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CIMCA 2006: international conference on computational intelligence for modelling, control and automation, Jointly with IAWTIC 2006: international conference on Intelligent Agents Web Technologies and international Commerce

作者： De Geus, Klaus De Souza, Alexandre M. Milsztajn, Flávio Kolb, Carlos J. J. Dometerco, José H. Braga, Ciro De C. Parolin, Emerson L. Frisch, Arlenio C. Fortunato Jr., Luiz K. Erzinger Jr., Augusto Jonack, Marco A. Guiera, Anderson J. A. COPEL - Companhia Paranaense de Energia UFPR - Universidade Federal do Paraná

ISBN: (纸本)0769527310

The main purpose of this paper is to analyse distributed computing technology for substation automation systems. Based on performance comparative results obtained in laboratory, a specific model for distributed substation automation is proposed considering the current model employed at Copel - Companhia Paranaense de Energia. The proposed model is based on the multi-agents technology, which has lately received special attention in the development of distributed systems with local intelligence. The model includes a negotiation schema based on which the control of individual substations is assigned to specific system operators. © 2006 IEEE.

关键词： Electric substations

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computational intelligence for modelling,control & automation: Neural networks & advanced control st

Computational intelligence for modelling,control & automatio...

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1999年

作者： Mohammadian Masoud

ISBN: (纸本)9051994737

From the Publisher: This edited volume is dedicated to the theory and applications of Neural Networks and Advanced Intelligent control Strategies. The book consists of 64 accepted research papers from the 1999 international conference on computational intelligence for Modeling, control and automation - CIMCA'99. The research papers presented in this book cover new techniques and applications in the areas of Neural Networks, Advanced and Intelligent control Strategies for Manufacturing, Robotics and automation.

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Optimization Model for Effective Power Distribution 5

Optimization Model for Effective Power Distribution

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5th IEEE international conference on computational intelligence and Computing Research (IEEE ICCIC)

作者： Maheswari Santhoshkumar, R. Vijayalakshmi, C. Sathyabama Univ Dept Math Madras Tamil Nadu India TNEB Madras Tamil Nadu India VIT Univ Dept Math Madras Tamil Nadu India

ISBN: (纸本)9781479939756

This paper mainly deals with the primary distribution networks of power distribution networks of power distribution system which have been focused on Monitor, control and maintain equipment in the sub stations to reduce the operating cost. Implementation of Distribution control Centre (DCC) which are being monitored and controlled by SCADA systems. Lagrangian decomposition Model has been proposed to minimize the losses using Distribution automation (DA) facilities in HV/LV substations and on its MV feeders for improving power management of distribution of electricity. The proposed model is solved by Algorithmic approach. Based on the numerical calculations and graphical representations, the electrical losses are minimized for the power system using Distribution automation.

关键词： Distribution automation Distribution control Centre (DCC) SCADA Lagrangian Decomposition Substation feeders

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Proceedings - CIMSim 2011: 3rd international conference on computational intelligence, modelling and Simulation

Proceedings - CIMSim 2011: 3rd International Conference on C...

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2nd international conference on computational intelligence, modelling and Simulation 2011, CIMSim 2011

ISBN: (纸本)9780769545622

The proceedings contain 76 papers. The topics discussed include: landmine detection and classification using MLP;neural network application for lightning characteristics & mapping for peninsular malaysia;a novel VSS-EBP algorithm based on adaptive variable learning rate;a novel technique to control the traffic of wireless ad-hoc network by fuzzy systems and prediction with neural network;intelligent control for automation of Yam storage system using Fuzzy logic controller;a preliminary report on representation of songs in real-time human memory retrieval;guiding wheelchair motion based on EOG signals using tangent bug algorithm;motion detection and analysis with four different detectors;evaluating BLAST runtime using NAS-based high performance clusters;and application of ANFIS in predicting TiAlN coatings flank wear.

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Granular analysis of time sequence based on quotient space

Granular analysis of time sequence based on quotient space

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作者： Zhao, Liquan Zhang, Ling Zhang, Bo Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China Computer Science Department Tsinghua University Beijing 100084 China

ISBN: (纸本)0769527310

This paper aims to carry out granular analysis of time sequence based on quotient space. Granular methods have long before been adopted to analyze time sequence, but the granularity was based on time, for example, day mean, month mean, year mean and so on in finance forecast. In this paper, the granularity is based on space and some significant results are obtained: we can, in certain circumstances, get characteristics of time sequence in an original space when carrying out granular analysis of it in its coarser-grain space;granular analysis of a Markov chain is equivalent to an hidden Markov model (HMM), contrarily, any HMM is equivalent to granular analysis of a Markov chain. These results deepened our understanding of HMM from the perspective of granular analysis. We can not only use the methods of HMM to study time sequence, but also use the methods of granular analysis based on quotient space theory to solve the problems of HMM. © 2006 IEEE.

关键词： Intelligent agents

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The integration of an intelligent knowledge-based system into engineering software using the blackboard structure

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ADVANCES IN ENGINEERING SOFTWARE 1996年第2-3期25卷 141-147页

作者： Petridis, M Knight, B Centre for Numerical Modelling and Process Analysis School of Computing and Information Systems The University of Greenwich Wellington St. London SE18 6PF UK

Over recent years there has been an increase in the use of generic computational Fluid Dynamics (CFD) software packages spread across various application fields. This has created the need for the integration of expertise into CFD software. Expertise can be integrated into CFD software in the form of an Intelligent Knowledge-Based System (IKBS). The advantages of integrating intelligence into generic engineering software are discussed with a special view to software engineering considerations. The software modelling cycle of a typical engineering problem is identified and the respective expertise and user control needed for each modelling phase is shown. The requirements of an IKBS for CFD software are discussed and compared to current practice. The blackboard software architecture is presented. This is shown to be appropriate for the integration of an IKBS into an engineering software package. This is demonstrated through the presentation of the prototype CFD software package FLOWES. Copyright (C) 1996 Civil-Comp Limited and Elsevier Science Limited.

关键词： blackboard Intelligent Knowledge-Based Systems (IKBS) artificial intelligence engineering software

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A Power-aware Multiprocessor Based Laboratory automation and Resource Management System 5

A Power-aware Multiprocessor Based Laboratory Automation and...

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5th IEEE international conference on computational intelligence and Computing Research (IEEE ICCIC)

作者： Pillai, Anju S. Isha, T. B. Amrita Vishwa Vidyapeetham Dept Elect & Elect Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781479939756

Due to the advancements in technology, new and complex techniques are explored and are becoming a common practice. automation systems are prevalent in all application domains whether it is home automation or factory automation. This paper presents the design and development of a Laboratory automation and Resource Management System (LARMS). The developed system consists of heterogeneous multiprocessor systems connected and communicated to be a part of distributed networked embedded systems. The main features of LARMS are: automatic lab access through bio-metric sensors, real time clock, automatic device control based on the ambient environment conditions and human presence and the central communication controller to supervise and coordinate the entire system functioning. LARMS is implemented using PIC16F877 microcontrollers and ARM7 TDMI controller. The main contribution of the work is the implementation of a power-aware solution for LARMS. The simulation results manifest the energy solutions provided by the proposed automation and resource management system.

关键词： automation systems power-aware systems power consumption reduction multiprocessor systems embedded processors

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A case study for modelling and design of distributed automation systems

A case study for modelling and design of distributed automat...

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IEEE/ASME international conference on Advanced Intelligent Mechatronics

作者： Ferrarini, L Veber, C Lorentz, K Politecn Milan Dipartimento Elettron & Informat I-20133 Milan Italy

ISBN: (纸本)0780377591

In the paper, the problem of modelling and designing of reconfigurable and reusable distributed automation systems is addressed. Such systems are characterized by the distribution of hardware, software, and physical components for the control and automation systems implementation, following the trend to distributed intelligence into the controlled plant and to integrate Information and Communication Technologies into automation systems. Through the help of a case study, the paper investigates advantages and disadvantages of monolithic and distributed design approaches and models, and some available tools and standards are critically compared. A proposal is given of new modelling paradigms able to capture the overall system description, drawn from the on-going European Project TORERO.

关键词： distributed control systems Sequential Function Chart hierarchical control programmable logic controllers object-orientation

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Intelligent control for automation of yam storage system using fuzzy logic controller

Intelligent control for automation of yam storage system usi...

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2nd international conference on computational intelligence, modelling and Simulation 2011, CIMSim 2011

作者： Abdulazeez, Murtala Salami, M.J.E. Tijani, Ismaila B. Kuala Lumpur Malaysia

ISBN: (纸本)9780769545622

This paper presents the development of intelligent control technique for yam storage system based on fuzzy logic controller (FLC). The expert control of yam storage system is formulated in the form of fuzzy rules. The inputs to the controller are the outside and inside temperature, wind speed and presences of rain. The output is the window opening angle. Simulations were performed for different typical levels of input parameters and also for extreme fictitious conditions. The results shown that, the controller is capable of responding to the changes in temperature conditions by adjusting the window opening angle to keep the internal temperature within acceptable range. The controller also satisfies security requirements due to sudden changes in wind velocity and presence of rain. © 2011 IEEE.

关键词： Intelligent control

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Application of computational intelligence Methods in modelling River Flow Prediction: A Review 2

Application of Computational Intelligence Methods in Modelli...

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2nd international conference on Computer Communications control Technology

作者： Zaini, Nuratiah Malek, Marlinda Abdul Yusoff, Marina Univ Tenaga Nas Dept Civil Engn Selangor Malaysia Univ Teknol MARA UiTM IIESM Fac Comp & Math Sci Selangor Malaysia

ISBN: (纸本)9781479979523

Rainfall and river flow are one of the most difficult elements of hydrological cycle to predict. This is due to tremendous range of variability it displays over a wide range of scale both in terms of space and time. The situation is further aggravated by the fact that rainfall-runoff is also very difficult to measure at scales of interest to hydrology and climatologic. computational intelligence techniques provide efficient and fast results for modelling non-linear and complex data. computational intelligence methods which inspired by the capability of learning that derive meaning from unknown relationship provide guidance for a sensible decision making. This advantage creates them adaptable and talented methods for modelling real world problems. This paper is an attempt to present the introduction to computational intelligence methods;applications to river flow modelling and its performance with regards to the parameter and method used. The methods include artificial neural networks, fuzzy logic, evolutionary computation, support vector machine;swarm intelligence and hybrid method are critically compared mainly on computational results and prediction accuracy.

关键词： River Flow Model computational intelligence Artificial Neural Network Evolutionary Computation Support Vector Machine

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