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SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)

18-18 June 1999

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  • SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)

    Publication Year: 1999
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    Freely Available from IEEE
  • Author index

    Publication Year: 1999, Page(s): xii
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    Freely Available from IEEE
  • Discussion of reliability criterion for US dollar classification by LVQ

    Publication Year: 1999, Page(s):28 - 33
    Cited by:  Papers (1)
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    Freely Available from IEEE
  • Adaptive critic control of the power train in a hybrid electric vehicle

    Publication Year: 1999
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (61 KB)

    Summary form only given. An adaptive critic control algorithm is used to control the flow of electric power in the power train of a hybrid electric vehicle. This system consists of a fuel cell which serves as the primary power source, a flywheel/battery to recover regenerative power and provide power for acceleration, and separate motor/generators on each wheel; connected by an inverter which cont... View full abstract»

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  • Monitoring industrial processes using the self-organizing map

    Publication Year: 1999, Page(s):22 - 27
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (704 KB)

    In this paper, three process monitoring methods based on the self-organizing map (SOM) are presented: trajectory display, fuzzy response and probabilistic response. These approaches are compared with each other and also demonstrated in two case studies: continuous pulping and hot rolling of steel strips View full abstract»

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  • Soft computing techniques for intelligent classification system: a case study

    Publication Year: 1999, Page(s):16 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    Soft computing techniques are becoming popular in designing real world industrial applications. Researchers are trying to integrate different soft computing paradigms such as fuzzy logic, artificial neural network, genetic algorithms etc., to develop hybrid intelligent autonomous systems that provide more flexibility by exploiting tolerance and uncertainty of real life situations. Intelligent clas... View full abstract»

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  • A soft computing approach for the design of novel pharmaceuticals

    Publication Year: 1999, Page(s):10 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB)

    The pace of technological advancement in today's society has generated an enormous demand for methods facilitating the intelligent design of new pharmaceuticals, chemical compounds, and materials. The authors have developed computationally intelligent data mining and molecular modeling technologies for the automated design and understanding of complex molecular structures. The Transferable Atom Eq... View full abstract»

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  • Bill money classification by competitive learning

    Publication Year: 1999, Page(s):5 - 9
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    The progress of computer science enables us to process complex and large scale computations and advanced pattern recognition methods can be adopted for pattern classification problems. Among them neuro-pattern recognition, which means pattern recognition based on neural networks, has been given attention since it has classified various patterns like human beings. We adopt the learning vector quant... View full abstract»

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  • Data driven logic: a programming method using data flow diagrams

    Publication Year: 1999, Page(s):46 - 51
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB)

    A large database of connections between software parts replaces procedural programs to realize a virtually-wired (visual) logic and to eliminate the regular work of programming. Having a knowledge database within a drawing environment allows programmers to easily select program parts using a mouse on the screen. This paper presents the system concept from the viewpoint of soft computing, as well a... View full abstract»

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  • Soft computing applications in the electric power industry

    Publication Year: 1999, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    This paper focuses on two distinct types of problems; namely, sensor redundancy and set-point control. For the latter problem the workhorse of the industry is the 3-element proportional-integral-derivative (PID) controller which can be tuned to provide reasonable performance over a relatively wide range of operation and control problems. PID controllers can, however, become detuned over time as op... View full abstract»

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  • The method for multimedia information transfer system

    Publication Year: 1999, Page(s):40 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    This paper describes a multimedia information transfer system that includes a multimedia server and a client server system with a multimedia server through a telecommunications network that transfers data transmitted from the multimedia server to a server in the client server system. The multimedia server stores data streams of multimedia information and reproduces the information. The client requ... View full abstract»

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  • Fuzzy logic two-phase traffic signal control for coordinated one-way streets

    Publication Year: 1999, Page(s):69 - 74
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (420 KB)

    The specific goal of this study was to compare the differences in various traffic signal control algorithms when simulating two consequent one-way intersections with no turning traffic. The opportunities offered by fuzzy logic for controlling traffic are the subject of our FUSICO (FUzzy logic SIgnal group COntrol) research project. The compared algorithms used in the simulations were coordinated f... View full abstract»

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  • Adaptive and intelligent systems applications

    Publication Year: 1999, Page(s): 156
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (108 KB)

    First Page of the Article
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  • A genetic algorithm approach to solve channel assignment problem in cellular radio networks

    Publication Year: 1999, Page(s):34 - 39
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    We propose an efficient algorithm for channel assignment problem in cellular radio networks. The task is to assign channels to different cells in a spectrum-efficient way i.e. the minimum frequency band is used and at the same time interference among calls from different cells is avoided. The simplest version of this problem, where only co-channel interference is considered, is NP-complete. We pro... View full abstract»

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  • Soft computing-based controller design for a telecom rectifier

    Publication Year: 1999, Page(s):80 - 85
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    Presents controller design for a telecommunications rectifier based on analogue, digital and fuzzy logic approaches. The required output characteristics contain three modes of operation-constant-voltage, modified constant-power and constant-current. The proposed analogue solution is well proven in practical use and shows excellent performance. The digital solution is simulated and preliminary resu... View full abstract»

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  • Bayesian neural networks for industrial applications

    Publication Year: 1999, Page(s):63 - 68
    Cited by:  Papers (7)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB)

    Demonstrates the advantages of using Bayesian neural networks in regression, inverse and classification problems, which are common in industrial applications. The Bayesian approach provides a consistent way to perform inference by combining the evidence from data with prior knowledge from the problem. A practical problem with neural networks is to select the correct complexity for the model, i.e. ... View full abstract»

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  • Adaptive notch filtering in impulsive noise environment

    Publication Year: 1999, Page(s):152 - 155
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    An adaptive digital notch filter is considered for 50/60 Hz line frequency signal processing. An adaptive algorithm allows tracking of the main frequency component such that the notch frequency is the only changing parameter. Since the power line frequency is known to within a narrow tolerance band, it is possible to apply soft or hard limiting on the notch frequency. Soft and hard limiting are co... View full abstract»

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  • The combination and prospects of neural networks, fuzzy logic and genetic algorithms

    Publication Year: 1999, Page(s):52 - 57
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB)

    Today, there's a synergy beginning to form among neural nets (NNs), fuzzy logic (FL) and genetic algorithms (GAs). This paper reviews developments in this respect. Many designs of knowledge-based and associated learning systems using the combination of NNs and FL abilities have been presented. Some methods for the integration of GAs with fuzzy systems are described. Afterwards, work on hybrid syst... View full abstract»

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  • Furnace temperature control with fuzzy microcontroller

    Publication Year: 1999, Page(s):75 - 79
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    A new generation of processor, the so-called fuzzy microprocessor, is used to control the temperature in a laboratory furnace. The system consists of the furnace and a control device with an NLX230 fuzzy microcontroller, an 80C522 microcontroller, a clock, RAM and EPROM memories and an LCD. The fuzzy microcontroller works as coprocessor. It is possible to introduce, in an easy way, the mode requir... View full abstract»

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  • Neural networks for energy flows prediction in facility systems

    Publication Year: 1999, Page(s):86 - 90
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (412 KB)

    A procedure for the short-term prediction of the thermal energy consumption of a hospital is shown in this paper. First, linear ARX models are built in order to obtain information on the influence of the input variables on the output of the system. Therefore, nonlinear models based on feedforward neural networks (NNARX) are built using the information provided by the linear estimate. The results o... View full abstract»

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  • Qualitative phase space modeling of non-linear electrical dynamic systems

    Publication Year: 1999, Page(s):140 - 145
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    The purpose of this paper is to combine the existing methodologies that describe non-linear dynamic systems, by using the phase space and the descriptions of qualitative behaviors of ordinary differential equations. The swing equation of a synchronous machine has been illustrated as an example View full abstract»

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  • Genetic algorithms for tuning PLC loops

    Publication Year: 1999, Page(s):58 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    A common practice is to design a controller by plant observations (i.e. experiments) and to optimize some of its parameters by trial-and-error. This paper proposes a genetic algorithm for the automation of the search procedure and its implementation on a programmable logic controller (PLC). The details of this implementation are discussed, along with an example one carried out for the control of a... View full abstract»

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  • General framework for neural network based real-time voltage stability assessment of electric power system

    Publication Year: 1999, Page(s):91 - 96
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    The need for real-time security assessment of electric power systems has increased due to open systems, an increase in the number of power wheeling transactions and environmental concerns. In this paper, special attention is focused on neural network generalisation in large-scale system modelling. Generalisation has been improved by operation points classification and a reduction of the number of ... View full abstract»

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  • Friction compensation in servo motor systems using neural networks

    Publication Year: 1999, Page(s):146 - 151
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    Compensation of negative effects caused by friction in high precision servo control systems is an important and challenging problem. Conventional compensation methods often rely on an explicit friction model, which is difficult to acquire accurately in practice. We propose a neural network-based compensation scheme to cope with this problem. The visible disturbance resulting from friction is first... View full abstract»

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  • Condition monitoring of storage batteries in telecom power systems-crisp vs. soft computing methodology

    Publication Year: 1999, Page(s):97 - 102
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    The storage battery is the most important and decisive component in a telecom DC UPS system, determining its reliability and availability performance. The deployment of valve-regulated lead-acid (VRLA) batteries into telecom networks started an era of unbelievable problems and gradual deterioration of credibility. Battery condition monitoring has become a necessity, and not just a way to boost rel... View full abstract»

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