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February 27, 2007 at 7:05 pm |
We need partners for our research
Description
Equipment fault diagnosis plays an important role in building services, public utilities, transportations, manufacturing, and printing industry. It represents productivity, product quality and life of machinery. However, the present diagnostics tools are complicated, expensive and incapable of detecting randomly occurred faults. Therefore, many failure warning could be missed and ultimately, lead to fatal breakdown of equipment and human casualities. Fault diagnosis and prognosis system share a number of operating and design characteristics: • These systems are data centric. Monitoring and analysis of sensor data and domain specific knowledge is critical to diagnostic process. • They typically require complex interactions among multiple agents or stakeholders. • They are often distributed. • They need to provide supporting or qualifying evidence for the diagnosis or prognosis offered. • They can be businces critical, and typically have stringent dependability requirements. The emerging Grid computing paradigm appears to offer an inherently practical framework in which to build and manage sytems to meet these requirements. The Grid is a name that was first coined in 1990s to describe a vision for a distributed computing infrastructure for advanced science projects. Now the third generation grid is combining service-oriented architecture concepts and Web services technologies to create Open Grid Services Architecture(OGSA). According to OGSA, a grid service is basically a Web service, which is a set of internet based distributed processes. Now the promise of Grid services is to enable a distributed environment in which any number of applications can interoperate seamlessly among organizations in a platform-neutral, language-neutral fashion on the Grid. Since the fault diagnosis and prognosis systems are data centric and often distributed the emerging Grid Computing paradigm appears to be an efficient practical framework for building this Smart Condition Monitoring System. The Grid-enabled Smart Condition Monitoring Systems is composed of various state-of-the-art techniques such as grid-computing, wireless and mobile communication and rigorous soft-computing techniques for practical and effective equipment health monitoring and prognosis. It is a low-cost, protable, versatile, and easy-to-use system and can perform equipment health monitoring either on-site or remotely via the internet, wireless or mobile communication. Research methodology The architecture of this Grid-enabled Smart Condition Monitoring Systems allows users to consolidate performance data of their geographically dispersed equipments. Once consolidated, the system will use data mining techniques to effectively mine knowledge from equipment performance data which will then be passed on to an intelligent decision-making and autonomous learning system. Several technologies will be utilized and developed in this endeavor, namely: 1.Remote Condition Monitoring System. 2.Autonomous Intelligent Learning (Artificial Intelligence) System (AILS). 3.Grid Computing (GC). Data mining techniques are based on soft-computing (AI) techniques such as fuzzy logics, neural networks, evolutionary optimization, to name a few. These techniques are used to obtain outcomes of data mining such as: 1. Feature extraction from sensor data. 2. Fault diagnosis and classification of machine failure modes. 3. Remaining useful life prediction or time-to-failure prediction. 4. Confidence interval of prediction Utilizing our core technology, the system will then predict potential imminent equipment failure. In this novel system architecture, complete diagnosistics and prognostics are implemented. The role of the diagnosistic and prognostic algorithms is to provide conitnious on-line fault detection, time-to-failure information and prediction confidence intervals. The research outcomes includes an innovative electronic accelerometer and acoustic sensors for equipment fault maintenance, an internet/intranet based remote equipment monitoring and worldwide collaborative maintenance, cost-effective virtual instruments for maintenance, an intelligent equipment remnant life evaluation and prediction system. To support the machine fault diagnostics and prognostics, a methodology is proposed to integrate the suites of modeling, estimation and analysis tools for fault diagnosis and prognosis on the Grid. The advantages of providing the fault diagnosis using Grid service identified by a URI, whose public interfaces and bindings are defined and described using XML. Grid service can be invoked simultaneously in different “Virtual Organisations” for different applications. Furthermore the service itself is distributed among a set of high-performance computers on the Grid.
Please, contact me: ckloo@mmu.edu.my
February 27, 2007 at 7:08 pm |
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Project: An Unitary Theory and Practical Applications for Determination of Risk Level in Information Systems by using Optimize Algorithms and Neural Networks Approach
Name: Nicolae POPOVICIU , Floarea BAICU
Position: Professor
Gender: Male
Laboratory_University: Hyperion University of Bucharest
Country: Romania
Email: nic.popoviciu@yahoo.com
Description
Description THE PROJECT FOLLOWS MANY ASPECTS. THESE ARE RIGUROUS AND LOGICAL LINKED IN AN UNITARY THEORY. 1. RISK LEVEL DETERMINATION FOR EACH EQUIPMENT FROM A INFORMATIC SYSTEM, FOR EACH PROGRAM AND USER. THAT IS A START POINT TO IMPLEMENT SECURITY EXTENTS IN ORDER TO REDUCE THE THREATS IMPACT AGAINST ANY ACTIVITY OF ANY ORGANIZATION INFORMATIC SYSTEM. 2. CREATING AN UNITARY AND RIGOROUS METHODOLOGY FOR SECURITY EXTENTS PLAN. SECURITY EXTENTS RESOLUTION IS TAKEN RIGOROUSLY AFTER LABORIOUS DETERMINATIONS AND IT IS REASONABLE IN CASE OF RESIDUAL RISK IS ACCEPTED BY MANAGER. THEY TAKE CARE OF IMPLEMENTATION EXPENSES IN ORDER TO REDUCE RISK AND TO RECOVER THE BUSINESS IN CASE OF DISASTER. 3. CREATING A MATHEMATICAL MODEL THAT IS ABLE TO GUARANTEE THE OPTIMAL ACCOMPLISH OF DESIRES FROM POINTS WE HAVE DISCUSSED BEFORE. THE MATHEMATICAL APPARATUS IMPLIES ANALITICAL GEOMETRY OF PLANE CURVES SOLVED THROUGH EXPLICITE OR PARAMETRIC ECQUATIONS. BASE CURVE IS RISK ACCEPTANCE CURVE. OTHER CURVES ARE PARALLEL TO BASE CURVE, CORRESPONDING TO THE INTERNATIONAL REFERENCE STANDARD AND ARE USED IN PARAMETRICAL FORMS. IF THE PARAMETRES NUMBER IS VERY BIG THEN THE MODEL BECOMES TOO COMPLEX AND MUST USE ARTIFICIAL NEURAL NETWORKS BASED ON A DECREASING GRADIENT. 4. TO ELABORATE THE APPROPRIATE ALGORITHMS AND COMPUTER PROGRAMS AND TO VALIDATE THEM THROUGH INFORMATIC PILOT SYSTEMS. THE TEAM RESEARCH HAS A GOOD COMPETENCE IN RISK LEVEL VALUATION AND ARTIFICIAL NEURAL NETWORKS THEORY.
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Project: QUANTUM BRAIN RESEARCH FOR HUMANOID
Name: Dr. LOO CHU KIONG
Position: Senior Lecturer, Chairman
Gender:
Laboratory_University: Robotics & Automation (CRA ) Multimedia University
Country: Malaysia
Email: ckloo@mmu.edu.my
Description
The distinctive mission of the Center for Robotics and Automation (CRA) in its current phase is thus it to study, design and build robots able to perform able to perform complex tasks, to learn from examples and experience, to associate past and present situation, to predict the outcome of actions and act consequently and to communicate in meaningful, “natural” way and to express emotions and act socially. These are all capabilities seen in the creatures of the natural world, which requires some serious research to duplicate in the machine. This mission requires the parallel, synergic development of bodyware technologies in fields such as micro-mechatronics, solid state sensors, electric, hydraulic, pseudo-elastic actuators, advanced materials, computational architectures, embedded systems, innovative power supply as well as mindware technologies such as recognition and generalization, reasoning, learning and memory and cognitive processes. With this idea in mind, the CRA focuses on studying, designing and building at an unprecedented level of resolution “intelligent systems” in their widest sense. Researchers at CRA will also study natural systems to transfer biological solutions into new technologies. Figure 1 depicts the hypothetical neural circuits of humanoid brain. A very ambitious target of CRA is the understanding of the rules and cellular mechanisms underlining the modification of neuronal connectivity (humanoid brain) triggered by environmental changes. This research should lead to the design of humanoids with the capability to learn and adapt to the environment. The CRA strategy can be condensed into the following two areas of activities: 1. Humanoid Research – Design and build artificial systems that can perceive act and learn autonomously, whilst also being able to interact with humans in a natural way. 2. Interaction Research – Interface threes systems to humans, for example through teleoperation, telepresence and gesture, up to the frontier of direct connection to the nervous system. In a telepresence functional context the human operator controls the execution of a task that is being performed remotely by a robot. Telepresence conditions are obtained through interfaces between humans and robots conveying not only rich sensory information from the robot itself but also very realistic data about the environment. Systems of this kind are said to give the operator the “sense of being there” or the sense of presence. Also in this case a strong link is evident with the study of human perception on one side and the implementation of the humanoid sensorimotor system on the other. Figure 2 shows the teleprensence architecture of humanoid robot. The idea of designing a traditional information processing system based on the traditional sequential system to act as a brain for the humanoid machine has turned out to be an unsolvable problem. To achieve a level of artificial intelligence that allows the humanoid machine to mimic the skillful behavior that we observe in animals and the human being, the humanoid would have to be equipped with brain-inspired information processing systems. The biological brain comprises of very large numbers of comparatively slow, low precision analog neurons. Our current VLSI technology, which is oriented toward the fabrication of only moderately large numbers of precisely wired, fast, high-precision digital devices is unlikely to lead to neurocomputers approximating the 15 million neurons/cm2 density of a mammalian cortex. Therefore, the idea of quantum mechanical computational device emerged when scientists were pondering the fundamental limits of computation. Since the physicist Richard Feymann began to investigate the possibility of having a quantum computing machine, quantum computing models (e.g., http://www.qubit.org) are now widely researched and is experiencing a huge amount of developments with respect to both algorithm and implementation research. Quantum computing would be very much faster, significantly miniaturized, and would be able to solve problems which are practically unsolvable by classical computers. The idea of quantum computation can be understood from the theory of information and theory of computation. After all, what is information? Well, whatever it is, it is something that can be encoded and stored in the state of physical system. And since we live in a world that is fundamentally quantum-mechanical, that means that information is something that can be encoded in a quantum state. And what is computation? Well, it is something that can be carried out on an actual physically realizable device. And in our quantum-mechanical world, that means a device that evolves according to the laws of quantum dynamics. Therefore, a quantum computer is a computer that makes essential use of quantum-mechanical principles. The first reason that we are excited about the idea of quantum computing is that quantum computers can in principle solve hard problems, problems so difficult that they are beyond the reach of foreseeable digital computers. Second, the notion of a quantum computer is not merely a mathematical abstraction. Real hardware can be constructed, and effort is underway in several laboratories to build rudimentary quantum computing devices. There are however, several problems with quantum computing. The main problem of using quantum systems is to choose an algorithmic model which is compatible with quantum laws. As some may know, quantum mechanics dictates that there is no way to fully measure the state of a quantum system. This and other specific properties of quantum systems must be taken into account. Furthermore, a very serious obstacle must be overcome if quantum computers are ever to be computers – quantum computers are much more prone to making errors than conventional computers, and a method must be found to control these errors for a quantum computer. This is known as quantum error correction. Another challenge for quantum computing is to implement the classical Turing-based logic-gate computing in quantum systems. This is a major branch of research in quantum computing. What this basically means is that a mathematical model has to be developed to allow the calculations that currently functions in our semiconductor-based computers to also work in the quantum computers of the future. The benefits of quantum computing however are numerous. If we can achieve a usable quantum computing model which is essentially a very simple system, we can achieve a greatly improved level of miniaturization and implement fast quantum devices without logic gates. Our recent research work shows that the quantum neural networks we proposed is in principle, be realized without need for special devices, except for encoding and decoding using personal computer. In addition, no special mechanisms are needed for quantum error-correction, since it is done spontaneously by the quantum neural network’s learning process. This has important consequences for foundations of physics and informatics as well as humanoid intelligence research. One of many possible applications is quantum object recognition for humanoid robot.
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Project: GRID-ENABLED SMART CONDITION MONITORING SYSTEMS
Name: Dr. LOO CHU KIONG
Position: Senior Lecturer, Chairman
Gender: Male
Laboratory_University: Robotics & Automation (CRA ) Multimedia University
Country: Malaysia
Email: ckloo@mmu.edu.my
Description
Equipment fault diagnosis plays an important role in building services, public utilities, transportations, manufacturing, and printing industry. It represents productivity, product quality and life of machinery. However, the present diagnostics tools are complicated, expensive and incapable of detecting randomly occurred faults. Therefore, many failure warning could be missed and ultimately, lead to fatal breakdown of equipment and human casualities. Fault diagnosis and prognosis system share a number of operating and design characteristics: • These systems are data centric. Monitoring and analysis of sensor data and domain specific knowledge is critical to diagnostic process. • They typically require complex interactions among multiple agents or stakeholders. • They are often distributed. • They need to provide supporting or qualifying evidence for the diagnosis or prognosis offered. • They can be businces critical, and typically have stringent dependability requirements. The emerging Grid computing paradigm appears to offer an inherently practical framework in which to build and manage sytems to meet these requirements. The Grid is a name that was first coined in 1990s to describe a vision for a distributed computing infrastructure for advanced science projects. Now the third generation grid is combining service-oriented architecture concepts and Web services technologies to create Open Grid Services Architecture(OGSA). According to OGSA, a grid service is basically a Web service, which is a set of internet based distributed processes. Now the promise of Grid services is to enable a distributed environment in which any number of applications can interoperate seamlessly among organizations in a platform-neutral, language-neutral fashion on the Grid. Since the fault diagnosis and prognosis systems are data centric and often distributed the emerging Grid Computing paradigm appears to be an efficient practical framework for building this Smart Condition Monitoring System. The Grid-enabled Smart Condition Monitoring Systems is composed of various state-of-the-art techniques such as grid-computing, wireless and mobile communication and rigorous soft-computing techniques for practical and effective equipment health monitoring and prognosis. It is a low-cost, protable, versatile, and easy-to-use system and can perform equipment health monitoring either on-site or remotely via the internet, wireless or mobile communication. Research methodology The architecture of this Grid-enabled Smart Condition Monitoring Systems allows users to consolidate performance data of their geographically dispersed equipments. Once consolidated, the system will use data mining techniques to effectively mine knowledge from equipment performance data which will then be passed on to an intelligent decision-making and autonomous learning system. Several technologies will be utilized and developed in this endeavor, namely: 1.Remote Condition Monitoring System. 2.Autonomous Intelligent Learning (Artificial Intelligence) System (AILS). 3.Grid Computing (GC). Data mining techniques are based on soft-computing (AI) techniques such as fuzzy logics, neural networks, evolutionary optimization, to name a few. These techniques are used to obtain outcomes of data mining such as: 1. Feature extraction from sensor data. 2. Fault diagnosis and classification of machine failure modes. 3. Remaining useful life prediction or time-to-failure prediction. 4. Confidence interval of prediction Utilizing our core technology, the system will then predict potential imminent equipment failure. In this novel system architecture, complete diagnosistics and prognostics are implemented. The role of the diagnosistic and prognostic algorithms is to provide conitnious on-line fault detection, time-to-failure information and prediction confidence intervals. The research outcomes includes an innovative electronic accelerometer and acoustic sensors for equipment fault maintenance, an internet/intranet based remote equipment monitoring and worldwide collaborative maintenance, cost-effective virtual instruments for maintenance, an intelligent equipment remnant life evaluation and prediction system. To support the machine fault diagnostics and prognostics, a methodology is proposed to integrate the suites of modeling, estimation and analysis tools for fault diagnosis and prognosis on the Grid. The advantages of providing the fault diagnosis using Grid service identified by a URI, whose public interfaces and bindings are defined and described using XML. Grid service can be invoked simultaneously in different “Virtual Organisations” for different applications. Furthermore the service itself is distributed among a set of high-performance computers on the Grid.
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Project: Parametric Identification of Object-Oriented Models for Mechatronic Systems
Name: Silvio Simani
Position: Assistant Professor
Gender: Male
Laboratory_University: Department of Engineering, University of Ferrara
Country: Italy
Email: ssimani@ing.unife.it
Description
SCIENTIFIC BACKGROUND Object-orientation represents a cardinal principle for several modelling, analysis and design methodologies for complex systems, developed in many different application domains. In fact, the term “object-oriented” has been introduced within the Software Engineering discipline, in order to address design and programming techniques based on the definition of modular systems, composed of a set of interacting elements. However, the conceptual approach of these techniques is applicable also to model complex dynamical systems, like those composed of heterogeneous physical elements (mechanical components, electrical circuits, etc.), or to model and design modular and distributed control systems. In each one of the mentioned application domains, the object-oriented approach permits to face the difficulties that arise when modelling or designing large and complex systems, thanks to the decomposition of the complete system into simpler sub-systems or to the reuse of basic components previously obtained. Moreover, object-orientation allows to define the features and the behaviour of all the identical components, by means of their typing classification, and to create new types through the extension of pre-existing types with additional features or refined behaviour. The growing interest of the industry in modelling and design methodologies based on the object-oriented approach, even for Industrial Automation applications, has been one of the most important motivating reasons for the researches carried out at the Department of Engineering of the University of Ferrara, related to the development of formal methodologies for the design and verification of logic controllers for manufacturing systems. During this research activity, as reported in the publications of the bibliography, it has been formally defined an extension of the object-oriented modelling language UML (Unified Modelling Language), in order to support the design of complex distributed logic control systems and their verification with Model Checking techniques. Recently, that language has been further extended in order to include also the possibility to model the dynamics of physical systems, by means of the mathematical formalization of the structure, the interconnection and the behaviour of an object-oriented system as a Port-Hamiltonian system. In the mathematical model of a Port-Hamiltonian system, two approaches are combined: the Hamiltonian approach, which has its roots in analytical mechanics and in the Hamiltonian equations of motion, and the network approach, based on the theory of electrical circuits and the Kirchhoff’s principles. By combining these approaches, the Port-Hamiltonian framework allows to describe physical systems of any kind, even if their components stem from different physical domains, since each element of a system is classified, independently of its nature, as an energy storing element, which therefore stores also an information of the state of the system, an energy dissipating element or a source of energy, and the interaction between components is given by the exchange of energy through a generalized interconnection network. Thanks to the introduction of these concepts in the unified language defined during the research activity mentioned before, it is therefore possible to model both the continuous dynamics of a physical system and the discrete events dynamics of a logic control system interacting with the physical plant, keeping at the same time an object-oriented vision of the complete system. The proposed approach allows, on one hand, to define in a modular and extensible way the interconnection of physical sub-systems and logic control modules, but, on the other hand, requires to formalise the closed-loop system as an hybrid system and, therefore, to apply analysis and verification techniques specifically designed for systems with hybrid dynamics. The most interesting application domain for the modelling techniques described before is certainly the one concerned with automated systems for the manufacturing industry. In this domain, the physical plants controlled by automation systems are often characterized by heterogeneous nature, such that they are typically referred to as “mechatronic” systems. When considering complex mechatronic systems, the object-oriented approach permits to obtain several benefits during both modelling and simulation activities and control design activities. Nevertheless, even if the structure and the interconnection of sub-systems of a manufacturing machine can be, in general, precisely defined, it is not equally simple to set the numerical parameters characterizing its dynamics, like, for example, friction coefficients, size of backlash effects and so on. The estimation of uncertain parameters for complex mechatronic systems is an important problem that must be solved in order to apply the proposed modelling techniques to practical case studies, although this aspect is not exhaustively addressed by the current literature related to Port-Hamiltonian systems. For example, some approaches described in the literature related to parameter identification for dynamic processes are based on Bond Graphs, but not on their formalization in terms of Port-Hamiltonian systems, or on piecewise affine models or hybrid models. Since 20 years, several research studies concerning modelling, identification and parameter estimation techniques for dynamic systems have been carried on at the Engineering Department of the University of Ferrara. In these researches several kind of mathematical descriptions have been used, including: linear multivariable models, multi-structural models, bilinear models, compartmental models, EIV (errors-in-variables) models. Thanks to the cooperation with several national and international research centres and Italian companies, these techniques have been applied within different fields, in order to model: oil recovery processes, eutrophication phenomena of the Adriatic Sea, induction motors, electromagnetic fuel injector, heat exchangers, distillation columns, gas turbines and gas storage processes. Furthermore, whenever the system under study is characterized by a nonlinear dynamics, fuzzy systems and piecewise affine models have been successfully exploited. Some of the models identified in the mentioned references, in particular those concerning industrial applications, have been adopted for the design of automatic fault detection and isolation procedures based on the analytical redundancy principle. PROJECT TOPICS Analysis and design of many engineering systems require the knowledge of accurate mathematical models, for both the simulation and the synthesis of suitable control laws. By following an object-oriented approach and, in particular, by using the modelling language proposed in the scientific background and its mathematical formalization as a Port-Hamiltonian system, the process under investigation can be described as a set of multiple domain sub-systems (electrical, mechanical, hydraulic, thermal, etc.) exchanging energy and information by means of a generalized interconnection network. In order to study the behaviour of some of these subsystems it is important to understand the dynamic aspects related to energy flows, subject to the basic principles of physics and chemistry (Kirchhoff’s laws, mass conservation, energy balance, etc.). Other sub-systems are instead related to signal processing, which means that the exchange of energy does not affect with a dominant role their dynamic behaviour. Control systems are usually belonging to this kind of subsystems, which are implemented in most industrial applications by means of software programs for digital devices. The proposed approach to the modelling of complex mechatronic systems allows to obtain several benefits. The models of many components of the system under study can be described with a unified language, organized into libraries and classified according to the assumptions describing their validity context. These components can be thus reused for the modelling of other systems, tuning if necessary their characteristic parameters. Moreover, the system modelling process can be also iteratively developed, by means of subsequent refinement steps and by including additional components. Nevertheless, in order to achieve a meaningful and realistic simulation of a dynamic system, it is necessary that the numerical parameters characterizing each component of the system are as much as possible consistent with those of the actual process under investigation. This aspect is particularly important both for the validation of the model itself and the verification of designed control laws against the required specifications. The research group of the Department of Engineering of the University of Ferrara will employ the experience learned during its research activity, related to modelling, identification and parameter estimation of dynamic systems, in order to contribute to the object-oriented modelling of mechatronic systems and their controllers. In particular, the research group of Ferrara plans to focus its studies on the components of industrial machineries for manufacturing processes, starting from models characterized by a given structure and by parameters directly related to physical laws. Moreover, the research group of Ferrara will investigate which numerical techniques are most suitable for the estimation of sub-system parameters. Particular care will be given to those parameters that cannot be measured directly, (e.g., friction coefficients, backlashes, stiffness coefficients, inertia, wear and expansion) or, in any case, that need periodic adjustments. The simulation of the mechatronic sub-systems with the estimated parameters will have to provide a dynamic response able to fit as much as possible real experimental data. It is important to note that parameter identification procedures will be executed for models with constrained structure, which are always derived with simplifying hypothesis and, therefore, may neglect some minor dynamic effects (turbulences, cavitations, thermal effects, etc.). More precisely, within the modelling methodology proposed by this research project, the activity of the research group of the University of Ferrara will take care of the following aspects: (1) Analyse and define the most suitable numerical techniques to estimate parameters characterizing sub-elements of object-oriented models for physical systems, with particular regard to parameters not directly measurable or that may have a slow time-dependence and, therefore, may require periodic update of the estimation. These parameter estimation techniques, together with the assumptions that characterize their reliability, are of fundamental importance in order to guarantee the reusability of sub-models in further applications. (2) Define and formalize the approximation of sub-systems with nonlinear dynamics by means of “piecewise linear” or “piecewise affine” models. Piecewise linear or affine systems are dynamic models characterized by a switching function which, according to the operating conditions of the system, selects the linear or affine differential equation that approximate more appropriately the nonlinear dynamics. For this research topic, the focus will be on the numerical evaluation of the accuracy of the approximation of the nonlinear behaviour of physical sub-systems. (3) Investigate the diagnostic capabilities of the object-oriented models as well as the fault tolerance properties of the designed control systems in presence of identified faults. The object-oriented modelling methodology, supported by the techniques described in the items (1) and (2) of the previous list, will be applied on case studies derived from real industrial applications, in order to verify not only the consistency between experimental data and simulation results obtained with the proposed models, but also the actual benefits that the proposed methodology may offer to industrial control engineers, with particular regard to modularity and reusability of model components.
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Project: Model-Based Fault Diagnosis in Dynamic Processes Using Identification Techniques
Name: Silvio Simani
Position: Assistant Professor
Gender: Male
Laboratory_University: Department of Engineering, University of Ferrara
Country: Italy
Email: ssimani@ing.unife.it
Description
SCIENTIFIC BACKGROUND Nowadays the control of dynamic systems has reached so high complexity degree that any single failure occurring in components or machinery parts of the process can waken plant safety or damage the entire system. Considerations like above raised a great concern on Fault Diagnosis and Identification (FDI) problem in scientific and industrial fields. In particular, in scientific field, analytical redundancy methodology has been employed to detect faults on sensors, actuators and plant components. Analytical redundancy methodology is based on the availability of a mathematical model of the supervised system. The difference between the real system and the model (observer) outputs, namely residual signal, is treated as a fault indicator and is used to locate the fault sources by means of an adequate processing . The current studies had carried on some researches in the FDI field, in particular studying actuators and sensors fault detection and isolation by means of Kalman Filters, Unknown Input Observer, Neural Networks and Fuzzy Systems. Some of those researches had been developed through international collaborations (Prof. R.J. Patton, Hull University and Prof. M. Grimble, University of Strathclyde, Glasgow, UK). Some of the algorithms developed to solve the FDI problem have been also tested on data from real plants in collaboration with Nuovo Pignone (General Electric), and ABB (Alstom Power). Notwithstanding large interest and effort of several researchers in solving FDI problems, several issues still open at best of proponents’ knowledge in both residual generation and fault identification. RESEARCH TOPICS Using the existing work as starting point, the research program of the Ferrara group has been investigated the effectiveness of these methods when applied to complex processes, such as navigation systems of Unmanned Aerial Vehicles (UAV), industrial gas turbine and chemical processes, where both the hardware and analytical redundancy exist. In Fault Detection and Isolation of such systems great care will be given to the integrity and the robustness of the solution processing architecture. Furthemore a design methodology will be developed to identify directly residual generators of minimal order with robustness properties as regards the noise corrupting the data. More in detail, the research group of Ferrara would design diagnosis systems able to detect and isolate situations of emergency linked to faults that seriously affect the performance of the subsystems of a dynamic process The following aspects will be considered in the project of the diagnosis systems: (1) Developing a methodology devoted to the identification of the “fault model”, i.e. the relationship between the input-output data of the monitored system and the fault location and magnitude. (2) Studies concerning the use of linear filters to generate residual signals, with particular emphasis on the robustness versus modelling errors and noise coupled to acquired data. (3) Developing algorithms exploiting Hybrid models, Neural Networks, models and Fuzzy models for FDI in processes with non-linear behaviour. The programme described above aims to develop new methodologies in FDI field that are not yet exhaustively explored at the best of proponents’ knowledge. In particular, the item (1) exhibits innovative characteristics with respect traditional FDI methodologies. In substance, the idea aims to integrate in only one step the analytical model of the monitored process with the design of the diagnostic system. The ultimate goal is to obtain a mathematical model connecting directly input and output of the monitored system with the fault indicators. As major advantages of this methodology, it can be noted that explicit model of the monitored system is not necessary. This characteristic can interest in many applications, where mathematical models can be uneconomical or simply difficult to be developed. A second important feature expected is the direct availability of occurred fault location and magnitude. Regarding the item (2), the study will be focused on the robustness characteristics versus modelling error and noise affecting acquired data (false alarm rejection). Classical and recently developed methodologies for the identification of parametric linear models, with high and low signal to noise ratio, will be developed in connection with this research topic. The work related to the item (3) aims to develop observers on the basis of hybrid models using affine submodels, identified in different work conditions of the non-linear process under investigation. Moreover residual signals will be generated on the basis of statistical methods, Fuzzy Logic and Neural Network. In particular, the goal consists in achieving either the identification of the fault (i.e. the fault location) and quantitative estimation of the fault itself. This characteristic requires the determination of an accurate residual processing procedure, so that even small variation from nominal working condition (small faults) will be detected. Such procedure can be also successful applied to the predictive maintenance problem, in which incipient faults are often announced by small variations from nominal condition.
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Project: Structural Optimization of Laminated Fibre Reinforced Plastic Composites using Genetic Algorithms on Parallel-Platform
Name: Mahesh S. Shah
Position: Team Coordinator
Gender: Male
Laboratory_University: Centre for Development of Advanced Computing
Country: India
Email: mahesh@cdac.in
Description
Fiber reinforced plastic (FRP) composites are extensively used in aerospace, automobile, shipbuilding and other industries due to their inherent advantages of light weight, high strength to stiffness ratio along with the unique feature of tailor make capability. Directional strength can be imparted to a composite component by appropriate selection/design of stacking sequence. A very important issue in the design of laminated FRP composites is to minimize the cost and weight while maximizing the strength of the components. This can be achieved by optimal selection of laminate thickness, ply angles and material of each layer of the laminate. Because of manufacturing constraints, ply angles, ply thicknesses are to be selected from a set of discrete values and the design process becomes a discrete optimization problem. While understanding the behavior and responses of FRP composites subjected to loading is important, equally important is to select an optimum stacking sequence with an objective of maximizing strength, minimizing weight and cost while satisfying other behavioral constraints. Genetic algorithms (GA) are evolution-based approach to arrive at the solution of a given problem. In such a methodology it is possible to conduct a search or optimization through operations that are akin to what happens in biological systems. These algorithms have the advantages of a) evolving a set of solutions instead of a single solution compared to classical optimization methods, b) possibility of evolving the global optimal solutions due to the operators like mutation that facilitates access to any part of the search space, and c) inherent parallelism.
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Project: A fuzzy model-based approach to the analysis and control of general nonlinear systems
Name: Valentina E. Balas
Position: Associate Professor PhD
Gender: Female
Laboratory_University: Aurel Vlaicu University of Arad
Country: Romania
Email: balas@inext.ro, balasv@uav.ro
Description
Recently Sugeno suggested another type fuzzy model to approximate a nonlinear system It is shown that this fuzzy model that can approximate the nonlinear system as precisely as necessary. We have a stability theorem that give necessary and sufficient stability conditions with respect to a quadratic Lyapunov function. This is a great advantage compared to the case of the TS model. However it still remains sufficient, not necessary since we use a quadratic Lyapunov function. We have a new idea to breakthrough this difficulty. That is to use a piece-wise quadratic approximation of a general Lyapunov function. By extending the above fuzzy model, we can obtain this approximation. Mainly we have two tasks; one is to find a computational algorithm to apply this stability conditions and the other is to apply this method to some practical problems.
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Project: Hilbert-type Inequalities and Applications
Name: Bicheng Yang
Position: Professor
Gender: Male
Laboratory_University: Guangdong Education Institute
Country: P.R.China
Email: bcyang@pub.guangzhou.gd.cn
Description
This project is concerning how to use the way of weight coefficient to obtain some improvements and best extensions on the classical Hilbert-type inequalities, and to give more new Hilbert-type inequalities as well as their applications. Professor Bicheng Yang began to do research for Hilbert-type inequalities since 1995. In 1998, by introducing some independence parameters and the Beta function, he made some refinements of Lizhi Xu’s way of weight coefficient and gave some best extensions of Hardy-Hilbert’s inequality. Since then, some multiple Hilbert’s inequalities, a number of more accurate Hilbert-type inequalities, the dual Hilbert -type inequalities, the reverse Hilbert-type inequalities and a lot of new Hilbert-type inequalities with two indexes of conjugate parameters are obtained by him and his accompaniers. In 2006, he first expressed a class of Hilbert-type inequalities by the operator theory (publication in JMAA, cf. [10]). Now, he has published more 150 papers in the mathematical journals. Among them, there are 100 papers published in the journals of fremdness and kernel journal of homeland (including 27 papers embodied by SCI and 11 papers published in the Chinese authority of journals, such as《Acta Mathematica Scinica》(6),《Chinese Annals of Mathematics (A)》(3), and《Advances in Mathematics》(2) ).The following is his magnum opus: 1. On Hilbert’s integral inequality, J. Math. Anal. Appl.,1998,220,778-785. 2. On extended Hilbert’s inequality, Proc. Amer. Math. Soc.,1998,126(3), 751-759. 3. On a strengthened version of the more accurate Hardy- Hilbert’s inequality, Acta Mathematica Sinica,1999,42 (6),1103-1110. 4. On the extended Hardy-Hilbert’s inequality ,J. Math. Anal. & Appl.,2002,272, 187-199. 5. On a multiple Hardy-Hilbert’s integral inequality, Chinese Annals of Mathematics, 2003, 24A(6),743-750. 6. On the way of weight coefficient and research for the Hilbert-type inequalities, Math. Inequal. Appl., 2003, 6 (4),625-658. 7. On new extension of Hilbert’s inequality, Acta Math. Hungar., 2004,104(4), 291-299. 8. On a relation between Carleman’s inequality and Van der Corput’s inequality , Tawanese Journal of Mathematics, 2005,9(1),143-150. 9. A dual Hardy-Hilbert’s inequality and generalizations. Advances in Math., 2006,35(1), 102-108. 10. On the norm of an integral operator and applications. J. Math. Anal. Appl., 2006, 321, 182-192.
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Project: Hilbert-type Inequalities and Applications
Name: Bicheng Yang
Position: Professor
Gender: Male
Laboratory_University: Guangdong Education Institute
Country: P.R.China
Email: bcyang@pub.guangzhou.gd.cn
Description
Decription: This project is concerning how to use the way of weight coefficient to obtain some improvements and best extensions on the classical Hilbert-type inequalities, and how to give more new Hilbert-type inequalities as well as their applications. Professor Bicheng Yang began to do research for Hilbert-type inequalities since 1995. In 1998, by introducing some independence parameters and the Beta function, he made some refinements of Lizhi Xu’s way of weight coefficient and gave some best extensions of Hardy-Hilbert’s inequality. Since then, some multiple Hilbert’s inequalities, a number of more accurate Hilbert-type inequalities, the dual Hilbert -type inequalities, the reverse Hilbert-type inequalities and a lot of new Hilbert-type inequalities with two indexes of conjugate parameters are obtained by him and his accompaniers. In 2006, he first expressed a class of Hilbert-type inequalities by the operator theory (publication in JMAA, cf. [10]). Now, he has published more 150 papers in the mathematical journals. Among them, there are 100 papers published in the journals of fremdness and kernel journal of homeland (including 27 papers embodied by SCI and 11 papers published in the Chinese authority of journals, such as《Acta Mathematica Scinica》(6),《Chinese Annals of Mathematics (A)》(3), and《Advances in Mathematics》(2) ).The following is his magnum opus: 1. On Hilbert’s integral inequality, J. Math. Anal. Appl.,1998,220,778-785. 2. On extended Hilbert’s inequality, Proc. Amer. Math. Soc.,1998,126(3), 751-759. 3. On a strengthened version of the more accurate Hardy- Hilbert’s inequality, Acta Mathematica Sinica,1999,42 (6),1103-1110. 4. On the extended Hardy-Hilbert’s inequality ,J. Math. Anal. & Appl.,2002,272, 187-199. 5. On a multiple Hardy-Hilbert’s integral inequality, Chinese Annals of Mathematics, 2003, 24A(6),743-750. 6. On the way of weight coefficient and research for the Hilbert-type inequalities, Math. Inequal. Appl., 2003, 6 (4),625-658. 7. On new extension of Hilbert’s inequality, Acta Math. Hungar., 2004,104(4), 291-299. 8. On a relation between Carleman’s inequality and Van der Corput’s inequality , Tawanese Journal of Mathematics, 2005,9(1),143-150. 9. A dual Hardy-Hilbert’s inequality and generalizations. Advances in Math., 2006,35(1), 102-108. 10. On the norm of an integral operator and applications. J. Math. Anal. Appl., 2006, 321, 182-192.
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Project: TAKAGI-SUGENO FUZZY SYSTEMS AND ITS HYBRIDIZATION FOR MODEL BASED CONTROL DESIGN OF DYNAMIC SYSTEMS
Name: Ginalber Luiz de Oliveira Serra
Position: Full Time Researcher
Gender: Male
Laboratory_University: Santiago University of Chile
Country: Chile
Email: gserra@lauca.usach.cl
Description
The implementation of computational intelligence techniques such as Neural Networks, Fuzzy Systems and Genetic Algorithms, and its hybridization, mainly from the 70’s, combined to modeling and control classical techniques, has made possible the modeling and control of complex industrial processes, as well as the treatment of restrictions and satisfaction of stability and robustness requirements. This is due to the increasing of the necessity to improve the efficiency of industrial processes in the quality of its products, and the treatment of deficiencies of the modeling and control classic methods. In Wang et. all. [1], a fuzzy model based controller is designed, using the concept of Parallel Distributed Compensation, using linear matrices inequalities, LMI’s, to guarantee closed loop stability and robustness. In Cho et. al. [2], a parameters estimator is developed to obtain a fuzzy model of a monovariable nonlinear dynamic system. With the parametric estimation scheme incorporated to the controller, an indirect reference model adaptive fuzzy controller is proposed for asymptotic tracking of reference trajectories for an uncertain and time varying dynamic system, in order to guarantee that all signals of the closed loop system are limited. In Kadmiry & Driankov [3], a gain scheduling fuzzy control design is developed to guarantee stability and robustness in the control of attitude in a helicopter. In Blank & Dente [4], are investigated the effect of the white noise in intelligent modeling using the Mamdani fuzzy inference system, where decisions about the choice of relevant membership functions are taken for attenuation of the noise on the experimental data and better representation of the input and output nominal relation. In Serra & Bottura [5] a new methodology of instrumental variable was proposed: fuzzy instrumental variable. This contribution, the concept of fuzzy instrumental variable, together with one theorem and three lemmas for convergence conditions of the fuzzy instrumental variable algorithm for identification of nonlinear dynamic systems are also proposed in Serra [6]. Fuzzy instrumental variable algorithms, for SISO (Single-Input and Single-Output) and MIMO (Multiple-Input and Multiple-Output) dynamic systems, have shown consistency, high speed of convergence and tracking of the time varying output in a noisy environment (Serra & Bottura [7] [8]), important characteristics to develop model based control methodologies that is still opened. The effect of noise in the experimental data for fuzzy modeling of discrete time dynamic systems and the implementation of enough robust algorithms for recursive estimation of the consequent parameters of the Takagi-Sugeno fuzzy inference system exploring its hybridization with neural network and/or genetic algorithms are still open too. The hybridization of the computational intelligence techniques and its application to adaptive control design presents practical importance and several proposals are still in development[9]. The satisfaction of performance criteria, the guarantee of robustness to uncertainties and nonlinearities, the stability of the closed loop dynamic system, as well as the generation of restrictions and/or control laws from an expert for performance optimization, have motivated the proposals of new configurations of intelligent model based control methodologies. This research project intends to present contributions in these opened contexts. [1]. Wang, H.o., Tanaka, K. and Griffin, M.F. An Approach to Fuzzy Control of Nonlinear Systems: Stability and Design Issues. IEEE Transactions on Fuzzy Systems, Vol. 4, No.1, February, 14-23, 1996. [2]. Cho, Y.-W., Park, C.-W. and Park, M. Indirect Model Reference Adaptive Fuzzy Control for SISO Takagi-Sugeno Model. Fuzzy Sets and Systems, Vol. 131, 197-215, 2002. [3]. Kadmiry, B. and Driankov, D. A Fuzzy Gain-Scheduler for the Attitude Control of an Unmanned Helicopter. IEEE Transactions on Fuzzy Systems, Vol.12, No.3, August, 502-515, 2004. [4]. Branco, P.J.C. and Dente, J.A. Noise Effects in Fuzzy Modeling Systems: Three Case Studies. Computational Intelligence and Applications: World Scientific and Engineering Society Press, Danvers, USA, 103-108, 1999. [5]. Serra, G.L.O. and Bottura, C.P. Fuzzy Instrumental Variable Concept and Identification Algorithm. IEEE International Conference on Fuzzy Systems, Indicated for best paper, 1062-1067, 2005. [6]. Serra, G.L.O. Proposals of Methodologies for Intelligent Identification and Control. Doctoral Thesis, UNICAMP/FEEC-DMCSI, Campinas-SP Brasil, September 2005. [7]. Serra, G.L.O. and Bottura, C.P. An IV-QR Algorithm for Neuro-Fuzzy Multivariable Identification. IEEE Transactions on Fuzzy Systems, Accepted(In Press), 2006. [8]. Serra, G.L.O. and Bottura, C.P. An Algorithm for Fuzzy Identification of Nonlinear Discrete-Time Systems.43rd IEEE Conference on Decision and Control, 5421-5426, 2004. [8]. Serra, G.L.O. and Bottura, C.P. Multiobjective Evolution Based Fuzzy PI Controllers Design For Nonlinear Systems. IFAC Engineering Applications of Artificial Intelligence, Vol. 19, Issue 2, pp. 157-167, 2006.
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Project: NON-LINEAR ANALYSIS OF FLOATING BODIES SUBJECTED TO LARGE AMPLITUDE WAVE MOTIONS
Name: Dr.K.Thiruvenkatasamy
Position: Associate Professor
Gender: Male
Laboratory_University: Civil Engg, BIHER, Selaiyur, Chennai – 600 073
Country: India
Email: swamy2667@yahoo.com
Description
NON-LINEAR ANALYSIS OF FLOATING BODIES SUBJECTED TO LARGE AMPLITUDE WAVE MOTIONS Wave energy available from high sea waves attracted ocean scientists all over the world venturing for new type of wave energy devices. Floating wave power devices are of more popular in view of their fabrication and deployment in deep seas. The engineering design of floating bodies subjected to large amplitude wave motions are of particular importance in the recent years. In view of this, a large circular cylinder shall be analyzed. The large amplitude wave motions of circular cylinder needs non-linear analysis. Stokes Fifth order theory shall be used through perturbation analysis. The governing equations and boundary conditions for the present problem are being formulated. Solutions shall be evaluated using MATLAB. The response motion of floating body along with the water surface excursions shall be analyzed. Optimum operational conditions for the prototype shall be established. Item required: PC Machine with Printer MATLAB software, Literature Collections The Estimated Cost for this Research
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Project: EUROS: 20,000/– Principal Investigator: Dr.K.Thiruvenkatasamy. Ph.D (Japan) Post-Doctoral Fellow University College Cork (UCC), Ireland swamy2667@yahoo.com
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Project: Non-linear Analysis of Floating bodies of Large Amplitude motions
Name: Dr.K.Thiruvenkatasamy
Position: Associate Professor
Gender: Male
Laboratory_University: Civil Engineering, BIHER, Chennai – 600 073
Country: INDIA
Email: swamy2667@gmail.com, swamy2667@yahoo.com
Description
Non-linear Analysis of Floating bodies of Large Amplitude motions
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Project: Example Based Machine Translation
Name: Muneer Ahmad Malik
Position: Team Manager Machine Translation Group
Gender: Male
Laboratory_University: National Language Authority
Country: Pakistan
Email: muneerahmadmalik@yahoo.com
Description
EBMT (Example based Machine Translation) is essentially translation by analogy. An Example-Based Machine Translation (EBMT) system is given a set of sentences in the source language (from which one is translating) and their corresponding translations in the target language, and uses those examples to translate other, similar source-language sentences into the target language. The basic premise is that, if a previously translated sentence occurs again, the same translation is likely to be correct again.
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Project: Forecast and treatment of the karst-fractured groundwater and the defective geological condition
Name: S. C. Li
Position: Dr.
Gender: Male
Laboratory_University: ShanDong University
Country: China
Email: geoscli@163.com
Description
The project will mainly study some characters and rules of the Karst and Karst-fractured water, build a element identify system about the drainage area of the Karst-undergroud water, provide the latency drainage area attacking or aberrance and supplying water rule under the condition of the gushing water in the tunnel. There are better effective physical ascertainment methods to forecast the geological defective in the front of working face in the tunnel, for example, a class of wave reflects of the physical ascertainment methods (TSP, LDS-I, GDR) which are modified space objective position for the explored the geological defective and to work method in the fieldwork, and studied explaining method about data with the modified methods. There are better effective foreground methods to explore the underground water (TEM, GDR, UIT) which are mainly studied positive and negative calculation methods, work method in the fieldwork, explaining method about data with the improved methods and modified and developed software and equipment about the methods. The synthetically geological methods and the physical ascertainment methods are built and improved in the project. All kinds of the forecast methods are assembled by the fittest ways and all methods are applied the process to predict the geological defective and water in the front of the tunnel. The Karst-fractured water with high pressure and large volume are developed the mechanical model for the gushing water and predicted the model for the gushing volume during the excavating tunnel. The constructive methods and technology for the Karst-fractured water with high pressure and large volume are presented by the relative theory, model test in the Lab and test in the fieldwork. The pre-forecast and the harnessing expert system are built for the Karst-fractured water with high pressure and large volume and the badness geological conditions. The studies have important theory and practice meaning to construct the hydro-power of the JinPing and analogy engineering.
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Project: Control and stabilization of flexible space structures
Name: Xu, Gen Qi
Position: Prof.
Gender: Male
Laboratory_University: Tianjin University
Country: China
Email: gqxu@tju.edu.cn
Description
Space structure made of flexible light member represent a large class of elastic structure systems forming arbitrary geometrical shaped of braced truss-type three-dimensional array. Because of structural flexibility, its behavior can be written as hyperbolic equations on a geometrical structure such as Graph. The simplest structure is serially connected strings; the next is tree-shape networks. The general structure systems will be very complex. Suppose that the structures have equilibrium under the certain environment. Since such space structure is sensible to change of environment, Our purpose is to design controller or feedback controller such that the structure retains its equilibrium position when the environment has a little change.
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Project: Numerical solutions of potential – type Singular Integral Equations
Name: Shoukralla, Emil Sobhy
Position: Professor
Gender: Male
Laboratory_University: Faculty of Electronic Eng., Menofia University
Country: Egypt
Email: shoukrala@hotmail.com
Description
The first objective of this project is to study the potential of electrostatic fields acted upon magnetic field, thermal fields, or both. The second objective is to develop a simple numerical method for the solution of the obtained potential – type Fredholm Integral Equations with weak singularity in the kernel. Phones: +202-2672501,2681427(Home), Mobile: +20105613799.
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Project: Design of Simulation Tool (EDA) for Ternary Logic
Name: Ashwinikumar P.Dhande
Position: Professor
Gender: Male
Laboratory_University: Pune Institute of Computer Technology, Pune
Country: INDIA
Email: ashwpict@yahoo.com
Description
Description: An objective of this project is to develop simulation tool for ternary logic. Ternary is 3-valued digital system, which has 3 distinct level of switching, 0,1 and 2.Here 0 corresponds to ground potential, 1 corresponds to 2.5v potential and 2 to 5v for Vcc = 5v. We are looking for simulation of ternary logic gates like T-AND, T-OR etc. These gates are implemented using C-MOS transistors. Detail parameters of T-Gate implementation will be given at the time of discussion. Currently we have 4 team members for project development. Our final goal is to introduce 4 bit ternary microprocessor. Phones: +91-20-24360655(Home), Mobile: +91-20- 9822406967.
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Project: Combined Hardware Software Dynamic Voltage Scaling for Microprocessors Power and Energy Reduction
Name: Diary R. Sulaiman
Position: Lecturer
Gender: Male
Laboratory_University: Salahaddin University-Hawler
Country: Iraq
Email: diariy@gmail.com, diariy@engineer.com
Description
The project deals with the use of the combined Hardware-Software Dynamic Voltage Scaling (DVS) for microprocessors Power and Energy Reduction for solving the energy reduction of CPU’s. My Idea is to design an Electronic Control Loop to Control both of the Voltage and Frequency of Microprocessors Based on the Software Approach.
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Project: Designing Patterns with Fuzzy Cognitive Maps in EIS/DSS environment
Name: Jose L. Salmeron
Position: Associate Professor of Information Systems
Gender: Male
Laboratory_University: University Pablo de Olavide
Country: Spain
Email: jlsalsil@upo.es
Description
Most decision making in the real world is dynamic. Critical decisions in business, manufacturing domain, and others require multiple and interrelated time-constrained decisions under high uncertainty and complexity. Information and Communications Technologies can enhance database access, analytical powers, and communications capacity of managers. The justification for these efforts has been based on the premise that more and better quality information will result in reduced uncertainty in decision situations. Current models of decision making often revolve around the assumptions that alternative courses of action can be established, the outcome of choosing an alternative is known or at least it is calculable or imaginable. In addition, one assumes that the human brain can construct a representation of a decision problem, there is unlimited resources (i.e., time) to make a choice, and the context is static as it does not change autonomously or as a consequence of the decision maker’s choices. This project recognizes that real-life situations are not static, that the world changes continuously as a decision maker attempts to make a choice, and also it also changes as a result of those choices. It also views decision making as often constrained by limitation of resources, not only external resources, such at time limitations, but also human cognitive resources such as memory capacity. To carry out the proposed research it is necessary build patterns in a specific field. This could be software projects support. It is an ideal field for project objectives, because a new project progresses through a sequence of stages and processes within organization. In addition, software development efficiency would be increased. A Fuzzy Cognitive Map (FCM) would be developed in every stage of product support and it wuold be tested by experts. With time, a pattern library would be developed.
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Project: Designing Patterns with Fuzzy Cognitive Maps in EIS/DSS environment
Name: Jose L. Salmeron
Position: Associate Professor
Gender: Male
Laboratory_University: University Pablo de Olavide
Country: Spain
Email: jlsalsil@upo.es
Description
Most decision making in the real world is dynamic. Critical decisions in business, manufacturing domain, and others require multiple and interrelated time-constrained decisions under high uncertainty and complexity. Information and Communications Technologies can enhance database access, analytical powers, and communications capacity of managers. The justification for these efforts has been based on the premise that more and better quality information will result in reduced uncertainty in decision situations. Current models of decision making often revolve around the assumptions that alternative courses of action can be established, the outcome of choosing an alternative is known or at least it is calculable or imaginable. In addition, one assumes that the human brain can construct a representation of a decision problem, there is unlimited resources (i.e., time) to make a choice, and the context is static as it does not change autonomously or as a consequence of the decision maker’s choices. This project recognizes that real-life situations are not static, that the world changes continuously as a decision maker attempts to make a choice, and also it also changes as a result of those choices. It also views decision making as often constrained by limitation of resources, not only external resources, such at time limitations, but also human cognitive resources such as memory capacity. To carry out the proposed research it is necessary build patterns in a specific field. This could be software projects support. It is an ideal field for project objectives, because a new project progresses through a sequence of stages and processes within organization. In addition, software development efficiency would be increased. A Fuzzy Cognitive Map (FCM) would be developed in every stage of product support and it wuold be tested by experts. With time, a pattern library would be developed.
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Project: 3 DIMENSIONAL TOOLS for CORRELATION FLOWMETERS
Name: VENTZAS, DIMITRIOS
Position: PROFESSOR TEI of LARISSA / INFORMATICS DPT
Gender: Male
Laboratory_University: SIGNAL & SYSTEMS LABORATORY – TEI of LARISSA / IN
Country: GREECE
Email: ventzas@teilar.gr
Description
3 DIMENSIONAL; CORRELATION; FLOWMETERS; CONVOLUTION. The research on cross-correlation and especially on cross-correlation flowmetering comes from the 1980’s and there are a lot to be done as technology and especially dsp hardware and software improves. Flow regimes modern understanding plays important role to correlation repeatability. The task of our research team, that is based in Greece but involves other researcher in UK, and attracts European companies’ interests on its outcome, is to develop and use 2 and 3 dimensional tools for correlation flowmeters design. Collaboration sought: Financial support, information and software exchange / training, license agreement, marketing agreement.
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Project: Basic Research in Partial Differential Equations
Name: by Prof. Olga Martin and Prof. Nikos E. Mastorakis
Position: professors
Gender: Male
Research: WSEAS
Country: Romania and Greece
Email: mastor@wseas.org with WSEAS in the Subject
Description
DOWNLOAD IT in .DOC FORMAT from: http://www.worldses.org/projects/partial_differential_equations.doc In a reactor, the neutrons are yielded at the fission of the nucleus and they are named the rapid neutrons with the average speeds 2107m/s. The rapid neutrons are subjected to a slowness process, their energy decreasing until these are in an equilibrium state with the others atoms of the environment. When the reactor is in a stationary state, the atoms have the tendency to move from a region with a great density to another with a small density and thus on obtain a uniform density. This process is named the diffusion. The main problem in the nuclear reactor theory is to find the neutrons distribution in the reactor, hence its density. This is a scalar function, which depends on the next variables: the position vector of the neutron in a datum coordinate system, the neutron speed and the time. The density is the solution of an integral-differential equation named the neutron transport equation. The increasing importance of its applications in the industrial processing leads the researchers to explore different methods for solving them, [1]-[ ]. In this contract, the following themes will be approached. 1. The analytical and numerical solutions of a Dirichlet problem for stationary transport equations in the one-dimensional and two-dimensional cases. In order to solve these problems we approach a variational method, which extend Ritz-Galerkin approximations used for a diffusion equation. Also, the variational form of the integral identity method will be applied to construct an algorithm for a transport equation with a periodic source function. Many numerical examples are presented and an attentive investigations of the errors is made. The existence and uniqueness of the solution will be proved using the abstract variational formulation. Using the methods of the mathematical analysis, an analytical solution for one- dimensional transport equation will be found. 2. Stability of a numerical algorithm for a non-stationary transport equation. An initial-boundary value problem for one-dimensional linear transport equation with a source term is considered. This is rewritten as a Cauchy problem: dw /dt + Aw = F, wt = 0 = w0, where w represents a suitable subset of a Hilbert space, whose elements are pairs of real-valued functions depending on three variables: a space variable z[0, H], an angle variable , with = cos [-1, 1] and a time variable t[0, T]. A is a linear strictly positive operator. A difference scheme is given in order to approximate the space derivatives appearing in A. Then, the operator A is decomposed as A = A1 + A2 (where both A1 and A2 are positive operators) and another difference scheme is given to approximate the time derivatives. Finally, the numerical integration with respect to is carried out. One obtains an algorithm, which is stable and approximates the exact solution with an accuracy of second order in time step and in space step h.
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Project: Quantum Information and Quantum Computation
Name: Mahmoud Abdel-Aty
Position: Associate Professor
Gender: Male
Laboratory_University: College of Science, Bahrain University
February 28, 2007 at 6:28 am |
Thank you so very much for your attention to my paper! I look forward to meeting you and your team in Dallas, working with all of you, and become active with WSEAS. You’ve done incredible work with WSEAS!!
Recently, I was fortunate to meet an important Professor – Fellow Member of IEEE and had the opportunity to share many ideas, including of course WSEAS! Next week, I will also be communicating with the Chairman of WSEAS Chapter in Dallas.
Also please note that, more than a week ago, I did ask our department secretary to go to your secure website and submit registrations for both Katarina Jegtic and me. And she did register both of us!
I am energized by hard work and the opportunity to learn and grow with WSEAS!!
February 28, 2007 at 9:14 am |
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March 1, 2007 at 11:25 am |
Project: A fuzzy model-based approach to the analysis and control of general nonlinear systems
Name: Valentina E. Balas
Position: Associate Professor PhD
EMAILS: balas@inext.ro, balasv@uav.ro
CALL FOR PARTNERS:
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Description
Recently Sugeno suggested another type fuzzy model to approximate a nonlinear system It is shown that this fuzzy model that can approximate the nonlinear system as precisely as necessary. We have a stability theorem that give necessary and sufficient stability conditions with respect to a quadratic Lyapunov function. This is a great advantage compared to the case of the TS model. However it still remains sufficient, not necessary since we use a quadratic Lyapunov function. We have a new idea to breakthrough this difficulty. That is to use a piece-wise quadratic approximation of a general Lyapunov function. By extending the above fuzzy model, we can obtain this approximation. Mainly we have two tasks; one is to find a computational algorithm to apply this stability conditions and the other is to apply this method to some practical problems.
March 1, 2007 at 11:31 am |
Announcing new papers in the New York University Public Law and Legal Theory Working Papers, part of the NELLCO Legal Scholarship Repository found at
EDITOR: Barry Friedman, Jacob D. Fuchsberg Professor of Law, New York University School of Law
This email contains a table of contents, followed by abstracts and some general information.
TABLE OF CONTENTS:
Harry First and Andrew I. Gavel “Re-Framing Windows: The Durable Meaning of the Microsoft Antitrust Litigation”.
Subject area: Public Law and Legal Theory
Mattias Kumm “Constitutional Democracy Encounters International Law: Terms of Engagement”.
Subject area: Constitutional Law, International Law
Mattias Kumm “What Do You Have in Virtue of Having a Constitutional Right? On the Place and Limits of the Proportionality Requirement”.
Subject area: Jurisprudence, Public Law and Legal Theory
Mark Geistfeld “The Doctrinal Unity of Alternative Liability and Market-Share Liability”.
Subject area: Evidence, Torts
Christine A. Bateup “Expanding the Conversation: American and Canadian Experiences of Constitutional Dialogue in Comparative Perspective”.
Subject area: Comparative Law, Constitutional Law
Margaret L. Satterthwaite “Rendered Meaningless: Extraordinary Rendition and the Rule of Law”.
Subject area: Human Rights Law, International Law
Cristina M. Rodriguez “Language Diversity in the Workplace”.
Subject area: Civil Rights, Employment Practice, Immigration Law, Labor Law
Harry First “Microsoft and the Evolution of the Intellectual Property Concept”.
Subject area: Antitrust, Intellectual Property Law
Sam Issacharoff “Fragile Democracies”.
Subject area: Comparative Law, Constitutional Law, International Law
Jeffrey R. Lax and Charles M. Cameron “Bargaining and Opinion Assignment on the U.S. Supreme Court”.
Subject area: Courts, Judges, Law and Economics, Public Law and Legal Theory
Sam Issacharoff “Settled Expectations in a World of Unsettled Law: Choice of Law after the Class Action Fairness Act”.
Subject area: Constitutional Law, Practice and Procedure, Public Law and Legal Theory
Nancy Morawetz “The Invisible Border: Restrictions on Short-Term Travel for Noncitizens”.
Subject area: Immigration Law, Public Law and Legal Theory