the traditional remote data collection has the shortcomings such as the cover scope is small and the corresponding is unreliable, and the wireless network communication has better timeless and does not have the space limitation. The remote data collection and supervisory system based on GPRS/3G (General Packet Radio Service/The 3rd generation communication) network is discussed and designed in the text. It discusses chiefly a scheme which uses JZ4730 microcontroller to control TC35i module and make use of MMS (Multimedia Messaging Service) and SMS (Short Messaging Service) to complete remote data collection and supervision, and supplies a design program of the hardware and software, and then a conclusion is given at the end of paper.
{"title":"The design of intelligence supervisory system of greenhouse based on GPRS/3G","authors":"Jichun Zhao, Jun-feng Zhang Yu-feng, Sufen Sun, Jianxin Guo","doi":"10.1109/ICICISYS.2009.5358258","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358258","url":null,"abstract":"the traditional remote data collection has the shortcomings such as the cover scope is small and the corresponding is unreliable, and the wireless network communication has better timeless and does not have the space limitation. The remote data collection and supervisory system based on GPRS/3G (General Packet Radio Service/The 3rd generation communication) network is discussed and designed in the text. It discusses chiefly a scheme which uses JZ4730 microcontroller to control TC35i module and make use of MMS (Multimedia Messaging Service) and SMS (Short Messaging Service) to complete remote data collection and supervision, and supplies a design program of the hardware and software, and then a conclusion is given at the end of paper.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851879","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5357711
C. Worasucheep
A good optimization algorithm must be capable of handling high-dimensional problems, meaning that there are many decision variables to be optimized at the same time. The problems of this category are challenging. This paper tests the scalability of wDE, which is a differential evolution algorithm with self-adaptive parameters. The statistical results and convergence graphs from the experimentation using benchmark problems of 100-, 500-, and 2000-dimensions are analyzed and compared to three standard variants of differential evolution algorithm.
{"title":"High-dimensional function optimization with a self adaptive differential evolution","authors":"C. Worasucheep","doi":"10.1109/ICICISYS.2009.5357711","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357711","url":null,"abstract":"A good optimization algorithm must be capable of handling high-dimensional problems, meaning that there are many decision variables to be optimized at the same time. The problems of this category are challenging. This paper tests the scalability of wDE, which is a differential evolution algorithm with self-adaptive parameters. The statistical results and convergence graphs from the experimentation using benchmark problems of 100-, 500-, and 2000-dimensions are analyzed and compared to three standard variants of differential evolution algorithm.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263513","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5357777
S. Jalilzadeh, Y. Pirhayati
In this paper an Improved Genetic Algorithm (IGA) for unit commitment problem with lowest cost is presented. The unit commitment problem (UCP) has an important role in power systems, due to improvement of commitment schedules results in the reduction of operating costs. However, the unit commitment problem is one of the most difficult optimization problems in power systems, because this problem has many constraints. Moreover, search space is vast. To overcome these problems, a genetic operator based on unit characteristic classification technique are proposed. From simulation results, better solutions are obtained in comparison with previously reported results.
{"title":"An Improved Genetic Algorithm for unit commitment problem with lowest cost","authors":"S. Jalilzadeh, Y. Pirhayati","doi":"10.1109/ICICISYS.2009.5357777","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357777","url":null,"abstract":"In this paper an Improved Genetic Algorithm (IGA) for unit commitment problem with lowest cost is presented. The unit commitment problem (UCP) has an important role in power systems, due to improvement of commitment schedules results in the reduction of operating costs. However, the unit commitment problem is one of the most difficult optimization problems in power systems, because this problem has many constraints. Moreover, search space is vast. To overcome these problems, a genetic operator based on unit characteristic classification technique are proposed. From simulation results, better solutions are obtained in comparison with previously reported results.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126637834","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5358378
Jinhua Xu, Guangbin Liu, Zhiyong Yu
For making full use of combat efficiency of electronic warfare equipments, it is critical to prefer electromagnetic interference (EMI) tactics. Several uncertainties in the process of preferring are analyzed, and the modeling steps and flowchart for uncertainty preference are proposed in details. Firstly, linguistic terms quantification of indices based on expert system and vague set is studied. Secondly, a comprehensive weighting method based on analytical hierarchical process (AHP) and information entropy (IE) is proposed, which can consider subjective opinions and objective information sufficiently. Thirdly, preference of EMI tactics based on relative predominance is researched using vague similarity measure and technique for order preference by similarity to ideal solution (TOPSIS). Lastly, the proposed method is applied on uncertainty preference of EMI tactics imposed on a certain communication group, and the calculation results have shown the validity.
{"title":"Study on Uncertainty Preference of Electromagnetic Interference Tactics","authors":"Jinhua Xu, Guangbin Liu, Zhiyong Yu","doi":"10.1109/ICICISYS.2009.5358378","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358378","url":null,"abstract":"For making full use of combat efficiency of electronic warfare equipments, it is critical to prefer electromagnetic interference (EMI) tactics. Several uncertainties in the process of preferring are analyzed, and the modeling steps and flowchart for uncertainty preference are proposed in details. Firstly, linguistic terms quantification of indices based on expert system and vague set is studied. Secondly, a comprehensive weighting method based on analytical hierarchical process (AHP) and information entropy (IE) is proposed, which can consider subjective opinions and objective information sufficiently. Thirdly, preference of EMI tactics based on relative predominance is researched using vague similarity measure and technique for order preference by similarity to ideal solution (TOPSIS). Lastly, the proposed method is applied on uncertainty preference of EMI tactics imposed on a certain communication group, and the calculation results have shown the validity.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126741483","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5358184
Liang-An Luo, Z. Shao
Graph theory plays a key role in the field of prediction of protein structure. In this paper, we proposed a new method of protein secondary structure predict based on the path with the maximum weight of a graph. Three vertices of the graph give a possible secondary structure of a protein, and each edge of the graph is assigned a weight by a function. The path with the maximum weight equated the corrected secondary structure. By this method, we tested against several groups proteins and showed that this method was feasible. Finally we discussed the selection of parameters in this method.
{"title":"Protein secondary structure predict based on the path with the maximum weight","authors":"Liang-An Luo, Z. Shao","doi":"10.1109/ICICISYS.2009.5358184","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358184","url":null,"abstract":"Graph theory plays a key role in the field of prediction of protein structure. In this paper, we proposed a new method of protein secondary structure predict based on the path with the maximum weight of a graph. Three vertices of the graph give a possible secondary structure of a protein, and each edge of the graph is assigned a weight by a function. The path with the maximum weight equated the corrected secondary structure. By this method, we tested against several groups proteins and showed that this method was feasible. Finally we discussed the selection of parameters in this method.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114903294","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5358079
F. Rao, Weiming Wang
In this paper, we present a spatial version of the Ivlev-type predaor-prey model which contains some important factors, such as noise on predator, harvest on prey, diffusion processes on both predator and prey. From the numerical results, we know that noise can induce instability and enhance the oscillation of the species density. Our results show that noise plays a prominent role in the predation-diffusion model with constant harvest.
{"title":"Noise effect on a spatial reaction-diffusion model with constant harvest rate","authors":"F. Rao, Weiming Wang","doi":"10.1109/ICICISYS.2009.5358079","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358079","url":null,"abstract":"In this paper, we present a spatial version of the Ivlev-type predaor-prey model which contains some important factors, such as noise on predator, harvest on prey, diffusion processes on both predator and prey. From the numerical results, we know that noise can induce instability and enhance the oscillation of the species density. Our results show that noise plays a prominent role in the predation-diffusion model with constant harvest.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909727","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5357686
Yuan Xiukai, L. Zhenzhou, Lu Yuanbo
The Support Vector Machine (SVM) response surface method (RSM) is proposed on fast Markov chain simulation for the problem with implicit limit state function usually encountered in engineering reliability analysis and design. In the proposed method, Markov chain is used to generate the samples in the important region of the limit state function, and the SVM is employed to construct the response surface by use of these samples. Since Markov chain can adaptively simulate the samples in the important region, and the candidate state but not Markov state is used as the training samples for SVM, the proposed method can well approximate the limit state equation in the zone surrounding the design point, and can make full use of information provided by Markov chain simulation. In addition, the iterative strategy is adopted to improve the convergence speed of the failure probability. Moreover, the proposed method uses the SVM regression method to construct the response surface, which can automatically apply the Structural Risk Minimization (SRM) inductive principle in approximating the limit state equation, thus it can approximate the failure probability with high accuracy. Finally applications in a numerical example and an engineering example indicate that the proposed method owns good performance in calculating efficiency and accuracy.
{"title":"Support Vector Machine response surface method based on fast Markov chain simulation","authors":"Yuan Xiukai, L. Zhenzhou, Lu Yuanbo","doi":"10.1109/ICICISYS.2009.5357686","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357686","url":null,"abstract":"The Support Vector Machine (SVM) response surface method (RSM) is proposed on fast Markov chain simulation for the problem with implicit limit state function usually encountered in engineering reliability analysis and design. In the proposed method, Markov chain is used to generate the samples in the important region of the limit state function, and the SVM is employed to construct the response surface by use of these samples. Since Markov chain can adaptively simulate the samples in the important region, and the candidate state but not Markov state is used as the training samples for SVM, the proposed method can well approximate the limit state equation in the zone surrounding the design point, and can make full use of information provided by Markov chain simulation. In addition, the iterative strategy is adopted to improve the convergence speed of the failure probability. Moreover, the proposed method uses the SVM regression method to construct the response surface, which can automatically apply the Structural Risk Minimization (SRM) inductive principle in approximating the limit state equation, thus it can approximate the failure probability with high accuracy. Finally applications in a numerical example and an engineering example indicate that the proposed method owns good performance in calculating efficiency and accuracy.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072133","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5357725
Z. Yanan, Du Hongwang, An Shaojun, Du Chunyang
In hydraulic servo system control, in order to ensure the high accuracy of the hydraulic servo system that is the system has strong anti-disturbance performance, infinite bandwidth, larger damping ratio and ideal static/dynamic stiffness are all required. As it is difficult to measure the load disturbance under normal circumstances, a state observer was adopted to evaluate the load disturbance. Then, the observed disturbance torque is fed forward, that can reduce the error caused by the load disturbances and increase the effective stiffness. Aiming at the controlled object with large inertia, the PD controller, which is needed to avoid unacceptable overshoot and improve system dynamic performance, was applied to position control. The system with or without load observer participating in control was compared by simulating; the simulation studies indicate that this method can enhance anti-disturbance ability and improve system dynamic performance.
{"title":"Position control of hydraulic servo system based on state observer and feedforward","authors":"Z. Yanan, Du Hongwang, An Shaojun, Du Chunyang","doi":"10.1109/ICICISYS.2009.5357725","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357725","url":null,"abstract":"In hydraulic servo system control, in order to ensure the high accuracy of the hydraulic servo system that is the system has strong anti-disturbance performance, infinite bandwidth, larger damping ratio and ideal static/dynamic stiffness are all required. As it is difficult to measure the load disturbance under normal circumstances, a state observer was adopted to evaluate the load disturbance. Then, the observed disturbance torque is fed forward, that can reduce the error caused by the load disturbances and increase the effective stiffness. Aiming at the controlled object with large inertia, the PD controller, which is needed to avoid unacceptable overshoot and improve system dynamic performance, was applied to position control. The system with or without load observer participating in control was compared by simulating; the simulation studies indicate that this method can enhance anti-disturbance ability and improve system dynamic performance.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116164215","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5358170
Afshin Kadri, M. Monadi
In recent years, using Controllable Series Device (CSD) such as Controllable Series Capacitors (CSCs) has been considered to improve transient stability and damp power oscillations. These devices can be useful if they have suitable input signals and control strategy. In this paper base on Lyapunov theory mixed with Fuzzy control system (FLC) a useful controller has been developed for damping the electromagnetic power oscillations in a Single Machine Power System. To simulate CSC device an injection model is used. This model is valid for load flow and angle stability analysis and is helpful for understanding the impact of the CSD on power system stability. Simulation results show that Fuzzy Lyapunov Function has a good performance in damping power oscillation and it can improve transient stability in power systems.
{"title":"A Fuzzy Lyapunov controller for Controllable Series Capacitor in power system","authors":"Afshin Kadri, M. Monadi","doi":"10.1109/ICICISYS.2009.5358170","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358170","url":null,"abstract":"In recent years, using Controllable Series Device (CSD) such as Controllable Series Capacitors (CSCs) has been considered to improve transient stability and damp power oscillations. These devices can be useful if they have suitable input signals and control strategy. In this paper base on Lyapunov theory mixed with Fuzzy control system (FLC) a useful controller has been developed for damping the electromagnetic power oscillations in a Single Machine Power System. To simulate CSC device an injection model is used. This model is valid for load flow and angle stability analysis and is helpful for understanding the impact of the CSD on power system stability. Simulation results show that Fuzzy Lyapunov Function has a good performance in damping power oscillation and it can improve transient stability in power systems.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122298931","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 : 2009-12-28DOI: 10.1109/ICICISYS.2009.5357642
Jing Zhang, Yun Zhao, Yuting Su
Splicing detection is of fundamental importance in digital image forensics. Recent image forensic research has resulted in a number of tampering detection techniques utilizing statistical features. Fusion of multiple features provides promises for improving detection performance. In this paper, we propose a new splicing detection approach based on the features utilized for steganalysis. We merge Markov process based features and discrete cosine transform (DCT) features for splicing detection. The proposed approach can achieve an accuracy of 91.5% with a 109-dimensional feature vector. Experimental results demonstrate its superior performance over the prior arts.
{"title":"A new approach merging markov and DCT features for image splicing detection","authors":"Jing Zhang, Yun Zhao, Yuting Su","doi":"10.1109/ICICISYS.2009.5357642","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357642","url":null,"abstract":"Splicing detection is of fundamental importance in digital image forensics. Recent image forensic research has resulted in a number of tampering detection techniques utilizing statistical features. Fusion of multiple features provides promises for improving detection performance. In this paper, we propose a new splicing detection approach based on the features utilized for steganalysis. We merge Markov process based features and discrete cosine transform (DCT) features for splicing detection. The proposed approach can achieve an accuracy of 91.5% with a 109-dimensional feature vector. Experimental results demonstrate its superior performance over the prior arts.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122422713","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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