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2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications最新文献

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Colony image classification on fuzzy mathematics 基于模糊数学的群体图像分类
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069943
Ziyi Fu, Weixing Wang, Bo Yang, Bing Cui
{"title":"Colony image classification on fuzzy mathematics","authors":"Ziyi Fu, Weixing Wang, Bo Yang, Bing Cui","doi":"10.1109/CIMSA.2009.5069943","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069943","url":null,"abstract":"Due to colony image quality variation very much, an ordinary colony delineation algorithm is difficult to segment all kinds of colony images, therefore, image classification is necessary before image segmentation. The developed special colony image classification method in this study is to use definition of Judgment Set, determination of Fuzzy Judgment Matrix, and defining weight Set based on colony image characteristics, which are: (1) colony density; (2) colony area percentage (the ratio between colony area and whole area of the image); (3) colony area variance; and (4) grey contrast between colony and nutrient fluid. Experiments prove that the studied method make the classification reasonable, it can be used for colony image recognition and image pre-segmentation, and can also be expanded into the other similar applications.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"185 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":"131404681","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
Fuzzy control system of constant current for spot welding inverter 点焊逆变器恒流模糊控制系统
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069927
Zeng Min, M. Cheng, Cao Biao
{"title":"Fuzzy control system of constant current for spot welding inverter","authors":"Zeng Min, M. Cheng, Cao Biao","doi":"10.1109/CIMSA.2009.5069927","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069927","url":null,"abstract":"To avoid the instability of small parts welding, the paper proposes a new type of spot welding inverter, mainly controlled by digital signal processor(DSP) dsPic30F6010A. The system enables stable constant current through fuzzy control. The paper introduces the component , principle and design of the system in details. The experimental result shows that the fluctuation ratio of output current under different service voltage and load conditions is 2% by using the fuzzy control designed.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"29 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":"114399288","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: 1
Unsupervised feature selection algorithms for wireless sensor networks 无线传感器网络的无监督特征选择算法
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069913
C. Alippi, G. Baroni, A. Bersani, M. Roveri
{"title":"Unsupervised feature selection algorithms for wireless sensor networks","authors":"C. Alippi, G. Baroni, A. Bersani, M. Roveri","doi":"10.1109/CIMSA.2009.5069913","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069913","url":null,"abstract":"A wireless sensor network (WSN) is a distributed measurement system deployed over a geographical area to acquire physical information which, depending on the nature of the monitoring phenomenon, can be spatially correlated in space and time. Spatial correlation, to be intended here at different levels, can be exploited to reduce the communication bandwidth, implement articulated sensing and carry out energy saving policies. The paper aims at investigating unsupervised feature selection algorithms and how they can be used to exploit spatial correlation in WSNs. The interest is due to the fact that generation of a reduced set of features (i.e., aggregated data) has a positive effect on optimal energy management, hierarchical decision making and performance. Six algorithms have been critically discussed and contrasted both at theoretical and experimental levels.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"6 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":"125399675","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
Residual oxides detection and measurement in stainless steel production lines 不锈钢生产线中残余氧化物的检测与测量
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069922
C. Spínola, J. M. Bonelo, J. Canero, S. Espejo, S. Morilla, R.M. Luque, M. Martín-Vázquez, F. Garcia-Vacas, C. Gálvez-Fernández, J. Vizoso, J. Muñoz-Pérez
{"title":"Residual oxides detection and measurement in stainless steel production lines","authors":"C. Spínola, J. M. Bonelo, J. Canero, S. Espejo, S. Morilla, R.M. Luque, M. Martín-Vázquez, F. Garcia-Vacas, C. Gálvez-Fernández, J. Vizoso, J. Muñoz-Pérez","doi":"10.1109/CIMSA.2009.5069922","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069922","url":null,"abstract":"In this paper, we present a system to detect and measure the amount of residual oxide stains remaining in the surface of stainless steel coils after the pickling process in a production line. The system is able to acquire clear images of the stainless steel surface with the appropriate illumination and magnification, while it is being produced. These images are processed and analyzed in real time in order to detect and measure the oxide stains which typically are between 50 and 200 microns in size. We present here an outline of the acquisition system and the image processing algorithm which has been designed to detect this sort of defect.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"85 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":"128700336","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: 1
Research on Supervised Manifold Learning for SAR target classification SAR目标分类的监督流形学习研究
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069934
Juan Wang, Lijie Sun
{"title":"Research on Supervised Manifold Learning for SAR target classification","authors":"Juan Wang, Lijie Sun","doi":"10.1109/CIMSA.2009.5069934","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069934","url":null,"abstract":"Nonlinear manifold learning algorithms, mainly isometric feature mapping (Isomap) and local linear embedding (LLE), determine the low-dimensional embedding of the original high dimensional data by finding the geometric distances between samples. This paper proposed an approach to reduce the dimensions of SAR image targets based on Supervised Manifold Learning algorithm . Three steps were done to reduce the dimensions of original data. Firstly take use of a priori information of the sample point to find the k-neighbors. Secondly to build the local reconstruction weight matrix W. Thirdly get the dimension reduction result based on W and the neighborhood of original data. Experiments were done to test the effect of dimensionality reduction to classification results. Three types of targets were used in the experiments. The implementation steps and parameter settings are discussed in details. The results show SLLE is more conducive to SAR image target classification than the traditional LLE.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"26 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":"114318133","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: 2
Deviation recognition of high speed rotational arc sensor based on support vector machine 基于支持向量机的高速旋转电弧传感器偏差识别
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069946
Yonghua Shi, Zeng Songsheng, Guorong Wang
{"title":"Deviation recognition of high speed rotational arc sensor based on support vector machine","authors":"Yonghua Shi, Zeng Songsheng, Guorong Wang","doi":"10.1109/CIMSA.2009.5069946","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069946","url":null,"abstract":"Signal patterns of high speed rotational arc sensor in gas metal arc welding (GMAW) have been studied. For V-groove butt joint, a geometry model of the weld bead profile and torch rotating has been developed. Welding current waveforms of both simulations and experiments have been analyzed. The welding current waveforms simulated based on the mathematical model are consistent with those captured in welding experiments, which proves that the mathematical model is correct. The signal features are analyzed as torch deviation from V-groove centre varied. The results show that the deviation of the welding torch is in proportion with the asymmetry of the current waveform in corresponding arc rotational cycle. A SVM is used to recognize the torch deviation. The results of this study are helpful to the design and application of high speed rotational arc sensors.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"154 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":"114489530","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: 2
Adaptive synchronization of hyperchaotic Chen systems 超混沌Chen系统的自适应同步
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069928
Lingling Tian, Donghai Li
{"title":"Adaptive synchronization of hyperchaotic Chen systems","authors":"Lingling Tian, Donghai Li","doi":"10.1109/CIMSA.2009.5069928","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069928","url":null,"abstract":"This study addresses the synchronization of hyperchaotic Chen system. By using only one output, a novel controller with a high gain observer is designed to realize the globally asymptotical stability of the error dynamical system. According to the Lyapunov stability theorem, the asymptotic stability of the close loop system is studied. Numerical simulations and theoretical analysis show that the controller is effective and feasible.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"336 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":"123520376","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: 18
ARIMA vs. Neural networks for wind speed forecasting ARIMA与神经网络风速预报
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069932
J. Palomares-Salas, J. D. L. de la Rosa, J. Ramiro, J. Melgar, A. Aguera, A. Moreno
{"title":"ARIMA vs. Neural networks for wind speed forecasting","authors":"J. Palomares-Salas, J. D. L. de la Rosa, J. Ramiro, J. Melgar, A. Aguera, A. Moreno","doi":"10.1109/CIMSA.2009.5069932","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069932","url":null,"abstract":"In this paper an ARIMA model is used for time-series forecast involving wind speed measurements. Results are compared with the performance of a back propagation type NNT. Results show that ARIMA model is better than NNT for short time-intervals to forecast (10 minutes, 1 hour, 2 hours and 4 hours). Data was acquired from a unit located in Southern Andalusia (Peñaflor, Sevilla), with a soft orography (10 minutes between measurements). This feature is which makes performance of the ARIMA model and the NNT very similar, so a simple forecasting model could be used in order to administrate energy sources. The paper presents the process of model validation, along with a regression analysis, based in real-life data.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"34 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":"125677999","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: 81
Modeling and fabrication of electrospun polymer nanofibers with tailored architectures for tissue engineering scaffold applications 为组织工程支架应用量身定制结构的电纺丝聚合物纳米纤维的建模和制造
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-11 DOI: 10.1109/CIMSA.2009.5069954
Yazhou Wang, Hao Li, J. Lee, Qingsong Yu, Bochu Wang, Guixue Wang
{"title":"Modeling and fabrication of electrospun polymer nanofibers with tailored architectures for tissue engineering scaffold applications","authors":"Yazhou Wang, Hao Li, J. Lee, Qingsong Yu, Bochu Wang, Guixue Wang","doi":"10.1109/CIMSA.2009.5069954","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069954","url":null,"abstract":"By using finite element method (FEM), nanofibers' deposition behavior including the orientation and alignment of nanofibers that are approaching to fiber collectors was simulated and systematically investigated in term of the effects of electrostatic field. Based on the simulation results, we have experimentally demonstrated that Poly (ε-caprolactrone) (PCL) nanofibers with various disired patterns and ordered architectures can be prepared using predesigned fiber collectors. When cultured with mouse osteoblastic cell line (MC3T3-E1), it was found that the cells grew and elongated along the fiber orientation directions, and the results cellular organization and distribution mimicked the topological structures of the PCL nanofiber scaffolds. These results indicated that electrospun nanofiber scaffolds with tailored architechtures and patterns hold potential for engineering functional tissues or organs, where an ordered cellular organization is essential.","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":"115193673","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
Phase resetting and evoked activity contribute to the genesis of P300 signal in BCI system 脑机接口系统中P300信号的产生与相重置和诱发活动有关
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2009-05-01 DOI: 10.1109/CIMSA.2009.5069919
B. Wan, X. An, Dong Ming, Hongzhi Qi, Yong Hu, K. Luk
{"title":"Phase resetting and evoked activity contribute to the genesis of P300 signal in BCI system","authors":"B. Wan, X. An, Dong Ming, Hongzhi Qi, Yong Hu, K. Luk","doi":"10.1109/CIMSA.2009.5069919","DOIUrl":"https://doi.org/10.1109/CIMSA.2009.5069919","url":null,"abstract":"Brain-computer interface (BCI) is a new human machine interface. Currently, there is a debate about the genesis of the event-related potentials (ERPs). A constituent of the ERPs, the P300, appears to be closely associated with the cognitive processes of the brain. So this research focuses on the genesis of the P300. The event-related spectral perturbation (ERSP) and the inter-trial coherence (ITC) are used in the time-frequency analysis of the signals. The results shows that at the mean values of ERSP and ITC with a P300 signals are much larger than those without a P300 signals, from which we make a conclusion that two models about ERPs both contribute to the genesis of the P300.","PeriodicalId":178669,"journal":{"name":"2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126764542","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: 1
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