{"title":"Non-contact stiffness imager for medical application","authors":"T. Kawahara, M. Kaneko","doi":"10.1109/ICIA.2005.1635111","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635111","url":null,"abstract":"This paper discusses a non-contact stiffness imager that can provide us with the pattern of a stiffness (or pseudo-stiffness) distribution of environment. While there are four combinations between the force applying method and the way for measuring the displacement, we pick up the combination in which the force is given to the environment at a local point and the displacement of environment is measured in the neighboring area where the force is given. We first explain the basic idea by utilizing the experimental system composed of an air supply system and a scanning type line laser sensor. We also apply the idea to an endoscope camera capable of obtaining the pseudo-stiffness pattern as well as the visual pattern.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"136 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":"131426351","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":"Active shock noise cancellation with variable step-size algorithms","authors":"M. Pan, Ji-Yao Liu","doi":"10.1109/ICIA.2005.1635081","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635081","url":null,"abstract":"The study aims to suppress the transient and nonstationary high-SPL (sound pressure level) shock noise. A full-size acrylic model is built up for mimicking the sound field of the control room of a rocket-launching vehicle. For achieving the noise reduction, an adaptive algorithm called the FXLMS is applied to implement the active noise control system. The convergence speed and stability of the FXLMS-type systems depend on the step-size values mainly. They are usually difficult to be decided for fast converging, and keeping the system stable. In the study, the variable step-size algorithms are implemented to automatically select an appropriate step size varying with the system status for desired performance. Experimental results show that the ANC system with the variable step-size algorithm performs well both in complex harmonic and transient high-SPL shock noise environments.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"26 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":"125474120","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":"Water mine data fusion and model recognition","authors":"Haibo Liu, Guochang Gu, Jing Shen, Yan Fu","doi":"10.1109/ICIA.2005.1635152","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635152","url":null,"abstract":"It is significant for a MCS (mine countermeasure system) to recognize the model of a water mine exactly in order to take right destroying measures. In this paper, the ABNET proposed by L.N. de Castro is simplified and employed in a multi-agent-based MCS for fusing the feature data and recognizing the model of water mines. The simplified ABNET (sABNET) is a two-layer Boolean network which number of outputs is adaptable according to the task and which recognition precision can be controlled by the immune affinity threshold. Compared with Castro's work, the sABNET converges more quickly.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"17 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":"121165542","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":"Voice based robot control","authors":"P.X. Liu, A. Chan, R. Chen, K. Wang, Y. Zhu","doi":"10.1109/ICIA.2005.1635148","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635148","url":null,"abstract":"A voice-based system has been developed to control a mobile robot using oral commands. The system is divided into two main components: speech recognition engine and robotic control unit. In the speech recognition engine, hidden Markov models are used as the main method in recognizing oral commands. The robotic control unit is developed under the ARIA environment, which is provided by the robot manufacturer.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"9 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":"125319530","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}
Ming Meng, Y. Ge, Zhongcheng Wu, Ping Fang, Fei Shen
{"title":"Accuracy of a force sensitive digital tablet in determining the position of force application","authors":"Ming Meng, Y. Ge, Zhongcheng Wu, Ping Fang, Fei Shen","doi":"10.1109/ICIA.2005.1635098","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635098","url":null,"abstract":"In this paper, the accuracy in determining the position of force application with a novel force sensitive digital tablet is evaluated and improved. A loading system consisting of a strip-shaped board with a stylus and a plate with grid is used to apply a point load on the tablet. In static experiments, the stylus is placed on 49 equidistant locations respectively, and calibrated masses are used to exert vertical force from 0.25 N to 5 N. Dynamic experiments are also performed by means of drawing on the loading board. Experimental results show that the systematic error is nonlinearly dependent on the actual position of force application, and almost independent of the magnitude of exerted force vector. Dynamic experimental results also suggest that this tablet can determine the position as accurately in dynamic conditions as in static conditions. According to the observed error distribution, the measured positions are corrected using artificial neural network (ANN). The encouraging results of the correction indicate that the proposed correction procedure can provide significant improvement in the performance of the tablet in determining the position of force application.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"7 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":"133529397","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 multi-agent cooperative Q-learning","authors":"Dongbing Gu, Huosheng Hu","doi":"10.1109/ICIA.2005.1635080","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635080","url":null,"abstract":"This paper presents a cooperative reinforcement learning algorithm of multi-agent systems. The cooperative behaviour is established within a leader-following framework. Specifically, the cooperative dynamics is modelled as a Stackelberg game. Based on the equilibrium definition of the Stackelberg game, a leader-following Q-learning algorithm is developed. The algorithm is generalised over continuous state space by using fuzzy logic.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"19 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":"116102839","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":"Design of a silicon magnetodiodes array with self-compensation for temperature drift","authors":"Dongfeng Zhang, Deyi Kong, Yongchun Tao, Jianhua Shan","doi":"10.1109/ICIA.2005.1635070","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635070","url":null,"abstract":"The paper describes the design of a silicon magnetodiodes array with self-compensation for temperature drift, which is used for perpendicular-plane magnetic field sensing. Individual sensor cells comprise a pair of silicon magnetodiodes with differential structure. The magnetodiodes array can be fabricated on the surface of high-resistivity silicon on insulator (SOI) with the combination of IC process and micro-electro-mechanical system (MEMS) techniques, the proposed fabrication process is provided.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"80 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":"126216466","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":"Web structure mining: an introduction","authors":"M.G. da Costa, Zhiguo Gong","doi":"10.1109/ICIA.2005.1635156","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635156","url":null,"abstract":"Due to the increasing amount of data available online, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discoveries. Web mining technologies are the right solutions for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering, and Web based data warehousing. In this paper, we provide an introduction of Web mining as well as a review of the Web mining categories. Then we focus on one of these categories: the Web structure mining. Within this category, we introduce link mining and review two popular methods applied in Web structure mining: HITS and PageRank.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"17 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":"130224342","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":"Comparative analysis of piezoelectric power harvesting circuits for rechargeable batteries","authors":"M. Guan, W. Liao","doi":"10.1109/ICIA.2005.1635089","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635089","url":null,"abstract":"Using piezoelectric materials to harvest energy from ambient vibrations to power wireless sensors has been of great interest over the past few years. Due to the power output of the piezoelectric materials is relatively low, rechargeable battery is considered as one kind of energy storage to accumulate the harvested energy for intermittent use. Piezoelectric harvesting circuits for rechargeable batteries have two schemes: non-adaptive and adaptive ones. A non-adaptive harvesting scheme includes a conventional diode bridge rectifier and a passive circuit. In recent years, several researchers have developed adaptive schemes for the harvesting circuit. Among them, the adaptive harvesting scheme by Ottman et al. is the most promising. This paper is aimed to quantify the performances of adaptive and non-adaptive schemes and to discuss their performance characteristics.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"20 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":"121953233","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 piezoelectric bimorph micro-gripper with micro-force sensing","authors":"Xinhan Huang, Jianhua Cai, Min Wang, Xiadong Lv","doi":"10.1109/ICIA.2005.1635071","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635071","url":null,"abstract":"A new piezoelectric bimorph micro-gripper with micro-force sensing is presented in the paper. The micro-gripper is based on the dual cantilevers structure and is driven by two piezoelectric bimorphs. Sticking two strain gauges on both sides of the base of the piezoelectric bimorph to sense free end transmutation of the bimorph, we can get displacement-voltage relationship and force-strain relationship respectively. As a result the gripper has the ability to detect micro-force when it is gripping micro-parts. The experiment results show that the gripper works reliably and safely. It is satisfied with the tasks of micro assembly.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"61 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":"115937509","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}