Pub Date : 2010-05-22DOI: 10.1109/IWISA.2010.5473581
Shunan Ma, Jingsha He
As entities in distributed environments lack sufficient global information, it is difficult to evaluate trust accurately. By considering characteristics of resources in distributed environments such as openness, dynamicity and uncertainty, we proposed a new dynamic trust evaluation model in this paper. The model describes factors that can affect trust evaluation based on a multi-dimensional view that include static attributes of entities, time-based behavior speculation, context awareness and communication conditions. Genetic algorithm (GA) is then introduced to do trust computation in the proposed model, which is important due to the lack of mathematical tools in traditional trust models for multi-dimensional data processing. Simulation results show that our proposed model is better compared to other trust evaluation models.
{"title":"A Multi-Dimension Dynamic Trust Evaluation Model Based on GA","authors":"Shunan Ma, Jingsha He","doi":"10.1109/IWISA.2010.5473581","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473581","url":null,"abstract":"As entities in distributed environments lack sufficient global information, it is difficult to evaluate trust accurately. By considering characteristics of resources in distributed environments such as openness, dynamicity and uncertainty, we proposed a new dynamic trust evaluation model in this paper. The model describes factors that can affect trust evaluation based on a multi-dimensional view that include static attributes of entities, time-based behavior speculation, context awareness and communication conditions. Genetic algorithm (GA) is then introduced to do trust computation in the proposed model, which is important due to the lack of mathematical tools in traditional trust models for multi-dimensional data processing. Simulation results show that our proposed model is better compared to other trust evaluation models.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310675","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473307
Wentao Xiong, Huan Qi
In this paper, a new method is presented for stochastic multi-criteria decision making (SMCDM) problem with incomplete weight information based on the traditional idea of TOPSIS method. In this approach, the SMCDM problem can be converted into an interval multi-criteria decision making (IMCDM) problem by interval estimation. In order to avoid the rank reversal phenomenon, the modified TOPSIS method is proposed by the concept of absolute positive and negative ideal solutions. Meanwhile, the interval values of relative closeness are computed using the simple nonlinear programming. The average relative closeness is obtained to determine the ranking of alternatives. Finally a numerical example is given to illustrate the effectiveness and practicality of proposed method.
{"title":"A Extended TOPSIS Method for the Stochastic Multi-Criteria Decision Making Problem through Interval Estimation","authors":"Wentao Xiong, Huan Qi","doi":"10.1109/IWISA.2010.5473307","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473307","url":null,"abstract":"In this paper, a new method is presented for stochastic multi-criteria decision making (SMCDM) problem with incomplete weight information based on the traditional idea of TOPSIS method. In this approach, the SMCDM problem can be converted into an interval multi-criteria decision making (IMCDM) problem by interval estimation. In order to avoid the rank reversal phenomenon, the modified TOPSIS method is proposed by the concept of absolute positive and negative ideal solutions. Meanwhile, the interval values of relative closeness are computed using the simple nonlinear programming. The average relative closeness is obtained to determine the ranking of alternatives. Finally a numerical example is given to illustrate the effectiveness and practicality of proposed method.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124708225","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473518
Yongqi Huang, Gaoyan Deng, Xiaochun Wu, Zhui Zhao
Geo-ontology provides explicit and formalized definition of shared geographic concepts, applied to aspects such as sharing and interoperating geographic information, integrating geographic information based on semantics and geographic information service. This paper adopts geo-ontology to establish logistics domain ontology so as to store abundant semantics information and represent intricate dependent relationships. At the same time this paper uses SWRL lay down domain rules, and obtains some logistic business conclusions by Jess reasoning engine. Semantics information represented by geo-ontology can automatically implement reasonable semantics extension of logistic rules and obtain more complete reasoning results, so as to realize standardization and reusability of representation of information. In the meantime, Jess reasoning engine can automatically reason out implication relationships among logistic concepts, which will liberate logistic business personnel from tedious and inefficient business.
{"title":"Research on GIS for Logistics Based on Geo-Ontology","authors":"Yongqi Huang, Gaoyan Deng, Xiaochun Wu, Zhui Zhao","doi":"10.1109/IWISA.2010.5473518","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473518","url":null,"abstract":"Geo-ontology provides explicit and formalized definition of shared geographic concepts, applied to aspects such as sharing and interoperating geographic information, integrating geographic information based on semantics and geographic information service. This paper adopts geo-ontology to establish logistics domain ontology so as to store abundant semantics information and represent intricate dependent relationships. At the same time this paper uses SWRL lay down domain rules, and obtains some logistic business conclusions by Jess reasoning engine. Semantics information represented by geo-ontology can automatically implement reasonable semantics extension of logistic rules and obtain more complete reasoning results, so as to realize standardization and reusability of representation of information. In the meantime, Jess reasoning engine can automatically reason out implication relationships among logistic concepts, which will liberate logistic business personnel from tedious and inefficient business.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121610261","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473714
Wen-bo Liu, Mengxiao Wang
To overcome the shortcomings that the control effect of conventional Smith predictor will be worse when the parameters of time delay systems change, an adaptive fuzzy Smith control method is presented in this paper. It adds a fuzzy controller in the combination of Smith predictor and PID controller. The control parameters are adjusted online by the fuzzy controller to adapt the control requirement. And the simulation study had been done for a first-order time-delay system. The results show that this method offer good static and dynamic characteristics, at the same time its disturbance-rejection and robustness are better.
{"title":"Research on Fuzzy Smith Control Method for Time Delay Systems","authors":"Wen-bo Liu, Mengxiao Wang","doi":"10.1109/IWISA.2010.5473714","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473714","url":null,"abstract":"To overcome the shortcomings that the control effect of conventional Smith predictor will be worse when the parameters of time delay systems change, an adaptive fuzzy Smith control method is presented in this paper. It adds a fuzzy controller in the combination of Smith predictor and PID controller. The control parameters are adjusted online by the fuzzy controller to adapt the control requirement. And the simulation study had been done for a first-order time-delay system. The results show that this method offer good static and dynamic characteristics, at the same time its disturbance-rejection and robustness are better.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122452832","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473388
Xiaoli Hao, Fu Duan, Bin Liang
Traditional clustering algorithm usually adopt uniform granularity. It easily leads to too fine or too coarse in clustering process. The former may divides objects into different classes which should be in one. The latter group objects into one class which should be in different. Due to it, we introduce dynamic granularity into traditional clustering algorithm. Firstly, based on research, we present granular lattice matrix space model. Then we describe problem of clustering by the new model. Finally we provide new clustering algorithm based on the new model. To testify the new algorithm, we present tests to prove its efficiency.
{"title":"Dynamic Clustering Algorithm Based on Granular Lattice Matrix Space Model","authors":"Xiaoli Hao, Fu Duan, Bin Liang","doi":"10.1109/IWISA.2010.5473388","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473388","url":null,"abstract":"Traditional clustering algorithm usually adopt uniform granularity. It easily leads to too fine or too coarse in clustering process. The former may divides objects into different classes which should be in one. The latter group objects into one class which should be in different. Due to it, we introduce dynamic granularity into traditional clustering algorithm. Firstly, based on research, we present granular lattice matrix space model. Then we describe problem of clustering by the new model. Finally we provide new clustering algorithm based on the new model. To testify the new algorithm, we present tests to prove its efficiency.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123990869","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473340
C. Song, Jianhua Li, L. Jin, Ji Wang
With xPC Target we can convert a PC compatible computer into a real-time system and build a hardware in-loop test bench of ESP system based on CAN bus technology. It will be more convenient and faster than traditional way. Since there is not a drive module of CAN PCI-1680U which could be invoked directly in xPC Target, by using S-function, the article compiled a drive module which can be invoked in xPC Target and used in ESP hardware-in-loop test bench, and achieved the CAN telecommunication between ECU and sensors.
{"title":"Development of CAN Card Driver Module Using S-Function in xPC Target","authors":"C. Song, Jianhua Li, L. Jin, Ji Wang","doi":"10.1109/IWISA.2010.5473340","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473340","url":null,"abstract":"With xPC Target we can convert a PC compatible computer into a real-time system and build a hardware in-loop test bench of ESP system based on CAN bus technology. It will be more convenient and faster than traditional way. Since there is not a drive module of CAN PCI-1680U which could be invoked directly in xPC Target, by using S-function, the article compiled a drive module which can be invoked in xPC Target and used in ESP hardware-in-loop test bench, and achieved the CAN telecommunication between ECU and sensors.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126384295","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473243
Qiang Fu, Nan Tong
Based on the niche idea and the catastrophe theory, a new particle swarm optimization algorithm is suggested in this paper, which can adaptively adjust the swarm grouping. This algorithm proposes that, after obtaining local optimal area, only parts of the particles are left to find local optimal point, while other particles are dealt with by catastrophe, and are restrained in the remaining regions for new search. In this way, the particle swarm can not only improve the convergence rate and precision, but also effectively enhance the ability of global optimization. Therefore, this new algorithm can be applied to predict the maximum power point (MPP) of the photovoltaic cell. Meanwhile, the effectiveness of this algorithm is demonstrated in the experimental findings.
{"title":"A New PSO Algorithm Based on Adaptive Grouping for Photovoltaic MPP Prediction","authors":"Qiang Fu, Nan Tong","doi":"10.1109/IWISA.2010.5473243","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473243","url":null,"abstract":"Based on the niche idea and the catastrophe theory, a new particle swarm optimization algorithm is suggested in this paper, which can adaptively adjust the swarm grouping. This algorithm proposes that, after obtaining local optimal area, only parts of the particles are left to find local optimal point, while other particles are dealt with by catastrophe, and are restrained in the remaining regions for new search. In this way, the particle swarm can not only improve the convergence rate and precision, but also effectively enhance the ability of global optimization. Therefore, this new algorithm can be applied to predict the maximum power point (MPP) of the photovoltaic cell. Meanwhile, the effectiveness of this algorithm is demonstrated in the experimental findings.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129593371","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473658
Yanlin Zhang
This article introduces the image segmentation principles and techniques,and general image segmentation techniques and rule-based inference in artificial intelligence are used to recognize intruders.After segmentation and getting the suspected light-area in the image,the rule-based inference for intelligent recognition of the area is techniquely applied.The target tracking process of inmonitoring system is further introduced.The results show that this technique is practical,reliable and in real-time.It can also send the alarm signal and the suspected light-area image to the alarm center through networks.
{"title":"Research on Image Recognition Techniques Applied to Intelligent Monitoring System Based on Ant Colony Algorithm","authors":"Yanlin Zhang","doi":"10.1109/IWISA.2010.5473658","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473658","url":null,"abstract":"This article introduces the image segmentation principles and techniques,and general image segmentation techniques and rule-based inference in artificial intelligence are used to recognize intruders.After segmentation and getting the suspected light-area in the image,the rule-based inference for intelligent recognition of the area is techniquely applied.The target tracking process of inmonitoring system is further introduced.The results show that this technique is practical,reliable and in real-time.It can also send the alarm signal and the suspected light-area image to the alarm center through networks.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128646475","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473333
Yong Gu
The scheduling problem of emergency materials after disaster is discussed. Considering more numerous and urgency of the needs of emergency materials, minimum disaster loss is set as objective function. Fuzzy set methods is used to select the maximum satisfaction path in fuzzy network. Scheduling model of emergency materials in uncertainty travel time conditions is established, and experimental calculation is conducted to verify its solution approach.
{"title":"Study on Scheduling Model of Emergency Materials Distribution after Natural Disaster","authors":"Yong Gu","doi":"10.1109/IWISA.2010.5473333","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473333","url":null,"abstract":"The scheduling problem of emergency materials after disaster is discussed. Considering more numerous and urgency of the needs of emergency materials, minimum disaster loss is set as objective function. Fuzzy set methods is used to select the maximum satisfaction path in fuzzy network. Scheduling model of emergency materials in uncertainty travel time conditions is established, and experimental calculation is conducted to verify its solution approach.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130161436","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 : 2010-05-22DOI: 10.1109/IWISA.2010.5473255
C. Hao, Denghua Li, Shuhua Peng
According to the character of the volume-lag of the controlled process of three-tank-system, Smith predictor was adopted to compensate three-tank-system fuzzy adaptive control system. Fuzzy adaptive Smith predictive control system is composed with Smith predictor and fuzzy adaptive controller. The PID parameters were setting on line. This algorithm uses fuzzy adaptive PID control to improve the resistance ability to random disturbance and Smith predictive control to overcome the time-delay character of controlled object. Simulation results showed that this control algorithm has the advantages of strong adaptive ability and noise immunity.
{"title":"The Fuzzy Adaptive Smith-PID Control of Three-Tank-System","authors":"C. Hao, Denghua Li, Shuhua Peng","doi":"10.1109/IWISA.2010.5473255","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473255","url":null,"abstract":"According to the character of the volume-lag of the controlled process of three-tank-system, Smith predictor was adopted to compensate three-tank-system fuzzy adaptive control system. Fuzzy adaptive Smith predictive control system is composed with Smith predictor and fuzzy adaptive controller. The PID parameters were setting on line. This algorithm uses fuzzy adaptive PID control to improve the resistance ability to random disturbance and Smith predictive control to overcome the time-delay character of controlled object. Simulation results showed that this control algorithm has the advantages of strong adaptive ability and noise immunity.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"95 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127290472","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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