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Third International Conference on Natural Computation (ICNC 2007)最新文献

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A New Economics Architecture for Manufacturing Grid 制造网格的新经济体系结构
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.93
Yong-Li Zhou, Ying-Wu Chen
{"title":"A New Economics Architecture for Manufacturing Grid","authors":"Yong-Li Zhou, Ying-Wu Chen","doi":"10.1109/ICNC.2007.93","DOIUrl":"https://doi.org/10.1109/ICNC.2007.93","url":null,"abstract":"This paper has a discussion and research on building a new economics model for manufacturing grid (MG) based on beneficial drive. It firstly introduces the economics roles into manufacturing gird to express the economic attributes of the resources of MG. It also analyses the relationship between different roles. And paper focuses on building a new economics architecture supporting multi economics models. It adopts the MGeQoS to indicate how to deal with the selection of economics modes, and does the WSDI expression to describe MGeQoS attributes. And paper puts forward a matching service negotiation mechanism of economics model to realize the selection of economics model and do the management and scheduling of resource via the user MGeQoS. Based on these techniques, we present the conception model of MG economics architecture, and finally we build an effective and complete MG economics architecture which can support multi economics models.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116369573","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 Study of Neighborhood Competing Models Based Verification Method 基于邻域竞争模型的验证方法研究
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.148
Chengli Sun, Gang Liu, Jun Guo
{"title":"A Study of Neighborhood Competing Models Based Verification Method","authors":"Chengli Sun, Gang Liu, Jun Guo","doi":"10.1109/ICNC.2007.148","DOIUrl":"https://doi.org/10.1109/ICNC.2007.148","url":null,"abstract":"Utterance verification (UV) is an important portion in an intelligent speech recognition system, which role is determine if the input speech actual includes the word sound(s). In this study, we address the UV problem in the model neighborhood information viewpoint. We present a new robust verification method which can enhance the capability of UV in noise or other mismatch conditions by using the neighboring competing models information. Comparing with tradition likelihood ratio test (LRT) and online garbage model methods, experimental results show, the performance of proposed method is comparable to the LRT method in clean speech conditions, but explicitly outperforms other verification approaches in the noise speech conditions.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116370295","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
Contour Detection Based on Self-Organizing Feature Clustering 基于自组织特征聚类的轮廓检测
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.316
Yu Ma, Xiaodong Gu, Yuanyuan Wang
{"title":"Contour Detection Based on Self-Organizing Feature Clustering","authors":"Yu Ma, Xiaodong Gu, Yuanyuan Wang","doi":"10.1109/ICNC.2007.316","DOIUrl":"https://doi.org/10.1109/ICNC.2007.316","url":null,"abstract":"The real vision system has a well-developed ability to detect multiple contours and recognize various objects in images. Previous simulation models to perform this process often employ image segmentation or contour integration algorithms. In this paper a new model is proposed to separate individual object contours from the background by the feature clustering. The model is inspired by the contrast mechanism and the self-organizing characteristic of the vision system. It can group edge elements with similar local features together automatically. The self-organizing map (SOM) is used in the model to classify the edge elements in the image. Experimental results show that the object contours can be separated effectively by this model. The model can be used to supply useful information to higher-level visual mechanism for better object recognition.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116486856","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
A Comparison Study of Credit Scoring Models 信用评分模型的比较研究
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.15
Defu Zhang, Hongyi Huang, Qingshan Chen, Yi Jiang
{"title":"A Comparison Study of Credit Scoring Models","authors":"Defu Zhang, Hongyi Huang, Qingshan Chen, Yi Jiang","doi":"10.1109/ICNC.2007.15","DOIUrl":"https://doi.org/10.1109/ICNC.2007.15","url":null,"abstract":"In this paper we consider a credit scoring problem. We compare three powerful credit scoring models: genetic programming (GP), backpropagation neural networks (BP) and support vector machines (SVM) when applied to this problem, then we give a combined model. The results show that the combined model produces good classification results.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121502923","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: 31
Research on Float-Coded Genetic Algorithm Based on Wavelet Denoising Mutation 基于小波去噪突变的浮点编码遗传算法研究
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.623
Mingyi Cui, Yanli Shangguan
{"title":"Research on Float-Coded Genetic Algorithm Based on Wavelet Denoising Mutation","authors":"Mingyi Cui, Yanli Shangguan","doi":"10.1109/ICNC.2007.623","DOIUrl":"https://doi.org/10.1109/ICNC.2007.623","url":null,"abstract":"Coding is a difficult subject of research on genetic algorithm (GA). In many codes, float code (FC) is super to other codes in use. But, noise and its influence on GA performance were ignored by researches in genetic operation. Mutation played an important role of improving GA performance. Hence, float-coded genetic algorithm (FCGA) based on wavelet denoising mutation (FCGAWM) was proposed in this paper. Decomposing of FC noise was shown with wavelet in theory. FC denoising mutation was implemented in it. The experiment was made in it. The results of the research and the experiment indicated that the theory was credible and the method was feasible in it. FCGAWM is of active significance to extend application space of FCGA.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121666462","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: 9
The Self-Tuning Neural Speed Regulator Applied to DC Servo Motor 应用于直流伺服电机的自整定神经网络调速器
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.743
Y. Kang, M. Chu, Chuan-Wei Chang, Yi-Wei Chen, Min-Chou Chen
{"title":"The Self-Tuning Neural Speed Regulator Applied to DC Servo Motor","authors":"Y. Kang, M. Chu, Chuan-Wei Chang, Yi-Wei Chen, Min-Chou Chen","doi":"10.1109/ICNC.2007.743","DOIUrl":"https://doi.org/10.1109/ICNC.2007.743","url":null,"abstract":"This study utilizes the direct neural control (DNC) based on back propagation neural networks (BPN) with specialized learning architecture applied to regulate the speed of a DC servo motor. The proposed neural controller is treated as a speed regulator to keep the motor in constant speed without the specified reference model. A tangent hyperbolic function is used as the activation function, and the back propagation error is approximated by a linear combination of error and error's differential. The simulation and experiment results reveal that the proposed speed regulator keeps motor in constant speed with high convergent speed, and enhances the adaptability of the accurate speed control system.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121707239","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
Intelligent Forecast for Cucumber Fusarium Wilt Combining Case-based Reasoning With Self-organizing Maps 结合案例推理和自组织地图的黄瓜枯萎病智能预测
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.449
Zhengang Yang, F. Deng, Weizhang Liu
{"title":"Intelligent Forecast for Cucumber Fusarium Wilt Combining Case-based Reasoning With Self-organizing Maps","authors":"Zhengang Yang, F. Deng, Weizhang Liu","doi":"10.1109/ICNC.2007.449","DOIUrl":"https://doi.org/10.1109/ICNC.2007.449","url":null,"abstract":"Combining self-organizing maps (SOM) with case-based reasoning (CBR), a hybrid intelligent forecast method for CFW (cucumber fusarium wilt) is presented. Different from the traditional similar case retrieval, this method performs case classification with trained SOM network and then figures out a similar case set using a proposed case similarity metric. A classification accuracy of 97.22% was achieved by the integrated SOM network in the classification performance test. From CFW forecast experiments, the optimal interval of dissimilarity threshold R for this method is inferred. Comprehensive analysis shows that this hybrid forecast method can effectively provide reliable reasoning data for CFW forecast and assist decision-making of CFW prevention and treatment measures.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"7 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113967723","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 Web Collaborative Learning System Based on Multi-agent 基于多智能体的Web协同学习系统
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.155
Zhengyou Wang, Jianhua Ming
{"title":"A Web Collaborative Learning System Based on Multi-agent","authors":"Zhengyou Wang, Jianhua Ming","doi":"10.1109/ICNC.2007.155","DOIUrl":"https://doi.org/10.1109/ICNC.2007.155","url":null,"abstract":"On the basis of concept, characteristics and related work of collaborative learning, this paper proposes a practical and efficient way based on multi-agent technology. At first, the paper introduces a collaborative learning framework which supporting group learning and illustrated the whole learning process. Secondly, the paper presents some key issues to implementation of the virtual learning environment, such as intelligent grouping, intelligent question & answer system, knowledge management, evaluation of group-learning effectiveness. Learning practice verifies the validity of the system.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713709","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
A Geometric Initialization Algorithm for Blind Separation of Speech Signals 语音信号盲分离的几何初始化算法
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.38
Chao Wang, Yong Fang
{"title":"A Geometric Initialization Algorithm for Blind Separation of Speech Signals","authors":"Chao Wang, Yong Fang","doi":"10.1109/ICNC.2007.38","DOIUrl":"https://doi.org/10.1109/ICNC.2007.38","url":null,"abstract":"Iterative blind source separation algorithm is often equivalent to a forward neural network trained by the unsupervised learning. Training iteration of parameters should be initialized beforehand. In this paper, an initialization algorithm is proposed for the blind separation of mixed speech signals based on the geometric structure of speech signal space. After the mixed signals are whitened, the quadrants of coordinates are regarded as the local PC A subspaces of the obtained signals. The mixing matrix can be estimated by the first eigenvectors of these subspaces. Simulation results show that separation performance of the FASTICA algorithm is improved by the proposed initialization algorithm.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124386247","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 Web Services Composition With Well Structured 结构良好的Web服务组合
Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.156
Jiuyun Xu, Changbao Li, Youxiang Duan
{"title":"A Web Services Composition With Well Structured","authors":"Jiuyun Xu, Changbao Li, Youxiang Duan","doi":"10.1109/ICNC.2007.156","DOIUrl":"https://doi.org/10.1109/ICNC.2007.156","url":null,"abstract":"This paper proposes a Web services composition approach. Using this approach, the composition planner can deal with succession, conjunction and exclusion control structures. Moreover, the composition plan is dead lock free and can terminate normally (which is defined as well structured). In this paper, along with a declarative definition of basic concepts and description of candidate Web services, the composition approach gives an algorithm to generate the composition plan and an aggregation of control structures among the candidate Web services. Furthermore, the case study illustrates that the composition plan using proposed approach is dead lock free and can terminate normally.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124387401","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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