JOINT PROGRAM

11th WSEAS CSCC Multiconference

PROGRAM

11th WSEAS International Conference on CIRCUITS

Agios Nikolaos, Crete Island, Greece, July 23-25, 2007

Monday, July 23 2007

PLENARY LECTURE 1

A New Look at Convexity, Duality, and Optimization

Professor Dimitri P. Bertsekas
McAfee Professor of Engineering

Massachusetts Institute of Technology

77 Massachusetts Ave.

Lab. for Information and Decision Systems

Rm 32-660D

Cambridge, MA 02139

Email: dimitrib@mit.edu

http://web.mit.edu/dimitrib/www/home.html

Abstract: This talk will review a recent book treatment of convex analysis and optimization. While the subject of the book is classical, the treatment of several of its important topics is new and in some cases relies on new research. The new lines of analysis include:
(a) A unified framework for minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. Within this framework, the fundamental constraint qualifications needed for strong duality and existence of saddle points are quite apparent, and admit straightforward proofs.
(b) A unification of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. This unification is based on conditions guaranteeing that a nested family of closed convex sets has a nonempty intersection.
(c) A unification of the major constraint qualifications that guarantee the existence of Lagrange multipliers for nonconvex constrained optimization. This unification is achieved through the notion of constraint pseudonormality, which is motivated by an enhanced form of the Fritz John necessary optimality conditions.
(d) The development of incremental subgradient methods for dual optimization, and the analysis of their advantages over classical subgradient methods.

PLENARY LECTURE 2

Key Technologies in Next Generation Optical Networks

Professor Leonid Kazovsky

Photonic & Networking Research Laboratory (PNRL)

Stanford University, USA

kazovsky@stanford.edu

Abstract: Due to advances in photonics technologies and worldwide deployment of optical fibers, optical core transport networks have experienced an extraordinary increase of transmission capacity during the last decade. As long-haul optical networks and technologies were successfully deployed for inter- and cross-continental links, access networks and, to a lesser extent, metro networks emerge as the main challenge in terms of capacity, service and cost. New technologies need to be addressed for next generation optical networks include:

• Passive optical access networks evolving from TDM to WDM;

• Convergence of optical and wireless technologies;

• Efficient and transparent connectivity across access, metro and backbone networks;

• Burst-mode transmission underlying the aforementioned technologies.

This talk will discuss the opportunities and challenges in next generation optical networks, and present research results and future research directions in network architecture, routing algorithms and key enabling technologies.

PLENARY LECTURE 3

Numerical and Parametrical Optimisation for the Simulation of a

Turbulent Combustion Phenomenon in a Well-Stirred Reactor in Steady

State Conditions

Professor Vincenzo Niola

Department of Mechanical Engineering for Energetic

University of Naples “Federico II”

ITALY

E-mail: vincenzo.niola@unina.it

Abstract: Actually, the aggregated energy demand is growing up very quickly. To solve the global energetic problem, we have to rationalise all sources not only optimising processes, but also trying to use all possible renewal combustibles. Adjective renewal means available, not necessarily abundant, however capable of burning with low pollutant emissions. In this work we focused our attention to find a way to optimise a particular combustion process with liquid fuel; therefore, an hypothetical success would give a considerable contribute about disposing of waste. Preliminarily, we predispose an analysis CFD kind, using it like a powerful support to experimental techniques to investigate and to improve combustion efficiency (especially for turbulence combustion) and to explore some possible applications. In particular, we prepare a code to model the whole process, try to solve the mixing process of reactants for given inlet conditions settings, introducing some peculiar tools to represent the diffusion phenomena in a correct way. So interactions between combustible and air will be simulated and analyzed to make it repeatable successively also in an experimental context; logical purpose is to find out the best relationship of fluid dynamic parameters, such as inlet injection velocity, air exceed, temperature, pressure. A special attention will be paid to numerical stability to define the measure of quality level of combustive process. Initially, simulation will be managed according to a RANS approach, therefore the results will be used to examine carefully the problem with a LES one. This second way is more complex and, as well known, it’s more computational expansive, but, on the other side, it assures more reliability to results. This research aims to investigate the way to dispose of exhaust oils at a low price, according to environmental requirements, recovering energy. Otherwise this could be useful in the same way. In fact, disposing of exhaust oils is a problem, so burning them could become alternative way to rid of exhaust oils respecting environmental prescription. Last, in a context of energetic crisis it could be necessary to use exhaust oils (and equally other renewal sources) to recovery energy.

PLENARY LECTURE 4

Study of controllability of two-order singular systems under an

algebraic point of view

Professor M. Isabel Garcia-Planas

Departament de Matematica Aplicada I

Universitat Politecnica de Catalunya

C. Mineria 1, Esc C, 1o-3a

08038 Barcelona, Spain

E-mail: maria.isabel.garcia@upc.edu 

PLENARY LECTURΕ 5

ROOM A

Professor Le Yi Wang

Department of Electrical and Computer Engineering

Wayne State University

Detroit, Michigan 48202

USA

Email: lywang@indigo.eng.wayne.edu

Abstract: Binary-valued or quantized sensors are employed in many practical systems. Typical examples include switching sensors for exhaust gas oxygen, traffic condition indicators in the ATM (asynchronous transmission mode), neural networks. More important, the new paradigm of sensor networks, networked systems and control, e-health systems for remote monitoring, diagnosis, etc. mandate that signals must be sent over a communication network, and hence must be quantized. In other words, pursuing modeling and control of systems that involve communication channels will need, as a foundation, identification and complexity analysis of system identification with quantized observations.

In this talk, recent advances will be presented on system identification with binary or quantized observations. We will start with the fundamental aspects of identification algorithms, strong convergence, convergence rates, and algorithm efficiency (optimality). Findings from these fundamental issues are then employed to understand such identification problems in various system and environment settings, including different system models (gain, finite impulse response, and rational systems), joint identification of systems and noise distributions, impact of communication channels on identification accuracy and speed, selection of quantization thresholds, etc.

SESSION: Circuits and Design Optimization

Chair: Sherif Michael, A. C. Varonides

SESSION: Circuits System - Artificial Intelligence and Signal Processing

Chair: Giovanni Costantini, Ramesh Pokharel

SESSION: Analysis – Measurements and Methods

Chair: Dorina-Mioara Purcaru, Zdenek Kolka

SESSION: Circuits Systems and Applications

Chair: Xiaofang Zhou, Jose Italo Cortez

SESSION: Circuits Systems – Filters and Classification   

Chair: Sabin Ionel, Valeri Mladenov

Tuesday, July 24 2007

SESSION: Network Communication and Fault Tolerance

Chair: Spyros Tragoudas, Giovanni Costantini

SESSION: Circuits and Sensors

Chair: Julius Foit, Natasa Males-Ilic

SESSION: Circuits and switch

Chair: Valeri Mladenov, Dalibor Biolek

Wednesday, July 25 2007

SESSION: Circuits Analysis

Chair: Nicolae Galupa, Seta Kazuhisa

PROGRAM

11th WSEAS International Conference on SYSTEMS

Agios Nikolaos, Crete Island, Greece, July 23-25, 2007

Monday, July 23 2007

PLENARY LECTURE 1

Key Technologies in Next Generation Optical Networks

Professor Leonid Kazovsky

Photonic & Networking Research Laboratory (PNRL)

Stanford University, USA

kazovsky@stanford.edu

Abstract: Due to advances in photonics technologies and worldwide deployment of optical fibers, optical core transport networks have experienced an extraordinary increase of transmission capacity during the last decade. As long-haul optical networks and technologies were successfully deployed for inter- and cross-continental links, access networks and, to a lesser extent, metro networks emerge as the main challenge in terms of capacity, service and cost. New technologies need to be addressed for next generation optical networks include:

• Passive optical access networks evolving from TDM to WDM;

• Convergence of optical and wireless technologies;

• Efficient and transparent connectivity across access, metro and backbone networks;

• Burst-mode transmission underlying the aforementioned technologies.

This talk will discuss the opportunities and challenges in next generation optical networks, and present research results and future research directions in network architecture, routing algorithms and key enabling technologies.

PLENARY LECTURE 2

Numerical and Parametrical Optimisation for the Simulation of a

Turbulent Combustion Phenomenon in a Well-Stirred Reactor in Steady

State Conditions

Professor Vincenzo Niola

Department of Mechanical Engineering for Energetic

University of Naples “Federico II”

ITALY

E-mail: vincenzo.niola@unina.it

Abstract: Actually, the aggregated energy demand is growing up very quickly. To solve the global energetic problem, we have to rationalise all sources not only optimising processes, but also trying to use all possible renewal combustibles. Adjective renewal means available, not necessarily abundant, however capable of burning with low pollutant emissions. In this work we focused our attention to find a way to optimise a particular combustion process with liquid fuel; therefore, an hypothetical success would give a considerable contribute about disposing of waste. Preliminarily, we predispose an analysis CFD kind, using it like a powerful support to experimental techniques to investigate and to improve combustion efficiency (especially for turbulence combustion) and to explore some possible applications. In particular, we prepare a code to model the whole process, try to solve the mixing process of reactants for given inlet conditions settings, introducing some peculiar tools to represent the diffusion phenomena in a correct way. So interactions between combustible and air will be simulated and analyzed to make it repeatable successively also in an experimental context; logical purpose is to find out the best relationship of fluid dynamic parameters, such as inlet injection velocity, air exceed, temperature, pressure. A special attention will be paid to numerical stability to define the measure of quality level of combustive process. Initially, simulation will be managed according to a RANS approach, therefore the results will be used to examine carefully the problem with a LES one. This second way is more complex and, as well known, it’s more computational expansive, but, on the other side, it assures more reliability to results. This research aims to investigate the way to dispose of exhaust oils at a low price, according to environmental requirements, recovering energy. Otherwise this could be useful in the same way. In fact, disposing of exhaust oils is a problem, so burning them could become alternative way to rid of exhaust oils respecting environmental prescription. Last, in a context of energetic crisis it could be necessary to use exhaust oils (and equally other renewal sources) to recovery energy.

PLENARY LECTURE 3

Study of controllability of two-order singular systems under an

algebraic point of view

Professor M. Isabel Garcia-Planas

Departament de Matematica Aplicada I

Universitat Politecnica de Catalunya

C. Mineria 1, Esc C, 1o-3a

08038 Barcelona, Spain

E-mail: maria.isabel.garcia@upc.edu 

PLENARY LECTURE 4

Will we ever tackle the Problem of Environmental Pollution?

 

Professor Le Yi Wang

Department of Electrical and Computer Engineering

Wayne State University

Detroit, Michigan 48202

USA

Email: lywang@indigo.eng.wayne.edu

Abstract: Binary-valued or quantized sensors are employed in many practical systems. Typical examples include switching sensors for exhaust gas oxygen, traffic condition indicators in the ATM (asynchronous transmission mode), neural networks. More important, the new paradigm of sensor networks, networked systems and control, e-health systems for remote monitoring, diagnosis, etc. mandate that signals must be sent over a communication network, and hence must be quantized. In other words, pursuing modeling and control of systems that involve communication channels will need, as a foundation, identification and complexity analysis of system identification with quantized observations.

In this talk, recent advances will be presented on system identification with binary or quantized observations. We will start with the fundamental aspects of identification algorithms, strong convergence, convergence rates, and algorithm efficiency (optimality). Findings from these fundamental issues are then employed to understand such identification problems in various system and environment settings, including different system models (gain, finite impulse response, and rational systems), joint identification of systems and noise distributions, impact of communication channels on identification accuracy and speed, selection of quantization thresholds, etc.

SESSION: Optimal Control and Controllers

Chair: Konstantinos Arvanitis, Petr Pivonka

SESSION: Control – Sensors and Applications

Chair: Emine Dogru Bolat, Bohumil Sulc

SESSION: GPS Systems and Navigation

Chair: Chang-Wan Jeon, Virgil Tiponut

SESSION: Speech and Image Systems, Segmentation and Analysis

Chair: Karlheinz Spindler, Jose Italo Cortez

SESSION: Systems – Faults Detections and Wavelet Transforms

Chair: Guangrong Shen, Ernst D. Schmitter

Tuesday, July 24 2007

SPECIAL SESSION: Intelligent Systems

Chair: Valeri Mladenov, Snejana Yordanova

SESSION: Identification Systems and Applications

Chair: Edson Paladini, Petr Pivonka

SESSION: Wireless Communication - Network Sensors and authedication

Chair: Paolo Di Giamberardino, Le Yi Wang

SESSION: Systems – Switching Control and Optimization

Chair: Oscar Barambones, Carmen Simion

SESSION: Knowledge System, Risk and Applications

Chair: Dana Klimešová, Seta Kazuhisa

Wednesday, July 25 2007

SESSION: Optimization Algorithms and Modeling

Chair: C. K. Loo, Milos Seda

SESSION: Power Flow – Control Systems and Simulations

Chair: Corneliu Botan, Chengmin Wang

SESSION: System - Control and Organization

Chair: Chengmin Wang, C. K. Loo

PLENARY LECTURE 5

A New Look at Convexity, Duality, and Optimization

Professor Dimitri P. Bertsekas
McAfee Professor of Engineering

Massachusetts Institute of Technology

77 Massachusetts Ave.

Lab. for Information and Decision Systems

Rm 32-660D

Cambridge, MA 02139

Email: dimitrib@mit.edu

http://web.mit.edu/dimitrib/www/home.html

Abstract: This talk will review a recent book treatment of convex analysis and optimization. While the subject of the book is classical, the treatment of several of its important topics is new and in some cases relies on new research. The new lines of analysis include:
(a) A unified framework for minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. Within this framework, the fundamental constraint qualifications needed for strong duality and existence of saddle points are quite apparent, and admit straightforward proofs.
(b) A unification of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. This unification is based on conditions guaranteeing that a nested family of closed convex sets has a nonempty intersection.
(c) A unification of the major constraint qualifications that guarantee the existence of Lagrange multipliers for nonconvex constrained optimization. This unification is achieved through the notion of constraint pseudonormality, which is motivated by an enhanced form of the Fritz John necessary optimality conditions.
(d) The development of incremental subgradient methods for dual optimization, and the analysis of their advantages over classical subgradient methods.

PROGRAM

11th WSEAS International Conference on COMMUNICATIONS

Agios Nikolaos, Crete Island, Greece, July 23-25, 2007

Thursday, July 26, 2007

PLENARY LECTURE 1

Island hopping with Optical Wireless: deployment and security

Professor Stamatios Kartalopoulos
University of Oklahoma, USA
E-mail: kartalopoulos@ou.edu

Abstract: Optical wireless communications, also known as Free Space Optical (FSO), is evolving from a simple point-to-point link to a mesh network. This evolution is due to the inherent features of FSO, ease of deployment (few hours or a day) compared with fiber optic networks (months or years), lower cost (simpler optical transceiver), and high bandwidth that potential can match fiber optic transmission (10 Gbps). However, FSO has its own impediments (fog and other airborne atmospheric particles), which require a good understanding so that a countermeasure strategy is developed to provide seamless service under all conditions.

In this talk, we present the salient characteristics of FSO technology and we present a FSO mesh network with RF back-up and enhanced security that offers triple-play services, and is particularly suitable for deployment in areas where network nodes form a closely spaced cluster, such as the Aegean islands. The presentation includes network scalability as well as information security strategies.

PLENARY LECTURE 2

Key Technologies in Next Generation Optical Networks

Professor Leonid Kazovsky

Photonic & Networking Research Laboratory (PNRL)

Stanford University, USA

kazovsky@stanford.edu

Abstract: Due to advances in photonics technologies and worldwide deployment of optical fibers, optical core transport networks have experienced an extraordinary increase of transmission capacity during the last decade. As long-haul optical networks and technologies were successfully deployed for inter- and cross-continental links, access networks and, to a lesser extent, metro networks emerge as the main challenge in terms of capacity, service and cost. New technologies need to be addressed for next generation optical networks include:

• Passive optical access networks evolving from TDM to WDM;

• Convergence of optical and wireless technologies;

• Efficient and transparent connectivity across access, metro and backbone networks;

• Burst-mode transmission underlying the aforementioned technologies.

This talk will discuss the opportunities and challenges in next generation optical networks, and present research results and future research directions in network architecture, routing algorithms and key enabling technologies.

PLENARY LECTURE 3

Modelling PEM Fuel Cells Using Neural Networks
 

Professor Jose Carlos Quadrado

DEEA - Instituto Superior de Engenharia de Lisboa

R. Conselheiro Emidio Navarro, 1, 1959-007 LISBOA

Portugal

E-mail: jcquadrado@deea.isel.ipl.pt

Abstract: New worldwide spread environmental legislation restricts the energy production systems to reduce the CO2 emissions. The Proton Exchange Membrane Fuel Cell (PEMFC) is the most promising technology in the energy domain, where low emissions and fast start-up is required. In the majority of its application, the PEMFC requires the behaviour control and supervision. To achieve these goals an efficient computational model is fundamental. The existing models require complete and accurate parameters’ identification, which in those systems is hard to obtain. It is possible to obtain efficient behaviour models by resorting to black-box like models that incorporate neural networks’ elements and therefore overcame the PEMFC modelling limitations.

PLENARY LECTURE 4

Information Aggregation as one of the Pillars of Intelligent Systems

Professor Imre J. Rudas

Institute of Intelligent Engineering Systems

John von Neumann Faculty of Informatics

Budapest Tech

Becsi ut 96/b

H-1034 Budapest, Hungary

Email: rudas@bmf.hu

Abstract: In intelligent systems where fuzzy rule base and reasoning mechanism are applied, like fuzzy control systems, decision support and expert systems, one of the key issues is the problem of aggregation of information represented by membership functions. Since the pioneering work of Prof. Lotfi Zadeh dated to 1965 a great number of fuzzy connectives, aggregation operators have been introduced. The results of continuous research in this area have proved that the generally used t-norms, t-conorms do not follow always the real phenomena and do not provide optimal performance. The requirement to develop more sophisticated intelligent systems demands to find new operator families. This paper summarizes some new approaches to information aggregation from the literature and the research results of the authors and his colleagues that have been carried out in recent years on generalization of conventional operators.

PLENARY LECTURE 5

Non-Linear Symbolic Program Analysis for Increased Parallelization

Professor Kleanthis Psarris

Department of Computer Science

The University of Texas at San Antonio

San Antonio, TX 78249

E-mail: psarris@cs.utsa.edu

Abstract: High end parallel and multi-core processors rely on compilers to perform the necessary optimizations and exploit concurrency in order to achieve higher performance. However, source code for high performance computers is extremely complex to analyze and optimize. In particular, program analysis techniques often do not take into account complex expressions during the data dependence analysis phase. Most data dependence tests are only able to analyze linear expressions, even though non-linear expressions occur very often in practice. Therefore, considerable amounts of potential parallelism remain unexploited. In this work we propose new data dependence analysis techniques to handle such complex instances of the dependence problem and increase program parallelization. Our method is based on a set of polynomial time techniques that can prove or disprove dependences in source codes with non-linear and symbolic expressions, complex loop bounds, arrays with coupled subscripts, and if-statement constraints. In addition our algorithm can produce accurate and complete direction vector information, enabling the compiler to apply further transformations. To validate our method we performed an experimental evaluation and comparison against the I-Test, the Omega test and the Range test in the Perfect and SPEC benchmarks. The experimental results indicate that our dependence analysis tool is accurate, efficient and more effective in program parallelization than the other dependence tests. The improved parallelization results into higher speedups and better program execution performance in several benchmarks.

PLENARY LECTURE 6

Novel Transform Domain Principal Component Analysis (PCA)

Techniques and Some Applications: Facial and Automatic Target

Recognition

Professor Wasfy B. Mikhael

Professor of Electrical and Computer Engineering

Director of Digital Signal Processing Laboratory

School Electrical Engineering and Computer Science

University of Central Florida

Orlando, FL 32816-2450

USA

Additional Authors:
Moataz M. Abdelwahab and Pradeep Ragothaman

Abstract: Novel transform domain formulations and implementations of PCA techniques will be given. It will be shown that this new approach results in considerable computational and storage savings while yielding very high accuracy. Useful applications such as Facial and Automatic Target Recognition are given confirming the considerable performance improvement.

PLENARY LECTURE 7

A New Look at Convexity, Duality, and Optimization
 

Professor Dimitri P. Bertsekas

McAfee Professor of Engineering

Massachusetts Institute of Technology

77 Massachusetts Ave.

Lab. for Information and Decision Systems

Rm 32-660D

Cambridge, MA 02139

Email: dimitrib@mit.edu

http://web.mit.edu/dimitrib/www/home.html

Abstract: This talk will review a recent book treatment of convex analysis and optimization. While the subject of the book is classical, the treatment of several of its important topics is new and in some cases relies on new research. The new lines of analysis include:

(a) A unified framework for minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. Within this framework, the fundamental constraint qualifications needed for strong duality and existence of saddle points are quite apparent, and admit straightforward proofs.

(b) A unification of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. This unification is based on conditions guaranteeing that a nested family of closed convex sets has a nonempty intersection.

(c) A unification of the major constraint qualifications that guarantee the existence of Lagrange multipliers for nonconvex constrained optimization. This unification is achieved through the notion of constraint pseudonormality, which is motivated by an enhanced form of the Fritz John necessary optimality conditions.

(d) The development of incremental subgradient methods for dual optimization, and the analysis of their advantages over classical subgradient methods.

SESSION: Security – Authentication methods and Attacks

Chair: Javed Khan, Andreja Samcovic

SESSION: Mobile Communications

Chair: Tatiana Kovacikova, Gregor Rozinaj

Friday, July 27, 2007

PLENARY LECTURE 8

A Concurrent Modular Neural System for Pattern Recognition and its

Applications in Biometrics and Satellite Imagery

Professor Victor-Emil Neagoe

Depart. of Electronics, Telecommunications and Information Technology,

Polytechnic University of Bucharest,

Splaiul Independentei 313, Bucharest, Romania

Email: victoremil@gmail.com

Abstract: Starting from the idea to consider an artificial neural module as a cell characterizing a specific class only, we propose and evaluate a new neural pattern recognition system , representing a collection of small neural modules, which use a global concurential strategy. Each module is used to correctly classify the patterns of one class only and the number of modules equals the number of classes. The model proved to have very good performances , both for the recognition score and also for the training time.

We also present the applications of the proposed system for biometrics (color and infrared facial image recognition) as well as for satellite imagery (recognition of multispectral pixels: vegetation, water, sand, buildings).

SESSION: Data transmission and Applications

Chair: Toshiaki Imoto, Kin-Yeung Wong

SESSION: Antennas and Applications

Chair: Sarabjeet Singh, Luan Ahma

SESSION: Radars – Codes and Software Applications

Chair: Intae Hwang, Joy Long-Zong Chen

SESSION: Radars – Satellite Systems and Applications

Chair: Hsu Chun-Liang, Tomas Zelinka

Saturday, July 28, 2007

SESSION: Wireless Communications - Wireless Sensor Networks and Data

Chair: Joy Long-Zong Chen, Weilian Su

SESSION: Communications and Modulations

Chair: Hsu Chun-Liang, Intae Hwang

SESSION: Wireless Communications and Networks

Chair: Babak Beheshti, Dimitrios Karras

PROGRAM

11th WSEAS International Conference on COMPUTERS

Agios Nikolaos, Crete Island, Greece, July 23-25, 2007

Thursday, July 26, 2007

PLENARY LECTURE 1

Island hopping with Optical Wireless: deployment and security

Professor Stamatios Kartalopoulos
University of Oklahoma, USA
E-mail: kartalopoulos@ou.edu

Abstract: Optical wireless communications, also known as Free Space Optical (FSO), is evolving from a simple point-to-point link to a mesh network. This evolution is due to the inherent features of FSO, ease of deployment (few hours or a day) compared with fiber optic networks (months or years), lower cost (simpler optical transceiver), and high bandwidth that potential can match fiber optic transmission (10 Gbps). However, FSO has its own impediments (fog and other airborne atmospheric particles), which require a good understanding so that a countermeasure strategy is developed to provide seamless service under all conditions.

In this talk, we present the salient characteristics of FSO technology and we present a FSO mesh network with RF back-up and enhanced security that offers triple-play services, and is particularly suitable for deployment in areas where network nodes form a closely spaced cluster, such as the Aegean islands. The presentation includes network scalability as well as information security strategies.

PLENARY LECTURE 2

Key Technologies in Next Generation Optical Networks

Professor Leonid Kazovsky

Photonic & Networking Research Laboratory (PNRL)

Stanford University, USA

kazovsky@stanford.edu

Abstract: Due to advances in photonics technologies and worldwide deployment of optical fibers, optical core transport networks have experienced an extraordinary increase of transmission capacity during the last decade. As long-haul optical networks and technologies were successfully deployed for inter- and cross-continental links, access networks and, to a lesser extent, metro networks emerge as the main challenge in terms of capacity, service and cost. New technologies need to be addressed for next generation optical networks include:

• Passive optical access networks evolving from TDM to WDM;

• Convergence of optical and wireless technologies;

• Efficient and transparent connectivity across access, metro and backbone networks;

• Burst-mode transmission underlying the aforementioned technologies.

This talk will discuss the opportunities and challenges in next generation optical networks, and present research results and future research directions in network architecture, routing algorithms and key enabling technologies.

PLENARY LECTURE 3

Modelling PEM Fuel Cells Using Neural Networks
 

Professor Jose Carlos Quadrado

DEEA - Instituto Superior de Engenharia de Lisboa

R. Conselheiro Emidio Navarro, 1, 1959-007 LISBOA

Portugal

E-mail: jcquadrado@deea.isel.ipl.pt

Abstract: New worldwide spread environmental legislation restricts the energy production systems to reduce the CO2 emissions. The Proton Exchange Membrane Fuel Cell (PEMFC) is the most promising technology in the energy domain, where low emissions and fast start-up is required. In the majority of its application, the PEMFC requires the behaviour control and supervision. To achieve these goals an efficient computational model is fundamental. The existing models require complete and accurate parameters’ identification, which in those systems is hard to obtain. It is possible to obtain efficient behaviour models by resorting to black-box like models that incorporate neural networks’ elements and therefore overcame the PEMFC modelling limitations.

PLENARY LECTURE 4

Information Aggregation as one of the Pillars of Intelligent Systems

Professor Imre J. Rudas

Institute of Intelligent Engineering Systems

John von Neumann Faculty of Informatics

Budapest Tech

Becsi ut 96/b

H-1034 Budapest, Hungary

Email: rudas@bmf.hu

Abstract: In intelligent systems where fuzzy rule base and reasoning mechanism are applied, like fuzzy control systems, decision support and expert systems, one of the key issues is the problem of aggregation of information represented by membership functions. Since the pioneering work of Prof. Lotfi Zadeh dated to 1965 a great number of fuzzy connectives, aggregation operators have been introduced. The results of continuous research in this area have proved that the generally used t-norms, t-conorms do not follow always the real phenomena and do not provide optimal performance. The requirement to develop more sophisticated intelligent systems demands to find new operator families. This paper summarizes some new approaches to information aggregation from the literature and the research results of the authors and his colleagues that have been carried out in recent years on generalization of conventional operators.

PLENARY LECTURE 5

Non-Linear Symbolic Program Analysis for Increased Parallelization

Professor Kleanthis Psarris

Department of Computer Science

The University of Texas at San Antonio

San Antonio, TX 78249

E-mail: psarris@cs.utsa.edu

Abstract: High end parallel and multi-core processors rely on compilers to perform the necessary optimizations and exploit concurrency in order to achieve higher performance. However, source code for high performance computers is extremely complex to analyze and optimize. In particular, program analysis techniques often do not take into account complex expressions during the data dependence analysis phase. Most data dependence tests are only able to analyze linear expressions, even though non-linear expressions occur very often in practice. Therefore, considerable amounts of potential parallelism remain unexploited. In this work we propose new data dependence analysis techniques to handle such complex instances of the dependence problem and increase program parallelization. Our method is based on a set of polynomial time techniques that can prove or disprove dependences in source codes with non-linear and symbolic expressions, complex loop bounds, arrays with coupled subscripts, and if-statement constraints. In addition our algorithm can produce accurate and complete direction vector information, enabling the compiler to apply further transformations. To validate our method we performed an experimental evaluation and comparison against the I-Test, the Omega test and the Range test in the Perfect and SPEC benchmarks. The experimental results indicate that our dependence analysis tool is accurate, efficient and more effective in program parallelization than the other dependence tests. The improved parallelization results into higher speedups and better program execution performance in several benchmarks.

PLENARY LECTURE 6

Novel Transform Domain Principal Component Analysis (PCA)

Techniques and Some Applications: Facial and Automatic Target

Recognition

Professor Wasfy B. Mikhael

Professor of Electrical and Computer Engineering

Director of Digital Signal Processing Laboratory

School Electrical Engineering and Computer Science

University of Central Florida

Orlando, FL 32816-2450

USA

Additional Authors:
Moataz M. Abdelwahab and Pradeep Ragothaman

Abstract: Novel transform domain formulations and implementations of PCA techniques will be given. It will be shown that this new approach results in considerable computational and storage savings while yielding very high accuracy. Useful applications such as Facial and Automatic Target Recognition are given confirming the considerable performance improvement.

PLENARY LECTURE 7

A New Look at Convexity, Duality, and Optimization
 

Professor Dimitri P. Bertsekas

McAfee Professor of Engineering

Massachusetts Institute of Technology

77 Massachusetts Ave.

Lab. for Information and Decision Systems

Rm 32-660D

Cambridge, MA 02139

Email: dimitrib@mit.edu

http://web.mit.edu/dimitrib/www/home.html

Abstract: This talk will review a recent book treatment of convex analysis and optimization. While the subject of the book is classical, the treatment of several of its important topics is new and in some cases relies on new research. The new lines of analysis include:

(a) A unified framework for minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. Within this framework, the fundamental constraint qualifications needed for strong duality and existence of saddle points are quite apparent, and admit straightforward proofs.

(b) A unification of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. This unification is based on conditions guaranteeing that a nested family of closed convex sets has a nonempty intersection.

(c) A unification of the major constraint qualifications that guarantee the existence of Lagrange multipliers for nonconvex constrained optimization. This unification is achieved through the notion of constraint pseudonormality, which is motivated by an enhanced form of the Fritz John necessary optimality conditions.

(d) The development of incremental subgradient methods for dual optimization, and the analysis of their advantages over classical subgradient methods.

SESSION: Databases and Data mining I

Chair: Jose Aguilar, Lawrence Deng

SESSION: Databases and Data Mining II

Chair: Agostino Poggi, Dong-Liang Lee

Friday, July 27, 2007

PLENARY LECTURE 8

A Concurrent Modular Neural System for Pattern Recognition and its

Applications in Biometrics and Satellite Imagery

Professor Victor-Emil Neagoe

Depart. of Electronics, Telecommunications and Information Technology,

Polytechnic University of Bucharest,

Splaiul Independentei 313, Bucharest, Romania

Email: victoremil@gmail.com

Abstract: Starting from the idea to consider an artificial neural module as a cell characterizing a specific class only, we propose and evaluate a new neural pattern recognition system , representing a collection of small neural modules, which use a global concurential strategy. Each module is used to correctly classify the patterns of one class only and the number of modules equals the number of classes. The model proved to have very good performances , both for the recognition score and also for the training time.

We also present the applications of the proposed system for biometrics (color and infrared facial image recognition) as well as for satellite imagery (recognition of multispectral pixels: vegetation, water, sand, buildings).

SPECIAL SESSION: Advanced Computational Techniques, Algorithms and Numerical Modelling, Simulation and Optimization I

Chair: Dana Simian

SESSION: Artificial Intelligence and Applications

Chair: Abdenour Labed, Victor-Emil Neagoe

SPECIAL SESSION: Advanced Computational Techniques, Algorithms and Numerical Modelling, Simulation and Optimization II

Chair: Dana Simian

SESSION: Computers and Networks

Chair: Weilian Su, Victor-Emil Neagoe

SPECIAL SESSION: Advanced Computational Techniques, Algorithms and Numerical Modelling, Simulation and Optimization III

Chair: Dana Simian

SESSION: E-services and Applications

Chair: Felicia Ionescu, Ioan Salomie

SPECIAL SESSION: Advanced Computational Techniques, Algorithms and Numerical Modelling, Simulation and Optimization IV

Chair: Dana Simian

SESSION: Image Processing

Chair: Hesham Faouk, Richard Frye

Saturday, July 28, 2007

SPECIAL SESSION: Advanced Computational Techniques, Algorithms and Numerical Modelling, Simulation and Optimization V

Chair: Dana Simian

SESSION: Operational Systems and Architecture

Chair: Stergios Papadimitriou, Zaigham Mahmood

SESSION: Information Systems and Analysis

Chair: Ioan Salomie, Lucio Tommaso De Paolis

SESSION: Security System and Cryptography

Chair: George Savii, Lucio Tommaso De Paolis

SESSION: Computers – software and Applications

Chair: Paulo Sousa, Petr Pivonka

SESSION: Computers - Decision Level and Applications

Chair: Shishir Shah, George Bebis

SESSION: Control, management and Applications

Chair: Jose Aguilar, Shishir Shah