Pub Date : 2013-12-17DOI: 10.3724/SP.J.1087.2013.03499
Guangyou Tu, Bohr He
{"title":"Design of pseudorandom-number generator based on spatiotemporal chaos: Design of pseudorandom-number generator based on spatiotemporal chaos","authors":"Guangyou Tu, Bohr He","doi":"10.3724/SP.J.1087.2013.03499","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03499","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3499-3502"},"PeriodicalIF":0.0,"publicationDate":"2013-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69949301","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}
{"title":"Application of geometric moving average martingale algorithm in anomaly analysis before earthquake based on sliding window: Application of geometric moving average martingale algorithm in anomaly analysis before earthquake based on sliding window","authors":"Liping Chen, Xiangzeng Kong, Zhi Zheng, X. Lin, Xiaoshan Zhan","doi":"10.3724/SP.J.1087.2013.03608","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03608","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3608-3610"},"PeriodicalIF":0.0,"publicationDate":"2013-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69949366","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 : 2013-12-17DOI: 10.3724/SP.J.1087.2013.03494
Hui-xian Huang, Fan Guo, Shufang Xu
{"title":"Polymorphic worms signature extraction based on improved ant colony algorithm: Polymorphic worms signature extraction based on improved ant colony algorithm","authors":"Hui-xian Huang, Fan Guo, Shufang Xu","doi":"10.3724/SP.J.1087.2013.03494","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03494","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3494-3498"},"PeriodicalIF":0.0,"publicationDate":"2013-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69949271","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 : 2013-12-17DOI: 10.3724/SP.J.1087.2013.03563
Ling Huang, Xueming Li
In view of the existence of a lot of spam comments in microblog,a new method based on AdaBoost was proposed to identify spam comments. This method firstly extracted feature vectors which consisted of eight feature values to represent the comments,then trained several weak classifiers which were better than random prediction on these features via AdaBoost algorithm,and finally combined these weighted weak classifiers to build a strong classifier with a high precision. The experimental results on comment data sets extracted from the popular Sina microblogs indicate that the selected eight features are effective for the method,and it has a high recognition rate in the identification of spam comments in microblog.
{"title":"Identification method of spam comments in microblog based on AdaBoost","authors":"Ling Huang, Xueming Li","doi":"10.3724/SP.J.1087.2013.03563","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03563","url":null,"abstract":"In view of the existence of a lot of spam comments in microblog,a new method based on AdaBoost was proposed to identify spam comments. This method firstly extracted feature vectors which consisted of eight feature values to represent the comments,then trained several weak classifiers which were better than random prediction on these features via AdaBoost algorithm,and finally combined these weighted weak classifiers to build a strong classifier with a high precision. The experimental results on comment data sets extracted from the popular Sina microblogs indicate that the selected eight features are effective for the method,and it has a high recognition rate in the identification of spam comments in microblog.","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3563-3566"},"PeriodicalIF":0.0,"publicationDate":"2013-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69949496","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 : 2013-12-17DOI: 10.3724/SP.J.1087.2013.03571
Lin Jinhui, C.-Z. Zhong, Xu Dalin
Concerning the problem that Artificial Bee Colony(ABC) is good at exploring but lack of exploitation,two new solution search strategies named PSO-DE-PABC and PSO-DE-GABC were proposed based on Particle Swarm Optimization(PSO) and Differential Evolution(DE). PSO-DE-PABC generated new candidate position around the random particle to improve divergence. PSO-DE-GABC generated new candidate position around the global best solution to accelerate the convergence,and differential vectors were also used to increase the divergence. Besides,Dimension Factor(DF) was introduced to control the search rate of the algorithms. A new scout strategy considering current swarm state was used to replace the original random scout strategy to enhance the local search ability. Comparison with basic ABC,GABC(Gbestguided ABC) and ABC / best algorithm was given on 10 groups of standard benchmark function. The results show that PSO-DEGABC and PSO-DE-PABC have better convergence rate and accuracy.
{"title":"Artificial bee colony algorithm inspired by particle swarm optimization and differential evolution","authors":"Lin Jinhui, C.-Z. Zhong, Xu Dalin","doi":"10.3724/SP.J.1087.2013.03571","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03571","url":null,"abstract":"Concerning the problem that Artificial Bee Colony(ABC) is good at exploring but lack of exploitation,two new solution search strategies named PSO-DE-PABC and PSO-DE-GABC were proposed based on Particle Swarm Optimization(PSO) and Differential Evolution(DE). PSO-DE-PABC generated new candidate position around the random particle to improve divergence. PSO-DE-GABC generated new candidate position around the global best solution to accelerate the convergence,and differential vectors were also used to increase the divergence. Besides,Dimension Factor(DF) was introduced to control the search rate of the algorithms. A new scout strategy considering current swarm state was used to replace the original random scout strategy to enhance the local search ability. Comparison with basic ABC,GABC(Gbestguided ABC) and ABC / best algorithm was given on 10 groups of standard benchmark function. The results show that PSO-DEGABC and PSO-DE-PABC have better convergence rate and accuracy.","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3571-3575"},"PeriodicalIF":0.0,"publicationDate":"2013-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69949556","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 : 2013-12-17DOI: 10.3724/SP.J.1087.2013.03503
H. Yuan, Xiaoyuan Yang
{"title":"Construction of almost optimal resilient Boolean functions via concatenation: Construction of almost optimal resilient Boolean functions via concatenation","authors":"H. Yuan, Xiaoyuan Yang","doi":"10.3724/SP.J.1087.2013.03503","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.03503","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"3503-3505"},"PeriodicalIF":0.0,"publicationDate":"2013-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69948856","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 : 2013-12-03DOI: 10.3724/SP.J.1087.2013.02470
Jie Tang, Hong-Chen Huang
{"title":"Three dimensional localization algorithm for wireless sensor networks based on projection and grid scan: Three dimensional localization algorithm for wireless sensor networks based on projection and grid scan","authors":"Jie Tang, Hong-Chen Huang","doi":"10.3724/SP.J.1087.2013.02470","DOIUrl":"https://doi.org/10.3724/SP.J.1087.2013.02470","url":null,"abstract":"","PeriodicalId":61778,"journal":{"name":"计算机应用","volume":"33 1","pages":"2470-2473"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69941234","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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