Pub Date : 2010-05-22DOI: 10.1109/IWISA.2010.5473248
Quanmin Guo, J. Dai, Jian Wang
The fire signal detection is a non-structural problem and difficult to be precise described by mathematical model, which increase the difficulty of fire detection. According to the special type of signal detection technique such as fire signal detection, a fire detection model based on fuzzy-neural network is presented. This paper described the design method of the model, as well as its learning algorithm. In standard fire test rooms, simulation experiments were carried out for smoldering fire SH1 and flaming fire SH3 of the china national standard test fires, the model can make right judgment. Theory analysis and simulation study show that the model combines the advantages of fuzzy system and neural network, and improves the intelligence of fire detection, has a stronger ability to adapt the environment. It effectively solves the problems of mistake and failure in the fire alarm, and improves the sensibility of fire detection.
{"title":"Study on Fire Detection Model Based on Fuzzy Neural Network","authors":"Quanmin Guo, J. Dai, Jian Wang","doi":"10.1109/IWISA.2010.5473248","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473248","url":null,"abstract":"The fire signal detection is a non-structural problem and difficult to be precise described by mathematical model, which increase the difficulty of fire detection. According to the special type of signal detection technique such as fire signal detection, a fire detection model based on fuzzy-neural network is presented. This paper described the design method of the model, as well as its learning algorithm. In standard fire test rooms, simulation experiments were carried out for smoldering fire SH1 and flaming fire SH3 of the china national standard test fires, the model can make right judgment. Theory analysis and simulation study show that the model combines the advantages of fuzzy system and neural network, and improves the intelligence of fire detection, has a stronger ability to adapt the environment. It effectively solves the problems of mistake and failure in the fire alarm, and improves the sensibility of fire detection.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"143 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":"133583509","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.2010.5473289
Wei-Ping Lee, Shen-Wei Chen
In this paper, an improved Differential Evolution algorithm (ACDE-O) with cluster number oscillation for automatic crisp clustering has been presented. The proposed algorithm needs no prior knowledge of the number of clusters of the data. Rather, it finds the optimal number of clusters on the processing with stable and fast convergence, cluster number oscillation mechanism will search more possible cluster number in case of bad initial cluster number caused bad clusters. Superiority of the proposed algorithm is demonstrated by comparing it with one recently developed partitional clustering algorithm. Experimental results over three real life datasets and the performance of proposed algorithm is mostly better than the other one.
{"title":"Automatic Clustering with Differential Evolution Using Cluster Number Oscillation Method","authors":"Wei-Ping Lee, Shen-Wei Chen","doi":"10.1109/IWISA.2010.5473289","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473289","url":null,"abstract":"In this paper, an improved Differential Evolution algorithm (ACDE-O) with cluster number oscillation for automatic crisp clustering has been presented. The proposed algorithm needs no prior knowledge of the number of clusters of the data. Rather, it finds the optimal number of clusters on the processing with stable and fast convergence, cluster number oscillation mechanism will search more possible cluster number in case of bad initial cluster number caused bad clusters. Superiority of the proposed algorithm is demonstrated by comparing it with one recently developed partitional clustering algorithm. Experimental results over three real life datasets and the performance of proposed algorithm is mostly better than the other one.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"27 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":"127670006","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.2010.5473237
Miao Wang, Xuequn Shang, Xiao-gang Lei, Zhanhuai Li
The prediction of protein function is one of the most challenging problems in bioinformatics. Several studies have shown that the prediction using PPI is promising. However, the PPI data generated from high-throughput experiments are very noisy, which renders great challenges to the existing methods. In this paper, we propose an algorithm, MFC, to efficiently mine maximal frequent dense subgraphs without candidate maintenance in PPI networks. It adopts several techniques to achieve efficient mining. We evaluate our approach on four human PPI data sets. The experimental results show our approach has good performance in terms of efficiency.
{"title":"Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in PPI Networks","authors":"Miao Wang, Xuequn Shang, Xiao-gang Lei, Zhanhuai Li","doi":"10.1109/IWISA.2010.5473237","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473237","url":null,"abstract":"The prediction of protein function is one of the most challenging problems in bioinformatics. Several studies have shown that the prediction using PPI is promising. However, the PPI data generated from high-throughput experiments are very noisy, which renders great challenges to the existing methods. In this paper, we propose an algorithm, MFC, to efficiently mine maximal frequent dense subgraphs without candidate maintenance in PPI networks. It adopts several techniques to achieve efficient mining. We evaluate our approach on four human PPI data sets. The experimental results show our approach has good performance in terms of efficiency.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"7 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":"127737178","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.2010.5473552
Lei Shi, Z. Xie
Human being has been involved in a new information environment combining with embedded computing product and network. This combination is changing the relationships not only between human and product but also person to person. Information communication is required to be an important facet in product innovation. It is considered that the physical, cognitive and affective are the three levels of information communication. While the physical and cognitive levels of information design have been greatly improved in the last decade, it is important to rethink how affective design can improve interactions between human and products or interpersonal relationships. The paper discusses the evolution in information communications from three levels of the physical, cognitive and affective, and proposes design strategies approaching the affective design in product innovation.
{"title":"Designing Product to Improve Affective Communication","authors":"Lei Shi, Z. Xie","doi":"10.1109/IWISA.2010.5473552","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473552","url":null,"abstract":"Human being has been involved in a new information environment combining with embedded computing product and network. This combination is changing the relationships not only between human and product but also person to person. Information communication is required to be an important facet in product innovation. It is considered that the physical, cognitive and affective are the three levels of information communication. While the physical and cognitive levels of information design have been greatly improved in the last decade, it is important to rethink how affective design can improve interactions between human and products or interpersonal relationships. The paper discusses the evolution in information communications from three levels of the physical, cognitive and affective, and proposes design strategies approaching the affective design in product innovation.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"8 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":"132808139","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.2010.5473500
W. Lv
Effective knowledge sharing cannot be forced or mandated. Organizations desiring to institutionalize knowledge sharing behaviors must foster facilitative work context. The aim of this paper is to develop a deeper understanding of the factors inhibiting individuals' knowledge sharing intentions, and suggest a method to shape appropriate work context. To reach this goal, this paper focus on the inner knowledge externalization process, and formulate a research model which integrate self-concept-based model and theory of reasoned action to explain how contextual forces can transform into the triggers of inner motivations. Using the Structural Equation Modeling (SEM) method, data analysis showed that most of the research hypotheses were supported. The research findings show that the firm should (1) make the employees regard knowledge sharing as an enjoyment; (2) enforce their sense of belonging ; (3) induce employees' focus on long term return rather than shore term wins; (4) leverage centrality and promote individual reputations may also be helpful.
{"title":"Knowledge Sharing Behavior in Organization: An Empirical Investigation","authors":"W. Lv","doi":"10.1109/IWISA.2010.5473500","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473500","url":null,"abstract":"Effective knowledge sharing cannot be forced or mandated. Organizations desiring to institutionalize knowledge sharing behaviors must foster facilitative work context. The aim of this paper is to develop a deeper understanding of the factors inhibiting individuals' knowledge sharing intentions, and suggest a method to shape appropriate work context. To reach this goal, this paper focus on the inner knowledge externalization process, and formulate a research model which integrate self-concept-based model and theory of reasoned action to explain how contextual forces can transform into the triggers of inner motivations. Using the Structural Equation Modeling (SEM) method, data analysis showed that most of the research hypotheses were supported. The research findings show that the firm should (1) make the employees regard knowledge sharing as an enjoyment; (2) enforce their sense of belonging ; (3) induce employees' focus on long term return rather than shore term wins; (4) leverage centrality and promote individual reputations may also be helpful.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"37 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":"133279267","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.2010.5473245
Shuhua Peng, C. Hao, Denghua Li
Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.
{"title":"Fuzzy Immune Adaptive Smith-PID Control for Water Quality Adjusting System of Thermal Power Plant","authors":"Shuhua Peng, C. Hao, Denghua Li","doi":"10.1109/IWISA.2010.5473245","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473245","url":null,"abstract":"Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"31 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":"134044824","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.2010.5473251
Wen Chen, Jinming Yu, Feng Pan
This paper proposes an optimal CAC scheme in heterogeneous wireless networks called the GSMDP-based CAC (GCAC). Considering the limitations of the traditional Markov decision process for optimal CAC policy, we characterize the CAC problem through a GSMDP formulation. The performance is evaluated via simulation, and the results are compared with conventioinal GC scheme and an optimal CAC schme based on SMDP.
{"title":"An Optimal CAC Scheme Based on GSMDP Model in Heterogeneous Wireless Networks","authors":"Wen Chen, Jinming Yu, Feng Pan","doi":"10.1109/IWISA.2010.5473251","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473251","url":null,"abstract":"This paper proposes an optimal CAC scheme in heterogeneous wireless networks called the GSMDP-based CAC (GCAC). Considering the limitations of the traditional Markov decision process for optimal CAC policy, we characterize the CAC problem through a GSMDP formulation. The performance is evaluated via simulation, and the results are compared with conventioinal GC scheme and an optimal CAC schme based on SMDP.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"37 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":"130305376","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.2010.5473401
Li Yu, Jia-Quan Wang
Particle swarm optimization algorithm has been widely used because of its advantages such as simple principle, easy to programming, suitable for parallel computing and others. Calculation example shows that particle swarm optimization can be well used to solve optimal allocation of water resources, availability and better than the dynamic programming algorithm accuracy.
{"title":"Analysis of Water Resources Planning Based on Particle Swarm Optimization Algorithm","authors":"Li Yu, Jia-Quan Wang","doi":"10.1109/IWISA.2010.5473401","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473401","url":null,"abstract":"Particle swarm optimization algorithm has been widely used because of its advantages such as simple principle, easy to programming, suitable for parallel computing and others. Calculation example shows that particle swarm optimization can be well used to solve optimal allocation of water resources, availability and better than the dynamic programming algorithm accuracy.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"10 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":"125474197","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.2010.5473396
Li Zhang, G. Zheng
Following the constant development of the computer technology and network technology, Virtual Reality Technology has been widely used in the Network Virtual Show and other aspects. This design uses VRML and 3DSMAX as a development platform and uses a residential district as a virtual prototype to achieve Internal Scene Virtual Tour within a residential building in a certain residential area. According to the characteristics of the Network Virtual Reality, this paper mainly introduces the building of landscape model and the approach of the scene roaming realization. Using 3DSMAX's three-dimensional modeling and output function, the constructed three-dimensional scene is outputted as VRML file format. After that, the translated three-dimensional scene is imported into VRMLPAD for programming and debugging, and then inserting the point of view, program optimization and so on. Finally, this paper designs and implements the residential building's internal scene Virtual Tour. Virtual reality scene not only can help browser to understand the overall situation within the building from everywhere, but also can achieve the dynamic interactions with the user. It presents as three-dimensional model in front of the users and generates an immersive feeling for the browser. Therefore, the virtual tour program has good external display role and practical value.
{"title":"A Roaming System of the Residential Building's Virtual Internal Scene Based on VRML","authors":"Li Zhang, G. Zheng","doi":"10.1109/IWISA.2010.5473396","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473396","url":null,"abstract":"Following the constant development of the computer technology and network technology, Virtual Reality Technology has been widely used in the Network Virtual Show and other aspects. This design uses VRML and 3DSMAX as a development platform and uses a residential district as a virtual prototype to achieve Internal Scene Virtual Tour within a residential building in a certain residential area. According to the characteristics of the Network Virtual Reality, this paper mainly introduces the building of landscape model and the approach of the scene roaming realization. Using 3DSMAX's three-dimensional modeling and output function, the constructed three-dimensional scene is outputted as VRML file format. After that, the translated three-dimensional scene is imported into VRMLPAD for programming and debugging, and then inserting the point of view, program optimization and so on. Finally, this paper designs and implements the residential building's internal scene Virtual Tour. Virtual reality scene not only can help browser to understand the overall situation within the building from everywhere, but also can achieve the dynamic interactions with the user. It presents as three-dimensional model in front of the users and generates an immersive feeling for the browser. Therefore, the virtual tour program has good external display role and practical value.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"1990 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":"125504796","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.2010.5473339
X. Ruan, Jing Chen
A method based on cerebellar model with feedback-error-learning was proposed to control a two-wheeled self-balancing robot. The forward controller which is an on-line neural network adaptive controller is corresponding with cerebellar and expresses the function of cerebellum in balancing control problem. The robot is a kind of MIMO system, so the cerebellar cortex part has two nerve cell output. From the simulation, we can see that the robot can be balanced in fixed position well by this method, and can improve the feedback control to some extent. It is a kind of bionic control method which imitates the cerebellum part of brain.
{"title":"On-line NNAC for Two-Wheeled Self-Balancing Robot Based on Feedback-Error-Learning","authors":"X. Ruan, Jing Chen","doi":"10.1109/IWISA.2010.5473339","DOIUrl":"https://doi.org/10.1109/IWISA.2010.5473339","url":null,"abstract":"A method based on cerebellar model with feedback-error-learning was proposed to control a two-wheeled self-balancing robot. The forward controller which is an on-line neural network adaptive controller is corresponding with cerebellar and expresses the function of cerebellum in balancing control problem. The robot is a kind of MIMO system, so the cerebellar cortex part has two nerve cell output. From the simulation, we can see that the robot can be balanced in fixed position well by this method, and can improve the feedback control to some extent. It is a kind of bionic control method which imitates the cerebellum part of brain.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"121 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":"131732389","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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