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2010 IEEE International Conference on Intelligent Computing and Intelligent Systems最新文献

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The principle of emotion driven behavior selection mechanism 情绪驱动行为选择机制的原理
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658690
Guofeng Zhang, Jianhua Wang, Zushu Li
{"title":"The principle of emotion driven behavior selection mechanism","authors":"Guofeng Zhang, Jianhua Wang, Zushu Li","doi":"10.1109/ICICISYS.2010.5658690","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658690","url":null,"abstract":"Through thorough analyses of the emotion-related theories in psychology and microeconomics, the attributes of emotion are clarified whose essence is energy, function is driving behavior, sort reflects the sort of survival resources, and the emotional essence of motivation, (inner) drive and utility (subjective value) is discovered. According to the common law abided by these kinds of sense, and consulting Prospect Theory, emotion schema function is build up to obtain the principle of functional relationship between emotion and living resource. Based on these work, adopting optimistic selection principle, emotion-driven behavior selection mechanism is established. In order to validate the mechanism, emotion-driven competitive, cooperative behavior selection mechanism and fight behavior selection mechanism are constructed and simulations of them on artificial life platform Swarm are achieved. The simulation results confirm the proposed.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114225456","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
An automatic method of generating examples used in dynamic deformation of 3D personalized human body 一种用于三维个性化人体动态变形的实例自动生成方法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658697
Shi Xiaping, Ke Yanggui
{"title":"An automatic method of generating examples used in dynamic deformation of 3D personalized human body","authors":"Shi Xiaping, Ke Yanggui","doi":"10.1109/ICICISYS.2010.5658697","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658697","url":null,"abstract":"This paper presents a novel method used in dynamic deformation of 3D personalized human body based on the approach of deformations by example. The method can help to generate example series fast and automatically according to the deformation parameters set. Compared to other approaches of deformation by example, it costs low and is more efficient. Thus it provides a new implementation approach for the realization of 3D dynamic deformation of the human body and virtual try-on of digital clothing.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116356929","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
A computational model of emotion for 3D talking heads 三维说话头的情感计算模型
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658438
Zhijun Song, Zhongpan Qiu, Changle Zhou
{"title":"A computational model of emotion for 3D talking heads","authors":"Zhijun Song, Zhongpan Qiu, Changle Zhou","doi":"10.1109/ICICISYS.2010.5658438","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658438","url":null,"abstract":"Emotion is an essential element of human-computer interaction, which provides a sympathetic face and human voice for the communication between computers and users. For this purpose, we will describe a computational framework for emotions. Subsequently we will show how this framework can be integrated with an application such as an expressive MPEG-4 3D talking heads with speech synthesis.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114016657","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
A study on security evaluation for information systems based on grey clustering 基于灰色聚类的信息系统安全评价研究
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658352
Xiaohui Yang, Sheng Zhang, Fu Liu, J. Guo
{"title":"A study on security evaluation for information systems based on grey clustering","authors":"Xiaohui Yang, Sheng Zhang, Fu Liu, J. Guo","doi":"10.1109/ICICISYS.2010.5658352","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658352","url":null,"abstract":"Information systems are wildly used in various areas, they bring many benefits as well as some inevitable security issues. It is a complex task to evaluate the security states of information systems. In this paper, by combining with the theory of grey clustering analysis and whitenization weight function, a security evaluation method for information systems is proposed. We present an example of applying the method to assess the security states of information systems, and the results show that the method can evaluate the security states of information systems properly and effectively.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126254372","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 lightweight semantic extension framework for web services web服务的轻量级语义扩展框架
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658783
Lin Shi, Yuanwen Zhu, Hao Xue, Shoukun Xu, Ning Li, Zheng-hua Ma
{"title":"A lightweight semantic extension framework for web services","authors":"Lin Shi, Yuanwen Zhu, Hao Xue, Shoukun Xu, Ning Li, Zheng-hua Ma","doi":"10.1109/ICICISYS.2010.5658783","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658783","url":null,"abstract":"Nowadays, with the appearance of more and more web services, it has been one of the key points that how to find the target service quickly and precisely. Traditional methods of web service discovery are only based on the keyword matching, but it's very difficult to realize more detailed and intelligent services, and the results are hardly to meet the user's demands. According to the current OWL-S, WSMO and other frameworks, a new lightweight semantic extension framework for web services is proposed in this paper, which is founded on the syntax structure of XML and the 3-layer frame of OWL-S, which can be compatible with the current web service and UDDI. If there is a need for semantic and intelligent search, one could use this framework to extend the web services by connecting the domain ontology. At last, the paper also provides a similarity matching algorithm for the corresponding layer. By integrating the 3-layer's algorithms, the user can achieve the expecting factor, and then choose a proper web service according to the expecting factor.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126389601","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
Application of particle filter for angle measure 粒子滤波在角度测量中的应用
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658452
Jianjun Chen, Feng Guo-yu, Mengjun Huang, Fu Qiang
{"title":"Application of particle filter for angle measure","authors":"Jianjun Chen, Feng Guo-yu, Mengjun Huang, Fu Qiang","doi":"10.1109/ICICISYS.2010.5658452","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658452","url":null,"abstract":"In anti-ship terminal guidance radar tracking system, the target echo is always corrupted by the sea clutter. When sea clutter is large at high sea state, the signal -to-noise ratio (SNR) of the target echo is usually relatively low as a result of the effect of sea clutter. The precision of angle error extraction in radar tracking servo is low, while the fluctuating error of angle measure is large in low SNR region. The radar antenna has to adjust itself very frequently to keep tracking its target. While it leads that the radar can not always hold on tracking the target steadily. To improve the precision of angle error extraction and steady off-boresight angle measure of the target, a novel angle measure method based on particle filter is proposed, which achieves off-boresight angle estimation by approximating the posterior probability diversity with particle set, and the steps of algorithm are presented. Finally the simulation experiment confirms the valid of the proposed algorithm.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128075208","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: 4
A coalition structure generation algorithm based on partition cardinality structure 一种基于分区基数结构的联盟结构生成算法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658565
Hai-Yan Wu, Shan-li Hu
{"title":"A coalition structure generation algorithm based on partition cardinality structure","authors":"Hai-Yan Wu, Shan-li Hu","doi":"10.1109/ICICISYS.2010.5658565","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658565","url":null,"abstract":"Coalition formation is a key topic on multi-agent systems. As the number of coalition structures is large, it is not allowed to search the whole coalition structure tree exhaustively. So, a partial search which is guaranteed to be within a bound from optimum is interested. A large number of previous work has been done to find the optimal coalition structure in Characteristic Function Games (CFGs), where the value of a coalition was independent from co-existing coalitions in the system. However, usually it is not appropriate to the real situation because an agent's effectiveness may change from one coalition structure to another. Thus, much more general Partition Function Games (PFGs) have to be applied. In this context, we develop an algorithm based on partition cardinality structure, which consider the coalition value in PFGs. We use different strategies in two classes of PFGs, and improve the bound with further search.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121928605","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: 3
Automatic image annotation based on vocabulary prior probability 基于词汇先验概率的图像自动标注
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658263
Zongyu Lan, Shaozi Li, Donglin Cao, Xiao Ke
{"title":"Automatic image annotation based on vocabulary prior probability","authors":"Zongyu Lan, Shaozi Li, Donglin Cao, Xiao Ke","doi":"10.1109/ICICISYS.2010.5658263","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658263","url":null,"abstract":"Automatic image annotation is an important and challenging task in computer vision. The existing models only use low-levels features of images to do the approximate calculation, without considering the influence of semantic information. This paper proposes a new automatic image annotation algorithm based on the vocabulary prior probability. It can solve the semantic gap to a certain extent. The algorithm is divided into two stages, first according to the existing generative model calculated the initial annotation word, and then calculated image similarity with considering the annotated words to improve the result of the annotation. The experiments over Corel5k images have shown the proposed method can effectively improve the rate of the annotation's accuracy and recall.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122268567","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
Shape recognition by fuzzy distance measure 基于模糊距离测度的形状识别
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658489
Wenjing Qi, Xue-qing Li, Lei Tang, Zunyi Xu
{"title":"Shape recognition by fuzzy distance measure","authors":"Wenjing Qi, Xue-qing Li, Lei Tang, Zunyi Xu","doi":"10.1109/ICICISYS.2010.5658489","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658489","url":null,"abstract":"A novel shape recognition method based on fuzzy distance measure is proposed. A fuzzy set is defined on the feature vector space according to each training class, so the distance between an unknown shape and the class centroid is measured by a fuzzy distance based on the membership function. Another significant contribution of this paper is the method of constructing membership function using the statistical features of training class. Our shape recognition method is a minimum distance method in nature, but compared with the minimum distance method using common distance measure, fuzzy distance measure improves the accuracy rate of recognition greatly. The accuracy improved either compared with KNN classifier.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122273489","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 algorithm for reducing the swap of targets during the marine radar tracking 舰船雷达跟踪中减少目标交换的一种算法
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI: 10.1109/ICICISYS.2010.5658316
Ying Shijun, Xia Peng, Lu Ying, Chen Jinbiao
{"title":"An algorithm for reducing the swap of targets during the marine radar tracking","authors":"Ying Shijun, Xia Peng, Lu Ying, Chen Jinbiao","doi":"10.1109/ICICISYS.2010.5658316","DOIUrl":"https://doi.org/10.1109/ICICISYS.2010.5658316","url":null,"abstract":"Radar is an important navigational and anti-collision system to ensure the safety of navigation, but it has some limitations in practical application. As there often appear two or more goals in the radar tracking window, if these objectives are in close proximity, tracking error will be caused, and therefore the targets will swap. As AIS can provide steady and continuous navigation data from GPS or DGPS in higher precision, this paper takes advantage of AIS information and puts forward an algorithm to reduce the target swaps in radar tracking. Besides, according to different circumstances in the existence of AIS information in radar tracking window, this article specifically explains the usages of the algorithm in various situations. In the simulation, the proposed algorithm was experimented on a navigational radar simulator and a pc based platform programmed with VC++. Experimental results show that the proposed algorithm to reduce the target swaps is feasible and effective.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121733606","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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