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Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.最新文献

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A traffic incident detection method based on wavelet Mallat algorithm 基于小波Mallat算法的交通事件检测方法
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466967
Xiaoyuan Wang, Jinglei Zhang
{"title":"A traffic incident detection method based on wavelet Mallat algorithm","authors":"Xiaoyuan Wang, Jinglei Zhang","doi":"10.1109/SMCIA.2005.1466967","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466967","url":null,"abstract":"For aim applied to develop intelligent transportation system and the characteristic of traffic flow breakdown, a traffic incident detection method based on fast Mallat algorithm of wavelet analysis is presented. Utilizing the association between the wavelet coefficients and traffic flow, the condition of traffic flow can be extracted directly from the approximate coefficients and detail coefficients of wavelet decomposition from traffic flow parameters. Using data obtained from the simulation under the condition of incident and non-incident, parameters of the algorithm are calibrated and an off-line test is made. According to results of the test compared with California algorithm, low-pass algorithm and MLF algorithm, the algorithm performs better than the other algorithms in traffic incident detection.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125687321","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}
引用次数: 6
Neuro-classification of fatigued bill based on tensional acoustic signal 基于张力声信号的疲劳喙神经分类
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466968
M. Teranishi, T. Matsui, S. Omatu, T. Kosaka
{"title":"Neuro-classification of fatigued bill based on tensional acoustic signal","authors":"M. Teranishi, T. Matsui, S. Omatu, T. Kosaka","doi":"10.1109/SMCIA.2005.1466968","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466968","url":null,"abstract":"In the practical use of automated teller machines (ATM's), dealing with much fatigued bills causes serious trouble. To avoid this problem, rapid development of automatic classification methods that can be implemented on banking machines is desired. We propose a new automatic classification method of fatigued bill based on acoustic signal feature of a banking machine. Feeding a bill to a banking machine, a typical acoustic signal is emitted in the transportation part of the machine by tensioning the slackness of the bill transportation. The proposed method focuses on the fact that the tensional acoustic signal features differ in fatigue level of the bill, and uses spectral information of the tensional acoustic signal as the feature for classification of fatigued bill. The proposed method also uses the self organizing map (SOM) type neural network as the classifier to get high classification performance. Simulation results by using real tensional acoustic signal show the effectiveness of the proposed method.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134618354","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}
引用次数: 6
A novel evolutionary algorithm for MCP using MEC 一种新的基于MEC的MCP进化算法
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466955
C. Sun, W.J. Li, X.Z. Gao
{"title":"A novel evolutionary algorithm for MCP using MEC","authors":"C. Sun, W.J. Li, X.Z. Gao","doi":"10.1109/SMCIA.2005.1466955","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466955","url":null,"abstract":"A novel evolutionary algorithm for the maximum clique problem (MCP) is presented in the paper. That is called MCP-MEC1 and is based on mind evolutionary computation (MEC). The construction of individuals, groups, operations-similartaxis and dissimilation and the evaluation of individuals are accomplished for MCP. 21 benchmark graphs collected by DIMACS (Discrete Mathematics and Theoretical Computer Science) are used to evaluate the performance of the MCP-MEC1 algorithm. The results obtained by MCP-MEC1 are compared with those obtained by two best algorithms for the MCP, RLS (reactive local search) and HGA (heuristic based genetic algorithm). It is shown that the MCP-MEC1 outperforms HGA and is as good as RLS. So the MCP-MEC1 is one of the best heuristic algorithms for the MCP.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693832","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}
引用次数: 0
Using fuzzy logic in low cost microcontroller to increase accelerometer performances 在低成本微控制器中应用模糊逻辑提高加速度计性能
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466939
J. Gaysse
{"title":"Using fuzzy logic in low cost microcontroller to increase accelerometer performances","authors":"J. Gaysse","doi":"10.1109/SMCIA.2005.1466939","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466939","url":null,"abstract":"In recent years, navigation systems have appeared in a wide range of applications (automotive, aviation, robots...). Most of them embed the Global Positioning System (GPS), which is still expensive, sensitive to electronic interference and not efficient for indoor areas. An absolute positioning system (Dead-Reckoning) is preferable in these situations. On the other hand, low cost inertial sensors (MEMS) are now available. They provide kinetic information (acceleration, rotation speed...) but are not accurate enough for direct use in navigation applications. This paper explains how to use smart processing, fuzzy-logic based, in order to accurately estimate a linear position with an accelerometer. Experimental results show the efficiency of this algorithm computed in real time in an AT91SAM7S64 microcontroller.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124763816","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}
引用次数: 5
Fuzzy logic based impulse test analysis 基于模糊逻辑的脉冲测试分析
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466945
S. Jayalalitha, V. Jayashankar
{"title":"Fuzzy logic based impulse test analysis","authors":"S. Jayalalitha, V. Jayashankar","doi":"10.1109/SMCIA.2005.1466945","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466945","url":null,"abstract":"A fusion of hard and soft computing is proposed for the impulse analysis problem. An optimal hardware platform for the data acquisition and a minimal set of simulations form the hard computing element. As the number of simulations can become unbounded to cater to all types of faults, a soft computing approach based on fuzzy logic is proposed. This can lead to automation of impulse analysis function.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127206484","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}
引用次数: 6
A study on the differences in the interpolation capabilities of models 模型插值能力差异的研究
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466973
I. Juutilainen, J. Roning, P. Laurinen
{"title":"A study on the differences in the interpolation capabilities of models","authors":"I. Juutilainen, J. Roning, P. Laurinen","doi":"10.1109/SMCIA.2005.1466973","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466973","url":null,"abstract":"We examined the interpolation capabilities of learning methods using simulated data sets and a real data set. We compared five common learning methods for their generalisation capability on the boundaries of the training data set also; we examined the effects of the complexity of models on interpolation capability. Our main results were that there are differences between the different model families, but model complexity does not have a major effect on interpolation capability. The multi-layer perceptron, support vector regression and additive spline models outperformed local linear regression and quadratic regression in interpolation capabilities. Information about the interpolation capability of models is useful when, for example, evaluating the reliability of prediction.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125606973","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}
引用次数: 3
Worker ants' rule-based genetic algorithms dealing with changing environments 工蚁基于规则的遗传算法处理不断变化的环境
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466958
A. Kamiya, Fumiaki Makino, S. Kobayashi
{"title":"Worker ants' rule-based genetic algorithms dealing with changing environments","authors":"A. Kamiya, Fumiaki Makino, S. Kobayashi","doi":"10.1109/SMCIA.2005.1466958","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466958","url":null,"abstract":"Contrary to popular belief, biologists discovered that worker ants are really not all hardworking. It has been found that in three separate 30-strong colonies of black Japanese ants (Myrmecina nipponica), about 20% of worker ants are diligent, 60% are ordinary, and 20% are lazy. That is called 20:60:20 rule. Though they are lazy, biologists suggested that lazy worker ants could be contributing something to the colony that is yet to be determined. This paper verified that genetic algorithms (GAs) with this worker ants' rule can solve an artificial ant problem efficiently in changing environments. In our approach, for each generation, we preserve not only individuals of high fitness but also individuals of low fitness. As a result of simulation conducted in a changing environment, the best performance of our proposed GA was obtained when the number of preserved individuals of high fitness and low fitness are each close to 20% of the population, while the remaining nearly 60% individuals are created by genetic operations, namely, crossover and mutation. This simulation result reinforces the 20:60:20 rule discovered in nature ant colonies. In a changing environment, this simulation result also indicates that worker ants' rule-based GA outperforms simple GA and CHC.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132791226","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}
引用次数: 5
Using the NextClosure algorithm to extract rules from trained neural networks application in solar energy systems 利用NextClosure算法从训练好的神经网络中提取规则，应用于太阳能系统
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466970
Renato Vimieiro, Luis E. Zárate, E. M. Pereira, N. Vieira
{"title":"Using the NextClosure algorithm to extract rules from trained neural networks application in solar energy systems","authors":"Renato Vimieiro, Luis E. Zárate, E. M. Pereira, N. Vieira","doi":"10.1109/SMCIA.2005.1466970","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466970","url":null,"abstract":"Due to their capability of dealing with nonlinear problems, artificial neural networks (ANN) is widely used with several purposes. Once trained, they are capable to solve unprecedented situations, keeping tolerable errors in their outputs. However, humans cannot assimilate the knowledge kept by those nets, since such knowledge is implicitly represented by their connections weights. So, in order to facilitate the extraction of rules that describe the knowledge of ANN, formal concept analysis (FCA) and the NextClosure algorithm have been used. Such method is presented in this work, combining ANN, FCA and the NextClosure algorithm to compute the minimal implication base (Stem Base). As an example, solar energy systems are the domain application considered here, due to their importance as substitutes of traditional energy systems.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115593549","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}
引用次数: 9
Order estimation in affine state-space neural networks 仿射状态空间神经网络的阶数估计
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466961
P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos
{"title":"Order estimation in affine state-space neural networks","authors":"P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos","doi":"10.1109/SMCIA.2005.1466961","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466961","url":null,"abstract":"The problem of order evaluation for an affine state-space neural network or equivalently the estimation of the number of neurons to be inserted in the hidden layer in a recurrent neural network is here addressed. The proposed method is based on a singular value decomposition applied to an oblique subspace projection given as the projection of the row space of future outputs into the past inputs-outputs row space, along the future inputs row space.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114614972","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}
引用次数: 3
Nonlinear adaptive internal model control using neural networks for tilt rotor aircraft platform 基于神经网络的倾斜旋翼飞机平台非线性自适应内模控制
Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05. Pub Date : 2005-06-28 DOI: 10.1109/SMCIA.2005.1466940
Changjie Yu, Jihong Zhu, Zeng-qi Sun
{"title":"Nonlinear adaptive internal model control using neural networks for tilt rotor aircraft platform","authors":"Changjie Yu, Jihong Zhu, Zeng-qi Sun","doi":"10.1109/SMCIA.2005.1466940","DOIUrl":"https://doi.org/10.1109/SMCIA.2005.1466940","url":null,"abstract":"An adaptive internal model controller using neural networks is designed for a tilt rotor aircraft platform. The behavior of the research platform, in certain aspects, resembles that of a tilt rotor aircraft. The proposed control architecture can alleviate the requirement of extensive gain scheduling of tilt rotor aircraft and compensate external disturbances, as well as dynamic inversion error. The controller includes an online learning neural network of inverse model and an offline trained neural network of forward model. Lyapunov stability analysis guarantees tracking errors and network parameters are bounded. The performance of the controller is demonstrated using the tilt rotor aircraft platform, with consistent response outcomes throughout experimental performing, including two nacelles tilting flight.","PeriodicalId":283950,"journal":{"name":"Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129316969","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}
引用次数: 11
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