{"title":"Optimization Algorithm of Evolutionary Design of Circuits Based on Genetic Algorithm","authors":"Xuejun Song, Yanli Cui, Aiting Li","doi":"10.1109/ISCID.2012.91","DOIUrl":"https://doi.org/10.1109/ISCID.2012.91","url":null,"abstract":"For the convergence speed and scale bottlenecks of evolutionary design of circuits, the paper explores a new evolutionary method on the basis of genetic algorithm. Several optimization methods including fitness sharing, exponential weighting, double selection population, \"Queen bee\" mating, module crossover and optimal solution set are proposed to improve genetic algorithm. the new algorithm improved fitness evaluation method and genetic strategies. the experiment shows that the new evolutionary algorithm accelerates evolution convergence greatly, improves the adaptability effectively and expands the scale of evolved circuit obviously.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129369978","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":"Energy-Efficient Ring-Based Multi-hop Clustering Routing for WSNs","authors":"Zhi Ren, Yongchao Chen, YuKun Yao, Qingyang Li","doi":"10.1109/ISCID.2012.12","DOIUrl":"https://doi.org/10.1109/ISCID.2012.12","url":null,"abstract":"As a typical multi-hop clustering routing algorithm for wireless sensor networks (WSNs), RBMC (ring-based multi-hop clustering routing algorithm) needs to select cluster heads in every round and the nodes with little energy still have chance to become cluster heads. This leads to extra and uneven consumption of nodes' energy. to address the problem, we propose in this paper an energy-efficient ring-based multi-hop clustering routing algorithm based on RBMC. Our proposed algorithm considers remaining energy when selecting cluster heads and uses multi-round clustering instead of clustering in every round. Simulation results show that our algorithm performs better in reducing the energy consumption of nodes and effectively improves the lifetime of WSNs as compared to RBMC.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129376454","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":"A Path Planning Method for Assistant Parallel Car-Parking","authors":"Shuqiang Liu, X. An, Er-Ke Shang, Hangen He","doi":"10.1109/ISCID.2012.168","DOIUrl":"https://doi.org/10.1109/ISCID.2012.168","url":null,"abstract":"Path planning is one of the key technologies in an intelligent car-parking system. This paper presents a path planning method for parallel parking mode. a scheme of a two-arc parking path is proposed, with the start position given but the goal to be yielded. the parking process is formulated as a constrained nonlinear optimization problem, where two objective functions are studied. and we gained the optimized results by MATLAB Optimization Toolbox.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633659","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":"Abort Trajectory Optimization Using an hp-Adaptive Pseudospectral Method","authors":"Wenhu Wang, Xinguo Li, Chenxi Wang","doi":"10.1109/ISCID.2012.92","DOIUrl":"https://doi.org/10.1109/ISCID.2012.92","url":null,"abstract":"Mission abort scenarios of RLV due to an engine failure which leads to engine cut-off are considered. the abort trajectory optimization problem is treated as a maximum range problem for abort capability analysis. an hp-adaptive pseudospectral method be employed to solve this problem because of it's accuracy and computational efficiency. Fuel jettisoning rate is treated as a optimization parameter. Numerical results show the optimal fuel jettison rate is it's maximum value and the maximum longitudinal range achievable with fuel jettisoning is increased by 7.62% when compared to the case without fuel jettisoning.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128651775","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":"Face Recognition Based on Improved Tensor Neighborhood Preserving Embedding","authors":"Feng Li","doi":"10.1109/ISCID.2012.239","DOIUrl":"https://doi.org/10.1109/ISCID.2012.239","url":null,"abstract":"Tensor Neighborhood Preserving Embedding(TNPPE) is a efficient subspace dimensionality reduction model for face recognition. However, the singularity problems is still remained. in the paper, we propose an Improved Tensor Neighborhood Preserving Embedding (ITNPE) algorithm for face recognition. We evaluate the algorithm by applying it to YaleB and AR databases. the experiments demonstrate excellent performance of our algorithm for the dimensionality reduction in face recognition.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116131281","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":"Parallel Algorithm for Moving Foreground Detection in Dynamic Background","authors":"Yi Yang, Wenjie Chen","doi":"10.1109/ISCID.2012.270","DOIUrl":"https://doi.org/10.1109/ISCID.2012.270","url":null,"abstract":"Foreground detection in dynamic background has become a hot topic in video surveillance in recent years. In this paper we propose a new foreground detection approach based on GPU in dynamic background. With the proposed method, SIFT features are first extracted from two adjacent frames in video sequences, which can be utilized to compute the parameters of affine transform model and to solve global motion compensation. Then improving background subtraction approach with dynamic background updating module is adopted to detect foreground objects. GPU method is used to improve application performance. Combined with CUDA, three mainly algorithm modules, which are so called Global Motion Compensation Module, Updating Background Module and Foreground Detection Module, are improved. In this paper, GPU and CPU are used as a combined computing unit, which makes good use of strong parallel computing ability. The effectiveness of the method has been proved. Finally, the contrasting experiments on processing time show that the proposed algorithm based on GPU is better in speed.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116795533","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":"Detect Adverse Drug Reactions for Drug Atorvastatin","authors":"Yihui Liu, U. Aickelin","doi":"10.1109/ISCID.2012.61","DOIUrl":"https://doi.org/10.1109/ISCID.2012.61","url":null,"abstract":"Adverse drug reaction (ADR) is widely concerned for public health issue. in this study we propose an original approach to detect the ADRs using feature matrix and feature selection. the experiments are carried out on the drug Atorvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. the detected ADRs are based on the computerized method, further investigation is needed.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117116303","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":"The Contrast and Inspiration of Animal Behavior and Traffic Behavior","authors":"Meng Chen, Fasheng Liu, Cheng-bao Wang","doi":"10.1109/ISCID.2012.122","DOIUrl":"https://doi.org/10.1109/ISCID.2012.122","url":null,"abstract":"This paper analyses the common characteristics and relevance of animal behavior and traffic behavior. It describes the feedback mechanism of animal behavior and the information process of traffic behavior from the point of view on automatic control, and then points out that the two behaviors are both controlled by themselves and environment. at last, by analyzing bats' echolocation system, this paper puts forward a method of automatic auxiliary braking to be used for anti-collision system and traffic flow control system.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117274281","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}
Xiaochun Wang, Lin Zhu, Dianhua Yang, Haiguang Fang
{"title":"Design and Implementation on Pen-Based E-Form Development Tool for End-User","authors":"Xiaochun Wang, Lin Zhu, Dianhua Yang, Haiguang Fang","doi":"10.1109/ISCID.2012.190","DOIUrl":"https://doi.org/10.1109/ISCID.2012.190","url":null,"abstract":"Pen-based e-form is a style of office software in the era of Post-WIMP interface. It is complicate and difficult to utilize the existing development tool to implement pen-based user interface, so that pen-based e-form only can be designed and implemented by the professional developers, which make it is difficult for the pen-based e-form software to adapt to the changing user requirements. Given the end-user the ability for developing pen-based e-form independently is a good way to solve this problem. Based on the natural characteristics of the e-form and business rule, and aiming at help end user develop pen-based e-form, the paper systemically researches the design and implementation of the pen-based e-form development tool, and describes the major components of the tool. Finally, we introduce the implementation of the end-user development tools, and offer an example about pen-based e-form software development.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117275056","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":"The Research on Firefighting and Rescue Cooperation Algorithm Based on Multi-agent","authors":"Liu Jing","doi":"10.1109/ISCID.2012.31","DOIUrl":"https://doi.org/10.1109/ISCID.2012.31","url":null,"abstract":"Commanding control is the most essential and the most fundamental question in cooperative firefighting. Based on multi-agent system in the field of Distributed Artificial Intelligence (DAI), it is described the architecture and formalized model of firefighting cooperative commanding control system that helps to make cooperative operation in fireground effectively and orderly. In this paper a study is conducted on some formalized modeling problems, such as internal action of agent, trigger event, and the BDI interpreter combined with fighting effectiveness etc. according to the feature of the firefighting cooperative commanding of multiunit or multi-company.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410325","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}