O boards are controlled by a real-time software which operates in the Matlab/Simulink environment. Some of the systems are controlled by programmable logic controllers (PLCs) as well. This not only shows students how PLCs work but also gives them practical information about installing, programming, and maintaining PLC systems.

The laboratory is equipped with Pentium PCs, widely used for the modelling and simulation of control systems, and for practice in modern control systems theory. The basic software used in our laboratory is Matlab 7.0 with various toolboxes, and Maple 9.5.

Laboratory of Software Engineering and Intelligent Computations

The laboratory is strictly related to the Institute’s research activities in the field of artificial intelligence and its applications to control systems, fault detection and isolation systems, as well as pattern recognition systems. It allows conducting 15

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experiments in the areas of neural networks (neural modelling of dynamic systems, neural control systems, pattern recognition and classification, experimental design for neural networks), soft computing (parameter adaptation and optimization via evolutionary algorithms, genetically designed system models, fuzzy and neuro-fuzzy systems, genetic programming, and hybrid systems), expert systems, and cellular automata (complex environmental systems).

Based on the equipment of this laboratory, the following advanced courses are offered: Artificial Intelligence, Expert Systems, Intelligent Computation Systems, Neural Networks, Evolutionary Computations, and Computer Algebra Systems.

The laboratory’s tools are based on the following software:

Matlab 7.0 with Simulink, Control, Neural Network and Fuzzy Logic toolboxes, Matlab Compiler (C, C++ Math Library),

Maple 9.5,

EXSYS – a shell for expert systems.Another activity conducted in the laboratory is oriented towards advanced

programming environments. In particular, the courses are devoted to the so-called Rapid Application Development software and the related modern technologies, e.g. Borland’s dbExpress, DataSnap, WebSnap, etc.

Laboratory of Computer Graphics and MultimediaThe main function of this laboratory is to support classes in computer

graphics, multimedia and virtual environments extending the graphics techniques taught earlier to cover the practical aspects of programming. The laboratory provides understanding of the impact of technology and software tools by means of case studies, and develops an awareness of potential applications of computers and their current limitations.

The range of applications introduced by the laboratory covers: medical graphics, image processing and analysis, terrain modelling, fractals, further curves and surfaces, rational forms, physics-based modelling, particle systems, animation, flight simulation, terrain generation.

The laboratory provides services for undergraduate and graduate computer science education, especially for students who take courses in subjects such as:

Introduction to Computer Graphics Programming (Pascal, C++),

Computer Graphics Applications (Photoshop, Corel, Cinema4D, Premiere),

Programming Languages (C, C++),

Multimedia Engineering,

Virtual Reality and Game Programming,

Fractals and Chaos.MS Windows is used for teaching along with a profesional software which

includes Adobe Premiere Pro and Maxon Cinema 4D. However, attention is also 16

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paid to concepts and tools that are available on most platforms (GPL and/or Open Source).

Courses available to more advanced graduate students in this laboratory include Advanced Multimedia Programming, Network-Based Media Applications, Digital Video Projects and Non-Linear Editing.

Laboratory of Intelligent Information SystemsThe laboratory is equipped with 10 high-performance PCs which are tailored

for teaching the fundamentals of modern information systems and data mining to graduates in Software Engineering based on the latest version of the SAS system (8e). SAS is the leading decision support and data warehousing software suite that brings together all the tools needed for analytical solutions, data mining, business visualization, rapid applications development, and much more. Thus, students have the opportunity to learn data mining using the Enterprise Miner, the first and only data mining solution that addresses the entire data mining process – all through an intuitive point-and-click graphical user interface. Combined with SAS data warehousing and OLAP technologies, it creates a synergistic, end-to-end solution that addresses the full spectrum of knowledge discovery. Classes are also provided to familiarise students with AppDev Studio, the first thin-client applications development solution that focuses specifically on information delivery. This integrated suite of tools allows building Web-based applications that use CGI and HTML, Java servlets and the JavaServer Pages technology, or sophisticated Java applications and applets to access information-delivery capabilities of SAS. Apart from that, several other SAS solutions are used in teaching regarding decision support, data visualization, data mining, statistical analysis and reporting (e.g. STAT, ETS, OR, QR, SECURE).

Laboratory of the Foundations of Computer Science and Parallel Computation

This laboratory is extensively used by students who go through the following courses:

Introduction to Computer Science (Pascal),

Computer Architecture,

Programming Languages (C),

Data Structures and Algorithms,

Object-Oriented Programming (C++, JAVA),

Software Engineering,

Database Systems,

Discrete Mathematics,

Numerical Methods. 17

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MS Windows 95/98/NT/2000 and Linux are used in teaching, but attention is primarily paid to concepts and tools that are available on most platforms.

Courses available to more advanced graduate students in this laboratory include:

Parallel Computation,

Parallel and Distributed Programming (ADA),

PC-Cluster Programming (C++, MPI).

Laboratory of Operating and Networking SystemsThe laboratory is strictly oriented towards educational and research activity

connected with operating systems, including networking systems. The laboratory is equipped with 12 modern Pentium IV-based computers, which can be run under the control of both Windows 2000 Professional or Linux Mandrake 9.1. Courses available to advanced graduate students include:

Operating Systems (with special attention paid to Windows 2000 Professional and Linux Mandrake 9.1),

Network Operating Systems (Linux Mandrake 9.1, QNX, Solaris 2 Unix),

Network Programming (Java, Borland C++ Builder, Borland Delphi, Unix environment programming),

Computer Networks.Both hardware and software equipment allows students to learn and

study the principles of common operating and networking systems, and to learn administration issues and API programming in a comfortable way.

Local CISCO Academy LaboratoryThe CISCO laboratory makes it possible for our students to participate

in the Networking Academy Program offered by CISCO Systems, Inc. For many professionals around the world, this is one of the most important steps to get a promising professional development in the networking and IT industries. The CISCO program teaches students valuable networking skills, including routing and switching, as well as advanced technologies – wireless, network security, voice, storage, home networking and optical. The academy curriculum covers a broad range of topics starting from the basic knowledge on how to build a network up to advanced WAN technologies, and more complex IT concepts such as applying advanced troubleshooting tools. The course provides an innovative educational program based on e-learning and online assessment with automated scoring integrated with a gradebook for students and instructors. During the course students have an opportunity to perform all necessary practical tasks and hands-on-labs that could be encountered in their professional careers. The program is still being improved by adding some novelties whenever they turn up.

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CISCO facility (left) and a wireless communication system (right)

The whole course lasts four semesters and offers an opportunity to obtain a CISCO CCNA engineering certificate.

The laboratory is equipped with 12 PCs (Athlon XP CPU with 1GB RAM memory, 15” TFT LCD monitors, etc.). Moreover, the CISCO network hardware (among other things, the routers CISCO 2514, CISCO 2610 and the switches WS-C2924-XL-EN) is available to students to test their skills.

Laboratory of Wireless CommunicationThis laboratory supports education and research into applications of modern

wireless technologies, GSM technologies and Bluetooth.The laboratory consists of 10 PCs equipped with wireless cards and Bluetooth

adapters. Additionally, new cell phones under the control of Symbian are available, i.e. Nokia 6600, Nokia 9210i and Sony Ericsson P900. This allows performing transmission tests with HSCSD and GPRS protocols. Furthermore, students can programme and configure these phones using the C++ or the Java language.

Moreover, three separate wireless networks are interconnected to exchange data. Among them, two networks work under the IEEE 802.11b/g protocol, and one uses the Bluetooth technology. During classes students get acquainted with methods of the configuration and securing of these wireless networks against undesirable access.

The main goal of our research is to broaden the capabilities of the modern technology of wireless data transmission, develop mobile applications using the latest programming platforms and methods of the protection of wireless communication networks.

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Education

The Institute offers Ph.D., M.Sc. and B.Sc. degrees in Computer Science and Electrical Engineering. The Ph.D. degree requires 8 semesters (four years) and a satisfactory Ph.D. thesis. The M.Sc. degree requires 10 semesters (five years) and a satisfactory thesis, whereas the B.Sc. degree requires only 7 semesters (3.5 years) and a satisfactory diploma. Moreover, the Institute offers postgraduate courses in Computer Science, which last two or three semesters (1 or 1.5 year).

In general, the Institute offers two options for specialization in M.Sc. and B.Sc. studies:

Software Engineering in Computer Science,

Computer Control Systems in Electrical Engineering,and, additionally, one option for B.Sc. studies only:

Data Communications in Electronics and Telecommunications.Graduates in Software Engineering are qualified to work, e.g. as:

software engineering specialists,

designers and/or administrators of computer systems.During the studies the emphasis is put on:

efficient use of digital techniques, software and computer hardware: elements of computer graphics and multimedia techniques, modern engineering design packages, and real-time programming languages,

computer-aided decision support techniques and systems: monitoring of technological processes, knowledge discovery, data mining, pattern recognition, and artificial intelligence,

object-oriented and distributed databases: design, building and administration of advisory systems and simulators,

computer networks: LAN, WAN and the Internet,

concurrent and distributed software systems dedicated to multiprocessor computers and clusters.Graduates specializing in Computer Control Systems are educated to work as:

designers of data processing systems,

designers and administrators of computer control systems.During the studies the emphasis is put on the following areas:

efficient use of computer engineering: computer architecture, digital systems, software for microprocessor devices, digital signal processing, and computer graphics,

CAD systems: modern engineering design packages, DSP packages,

information systems: expert systems, data mining, real-time systems, and processing in distributed systems,

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control systems: identification, optimal control, neural-fuzzy control, optimization, artificial intelligence, and technical diagnostics.Graduates specializing in Data Communications are educated to work as:

designers and administrators of information security systems,

designers and administrators of data communications systems.During the studies the emphasis is put on the following areas:

digital telecommunications systems, wireless communication systems and data transmission,

microprocessor and digital signal processors technology applied to telecommunications systems design,

security engineering: hardware and software for data security, cryptography, public key infrastructure for electronic documents management, security in wireless communication protocols,

coding theory and the theory of information: information measurement, coding theory, algebraic decoding methods of linear and cyclic codes,

information systems: expert systems, real-time systems, and processing in distributed systems,

computer networks: LAN, WAN and the Internet,

software systems dedicated to cordless devices.

Ph.D. studiesHead of the studies at the Faculty: Prof. Dariusz UciñskiDuration: 4 years (8 semesters)Number of first-year students: 15Number of second-year students: 9Number of third-year students: 7

On October 1, 2002, our Faculty started offering Ph.D. studies (in Poland only academic institutions with the rights to confer D.Sc. (doctor habilitatis) degrees are allowed to run this level of studies). The Institute is involved in those studies. Exemplary courses offered to students are:

Mathematical Modelling in Electrical Engineering,

Statistical Methods for Engineers,

Foundations of Quantum Information Theory,

Soft Computing Systems,

Intelligent Computation Systems.

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Students from

FH Giessen

in our laboratory

Postgraduate courses in Computer ScienceHead of the courses: Prof. Józef KorbiczDuration: 1 or 1.5 year (2 or 3 semesters) during weekends onlyAverage number of students every year: 45Period: since 1996 every year; courses start in the midst of September

The courses are offered to people with M.Sc. or, exceptionally, B.Sc. degrees, who need background or advanced knowledge in computer science. Three specializations are offered:

Internet Techniques and Computer Networks,

Computer Science in Education and Engineering (3 semesters),

Information Security Engineering in Data Communications.

International educationIn 2004 the fruitful collaboration between our Faculty and the Faculty of

Mathematics, Natural Sciences and Computer Science of the University of Applied Sciences (FH) Giessen, Germany, which dates back to 1996, reached the next important stage. In the winter semester, studies in Software Engineering started for German graduates from the FH Giessen wishing to obtain M.Sc. diploma from our Faculty. The studies are coordinated by Professor Dariusz Uciñski, and during the winter semester five students attended elective courses offered in English by the lecturers of our Institute. In the spring semester of 2005, they will prepare their M.Sc. theses supervised by the professors of our Institute. It is for the first time that studies directed for foreign students have been organized at the University of Zielona Góra.

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Academic staff

Prof. Józef Korbicz, Ph. D., D. Sc., Director

Scientific standing Soft computing methods and techniques: artificial neural networks

(optimization of multilayer networks, GMDH (Group Methods of Data Handling) networks and their extensions, networks with the dynamic model of neurons), fuzzy and neuro-fuzzy systems (structure and parameter optimization), bounded-error analysis, expert systems;

Fault Detection and Isolation (FDI): analytical methods (model-based approach, robust observers, unknown input observers); soft computing techniques (neural and neuro-fuzzy models, classifiers, optimization of diagnostic systems, expert systems);

Modelling and simulation: distributed parameter systems (modelling, state and parameter estimation, sensors and actuators location), applications (sugar and power plants, air pollution processes).

Teaching Soft Computing, Numerical Methods, Mathematical Methods in Computer

Science, seminars.

Recent publications Fault Diagnosis. Models, Artificial Intelligence, Applications. Korbicz J.,

Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.): Springer-Verlag, 2004, 920 p.

Advances in fault diagnosis systems. Korbicz J. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, Vol. 2, pp. 725-734 (plenary lecture).

Confidence estimation of GMDH neural networks. Korbicz J., Metenidis M.F., Mrugalski M. and Witczak M. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, ICAISC, Springer-Verlag, 2004, Vol. 3070, pp. 210-216.

A novel generic programming approach to non-linear system modelling: Application to the DAMADICS benchmark problem. Metenidis M.F., Witczak M., and Korbicz J. – Engineering Applications of Artificial Intelligence, 2004, Vol. 17, pp. 363-370.

Designing state-space models with neural networks. Korbicz J., Mrugalski M. and Parsini T. – Proc. 15th IFAC Triennal World Congress, Barcelona, Spain, July 21-26, 2002, CD-ROM.

Soft computing method approaches to fault diagnosis for dynamic systems. Calado J.M.F., Korbicz J., Patan K., Patton R.J. and Sa da Costa J.M.G. – European Journal of Control, 2001, Vol. 7, No. 2-3, pp. 248-286.

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Prof. Dariusz Uciñski, Ph. D., D. Sc., Deputy Director

Scientific standing Distributed parameter systems: optimal sensor and actuator location (fixed,

scanning and moving sensors);

Optimum experimental design: applications to dynamic systems identification;

Numerical methods for partial differential equations: finite element and finite difference methods, computer simulation of real physical processes;

Algorithmic optimal control: state-constrained problems;

Artificial intelligence: cellular automata as a means of modelling real systems;

Mobile robotics: self-localization and novelty detection.

Teaching Optimization Methods, Data Analysis, Probabilistic Methods, Identification

Techniques, Mathematical Methods in Computer Science, Introduction to Computer Science, seminars.

Recent publications Optimal Measurement Methods for Distributed Parameter System

Identification. Uciñski D. – Boca Raton, FL: CRC Press, 2004, 371 p. Experimental design for time-dependent models with correlated

observations. Uciñski D. and Atkinson A.C. – Studies in Nonlinear Dynamics & Econometrics, 2004, Vol. 8, No. 2, Article 13, http://www.bepress.com/snde/vol8/iss2/art13

An approach to the optimal scanning measurement problem using optimum experimental design. Uciñski D. and Demetriou M. – Proc. American Control Conference, ACC, Boston, Massachusetts, USA, June 30-July 2, 2004, CD-ROM.

T-optimum designs for multiresponse dynamic heteroscedastic models. Uciñski D. and Bogacka B. – In: Di Bucchianico A., Läuter H. and Wynn H. (Eds.): mODa 7, Proc. 7th Int. Workshop Model-Oriented Design and Analysis, Kapellerput, Heeze, The Netherlands, 2004 – Physica-Verlag, pp. 191-199.

Determination of optimum measurement efforts for parameter estimation of distributed systems. Uciñski D. – Proc. 16th Int. Symp. Mathematical Theory of Networks and Systems, MTNS, Leuven, Belgium, July 5-9, 2004, CD-ROM.24

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Prof. Krzysztof Ga³kowski, Ph. D., D. Sc., Division Head

Scientific standing Multidimensional nD systems and repetitive processes: theory

and applications: control, uncertainty, LMI methods;

Numerical and symbolic computations: Matlab, Maple, Scilab;

Computer simulation of physical processes: metal rolling and coal cutting;

Complex hybrid and hierarchical systems: theory and applications

Teaching Numerical Methods, Computer and Modern Control Systems, seminars.

Recent publications International Journal of Applied Mathematics and Computer Science:

Special Issue on Multidimensional Systems nD and Iterative Learning. Guest Editors: Ga³kowski K., Rogers E. and Longman R., 2003, Vol. 13, No. 1.

International Journal of Control: Special Issue on Multidimensional Control Systems: Theory with a View to Applications. Guest Editors: Ga³kowski K. and Vinnikov V., 2004, Vol. 77, No 9.

Z-transform and Volterra operator based approach to controllability and observability of a class of 2D linear systems. Dymkov M., Gaishun I., Rogers E., Ga³kowski K. and Owens D.H. – Int. J. of Multidimensional Systems and Signal Processing, 2003, Vol. 14, pp. 365-395.

Stability and control of differential linear repetitive processes using an LMI setting. Ga³kowski K., Paszke W., Rogers E., Xu S., Lam. J. and Owens D.H. – IEEE Trans. on Circuits and Systems, II: Analog and Digital Signal Processing, 2003, Vol. 50, No. 9, pp. 662-666.

Robust stability and stabilisation of 2D time-delay systems. Paszke W., Lam J., Ga³kowski K., Xu S. and Lin Z. – System & Control Letters, 2004. Vol. 51, pp. 277-291.

Guaranteed cost control of uncertain differential linear repetitive processes. Paszke W., Ga³kowski K., Rogers E. and Owens D. – IEEE Trans. on Circuits and Systems, II: Express Briefs, 2004, Vol. 51, No. 11, pp. 629-634.

Output feedback control of discrete linear repetitive processes. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.H. – Automatica, 2004, Vol. 40, No. 12, pp. 2167-2173.

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Prof. Roman Gielerak, Ph. D., D. Sc.

Scientific standing Quantum information theory: mathematical problems of quantum

information processing (computational complexity, quantum computations, quantum algorithms, simulations of quantum computations, quantum games);

Quantum theory: mathematical problems and applications of quantum systems with many degrees of freedom, macroscopic quantum phenomenon and their possible applications to quantum processing information;

Mathematical modelling of non-relativistic quantum Bose matter containing Bose-Einstein condensate;

General theory of entangled quasi-free thermal structures on Weyl algebras.

Teaching Foundations of Quantum Mechanics, Foundations of Quantum Information

Theory, Computer Mathematics, Numerical Analysis, seminars.

Recent publications Statistical mechanics of a class of anyonic systems. The rigorous approach.

Gielerak R. and Ralowski R. – J. of Nonlinear Mathematical Physics, 2004, Vol. 11, pp. 85-91.

Quantum informatics. Gielerak R. and Sawerwain M. – Software 2.0, 2004, Vol. 117, pp. 38-47 (in Polish).

4D local quantum field theory models from covariant stochastic partial differential equations. Gielerak R. and £ugiewicz P. – Reviews in Math. Phys. 2002, Vol. 13(2), pp. 335-408.

4D gauge-like quantum fields from rectangular systems of stochastic partial differential equations. Gielerak R. and £ugiewicz P. – In: Stochastic Processes, Physics and Geometry: New Interplays, Canadian Mathematical Society, 2000, Vol. 2, pp. 233 241.

Some models of nonideal Bose Gas with Bose-Einstein condensate. R. Gielerak – Mathematical physics and stochastic analysis: essays in honour of Ludwig Streit. – Singapore: World Scientific Publishing, 2000, pp. 215-227.

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Prof. Eugeniusz Kuriata, Ph. D., D. Sc., Division Head

Scientific standing Information theory: error-correcting codes;

Cryptology and linear algebra: computational complexity, combinatorial problems, operations in Galois fields, cryptographic algorithms;

Computer and data security: computer viruses, public key infrastructure, network and computer security, digital signature algoithms, electronic documents.

Teaching Error Correcting Codes, Network and Computer Security, Cryptography,

Internet Technologies, Public Key Infrastructure, seminars.

Recent publications The problem of computer electromagnetic radiation and protection

of information. Kuriata E. – IT Security Magazine, 2004, No. 3, pp. 35-42

Accessibility of information in real-time systems. Hebisz T., Kuriata E. – Proc. Conf. Computer Information Systems and Applications. Bia³ystok: University of Finance and Management, 2004, Vol. 1, pp. 167-175.

Public keys distribution. Kuriata E. and Paw³owski K. – Proc. Advanced Computer Systems, ACS, Miêdzyzdroje, Poland, Oct. 23-25, 2002, Vol. 2, pp. 131-137.

Safety of key generators. Jackiewicz M., Kuriata E. and Hebisz T. – Proc. Conf. Computer Information Systems and Industrial Management Applications, CISIM, Bia³ystok, June 26-28, 2003, pp. 226-231.

Information and Error-Correcting Codes Theory. Kuriata E.: Technical University of Zielona Góra Press, 2001, 322 p. (in Polish).

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Assoc. Prof. Andrzej Obuchowicz, Ph.D.,D.Sc., Division Head

Scientific standing Computational intelligence: evolutionary algorithms, artificial neural

networks, hybrid systems;

Global optimization and adaptation methods: measures of algorithm efficiency, adaptation in non-stationary environments and adaptation with evolutionary and stochastic algorithms;

Max-plus algebra application to discrete-event dynamic systems (DEDS): modelling and performance analysis of DEDS, foundations of control theory of DEDS within the max-plus algebra formalism;

Computer-aided medical diagnosis: cytomorphometry of fine needle biopsy material from breast cancer, automatic diagnostic systems based on digital slides of histological and cytological microscopic materials.

Teaching Theoretical Foundations of Computer Science, Algorithms and Data

Structures, Soft Computing, Evolutionary Computing, Global Optimization Methods, Numerical Methods.

Recent publications Phenotypic evolution with mutation based on symmetric α-stable

distributions. Obuchowicz A. and Prêtki P. – Int. J. Applied Mathematics and Computer Science, 2004, Vol. 14, No. 3, pp. 289-316.

Evolutionary methods in designing diagnostic systems. Obuchowicz A. and Korbicz J. – In: Fault Diagnosis. Models, Artificial Intelligence, Applications. Korbicz J., Koœcielny J.M., Kowalczuk Z., and Cholewa W. (Eds.): Springer-Verlag, 2004, pp. 301-331.

Multi-dimensional mutations in evolutionary algorithms based on real-valued representation. Obuchowicz A. – Int. J. System Science, 2003, Vol. 34, No. 7, pp. 469-483.

Population in an evolutionary trap: simulation of natural exploration. Obuchowicz A. – Bulletin of the Polish Academy of Sciences: Technical Sciences, 2003, Vol. 51, No. 1, pp. 51-104.

Evolutionary Algorithms for Global Optimization and Dynamic System Diagnosis. Obuchowicz A. – Zielona Góra: Lubuskie Scientific Society, 2003, 196 p.

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Assoc. Prof. Andrzej Pieczyñski, Ph. D., D. Sc.

Scientific standing Soft computing: artificial neural networks, fuzzy systems, fuzzy neural

networks, structure and parameter optimization of fuzzy models, knowledge discovery;

Fault detection and isolation: fuzzy modelling of processes, technical diagnostics, fuzzy fault classifiers;

Knowledge-based computer systems: fuzzy knowledge representation in expert systems, feature diagrams applications to diagnostic systems, power plant diagnostic systems.

Teaching Artificial Intelligence, Expert Systems, Control Systems, Computer

Architecture, Computer Programming, Database Systems, Neuro-Fuzzy Control, Technical Diagnostics, Intelligent Computation Systems.

Recent publications Application of the general Gaussian membership function for the fuzzy

model parameters tunning. Pieczyñski A. and Obuchowicz A. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence. Int. Conf. Artificial Intelligence and Soft Computing, ICAISC, Springer-Verlag, 2004, Vol. 3070, pp. 350-355.

Application of fuzzy weighted feature diagrams to model variability in software families. Robak S. and Pieczyñski A. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, ICAISC, Springer-Verlag, 2004, Vol. 3070, pp. 370-375.

Knowledge Representation in Industrial Processes Diagnosis. Pieczyñski A. – Zielona Góra: Lubuskie Scientific Society, 2003, 199 p. (in Polish).

Employment of fuzzy logic in feature diagrams to model variability in software families. Robak S. and Pieczyñski A. – J. of Integrated Design and Process Systems, 2003, Vol. 7, No. 3. pp. 79-94.

Features with fuzzy probability. Pieczyñski A., Robak S. and Walaszek-Babiszewska A. – Proc. 11th IEEE Int. Conf. and Workshop Engineering of Computer-Based Systems, ECBS, Brno, Czech Republic, May 26-27, 2004, pp. 323-328.

Adaptive controller with fuzzy knowledge representation. Pieczyñski A. – Pomiary, Automatyka, Kontrola, No. 4, 2003, pp. 9-13 (in Polish).

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Ass. Prof. Tomasz Hebisz, Ph. D.

Scientific standing Cryptography and cryptoanalysis: block- and streamciphers, modern

symmetric and asymmetric cryptosystems, fast software implementation of cryptographic algorithms;

Information theory: error-correcting codes, linear codes, cyclic codes, algebraic methods of cyclic codes’ decoding, operations in Galois fields, encoding and decoding algorithms;

Cryptology and linear algebra: computational complexity, combinatorical problems;

Computer and data security: data protection in systems and computer networks, public key infrastructure, data security in wireless communication, ciphers detecting manipulations on cryptograms, Latin squares in cryptography.

Teaching Computer Graphics and Multimedia, Synthesis of 3D Digital Graphics,

Computer Systems of Desktop and Web Publishing, Object-Oriented Programming, Cryptography and Security Engineering, Client-Server Databases Systems, Non-Linear Video Montage, DVD Authoring.

Recent publications The capacity of ciphers fulfilling the accessibility of cryptograms. Hebisz T.

In: Advanced Computer Systems, Kluwer Academic Publishers, 2004, pp. 25-34.

Accessibility of information in real-time systems. Hebisz T. and Kuriata E. – Proc. Int. Conf. Computer Information Systems and Applications. Bia³ystok, Poland, June 14-16, 2004, Vol. 1, pp. 167-175.

Fulfillment of computer security and safety by using symmetric-key block cryptosystem resistant to manipulations on ciphertext. Hebisz T., Kuriata E. and Jackiewicz M. – Proc. Int. Conf. Computer Information Systems and Industrial Management Applications, CISIM, Bia³ystok, Poland June 26-28, 2003, pp. 204-211.

The capacity of ciphers fulfilling the accessibility of cryptograms. Hebisz T. and Kuriata E. – Proc. 10th Int. Multi-Conf. Advanced Computer Systems, ACS, Miêdzyzdroje, Poland, Oct. 22-24, 2003, CD-ROM.

A method of constructing symmetric-key block cryptosystem resistant to manipulations on ciphertext. Hebisz T. and Koœcielny Cz. – Bulletin of the Polish Academy of Sciences: Technical Sciences, 2002, Vol. 50, No. 4, pp. 375-387.30

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Ass. Prof. Przemys³aw Jacewicz, Ph. D.

Scientific standing Artificial intelligence: cellular automata, modelling, parallel computation;

Identification of discrete models: parameter estimation and structural identification of cellular automata;

Numerical methods of the optimisation of discrete problems: evolutionary algorithms, random search techniques and integer programming;

Parallel processing: simulations of cellular automata, optimisation of algorithms.

Teaching Mathematical Methods in Computer Science, Network Operating Systems,

Object-Oriented Programming, Database Management, Parallel and Distributed Computations.

Recent publications LUCAS: an original tool for landscape modelling. El Yacoubi S., El Jai A.,

Jacewicz p. and Pausas J. – J. of Environmental Modelling and Software, 2003, Vol. 18, pp. 429-437.

Analyse et contrôle par automates cellulaires. El Yacoubi S., Jacewicz P. and Ammor N – Annals of the University of Craiova: Math & Comp. Sc. Series, 2003, Vol. 30, pp. 210-212.

Model Analysis and Synthesis of Complex Physical Systems Using Cellular Automata. Jacewicz P – Lecture Notes in Control and Computer Science, University of Zielona Góra Press, 2003, Vol. 4, 134 p.

A cellular automata approach to modelling forest dynamics. Jacewicz P. and Korbicz J. – Proc. 10th Int. Conf. System Modelling Control, SMC, Zakopane, Poland, May 21-25, 2001, Vol. 1, pp. 307-314.

Cellular automata and controllability problem. El Yacoubi S. and Jacewicz P. – Proc. 14th Int. Symp. Mathematical Theory of Networks and Systems, MTNS, Perpignan, France, June 19-23, 2000, CD-ROM.

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Ass. Prof. Andrzej Janczak, Ph. D.

Scientific standing Non-linear system identification: methods and algorithms

for the identification of non-linear dynamic systems;

Artificial neural networks in systems modelling and control: neural network models of Wiener and Hammerstein systems;

Gradient-based and evolutionary algorithms for training recurrent neural network models;

Model-based approach to fault detection and isolation: applications to industrial processes.

Teaching Control Theory, Modern Control Systems, Digital Signal Processing, Artificial

Neural Networks.

Recent publications Identification of Nonlinear Systems Using Neural Networks and Polynomial

Models. A Block-Oriented Approach. Janczak A.: Springer-Verlag, 2005, 197 p.

Parametric and neural network Wiener and Hammerstein models in fault detection and isolation. Janczak A. – In: Fault Diagnosis. Models, Artificial Intelligence, Applications. Korbicz J., Koœcielny J. M., Kowalczuk Z. and Cholewa W. (Eds.): Springer-Verlag, 2004, pp. 381-410.

Identification of Wiener and Hammerstein Systems with Neural Network and Polynomial Models. Methods and Applications. Janczak A.: University of Zielona Góra Press, 2003, 185 p.

Training of neural network Wiener models with recursive prediction error algorithm. Janczak A. – In: Advances in Soft Computing. Rutkowski L. and Kacprzyk J. (Eds.): Proc. 6th Int. Conf. Neural Networks and Soft Computing: Physica-Verlag, 2003, pp. 692-697.

Neural network approach to identification of Hammerstein systems. Janczak A. – Int. J. of Control, 2003, Vol. 76, No. 17, pp. 1749-1766.

A comparison of four gradient learning algorithms for neural network Wiener models. Janczak A. – Int. J. of Systems Science, 2003, Vol. 34, No. 1, pp. 21-35.

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Ass. Prof. Marek Kowal, Ph. D.

Scientific standing Soft computing: fuzzy and neuro-fuzzy systems, fuzzy modelling, fuzzy

classifiers, fuzzy clustering, fuzzy decision trees, learning algorithms, structure optimisation of neuro-fuzzy models;

Fault detection and isolation: technical diagnostics, model-based approaches, symptom extraction, robust fault detection under model uncertainty, applications to industrial and laboratory processes;

Model uncertainty: evaluation of fuzzy model uncertainty using bounded-error approaches, applications to fault detection, decision-making under uncertainty;

Knowledge discovery: clustering algorithms, decision trees, data mining and knowledge discovery algorithms for data warehouses.

Teaching Elements of Artificial Intelligence and Expert Systems, Intelligent

Computation Systems, Data Warehouses, Object-Oriented Programming, Uncertainty and Risk Modelling, Operating Systems.

Recent publications Self-organizing Takagi-Sugeno fuzzy model in a fault detection system.

Kowal M. and Korbicz J. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 253-258 (in Polish).

Fault isolation based on HSFNN applied to the DAMADICS benchmark problem. Calado J.M.F., Louro R., Mendes M.J.G.C., Sa da Costa J.M.G and Kowal M. – Proc. 5th IFAC Symp. Fault Detection, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 1053-1058.

Neuro-fuzzy structures in FDI system. Mendes M.J.G.C., Kowal M., Korbicz J. and Sa da Costa J.M.G. – Proc. 15th IFAC Triennal World Congress, Barcelona, Spain, July 21-26, 2002, CD-ROM.

Fault detection using neuro-fuzzy networks. Kowal M., Korbicz J., Mendes M.J.G.C. and Calado J.M.F. – Systems Science, 2002, Vol. 28, No. 1, pp. 45-57.

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Ass. Prof. Pawe³ Majdzik, Ph. D.

Scientific standing Max-plus algebra applications to discrete event dynamic systems: models

of flexible manufacturing systems, algebraic analysis of systems of sequential cyclic processes;

Modelling and simulation of discrete-event dynamic systems: distributed control of sequential cyclic processes, synthesis algorithms of sequential cyclic processes.

Teaching Database Systems, Object-Oriented Programming, Concurrent

and Distributed Programming.

Recent publications An automatic synthesis of distributed control procedures in concurrent

cyclic processes systems. Majdzik P., Polak M., Muszyñski W. and Banaszak Z. – In: Zaborowski M. (Eds.): Discrete Processes Automatization, WNT, Warsaw, Poland, 2004, pp. 255-265 (in Polish).

The performance evaluation tool for automated prototyping of concurrent cyclic processes. Polak M., Majdzik P., Muszyñski W. and Banaszak Z. – Fundamenta Informaticae, 2004, Vol. 60, No. 1-4, pp. 269-289.

An automatic synthesis of performance models for systems of concurrent cyclic processes. Majdzik P., Wójcik R. and Banaszak Z. – Proc. 15th Int. Conf. System Science, Wroc³aw, Poland, Sept. 7-10, 2004, pp. 281-292.

An automatic synthesis of distributed control procedure for systems of concurrent cyclic processes. Majdzik P., Polak M., Banaszak Z. and Wójcik R. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, pp. 1189-1194.

Towards concurrent processes prototyping. Banaszak Z., Majdzik P. and Polak M. – Proc. 26th IFAC/IFIP/IEEE Workshop Real-time Programming, WRTP, £agów, Poland, May 14-17, 2003, Colnaric M., Adamski M., Wêgrzyn M. (Eds.): Oxford, Elsevier, pp. 63-68.

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Ass. Prof. Andrzej Marciniak, Ph. D.

Scientific standing Fault diagnosis systems: pattern recognition approach, classification

approach;

Software engineering: N-version programming and neural network ensemble, methods for statistics and validation techniques for combining hypothesis;

Image processing: analysis of microscopic images, cytomorphometry of fine needle biopsy material from breast cancer, biomedical images segmentation;

Knowledge modelling: designing data mining algorithms for rules extraction;

Pattern classification: fuzzy clustering algorithms, independent component analysis;

Computational engineering: artificial neural networks and fuzzy logic, genetic algorithms.

Teaching Artificial Intelligence, Data Warehousing, Pattern Recognition, Programming

Web Applications in Java.

Recent publications Pattern recognition approach to fault diagnostics. Marciniak A.

and Korbicz J. – In: Fault Diagnosis. Models, Artificial Intelligence, Applications. Korbicz J., Koscielny J.M., Kowalczuk Z. and Cholewa W. (Eds.): Springer-Verlag, 2004, pp. 557-590.

Pattern recognition approach to fault diagnosis in the DAMADICS benchmark flow control valve. Marciniak A., Bocaniala C.D., Louro R., Sa da Costa J.M.G. and Korbicz J. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 957-962.

Diagnosis system based on multiple neural classifiers. Marciniak A. and Korbicz J. – Bulletin of the Polish Academy of Sciences: Technical Sciences, 2001, Vol. 4, pp. 681-702.

The Bayesian formalism for combining multiple decision of a neural network ensemble. Marciniak A. and Korbicz J. – Proc. European Control Conference, ECC, Porto, Portugal, Sept. 4-7, 2001, Vol. 5, CD-ROM.

Fuzzy approach to combining parallel experts response. Marciniak A. – In: Advances in Soft Computing: Fuzzy Control. Hampel R., Wagenknecht M. and Chaker N. (Eds.): Springer-Verlag, 2000, pp. 354-360. 35

CMYK

Ass. Prof. Marcin Mrugalski, Ph. D.

Scientific standing Identification: non-linear and dynamic, neural network-based modelling

of non-linear systems, model structure optimisation using the group method of data handling;

Model uncertainty: evaluation of neural model uncertainty using bounded-error approaches;

Robust fault detection: model-based approaches, robust fault detection using adaptive threshold approaches;

Diagnostics of industrial processes: analytical and soft computing methods, applications.

Teaching Computer Networks (CISCO Local Academy Instructor), Intelligent

Computation Systems, Algorithms and Data Formats, Computer Architecture, Operating and Network Systems.

Recent publications Confidence estimation of GMDH neural networks. Korbicz J., Metenidis M.F.,

Mrugalski M. and Witczak M. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, ICAISC, Springer-Verlag, 2004, Vol. 3070, pp. 210-216.

Selection of the neural model structure for the fault detection of dynamic systems schemes. Mrugalski M. and Korbicz J. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 275-280 (in Polish).

Fault detection with dynamic GMDH neural networks: Application to the DAMADICS benchmark problem. Mrugalski M., Arinton E. and Korbicz J. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 1071-1076.

Dynamic GMDH type neural networks. Mrugalski M., Arinton E. and Korbicz J. – Proc. 6th Int. Conf. Neural Networks and Soft Computing, Zakopane, Poland, June 11-15, 2002, Springer-Verlag: Advances in Soft Computing, 2003, pp. 698-703.

Systems identification with GMDH neural networks: A multi-dimensional case. Mrugalski M., Arinton E. and Korbicz J. – In: Pearson D.W., Steel N.C. and Albrecht R.F. (Eds.): Computer Science, Int. Conf. Artificial Neural Networks and Genetic Algorithms, ICANNGA: Springer-Verlag, 2003, pp. 115-120.

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Ass. Prof. S³awomir Nikiel, Ph. D.

Scientific standing Real-time computer graphics: fractal modelling and virtual reality systems,

image generation and modelling. Application of formal methods of shape generation with fractals, image-based rendering techniques;

Digital cultural heritage: re-creating virtual worlds refelecting places of historical interest. Reconstruction of ancient landscapes from geographical and cultural heritage data. Correction of lens distortion, appropriate light and shading models delivered in real time and rapid prototyping prermitting iterative process of reconstruction based on uncertain data;

Software engineering including the design of graphical user interfaces and the technology of human computer interaction;

Geographical information systems, mobile communication and multimedia.

Teaching Computer Graphics, Multimedia Systems, Virtual Reality Systems, Software

Engineering, Mobile Java Programming.

Recent publications Photogrammetry in computer based modelling of architecural objects.

Nikiel S. and Kupaj M. – Pomiary, Automatyka, Robotyka, 2004, Vol. 7-8, pp. 112-115 (in Polish).

Generation of volumetric escape time fractals. Nikiel S. and Goiñski A. – Computers and Graphics, 2003, Vol. 27, No. 6, pp. 977-982.

Creating virtual reconstructions with the environmental context. Nikiel S. – Proc. Elektronische Bildverarbeitung & Kunst, Kultur, Historie, Berlin, 2004, pp. 47-49.

Fractal image compression for efficient texture mapping. Nikiel S. and Stachera J. – Int. Workshop Computer Graphics, Plzen, Czech Republic, 2004, Vol. 1-3, No. 12, pp. 169-170.

Large texture storage using fractal image compression. Nikiel S. and Stachera J. – Proc. Int. Conf. Computer Vision and Graphics, Warsaw, Poland, 2004, CD-ROM.

Blue-print based modelling of architectural artifacts. Nikiel S. – Proc. Elektronische Bildverarbeitung & Kunst, Kultur, Historie, Berlin, 2003, pp. 189-192.

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Ass. Prof. Maciej Patan, Ph. D.

Scientific standing Optimal experimental design in spatio-temporal systems: sensor location

problem, optimization of observation strategies for scanning and movable sensors;

Distributed-parameter systems: optimization and identification of infinite dimensional systems, parameter estimation techniques in distributed systems;

Diagnostics of industrial processes: analytical techniques, parameter estimation-based approaches, optimization of diagnosis reliability;

Numerical methods for solving partial differential equations: finite and boundary element methods, integration techniques, computer modelling and simulation;

Parallel computing techniques: distributed and concurrent programming.

Teaching Mathematical Statistics, Numerical Analysis, Non-Linear Programming,

Advanced Programming Techniques, Introduction to Computer Science, Introduction to Artificial Intelligence.

Recent publications Optimal Observation Strategies for Parameter Estimation of Distributed

Systems. Patan M. – Lecture Notes in Control and Computer Science, University of Zielona Góra Press, 2004, Vol. 5, 220 p.

Discrimination between models of distributed parameter systems using T-optimum experimental design. Kuczewski B., Patan M. and Uciñski D. – In: Wyrzykowski R., Dongarra J., Paprzycki M. and Waœniewski J. (Eds.): Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science, Springer-Verlag, 2004, Vol. 3019, pp. 762-769.

Robust activation strategy of scanning sensors via sequential design in parameter estimation of distributed systems. Patan M. and Uciñski D. – In: Wyrzykowski R., Dongarra J., Paprzycki M. and Waœniewski J. (Eds.): Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science, Springer-Verlag, 2004, Vol. 3019, pp. 770-778.

Optimal sensor location for parameter estimation of distributed systems in the presence of correlated measurement errors. Patan M. and Uciñski D. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, Vol. 1, pp. 51-56.38

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Ass. Prof. Krzysztof Patan, Ph. D.

Scientific standing Artificial neural networks: modelling and identification of non-linear dynamic

processes, training algorithms and structure optimization, stability and stabilization of dynamic neural networks;

Global optimization: evolutionary search with soft selection, genetic algorithms and random search methods;

Stochastic approximation: Robinns-Monro and Kiefer-Wolfowitz procedures, simultaneous perturbation stochastic approximation;

Diagnostics of industrial processes: schemes based on residual generation, soft computing methods, applications;

Optimal experimental design: applications to system identification and the diagnostics of processes.

Teaching Artificial Neural Networks, Operating Systems, Operations Research.

Recent publications Identification of neural dynamic models for fault detection and isolation:

The case of a real sugar evaporation process. Patan K. and Parisini T. – J. of Process Control, 2005, Vol. 15, No. 1, pp. 67-79.

Training of the dynamic neural networks via contstrained optimisation. Patan K. – Proc. Int. Joint Conf. Neural Networks, IJCNN, Budapest, Hungary, July 25-29, 2004, CD-ROM.

Heuristic search for optimal architecture of a locally reccurent neural network. Obuchowicz A. and Patan K. – In: K³opotek M.A., Wierzchoñ S.T. and Trojanowski K. (Eds.): Advances in Soft Computing. Intelligent Information Processing and Web Mining, Springer-Verlag, 2003, pp. 285-292 .

Artificial neural networks in fault diagnosis. Patan K. and Korbicz J. – In: Korbicz J., Koœcielny J.M., Kowalczuk Z., and Cholewa W. (Eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 333-379.

Soft computing methods approaches to fault diagnosis for dynamic systems. Calado J.M.F., Korbicz J., Patan K., Patton R.J. and Sa da Costa J.M.G. – European Journal of Control, 2001, Vol. 7, No. 2-3, pp. 248-286.

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Ass. Prof. Piotr Steæ, Ph. D.

Scientific standing Computer graphics: image generation and modelling, application of formal

methods for shape generation, fractals in computer graphics, techniques for image generation, fractal color models and their applications to visualization and rendering, fractal-based image processing techniques, 3D graphics;

Image processing: image filtering, image analysis and segmentation, image compression;

Video processing: applications of MPEG standards, video compression, segmentation of video sequences, interactive multimedia services, motion analysis, object detection and tracking.

Teaching Computer Graphics, Virtual Environments, Multimedia, Object Programming,

Image Processing, 3D Modelling and Design.

Recent publications Fast two-step unassisted video segmentation technique evaluated

by tolerant ground truth. Steæ P. and Domañski M. – Proc. 5th Int. Workshop Image Analysis for Multimedia Interactive Services, Lisbon, Portugal, April 21-23, 2004, CD-ROM.

Efficient unassisted video segmentation using enhanced fast marching. Steæ P. and Domañski M. – Proc. IEEE Int. Conf. Image Processing, ICIP, Barcelona, Spain, Sept. 14-17, 2003, Vol. 2, pp. 427-430.

Two-step unassisted video segmentation using the fast marching method. Steæ P. and Domañski M. – Proc. 10th Int. Conf. Computer Analysis of Images and Patterns, CAIP, Groningen, Holland, Aug. 25-27, 2003, pp. 246-253.

Foreground-background separation in video sequences using fast marching methods. Steæ P. and Domañski M. – Proc. European Conf. Circuit Theory and Design, ECCTD, Cracow, Poland, Sept. 1-4, 2003, pp. 89-92.

Video segmentation using the fast marching method. Steæ P. and Domañski M. – Proc. Int. Conf. Computer Vision and Graphics, Zakopane, Poland, Sept. 25-29, 2002, pp. 710-715.

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Ass. Prof. Marcin Witczak, Ph. D.

Scientific standing Identification: linear and non-linear systems; neural networks, genetic

programming, search algorithms for optimal model structure;

Fault detection and isolation: model-based approaches, robust observers;

Experimental design: applications to system identification, model uncertainty evaluation;

Bounded-error approaches: state and parameter estimation of non-linear systems, applications to fault detection.

Teaching Advanced Programming Environments, Computer Algebra Systems, SCADA

Systems, System Analysis.

Recent publications Identification and fault detection of non-linear dynamic systems. Witczak M.

– Lecture Notes in Control and Computer Science, University of Zielona Góra Press, 2003, Vol. 1, 124 p.

A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem. Metenidis M.F., Witczak M. and Korbicz J. – Eng. App. Artificial Intelligence, 2004, Vol. 17, No. 4, pp. 363-370.

Observers and genetic programming in the identification and fault diagnosis of non-linear dynamic systems. Witczak M. and Korbicz J. – In: Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 457-509.

An experimental design strategy for neural networks and its application to fault detection of non-linear systems. Witczak M. and Prêtki P. – Proc. Int. Conf. Methods of Artificial Intelligence, AI METH, Gliwice, Poland, Nov. 17-19, 2004, pp. 159-160, CD-ROM.

Fault detection with observers and genetic programming: Application to the DAMADICS benchmark problem. Witczak M., Patton R.J. and Korbicz J. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 1203-1208.

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International journal publishing

The International Journal of Applied Mathematics and Computer Science, AMCS, strives to meet the demand for the presentation of interdisciplinary research concerned with applications of mathematical methods to computer science and engineering. The journal publishes high quality original research results in the following areas:

mathematical methods in computer science and engineering,

modern control theory and applications,

artificial intelligence techniques,

applied mathematics and mathematical optimization techniques.The International Journal of Applied Mathematics and Computer Science

is published jointly by the University of Zielona Góra and the Lubuskie Scientific Society in Zielona Góra, Poland. AMCS is published in four issues per year: two regular and two special issues prepared by an invited editor(s).

Editorial OfficeEditor-in-Chief: Prof. Józef KorbiczScientific Secretary: Prof. Dariusz UciñskiProduction Manager: Ms. Beata BukowiecMarketing Manager: Ms. Agata Wiœniewska-Kubicka

E-mail: [email protected]

Home page: http://www.issi.uz.zgora.pl/amcs/

Special issues printed in 2003 and 2004 Multidimensional Systems nD and Iterative Learning Control,

2003, Vol. 13, No. 1

Guest Editors:

Krzysztof Ga³kowski, University of Zielona Góra, Poland

Richard W. Longman, Columbia University, USA

Eric Rogers, University of Southampton, UK

Cancer Growth and Progression, Mathematical Problems and Computer Simulation, 2003, Vol. 13, No. 3

Guest Editors:

Marek Kimmel, Rice University, Houston, USA

Miros³aw Lachowicz, Warsaw University, Poland

Andrzej Œwierniak, Silesian University of Technology, Gliwice, Poland

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Evolutionary Computation, 2004, Vol. 14, No. 3

Guest Editors:

Carlos Cotta, University of Malaga, Spain

Robert Schaefer, Jagiellonian University, Cracow, Poland

Issues in Modelling, Optimization and Control, 2004, Vol. 14, No. 4

Guest Editors:

Adam Korytowski, AGH University of Science and Technology, Cracow, Poland

Wojciech Mitkowski, AGH University of Science and Technology, Cracow, Poland

Gwidon Szefer, Cracow University of Technology, Poland.

Editorial team

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Outstanding facts

D.Sc. (doctor habilitatis) degrees

Andrzej Obuchowicz Evolutionary algorithms for global optimization and dynamic system diagnosis

Examination: Wroc³aw University of Technology, Faculty of Electronics, May 19, 2004.

Andrzej Obuchowicz was born in Zielona Góra, Poland, in 1963. He received the M.Sc. degree in applied physics in 1987 at the Technical University of Wroc³aw. In 1992, he received the Ph.D. degree in physics at the same university. He received the D.Sc. degree in automatic control and robotics at the Technical University of Wroc³aw in 2004.

During the years 1988 and 1992, he was a Ph.D. student at the Institute of Physics of the Technical University of Wroc³aw. In 1992, he joined the newly established Institute of Robotics and Control Engineering of the Technical University of Zielona Góra. From 1999 till 2004, he was an assistant professor at the Institute of Control and Computation Engineering of the University of Zielona Góra, and has also been a head of the Systems Analysis and Intelligent Computation Division of this Institute. Since December 2004, he has been working as an associate professor.

He is the author or co-author of about 70 publications, including one monograph: Evolutionary Algorithms for Global Optimization and Dynamic System Diagnosis, one book, 15 journal papers and eight chapters in books.

His area of current research interests covers: evolutionary algorithms, stochastic methods of global optimization, artificial neural networks, fault diagnosis of industrial processes, applications of artificial intelligence techniques to medical diagnosis.

Andrzej ObuchowiczEvolutionary algorithms for global optimization

and dynamic system diagnosis

Examination: Faculty of Electronics, May 19, 2004.

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D.Sc. (doctor habilitatis) degrees

Andrzej Pieczyñski Knowledge representation in industrial processes diagnosis

Examination: University of Zielona Góra, Faculty of Electrical Engineering, Computer Science and Telecommunications, May 12, 2004.

Andrzej M. Pieczyñski was born in Strzelno, Poland, in 1953. He received the M.Sc. degree in electrical engineering in 1978 at the Higher College of Engineering, Zielona Góra. In 1985 he received the Ph.D. degree at the Technical University of Warsaw.

Between the years 1977 and 1986 he was a lecturer at the Institute of Automation and Metrology of the Higher College of Engineering, Zielona Góra. From 1986 to 1992, he was an assistant professor at the same Institute. In 1992, he joined the newly established Institute of Robotics and Control Engineering of the Technical University of Zielona Góra. From 1999 to 2000, he was a Finance and Administrative Manager at Advanced Digital Broadcast (ADB) Polska in Zielona Góra. From 2000 to 2004, he was an assistant professor at the Institute of Control and Computation Engineering of the University of Zielona Góra. Since December 2004, he has been an associate professor at the same Institute. Since September 2002, he has been a Deputy Dean of the Faculty of Electrical Engineering, Computer Science and Telecommunications of the University of Zielona Góra.

He is the author of two books: Computer Diagnostic Systems of Industrial Processes and Knowledge Representation in Diagnostic Expert Systems. He is also the author of nine journal papers and 50 papers published in conferences proceedings.

His area of current research interests covers: artificial neural networks, fuzzy systems, fuzzy neural networks, structure and parameter optimization of fuzzy models, knowledge discovery, fault detection and isolation: fuzzy modelling of processes, fuzzy fault classifiers, feature diagrams applications to diagnosis systems, power plant diagnosis systems.

Andrzej PieczyñskiKnowledge representation in industrial

processes diagnosis

Examination: Faculty of Electrical Engineering, Computer Science and Telecommunications, May 12, 2004.

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Ph. D. degrees Tomasz Hebisz: Methods of constructing ciphers which detect and correct

manipulations on cryptograms

Supervisor: Prof. Eugeniusz Kuriata

Defence: Wroc³aw University of Technology, Faculty of Electronics, May 12, 2004

Marek Kowal: Optimization of neuro-fuzzy structures in technical diagnostic systems

Supervisor: Prof. Józef Korbicz

Defence: University of Zielona Góra, Faculty of Electrical Engineering, Computer Science and Telecommunications, October 13, 2004.

Marcin Mrugalski: Neural network-based modelling of non-linear systems in fault detection schemes

Supervisor: Prof. Józef Korbicz

Defence: University of Zielona Góra, Faculty of Electrical Engineering, Computer Science and Telecommunications, February 18, 2004.

Maciej Patan: Optimal observation strategies for parameter estimation of distributed systems

Supervisor: Prof. Dariusz Uciñski

Defence: University of Zielona Góra, Faculty of Electrical Engineering, Computer Science and Telecommunications, January 21, 2004.

Piotr Steæ: Unsupervised segmentation of colour video sequences using the fast marching method

Supervisor: Prof. Marek Domañski

Defence: Poznañ University of Technology, Institute of Electronics and Telecommunications, September 27, 2004.

Awards Prof. Krzysztof Ga³kowski: Siemens Poland Award 2004 for research

activity in Development of Theory and Practical Applications of Multidimensional (nD) Systems and Repetitive Processes.

Prof. Krzysztof Ga³kowski: Gerhard Mercator Guest Professorship at the University of Wuppertal, Germany, in the academic year 2004/2005.

Prof. Józef Korbicz, Dr. Andrzej Janczak, Dr. Andrzej Marciniak, Dr. Andrzej Obuchowicz, Dr. Krzysztof Patan, Dr. Marcin Witczak: Scientific Award of the Minister of National Education and Sports, 2003, for the monograph Process Diagnostics. Methods of Artificial Intelligence, Applications. Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.). – Warsaw: Wydawnictwa Naukowo-Techniczne, WNT (in Polish).46

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Positions and nominations (selected)

Prof. Krzysztof Ga³kowski

Member of the Editorial Boards of the International Journal of Multidimensional Systems and Signal Processing and the International Journal of Applied Mathematics and Computer Science,

Member of the IEEE Automatic Control and Circuits and Systems Societies,

Member of the International Programme Committee of the IFAC Workshop Time-Delay Systems, INRIA, Rocquencourt, France, Sept. 8-10, 2003, and 16th International Symposium Mathematical Theory of Networks and Systems, MTNS, Katholieke Universiteit Leuven, Belgium, July 5-9, 2004.

Prof. Józef Korbicz

Vice-chairman of the Committee of Automatics and Robotics, Polish Academy of Sciences, Warsaw, 2003-2006,

Member of the Polish Team for Cooperation with the International Institute for Applied Analysis (IIASA) in Laxenburg, Austria, 2003-2006,

Senior member of the Institute of Electrical and Electronics Engineers, IEEE, since 2003,

Member of the Technical Commitee on Detection Supervision and Safety for Technical Processes, SAFEPROCESS, IFAC, since 1997,

Chairman of the International Programme Committee of the 6th IFAC Symposium SAFEPROCESS, Aug. 30 Sept. 1, 2006, Beijing, China,

Chairman of the Commission of Engineering Cybernetics, Poznañ Branch of the Polish Academy of Sciences, 2003-2006,

President of the Lubuskie Scientific Society, Zielona Góra, since 1991.

Prof. Dariusz Uciñski

Member of the Technical Committee on Distributed Parameter Systems, IEEE Control Systems Society, since 2003,

Member of the Commission of Engineering Cybernetics, Poznañ Branch of the Polish Academy of Sciences, 2003-2006,

Member of the Section of Measurement Instruments and Systems, Committee of Metrology and Scientific Equipment, Polish Academy of Sciences, 2003-2006.

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Research projects

International

Financed by the European Commission, 5th Framework Programme

Research Training Network on Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems, DAMADICS, 2000-2004Supervisor and task leader: Prof. Józef Korbicz, University of Zielona Góra, PolandCoordinator: Prof. Ronald J. Patton, University of Hull, UK

Financed by the University of Hong Kong

Synthesis Techniques for Multidimensional Dynamic Systems with Delay and Stochastic Effects, 2003-2004Coordinators: Prof. James Lam, University of Hong Kong, China Prof. Shenguan Xu, Nanjing University of Science and Technology, China, Prof. Krzysztof Ga³kowski, University of Zielona Góra, Poland.

Financed by EGIDE (French Leading Agency for International Mobility), France/Ministry of Scientific Research and Information Technology, Poland

Multidimensional systems, POLONIUM Programme: Theory and applications of multidimensional systems, time-delay systems and repetitive processes. Common research with INRIA, Sophia Antipolis, France, 2003-2004Coordinators: Dr. Konstantin Avratchenkov, INRIA, Sophia Antipolis, France, Prof. Krzysztof Ga³kowski, University of Zielona Góra, Poland.

Financed by the Mianowski Foundation

Guest professorship at the University of Zielona Góra for Prof. Michail Dymkov from the Belarussian Academy of Sciences, Institute of Mathematics, 6 months, 2003Coordinator: Prof. Krzysztof Ga³kowski, University of Zielona Góra, Poland.

Financed by the British Council, UK/State Committee for Scientific Research in Poland

Research training grant at the University of Southampton for Bart³omiej Sulikowski, 1 month, 2003Coordinator: Prof. Eric Rogers, University of Southampton, UK

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Bilateral project within the British-Polish Young Scientist Programme

Optimal observation strategies for parameter estimation of distributed systemsJoint research with the Queen Mary University of London, UK, 2003-2004Coordinators: Dr. Barbara Bogacka, Queen Mary University of London, UK Dr. Maciej Patan, University of Zielona Góra, Poland

Bilateral project within the British-Polish Research Partnership Programme

Optimum experimental design for multivariate nonlinear modelsJoint research with the Queen Mary University of London and the London School of Economics, UK, 2002-2004Coordinators: Dr. Barbara Bogacka, Queen Mary University of London, UK Prof. Dariusz Uciñski, University of Zielona Góra, Poland

National

Financed by the State Committee for Scientific Research in Poland

Repetitive processes and multidimensional systems (nD) – theory and applications, 2004-2005Supervisor: Prof. Krzysztof Ga³kowski

Modelling and identification of non-linear dynamic systems in robust diagnostics, 2003-2006Supervisor: Prof. Józef Korbicz

Parallel and distributed methods of optimum experimental design, 2004-2006Supervisor: Prof. Dariusz Uciñski

Optimum experimental design in parameter estimation of distributed systems, 2001-2003Supervisor: Prof. Dariusz Uciñski

Optimization of neuro-fuzzy network structures in diagnostic applications, 2002-2003 (Ph.D. grant)Supervisor: Prof. Józef Korbicz,Ph.D. student: Marek Kowal

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Neural network based modelling of non-linear systems in fault detection schemes, 2002-2003 (Ph.D. grant)Supervisor: Prof. Józef Korbicz,Ph.D. student: Marcin Mrugalski

Financed by the State Committee for Scientific Research in Poland but granted by the University of Zielona Góra, 2003-2004

Mathematical methods of systems analysis and synthesis: applicationsSupervisor: Prof. Krzysztof Ga³kowski

Methods of modern computer science in modelling and control engineeringSupervisor: Prof. Józef Korbicz

Intelligence computation methods and their applications in diagnosticsSupervisor: Prof. Józef Korbicz

Two-tank system

in a laboratory

AIBO robot

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Cooperation

International

Scientific Network on Multidimensional nD Systems and Repetitive Processes

Coordinators:

Prof. Krzysztof Ga³kowski, University of Zielona Góra, Poland

Prof. Eric Rogers, University of Southampton, UK

Prof. David Owens, University of Sheffield, UK

Dr. James Lam, University of Hong Kong, China

Prof. Michail Dymkov and Prof. Ivan Gaishun, Belarussian Academy of Sciences

Dr. Konstantin Avratchenkov, INRIA, Sophia Antipolis, France

Prof. Anton Kummert, University of Wuppertal, Germany

Results:Joint research results reported in a considerable amount of international journal articles, and international scientific conferences.Joint organization of scientific events:

Basu S., Reddy H., Lin Z. and Ga³kowski K., special session track: Multidimensional Circuits, Systems and Signal Processing, IEEE Int. Symp. Circuits and Systems, ISCAS, Bangkok, Thailand, May 26-28, 2003,

Ga³kowski K. and Rogers E., Minisymposium Multidimensional Systems, Int. Symp. Mathematical Theory of Network and Systems, MTNS, University of Leuven, Belgium, July 5-9, 2004,

Ga³kowski K. and Rogers E., Multidimensional Systems and Repetitive Processes, special session, 1st Int. Conf. Informatics in Control, Automation and Robotics, ICINCO, Setubal, Portugal, Aug. 23-29, 2004.Joint participation in research projects:

Synthesis Techniques for Multidimensional Dynamic Systems with Delay and Stochastic Effects, in cooperation with the Nanjing University of Science and Technology and the University of Hong Kong, China, 2003-2004.

Multidimensional Systems, POLONIUM, in cooperation with INRIA, Sophia Antipolis, France, 2003-2004

Gerhard Mercator Guest Professorship (funded by DFG) personal grant for Prof. Krzysztof Ga³kowski for the academic year 2004/2005.

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University of Hull, School of Engineering, Control and Intelligent Systems Research Group, UK

Subject: Fault detection and isolation (FDI)Coordinators: Prof. Józef Korbicz and Prof. Ronald J. PattonResults:

Joint realisation of the European RTN Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems, DAMADICS, 2000-2004, within the 5th Framework Programme. Other partners: Universitat Politécnica de Catalunya, Barcelona, Spain; TUHH-Technologie GmbH, Hamburg, Germany; Universita Degli Studi di Genova, Italy; Université des Sciences et Technologies de Lille, France; Instituto Superior Técnico, Lisbon, Portugal, and the Warsaw University of Technology, Poland,

Joint organization of an invited session: Patton R.J. and Korbicz J., DAMADICS, 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington DC, USA, June 9-11, 2003,

Research visits to the University of Hull by Dr. Marcin Witczak (3 months, 2003) and Dr. Marcin Mrugalski (4 months, 2004),

SOCRATES/Erasmus programme Student exchange: Sebastian Jermakowicz and Jerzy Stachera.

Queen Mary University of London, London School of Economics, UK

Subject: Optimum experimental design for multivariate non-linear modelsCoordinators:

Prof. Anthony C. Atkinson, Prof. Dariusz Uciñski and Dr. Barbara BogackaResults:

British-Polish Research Partnership Programme on Optimum experimental design for multivariate nonlinear models, supported by the British Council and the Polish State Committee for Scientific Research, 2002-2004,

Preparation of a Ph.D. thesis regarding the subject of the project:

Computational aspects of discrimination between rival models of dynamic systems

Supervisor: Prof. Dariusz Uciñski

Student: Bartosz Kuczewski.

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IBM cooperation

Cooperation with the IBM company was initiated in the midst of 2003. Since then the Institute has been a member of the IBM Scholars Program. The program is designed to provide researchers at higher education institutions worldwide with a wealth of academic and research offerings, resources and benefits from IBM. The IBM Scholars Program delivers a wide breadth of IBM software, hardware and technologies. IBM certified instructors are committed to provide the highest quality education available, and to deliver successful education programs that provide academic staff with skills necessary to make the teaching process succesfull and interesting for students using IBM software. The cooperation focuses mainly on two IBM products: the IBM WebSphere Studio Application Developer is used to design web applications, web services and Internet portals. The Eclipse Modelling Framework for UML 2.0 is a product which makes it possible to use the UML language to design complex systems like database management ones. The acquired knowledge is transferred to students during the following courses: Hypertext and Web Technologies, Advanced Web Technologies, Programming Modelling Techniques.

National

Scientific Network on Fault Diagnosis and Fault-Tolerant Control Systems

Coordinators:

Prof. Józef Korbicz, University of Zielona Góra,

Prof. Jan M. Koœcielny, Warsaw University of Technology,

Prof. Zdzis³aw Kowalczuk, Technical University of Gdañsk,

Prof. Wojciech Cholewa, Silesian University of Technology in Gliwice.Results:

Publication of the fundamental collective book Fault Diagnosis. Models, Artificial Intelligence, Applications. Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.), Springer-Verlag, 2004.

Joint organisation of the Polish Conferences Diagnostics of Industrial Processes, DPP, since 1996, the so-called Polish SAFEPROCESS. The conferences are organised every second year by the University of Zielona Góra, the Technical University of Gdañsk and the Warsaw University of Technology. DPP 2003, Sept. 15-17 W³adys³awo; DPP 2005, Sept. 12-14, Rajgród.

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Team awards of the Ministry of National Education and Sports in 2003 for the monograph Diagnostics of Processes. Models, Methods of Artificial Intelligence, Applications. Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.), Warsaw: Wydawnictwa Naukowo-Techniczne, WNT, 2002 (in Polish).

Joint realisation of the European RTN Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems, DAMADICS, 2000-2004, within the 5th Framework Programme. Polish members: University of Zielona Góra and the Warsaw University of Technology.

Professor J.M. Koœcielny from the Warsaw University of Technology (right)and Professor J. Korbicz (left)

Professor Y. Tan (middle) and Professor J. Korbicz (left) in a research laboratoryof the Guilin University of Electronic Technology, China54

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Visits to foreign universities

Visits to foreign universities in 2003-2004

Prof. Krzysztof Ga³kowski,

RWTH Aachen, Germany

University of Wuppertal, Germany

INRIA, Sophia Antipolis, France

Prof. Józef Korbicz

Tsinghua University, Beijing, China

Guilin University, China

Prof. Dariusz Uciñski

Queen Mary University of London, UK

London School of Economics, UK

Ass. Prof. Marcin Mrugalski and Ass. Prof. Marcin Witczak

University of Hull, UK

Ass. Prof. Piotr Steæ

Fachhochschule Giessen-Friedberg, Germany

Wojciech Paszke

INRIA, Sophia Antipolis, France

Bart³omiej Sulikowski

INRIA, Rocquencourt, France

University of Southampton, UK

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Foreign visitors to the Institute

Foreign visitors to the Institute in 2003-2004 Prof. Anthony C. Atkinson, London School of Economics, UK

Prof. Michail Dymkov, Belarussian Academy of Sciences, Institute of Mathematics, grant of the Mianowski Foundation (6 months)

Prof. Nikos Karampetakis, University of Thessaloniki, Greece, grant of the Ministry of Education and Sports (2 weeks)

Prof. Vyacheslav Maksimov, Ural Branch of the Russian Academy of Sciences, Institute of Mathematics, Ekaterinburg, Russia

Prof. Alban Quadrant, INRIA, Sophia Antipolis, France

Prof. Eric Rogers, University of Southampton, School of Electronics and Computer Science, UK

Prof. Axel Schumann-Luck, Fachhochschule Giessen-Friedberg, Germany

Dr. Marina Blizorukova, Ural Branch of the Russian Academy of Sciences, Institute of Mathematics, Ekaterinburg, Russia

Dr. Barbara Bogacka, Queen Mary University of London, UK

Employment of junior researchersIn the framework of the RTN on Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems, DAMADICS, within the 5th Framework Programme, the following junior researchers have been employed:

Eugen Arinton, Dunarea de Jos University of Galati, Romania, October 1, 2001-June 30, 2004, pre-doc position

Mihai Florin Metendis, Dunarea de Jos University of Galati, Romania, August 26, 2002-January 19, 2004, pre-doc position. He died suddenly in a car accident approximately 30 km from Zielona Góra

Dr. Arunas Lipnickas, Kaunas University of Technology, Lithuania, September 25, 2002-March 19, 2003, post-doc position

Stefan Spanache, Dunarea de Jos University of Galati, Romania, March 1, 2004-June 30, 2004, pre-doc position

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Organization of scientific meetings

6th National Conference on Evolutionary Algorithms and Global Optimisation, EAGO May 26-29, 2003, £agów LubuskiCoorganizers:

Institute of Control and Computation Engineering, University of Zielona Góra Warsaw University of TechnologyProgramme Committee Chairmen:

Prof. Krzysztof Malinowski, Warsaw University of Technology Prof. Józef Korbicz, University of Zielona GóraOrganizing Committee Chairmen:

Dr. Jaros³aw Arabas, Warsaw University of Technology Dr. Andrzej Obuchowicz, University of Zielona Góra

The 6th National Conference on Evolutionary Algorithms and Global Optimization was organized in £agów Lubuski, which is located 75 km to the North of Zielona Góra. This conference was a sequel of the previous conferences held in Murzasichle (1996), Rytro (1997), Potok Z³oty (1999), L¹dek (2000), Jastrzêbia Góra (2001), and the workshop in Cracow (2002). During this series of meetings, a strong group of reasearches interested in evolutionary computation and global optimization has been developed. During every meeting we enjoy a significant number of junior researchers coming to present their work. For some of them, this may be one of the first steps in their scientific career.

In £agów, 28 papers were accepted for publication and presentation after an anonymous peer review process. Most of them concerned various applications of evolutionary algorithms and global optimization techniques to mechanics, automatic control, operation research, fuzzy and neural systems, and other areas. Fundamental issues were discussed, including both theoretical and emprical analysis of sampling density in the search space, and a discussion of algorythmic techniques (Lamarckian vs. Darwinian evolution, optimization with multiple criteria). A group of papers focus on various aspects of parallel computing. Interval arithmetic, constraint logic programming, and molecular computing are also covered.

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5th Workshop of the FP5 Research Training Network DAMADICS on Integration of Qualitative/Quantitative Methods for Fault Diagnosis, April 5-7, 2004, £agów LubuskiOrganizing Committee Chairmen:

Prof. Józef Korbicz, University of Zielona Góra, Poland Prof. Ronald J. Patton, University of Hull, UK

The 5th DAMADICS Workshop on Integration of Qualitative/Quantitative Methods for Fault Diagnosis was organized in £agów Lubuski in a castle built by the Joannici order in the 14th century. The multi-disciplinary and complementary RTN DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems) was focused on the synthesis and development of methods, on-line diagnostic tools and algorithms for fault detection and isolation of industrial actuators. After a series of workshops and summer schools on different approaches to fault diagnosis of dynamical systems, the last workshop was devoted to the presentation of the results obtained by the partners using DAMADICS benchmarks. The workshop was focused on comparative analysis for the DAMADICS benchmark problem, using algorithms developed by each partner. Every project partner showed their results for fault scenerios considered in benchmark specifications. Presentations concerning soft computing and analytical approaches as well as their combinations and their application to the DAMADICS benchmark problem were delivered. For more information about the RTN DAMADICS, please visit the websites http://www.diag.mehtr.pw.edu.pl/damadics or http://www.eng.hull.ac.uk/research/control/damadics1.htm

International Workshop on Modern Control Systems, May 9, 2004, Zielona GóraOrganizer:

Prof. Krzysztof Ga³kowski, University of Zielona Góra, PolandProgramme:

Computation of minimal realizations for compartmental linear systems Prof. Tadeusz Kaczorek, Warsaw University of Technology

Mathematical foundations of quantum computations Prof. Jerzy Klamka, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

Theory and experiments in feedback control of microvibrations Prof. Eric Rogers, University of Southampton, UK

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Controllability and optimization for some classes of differential repetitive processesProf. Michail Dymkov, Belarussian Academy of Sciences, Prof. Eric Rogers, University of Southampton, UK, and Prof. Krzysztof Ga³kowski, Universityof Zielona Góra, Poland

Accuracy of gradient calculation in neural network Wiener modelswith the truncated back-propagation through time algorithmDr. Andrzej Janczak, University of Zielona Góra, Poland

Organizersof the EAGO conference

Participantsof the DAMADICS

workshop

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Seminars at the Institute

Chairmen: Prof. Krzysztof Ga³kowski and Prof. Roman GierelakSecretaries: Bart³omiej Sulikowski and Kamil Paw³owski

Summer semester seminars, 2003LMI based analysis of hybrid nD systems Jacek Bochniak, Ph.D. student, University of Zielona Góra, Poland

An adaptive request distribution algorithm for cluster-based web systems Krzysztof Zatwarnicki, M.Sc., Department of Electrical Engineering and Automatic Control, Technical University of Opole, Poland

Wireless networks in control Pawe³ Siewko, Ph.D. student, University of Zielona Góra, Poland

Truth and knowledge Prof. Adam Grobler, Institute of Philosophy, University of Zielona Góra, Poland

On application of the describing function method or optimization of feedback control systems Prof. Adam £ozowicki, Deptartment of Mechanics, Technical University of Koszalin, Poland

Parallel optimization algorithms and analysis of their efficiency; parallel distributed-memory systems Dr. Jan Sadecki, Faculty of Electrical Engineering and Automatic Control, Technical University of Opole, Poland

The method of key generation for universal stream ciphers Marek Jackiewicz, M.Sc., ICCE, University of Zielona Góra, Poland

Methods in text and image classification Dr. Khalid Saed, Technical University of Bia³ystok, Poland

Construction methods of cipher detection of manipulations on cryptograms Tomasz Hebisz, M.Sc., ICCE, University of Zielona Góra, Poland

Modelling and control of the process of generation of power transmitted to car wheels Jacek Korniak, M.Sc., Faculty of Electrical Engineering and Automatic Control, Technical University of Opole, Poland

An expert-neural system for inference about present and prognosed refractory lining state in the rotary kiln to calcining of clinker Grzegorz Siemi¹tkowski, M.Sc., Faculty of Electrical Engineering and Automatic Control, Technical University of Opole, Poland

Marvelous world of healthy and diseased human cells Dr. Roman Monczak, Hospital of Zielona Góra, Poland

Mathematical methods for repetitive process control Prof. Michail Dymkov, Institute of Mathematics, Academy of Sciences of Belarussia60

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Optimization of the neuro-fuzzy model structure Marek Kowal, M.Sc., ICCE, University of Zielona Góra, Poland

Neural network based modelling of nonlinear systems in fault detection schemes Marcin Mrugalski, M.Sc., ICCE, University of Zielona Góra, Poland

Winter semester seminars, 2003Discrete linear repetitive processes – LMI approach B³a¿ej Cichy, M.Sc., ICCE, University of Zielona Góra, Poland

Efficiency of evolutionary algorithms with a Levy mutate type Przemys³aw Prêtki, M.Sc., ICCE, University of Zielona Góra, Poland

Quantum future: quantum computers? Prof. Roman Gielerak, ICCE, University of Zielona Góra, Poland

Linear systems over Banach algebras Prof. Alban Quadrant, INRIA, Sophia Antipolis, France (joint seminar with the Intitute of Mathematics, University of Zielona Góra)

Quasigroup methods of cryptographic key generation Marek Jackiewicz, M.Sc., ICCE, University of Zielona Góra, Poland

Optimal observation strategies for the estimation of distribution systems Maciej Patan, M.Sc., ICCE, University of Zielona Góra, Poland

Accessibility to information in cryptographic systems Tomasz Hebisz, M.Sc., ICCE, University of Zielona Góra, Poland

Optimization of neuro-fuzzy network structures in technical diagnostic applications Marek Kowal, M.Sc., ICCE, University of Zielona Góra, Poland

Dynamical inverse problems for distributed systems Prof. V. I. Maksimov, Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences

Fault detection in dynamic systems based on probability density function parameter estimation Prof. Jurij Griszin, Deptament of Telecommunications and Electronic Apparatus, Bia³ystok Technical University, Poland

Neural network-based modelling of nonlinear systems in fault detection schemes Marcin Mrugalski, M.Sc., ICCE, University of Zielona Góra, Poland

Fractional derivative systems Dr. Tomasz Janiczek, Institute of Engineering Cybernetics, Wroc³aw University of Technology, Poland

Artificial neural networks in modelling real processes Eugen Arinton, M.Sc., ICCE, University of Zielona Góra, Poland

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Applying LMI methods to analysis and synthesis of 2D systems Wojciech Paszke, M.Sc., ICCE, University of Zielona Góra, Poland

T-optimum design for multiresponse dynamic heteroscedastic models Dr. Barbara Bogacka, Mathematical Research Centre, Queen Mary University of London, UK

Generalised controllability of discrete linear repetitive processes £ukasz H³adowski, M.Sc., ICCE, University of Zielona Góra, Poland

Ranking decision variants by their pairwise comparisons – selected problems Ewa van Uden, M.Sc., Faculty of Electrical and Control Engineering, Gdañsk University of Technology, Poland

T-optimum experimental design using semi-infinite programming Bartosz Kuczewski, M.Sc., ICCE, University of Zielona Góra, Poland

Summer semester seminars, 2004Recursive subdivision scheme for isosurface construction Dr. S³awomir Nikiel, ICCE, University of Zielona Góra, Poland

New challenges in spacecraft control: microvibration suppression and formation flying Prof. Eric Rogers, School of Electronics and Computer Science, University of Southampton, UK

Automatic segmentation of video sequences Piotr Steæ, M.Sc., ICCE, University of Zielona Góra, Poland

Evolutionary algorithm with alfa(α)-stable mutation Przemys³aw Prêtki, M.Sc., ICCE, University of Zielona Góra, Poland

Instrumentation system design for fault diagnosis. An analytical redundancy approach Stefan Spanache, M.Sc., Faculty of Naval and Electric Engineering, Dunarea de Jos University in Galati, Romania

Intelligent control of an integrated wastewater treatment system under full range of operating conditions Micha³ Grochowski, M.Sc., Deptartment of Control Engineering, Gdañsk University of Technology, Poland

Cryptographic methods of information accessibility fulfilling Tomasz Hebisz, M.Sc., ICCE, University of Zielona Góra, Poland

Modelling and performance evaluation of DES – a Max-Plus Algebra Toolbox for Matlab Dr. Jaros³aw Stañczyk, ICCE, University of Zielona Góra, Poland

Passive covert radar systems Dariusz Maksimiuk, M.Sc., Command Control System Division, NATO C3 Agency, the Hague, the Netherlands62

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LMI based stabilisation of some class of linear repetitive processes B³a¿ej Cichy, M.Sc., ICCE, University of Zielona Góra, Poland

Quantum tactics: some examples interesting from computational point of view Dr. Edward Piotrowski, Institute of Theoretical Physics, University of Bia³ystok, Poland

From Paleozoic to artificial neural network – the exploration geology in western Poland today Krzysztof Drop, M.Sc., Polish Oil and Gas Company, Zielona Góra, Poland

Application of neural networks in performance optimization of heating systems Krzysztof Bartecki, M.Sc., Department of Electrical Engineering and Automatic Control, Technical University of Opole, Poland

Optimization of neuro-fuzzy networks in technical diagnostic applications Marek Kowal, M.Sc., ICCE, University of Zielona Góra, Poland

Winter semester seminars, 2004Semantics of programming languages Marek Sawerwain, M.Sc., ICCE, University of Zielona Góra, Poland

Agent learning algorithms Agnieszka Pieczyñska-Kuchtiak, M.Sc., Faculty of Computer Science, Wroc³aw University of Technology, Poland

Cryptographic key generators Marek Jackiewicz, M.Sc., ICCE, University of Zielona Góra, Poland

Application of dynamic artificial neural networks for inflation indicator prediction Marcin Relich, M.Sc., Department of Fundamentals of Computer Science and Production Management, University of Zielona Góra, Poland

Isotropic mutation generated by alpha-stable distribution Przemys³aw Prêtki, M.Sc., ICCE, University of Zielona Góra, Poland

Programing of cluster systems Dr. Przemys³aw Jacewicz, ICCE, University of Zielona Góra, Poland

Analysis and synthesis of some class of multidimensional systems (nD) using LMI methods Wojciech Paszke, M.Sc., ICCE, University of Zielona Góra, Poland

Breast cancer diagnosis by fine needle aspiration biopsy Dr. Andrzej Marciniak, ICCE, University of Zielona Góra, Poland

Linear repetitive processes with the application to a physical example with time varying period discretization B³a¿ej Cichy, M.Sc., ICCE, University of Zielona Góra, Poland

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Quantum cryptographyKamil Paw³owski, M.Sc., ICCE, University of Zielona Góra, Poland

Relaxed pass profile controllability of discrete linear repetitive processes£ukasz H³adowski, M.Sc., ICCE, University of Zielona Góra, Poland

Computational aspects of discrimination between models of dynamic systemsBartosz Kuczewski, M.Sc. ICCE, University of Zielona Góra, Poland

Quantum telepathyProf. Roman Gielerak, ICCE, University of Zielona Góra, Poland

On possibilistic case-based reasoning for negotiation partner selectionJakub Brzostowski, M.Sc., School of Information Technology, Swinburne University of Technology, Australia

Our weekly seminars

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Publications

Books 1. Jacewicz P.: Model Analysis and Synthesis of Complex Physical Systems Using Cellular Automata. – Lecture Notes in Control and Computer Science, University of Zielona Góra Press, Vol. 4, 2003, 134 p.

2. Janczak A.: Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. A Block-Oriented Approach. – Lecture Notes in Control and Computer Science, Springer-Verlag, 2005, Vol. 310, 197 p.

3. Janczak A.: Identification of Wiener and Hammerstein Systems with Neural Network and Polynomial Models. Methods and Applications. University of Zielona Góra Press, 2003, 185 p.

4. Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications. – Springer-Verlag, 2004, 920 p.

5. Obuchowicz A.: Evolutionary Algorithms for Global Optimization and Dynamic System Diagnosis. – Zielona Góra: Lubuskie Scientific Society, 2003, 196 p.

6. Patan M.: Optimal Observation Strategies for Parameter Estimation of Distributed Systems. – Lecture Notes in Control and Computer Science, University of Zielona Góra Press, 2004, Vol. 5, 220 p.

7. Pieczyñski A.: Knowledge Representation in Industrial Processes Diagnosis. – Zielona Góra: Lubuskie Scientific Society, 2003, 198 p. (in Polish).

8. Uciñski D.: Optimal Measurement Methods for Distributed Parameter System Identification. – CRC Press, 2005, 371 p.

9. Witczak M.: Identification and Fault Detection of Non-linear Dynamic Systems. – Lecture Notes in Control and Computer Science, University of Zielona Góra Press, 2003, Vol. 1, 124 p.

Book chapters 1. Arinton E. and Korbicz J.: Dynamic high order neural networks: application for fault diagnosis. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, ICAISC, Springer-Verlag, 2004, Vol. 3070, pp. 145-150.

2. Cholewa W., Korbicz J., Moczulski W., Timofiejczuk A.: Methods of signal analysis. – In: Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications – Springer-Verlag, 2004, pp. 119-154.

3. Ga³kowski K.: Multidimensional systems, repetitive processes: theory, applications and future trends. – In: Saed K., Mosdorf R., Pejace J. and Hilmola O.P. (Eds.): Computer information systems and applications – Bia³ystok: University of Finance and Management, 2004, Vol. 2., pp. 23-33. 65

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4. Janczak A.: Training of neural network Wiener models with recursive prediction error algorithm. – In: Rutkowski L. and Kacprzyk J. (Eds): Advances in Soft Computing. Neural Networks and Soft Computing, Physica-Verlag, 2003, pp. 692-697.

5. Janczak A.: Parametric and neural network Wiener and Hammerstein models in fault detection and isolation. – In: Korbicz J., Koœcielny J. M., Kowalczuk Z. and Cholewa W. (Eds): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 381-410.

6. Korbicz J.: Designing of diagnosis computer systems. – In: ¯o³towski B. and Cempel Cz. (Eds.): Engineering of Machine Diagnosis, Polish Society of Technical Diagnostics, 2004, pp. 453-474.

7. Kuczewski B., Patan M. and Uciñski D.: Discrimination between models of distributed parameter systems using T-optimum experimental design. – In: Wyrzykowski R., Dongarra J., Paprzycki M. and Waœniewski J. (Eds.): Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science, Springer-Verlag, 2004, Vol. 3019, pp. 762-769.

8. Majdzik P., Polak M., Muszyñski W. and Banaszak Z.: An automatic synthesis of distributed control procedures in concurrent cyclic processes systems. In: Zaborowski M. (Eds.): Discrete Processes Automatization, Warsaw: WNT, Poland, 2004, pp. 255-265 (in Polish).

9. Marciniak A. and Korbicz J.: Pattern recognition approach to fault diagnostics. – In: Korbicz J., Koœcielny J. M., Kowalczuk Z. and Cholewa W. (Eds): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 557-590.

10. Mrugalski M., Arinton E. and Korbicz J.: Dynamic GMDH type neural networks. – In: Rutkowski L. and Kacprzyk J. (Eds.): Advances in Soft Computing: Int. Conf. Neural Networks and Soft Computing, Springer-Verlag, 2003, pp. 698-703.

11. Mrugalski M., Arinton E. and Korbicz J.: Systems identification with the GMDH neural networks: a multi-dimensional case. – In: Pearson D.W., Steel N.C. and Albrecht R.F. (Eds.): Computer Science: Int. Conf. Artificial Neural Networks and Genetic Algorithms, ICANNGA, Springer-Verlag, 2003, pp. 115-120.

12. Obuchowicz A. and Korbicz J.: Evolutionary methods in designing diagnostic systems. – In: Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 301-331.

13. Obuchowicz A. and Patan K.: Heuristic search for optimal architecture of a locally reccurent neural network. In: K³opotek M.A., Wierzchoñ S.T., Trojanowski K. (Eds): Advances in Soft Computing. Int. Conf. Intelligent Information Processing and Web Mining, Springer-Verlag, 2003, pp. 285-292.

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14. Patan K. and Korbicz J.: Artificial neural networks in fault diagnosis. In: Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 333-379.

15. Patan M. and Uciñski D.: Robust activation strategy of scanning sensors via sequential design in parameter estimation of distributed systems. – In: Wyrzykowski R., Dongarra J., Paprzycki M. and Waœniewski J. (Eds.), Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science, 2004, Vol. 3019, pp. 770-778.

16. Korbicz J., Metenidis M.F., Mrugalski M. and Witczak M.: Confidence estimation of GMDH neural networks. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, Springer-Verlag, 2004, Vol. 3070, pp. 210-216.

17. Pieczyñski A., Obuchowicz A.: Application of the general Gaussian membership function for the fuzzy model parameters tunning. – In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, Springer-Verlag, 2004, Vol. 3070, pp. 350-355.

18. Robak S., Pieczyñski A.: Application of fuzzy weighted feature diagrams to model variability in software families. - In: Rutkowski L., Siekmann J., Tadeusiewicz R. and Zadeh L.A. (Eds.): Lecture Notes in Artificial Intelligence, Int. Conf. Artificial Intelligence and Soft Computing, Springer-Verlag, 2004, Vol. 3070, pp. 370-375.

19. Uciñski D. and Bogacka B.: T-optimum designs for multiresponse dynamic heteroscedastic models. – In: Di Bucchianico A., Läuter H. and Wynn H. (Eds.): 7th Int. Workshop Model-Oriented Design and Analysis, Physica-Verlag, 2004, pp. 191-199.

20. Witczak M. and Korbicz J.: Observers and genetic programming in the identification and fault diagnosis of non-linear dynamic systems. – In: Korbicz J., Koœcielny J.M., Kowalczuk Z. and Cholewa W. (Eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, 2004, pp. 457-509.

Journal papers 1. Dymkov M., Gaishun I., Rogers E., Ga³kowski K. and Owens D. H.: Control theory for a class of 2D continous-discrete linear systems. – Int. J. of Control, 2004, Vol. 77, No. 9, pp. 847-860. 2. Dymkov M., Gaishun I., Rogers E., Ga³kowski K. and Owens D.H.: Z-transform and Volterra operator based approach to controllability and observability of a class of 2D linear systems. – Int. J. of Multidimensional Systems and Signal Processing, 2003, Vol. 14, pp. 365-395. 67

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3. Lam J., Xu S., Zou Y., Lin Z. and Ga³kowski K.: Robust output feedback stabilisation for two-dimensional continuous systems in Roesser form. – Applied Mathematics Letters, 2004, Vol. 17, Issue 12, pp. 1331-1341.

4. Ga³kowski K., Lam J., Rogers E., Xu S., Sulikowski B., Paszke W. and Owens D.H.: LMI based stability analysis and robust controller design for discrete linear repetitive processes – Int. J. of Robust and Nonlinear Control, 2003, Vol. 13, No. 13, pp. 1195-1211.

5. Ga³kowski K., Lam J., Xu S. and Lin Z.: LMI approach to state-feedback stabilisation of multidimensional systems. – Int. J. of Control, 2003, Vol. 76, No. 14, pp. 1428-1436.

6. Ga³kowski K., Lam.J., Xu S. and Lin Z.: LMI approach to stability analysis of three-dimensional systems. – Bulletin of the Polish Academy of Sciences: Technical Sciences, 2003, Vol. 51, No. 3, pp. 361-379.

7. Ga³kowski K., Paszke W., Rogers E., Xu S., Lam. J. and Owens D.H.: Stability and control of differential linear repetitive processes using an LMI setting. – IEEE Trans. on Circuits and Systems, II: Analog and Digital Signal Processing, 2003, Vol. 50, No. 9, pp. 662 666.

8. Ga³kowski K., Rogers E., Paszke W. and Owens D.H.: Linear repetitive process control theory applied to a physical example. – Int. J. of Applied Mathematics and Computer Science, 2003, Vol. 13, pp. 87-100.

9. Ga³kowski K., Sulikowski B. and Paszke W.: Multidimensional systems. Pomiary, Automatyka, Kontrola, 2003, No. 2-3, pp. 53 58 (in Polish).

10. Korbicz J., Witczak M. and Obuchowicz A.: State observers and genetic programming in identification and fault diagnosis systems. – Pomiary, Automatyka, Robotyka, 2003, Vol. 2-3, pp. 59-64 (in Polish).

11. Kuriata E. The problem of computer electromagnetic radiation and protection of information. – IT Security Magazine, 2004, No. 3, pp. 35-42.

12. Metenidis M.F., Witczak M. and Korbicz J.: A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem. – Eng. App. Artificial Intelligence, 2004, Vol. 17, No. 4, pp. 363-370.

13. Nikiel S. and Goiñski A.: A recursive subdivision scheme for isosurface construction. – Computers and Graphics, 2004, Vol. 29, No. 1, pp. 155-164.

14. Nikiel S. and Stachera J.: Fractal image compression for efficient texture mapping – J. of Workshop of Computer Graphics, Plzen, 2004, Vol 1-3, No. 12, pp. 169-170.

15. Nikiel S. and Goiñski A.: Generation of volumetric escape time fractals. – Computers and Graphics, 2003, Vol. 27, No. 6, pp. 977-982.

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16. Nikiel S. and Kupaj M.: Photogrammetry in computer based modelling of architecural objects. – Pomiary, Automatyka, Robotyka, 2004, Vol. 7-8, pp. 112-115 (in Polish).

17. Obuchowicz A.: Multidimensional mutations in evolutionary algorithms based on real-valued representation. – Int. J. of System Science, 2003, Vol. 34, No. 7, pp. 469-483.

18. Obuchowicz A.: Population in an evolutionary trap: simulation of natural exploration. – Bulletin of the Polish Academy of Sciences: Technical Sciences, 2003, Vol. 51, No. 1, pp. 51-104.

19. Obuchowicz A. and Prêtki P.: Phenotypic evolution with mutation based on symmetric α-stable distributions. – Int. J. of Applied Mathematics and Computer Science, 2004, Vol. 14, No. 3,pp. 289-316.

20. Paszke W., Ga³kowski K., Rogers E. and Owens D.: Guaranteed cost control of uncertain differential linear repetitive processes. – IEEE Trans. on Circuits and Systems – II: Express Briefs, 2004, Vol. 51, No. 11, pp. 629-634.

21. Paszke W., Lam J., Ga³kowski K., Xu S. and Lin Z.: Robust stability and stabilisation of 2D discrete state-delayed systems. – System and Control Letters, 2004. Vol. 51, pp. 277-291.

22. Patan K. and Korbicz J.: Neural networks in diagnostics of technological processes. – Przegl¹d Elektrotechniczny, 2004, No. 4, pp. 331 334.

23. Patan K. and Parisini T.: Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process. – J. of Process Control, 2005, Vol. 15, No. 1, pp. 67-79.

24. Pieczyñski A.: Adaptive controller with fuzzy knowledge representation. – Pomiary, Automatyka, Kontrola, No. 4, 2003, pp. 9-13 (in Polish).

25. Polak M., Majdzik p., Muszyñski W. and Banaszak Z.: The performance evaluation tool for automated prototyping of concurrent cyclic processes. – Fundamenta Informaticae, 2004, Vol. 60, No. 1-4, pp. 269-289.

26. Robak S., Pieczyñski A.: Employment of fuzzy logic in feature diagrams to model variability in software families. – J. of Integrated Design and Process Systems, 2003, Vol. 7, No. 3. pp. 79 94.

27. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.H.: Output feedback control of discrete linear repetitive processes. – Automatica, 2004, Vol. 40, No. 12, pp. 2167-2173.

28. Uciñski D. and Atkinson A.C.: Experimental design for time-dependent models with correlated observations. – Studies in Nonlinear Dynamics & Econometrics, 2004, Vol. 8, No. 2, Article 13, http://www.bepress.com/snde/vol8/iss2/art13

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29. Xu S., Lam.J., Lin Z., Ga³kowski K., Paszke W., Sulikowski B., Rogers E. and Owens D.H.: Positive real control of two-dimensional systems: Roesser models and linear repetitive processes. – Int. J. of Control, 2003, Vol. 76, No. 11, pp. 1047 1058.

Conferences 1. Ga³kowski K.: Multidimensional systems, repetitive processes: theory, applications and future trends. – Int. Multi-Conf. Advanced Computer Systems & Computer Information Systems and Industrial Management Applications, ACS-CISIM, Bia³ystok, Poland, June 14 16, 2004, Vol. 2, pp. 23-33, (invited talk).

2. Arinton E. and Korbicz J.: Combining a priori knowledge with neural networks. Applications for system identification and fault detection. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, pp. 885 890.

3. Arinton E. and Korbicz J.: Model-based fault detection using adaptive threshold. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 212-226.

4. Avrachenkov K.E. and Paszke W.: State-dependent delay system model for congestion control. – Proc. 1st. Int. Conf. Informatics in Control, Automation and Robotics, ICINCO, Setubal, Portugal, Aug. 25-28, 2004, Vol. 3, pp. 276-281.

5. Banaszak Z. Majdzik P. and Polak M.: Prototyping of admissible concurrent control procedures. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003. pp. 163-168 (in Polish).

6. Banaszak Z., Majdzik p., Muszyñski W. and Polak M.: Towards automation of distributed control prototyping – Part 1: Modelling. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, Vol. 2, pp. 843-848.

7. Banaszak Z., Polak M. and Majdzik P.: Towards concurrent processes prototyping – Proc. 26th IFAC/IFIP/IEEE Workshop Real-time Programming, WRTP, M. Colnaric, M. Adamski, M. Wêgrzyn (Eds.), Oxford: Elsevier, 2003, pp. 63-68.

8. Bochniak J., Ga³kowski K., Bachelier O., Mehdi D. and Kummert A.: State feedback stabilisation of discrete-time, linear, doubly switched systems – Proc. 49. Int. Wissenschaftliches Kolloquium Synergies Between Information Processing and Automation, Ilmenau, Germany, Sept. 27-30, 2004, Aachen: Shaker Verlag, Vol. 1, pp. 412-417.

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9. Calado J. M. F., Louro R., Mendes M.J.G.C, Sa da Costa J.M.G. and Kowal M.: Fault isolation based on HSFNN applied to DAMADICS benchmark problem. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 1053-1058.

10. Cichy B., Ga³kowski K., Gramacki A., Gramacki J. and Jank G.: Stability analysis and simulations of a class of continuous linear 2D systems – Proc. 1st. Int. Conf. Informatics in Control, Automation and Robotics, ICINCO, Setubal, Portugal, Aug. 25-28, 2004, Vol. 3, pp. 282-287.

11. Dymkov S., Rogers E., Dymkov M., Ga³kowski K. and Owens D. H.: Delay system approach to linear differential repetitive processes. – Proc. IFAC Workshop Time-Delay Systems, INRIA, Rocquencourt, France, Sept. 8-10, 2003, CD-ROM.

12. Ga³kowski K., Rogers E., Paszke W., Sulikowski B., Xu S., Lam J. and Owens D.H.: Stability and control of a physical class of 2D continuous-discrete linear systems using an LMI setting. – Proc. American Control Conference, ACC, Denver, USA, June 4-6, 2003, pp. 5058-5063.

13. Ga³kowski K.: State-space realizations, stability analysis and stabilization for discrete, linear, interval, 2-dimensional systems – Proc. 12th Mediterranean Conf. Control and Automation, MED, Kusadasi-Aydin, Turkey, June 6-9, 2004, CD-ROM.

14. Gramacki A., Gramacki J., Ga³kowski K., E. Rogers and Owens D.H.: Matlab-based toolbox for analysing differential repetitive processes. – Proc. 11th Mediterranean Conf. Control and Automation, Rhodos, Greece, June 18-20, 2003, CD-ROM.

15. Hebisz T., Kuriata E. and Jackiewicz M.: Fulfillment of computer security and safety by using symmetric-key block cryptosystem resistant to manipulations on ciphertext. – Proc. Conf. Computer Information Systems and Industrial Management Applications, CISIM, Bia³ystok, Poland, June 26-28, 2003, pp. 204-211.

16. Hebisz T. and Kuriata E.: Accessibility of information in realtime systems. – Proc. Conf. Computer Information Systems and Applications, Bia³ystok, Poland, June 14-16, 2004, Vol. 1, pp. 167 175.

17. Hebisz T. and Kuriata E.: The capacity of ciphers fulfilling the accessibility of cryptograms. – Proc. 10th Int. Multi-Conf. Advanced Computer Systems, ACS, Miêdzyzdroje, Poland, Oct. 22-24, 2003, CD-ROM.

18. H³adowski £., Ga³kowski K. and Rogers E.: Repetitive processes – a way towards modelling hybrid systems. – Proc. Conf. Computer Information Systems and Industrial Management Applications, CISIM, E³k, Poland, June 26-28, 2003, pp. 125-132.

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19. H³adowski £., Ga³kowski K., Rogers E. and Owens D.H.: Relaxed pass profile controllability of discrete linear repetitive processes – Proc. 49. Int. Wissenschaftliches Kolloquium Synergies Between Information Processing and Automation Systems, Ilmenau, Germany, Sept. 27-30, 2004, Aachen: Shaker Verlag, Vol. 1, pp. 399-404.

20. H³adowski £., Ga³kowski K., Rogers E. and Owens D.: Relaxed pass profile controllability of discrete linear repetitive processes. – Proc. Workshop Multimedia Communications and Services, MCS, Cracow, Poland, May 5-6,2004, pp. 37-42.

21. H³adowski £., Ga³kowski K. and Rogers E.: Discrete (Max,+)[Min,+] repetitive processes. – Proc. 4th Nat. Conf. Methods and Computer Systems, MSK, Cracow, Poland, Nov. 26-28, 2003, pp. 607-612.

22. Jackiewicz M. and Kuriata E.: Analysis of non-linear pseudo-noise sequences – Proc. 10th Int. Multi-Conf. Advanced Computer Systems ACS, Miêdzyzdroje, Poland, Oct. 22-24, 2003, CD-ROM.

23. Jackiewicz M., Kuriata E. and Hebisz T.: Safety of key generators – Proc. Conf. Computer Information Systems and Industrial Management Applications, CISIM, E³k, Poland, June 26-28, 2003, pp. 226-231.

24. Janczak A.: Instrumental variables approach to identification of polynomial Wiener systems. – Proc. European Control Conference, ECC, Cambridge, UK, Sept. 1-4, 2003, CD-ROM.

25. Janczak A.: Identification of Wiener systems using instrumental variables method. – Proc. 5th Nat. Conf. Knowledge Engineering and Expert Systems, Wroc³aw, Poland, June 11 13, 2003, Vol. 1, pp. 375-382 (in Polish).

26. Korbicz J.: Advances in fault diagnosis systems. – Proc. 10th IEEE Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30 Sept. 2, 2004, Vol. 2, pp. 725-734 (plenary talk).

27. Korbicz J.: New trends in processes diagnosis. – Proc. 3rd Int. Congress Technical Diagnostics, DIAGNOSTICS, Poznañ, Poland, Sept. 7-9, 2004, Diagnostyka, Vol. 30, No. 1, pp. 275-286 (plenary talk, in Polish).

28. Kowal M. and Korbicz J.: Self-organizing Takagi-Sugeno fuzzy model in fault detection system. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 253-258 (in Polish).

29. Kuczewski B., Patan M. and Uciñski D.: Optimal location of sensors in diagnosis of processes with spatio-temporal dynamics. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 213-218 (in Polish).

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30. Kuczewski B., Patan M. and Uciñski D.: Optimal sensor location in fault detection of distributed parameter systems. - Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 213-218 (in Polish).

31. Kuczewski B. and Uciñski D.: Optimal measurement policies for discrimination between models of dynamic systems. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, Vol. 2, pp. 1239-1244.

32. Kuczewski B.: Discrimination between several multiresponse dynamic models using T-optimum experimental designs. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, Vol. 1, pp. 619-624.

33. Kuriata E. and Paw³owski K.: Registration to PKI servers. – Proc. 10th Int. Multi-Conf. Advanced Computer Systems, ACS, Miêdzyzdroje, Poland, Oct. 22-24, 2003, CD-ROM.

34. Lipnickas A. and Korbicz J.: Evolutionary learning in identification of fuzzy models. Application to DAMADICS benchmark. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 247-252.

35. Metenidis M.F. and Korbicz J.: Genetic programming approach to model design. An application to the DAMADICS benchmark. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 235-240.

36. Majdzik P., Polak M., Banaszak Z. Wójcik R.: An automatic synthesis of distributed control procedure for systems of concurrent cyclic processes. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30 Sept. 2, 2004, pp. 1189-1194.

37. Majdzik P., Wójcik R. and Banaszak Z.: An automatic synthesis of performance models for systems of concurrent cyclic processes. – Proc. 15th Int. Conf. System Science, Wroc³aw, Poland, Sept. 7-10, 2004, pp. 281-292.

38. Marciniak A., Bocaniala C.D., Louro J., Sa da costa J.M.G. and Korbicz J.: Pattern recognition approach to fault diagnosis in the DAMADICS benchmark flow control valve – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 957-962.

39. Marciniak A., Monczak R., Ko³odziñski M., Prêtki P. and Obuchowicz A.: Test benchmark for breast cancer diagnosis using fine needle biopsy. – Proc. Nat. Conf. Artificial Intelligence in Biomedical Engineering, SIIB, Cracow, Oct. 19, 2004, CD-ROM.

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40. Mehdi D., Bachelier O. and Ga³kowski K.: State feedback stabilization of a class of discrete-time, linear, time variant systems – Proc. Int. Conf. Mathematical Theory of Networks and Systems, MTNS, Katholieke Universiteit Leuven, Belgium, July 5-9, 2004, CD-ROM.

41. Mehdi D., Bachelier O., Ga³kowski K. and Rogers E.: State feedback stabilization of discrete linear repetitive processes with switched dynamics. – Proc. Int. Conf. Mathematical Theory of Networks and Systems, MTNS, Katholieke Universiteit Leuven, Belgium, July 5-9, 2004, CD-ROM.

42. Metenidis M.F. and Korbicz J.: A novel genetic programming approach to nonlinear system modelling. – Proc. Int. Symp. Methods of Artificial Intelligence, AI-METH, Gliwice, Poland, Nov. 5 7, 2003, pp. 183-186.

43. Metenidis M.F. and Obuchowicz A.: Evolutionary approach to nonlinear systems modelling. – Proc. 6th Nat. Conf. Evolutionary Algorithms and Global Optimization, KAEiOG, £agów Lubuski, Poland, May 26-29, 2003, pp. 149-156.

44. Mrugalski M. and Korbicz J.: Selection of the neural model structure for the fault detection of dynamic systems schemes. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 275-280 (in Polish).

45. Mrugalski M., Arinton E. and Korbicz J.: Fault detection with dynamic GMDH neural networks. Application to the DAMADICS benchmark problem. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington DC, USA, June 9-11, 2003, pp. 1071-1076.

46. Muszyñski W., Majdzik P., Polak M., Banaszak Z.: Towards automation of distributed control prototyping – Part 2: Performance evaluation. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003. Vol. 2, pp. 849-854.

47. Nikiel S. and Stachera J.: Large texture storage using fractal image compression. – Proc. Int. Conf. Computer Vision and Graphics, ICCVG, Warsaw, Poland, Sept. 22-24, 2004, CD-ROM.

48. Nikiel S.: Blue-print based modelling of architectural artifacts. – Proc. Conf. Elektronische Bildverarbeitung & Kunst, Kultur, Historie, EVA, Berlin, Germany, Sept. 15-18, 2003, pp. 189-192.

49. Nikiel S.: Creating virtual reconstructions with the environmental context. – Proc. Conf. Elektronische Bildverarbeitung & Kunst, Kultur, Historie, EVA, Berlin, Germany, Nov. 10-12, 2004, pp. 47-49.

50. Obuchowicz A. and Prêtki P.: Analysis of phenotypic evolution with symmetric α-stable mutation. – Proc. 7th Nat. Conf. Evolutionary Algorithms and Global Optimization, KAEiOG, Kazimierz Dolny, Poland, May 24-26, 2004, pp. 123-133.74

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51. Obuchowicz A. and Prêtki P.: Evolutionary algorithms with α-stable mutation. – Proc. IEEE 4th Int. Conf. Intelligent System Design and Application, ISDA, Budapest, Hungary, Aug. 26-28, 2004, CD-ROM.

52. Paszke W., Ga³kowski K., Lam J., Xu S., Rogers E. and Owens D.H.: Stability and stabilisation of 2D discrete linear systems with multiple delays. – Proc. IEEE Int. Symp. Circuits and Systems, ISCAS, Bangkok, Thailand, May 26-28, 2003, Vol. 3, pp. 670-673.

53. Paszke W., Ga³kowski K., Rogers E. and Owens D.: H∞ control of differential linear repetitive processes – Proc. American Control Conference, ACC, Boston, Massachusetts, USA, June 30-July 2, 2004, CD-ROM.

54. Paszke W., Ga³kowski K., Rogers E. and Owens D.H.: H∞ control of discrete linear repetitive processes. – Proc. 42nd IEEE Conf. Decision and Control, CDC, Maui, USA, Dec. 9-12, 2003, CD-ROM.

55. Paszke W., Ga³kowski K., Rogers E. and Owens D.H.: Robust stabilisation of discrete linear repetitive processes with application to a physical example. – Proc. 11th Mediterranean Conf. Control and Automation, MED, Rhodos, Greece, June 18-20, 2003, CD ROM.

56. Paszke W., Lam. J., Ga³kowski K., Xu S. and Rogers E.: H∞ control of 2D Linear State-Delayed Systems. – Proc. IFAC Workshop Time Delay Systems, INRIA, Rocquencourt, France, Sept. 8-10, 2003, CD-ROM.

57. Patan K. and Korbicz J.: Stabilization of dynamic neural networks. Application to the sugar actuator fault diagnosis. – Proc. Colloque Annuel IAR Jahrestagung and ACD Workshop, Karlsruhe, Germany, Nov. 17-18, 2004, pp. 160-165.

58. Patan K. and Parisini T.: Dynamic neural networks for actuator fault diagnosis: Application to the DAMADICS benchmark problem. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington, USA, June 9-11, 2003, pp. 1077-1082.

59. Patan K.: Model-based actuator fault diagnosis using dynamic neural networks. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, pp. 743-748.

60. Patan K.: Sugar actuator fault diagnosis using artificial neural networks. – Proc. Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 281-286 (in Polish).

61. Patan K.: Training of the dynamic neural networks via contstrained optimisation. – Proc. Int. Joint Conference Neural Networks, IJCNN, Budapest, Hungary, July 25-29, 2004, CD-ROM.

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62. Patan K: Second-order stochastic approximation for dynamic neural network training. Fault diagnosis study. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, pp. 1383-1388.

63. Patan M. and Patan K.: Calibration of diagnostics models for a two tank system using optimal experiment design. – Proc. Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 189-194 (in Polish).

64. Patan M. and Uciñski D.: Optimal strategies of scanning sensors for parameter estimation of distributed systems. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, Vol. 1, pp. 115-120.

65. Patan M. and Uciñski D.: Optimal sensor location for parameter estimation of distributed systems in the presence of correlated measurement errors. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, Vol. 1, pp. 51-56.

66. Patan M., Uciñski D. and Patan K.: Optimum experimental design for fault detection in distributed systems. – Proc. Colloque Annuel IAR Jahrestagung and ACD Workshop, Karlsruhe, Germany, Nov. 17-18, 2004, pp. 136-141.

67. Pieczyñski A., Robak S. and Walaszek-Babiszewska A.: Features with fuzzy probability. – Proc. 11th IEEE Int. Conf. and Workshop Engineering of Computer-Based Systems, ECBS, Brno, Czech Republic, May 26-27, 2004, pp. 323-328.

68. Pieczyñski A.: Fuzzy modelling of the industrial object discontinuous characteristics. – Proc. 6th Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 259-264 (in Polish).

69. Pieczyñski A.: Fuzzy modelling of the industrial object non-linear characteristics. – Proc. 5th Nat. Conf. Knowledge Engineering and Expert Systems, Wroc³aw, Poland, June 11-12, Vol. 1, pp. 420-427.

70. Polak M., Majdzik P. and Banaszak Z.: Decision support for distributed control of concurrent production flow. – Proc. 11th Int. Conf. Systems Integration, Prague, Czech Republic, June 16-17, 2003, pp. 461-468.

71. Polak M., Majdzik P., Wójcik R. and Banaszak Z.: The performance evaluation tool for automated prototyping of cyclic concurrent processes systems. – Proc. Workshop Concurrency Specification and Programming, CS&P, Czarna, Poland, Sept. 25-27, 2003, Vol. 2, pp. 422-432.

72. Polak M., Muszyñski W., Majdzik P. and Banaszak Z.: Max-plus algebra approach to concurrent systems coupling. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, pp. 1195 1200.

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73. Polak M., Wójcik R., Majdzik p. and Banaszak Z.: Prototyping of distributed control procedures in concurrent cyclic processes systems. – Proc. IEEE Conf. Emering Technologies and Factory Automation, EFTA, Lisbon, Portugal, Sept. 16-19, 2003, Vol. 2, pp. 261-268.

74. Robak S. and Pieczyñski A.: Employing fuzzy logic in feature diagrams to model variability in software product-lines. – Proc. 10th IEEE Int. Conf. and Workshop Engineering of Computer-Based Systems, ECBS, Huntsville, Alabama, USA, April 7-10, 2003, pp. 305-311.

75. Stañczyk J. and Obuchowicz A.: The max-plus algebra approach to prototyping systems modelling. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, pp. 857-862.

76. Steæ P. and Domañski M.: Efficient unassisted video segmentation using enhanced fast marching. – Proc. IEEE Int. Conf. Image Processing, ICIP, Barcelona, Spain, Sept. 14-17, 2003, Vol. 2, pp. 427-430.

77. Steæ P. and Domañski M.: Fast two-step unassisted video segmentation technique evaluated by tolerant ground truth. – Proc. 5th Int. Workshop Image Analysis for Multimedia Interactive Services, Lisbon, Portugal, April 21-23, 2004, CD-ROM.

78. Steæ P. and Domañski M.: Foreground-background separation in video sequences using fast marching methods. – Proc. European Conf. Circuit Theory and Design, ECCTD, Cracow, Poland, Sept. 1-4, 2003, pp. 89-92.

79. Steæ P. and Domañski M.: Two-step unassisted video segmentation using fast marching method. – Proc. 10th Int. Conf. Computer Analysis of Images and Patterns, CAIP, Groningen, Holland, Aug. 25-27, 2003, pp. 246-253.

80. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.: LMI based output feedback control of discrete linear repetitive processes. – Proc. American Control Conference, ACC, Boston, USA, June 30 July 2, 2004, CD-ROM.

81. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.: Proportional plus integral control for a class of 2D systems. – Proc. 10th IEEE Conf. Methods and Models in Automation and Robotics, MMAR, Aug. 30-Sept. 2, 2004, Miêdzyzdroje, Poland, pp. 335-340.

82. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.H.: Control of discrete linear repetitive processes with application to a metal rolling process. – Proc. European Control Conference, ECC, Cambridge, UK, Sept. 1-4, 2003, CD-ROM.

83. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.H.: Feedforward/feedback control of discrete linear repetitive processes with disturbances applied to a material rolling process. – Proc. IEEE Conf. Control Applications, CCA, Istanbul, Turkey, June 23-25, 2003, CD-ROM. 77

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84. Sulikowski B., Ga³kowski K., Rogers E. and Owens D.H.: Further results on output feedback control of discrete linear repetitive processes. – Proc. 1st. Int. Conf. Informatics in Control, Automation and Robotics, ICINCO, Setubal, Portugal, Aug. 25-28, 2004, Vol. 3, pp. 264-269.

85. Uciñski D. and Demetriou M.: An approach to the optimal scanning measurement problem using optimum experimental design. – Proc. American Control Conference, ACC, Boston, Massachusetts, USA, June 30 July 2, 2004, CD-ROM.

86. Uciñski D.: Determination of optimum measurement efforts for parameter estimation of distributed systems. – Proc. 16th Int. Symp. Mathematical Theory of Networks and Systems, MTNS, Leuven, Belgium, July 5-9, 2004, CD-ROM.

87. Uciñski D.: On optimum experimental design in technical diagnostics of processes. – Proc. 6th Nat. Conf. Technical Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 15-17, 2003, pp. 207-212 (in Polish).

88. Uciñski D.: On the determination of moving sensor policies for parameter estimation of distributed systems. – Proc. 11th Mediterranean Conf. Control and Automation, MED, Rhodes, Greece, June 18-20, 2003, CD-ROM.

89. Uppal F.J., Patton R.J. and Witczak M.: A hybrid neuro-fuzzy and de-coupling approach applied to the DAMADICS benchmark problem. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington DC, USA, June 9-11, 2003, pp. 1059-1064.

90. Witczak M. and Mrugalski M.: Designing GMDH neural networks with the bounded-error approach. Application to robust fault detection. – Proc. 9th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 25-28, 2003, pp. 1377-1382.

91. Witczak M., Mrugalski M. and Korbicz J.: A bounded-error approach to confidence estimation of neural networks. Application to robust fault detection. – Proc. 12th Mediterranean Conference Control and Automation, MED, Kusadasi, Aydin, Turkey, June 6-9, 2004, CD-ROM.

92. Witczak M. and Prêtki P.: An experimental design strategy for neural networks and its application to fault detection of non-linear systems. – Proc. Int. Conf. Methods of Artificial Intelligence, AI METH, Gliwice, Poland, Nov. 17-19, 2004, pp. 159-160, CD-ROM.

93. Witczak M. and Korbicz J.: Designing model-based fault detection systems with D-optimum experimental conditions. – Proc. Colloque Annuel IAR Jahrestagung and ACD Workshop, Karlsruhe, Germany, Nov. 17-18, 2004, pp. 274-280.

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94. Witczak M.: Locally D-optimum sequential experimental design for neural networks: application to robust fault detection. – Proc. 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004, pp. 1377-1382.

95. Witczak M., Patton R.J. and Korbicz J.: Fault detection with observers and genetic programming: Application to the DAMADICS benchmark problem. – Proc. 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS, Washington DC, USA, June 9-11, 2003, pp. 1203-1208.

96. Witczak M.: Observers and genetic programming in fault detection of a valve actuator. – Proc. Nat. Conf. Diagnostics of Industrial Processes, DPP, W³adys³awowo, Poland, Sept. 17-19, 2003, pp. 127-132 (in Polish).

Patents 1. Kuriata E.: Method of message decryption. Patent no. 326897. Date of submission: June 17, 1998. Date of acceptance: Jan. 27, 2004.

2. Kuriata E.: Method of message encryption and decryption. Patent no. 326900. Date of submission: June 17, 1998. Date of acceptance: Feb. 25, 2004.

3. Kuriata E.: Method of message encryption and decryption with one time key. Patent no. 327250. Date of submission: July 2, 1998. Date of acceptance: Feb. 23, 2004.

4. Kuriata E.: Method of message encryption and decryption with one time key. Patent no.: 327249. Date of submission: Feb. 02, 1998. Date of acceptance: Feb. 23, 2004.

5. Kuriata E.: Method of message encryption. Patent no. 325315. Date of submission: March 11, 1998. Date of acceptance: June 29, 2004.

6. Kuriata E.: Method of making of cryptografic keys. Patent no. 325317. Date of submission: March 11, 1998. Date of acceptance: June 28, 2004.

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7. Kuriata E.: Device for message encryption and decryption with one time key. Patent no. 327248. Date of submission: July 02, 1998. Date of acceptance: Jan. 12, 2004.

8. Kuriata E.: Device for message encryption and decryption with one time key. Patent no. 327251. Date of submission: July 02, 1998. Date of acceptance: Jan. 12, 2004.

9. Kuriata E.: Device for message encryption. Patent no. 325314. Date of submission: March 11, 1998. Date of acceptance: June 25, 2004.

10. Kuriata E.: Device for making cryptographic keys. Patent no. 325316. Date of submission: March 11, 1998. Date of acceptance: June 24, 2004.

11. Kuriata E.: Method of data encryption. Patent no. 326898. Date of submission: June 17, 1998. Date of acceptance: Nov. 26, 2003.

12. Kuriata E.: Device for message encryption and decryption. Patent no. 326899. Date of submission: June 17, 1998. Date of acceptance: Dec. 18, 2003.

Proceedings, special issues of journals, invited sessions at conferences 1. Arabas J. and Obuchowicz A. (Eds.): Proc. 6th Nat. Conf. Evolutionary Algorithms and Global Optimization, KAEiOG. –University of Zielona Góra Press, 2003.

2. Ga³kowski K. and Vinnikov V (Eds.): Int. J. of Control: Special Issue on Multidimensional Control Systems: Theory with a View to Applications, 2004, Vol. 77, No. 9.

3. Ga³kowski K., Rogers E. and Longman R. (Eds.): Int. J. of Applied Mathematics and Computer Science: Special Issue on Multidimensional Systems nD and Iterative Learning Control, 2003, Vol. 13., No. 1.

4. Korbicz J. and Quevedo J.: Fusion of analytical and soft computing methods in fault diagnosis. – Invited session at the 16th IFAC World Congress, Prague, Czech Republic, July 4-8, 2005.

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5. Ga³kowski K: Multidimensional systems in control and telecommunications. – Invited session at the 16th IFAC World Congress, Prague, Czech Republic, July 4-8, 2005.

6. Korbicz J. and Witczak M.: Robust and non-linear techniques in fault diagnosis. – Invited session at the 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30-Sept. 2, 2004.

7. Patan K. and Simani S: Soft computing methods in FDI. – Invited session at the 10th IEEE Int. Conf. Methods and Models in Automation and Robotics, MMAR, Miêdzyzdroje, Poland, Aug. 30 Sept. 2, 2004.

8. Patton R.J. and Korbicz J.: DAMADICS. – Invited session at the 5th IFAC Symp. Fault Detection, Supervision and Safety of Technical Proceses, SAFEPROCESS, Washington DC, USA, 2003.

9. Basu S., Reddy H., Lin Z. and Ga³kowski K.: Multidimensional circuits, systems and signal processing. – Special session track at the IEEE Int. Symp. Circuits and Systems, ISCAS, Bangkok, Thailand, May 26-28, 2003.

10. Ga³kowski K. and Rogers E.: Minisymposium on Multidimensional Systems. – Int. Symp. Mathematical Theory of Network and Systems, MTNS, Leuven, Belgium, July 5-9, 2004.

City of Zielona Góra (left) and University Campus A (right) 81

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CMYK - issi.uz.zgora.pl · CMYK Computer Science, 512 students of Electrical Engineering and 324 students of Electronics and Telecommunications. The Institute of Control and Computation