A DATA-DRIVEN USER INTERFACE GENERATOR FOR A GENERALIZED MULTIPLE CRITERIA DECISION SUPPORT SYSTEM

Information Systems Working Papers Serie

Computational Shape Derivatives in Heat Conduction: An Optimization Approach for Enhanced Thermal Performance

We analyze an optimization problem of the conductivity in a composite material arising in a heat conduction energy storage problem. The model is described by the heat equation that specifies the heat exchange between two types of materials with different conductive properties with Dirichlet-Neumann boundary conditions on the external part of the domain, and on the interface characterized by the resisting coefficient between the highly conductive material and the less conductive material. The main purpose of the paper is to compute a shape gradient of an optimization functional in order to accurately determine the optimal location of the conductive material using a classical shape optimization strategy. We also present some numerical experiments to illustrate the efficiency of the proposed method

DESIGNING A GENERALIZED MULTIPLE CRITERIA DECISION SUPPORT SYSTEM

Decision support systems are of many kinds depending on the models and techniques employed in them. Multiple criteria decision making techniques constitute an important class of DSS with unique software requirements. This paper stresses the importance of interactive MCDM methods since these facilitate learning through all stages of the decision making process. We first describe some features of Multiple Criteria Decision Support Systems ( MCDSSs) that distinguish them from classical DSSs. We then outline a software architecture for a MCDSS which has three basic components: a Dialog Manager, an MCDM Model Manager, and a Data Manager. We describe the interactions that occur between these three software components in an integrated MCDSS and outline a design for the Data Manager which is based on a concept of levels of data abstraction.Information Systems Working Papers Serie

Educational robotics as an Innovative teaching practice using technology: minimization of risks

This research is focused on studying educational robotics, specifically robots which provide functions of educational activity. We have considered the questions of intelligent agents' behavior and have studied their educational opportunities. Educational robotics is a powerful tool of developing person's skills and abilities in various fields of technical creativity and professional activity. The evolutionary development of robotics is connected with development of artificial intelligence, where emotions play a great role in operations. Nowadays the main thing is to form the ability and skills of optimum interaction with social environment when a person, based on gained knowledge, is capable to put goals of the activity in strict accordance with laws and society conditions and using current technology

Short-Circuit Fault Tolerant Control of a Wind Turbine Driven Induction Generator Based on Sliding Mode Observers

The installed energy production capacity of wind turbines is growing intensely on a global scale, making the reliability of wind turbine subsystems of greater significance. However, many faults like Inter-Turn Short-Circuit (ITSC) may affect the turbine generator and quickly lead to a decline in supplied power quality. In this framework, this paper proposes a Sliding Mode Observer (SMO)-based Fault Tolerant Control (FTC) scheme for Induction Generator (IG)-based variable-speed grid-connected wind turbines. First, the dynamic models of the wind turbine subsystems were developed. The control schemes were elaborated based on the Maximum Power Point Tracking (MPPT) method and Indirect Rotor Flux Oriented Control (IRFOC) method. The grid control was also established by regulating the active and reactive powers. The performance of the wind turbine system and the stability of injected power to the grid were hence analyzed under both healthy and faulty conditions. The robust developed SMO-based Fault Detection and Isolation (FDI) scheme was proved to be fast and efficient for ITSC detection and localization.Afterwards, SMO were involved in scheming the FTC technique. Accordingly, simulation results assert the efficacy of the proposed ITSC FTC method for variable-speed wind turbines with faulty IG in protecting the subsystems from damage and ensuring continuous connection of the wind turbine to the grid during ITSC faults, hence maintaining power quality

Diagnostic des génératrices asynchrones dans une éolienne a vitesse variable à base d’un observateur de court-circuit statorique

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