Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388170
Liping Wang, Xuecheng Zou, Q. Meng, Xiaoli Song
Wireless sensor networks contribute to significantly reduce energy consumption in green buildings. The sensor-node deployment is a crucial problem in WSNs. This paper formulates the deployment model of sensor nodes for target detection and location in a horizontal plane of a building and introduces an objective function with two constraints for the optimization problem. The problem is transformed into an unconstraint function by using penalty functions. The function acts as the fitness function in the improved adaptive binary particle swarm optimization algorithm. The simulation results show that the algorithm achieves the required target detection and location accuracy under the full coverage and a limited budget. Furthermore, the convergence rate and solution are better than the standard binary particle swarm optimization algorithm.
{"title":"An optimal strategy for the deployment of sensor nodes in green buildings","authors":"Liping Wang, Xuecheng Zou, Q. Meng, Xiaoli Song","doi":"10.1109/ICICIP.2015.7388170","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388170","url":null,"abstract":"Wireless sensor networks contribute to significantly reduce energy consumption in green buildings. The sensor-node deployment is a crucial problem in WSNs. This paper formulates the deployment model of sensor nodes for target detection and location in a horizontal plane of a building and introduces an objective function with two constraints for the optimization problem. The problem is transformed into an unconstraint function by using penalty functions. The function acts as the fitness function in the improved adaptive binary particle swarm optimization algorithm. The simulation results show that the algorithm achieves the required target detection and location accuracy under the full coverage and a limited budget. Furthermore, the convergence rate and solution are better than the standard binary particle swarm optimization algorithm.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329316","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388162
Zhemin Zhang, Chen Chen
The traditional track-to-track association (track fusion) algorithm mostly focuses on single and straight tracks, while the tracks generated by maneuvering flight, like curves, have not been researched deeply. This paper reviews current techniques of track-to-track association and improves a method, based on Adaptive Fuzzy C-Shell cluster (AFCS), which can be used among those situations where target leaves curve-like tracks. This method collects data from distributed multi-sensors network to generate track features, then uses feature-weighted AFCS algorithm to achieve track fusion. The experiment shows the proposed approach performed well under certain circumstances.
{"title":"Feature-weighted track-to-track association based on Adaptive Fuzzy C-Shell cluster","authors":"Zhemin Zhang, Chen Chen","doi":"10.1109/ICICIP.2015.7388162","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388162","url":null,"abstract":"The traditional track-to-track association (track fusion) algorithm mostly focuses on single and straight tracks, while the tracks generated by maneuvering flight, like curves, have not been researched deeply. This paper reviews current techniques of track-to-track association and improves a method, based on Adaptive Fuzzy C-Shell cluster (AFCS), which can be used among those situations where target leaves curve-like tracks. This method collects data from distributed multi-sensors network to generate track features, then uses feature-weighted AFCS algorithm to achieve track fusion. The experiment shows the proposed approach performed well under certain circumstances.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123559160","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388167
Lilan Tu, Zefei Zhu, Jiao Wang
In this paper, finite-time mean-square synchronization and structure identification of general complex network with stochastic disturbances, which is a zero-mean real m-dimension Wiener process, is investigated. The weight configuration matrix of the network under consideration needs not to be diffusive, symmetric or irreducible and is applicable to both directed and undirected networks. Based on finite-time stochastic Lyapunov stability theory, adaptive control and It 0 formulation, some novel criteria for the finite-time stochastic synchronization between drive and response complex networks were derived. Simultaneously, the structure of the drive complex network is identified. Numerical simulations are provided to show the effectiveness and feasibility of the proposed schemes.
{"title":"Structure identification of general stochastic complex networks via finite-time adaptive synchronization","authors":"Lilan Tu, Zefei Zhu, Jiao Wang","doi":"10.1109/ICICIP.2015.7388167","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388167","url":null,"abstract":"In this paper, finite-time mean-square synchronization and structure identification of general complex network with stochastic disturbances, which is a zero-mean real m-dimension Wiener process, is investigated. The weight configuration matrix of the network under consideration needs not to be diffusive, symmetric or irreducible and is applicable to both directed and undirected networks. Based on finite-time stochastic Lyapunov stability theory, adaptive control and It 0 formulation, some novel criteria for the finite-time stochastic synchronization between drive and response complex networks were derived. Simultaneously, the structure of the drive complex network is identified. Numerical simulations are provided to show the effectiveness and feasibility of the proposed schemes.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125050091","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388142
Kaibo Zhou, Zhikai Lin, Deng Yu, Bin Cao, Ziqian Wang, Sihai Guo
It is an important part in aluminum electrolysis production to control the anode effect (AE). Since there are some shortcomings in traditional methods of anode effect prediction in aluminum electrolysis, this paper combined two methods, the slope of cell resistance and learning vector quantization (LVQ) neural network, to predict anode effect. First of all, the first prediction of anode effect will be conducted based on the slope of cell resistance. Afterwards, the inaccurate data are supposed to be re-predicted. The second prediction consists of two steps, one is to estimate the power spectrum from the signal of cell resistance by means of periodogram, the other is to re-predict the anode effect with the LVQ neural network, since the energy of frequency bands are served as the input feature variables of neural network, so as to raise the accuracy of prediction. It turned out that the success rate of ten-minute in advance prediction for anode effect can be above 85%, though just cell resistance signal is studied.
{"title":"Cell resistance slope combined with LVQ neural network for prediction of anode effect","authors":"Kaibo Zhou, Zhikai Lin, Deng Yu, Bin Cao, Ziqian Wang, Sihai Guo","doi":"10.1109/ICICIP.2015.7388142","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388142","url":null,"abstract":"It is an important part in aluminum electrolysis production to control the anode effect (AE). Since there are some shortcomings in traditional methods of anode effect prediction in aluminum electrolysis, this paper combined two methods, the slope of cell resistance and learning vector quantization (LVQ) neural network, to predict anode effect. First of all, the first prediction of anode effect will be conducted based on the slope of cell resistance. Afterwards, the inaccurate data are supposed to be re-predicted. The second prediction consists of two steps, one is to estimate the power spectrum from the signal of cell resistance by means of periodogram, the other is to re-predict the anode effect with the LVQ neural network, since the energy of frequency bands are served as the input feature variables of neural network, so as to raise the accuracy of prediction. It turned out that the success rate of ten-minute in advance prediction for anode effect can be above 85%, though just cell resistance signal is studied.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127238086","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388177
Jie Hu, Dong Yu
This paper which use quantile regression, Least-squares regression examines the influence of the exchange rate, Family per capita income index, the number of student studying abroad last year and the registered urban unemployment rate on the number of student studying abroad (1985-2014) based on Multiple linear quantile regression model. The results show that quantile regression in this condition of data more accurately reflect the relationship between the independent variables and the dependent variables than Least-squares regression by comparing parameter estimation results of the two methods.
{"title":"Econometric analysis of factors affecting abroad based on quantile estimates","authors":"Jie Hu, Dong Yu","doi":"10.1109/ICICIP.2015.7388177","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388177","url":null,"abstract":"This paper which use quantile regression, Least-squares regression examines the influence of the exchange rate, Family per capita income index, the number of student studying abroad last year and the registered urban unemployment rate on the number of student studying abroad (1985-2014) based on Multiple linear quantile regression model. The results show that quantile regression in this condition of data more accurately reflect the relationship between the independent variables and the dependent variables than Least-squares regression by comparing parameter estimation results of the two methods.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127469788","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388219
D. Hou, P. Xiang, Cheng Huang, Yan-Guang Zhu, X. Yao, Shangrui Chen
The cane sugar mill is technically challenging, combining many unit processes to produce a very high quality product. The ability to remain competitive has resulted in the use of more emerging and improved processes. Today, the modern cane sugar mill is a simplified but sophisticated organization. Therefore, it requires a high level of automation and advanced techniques to remain viable long term. According to the characteristics of sugar cane crushing process, the distributed control system (DCS) we used to achieve the balance of sugarcane crushing. This paper details the application of DCS and control design methodology, which has been successful in improving the performance of a sugar cane crushing process. Meanwhile, remarkable economic and social benefits have been achieved in the practical application.
{"title":"Construction and research: An automation control system of sugarcane balanced crushing","authors":"D. Hou, P. Xiang, Cheng Huang, Yan-Guang Zhu, X. Yao, Shangrui Chen","doi":"10.1109/ICICIP.2015.7388219","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388219","url":null,"abstract":"The cane sugar mill is technically challenging, combining many unit processes to produce a very high quality product. The ability to remain competitive has resulted in the use of more emerging and improved processes. Today, the modern cane sugar mill is a simplified but sophisticated organization. Therefore, it requires a high level of automation and advanced techniques to remain viable long term. According to the characteristics of sugar cane crushing process, the distributed control system (DCS) we used to achieve the balance of sugarcane crushing. This paper details the application of DCS and control design methodology, which has been successful in improving the performance of a sugar cane crushing process. Meanwhile, remarkable economic and social benefits have been achieved in the practical application.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129086428","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388222
Yalong Jiang
Optical flow estimation in videos is useful in intelligent video analysis. To realize this, we need to combine segmentation algorithms with feature matching methods. In this paper, we originally combine machine learning methods (Adaboost) with feature extracting and block matching algorithms. We first use a classifier to divide an image into different regions, then match 12-by-12 blocks in these regions to corresponding ones in another image. Finally, global motion estimation and refining algorithms are proposed to correct the wrong segmentations and wrong matches, accurate matches as well as optical flow estimation can be obtained. Experiments are used to testify the usefulness.
{"title":"Motion field estimation in images based on segmentation","authors":"Yalong Jiang","doi":"10.1109/ICICIP.2015.7388222","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388222","url":null,"abstract":"Optical flow estimation in videos is useful in intelligent video analysis. To realize this, we need to combine segmentation algorithms with feature matching methods. In this paper, we originally combine machine learning methods (Adaboost) with feature extracting and block matching algorithms. We first use a classifier to divide an image into different regions, then match 12-by-12 blocks in these regions to corresponding ones in another image. Finally, global motion estimation and refining algorithms are proposed to correct the wrong segmentations and wrong matches, accurate matches as well as optical flow estimation can be obtained. Experiments are used to testify the usefulness.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131713953","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}
The cubature rule used in the cubature Kalman filter (CKF) is a combination of the spherical rule and the radial rule. In order to further improve the computational efficiency and accuracy, we introduce a novel CKF in this paper by using the mixed degrees of spherical and radial rules. Simulation results show that the novel CKFs present the trade-off between the conventional third-degree CKF (CKF3) and the fifth-degree CKF (CKF5) from the respects of the accuracy and computational complexity. In addition, the novel CKF outperforms the CKF5 in some nonlinear systems.
{"title":"Novel cubature Kalman filters based on mixed degrees","authors":"Yali Feng, Qingan Yang, Shiyuan Wang, Wenjie Zhang, Yunfei Zheng","doi":"10.1109/ICICIP.2015.7388172","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388172","url":null,"abstract":"The cubature rule used in the cubature Kalman filter (CKF) is a combination of the spherical rule and the radial rule. In order to further improve the computational efficiency and accuracy, we introduce a novel CKF in this paper by using the mixed degrees of spherical and radial rules. Simulation results show that the novel CKFs present the trade-off between the conventional third-degree CKF (CKF3) and the fifth-degree CKF (CKF5) from the respects of the accuracy and computational complexity. In addition, the novel CKF outperforms the CKF5 in some nonlinear systems.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125346609","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388186
Ben Niu, Lina Liu
In this paper, an adaptive fuzzy output tracking control approach is proposed for a class of switched lower triangular nonlinear systems with time-delays. In the design process, the common Lyapunov function (CLF) method combined with the recursive backstepping technique and Lyapunov-Krasovskii functionals is used to construct a state feedback controller, and fuzzy logic systems are applied to approximate the unknown nonlinear functions. The constructed controller assures that all signals in the closed-loop system are bounded and the system output eventually converges to a small neighborhood of the desired reference signal.
{"title":"Adaptive fuzzy-based tracking control for switched lower triangular nonlinear systems with time-delays","authors":"Ben Niu, Lina Liu","doi":"10.1109/ICICIP.2015.7388186","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388186","url":null,"abstract":"In this paper, an adaptive fuzzy output tracking control approach is proposed for a class of switched lower triangular nonlinear systems with time-delays. In the design process, the common Lyapunov function (CLF) method combined with the recursive backstepping technique and Lyapunov-Krasovskii functionals is used to construct a state feedback controller, and fuzzy logic systems are applied to approximate the unknown nonlinear functions. The constructed controller assures that all signals in the closed-loop system are bounded and the system output eventually converges to a small neighborhood of the desired reference signal.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138649","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 : 2015-11-01DOI: 10.1109/ICICIP.2015.7388194
Guoxian Shi, X. Zong, Xingong Cheng
Extended two-dimensional single-phase harmonic detection algorithm is an approach detecting the harmonic current in single-phase active power filter. However, it is not practical for some reason. In this paper, the algorithm was studied and then an improvement based on tracking differentiator (TD) was proposed to solve the problems existing in the extended two-dimensional single-phase harmonic detection algorithm, in which the magnitude of fundamental wave can be easily affected by high frequency noises of the input signal for the existence of derivation process. The new algorithm is capable of filtering perturbations and getting the derivative of input signal without noise amplification. It can make sure that a more accurate approximation of the real fundamental wave without distortion will be obtained, which can guarantee a lower harmonic content of the grid side current.
{"title":"An improved detecting approach of harmonic current in single-phase active power filter based on tracking differentiator","authors":"Guoxian Shi, X. Zong, Xingong Cheng","doi":"10.1109/ICICIP.2015.7388194","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388194","url":null,"abstract":"Extended two-dimensional single-phase harmonic detection algorithm is an approach detecting the harmonic current in single-phase active power filter. However, it is not practical for some reason. In this paper, the algorithm was studied and then an improvement based on tracking differentiator (TD) was proposed to solve the problems existing in the extended two-dimensional single-phase harmonic detection algorithm, in which the magnitude of fundamental wave can be easily affected by high frequency noises of the input signal for the existence of derivation process. The new algorithm is capable of filtering perturbations and getting the derivative of input signal without noise amplification. It can make sure that a more accurate approximation of the real fundamental wave without distortion will be obtained, which can guarantee a lower harmonic content of the grid side current.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121137341","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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