2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.最新文献

{"title":"Simultaneous search for multiple routes using genetic algorithm","authors":"B. Chakraborty","doi":"10.1109/CIMSA.2004.1397235","DOIUrl":"https://doi.org/10.1109/CIMSA.2004.1397235","url":null,"abstract":"Search for optimal route from source to destination is a well-known optimization problem and lot of good solutions like Dijkstra algorithm, Bellman-Ford algorithm etc. are available with practical applications. But simultaneous search for multiple semioptimal routes are difficult with the above mentioned solutions as they produce the best one at a time. Genetic algorithm (GA) based solutions are currently available for simultaneous search of multiple routes. But the problem in finding multiple routes is that the selected routes resemble each other i.e., partly overlap. In this paper a GA based algorithm with a novel fitness function has been proposed for simultaneous search of multiple routes avoiding overlapping. Using a portion of real road map the simulation of the proposed algorithm and other currently available algorithm are done. The simulation results demonstrate the effectiveness of the proposed algorithm over other algorithms.","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598606","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 of natural scenes for feature extraction and tracking an independent component analysis (ICA) approach","authors":"J. Durham, W. Torrez","doi":"10.1109/CIMSA.2004.1397217","DOIUrl":"https://doi.org/10.1109/CIMSA.2004.1397217","url":null,"abstract":"An independent component analysis (ICA) approach to monitoring of natural scenes empirically generates robust image features for localization and tracking of potentially-occluded targets. The ICA-based empirical model utilizes statistical techniques that assist analysts in characterizing the underlying criteria that enables such feature extraction. Thus, this approach provides a basis for analyzing how the empirically generated feature localization and tracking models and related algorithms to perform their function.","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133343287","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":"Automatic, mobile system for evaluation of human hearing abilities","authors":"B. Piotr, B. Jarosław, I. Andrzej, T. Ryszard, W. Ireneusz","doi":"10.1109/CIMSA.2004.1397221","DOIUrl":"https://doi.org/10.1109/CIMSA.2004.1397221","url":null,"abstract":"At present two main methods of examination of the human hearing system are applied. The first one is based on close cooperation between the physician and the patient and its examination result is the classical audiogram. The second one, which is an objective method, comprises the analysis of the auditory brainstem response (ABR) signals. In the second case the cooperation between the physician and the examined patient with hearing impairments is not necessary. The present paper contains a description of a method allowing a construction of a system evaluating the patient's hearing abilities in an automated manner, without the necessary presence of highly trained audiological staff. The system leads to elimination of a subjective human factor from the diagnostic process. It should be noticed that diagnosis of human hearing impairment based on the registration of ABR signals and the analysis of the morphology of the recording as well as the latency periods and amplitudes of individual waves as functions of the stimulus intensity is very difficult and requires extensive practice. The ABR potentials emerge as electrophysiological reaction to an acoustic stimulus, usually being a short crack, or a tone, the intensity of which is gradually decreasing during the examination. After completing the examination a series of recording is obtained. Each ABR recording usually contains three to five dominant maxima. The amplitudes and latency periods of these maxima depend on the stimulus type and its intensity as well as the patient's age, sex and type of the hearing impairment. It is widely assumed that the hearing threshold coincides with the extinction of the fifth wave. The system described below operates in sequential mode, ie. at first the acquisition of the ABR signal is done, then the data are subject to preprocessing and in the next stage the analysis of the data is carried out. It has been implemented on the Pocet PC platform in connection together with \"Kuba micro\" device.","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115690528","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":"Tomographic inversion based on evolutionary algorithms for environmental monitoring applications","authors":"Gabriele D 'antona, L. Rocca","doi":"10.1109/CIMSA.2004.1397227","DOIUrl":"https://doi.org/10.1109/CIMSA.2004.1397227","url":null,"abstract":"Electrical impedance tomography (EIT) is a promising monitoring tool for a rapid and fairly economic mapping of underground pollution in soils. It requires a measuring software capable to recover the conductivity distribution inside the region to be monitored starting from direct measurements of power dissipated or difference potential between couples of measurement points, during current injection between pairs of selected electrodes, placed around the prospected soil. In this paper, after a brief description of the EIT principles and the monitoring process, we proceed to a comparative analysis between genetic and more traditional algorithms in terms of their relative metrological performances. The comparison is handled on the basis of laboratories experiences conducted in a controlled conductivity environment in which the objective is the detection of the magnitude and the location of a conductivity anomaly.","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126710729","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":"Intelligent tuning of PID controller with disturbance function using immune algorithm","authors":"Dong Hwa Kim, Jae-Hoon Cho","doi":"10.1109/CIMSA.2004.1397243","DOIUrl":"https://doi.org/10.1109/CIMSA.2004.1397243","url":null,"abstract":"Strictly maintaining the steam temperature can be difficult due to heating value variation to the fuel source, time delay changes in the main steam temperature, the change of the dynamic characteristics in the reheater. Up to the present time, PID controller has been used to operate this system because of its implementational advantages. However, it is very difficult to achieve an optimal PID gain with no experience, since the gain of the PID controller has to be manually tuned by trial and error. This paper focuses on tuning of the PID controller with disturbance rejection using immune network algorithm. To decide the performance of response, an ITSE (integral of time weighted squared error) is used in this paper.","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128946982","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":"CIMSA/2004 Session 9: Computational Intelligence in Image and Vision","authors":"","doi":"10.1109/cimsa.2004.1397249","DOIUrl":"https://doi.org/10.1109/cimsa.2004.1397249","url":null,"abstract":"","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128512257","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":"CIMSA/2004 Session 7: Intelligent Computation and Applications","authors":"","doi":"10.1109/cimsa.2004.1397241","DOIUrl":"https://doi.org/10.1109/cimsa.2004.1397241","url":null,"abstract":"","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122530971","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":"CIMSA/2004 Session 1: Computational Intelligence-based Applications","authors":"","doi":"10.1109/cimsa.2004.1397216","DOIUrl":"https://doi.org/10.1109/cimsa.2004.1397216","url":null,"abstract":"","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115127763","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":"CIMSA/2004 Session II: Fuzzy Logic-based Applications","authors":"","doi":"10.1109/cimsa.2004.1397258","DOIUrl":"https://doi.org/10.1109/cimsa.2004.1397258","url":null,"abstract":"","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398591","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":"ICIMSA/2004 Session 8: Computational Intelligence: Theory and Optimization","authors":"","doi":"10.1109/cimsa.2004.1397245","DOIUrl":"https://doi.org/10.1109/cimsa.2004.1397245","url":null,"abstract":"","PeriodicalId":102405,"journal":{"name":"2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121570412","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}