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2008 3rd International Conference on Innovative Computing Information and Control最新文献

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The Development of Monitoring Software for Local Area Network 局域网监控软件的开发
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.549
Y. Qin
{"title":"The Development of Monitoring Software for Local Area Network","authors":"Y. Qin","doi":"10.1109/ICICIC.2008.549","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.549","url":null,"abstract":"In this paper, a monitoring software for LAN (local area network) was developed by using the Socket components of Delphi, Winsock and TCP/IP (Transfer Control Protocol /Internet Protocol) techniques. It realizes the monitoring and controlling the client computers through a host computer in LAN. Functions such as obtaining the information of the client computers, alerting the illegal operations of the operators, and controlling the client computers are implemented.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121893960","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
New Global Asymptotic Stability for Neural Networks with Time-Varying Discrete and Distributed Delays 时变离散和分布时滞神经网络的新的全局渐近稳定性
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.385
Yonggang Chen, Yunrui Guo, Liang Wu
{"title":"New Global Asymptotic Stability for Neural Networks with Time-Varying Discrete and Distributed Delays","authors":"Yonggang Chen, Yunrui Guo, Liang Wu","doi":"10.1109/ICICIC.2008.385","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.385","url":null,"abstract":"In this paper, the global asymptotic stability problem is considered for a class of neural networks with time-varying discrete and distributed delays. Based on the Lyapunov functional method, and by using the new technique for estimating the upper bound of the derivative of Lyapunov functional, the novel asymptotic stability criterion is derived in terms of linear matrix inequalities (LMIs). Two numerical examples are presented to show the less conservativeness of the proposed method.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121908265","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
Application of Petri Net Model to Lot Scheduling in Steel Works Petri网模型在钢铁厂生产调度中的应用
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.164
R. Maeno, M. Konishi, J. Imai
{"title":"Application of Petri Net Model to Lot Scheduling in Steel Works","authors":"R. Maeno, M. Konishi, J. Imai","doi":"10.1109/ICICIC.2008.164","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.164","url":null,"abstract":"Petri net model is a widely used versatile tool which can represent a discrete event system such as mechanical system, communication system and production system. A variety of optimization problems can be formulated as the optimal firing sequence problem for Petri nets, because this model is excellent in generality and in expression ability. However, when the size of the targeted model becomes large, the calculation time to solve the optimization problem is remarkably increased. We have already proposed an approximation method that achieves the efficiency improvement in the solution procedure by decomposing the timed Petri net. In this paper, we apply this proposed method to lot scheduling problem in steel works and the utility of this method is verified.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116745229","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
Traffic Flow Prediction Based on Hierarchical Genetic Optimized Algorithm 基于层次遗传优化算法的交通流预测
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.580
Hai-Shuang Guan, Wen-ge Ma, Yan Meng
{"title":"Traffic Flow Prediction Based on Hierarchical Genetic Optimized Algorithm","authors":"Hai-Shuang Guan, Wen-ge Ma, Yan Meng","doi":"10.1109/ICICIC.2008.580","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.580","url":null,"abstract":"The forecast of short-term traffic flow in timely and accurate is one of important contents of intelligent transportation system research. Based on the related knowledge of wavelet analysis and fuzzy neural networks, this paper proposes the fuzzy wavelet neural networks control method. It takes wavelet function as fuzzy membership function, uses neural networks to realize fuzzy reasoning, and finishes the estimate of next cyclical traffic flow. Simultaneously the hierarchical genetic algorithm is used to optimize the network structure and the parameter. After the field data test, this method is high precise, stable and compatible.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"439 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999137","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 Hybrid Supervised Neural Network Learning Algorithm 一种混合监督神经网络学习算法
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.607
Pin-Hsuan Weng, Fang-Tsung Liu, Yu-Ju Chen, Chuo-Yean Chang, R. Hwang
{"title":"A Hybrid Supervised Neural Network Learning Algorithm","authors":"Pin-Hsuan Weng, Fang-Tsung Liu, Yu-Ju Chen, Chuo-Yean Chang, R. Hwang","doi":"10.1109/ICICIC.2008.607","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.607","url":null,"abstract":"In this paper, a hybrid supervised learning algorithm for neural network was proposed. The problem of local minimum learning usually occurred in the real application of neural network is tried to be solved or reduced. In order to improve the efficiency and stability of conventional error back-propagation learning algorithm, a hybrid learning method combining the linear multi-regression and backpropagation techniques was developed. To demonstrate the superiority of the method we developed, one example was simulated. The conventional BP learning method was also performed as the comparison with the new method proposed. From the results shown, the conventional BP method easily makes neural model plunge into the local minima. On the contrary, the new method we proposed not only has a fast learning, but also has a better learning efficiency.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117022910","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
The Users' Privacy Protecting Scheme Based on Knapsack Problem 基于背包问题的用户隐私保护方案
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.576
Chun-Hua Chen
{"title":"The Users' Privacy Protecting Scheme Based on Knapsack Problem","authors":"Chun-Hua Chen","doi":"10.1109/ICICIC.2008.576","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.576","url":null,"abstract":"In the e-commerce environment, the protection of users' privacy from a server was not considered feasible until the private information retrieval (PIR) problem was stated and solved. In this paper, we propose a one-server PIR scheme based on a knapsack problem, it is more suitable than other previous PIR schemes in the real e-commerce environment. In addition, a security proof to our scheme and comparisons to other PIR schemes are given.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129606362","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 Systemic Approach towards Recreating a Unified Semantics of Numbers 重建数字统一语义的系统方法
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.100
Yucong Duan
{"title":"A Systemic Approach towards Recreating a Unified Semantics of Numbers","authors":"Yucong Duan","doi":"10.1109/ICICIC.2008.100","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.100","url":null,"abstract":"This study investigated the method of integrating positive integer number types while keeping the amounts of them being traced. It distinguishes from most current adopted definitions and researches which deal with the two aspects independently. An integrated evolutional cognition model of integer numbers is depicted in the manner of a number version \"cosmos explosion\" (NCE). By providing a tunnel to repeat a formation/creation process of numbers, NCE allows not only a new systemic view on semantics/definitions of {numbers, number types, relationships among them}, but also opportunities to retrospect on some of the fundamental/historical issues related to the understanding of numbers. To illustrate the number classification and locating functionalities of NCE, some examples are shown related to the locating of prime numbers, and deduction on the amount and composition relationships among number types, etc, in the \"explosion\" processes of NCE. NCE is promising to be extended to areas of number theory, semantics, computation, cryptology, modeling, etc.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128449216","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
Hierarchical Document Clustering Using Fuzzy Association Rule Mining 基于模糊关联规则挖掘的层次化文档聚类
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.305
Chun-Ling Chen, F. S. Tseng, Tyne Liang
{"title":"Hierarchical Document Clustering Using Fuzzy Association Rule Mining","authors":"Chun-Ling Chen, F. S. Tseng, Tyne Liang","doi":"10.1109/ICICIC.2008.305","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.305","url":null,"abstract":"In this paper, we will present an effective Fuzzy Frequent Itemset-Based Hierarchical Clustering (F2IHC) approach, which uses fuzzy frequent itemsets discovered by fuzzy association rule mining to improve the clustering accuracy of FIHC (Frequent Itemset-Based Hierarchical Clustering) method. Our approach can alleviate the deficiencies of most of the traditional document clustering methods in dealing with the problems of high dimensionality, large data size, and meaningful cluster labels. We have conducted experiments to evaluate our approach on Reuters 21578 dataset. The experimental results show that our approach not only absolutely retains the merits of FIHC, but also improves the document clustering accuracy quality as compared with the FIHC method.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972352","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: 10
Research on Loss Risk under Incomplete Information 不完全信息下的损失风险研究
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.458
Kan Zhang, Xue Feng
{"title":"Research on Loss Risk under Incomplete Information","authors":"Kan Zhang, Xue Feng","doi":"10.1109/ICICIC.2008.458","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.458","url":null,"abstract":"One of the concepts used to measure risk and uncertainty is the variance or the standard-deviation in finance and insurance market. The simplicity of variance and standard-deviation remain a major attraction. But they have some limitations. In this paper, we present a new risk measure which combines entropy and variance under the incomplete information. The estimate of maximum entropy loss distribution and the value of entropy function are obtained by the maximum entropy principle which is very important in information theory. The resulting distribution is least committal with respect to unknown or missing information and is, hence, the least prejudiced. The entropy and variance of the distribution are used to measure probability risk and the disparity of the loss from the mean. This new method is more comprehensive forecast to loss risk because entropy is relative to more moment information. Further, we show an example to illustrate and demonstrate the maximum entropy and variance under various moment constraints.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"140 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129024393","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
Improved Particle Swarm Optimization and Its Application 改进粒子群算法及其应用
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.316
Dongyun Wang, Liping Liu
{"title":"Improved Particle Swarm Optimization and Its Application","authors":"Dongyun Wang, Liping Liu","doi":"10.1109/ICICIC.2008.316","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.316","url":null,"abstract":"In this article, particle swarm optimization (PSO), a powerful competitor in the field of numerical optimization, is used to optimize the feedback control parameters of equilibrium point about inverted pendulum. Convertional PSO is easy to be trapped in the local minimums. The improved PSO, which the particles trapped in local minimums are initialized by chaotic series to help them break away from local optimum to find optimal solution rapidly, is proposed in this paper. Pendulum is used to check the effectiveness of the above stratagy. So the stabilization of pendulum with the nonlinear system model is investigated. A nonlinear system control strategy based on dynamic design variable optimization with an improved PSO is used to stabilize the pendulum. The simulation results show the validity.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126808515","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: 14
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