Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373371
Jinmao Wei, Wei-Guo Yi, Ming-Yang Wang, Shuqin Wang
It is comprehensible that to find as much interesting knowledge as possible is the initial and main aim to mine data, no matter which pattern (parallel or sequential) is utilized in data mining, though parallelism is practically important as well. We present a principle, called DFDP, for partitioning large dataset-the first step for parallelization. Data subsets after partitioning are treated tendentiously for possible parallel or distributed processing. One feasible logical structure for parallel processing is recommended in the paper. Also experimental comparisons are reported in the paper, which shows that weighted data mining will find more interesting rules from data.
{"title":"Data feature oriented data partition and weighted data mining","authors":"Jinmao Wei, Wei-Guo Yi, Ming-Yang Wang, Shuqin Wang","doi":"10.1109/ICIA.2004.1373371","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373371","url":null,"abstract":"It is comprehensible that to find as much interesting knowledge as possible is the initial and main aim to mine data, no matter which pattern (parallel or sequential) is utilized in data mining, though parallelism is practically important as well. We present a principle, called DFDP, for partitioning large dataset-the first step for parallelization. Data subsets after partitioning are treated tendentiously for possible parallel or distributed processing. One feasible logical structure for parallel processing is recommended in the paper. Also experimental comparisons are reported in the paper, which shows that weighted data mining will find more interesting rules from data.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124408945","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373334
Jing Kang, Hong-ying Hu
Some information, which is not the same as the traditional cause of vibration of diesel engine's high-pressure fuel pipe is given by the use of modern detection technology. From the information & theory analysis, the real cause of vibration of high-pressure fuel pipe is found. The cause is elastic deformation of the pipe. High-pressure of fuel in the course of fuel injection makes the pipe's cross section get elastic deformation and then the curvature of pipe get elastic deformation. That is to say, the real cause is Bourdon Effect of pipe. In the view of energy, the relations of the energy between pressure energy of fuel, strain energy & elastic energy of pipe are described. So the vibration of the high-pressure pipe is caused mainly by the Bourdon Effect, and is one of the main causes of fuel injection system fault.
{"title":"Vibration detection & diagnosis for high-pressure fuel pipe of diesel engineer","authors":"Jing Kang, Hong-ying Hu","doi":"10.1109/ICIA.2004.1373334","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373334","url":null,"abstract":"Some information, which is not the same as the traditional cause of vibration of diesel engine's high-pressure fuel pipe is given by the use of modern detection technology. From the information & theory analysis, the real cause of vibration of high-pressure fuel pipe is found. The cause is elastic deformation of the pipe. High-pressure of fuel in the course of fuel injection makes the pipe's cross section get elastic deformation and then the curvature of pipe get elastic deformation. That is to say, the real cause is Bourdon Effect of pipe. In the view of energy, the relations of the energy between pressure energy of fuel, strain energy & elastic energy of pipe are described. So the vibration of the high-pressure pipe is caused mainly by the Bourdon Effect, and is one of the main causes of fuel injection system fault.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132651351","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373419
Xiujun Wang, Y. Ge, B. Xiao, Yong Yu
Considering the deficiency of present robotic force control algorithm, we introduce artificial intelligent method in this paper. We attempt to combine fuzzy control theory with impedance control strategy, and attempt to control the external force on the robotic end-effector by this quomodo. The structure of the system is presented and the force controller is designed. Finally we show the results based on the practical experiments. It is a more effective strategy to solve the robotic force control problem.
{"title":"Application study of robotic control system based on force information","authors":"Xiujun Wang, Y. Ge, B. Xiao, Yong Yu","doi":"10.1109/ICIA.2004.1373419","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373419","url":null,"abstract":"Considering the deficiency of present robotic force control algorithm, we introduce artificial intelligent method in this paper. We attempt to combine fuzzy control theory with impedance control strategy, and attempt to control the external force on the robotic end-effector by this quomodo. The structure of the system is presented and the force controller is designed. Finally we show the results based on the practical experiments. It is a more effective strategy to solve the robotic force control problem.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130702965","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373365
X. Dai, Dongchuan Yu, Yuhan Ding, Wancheng Wang
This paper presents a novel soft-sensing approach based on artificial neural network (ANN) inversion to estimate some crucial biochemical parameters in erythromycin fermentation, which usually can not be directly measurable by commercial sensors. Such direct-unmeasurable variables as mycelia concentration, sugar concentration and chemical potency, can be derived from other direct-measurable variables such as dissolved oxygen concentration, pH, and volume by using the proposed ANN inversion. The ANN inversion consists of a static ANN and several differentiators and acts as a soft-sensor. Experimental results show that the soft-sensing values are almost identical with the actual ones and the proposed method would be helpful for the real-time control of the biochemical fermentation.
{"title":"ANN inversion based soft-sensing of biochemical parameters in erythromycin fermentation","authors":"X. Dai, Dongchuan Yu, Yuhan Ding, Wancheng Wang","doi":"10.1109/ICIA.2004.1373365","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373365","url":null,"abstract":"This paper presents a novel soft-sensing approach based on artificial neural network (ANN) inversion to estimate some crucial biochemical parameters in erythromycin fermentation, which usually can not be directly measurable by commercial sensors. Such direct-unmeasurable variables as mycelia concentration, sugar concentration and chemical potency, can be derived from other direct-measurable variables such as dissolved oxygen concentration, pH, and volume by using the proposed ANN inversion. The ANN inversion consists of a static ANN and several differentiators and acts as a soft-sensor. Experimental results show that the soft-sensing values are almost identical with the actual ones and the proposed method would be helpful for the real-time control of the biochemical fermentation.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131401817","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373406
Jianxing Zhang, J. Wei, T. Zhong
A generalized predictive control (GPC) is introduced, which is applied to the temperature control of a batch-dyeing machine. GPC has good robust and performance in control domain compared to tradition PID, but it is more complex than PID, which means that it is uneasy to implement and tune the GPC in some controllers having only limited mathematic computation ability. But for the fact that a wide class of industrial processes including dyeing process can be modelled approximately with few parameters, the GPC control law can be directly related to the process parameters with some simple polynomials functions. With this method, GPC can be implemented and tuned in a straightforward manner as simple as the PID and thus more industrial practices including dyeing process would enjoy the good performance of GPC.
{"title":"A generalized predictive controller to a thermal process for batch dyeing process","authors":"Jianxing Zhang, J. Wei, T. Zhong","doi":"10.1109/ICIA.2004.1373406","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373406","url":null,"abstract":"A generalized predictive control (GPC) is introduced, which is applied to the temperature control of a batch-dyeing machine. GPC has good robust and performance in control domain compared to tradition PID, but it is more complex than PID, which means that it is uneasy to implement and tune the GPC in some controllers having only limited mathematic computation ability. But for the fact that a wide class of industrial processes including dyeing process can be modelled approximately with few parameters, the GPC control law can be directly related to the process parameters with some simple polynomials functions. With this method, GPC can be implemented and tuned in a straightforward manner as simple as the PID and thus more industrial practices including dyeing process would enjoy the good performance of GPC.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131573333","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373338
Rui Qiao, Bo Chen
This paper puts forward a method of bringing neural network to bear intrusion detection. When the average error can't decrease any longer, the hereditary algorithm will be used to continuatively train the network in the interest of acquiring optimized join parameter. The network structure and network joining parameter will evolve at the same time by the neural network and hereditary algorithm. The convergence effect is good and the adaptivity is strong, suitable for real-time processing.
{"title":"Intrusion detection method research based on optimized self-buildup clustering neural network","authors":"Rui Qiao, Bo Chen","doi":"10.1109/ICIA.2004.1373338","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373338","url":null,"abstract":"This paper puts forward a method of bringing neural network to bear intrusion detection. When the average error can't decrease any longer, the hereditary algorithm will be used to continuatively train the network in the interest of acquiring optimized join parameter. The network structure and network joining parameter will evolve at the same time by the neural network and hereditary algorithm. The convergence effect is good and the adaptivity is strong, suitable for real-time processing.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128449850","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373336
Zhiqiang Geng, Qunxiong Zhu
A novelty method of wavelet-based adaptive multiscale principal component analysis (MSPCA) is proposed for process signal acquisition and diagnosis. The wavelet transform is used to decompose the process signals and at the same time analyze the different scales signals based on multiresolution signal analysis, and then the signals are reconstructed in order to denoise and get rid of disturbances. The adaptive PCA algorithm is adopted to monitor and diagnose abnormal situations on the basis of the multiscale wavelet coefficients, analyze the slow and feeble changes of fault signals that can't be acquisition and monitored by conventional PCA. Furthermore, the theoretic framework and practical process of wavelet-based adaptive MSPCA algorithm about online process signals monitoring and diagnosis are also proposed. Experimental simulations and practical application results verify the validity and dependability of the proposed method.
{"title":"A wavelet-based adaptive MSPCA for process signal monitoring & diagnosis","authors":"Zhiqiang Geng, Qunxiong Zhu","doi":"10.1109/ICIA.2004.1373336","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373336","url":null,"abstract":"A novelty method of wavelet-based adaptive multiscale principal component analysis (MSPCA) is proposed for process signal acquisition and diagnosis. The wavelet transform is used to decompose the process signals and at the same time analyze the different scales signals based on multiresolution signal analysis, and then the signals are reconstructed in order to denoise and get rid of disturbances. The adaptive PCA algorithm is adopted to monitor and diagnose abnormal situations on the basis of the multiscale wavelet coefficients, analyze the slow and feeble changes of fault signals that can't be acquisition and monitored by conventional PCA. Furthermore, the theoretic framework and practical process of wavelet-based adaptive MSPCA algorithm about online process signals monitoring and diagnosis are also proposed. Experimental simulations and practical application results verify the validity and dependability of the proposed method.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131675813","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373352
Changchun Liu, D. Cui
Poly (dimethylsiloxane) (PDMS) had been extensively used as excellent microchip material due to its particular advantages. In this paper, Laser-induced fluorescence detection system for visualizing microchip electrophoresis had been constructed and a series of electrophoresis operation of DNA fragments labeled by SYBR Green I were imaged by charge coupled device (CCD) camera. We investigated the influence of the sieving matrix concentration and the electric field strength on the formation of sample injection plug. PCR markers were well separated in PDMS microchip.
聚二甲基硅氧烷(PDMS)由于其独特的优点而被广泛用作优良的微芯片材料。本文构建了用于微芯片电泳可视化的激光诱导荧光检测系统，并利用电荷耦合器件(CCD)相机对SYBR Green I标记的DNA片段进行了一系列电泳操作。研究了筛分基质浓度和电场强度对进样塞形成的影响。PCR标记在PDMS芯片上分离良好。
{"title":"Separation imaging of DNA fragments in poly (dimethylsiloxane) microchip","authors":"Changchun Liu, D. Cui","doi":"10.1109/ICIA.2004.1373352","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373352","url":null,"abstract":"Poly (dimethylsiloxane) (PDMS) had been extensively used as excellent microchip material due to its particular advantages. In this paper, Laser-induced fluorescence detection system for visualizing microchip electrophoresis had been constructed and a series of electrophoresis operation of DNA fragments labeled by SYBR Green I were imaged by charge coupled device (CCD) camera. We investigated the influence of the sieving matrix concentration and the electric field strength on the formation of sample injection plug. PCR markers were well separated in PDMS microchip.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134568666","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373405
Xiaojun Zhao, Qiang Huang, Peng Du, Dongming Wen, Kejie Li
The captured data must be adapted for the humanoid because its kinematics and dynamic differ from those of the human actor. The kinematics constraints such as ground contact conditions are crucial for humanoid locomotion. Furthermore, it is desirable that the humanoid motion have of high similarity with those of the human actor. In this paper, first the similarity function of the humanoid motion is proposed. Then, the kinematics constrains including ground contact conditions are formulated, and the algorithm to derive the humanoid motion with a high similarity and satisfying kinematics constraints is present. Finally, the effectiveness is confirmed by the experiment of Chinese Kongfu "Taiji" using our developed 33 DOF humanoid robot.
{"title":"Humanoid kinematics mapping and similarity evaluation based on human motion capture","authors":"Xiaojun Zhao, Qiang Huang, Peng Du, Dongming Wen, Kejie Li","doi":"10.1109/ICIA.2004.1373405","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373405","url":null,"abstract":"The captured data must be adapted for the humanoid because its kinematics and dynamic differ from those of the human actor. The kinematics constraints such as ground contact conditions are crucial for humanoid locomotion. Furthermore, it is desirable that the humanoid motion have of high similarity with those of the human actor. In this paper, first the similarity function of the humanoid motion is proposed. Then, the kinematics constrains including ground contact conditions are formulated, and the algorithm to derive the humanoid motion with a high similarity and satisfying kinematics constraints is present. Finally, the effectiveness is confirmed by the experiment of Chinese Kongfu \"Taiji\" using our developed 33 DOF humanoid robot.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133101723","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}
Pub Date : 2004-06-21DOI: 10.1109/ICIA.2004.1373350
Xiaowen Liu, Guizhen Chen, Dianping Li
This paper puts forward a new method of detecting consistence of emulsification liquid. This method is based on the mechanism of Verturi meters. The consistence could be deduced from Bernoulli Equation of the liquid. The consistence of emulsification liquid can be adjusted by adjusting the pressure of input water and the level of the oil. Based on this method, the hardware and software of the device is presented in this paper. The structure of the device is simple and the device is suitable for using in underground coal mine.
{"title":"The design of a novel detecting device of consistence of emulsification liquid","authors":"Xiaowen Liu, Guizhen Chen, Dianping Li","doi":"10.1109/ICIA.2004.1373350","DOIUrl":"https://doi.org/10.1109/ICIA.2004.1373350","url":null,"abstract":"This paper puts forward a new method of detecting consistence of emulsification liquid. This method is based on the mechanism of Verturi meters. The consistence could be deduced from Bernoulli Equation of the liquid. The consistence of emulsification liquid can be adjusted by adjusting the pressure of input water and the level of the oil. Based on this method, the hardware and software of the device is presented in this paper. The structure of the device is simple and the device is suitable for using in underground coal mine.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133270209","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}
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