Pub Date : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03179
Zhi-Neng Zhu, Q. Ruan
{"title":"Mean Shift tracking for video moving objects in combination with scale invariant feature transform and Kalman filter: Mean Shift tracking for video moving objects in combination with scale invariant feature transform and Kalman filter","authors":"Zhi-Neng Zhu, Q. Ruan","doi":"10.3724/SP.J.1087.2013.03179","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03179","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3179-3182"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69945455","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03296
Lei Wang, Jindong Chen, Feng Pan
Concerning the identification of the accurate model parameters of biological fermentation process, a parameters estimation method for non-structural dynamical model of penicillin fermentation using the Gravitational Search Algorithm( GSA) was proposed. Based on the rule of fermentation mechanism, the appropriate state equations of non-structural dynamical model were chosen; and through virtue of the global searching ability of GSA, the parameters of state equation were estimated and the accurate fermentation model was obtained. The simulation results show that GSA accurately estimated model parameters in penicillin fermentation process, the accuracy of the obtained model can meet the requirements of state estimation and condition control in penicillin fermentation process. Therefore, GSA can be applied to model parameters estimation effectively.
{"title":"Applications of gravitational search algorithm in parameters estimation of penicillin fermentation process model","authors":"Lei Wang, Jindong Chen, Feng Pan","doi":"10.3724/SP.J.1087.2013.03296","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03296","url":null,"abstract":"Concerning the identification of the accurate model parameters of biological fermentation process, a parameters estimation method for non-structural dynamical model of penicillin fermentation using the Gravitational Search Algorithm( GSA) was proposed. Based on the rule of fermentation mechanism, the appropriate state equations of non-structural dynamical model were chosen; and through virtue of the global searching ability of GSA, the parameters of state equation were estimated and the accurate fermentation model was obtained. The simulation results show that GSA accurately estimated model parameters in penicillin fermentation process, the accuracy of the obtained model can meet the requirements of state estimation and condition control in penicillin fermentation process. Therefore, GSA can be applied to model parameters estimation effectively.","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3296-3299"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69947597","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03102
Changqing Yu, Zhurong Wang
{"title":"Producer pre-selection mechanism based on self-adaptive group search optimizer: Producer pre-selection mechanism based on self-adaptive group search optimizer","authors":"Changqing Yu, Zhurong Wang","doi":"10.3724/SP.J.1087.2013.03102","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03102","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3102-3106"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69944589","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03155
Bo Chen, Xihuang Zhang
When hybrid dynamic load balancing algorithm is applied to cloud computing, some problems will occur, such as that frequent exchange of sites information leads to low processing efficiency and algorithm is lack of fault-tolerant mechanism. Hence this paper proposed a load balancing algorithm based on multi-layer and fault- tolerant mechanism. The algorithm mixed the advantages of centralized and distributed methods. By organizing neighbor sites, the sites information exchange was controlled within a range of neighbor sites. When site scheduled tasks, it appended the load information of itself and its neighbors to the job transfer request. The method resolved network business and low efficiency of servers which was caused by broadcasting load information frequently. The algorithm achieved load balancing in cloud computing and minimum response time. The method introduced fault-tolerant mechanism to enhance the scalability of cloud system. The experimental results show that the load balancing strategy of cloud computing based on multi-layer and fault-tolerant mechanism is superior to traditional algorithms more than 20% in task distribution time and response time. Besides, it surpasses the traditional one in the stability of the algorithm.
{"title":"Load balancing strategy of cloud computing based on multi-layer and fault-tolerant mechanism","authors":"Bo Chen, Xihuang Zhang","doi":"10.3724/SP.J.1087.2013.03155","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03155","url":null,"abstract":"When hybrid dynamic load balancing algorithm is applied to cloud computing, some problems will occur, such as that frequent exchange of sites information leads to low processing efficiency and algorithm is lack of fault-tolerant mechanism. Hence this paper proposed a load balancing algorithm based on multi-layer and fault- tolerant mechanism. The algorithm mixed the advantages of centralized and distributed methods. By organizing neighbor sites, the sites information exchange was controlled within a range of neighbor sites. When site scheduled tasks, it appended the load information of itself and its neighbors to the job transfer request. The method resolved network business and low efficiency of servers which was caused by broadcasting load information frequently. The algorithm achieved load balancing in cloud computing and minimum response time. The method introduced fault-tolerant mechanism to enhance the scalability of cloud system. The experimental results show that the load balancing strategy of cloud computing based on multi-layer and fault-tolerant mechanism is superior to traditional algorithms more than 20% in task distribution time and response time. Besides, it surpasses the traditional one in the stability of the algorithm.","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3155-3159"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69945239","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03176
Changyuan Chen, Junwei Han, Xintao Hu, Gong Cheng, Lei Guo
{"title":"Image memorability model based on visual saliency entropy and Object Bank feature: Image memorability model based on visual saliency entropy and Object Bank feature","authors":"Changyuan Chen, Junwei Han, Xintao Hu, Gong Cheng, Lei Guo","doi":"10.3724/SP.J.1087.2013.03176","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03176","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3176-3178"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69945407","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03220
Dongyun Fan, Haisheng Li
{"title":"Simulation of ink diffusion on Xuan paper: Simulation of ink diffusion on Xuan paper","authors":"Dongyun Fan, Haisheng Li","doi":"10.3724/SP.J.1087.2013.03220","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03220","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3220-3223"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69946085","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03284
Tongyao Yang, Bin Wang, Chuan Li, Bi He, Xin Xiong
{"title":"Real-time monitoring and warning system of tunnel strain based on improved principal component analysis method: Real-time monitoring and warning system of tunnel strain based on improved principal component analysis method","authors":"Tongyao Yang, Bin Wang, Chuan Li, Bi He, Xin Xiong","doi":"10.3724/SP.J.1087.2013.03284","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03284","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3284-3287"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69947473","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 : 2013-11-26DOI: 10.3724/SP.J.1087.2013.03305
Xiao-hai Pan
{"title":"Tire preset value inflation or deflation control based on fuzzy and genetic approximation strategy: Tire preset value inflation or deflation control based on fuzzy and genetic approximation strategy","authors":"Xiao-hai Pan","doi":"10.3724/SP.J.1087.2013.03305","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03305","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3305-3308"},"PeriodicalIF":0.0,"publicationDate":"2013-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69947653","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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