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Third International Workshop on Advanced Computational Intelligence最新文献

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Adaptive synchronization of complex dynamical networks with coupling delays and multi-links 具有耦合延迟和多链路的复杂动态网络的自适应同步
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585137
Minghui Jiang, Shengle Fang, Xiaohong Wang
{"title":"Adaptive synchronization of complex dynamical networks with coupling delays and multi-links","authors":"Minghui Jiang, Shengle Fang, Xiaohong Wang","doi":"10.1109/IWACI.2010.5585137","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585137","url":null,"abstract":"The paper is mainly concerned with the issues of synchronization dynamics of complex dynamical networks with coupling delays and multi-links. A general model of complex networks with multi-links is formulated, which can well describe practical architectures of more realistic complex networks related to multi-links. Based on Lyapunov stability theory and adaptive control techniques, some simple controllers with updated feedback strength are introduced to make the network locally and globally synchronized. Furthermore, the effectiveness of theoretical results are verified by numerical simulations.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133813444","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}
引用次数: 2
Impulsive control and synchronization of the hyperchaotic lu system with perturbations 具有扰动的超混沌lu系统的脉冲控制与同步
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585198
Lilan Tu
{"title":"Impulsive control and synchronization of the hyperchaotic lu system with perturbations","authors":"Lilan Tu","doi":"10.1109/IWACI.2010.5585198","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585198","url":null,"abstract":"This Letter derives some sufficient conditions for the control and synchronization of the hyperchaotic Lu system with perturbations via impulsive method. Some simple and easily verified criteria are established with equivalent impulsive intervals. All the theoretical results are verified by numerical simulations to demonstrate the effectiveness of the proposed control and synchronization schemes.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"80 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116358787","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}
引用次数: 2
Information system attribute reduction 信息系统属性约简
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585109
ShaoBai Chen, Mengfei Cao, Xiaodan Chen
{"title":"Information system attribute reduction","authors":"ShaoBai Chen, Mengfei Cao, Xiaodan Chen","doi":"10.1109/IWACI.2010.5585109","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585109","url":null,"abstract":"This paper describes the information systems as a family of equivalence relations or functions. It brings forward the notion of separation polynomial, which is an expression found by the separators (complement of the equivalence relations) via finite union operations and intersection operations. This paper adopts the minimal element method, simplified the conversion from separation disjunctive normal form to separation conjunctive normal form, which has reduced time consuming and space consuming of attribute reduction operation of information systems. Corresponding algorithm steps and an example are given at the end of this paper.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116907653","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}
引用次数: 1
An improved fuzzy k-means clustering with k-center initialization 基于k中心初始化的改进模糊k均值聚类
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585234
Taoying Li, Yan Chen, X. Mu, Mingyuan Yang
{"title":"An improved fuzzy k-means clustering with k-center initialization","authors":"Taoying Li, Yan Chen, X. Mu, Mingyuan Yang","doi":"10.1109/IWACI.2010.5585234","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585234","url":null,"abstract":"Initialization of fuzzy k-means algorithm decreases the convergent rate of clustering and leads to plenty of calculation. Thus, we propose an improved fuzzy k-means clustering based on k-center algorithm and binary tree in this paper, which firstly reduces redundant attributes while too many irrespective attributes affect the efficiency of clustering. Secondly, we remove the differences of units of dimensions, and then adopt k-center clustering to initialize k means of clusters, which means that we choose first mean randomly and others obtained according to distance subsequently. The binary tree is composed of k means in order to find its closest mean easily. Finally, the proposed algorithm is applied on Iris dataset, Pima-Indians-Diabetes dataset and Segmentation dataset, and results show that the proposed algorithm has higher efficiency and greater precision, and reduces the amount of calculation.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390302","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}
引用次数: 8
Discriminant Support Vector Data Description 判别支持向量数据描述
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585155
Zhe Wang, Daqi Gao
{"title":"Discriminant Support Vector Data Description","authors":"Zhe Wang, Daqi Gao","doi":"10.1109/IWACI.2010.5585155","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585155","url":null,"abstract":"Support Vector Data Description (SVDD) was designed to construct a minimum hypersphere so as to enclose all the data of the target class in the one-class classification case. In this paper, we propose a novel Discriminant Support Vector Data Description (DSVDD). The proposed DSVDD adopts the relevant metric learning instead of the original Euclidean distance metric learning in SVDD, where the relevant metric learning can consider the relationship between data. Here through incorporating both the positive and negative equivalence information, the presented DSVDD assigns large weights to the relevant features and tightens the similar data. More importantly, we introduce the discriminant knowledge prior into the proposed algorithm due to considering the negative equivalence information. The experiments show that the proposed DSVDD can bring more accurate classification performance than the conventional SVDD for all the tested data.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127246601","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}
引用次数: 1
A hybrid sensor network in the application design of smart home 混合传感器网络在智能家居中的应用设计
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585196
Tao Hu, D. Zhang, Shuang-dong Zhu
{"title":"A hybrid sensor network in the application design of smart home","authors":"Tao Hu, D. Zhang, Shuang-dong Zhu","doi":"10.1109/IWACI.2010.5585196","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585196","url":null,"abstract":"Smart home is one of the cutting-edge technologies in today's international intelligent building field. The smart home system has been used to adopt complex integrated wiring technology to achieve information interaction. There are several disadvantages identified with this method, for example, it needs to design in advance, layout techniques is difficult, wiring is cumbersome and so on. We propose a hybrid network programs, which combines ZigBee-based wireless sensor networks with power line carrier network. The system not only avoids cabling but also greatly enhances the system's scalability and robustness.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130060474","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}
引用次数: 6
TBNR: the ThinkIT Broadcast News speech Recognition system TBNR: ThinkIT广播新闻语音识别系统
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585176
Yanqing Sun, Jie Gao, Yu Zhou, Fuping Pan, Qingwei Zhao, Yonghong Yan
{"title":"TBNR: the ThinkIT Broadcast News speech Recognition system","authors":"Yanqing Sun, Jie Gao, Yu Zhou, Fuping Pan, Qingwei Zhao, Yonghong Yan","doi":"10.1109/IWACI.2010.5585176","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585176","url":null,"abstract":"This paper describes the TBNR system, which features at many state-of-the-art technologies of speech recognition, covering the decoder, acoustic modeling, speech recognition features, and etc. By integrating these technologies, several optimizations have been performed to utilize multi-processors resources. Along with models in several typical languages, these systems could be used at once for several applications. API functions are designed in a way that the users not familiar with speech recognition could finish development writing only several lines of code to finish a complete task of speech recognition.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126972613","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}
引用次数: 0
Self-adaptive evolutionary network coding algorithm: A constraint handling approach 自适应进化网络编码算法:一种约束处理方法
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585171
C. Ahn, Minkyu Kim
{"title":"Self-adaptive evolutionary network coding algorithm: A constraint handling approach","authors":"C. Ahn, Minkyu Kim","doi":"10.1109/IWACI.2010.5585171","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585171","url":null,"abstract":"This paper presents a self-adaptive evolutionary network coding algorithm (SA-ENCA) that minimizes the resources of network coding while achieving the target throughput of multicast. The idea is to adaptively engage infeasible solutions as well in searching for better solutions. This is achieved by assigning fitness to the infeasible solutions by balancing corresponding objective function values against constraint violations. Dealing with the constrained network coding problems in an unconstrained manner, SA-ENCA does not suffer from the drawbacks of existing approaches. In other words, it is able to effectively cope with selection noise and automatically discover a feasible seed in the course of evolution. Empirical study has adduced grounds for the effectiveness of the proposed approach.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131649789","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}
引用次数: 2
Chaos control for the Buck-Boost converter under current-mode control 电流模式控制下Buck-Boost变换器的混沌控制
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585159
Lihong He, Meimei Jia, Guangyan Sun
{"title":"Chaos control for the Buck-Boost converter under current-mode control","authors":"Lihong He, Meimei Jia, Guangyan Sun","doi":"10.1109/IWACI.2010.5585159","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585159","url":null,"abstract":"Based on chaotic phenomena of the Buck-Boost converter under current-mode control, according to the reference current Iref which works as a bifurcation parameter, the poincare section diagram, the switch logic diagram and the bifurcation map are studied by applying the discrete map; moreover,by employing a nonlinear feedback controller which is a piecewise-quadratic function in the form of x|x| in the chaotic Buck-Boost converter, chaos control of the Buck-Boost converter is achieved. The numerical simulation shows that this method is suitable for the stability control of diversified periodic orbits by adjusting the feedback gain in the nonlinear feedback controller.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123890423","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}
引用次数: 7
Estimation of component concentrations of sodium aluminate solution via PLS and Hammerstein recurrent neural networks 用PLS和Hammerstein递归神经网络估计铝酸钠溶液的成分浓度
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585154
Wei Wang, Lijie Zhao, T. Chai, Wen Yu
{"title":"Estimation of component concentrations of sodium aluminate solution via PLS and Hammerstein recurrent neural networks","authors":"Wei Wang, Lijie Zhao, T. Chai, Wen Yu","doi":"10.1109/IWACI.2010.5585154","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585154","url":null,"abstract":"In this paper, a new on-line soft sensing method is proposed for component concentrations of sodium aluminate solution. With this sensing strategy, real-time control and optimization can be realized in aluminate production plants. Several advance techniques are used, such as PLS (Partial Least Squares), Hammerstein model, recurrent neural networks and least square algorithm. Industrial experiment results show that the proposed soft sensing algorithm is effective.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"63 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113988301","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}
引用次数: 0
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