Pub Date : 2015-11-01DOI: 10.1109/ICICIP.2015.7388150
Wenwen Zhu, Jian Huang, Weiyi Liu
Genecology has developed quickly and systematically by utilizing mathematical principle. The research about the prey-predator system is more and more thorough, closes to the social reality. Considering the actual application, we establish a class of differential-algebraic biological economic systems. And, we study the stability of this system by utilizing the Hopf bifurcation theorem and the new normal form. Here, economic factor m as a bifurcation parameter, it is found that the periodic solution will occur when the parameter m closes to a certain value m0.
{"title":"The stability and Hopf bifurcation of the differential-algebraic biological economic system with single harvesting","authors":"Wenwen Zhu, Jian Huang, Weiyi Liu","doi":"10.1109/ICICIP.2015.7388150","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388150","url":null,"abstract":"Genecology has developed quickly and systematically by utilizing mathematical principle. The research about the prey-predator system is more and more thorough, closes to the social reality. Considering the actual application, we establish a class of differential-algebraic biological economic systems. And, we study the stability of this system by utilizing the Hopf bifurcation theorem and the new normal form. Here, economic factor m as a bifurcation parameter, it is found that the periodic solution will occur when the parameter m closes to a certain value m0.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"19 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":"125111731","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.2015.7388209
Wenliang Zhu, Songli Sun, Zhijun Qu
The nonlinear vibration fault of hydroelectric generating set was common, and it was a major cause of leading to instability of hydroelectric generator system. This paper took the nonlinear vibration fault of hydroelectric generator as the research object, and simulated Benily hydroelectric generator test rig. Wavelet transform method was applied to analyze the hydroelectric generator vibration signal, and research in view of extracting the features of the nonlinear vibration fault. This article applied the method of multi-scale wavelet to study nonlinear vibration problems of hydroelectric generating set, and the results showed that the multi-scale wavelet method can achieve the diagnosis of friction fault.
{"title":"Nonlinear vibration fault diagnosis of hydroelectric generator based on multi-scale wavelet","authors":"Wenliang Zhu, Songli Sun, Zhijun Qu","doi":"10.1109/ICICIP.2015.7388209","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388209","url":null,"abstract":"The nonlinear vibration fault of hydroelectric generating set was common, and it was a major cause of leading to instability of hydroelectric generator system. This paper took the nonlinear vibration fault of hydroelectric generator as the research object, and simulated Benily hydroelectric generator test rig. Wavelet transform method was applied to analyze the hydroelectric generator vibration signal, and research in view of extracting the features of the nonlinear vibration fault. This article applied the method of multi-scale wavelet to study nonlinear vibration problems of hydroelectric generating set, and the results showed that the multi-scale wavelet method can achieve the diagnosis of friction fault.","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":"122676757","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.2015.7388136
Hui Lu, Xin Xu, Mengmeng Zhang, Lijuan Yin
Test task scheduling problem in the dynamic environment (DTTSP) is an important issue in automatic test system. In this paper, a dynamic multi-objective evolutionary algorithm based on decomposition (DMOEA/D) is proposed to improve the adaptability of the environment changes in test process. The mathematical model considering the arrival of dynamic tasks is proposed based on the Markov decision process. Three standard test functions and two DTTSP examples are used in experiment for illustrating the performance of the proposed algorithm. The results show that the proposed algorithm has good performance in convergence and diversity. Almost all the performance metrics of convergence and diversity obtain stable statistical results. The result of convergence ratio of an algorithm is not good as other metrics because of the slow convergence rate. The results also show that the solutions obtained by DMOEA/D have better Pareto front than the dynamic multi-objective particle swarm optimization algorithm (DMOPSO).
{"title":"Dynamic multi-objective evolutionary algorithm based on decomposition for test task scheduling problem","authors":"Hui Lu, Xin Xu, Mengmeng Zhang, Lijuan Yin","doi":"10.1109/ICICIP.2015.7388136","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388136","url":null,"abstract":"Test task scheduling problem in the dynamic environment (DTTSP) is an important issue in automatic test system. In this paper, a dynamic multi-objective evolutionary algorithm based on decomposition (DMOEA/D) is proposed to improve the adaptability of the environment changes in test process. The mathematical model considering the arrival of dynamic tasks is proposed based on the Markov decision process. Three standard test functions and two DTTSP examples are used in experiment for illustrating the performance of the proposed algorithm. The results show that the proposed algorithm has good performance in convergence and diversity. Almost all the performance metrics of convergence and diversity obtain stable statistical results. The result of convergence ratio of an algorithm is not good as other metrics because of the slow convergence rate. The results also show that the solutions obtained by DMOEA/D have better Pareto front than the dynamic multi-objective particle swarm optimization algorithm (DMOPSO).","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"16 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":"134589457","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.2015.7388217
Mengya Kang, Chenglin Wen, Diju Gao
In this paper, we propose a distributed optimal control algorithm for deferrable loads scheduling under the constraint of electricity supply in power systems, which can make the aggregate load approach the planning electricity supply as close as possible. The problem of deferrable loads scheduling is transformed into an optimal control problem firstly. Then we propose ODC-S algorithm to adapt the case that the constraint of electricity supply is considered. The objective function is designed according to the control problem to schedule deferrable loads, represented by electric vehicles, and we aim to minimize the variance of differences between electricity supply and aggregate load as well as to keep the fluctuations of the differences at a minimum level, which can ensure the effective utilization of power resources in electricity market, and can also maintain the stability of power systems. Finally, simulation examples are given to illustrate the effectiveness of the proposed algorithm.
{"title":"Optimal control for deferrable loads scheduling under the constraint of electricity supply","authors":"Mengya Kang, Chenglin Wen, Diju Gao","doi":"10.1109/ICICIP.2015.7388217","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388217","url":null,"abstract":"In this paper, we propose a distributed optimal control algorithm for deferrable loads scheduling under the constraint of electricity supply in power systems, which can make the aggregate load approach the planning electricity supply as close as possible. The problem of deferrable loads scheduling is transformed into an optimal control problem firstly. Then we propose ODC-S algorithm to adapt the case that the constraint of electricity supply is considered. The objective function is designed according to the control problem to schedule deferrable loads, represented by electric vehicles, and we aim to minimize the variance of differences between electricity supply and aggregate load as well as to keep the fluctuations of the differences at a minimum level, which can ensure the effective utilization of power resources in electricity market, and can also maintain the stability of power systems. Finally, simulation examples are given to illustrate the effectiveness of the proposed algorithm.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"21 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":"114660655","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.2015.7388188
S. Kravtsov, K. Rumyantsev
An approach to determine the relationship between the required parameters onboard stereovision system and the allowable displacement dynamics of mobile robot platform. The study used the approach of spectral analysis of the measurement errors benchmarks required for the localization of a mobile robot on the ground. As the onboard stereovision system analyzes a system with two collinear digital cameras with identical parameters. Presents the results of determining the required frequency of measurements in the implementation of various design options for onboard stereovision system.
{"title":"Interrelation of mobile robot movement dynamics with onboard binocular vision system parameters","authors":"S. Kravtsov, K. Rumyantsev","doi":"10.1109/ICICIP.2015.7388188","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388188","url":null,"abstract":"An approach to determine the relationship between the required parameters onboard stereovision system and the allowable displacement dynamics of mobile robot platform. The study used the approach of spectral analysis of the measurement errors benchmarks required for the localization of a mobile robot on the ground. As the onboard stereovision system analyzes a system with two collinear digital cameras with identical parameters. Presents the results of determining the required frequency of measurements in the implementation of various design options for onboard stereovision system.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"158 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":"123226921","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.2015.7388187
Huamin Wang, Shukai Duan, Chuandong Li, Lidan Wang
This paper deals with the stability problems of nonautonomous impulsive differential systems with time-delay. By utilizing the method of mathematic induction, proofs by contradiction and Lyapunov-Krasovskii functional, we obtain several uniformly stable criteria about the linear and nonlinear nonautonomous impulsive systems with time delay. One numerical example and its simulations are given to illustrate the effectiveness of the theoretical result.
{"title":"Uniform stability of nonautonomous impulsive differential systems with time delay","authors":"Huamin Wang, Shukai Duan, Chuandong Li, Lidan Wang","doi":"10.1109/ICICIP.2015.7388187","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388187","url":null,"abstract":"This paper deals with the stability problems of nonautonomous impulsive differential systems with time-delay. By utilizing the method of mathematic induction, proofs by contradiction and Lyapunov-Krasovskii functional, we obtain several uniformly stable criteria about the linear and nonlinear nonautonomous impulsive systems with time delay. One numerical example and its simulations are given to illustrate the effectiveness of the theoretical result.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"101 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":"123536160","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.2015.7388198
Xiaopan Zhang, Jing Liu, Xuefeng Chi
Interactive image segmentation based on Cellular Automata (CA) has shown its effectivity of object extraction in photographs or video frames. But in high resolution remote sensing images it will be a heavy work to manually label out all of objects, especially the mixture-up objects, in large scale of map area. Three kinds of auto-labelling algorithms are studied to generate labels automatically just according to a few of artificial sample labels. These algorithms deal with the similarity between unlabeled area and the labeled samples in the aspects of spectrum, shapes, and mixture pattern respectively, and then make the use of maximum likelihood labelling, shape calculation by screening contours, and spatial clustering comprehensively to extract some feature pixels to construct new labels. The feasibility of the algorithms has been shown by experimental results of different types of high resolution remote sensing images retrieved from google earth.
{"title":"Auto-labeling algorithms on CA based interactive segmentation for high resolution remote sensing images","authors":"Xiaopan Zhang, Jing Liu, Xuefeng Chi","doi":"10.1109/ICICIP.2015.7388198","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388198","url":null,"abstract":"Interactive image segmentation based on Cellular Automata (CA) has shown its effectivity of object extraction in photographs or video frames. But in high resolution remote sensing images it will be a heavy work to manually label out all of objects, especially the mixture-up objects, in large scale of map area. Three kinds of auto-labelling algorithms are studied to generate labels automatically just according to a few of artificial sample labels. These algorithms deal with the similarity between unlabeled area and the labeled samples in the aspects of spectrum, shapes, and mixture pattern respectively, and then make the use of maximum likelihood labelling, shape calculation by screening contours, and spatial clustering comprehensively to extract some feature pixels to construct new labels. The feasibility of the algorithms has been shown by experimental results of different types of high resolution remote sensing images retrieved from google earth.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"11 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":"124000445","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.2015.7388146
Jun Wang, Weimin Li
To prevent the power shortage phenomenon during electricity peak-demand period, utility companies may control the users' power consumption of this period by establishing a price-consumption function and a penalty system. Moreover, users may minimize their electricity expenditures through power consumption forecast strategy of day-ahead market under the new electricity price system. When it comes to entering into rivalry with other users over reasonable electricity price, we establish a repeated game model transforms dynamic game of incomplete information into the static of complete information, solve the equilibrium problem and obtain the optimal strategy. In addition, we also mention that one of the ways users take to reduce power consumption during the peak period is transferring load, avoiding the resulted instability of trough.
{"title":"Optimal strategy of users' power consumption forecast based on repeated game model","authors":"Jun Wang, Weimin Li","doi":"10.1109/ICICIP.2015.7388146","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388146","url":null,"abstract":"To prevent the power shortage phenomenon during electricity peak-demand period, utility companies may control the users' power consumption of this period by establishing a price-consumption function and a penalty system. Moreover, users may minimize their electricity expenditures through power consumption forecast strategy of day-ahead market under the new electricity price system. When it comes to entering into rivalry with other users over reasonable electricity price, we establish a repeated game model transforms dynamic game of incomplete information into the static of complete information, solve the equilibrium problem and obtain the optimal strategy. In addition, we also mention that one of the ways users take to reduce power consumption during the peak period is transferring load, avoiding the resulted instability of trough.","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":"125436674","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.2015.7388191
Meiling Xu, Shuhui Zhang, Min Han
This paper presents a multivariate time series modeling and prediction method based on reservoir independent components. As a new type of recurrent neural networks (RNNs), reservoir computing methods have become a new hot topic and attracted wide attention from researchers in the field of time series prediction. It has overcome the problems that traditional gradient descent training algorithms present, for example, the process is computationally expensive, and easy to end in a local minimum. However, there are ill-posed solutions when least square estimation methods are used to calculate the output weights because of the collinear columns or rows in the state matrix. Therefore, we use independent component analysis (ICA) to extract the independent components of the state matrix. In addition, this paper proposes an iterative prediction model based on local error compensation to solve the problem of accumulated errors in multiple-step prediction, in order to realize medium-term prediction. The models have been simulated on benchmark dataset of Lorenz time series and a real-world application of Dalian monthly average temperature-rainfall time series. Simulation results substantiate the proposed methods' effectiveness and characteristics.
{"title":"Multivariate time series modeling and prediction based on reservoir independent components","authors":"Meiling Xu, Shuhui Zhang, Min Han","doi":"10.1109/ICICIP.2015.7388191","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388191","url":null,"abstract":"This paper presents a multivariate time series modeling and prediction method based on reservoir independent components. As a new type of recurrent neural networks (RNNs), reservoir computing methods have become a new hot topic and attracted wide attention from researchers in the field of time series prediction. It has overcome the problems that traditional gradient descent training algorithms present, for example, the process is computationally expensive, and easy to end in a local minimum. However, there are ill-posed solutions when least square estimation methods are used to calculate the output weights because of the collinear columns or rows in the state matrix. Therefore, we use independent component analysis (ICA) to extract the independent components of the state matrix. In addition, this paper proposes an iterative prediction model based on local error compensation to solve the problem of accumulated errors in multiple-step prediction, in order to realize medium-term prediction. The models have been simulated on benchmark dataset of Lorenz time series and a real-world application of Dalian monthly average temperature-rainfall time series. Simulation results substantiate the proposed methods' effectiveness and characteristics.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"14 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":"126905704","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.2015.7388224
Yizheng Xu, Weizhong Zhang
To measure the high rotation velocity of a motor, this paper proposes a scheme based on an infra-red led pair and integrated chip technology. By analyzing the infrared LED pair working principle, this paper designs a framework including a signal processing algorithm to measure the rotation velocity and display it in real-time. In details, the paper describes the technical specifications about how to use a SCM (Single Chip Microcomputer) and photoelectric sensor to design the hardware circuit and software programming for this system. The hardware circuit, mainly including photoelectric sensor module, pulse signal processing and display module, uses AT89C51 microcontroller as the core chip. With a specific algorithm, the pulse signal sent into the SCM will be processed and the motor rotation velocity will be displayed on a four seven-segment digital tube. Experimental results show that the rotation velocity measurement system is stable, reliable and has a great potential for a wide range of engineering applications.
{"title":"An infrared LED pair based approach to measure high rotation velocity of a motor","authors":"Yizheng Xu, Weizhong Zhang","doi":"10.1109/ICICIP.2015.7388224","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388224","url":null,"abstract":"To measure the high rotation velocity of a motor, this paper proposes a scheme based on an infra-red led pair and integrated chip technology. By analyzing the infrared LED pair working principle, this paper designs a framework including a signal processing algorithm to measure the rotation velocity and display it in real-time. In details, the paper describes the technical specifications about how to use a SCM (Single Chip Microcomputer) and photoelectric sensor to design the hardware circuit and software programming for this system. The hardware circuit, mainly including photoelectric sensor module, pulse signal processing and display module, uses AT89C51 microcontroller as the core chip. With a specific algorithm, the pulse signal sent into the SCM will be processed and the motor rotation velocity will be displayed on a four seven-segment digital tube. Experimental results show that the rotation velocity measurement system is stable, reliable and has a great potential for a wide range of engineering applications.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"24 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":"125512427","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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