Liverpool, UK, 28 � 30 July 2010
Call for Papers
Travel to Liverpool
Flights & Travel
Full/Short/Poster/WIP papers: 30 April 2010
Paper: 10 May 2009
to CPS server &
20 May 2010
14 May 2009
Credit Card on EDAS
University of Liverpool
Queen Mary, London
31 Keel Wharf, Liverpool, L3 4FN
History, for info only.
FINAL DEADLINE 4 June 2010:
Use template below to format your paper:
Then submit it through EDAS: http://edas.info
Papers are invited on any aspect of Computational Intelligence, Communication Systems and Networks. Papers presenting work validated by experimentation, simulation or analysis are solicited. Papers with application and experimental focus from both industry and academy, duly documenting lessons learnt from test-beds, field trials or real deployments are particularly welcome. Manuscripts must be submitted electronically through the EDAS system. The conference will be held in Liverpool city, United Kingdom.
Topics of interest include, but are not limited to:
Hybrid Intelligent Systems & Hybrid Soft Computing
Sensor Nodes, Circuits, Devices, Wireless Sensor Networks
Image, Speech and Signal Processing
Transport, Logistics, Harbour, Shipping and Marine
Virtual Reality, Visualization and Computer Games
Parallel and Distributed Architectures and Systems
Internet Modelling, Semantic Web and Ontologies
Mobile ad hoc Networks
Vehicular Technology and Networks
QoS for Voice and Video
in Wireless Networks
Applications: aerospace; remote sensing; wireless communication, intelligence and simulation, electronic circuits and systems; communication and networks; management; games, war/conflict/rebellion modelling, cognitive functions, semantics modelling/ dynamics; manufacturing; robotics; measurement; monitoring; safety critica1 systems; military.
Exhibitors: manufacturers of software and hardware, publishers, etc., are invited to apply to exhibit their products.
You are invited
- proposal to organize a
technical session and/or workshop.
Submissions must be original, unpublished work containing new and interesting results that demonstrate current research in all areas of computational intelligence, computer systems and networks, focusing on modelling, simulation and applications in science, technology, business and commerce. Proceedings will be published by Conference Publishing Service (CPS). The conference is jointly organised by UK Simulation Society and Asia Modelling and Simulation Society and supported/co-sponsored by
- European Council for Modelling & Simulation
- IEEE UK & RI� Section
Computer Simulation Int. (SCS)-
Submission implies the willingness of at least one of the authors to register and present the paper. All papers are to be submitted electronically,- see full instructions under Paper Submission below, in PDF or Word format. All papers will be peer reviewed by at least three independent referees of the international program committee.
Paper Submission: CICSyN2010 is using EDAS for submission and registration, authors need to:
- create an account with EDAS by clicking on the link below
- open the list of conferences managed by EDAS & find CICSyN2010
- click on Submit button on the right to enter your paper title & abstract
- upload file.
Authors of the best papers will be invited to revise and extend their work for publication in a special issue of the International Journal of Simulation: Systems, Science and Technology.
Conference website: http://www.cicsyn2010.org.uk
Prof. Ing. Heinz Frank, Reinhold-Wuerth-University K�nzelsau, Germany
Prof. P.K. Meher, NTU, Singapore
Dr Athanasios Pantelous, UK
Dr. Harkirat Singh, Samsung, USA
Dr. Maman Abdurohman,Institut Teknologi Telkom,Bandung - Indonesia
Prof. Vijay Bhargava, University of British Columbia, Vancouver, Canada
Prof. Hai JiangArkansas State University, USA
Dr. Theodoros G. Kostis, Greece
Dr. Varun Jeoti, Petronas, Malaysia
Dr. Joanne Scillitoe, Michigan Tech Univ, USA
Prof Shubha Kher, USA
Prof Helen Karatza, Greece
Prof Anna Lekova, Bulgaria
Prof. Sudarshan Tiwari, MNNIT, Allahabad
Dr. Shekhar Verma, IIIT, Allahabad
Dr. Shrishu Verma, IIIT, Allahabad
Prof. Harnath Kar, MNNIT, Allahabad
Prof. A.G. Keshkar, VNIT, Nagpur, India
Prof. P.K. Singhal, MITS, Gwalior India
Prof. S.S. Bhadoria, MITS, Gwalior, India
Ms. Pallavi Shukla, VITM, Indore, India
Mr.� Manish Dixit, MITS, Gwalior, India
Prof. A.K. Saxena, Libya
Dr. Aditya Trivedi, IIITM, Gwalior, India
Prof. B.K. Mohanty, JIET, Guna, India
Mr. R.S. Tomar, IITM, Gwalior, India
Mr. B.K. Chaurasia, IIIT, Allahabad, india
Dr. Shirsu Verma, IIIT, Allahabad, India
Mr. Arvind Jain, RJIT, Gwalior, India
Mr. Prashant Purohit, RJIT, India
Mr. P. Ganeshan, British Telecom, Malaysia
Dr. S.S. Bedi, Barielly, India
Dr. Lei Shu, Japan
Dr. K. Madduletty, NITIE, Mumbai, India
Dr. Atul Negi, Hyderabad, India
Dr. S.K. Shukla, India
Prof. Suresh Kumar, Tumkur, India
Dr. C.V. Tripathi, India
Dr. Azrin Aris, Malaysia
Dr. Jongman Cho, Korea
Dr. Shwkat Ali, Australia
Mr. Valliappan Raman, USM, Malaysia
Mr. Rajit Ram, VITM, India
Prof Eduard Babulak, Canada
Prof. Rakesh Saxena
Abu Khari A'ain
Mohd Zaidi Abd Rozan
Normaziah Abdul Aziz
Izhal Abdul Halin
Theodoros G. Kostis
Ruzairi Abdul Rahim
Shahrum Shah Abdullah
Dayang Norhayati Abg Jawawi
Kamalrulnizam Abu Bakar
Rohani Abu Bakar
Syed Abd Rahman Abu Bakar
Mohamad Noh Ahmad
Mohammad Nazir Ahmad
Marcelo Ang, Jr
Mohammad Razaa Borujerdi�����������
Chin Soon Chong
Chionh Eng Wee
Boon Ping Gan
Abdul Razak Hamdan
Aboul Ella Hassanien
Mohd. Yazid Idris
Mojca Indihar �temberger
Emilio Jim�nez Mac�as
S. D. Katebi
Noor Khafifah Khalid
Tri Basuki Kurniawan
Rik Van Landeghem
A minimum of one registration fee is payable for each paper accepted.
When the final version of the paper is uploaded one of the authors should be nominated to attend the conference and present the paper. If this is not done then the organising committee will assume that the first author is the nominated author. The status of the nominated author will determine the registration fee that is payable for that paper. If additional authors wish to attend (and they are not the nominated author for another paper) then an additional registration fee is payable for each such author.
Attendees must pay the registration fee appropriate to their own status.
Computational Challenges in the Simulation of Modern Electrical Power Systems
Roy Crosbie, Professor Emeritus, California State University, Chico
Developments in power electronics, control techniques, renewable energy sources and security concerns have produced a surge of interest in the challenges of modeling and simulating modern electrical power systems. For many years the simulation of power systems focused largely on established techniques such as load flow analysis to support the effective operation of public utility generation, transmission, and distribution systems. Computational techniques and algorithms, developed in the 1960�s and 70�s by pioneers such as Dommel and others led to the production of legacy codes like the Electromagnetic Transients Program (EMTP) which has dominated� the approach to the simulation of electrical power systems until quite recently.
This situation is changing rapidly driven by developments in power electronics as higher-power, higher-voltage, higher-speed controlled switches are made available. Conversion of the raw electrical output from renewable sources such as solar and wind generators into a suitable form for connection to the grid is another driver of change as is the need for more customized electrical energy supplies for special needs. As a result there is now a strong focus on the conversion of electrical power between alternating and direct current forms. High-voltage direct-current (HVDC) transmission has long been a technology used in special situations such as the underwater d.c. cables that connect, for example, the UK and European grids, or New Zealand�s North and South Islands, or the transmission of hydro power from the US Pacific Northwest to Southern California. DC links are also used to stabilize the grid as in the Kingsmede link in the UK or to connect a.c. systems with different frequencies as in the Japanese 50Hz to 60Hz connection.
These established technologies are now becoming critical to a much broader range of power applications. The next generation of all-electric Navy ships, for example, will need power systems that feature large numbers of converters to customize the electrical power to a wide range of loads including direct electric drives and high-energy pulsed loads. Connection of renewable sources to the grid, more localized control of electrical power for special requirements, and security issues are all driving these advances in technology.
These developments necessitate significant changes in the way power systems are simulated. Rapidly switching pulse-width modulation controllers are now widely used to control converters that couple a.c. and d.c. subsystems. Simulation step sizes of 50 μS, the standard for many years, must be reduced to the order of 1 microsecond or less to accommodate increasing switching frequencies. This factor has had a particularly significant effect on real-time simulation where special processors based on digital signal processors (DSPs) or field-programmable gate arrays (FPGAs) are being used to achieve these frame times.
DSPs use parallel pipelined floating-point arithmetic units and a more conventional programming approach with efficient optimizing C compilers that take advantage of the parallel architecture of the processor. Frame times as low as 2 μS have been achieved using four DSPs on a single PCI board for a power electronics benchmark consisting of 23 differential equations, 12 switches, and two PWM controllers. FPGAs feature large numbers of gates, registers, and other digital logic elements that can be configured in a very flexible manner to perform arithmetic and logical operations. This provides an architecture that can be configured to the structure of the required computation whereas conventional programming is more a case of structuring the program to match the fixed architecture of the processor. The FPGA, however, suffers from the disadvantages that it is more suited to fixed-point arithmetic (floating point is possible but is much more expensive in its use of FPGA capacity), and the programming method is significantly different to that of conventional processors typically used for simulation applications. A graphical approach is available in which the user lays out the arrangement of the functional units and this schematic is converted to the hardware development language, VHDL, and then compiled. Alternatively the program can be written directly in VHDL. Frame times of less than 0.5 μS have been achieved for the above benchmark using a single FPGA.
Another challenge is to integrate power system and communication system simulations to address regional control processes, which are required to improve stability, reliability and security of electrical utility systems. Utility-based electrical power systems are controlled from regional or national control centres. At intervals of a few minutes, high-speed computers at these centres simulate and calculate the dynamic state of the system, identify threatening fault conditions and, if necessary, prepare to make corrective actions in the event of any of a large number of developing scenarios. With the rapid changes that are possible in electric power systems and the vast amounts of data collected from geographically widespread power-system locations, there is a constant challenge to improve the processing of raw data and its communication to control centres.� While a great deal of improvement has been achieved in the acquisition and communication of data, much more progress is needed to compute and analyze power system security for real time actions. Delays in transmission pose significant problems to maintaining stable operation of the grid. The challenges are to increase the amount of intelligent control at the remote sites themselves, to compress the large amounts of raw data that are generated, and to reduce communication delays between the remote sites and the control centers. More detailed simulations that combine the distributed power system with the communication network are being developed to assist in meeting the challenge.
Real-time simulations will be important for continuously implementing strategies to prevent cascading of major outages and for optimum system islanding (ie identification and isolation of the affected parts of the system) in the event of a major disaster, thereby preventing widespread blackouts as well as continuously developing recovery and restoration strategies.
The paper will present an overview of these problems and details of some of the developments that address them.
Roy Crosbie received his B.Eng and Ph.D. degrees in Electrical and Electronic Engineering from the University of Liverpool, UK. He is a Chartered Engineer (UK). He has experience with the Marconi Co. and Bell Canada. He was on the Electrical Engineering faculty at the University of Salford England for 20 years.� He established a Simulation Laboratory at Salford and developed one of the first ever MS programs in Computer Simulation (in 1970). Jointly with the late Dr. John Hay he developed the ISIS, ISIM and ESL simulation languages. In 1968, he helped to found the UK Simulation Council, later the UK Simulation Society and was elected to the Executive Committee of SCS in 1972. He joined CSU, Chico in 1983 and served in the Departments of Computer Science, Computer Engineering and Electrical and Computer Engineering. He was the first Chair of the Dept of Computer Engineering. He helped to create the first center of the McLeod Institute of Simulation Sciences at Chico in 1986.� He was President of SCS from 1988-90. He is a holder of the SCS Presidential Award for Service to the Society, a Fellow of SCS and of the Institution of Engineering and Technology (UK). In 2001 he initiated a research program on high-speed real-time simulation aimed initially at power electronic systems. This research has been supported by the Office of Naval Research since 2004.
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Detecting Behavioral Patterns from Personalized Ambient Monitoring of Psychiatric Patients
Christopher J. James
Institute of Digital Healthcare, WMG, University of Warwick, United Kingdom
Bipolar disorder (BD) is a mental disorder, characterized by recurring episodes of mania and depression. It is estimated that it effects between 0.4�1.6% of the population. Treatment for BD varies, from pharmacological to therapeutic. Lithium is the first choice given a pharmacological treatment, this acts as a mood stabilizer and reduces the severity of the affective episodes. However, lithium is not effective in around 20�40% of patients, and those who do respond to lithium often report unpleasant side-effects. Other medications, such as anti-psychotics and anti-depressants are a common alternative to lithium.
There are also a number of therapeutic approaches to BD, including social rhythm therapy, cognitive therapy and family therapy. One of the common threads throughout these treatment regimes is the identification and management of early warning signs, so that the patient can identify and deal with the earliest symptoms of an episode. It has been shown that doing this lessens the effect of the episode. Patients who are able to identify and act upon these early warning signs are better able to manage their mood and maintain a more stable health condition. In fact, it is due to this that a large number of people with BD self-monitor their condition, without following any particular therapeutic treatment.
The Personalized Ambient Monitoring (PAM) project has been developed to provide a self-monitoring tool for people with BD that will monitor their behavior patterns and provide alerts when these move outside of the normal patterns of behavior for that person. Such changes would provide a useful tool which could indicate the early symptoms of an affective episode. The PAM system uses a number of discreet sensors, both in the home and in a wearable device, which gather data on the patient�s behavior. This data is then analyzed to derive a normal activity signature for that patient. By comparing new incoming data to the normal activity signature, changes in the patient�s behavior can be identified, and used to issue warnings to the patient.
The PAM project set out to ask two questions regarding the use of Ambient Monitoring with psychiatric patients: 1) Is it possible to obtain, in an automatic, ambient and unobtrusive manner, activity signatures from the mentally ill (BD) that provide information about the trajectory of their health status? And 2) If this is possible; can this information be used to assist in their healthcare?
The types of data being captured includes: location and activity (e.g. via GPS and accelerometers); and environment (e.g. temperature and light levels). Other types of sensor include passive IR sensors (within the home); and sound processing to log the audio �environment�. The use of such monitoring is agreed between the patient and their healthcare team and it is anticipated that different patients will be comfortable with different sensor packages, thus personalizing the monitoring.
This talk will review the progress on the PAM project thus far, giving an overview of the sensing infrastructure used and data processing algorithms developed to extract and assess behavioral patterns in everyday life, in humans.
Christopher James was born in Malta, received the B.Elec.Eng. (Hons) degree in from the University of Malta (1992) and a Ph.D from the University of Canterbury, New Zealand (1997). He was a postdoctoral research fellow at the EEG department of the Montreal Neurological Institute, of McGill University, Montreal, Canada (1997-1998), and a postdoctoral research fellow (1998-2001), and then Lecturer (2001-2003) with the Neural Computing Research Group of Aston University, Birmingham, UK. From 2004-2010 he was a Reader in Biomedical Signal Processing at the University of Southampton, UK. He now holds a chair in Healthcare Technology at the University of Warwick, UK and is Director of the Institute of Digital Healthcare.
Professor James is a biomedical engineer and his research activity centers on the development of biomedical signal and pattern processing techniques, as well as the use of technological innovations, for use in advancing healthcare and promoting well-being. Neural Engineering forms a large part of his work, as to date his work has concentrated on the development of advanced processing techniques applied to the analysis of the electromagnetic activity of the human brain, primarily in Brain-Computer Interfacing. Prof James has published over 150 papers in neural engineering in varied biomedical engineering journals and refereed conferences.
He is currently Chair of the IEEE UK & Republic of Ireland (UKRI) Section, Chair of the IEEE UKRI EMBS Chapter; a member of IEEE the EMBS Administrative Committee (ADCOM) as Europe Representative, and past Chair of the Executive Committee of the IET Healthcare Technology Network.� Professor James is Series Editor for the Biomedical Signals and Systems book series of Artech House Publishers; Editor in Chief of the Open Medical Informatics Journal, Associate Editor� for IEEE TBME and sits on the editorial advisory board of the IEEE Spectrum Magazine. He is Associate Editor of the IEEE EMBS Conference Editorial Board (Neural Engineering Theme) and he has been actively involved in many EMBS committees � mainly on student activities. He has instigated and organises the PGBIOMED series of biomedical engineering student conferences which have taken place from 2003 to date.
Professor James is a Senior Member of IEEE, Fellow of IEE and Fellow of the Royal Society of Medicine.
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Networked Control Systems with Delay
General Secretariat for Research and Technology, Athens, GR
and Kapodistrian University of Athens, GR
National Delegate to ESA
The issue of time-delay is of primary importance in different areas of modern control systems and instrumentation such as power systems, industrial process control including the steel and oil industry, machining and metallurgical processes, remotely operated robots and control over computer networks (or as it is also known Networked Control Systems) to name a few. A Networked Control System (NCS) is a feedback control system where the feedback loops are closed by means of an electronic network. It is well known that Networked (Control) Systems are not subject to the same design assumptions as non-networked systems, a fact that is mainly due to the inevitable presence of network delays and packet drops. In a typical closed-loop NCS, the state is sampled periodically, transmitted through the network, becomes available to the controller, which after computing the control action, transmits the sampled signal to the event-driven actuator after an uncertain or constant but unknown delay. The plant receives this command via a Zero Order Hold device (ZOH) after a delay , which models the sum total of the involved transmission delays. These network-induced delays appear in the information flow between the sensor and the controller (delay ), as well as between the controller and the actuator (delay ), where k denotes the dependence on the kth sampling period
The tutorial will present some technical results and research issues related to Networked Control Systems (NCS�s) suffering networked induced delays.
I. Introduction and Motivation: Firstly a modelling approach with NCS with delay is introduced and a connection with the theory of time delay systems will be established. Secondly, results concerning stability analysis and stabilization of NCS�s will be presented. The efficiency of the proposed methods� will be confirmed via a numerical and realistic example involving a networked DC motor.
II. Connections between Time Delayed and Networked Control systems: Although various system-theoretic methods have been used for the modelling of NCS�s with delays, the most successful ones are sophisticated adaptations of analogous results from the mature area of Time Delayed Systems (TDS). Typical case is the design of a robust state feedback control law which takes into account uncertain induced delays and data packet drops. Related issues from the literature will be discussed.
III. Motivating example of simplified NCS with delay: We will introduce a specific and realistic example involving a networked DC motor which is controlled via a PI controller. The open�loop stable DC motor dynamics with armature voltage as input and angular speed as output are described by a particular transfer function. The associated state space description will be given and sampling issues will be introduced.
IV. �Simulation Results and Discussion: We will provide some analytical simulations concerning the above NCS� and we will comment on the delay free case and the effects on the performance of the controller when delay is introduced.. Additionally in the provided simulations, we will examine the effect of constant delay �on the performance of a linear set-point tracking controller designed via standard LQR theory. The LMI based method will be discussed in connection with the computation of the maximum delay value that guarantees the stability of the delayed system for a given LQR feedback gain K.
V. Robust Stability Criteria and Stabilization: Issues related to the robust stability conditions for Networked Controlled� Systems (NCS) with uncertain, varying, bounded transmission� delays and discrete-time static control laws will be presented.� Links between the robust stability analysis and� a linear matrix inequality (LMI) approach will also be introduced. Further a synthesis procedure for a static control law which not only robustly stabilizes the system against all admissible time�varying network�induced delays but also addresses performance issues expressed via a quadratic cost function will discussed.
VI. Research issues and future developments: This tutorial will conclude with some ongoing research issues and future developments in the field of Networked Control Systems. More specifically we will discuss possible directions from problems arising in the modelling of uncertain NCS�s with random networked - induced delays using Markov models. Also if time permits the usage of the Lyapunov � Krasovskii functional for asymptotic stability of systems with interval time - varying delay will be mentioned.
Dr Vasilis Tsoulkas received his B.Sc. and M.Sc. degrees (with excellence) in Electrical Engineering from the University of Colorado, Denver, U.S.A., in 1986 and 1988 respectively. He also obtained a PhD degree (with excellence) from the Kapodistrian University of Athens, Greece, Division of Informatics and Signal Processing in the field of Nonlinear Systems Identification.� From 2004 to 2005 he held a post-doctorate position at the University of Thessaly, City of Volos (Region of Central Greece), teaching undergraduate signal processing and systems theory courses. Since 2007 he has been working in the broader area of systems theory and control collaborating with the Department of Mathematics of the Kapodistrian University of Athens, Greece and other scientific groups located in Greece and the UK.
Since 1996 he has been employed by the General Secretariat for Research and Technology located in Athens, Greece. From 2004 to 2007 he has served as a substitute national delegate to the board of Human Space Flight and Micro-Gravity of ESA. Since July of 2008 he is� the national delegate to the Joint Communications Board of ESA (JCB/ESA) focusing on activities concerning advanced research strategies and policy making in satellite communications. His duties include the evaluation and approval of R&D academic and industry driven projects related to space and satellite communications as well as the promotion of high added value applications exploiting existing space communications and Earth� Observation infrastructures in the wider region of Greece.� Application areas include: Telemedicine and Patient centered systems integration and services, distant learning and education, advanced sensor networks and surveillance systems for immediate crisis management, border security using satellite imagery, UAV�s. He has also served as an ad-hoc delegate to ESA�s Industrial Policy Committee (IPC) and the� Navigation Program Board for� Galileo, EGNOS and GNSS (Global Navigation Satellite System).
He has published in peer reviewed scientific journals and conferences in the fields of systems integration, identification and control. He has also served as a reviewer for a number of international journals and conferences (IEEE Transaction on Signal Processing, ICASP, e.t.c.). His scientific interests include singular systems and robust control, time delay systems and stability theory as well as signal processing including filtering, estimation and prediction.
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