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

{"title":"Qualitative phase space modeling of non-linear electrical dynamic systems","authors":"W. Tang, Y. Wong, A. Rad","doi":"10.1109/SMCIA.1999.782724","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782724","url":null,"abstract":"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.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127374504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The method for multimedia information transfer system","authors":"T. Sato","doi":"10.1109/SMCIA.1999.782705","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782705","url":null,"abstract":"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 requests the multimedia server to transfer data then stores the transferred data block and displays the stored data block concurrently with storing the next data block.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133718977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring industrial processes using the self-organizing map","authors":"J. Ahola, E. Alhoniemi, O. Simula","doi":"10.1109/SMCIA.1999.782702","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782702","url":null,"abstract":"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.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of genetic algorithms to airbase logistics planning","authors":"N. Schneider, S. Narayanan, C. Patel","doi":"10.1109/SMCIA.1999.782720","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782720","url":null,"abstract":"There is a need for a modeling approach that integrates simulation with human interaction and optimization to exploit the analyst's ability in addressing difficult to quantify issues while utilizing computer models and algorithms to perform complex computations in systems analysis. In this paper, we present an approach that integrates human interaction with simulations and genetic algorithms for the repair-time analysis problem in airbase logistics. We present the integrated approach along with the computer system implementation, and evaluation in the context of a realistic repair time analysis problem.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133230938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive notch filtering in impulsive noise environment","authors":"O. Vainio","doi":"10.1109/SMCIA.1999.782726","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782726","url":null,"abstract":"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 compared for Laplacian noise, and the effect of filtering is investigated for a signal with strong harmonic contents.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116383315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling virtual cities using genetic algorithms","authors":"N. Kato, T. Okuno, Hitoshi Kanoh","doi":"10.1109/SMCIA.1999.782722","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782722","url":null,"abstract":"A novel method is described for automatically modeling virtual cities. A city is considered to be composed of several city blocks, and each block has feature values, such as average building height. The feature values are determined using a genetic algorithm. A chromosome represents the building layout of a virtual city and a fitness function is used to measure the similarity between neighboring blocks. Experimental results showed that this method produces realistic virtual cities.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116937872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soft computing applications in the electric power industry","authors":"H. Vanlandingham, F. Azam","doi":"10.1109/SMCIA.1999.782698","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782698","url":null,"abstract":"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 operators continually make minor adjustments. Solutions to the problems of sensor redundancy and self-tuning controllers are discussed using artificial neural networks (ANNs), which can learn in a static mode in the case of sensor redundancy, or dynamically (on-line) in the case of self-tuning adaptation.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129977907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"General framework for neural network based real-time voltage stability assessment of electric power system","authors":"S. Repo","doi":"10.1109/SMCIA.1999.782714","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782714","url":null,"abstract":"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 neural network inputs. The results prove the capability of neural networks to model the most critical voltage stability margin in a large electric power system. The proposed approach is tested with an IEEE 118-bus test network. The generalisation and training time of a neural network model can be improved significantly using the proposed methods.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130274576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction of soft computing techniques to welfare devices","authors":"Hideyuki TA1IAGI, Shin’ichi Icamohara, Takashi T.AIED","doi":"10.1109/SMCIA.1999.782719","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782719","url":null,"abstract":"This paper introduces our research into the use of soft computing techniques for hearing impairment compensation and physical rehabilitation. Evolutionary computation (EC) is used for fitting hearing aids based on an interactive EC and the user's preferences for sound. This technology allows hearing aid users to optimize their hearing aids in any acoustic environment without professional assistance. The virtual reality (VR) system for physical rehabilitation allows patients to train their muscles and reflexes according to the level of their physical condition.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120974620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive and intelligent systems applications","authors":"E. Oja","doi":"10.1109/SMCIA.1999.782727","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782727","url":null,"abstract":"Computational intelligence, whose major technologies are artificial neural networks, fuzzy systems, evolutionary computing, and probabilistic methods, has recently emerged as a strong field in research efforts world wide. Tekes (Technology Development Centre), a financing organization under the Finnish ministry of trade and industry, launched in 1995 a five-year technology programme “Adaptive and intelligent systems applications” l , whose purpose is to develop working applications of computational intelligence in co-operation between Finnish research groups and industry. The plenary talk will be based on the results of this programme, as well as reported European and world-wide activities in the field. Some cases of the author’s own research projects are covered as well. The Tekes programme consists of company consortia projects, separate product development projects, and research projects. At present, there are 16 company consortia projects or product development projects and 5 research projects going on. These 21 projects are being partially financed by about 80 commercial enterprises. During the programme 15 product development projects have been finalized thus far. A number of new patent applications have been made and more than 10 new companies have been founded. The key application technologies are neural networks and fuzzy systems, and the largest application areas are industrial control, monitoring, diagnostics, and finance. The annual budget has been about 30 million mk, equivalent to 5 million Euro. In the intermediate evaluation of the programme it was estimated that the turnover in the years 1996-2000 would be FIM 300-350 million (USD 60-70 million) and that the process and quality savings in the same period would be over FIM 100 million (USD 20 million). Companies can utilise the results of the research projects to develop even more challenging applications to new promising markets. Finnish academic research groups have been involved in basic research on some of these techniques for more than two decades. This is largely due to the pioneering work of prof. Teuvo Kohonen of Helsinki University of Technology which started in late 60’s. This work has concentrated on associative memories, artificial neural networks, unsupervised learning, and pattern recognition. Perhaps the","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114433159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}