Pub Date : 2009-05-11DOI: 10.1109/CIMSA.2009.5069915
Yan-He Chen, Ya-Wei Ho, Chih-Hung Wu, Chih-Chin Lai
Interpretation of aerial images is an important task in various military and non-military applications. Image segmentation can be viewed as the essential step of extracting features in aerial images. Among many developed segmentation methods, the clustering methods have been extensively investigated and used. The determination of the number of clusters in a dataset is inherently a difficult problem, especially when the a priori information on the dataset is unavailable. In this paper, we propose a genetic algorithm-based clustering approach for aerial image segmentation. Our approach has two advantages: it can automatically determine the proper number of clusters and cluster the data according to the cluster validity index. The performance of the proposed approach is evaluated in conjunction with two cluster validity indices, namely Davies-Bouldin index and Xie-Beni index, respectively. Experimental results are provided to illustrate the feasibility of the proposed approach.
{"title":"Aerial image clustering using genetic algorithm","authors":"Yan-He Chen, Ya-Wei Ho, Chih-Hung Wu, Chih-Chin Lai","doi":"10.1109/CIMSA.2009.5069915","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069915","url":null,"abstract":"Interpretation of aerial images is an important task in various military and non-military applications. Image segmentation can be viewed as the essential step of extracting features in aerial images. Among many developed segmentation methods, the clustering methods have been extensively investigated and used. The determination of the number of clusters in a dataset is inherently a difficult problem, especially when the a priori information on the dataset is unavailable. In this paper, we propose a genetic algorithm-based clustering approach for aerial image segmentation. Our approach has two advantages: it can automatically determine the proper number of clusters and cluster the data according to the cluster validity index. The performance of the proposed approach is evaluated in conjunction with two cluster validity indices, namely Davies-Bouldin index and Xie-Beni index, respectively. Experimental results are provided to illustrate the feasibility of the proposed approach.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125084964","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069912
Mustafijur Rahman, K. L. Baishnab, F. Talukdar
The design and simulation of a novel CMOS voltage mode LTA (Loser-take-all) circuit is described. The circuit employs additional inhibitory and local excitatory feedback based on a common voltage computation and this improves both speed and precision drastically. As a result, a single stage cell provides better resolution in comparison to previous works where cascading of multiple stages is necessary to improve resolution. This makes the circuit suitable for systems where silicon area and power consumption are constraints. Moreover, the feedback arrangement ensures a single loser. Simulations in Cadence show that a single cell can resolve voltage differences as small as 0.5 mV in around 50ns with 1 pF load capacitance. Detailed simulation results along with appropriate mathematical relations have been provided. This circuit is a fundamental building block in the competitive layer of self organizing neural networks, non linear filters, fuzzy and neuromorphic systems.
{"title":"A high precision VLSI loser-take-all circuit for neural networks and fuzzy systems","authors":"Mustafijur Rahman, K. L. Baishnab, F. Talukdar","doi":"10.1109/CIMSA.2009.5069912","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069912","url":null,"abstract":"The design and simulation of a novel CMOS voltage mode LTA (Loser-take-all) circuit is described. The circuit employs additional inhibitory and local excitatory feedback based on a common voltage computation and this improves both speed and precision drastically. As a result, a single stage cell provides better resolution in comparison to previous works where cascading of multiple stages is necessary to improve resolution. This makes the circuit suitable for systems where silicon area and power consumption are constraints. Moreover, the feedback arrangement ensures a single loser. Simulations in Cadence show that a single cell can resolve voltage differences as small as 0.5 mV in around 50ns with 1 pF load capacitance. Detailed simulation results along with appropriate mathematical relations have been provided. This circuit is a fundamental building block in the competitive layer of self organizing neural networks, non linear filters, fuzzy and neuromorphic systems.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128785996","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069924
Wenjin Dai, Baofu Wang, Hua Yang
In accordance with the advantage of conventional hysteretic current control method, this paper advances a novel control method for active power filter (APF). In conventional hysteretic current control, the hysteretic band (HB) is fixed and actual compensating current is limited in a fixed hysteretic band. When the voltage source inverter (VSI) works in high-frequency state, as the switching frequency changes the problems such as increasing switching losses and audible noise will appear. In response to this problem, the constant frequency hysteretic current control method based on variable hysteretic band is advanced in this paper. Firstly, the connection between hysteretic band and switching frequency must be found correctly. Then, the variable hysteretic band current controller is designed according to the connection. Finally, the Matlab simulation results show that the switching frequency of VSI is held nearly constant and the proposed controller can track reference current well. The problems of increasing switching losses and audible noise which happened in high-frequency state can be resolved in conventional hysteretic current control.
{"title":"A hysteretic current controller for active power filter with constant frequency","authors":"Wenjin Dai, Baofu Wang, Hua Yang","doi":"10.1109/CIMSA.2009.5069924","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069924","url":null,"abstract":"In accordance with the advantage of conventional hysteretic current control method, this paper advances a novel control method for active power filter (APF). In conventional hysteretic current control, the hysteretic band (HB) is fixed and actual compensating current is limited in a fixed hysteretic band. When the voltage source inverter (VSI) works in high-frequency state, as the switching frequency changes the problems such as increasing switching losses and audible noise will appear. In response to this problem, the constant frequency hysteretic current control method based on variable hysteretic band is advanced in this paper. Firstly, the connection between hysteretic band and switching frequency must be found correctly. Then, the variable hysteretic band current controller is designed according to the connection. Finally, the Matlab simulation results show that the switching frequency of VSI is held nearly constant and the proposed controller can track reference current well. The problems of increasing switching losses and audible noise which happened in high-frequency state can be resolved in conventional hysteretic current control.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124505536","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069955
D. Kim, M. Park, J. Park, W. Hwang
Superhydrophobic surfaces have been studied extensively for their valuable properties. We fabricated a superhydrophobic surface using a replica anodic aluminum oxide (AAO) template, and grew 3T3-Swiss albino cells on it and on an aluminum, polytetrafluoroethylene (PTFE) surface and a fabricated surface with a superhydrophobic property. As a result by comparison with an aluminum surface and PTFE surface, which exhibited fouling within 3 days, a superhydrophobic surface exhibited high resistance to fouling. It was very difficult for cells to remain and grow on the superhydropbobic surface. There appears to be a correlation between the nature of the superhydrophobic property and the adhesion of the cells. There appears to be a correlation between the nature of the nanoscale roughness in the creation of a superhydrophobic surface.
{"title":"Cell adherence and growth on a fabricated superhydrophobic surface","authors":"D. Kim, M. Park, J. Park, W. Hwang","doi":"10.1109/CIMSA.2009.5069955","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069955","url":null,"abstract":"Superhydrophobic surfaces have been studied extensively for their valuable properties. We fabricated a superhydrophobic surface using a replica anodic aluminum oxide (AAO) template, and grew 3T3-Swiss albino cells on it and on an aluminum, polytetrafluoroethylene (PTFE) surface and a fabricated surface with a superhydrophobic property. As a result by comparison with an aluminum surface and PTFE surface, which exhibited fouling within 3 days, a superhydrophobic surface exhibited high resistance to fouling. It was very difficult for cells to remain and grow on the superhydropbobic surface. There appears to be a correlation between the nature of the superhydrophobic property and the adhesion of the cells. There appears to be a correlation between the nature of the nanoscale roughness in the creation of a superhydrophobic surface.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134573910","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069926
Wenjin Dai, Youhui Xie, Hua Yang
For the parallel operation of the electric power network, it needs to control the current to be the same phase with the electric power network voltage. This paper presents a control method of the phase tracking based on the artificial neural network. It takes the algorithm of BP network into Phase Locked Loop (PLL) and the electric network voltage as the expected output and current as the training sample. Then with the self-learning of neural network, it can gradually reduce the output error between the sample and the expected target and achieve the synchronization and tracking of the expected output. In this paper, it has been carried out through the digital dynamic simulation with the MATLAB Simulation Power System Toolbox. Its result shows it can track its target well and have a strong adaptive capacity.
{"title":"A PLL control based on algorithm of BP neural network","authors":"Wenjin Dai, Youhui Xie, Hua Yang","doi":"10.1109/CIMSA.2009.5069926","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069926","url":null,"abstract":"For the parallel operation of the electric power network, it needs to control the current to be the same phase with the electric power network voltage. This paper presents a control method of the phase tracking based on the artificial neural network. It takes the algorithm of BP network into Phase Locked Loop (PLL) and the electric network voltage as the expected output and current as the training sample. Then with the self-learning of neural network, it can gradually reduce the output error between the sample and the expected target and achieve the synchronization and tracking of the expected output. In this paper, it has been carried out through the digital dynamic simulation with the MATLAB Simulation Power System Toolbox. Its result shows it can track its target well and have a strong adaptive capacity.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133051471","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069957
Qing Li, Jiani Yu, M. Schellekens, Shiwei Zhou, Wei Li, S. Armfield, R. Appleyard
The success of tissue regeneration to a certain extent lies on the mechanical and biological environments that the scaffold provides. The former has been addressed in terms of stiffness and strength in a range of tissue engineering scenarios. The latter is often related to fluid flow capacity of facilitating nutrient delivery, waste removal, and more importantly promoting tissue remodeling. This paper aims at developing a computational fluid dynamics (CFD) analysis for scaffold characterization and design in terms of fluidic wall shear stress. A certain level of wall shear stress (WSS) is considered essential to stimulate the cell differentiation and tissue growth, thereby making load-bearing neotissue more functional. This paper will firstly examine the transporting performance of scaffold topology that was designed based upon the stiffness criterion. Then a WSS based topological design is developed by using bidirectional evolutionary structural optimization (BESO) method, where a more uniform and favorable WSS distribution can be obtained.
{"title":"Characterization and design of 3D scaffolds for biofluidic criteria","authors":"Qing Li, Jiani Yu, M. Schellekens, Shiwei Zhou, Wei Li, S. Armfield, R. Appleyard","doi":"10.1109/CIMSA.2009.5069957","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069957","url":null,"abstract":"The success of tissue regeneration to a certain extent lies on the mechanical and biological environments that the scaffold provides. The former has been addressed in terms of stiffness and strength in a range of tissue engineering scenarios. The latter is often related to fluid flow capacity of facilitating nutrient delivery, waste removal, and more importantly promoting tissue remodeling. This paper aims at developing a computational fluid dynamics (CFD) analysis for scaffold characterization and design in terms of fluidic wall shear stress. A certain level of wall shear stress (WSS) is considered essential to stimulate the cell differentiation and tissue growth, thereby making load-bearing neotissue more functional. This paper will firstly examine the transporting performance of scaffold topology that was designed based upon the stiffness criterion. Then a WSS based topological design is developed by using bidirectional evolutionary structural optimization (BESO) method, where a more uniform and favorable WSS distribution can be obtained.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131849439","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069909
Dong Ming, Xi Zhang, Xiuyun Liu, B. Wan, Yong Hu, K. Luk
The static coupling of six-dimension force sensor for walker dynamometer system is a key factor to limit its measuring precision. A new decoupling method based on artificial neural network is proposed in this paper. Relevant error check results shows that, after the calibration by using the Back Propagation neural network and Radial Basis Function neural networks, the maximal system precision error with single-direction force was 7.78% and 4.33% and the maximal crosstalk was 7.49% and 6.52%,respectively. In comparison with traditional linear calibration method, the proposed technique can effectively increase the measurement accuracy of walker loads and greatly decrease the coupling effect.
{"title":"Nonlinear static decoupling of six-dimension force sensor for walker dynamometer system based on artificial neural network","authors":"Dong Ming, Xi Zhang, Xiuyun Liu, B. Wan, Yong Hu, K. Luk","doi":"10.1109/CIMSA.2009.5069909","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069909","url":null,"abstract":"The static coupling of six-dimension force sensor for walker dynamometer system is a key factor to limit its measuring precision. A new decoupling method based on artificial neural network is proposed in this paper. Relevant error check results shows that, after the calibration by using the Back Propagation neural network and Radial Basis Function neural networks, the maximal system precision error with single-direction force was 7.78% and 4.33% and the maximal crosstalk was 7.49% and 6.52%,respectively. In comparison with traditional linear calibration method, the proposed technique can effectively increase the measurement accuracy of walker loads and greatly decrease the coupling effect.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115332439","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069925
Haibo Min, F. Sun, Feng Niu
We consider the problem of formation flight for a set of Unmanned Air Vehicles (UAV) in a possible obstacle laden environment. A novel decentralized control design procedure is developed which guarantees collision and obstacle avoidance. The control design is based on a modified virtual leader-follower structure and a simple consensus protocol. Vehicle collision and obstacle avoidance is ensured by comprehensively utilizing artificial potential function and the gyroscopic force approach. By introducing gyroscopic force, a smoother formation trajectory is obtained which makes the UAV maneuver behavior more reasonable and it also tackles the local minimal problem caused by artificial potential function method. Numerical simulations are provided to demonstrate the correctness of the algorithm.
{"title":"Decentralized UAV formation tracking flight control using gyroscopic force","authors":"Haibo Min, F. Sun, Feng Niu","doi":"10.1109/CIMSA.2009.5069925","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069925","url":null,"abstract":"We consider the problem of formation flight for a set of Unmanned Air Vehicles (UAV) in a possible obstacle laden environment. A novel decentralized control design procedure is developed which guarantees collision and obstacle avoidance. The control design is based on a modified virtual leader-follower structure and a simple consensus protocol. Vehicle collision and obstacle avoidance is ensured by comprehensively utilizing artificial potential function and the gyroscopic force approach. By introducing gyroscopic force, a smoother formation trajectory is obtained which makes the UAV maneuver behavior more reasonable and it also tackles the local minimal problem caused by artificial potential function method. Numerical simulations are provided to demonstrate the correctness of the algorithm.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117049154","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069936
Cao Jun, Zhang Jiawei, Sun Liping
Wood moisture content (MC) is one of the key parameters which influenced on wood product cost, qualities and efficiency, etc. The fiber saturation point (FSP) cannot be measured directly based the principle of electrical method. In this paper, two prediction measuring algorithms based the autoregressive integrated moving average (ARIMA) and functional link artificial neural network models are considered along with various combinations of these models for predicting wood moisture content (MC) around the fiber saturation point. The predicting principle and procedure of these methods are presented in detail. Measurement experiments are performed to get the time series data of wood moisture content. Simulation comparison of predicting performances shows that the improved neural network models with functional link ANN give a better performance in solving the wood moisture content prediction problem.
{"title":"Comparison on prediction wood moisture content using ARIMA and improved neural networks","authors":"Cao Jun, Zhang Jiawei, Sun Liping","doi":"10.1109/CIMSA.2009.5069936","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069936","url":null,"abstract":"Wood moisture content (MC) is one of the key parameters which influenced on wood product cost, qualities and efficiency, etc. The fiber saturation point (FSP) cannot be measured directly based the principle of electrical method. In this paper, two prediction measuring algorithms based the autoregressive integrated moving average (ARIMA) and functional link artificial neural network models are considered along with various combinations of these models for predicting wood moisture content (MC) around the fiber saturation point. The predicting principle and procedure of these methods are presented in detail. Measurement experiments are performed to get the time series data of wood moisture content. Simulation comparison of predicting performances shows that the improved neural network models with functional link ANN give a better performance in solving the wood moisture content prediction problem.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128219925","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 : 2009-05-11DOI: 10.1109/CIMSA.2009.5069916
B. Wan, Lin Meng, Dong Ming, Hongzhi Qi, Yong Hu, K. Luk
Image fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved.
{"title":"Video image super-resolution restoration based on iterative back-projection algorithm","authors":"B. Wan, Lin Meng, Dong Ming, Hongzhi Qi, Yong Hu, K. Luk","doi":"10.1109/CIMSA.2009.5069916","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069916","url":null,"abstract":"Image fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132848327","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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