Pub Date : 2009-12-28DOI: 10.1109/ICICISYS.2009.5358216
Xiufang Feng, Xiuli Cui, Z. Guan
At present, the majority of studies about coverage are based on isomorphic sensor nodes in wireless sensor networks, and such assumptions can simplify the problem. But we have to consider the coverage of heterogeneous nodes because of actual application. This paper presents a Coverage-Enhancing Algorithm for Heterogeneous Sensor Networks. We design the sensing model of heterogeneous nodes based on their characteristics, analyze and define the coverage problem on the basis of the model, demonstrate how to maximize the coverage in ideal state, and enhance the entire coverage of heterogeneous network. Simulations show the validity of the algorithm.
{"title":"A Coverage-Enhancing Algorithm for Heterogeneous Sensor Networks","authors":"Xiufang Feng, Xiuli Cui, Z. Guan","doi":"10.1109/ICICISYS.2009.5358216","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358216","url":null,"abstract":"At present, the majority of studies about coverage are based on isomorphic sensor nodes in wireless sensor networks, and such assumptions can simplify the problem. But we have to consider the coverage of heterogeneous nodes because of actual application. This paper presents a Coverage-Enhancing Algorithm for Heterogeneous Sensor Networks. We design the sensing model of heterogeneous nodes based on their characteristics, analyze and define the coverage problem on the basis of the model, demonstrate how to maximize the coverage in ideal state, and enhance the entire coverage of heterogeneous network. Simulations show the validity of the algorithm.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"56 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132604360","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.2009.5358306
Yingying Liu, Jun Zhou
Dynamic and control for short tethered satellite in short distance space operation is studied. The dynamic model of the tethered satellite is established. The deploy method for short tethered satellite is discussed. The dynamic characters of the system in the developing phase are analyzed. The subsatellite could be deployed to directions other than the vertical direction with an initial velocity. Fuzzy control scheme is designed considering the precision of the tether direction and the output character of the thrusters. The fuzzy control system can keep the sub-satellite in the ideal direction. The angles of the tether are within 0.5deg from the ideal values and angular velocity is within 0.03deg/s during the developing period. Thrusters do not need to work frequently. Numerical simulation testified the efficiency of the system.
{"title":"Dynamics and fuzzy control for short tethered satellite","authors":"Yingying Liu, Jun Zhou","doi":"10.1109/ICICISYS.2009.5358306","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358306","url":null,"abstract":"Dynamic and control for short tethered satellite in short distance space operation is studied. The dynamic model of the tethered satellite is established. The deploy method for short tethered satellite is discussed. The dynamic characters of the system in the developing phase are analyzed. The subsatellite could be deployed to directions other than the vertical direction with an initial velocity. Fuzzy control scheme is designed considering the precision of the tether direction and the output character of the thrusters. The fuzzy control system can keep the sub-satellite in the ideal direction. The angles of the tether are within 0.5deg from the ideal values and angular velocity is within 0.03deg/s during the developing period. Thrusters do not need to work frequently. Numerical simulation testified the efficiency of the system.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"44 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":"130808425","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.2009.5358278
Hu Hui, Guorong Liu, Pengfei Guo
An adaptive neural network H∞ tracking control architecture with state observer is proposed for a class of non-affine nonlinear systems with external disturbance and unavailable states. The controller consists of an equivalent controller and H∞ controller. H∞ controller is designed to attenuate the effect of external disturbance and approximation errors of the neural network, and a state observer is used to estimate the system output derivatives which are unavailable for measurement. The overall control scheme and the parameters update laws based on Lyapunov theory can guarantee asymptotic convergence of the tracking error to zero and attenuate the effect of the disturbance to a prescribed level. Simulation results illustrate the effectiveness of the scheme.
{"title":"Adaptive Neural Network H∞ tracking control for a class of uncertain nonlinear systems","authors":"Hu Hui, Guorong Liu, Pengfei Guo","doi":"10.1109/ICICISYS.2009.5358278","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358278","url":null,"abstract":"An adaptive neural network H∞ tracking control architecture with state observer is proposed for a class of non-affine nonlinear systems with external disturbance and unavailable states. The controller consists of an equivalent controller and H∞ controller. H∞ controller is designed to attenuate the effect of external disturbance and approximation errors of the neural network, and a state observer is used to estimate the system output derivatives which are unavailable for measurement. The overall control scheme and the parameters update laws based on Lyapunov theory can guarantee asymptotic convergence of the tracking error to zero and attenuate the effect of the disturbance to a prescribed level. Simulation results illustrate the effectiveness of the scheme.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"108 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":"133306085","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.2009.5358334
Xu Gaochun, Dai Chunxiang, L. Limin, Cui Haibo
In the paper, the FLUENT software is used for numerical simulation and characteristic analysis for gas flow in nozzle, unitary flow theory is also applied to establish the mathematical model for nozzle, especially its backpressure functions and associated boundary conditions are defined, and numerical methods for unsteady flow in the nozzle are obtained. Besides, according to governing equations, the relationship between speed and pressure of gas flow is analyzed as well as that between speed of gas flow and section area of the nozzle.
{"title":"Characteristic analysis and numerical simulation for gas flow in nozzle","authors":"Xu Gaochun, Dai Chunxiang, L. Limin, Cui Haibo","doi":"10.1109/ICICISYS.2009.5358334","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358334","url":null,"abstract":"In the paper, the FLUENT software is used for numerical simulation and characteristic analysis for gas flow in nozzle, unitary flow theory is also applied to establish the mathematical model for nozzle, especially its backpressure functions and associated boundary conditions are defined, and numerical methods for unsteady flow in the nozzle are obtained. Besides, according to governing equations, the relationship between speed and pressure of gas flow is analyzed as well as that between speed of gas flow and section area of the nozzle.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"18 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":"133624364","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.2009.5358387
Huaping Zhang, Hongda Fan, Shuping Ma
The robust output feedback stabilization problem for discrete-time Markov jump singular systems with parameter uncertainties is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the singular system is transformed into a discrete-time Markov jump standard linear system, then by discussing the transformed system, the output feedback controller is obtained in terms of the linear matrix inequalities condition which guarantees that the closed-loop system is regular, causal, robust stochastically stable, the output feedback controller obtained can be reduced order. A numerical example illustrates the effectiveness of the method given in the paper.
{"title":"Robust output feedback stabilization for uncertain discrete-time Markov jump singular systems","authors":"Huaping Zhang, Hongda Fan, Shuping Ma","doi":"10.1109/ICICISYS.2009.5358387","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358387","url":null,"abstract":"The robust output feedback stabilization problem for discrete-time Markov jump singular systems with parameter uncertainties is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the singular system is transformed into a discrete-time Markov jump standard linear system, then by discussing the transformed system, the output feedback controller is obtained in terms of the linear matrix inequalities condition which guarantees that the closed-loop system is regular, causal, robust stochastically stable, the output feedback controller obtained can be reduced order. A numerical example illustrates the effectiveness of the method given in the paper.","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":"132688966","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.2009.5357647
Xiaoming Nan, Zhicheng Zhao, A. Cai, Xiaohui Xie
In this paper, a novel framework for semantic-based video retrieval is proposed. 15 low-level visual features on different levels are extracted and a supervised SVM classifier is trained for each feature. We have explored early fusion schemes between SIFT and SURF, and evaluated 4 kinds of later fusion strategies. Experiments on TRECVID dataset show that the proposed system is effective and stable.
{"title":"A novel framework for semantic-based video retrieval","authors":"Xiaoming Nan, Zhicheng Zhao, A. Cai, Xiaohui Xie","doi":"10.1109/ICICISYS.2009.5357647","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357647","url":null,"abstract":"In this paper, a novel framework for semantic-based video retrieval is proposed. 15 low-level visual features on different levels are extracted and a supervised SVM classifier is trained for each feature. We have explored early fusion schemes between SIFT and SURF, and evaluated 4 kinds of later fusion strategies. Experiments on TRECVID dataset show that the proposed system is effective and stable.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"10 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":"132698605","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.2009.5358171
J. Hang, Z. Fan, Feng She
This paper deals with the design and analysis of joint user scheduling and power optimization for multiantenna OFDM systems with DPC, ZF-DPC, ZFBF and TDMA transmit strategies. We consider the general multiuser downlink scheduling problem with multiuser rate constraints. We given the power duality relationship between downlink and uplink. Based on channel state information, we present joint user selection algorithms, and we also accordingly give the power optimization algorithm with rate constraints. Simulation results show that the presented user scheduling and power minimization algorithms can achieve good performance, at the same time, the algorithms can also guarantee fairness among users.
{"title":"Performance analysis of power optimization and user scheduling in multi-user MIMO-OFDM systems","authors":"J. Hang, Z. Fan, Feng She","doi":"10.1109/ICICISYS.2009.5358171","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358171","url":null,"abstract":"This paper deals with the design and analysis of joint user scheduling and power optimization for multiantenna OFDM systems with DPC, ZF-DPC, ZFBF and TDMA transmit strategies. We consider the general multiuser downlink scheduling problem with multiuser rate constraints. We given the power duality relationship between downlink and uplink. Based on channel state information, we present joint user selection algorithms, and we also accordingly give the power optimization algorithm with rate constraints. Simulation results show that the presented user scheduling and power minimization algorithms can achieve good performance, at the same time, the algorithms can also guarantee fairness among users.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"47 6 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":"133162053","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.2009.5358044
Jumrern Pimery, P. Kumhom
A hardware design for genetic algorithm (GA) can implement only one specific cost function of a problem at a time. Actually, different GA applications require different GA hardware architecture. The development of a flexible very-large-scale integration (VLSI) for GA has been proposed in this paper. For the hardware architecture, we has develop on a random number generator (RNG), crossover, and mutation based on flexibility structure. This structure can dynamically perform to the 3 types chromosome encoding: binary encoding, real-value encoding, and integer encoding. The overall structures has been designed and synthesized by VHDL (VHSIC hardware description language), simulation by ModelSim program, and then implemented on FPGAs (Field programmable gate arrays). This hardware architecture that our design work very well flexible for the 3 groups problem examples: combinatorial optimization problems, function optimal problems, and part planning optimization problems.
{"title":"Development of a flexible hardware core for genetic algorithm","authors":"Jumrern Pimery, P. Kumhom","doi":"10.1109/ICICISYS.2009.5358044","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358044","url":null,"abstract":"A hardware design for genetic algorithm (GA) can implement only one specific cost function of a problem at a time. Actually, different GA applications require different GA hardware architecture. The development of a flexible very-large-scale integration (VLSI) for GA has been proposed in this paper. For the hardware architecture, we has develop on a random number generator (RNG), crossover, and mutation based on flexibility structure. This structure can dynamically perform to the 3 types chromosome encoding: binary encoding, real-value encoding, and integer encoding. The overall structures has been designed and synthesized by VHDL (VHSIC hardware description language), simulation by ModelSim program, and then implemented on FPGAs (Field programmable gate arrays). This hardware architecture that our design work very well flexible for the 3 groups problem examples: combinatorial optimization problems, function optimal problems, and part planning optimization problems.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"37 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":"133248847","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.2009.5357836
M. Tan, Zhen Wei
To overcome the drawback that switched Ethernet does not guarantee the timely delivery of real-time messages in industrial communication, an improved FTT (Flexible Time- Triggered communication) paradigm was proposed for hard real-time communications of periodic messages on switched Ethernet. In addition, an optimization condition for feasibility check of periodic messages was given. Particularly, we proposed an EDF-based algorithm to schedule periodic messages to be transmitted within their deadlines over COTS switched Ethernet running in the cut-through mode. Simulation results showed the advantages of the proposed real-time scheduling algorithm in terms of using the aggregated switch throughput.
{"title":"A real-time scheduling algorithm for industrial communication","authors":"M. Tan, Zhen Wei","doi":"10.1109/ICICISYS.2009.5357836","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5357836","url":null,"abstract":"To overcome the drawback that switched Ethernet does not guarantee the timely delivery of real-time messages in industrial communication, an improved FTT (Flexible Time- Triggered communication) paradigm was proposed for hard real-time communications of periodic messages on switched Ethernet. In addition, an optimization condition for feasibility check of periodic messages was given. Particularly, we proposed an EDF-based algorithm to schedule periodic messages to be transmitted within their deadlines over COTS switched Ethernet running in the cut-through mode. Simulation results showed the advantages of the proposed real-time scheduling algorithm in terms of using the aggregated switch throughput.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"1 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":"128818405","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 character of gas moving and air flow in heading laneway of underground coal mine was analyzed. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal ventilation and gas discharging. In order to enhance the learning capabilities of the system to the environment, self-learning fuzzy model for auxiliary fan was built to tackle with normal ventilation and gas discharging problem, and SRD was applied to perform speed adjusting of the system. An experiment platform including DSP and IPM was founded to testify the control strategy. The experiment results showed that the system had a pulse function, achieved an efficient, safe, leaving no gas discharging, and the function of intelligent gas emission system was fine.
{"title":"Gas discharging system based on fuzzy control","authors":"Guodong You, Shifeng Yang, Xue Yan, Zhensheng Wang, Dejin Wang, Yongle Hou, Jisheng Li, Shufang Wang","doi":"10.1109/ICICISYS.2009.5358353","DOIUrl":"https://doi.org/10.1109/ICICISYS.2009.5358353","url":null,"abstract":"The character of gas moving and air flow in heading laneway of underground coal mine was analyzed. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal ventilation and gas discharging. In order to enhance the learning capabilities of the system to the environment, self-learning fuzzy model for auxiliary fan was built to tackle with normal ventilation and gas discharging problem, and SRD was applied to perform speed adjusting of the system. An experiment platform including DSP and IPM was founded to testify the control strategy. The experiment results showed that the system had a pulse function, achieved an efficient, safe, leaving no gas discharging, and the function of intelligent gas emission system was fine.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"7 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":"127868831","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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