I. Randria, M. B. Ben Khelifa, M. Bouchouicha, P. Abellard
{"title":"A Comparative Study of Six Basic Approaches for Path Planning Towards an Autonomous Navigation","authors":"I. Randria, M. B. Ben Khelifa, M. Bouchouicha, P. Abellard","doi":"10.1109/IECON.2007.4460164","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460164","url":null,"abstract":"The optimal path search is important in navigation learning with an electrical wheelchair. This paper studies six basic approaches for path planning in a static environment: breath-first search, depth-first search, A*, Moore-Dijkstra, neural approach and genetic algorithms. Firstly, the environment is modeled in a 2D grid and the genetic approach has fixed chromosome length. Then the genetic approach is evaluated within a grid free environment and with variable chromosome lengths. The latter approach offers good solution in precision and in computation time, under certain conditions. Tests are led and the results are discussed through experiments.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130561906","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}
Keng-Shiang Huang, Wei-Ting Chen, Sheng-Ji Lee, C. Yen, T. Chang, H. Lin, Yu-Cheng Lin
{"title":"A Novel and Efficient Immunoassay: Using Electro-Microchip, Gold Nanoparticle and Silver Enhancement","authors":"Keng-Shiang Huang, Wei-Ting Chen, Sheng-Ji Lee, C. Yen, T. Chang, H. Lin, Yu-Cheng Lin","doi":"10.1109/IECON.2007.4459931","DOIUrl":"https://doi.org/10.1109/IECON.2007.4459931","url":null,"abstract":"This paper reports a novel immunoassay using an electro-microchip to detect the immuno-reaction signal, a gold nanoparticles (AuNPs) as a label of antigen or antibody and as a catalyst for silver precipitation, and the silver enhancement reaction to magnify the detection signal. The LCR meter instrument, a new detection method for immunoassay, is used to detect the electric single in a sandwich format. The change of the resistance to corroborate immuno-reaction is detected, amplified and analyzed to construct this new immunoassay. Different sizes of the electrodes are designed to discuss the relationship between gap size and sensitivity. In addition, the specificity, sensitivity and the detection limit of the electro-immunoassay are discussed. Using electro-microchip, nanoparticle and silver enhancement provided a new immunoassay method.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124168643","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":"Incremental Hyperplane-based Fuzzy Clustering for System Modeling","authors":"Chang-Hyun Kim, Min-Soeng Kim","doi":"10.1109/IECON.2007.4460314","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460314","url":null,"abstract":"In this paper, a new incremental hyperplane-based fuzzy clustering method to design a Takagi-Sugeno-Kang (TSK) fuzzy model is proposed. Starting from no rule, it generates clusters based on input similarity and distance from the consequent hyperplane incrementally. Membership functions (MFs) are defined with statistical means and deviations of partitioned data. With this configuration, the obtained clusters reflect the real distribution of the training data properly. The training equations are changed to recursive forms in order to be applied in incremental framework. Some heuristic techniques to guarantee the initial training of each local submodel is used. In order to reduce the dependency on the order of training data, merge step is performed. Merge step is not only important for keeping rule bases compact and interpretable, but also provides the robustness to noise. Some simulations are done to show the advantages and performance of the proposed method.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"40 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114293685","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 Position Estimation of Mobile Robot Under Dynamic Environment","authors":"Byoung-Suk Choi, Jujang Lee","doi":"10.1109/IECON.2007.4460261","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460261","url":null,"abstract":"Localization is most important and necessary technology for mobile robot to work well. The robots need to recognize their position and pose in known environment as well as unknown environment. In the future, the robots will be human-friendly robots that are able to coexist with humans in dynamic space. The localization includes several restrictions which arise from dynamic obstacles - people, moving chair, and so on. It is desirable for a mobile robot to estimate his position using dynamic obstacles. In this paper, we propose the method for the localization of the mobile robot using a moving object. Throughout the computer simulation experiments, its performance is verified.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126894704","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":"Fuzzy Boundary Layer Tuning as Applied to the Control of a Direct Drive Robot","authors":"K. Erbatur, B. Çalli","doi":"10.1109/IECON.2007.4460264","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460264","url":null,"abstract":"Chattering in the control signal is a significant problem in sliding mode control applications. The boundary layer approach is one of the many modifications proposed in the literature to avoid the chattering. In this approach, instead of the discontinuous sliding mode control, a high gain feedback control law is employed. The thickness of the boundary layer is an important design parameter. This paper proposes a fuzzy on-line tuning method to adjust the boundary layer thickness for the best system performance without chattering. The method features the measurement of the chattering in the control signal. Experimental results with a two degrees of freedom direct drive robot arm are presented.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114612590","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":"Body Slip Angle Estimation and Control for Electric Vehicle with In-Wheel Motors","authors":"Cong Geng, T. Uchida, Yoichi Hori","doi":"10.1109/IECON.2007.4460281","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460281","url":null,"abstract":"In this paper, by making use of the important merit that electric vehicle's motor torque can be measured and controlled accurately, a body slip angle (beta angle) observer based on nonlinear tire model and a novel control method of body slip angle are introduced. Experimental results by UOT March II are shown to verify the effectiveness of the proposed observer. Simulations and tests are conducted to test the control method. The torque difference can be generated directly with in-wheel motors to control body slip angle at its desired value to keep vehicle's stability.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999417","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}
M. Anisetti, V. Bellandi, E. Damiani, Gwanggil Jeon, Jechang Jeong
{"title":"An Adaptable Architecture for Human-Robot Visual Interaction","authors":"M. Anisetti, V. Bellandi, E. Damiani, Gwanggil Jeon, Jechang Jeong","doi":"10.1109/IECON.2007.4460411","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460411","url":null,"abstract":"Face recognition has received increasing attention during the past decade as one of the most promising applications of image analysis and processing. One emerging application field is Human-Machine Interaction involving robotic vision. For many applications in this field (including face identification and expression recognition) the precision of facial feature detection and the computational burden are both critical issues. This paper presents a completely tunable hybrid method for accurate face localization based on a quick-and-dirty preliminary detection followed by a 2D tracking. Our technique guarantees complete control over the performance/result quality ratio and can be successfully applied to intelligent robotic vision. We use our approach to design a Robotic Vision Architecture capable of selecting from a set of strategies to obtain the best results.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123108578","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":"Identification Method for Plant Dynamics Over Nyquist Frequency","authors":"M. Kawafuku, J. Eom, H. Hirai","doi":"10.1109/IECON.2007.4460250","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460250","url":null,"abstract":"This paper presents a precise identification technique for plant dynamic characteristics under the restricted sampling rate of A/D and D/A converters. The proposal technique can expand the identification frequency range based on an interpolation method, achieving twice frequency bandwidth as original Nyquist frequency at the identification. The effectiveness of the proposed identification was verified by the results for the head positioning system in hard disk drives.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124397696","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":"A Distance e-Learning Platform for FFT-Based Signal Analysis and Measurement","authors":"H. Lin","doi":"10.1109/IECON.2007.4459949","DOIUrl":"https://doi.org/10.1109/IECON.2007.4459949","url":null,"abstract":"The fast fourier transform (FFT) and the power spectrum are still powerful tools for analyzing and measuring both stationary and transient signals with power system harmonics in power systems. However, the misapplications of FFT can lead to incorrect results caused by some problems such as aliasing effect, spectral leakage and picket-fence effect. Measurement errors can be efficiently reduced by understanding fundamentals of FFT as well as using windows, etc. This paper develops an e- learning and distance learning environment using a graphical programming tool to help electrical students and engineers to enhance their measurement skills in signal analysis via the Internet explorer (IE). Critical issues pertaining to engineering education, such as design of course, expected learning outcomes, assessment of student performance, and course evaluation are discussed in detail.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116936809","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":"A Flexible Piezoelectric Film Sensor for Fault Diagnosis of Pipe Systems","authors":"N. Bu, M. Ichiki, N. Ueno, O. Fukuda, M. Akiyama","doi":"10.1109/IECON.2007.4460155","DOIUrl":"https://doi.org/10.1109/IECON.2007.4460155","url":null,"abstract":"This paper presents a novel application of a flexible piezoelectric film sensor to non-invasive fault diagnosis of industrial pipe systems. This sensor is made of oriented aluminum nitride (AlN) thin film, and the total thickness is less than 40 mum. Flexibility of this sensor facilitates installing to surfaces of pipes. Using this sensor, pressure pulsation in pipe systems and vibration of pipe walls can be measured. From the experimental results, components corresponding to the pressure pulsation and the fluid induced vibration motions were recognized as the low-order modes of the power spectra. Then, a fault diagnosis method is developed with these features. Experiments of blockage detection were conducted using a test pipe system. Validation of the proposed method is confirmed through the experiments.","PeriodicalId":199609,"journal":{"name":"IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127281649","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}