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International Conference on Management and Service science, MASS

作者： Rosella Giacometti Maria Teresa Vespucci Marida Bertocchi Department of Mathematics Statistics Computer science and Applications University of Bergamo Bergamo Italy Department of Information Technology and Mathematical Methods University of Bergamo Bergamo Italy Universita degli Studi di Bergamo Bergamo Lombardia IT

A stochastic multi-stage portfolio model for a hydropower producer operating in a competitive electricity market is proposed. The portfolio includes its own production and a set of forward contracts for future delivery or purchase of electricity to hedge against risks. The goal of using such a model is to maximise the profit of the producer and reduce the economic risks connected to the fact that energy spot and forward prices are highly volatile. Our findings show that the use of forward contracts for hedging purposes results in a risk reduction and in a more efficient use of the hydroplant, taking advantage of the possibility of pumping water and ending up with a higher final value of the reservoi.

关键词： Reservoirs Stochastic processes Forward contracts Mathematical model Electricity Biological system modeling

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Anonymity leakage reduction in network latency

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2010年第1期5卷 19-28页

作者： Anyanwu, Longy O. Keengwe, Jared Arome, Gladys Mathematics and Computer Science Fort Hays State University Hays KS United States Department of Teaching and Learning University of North Dakota ND United States Department of Media and Instructional Tech Florida Atlantic University FL United States

Each Internet communication leaves trails here or there, that can be followed back to the user. Notably, anonymous communication schemes are purposed to hide users' identity as to personal, source and destination location and content information. Notably, no network capability is in existence to completely negate anonymity leakage in network latency, thus, the minimization of anonymity leakage in network latency becomes critically salient. The purpose of this paper is to investigate network latency anonymity leaks, and propose practical techniques for their reduction. In this direction, we investigate the following technical question: what implementation techniques can be configured to truly reduce anonymity leaks using deployable systems. Here, an extension of the popular Tor security strategies and unique configuration of the popular network anonymity techniques (algorithms) for future implementation are presented.

关键词： Network security

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Adaptive Control of a Class of Novel Hyperchaotic Systems with Fully Unknown Parameters

Adaptive Control of a Class of Novel Hyperchaotic Systems wi...

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The 2nd IEEE International Conference on Advanced computer Control(第二届先进计算机控制国际会议 ICACC 2010)

作者： Yan Zhao Xichang Han Lihua Miao Qiuye Sun Department of Automatic Control Engineering Shenyang Institute of Engineering Shenyang China Fundamental Teaching Department of Computer Mathematics and Physics Shenyang Medical College Sheny College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781424458455;9781424458486;9781424458479;9781424458462

In this paper, the stabilization problems of a class of new hyperchaotic systems with fully unknown parameters are concerned. Based on the adaptive control idea, two novel adaptive state feedback controllers are designed to implement the asymptotic stabilization of this kind of new hyperchaotic system by choosing appropriate controller structure and parametric updating law, respectively. The effectiveness of the proposed adaptive control method is verified by simulation results.

关键词： hyperchaotic system adaptive stabilization unknown parameters Lyapunov stability theory

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Adaptive Generalized Synchronization of Two Nonidentical Hyperchaotic Systems with Unknown Parameters

Adaptive Generalized Synchronization of Two Nonidentical Hyp...

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The 2nd IEEE International Conference on Advanced computer Control(第二届先进计算机控制国际会议 ICACC 2010)

作者： Yan Zhao Tieyan Zhang Lihua Miao Qiuye Sun Department of Automatic Control Engineering Shenyang Institute of Engineering Shenyang China Fundamental Teaching Department of Computer Mathematics and Physics Shenyang Medical College Sheny College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781424458455;9781424458486;9781424458479;9781424458462

This paper considers the generalized synchronization problems of two different hyperchaotic systems with unknown parameters. By denoting the synchronization error signals as the difference between the state variables of the drive system and the state variables of the response system, the hyperchaotic synchronization problem is transformed into the stabilization control problem of the origin of the synchronization error system. Based on the Lyapunov stability, a new adaptive synchronization controller is designed and the asymptotic stability of the origin of the synchronization error system is proved, simulation results illustrate the correctness of the proposed generalized synchronization method.

关键词： Lu hyperchaotic system Generalized Henon-Heiles hyperchaotic system adaptive generalized synchronization unknown parameters

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Scalable Intrusion Detection with Recurrent Neural Networks

Scalable Intrusion Detection with Recurrent Neural Networks

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International Conference on Information Technology: New Generations (ITNG)

作者： Longy O. Anyanwu Jared Keengwe Gladys A. Arome Department of Math and Computer Science Fort Hays State University Kansa USA Department of Teaching and Learning University of North Dakota ND USA College of Education Ldrshp & Tech Valdosta State University GA USA

The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all solution model. Such IDS is not as economically sustainable for all organizations. Furthermore, studies have found that Recurrent Neural Network out-performs Feed-forward Neural Network, and Elman Network. This paper, therefore, proposes a scalable application-based model for detecting attacks in a communication network using recurrent neural network architecture. Its suitability for online real-time applications and its ability to self-adjust to changes in its input environment cannot be over-emphasized.

关键词： Intrusion detection Recurrent neural networks Clustering algorithms Support vector machines Support vector machine classification Telecommunication traffic computer networks Neural networks Traffic control Communication system security

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Improved chromosome encoding for genetic-algorithm-based assembly sequence planning

Improved chromosome encoding for genetic-algorithm-based ass...

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International Conference on Intelligent Computing and Integrated Systems (ICISS)

作者： Yong-qiang Liang Xiao-shu Zhu Miao Xie Department of Mathematics and Computer Science Yulin Normal University Yulin China Office of Teaching affairs Yulin Normal University Yulin China College of Profession Technology Yulin Normal University Yulin China

In order to ensure every feasible assembly sequence is included in the searching space of genetic algorithm, this paper proposes an improved genetic encoding method. In this method, every chromosome is encoded by a permutation of integer. Although the final form of chromosome is the same as the existing form, the decoding process is different. In our decoding process, every permutation of integer is transformed into an ordered set of all edges in the stability-directed graph, and then the ordered set of edges is transform into an ordered set of assembly states. The correctness of this method is proved, the combination of this method and the existing genetic algorithm is discussed, and an example is presented to show the effectiveness of our encoding method.

关键词： Gallium Planning computer science

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Asymptotic suppression of a class of discrete-time hyperchaotic systems based on fuzzy control method

Asymptotic suppression of a class of discrete-time hyperchao...

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Chinese Control Conference (CCC)

作者： Zhidan Wu Ying Pan Wei Deng Fusheng Song Fundamental Teaching Department of Computer & Mathematics Shenyang Normal University Shenyang P. R. China School of Mathematics & Computer Science Harbin University Harbin P. R. China Department of Automatic Control Engineering Shenyang Institute of Engineering Shenyang P. R. China

The chaotic suppression problem for a class of typical discrete-time hyperchaotic systems is investigated in this paper. A T-S fuzzy model-based control method is employed to eliminate hyperchaos in the considered discrete-time system. Firstly, the T-S fuzzy representation for the discrete-time hyperchaotic system is presented. Then, a state feedback controller is designed based on the parallel distributed compensation technique. According to the linear matrix inequality method and exact linearization technique, two kinds of approaches are given to solve the controller gain matrices. Finally, the validity of the proposed chaotic suppression method is illustrated by a numerical example.

关键词： Chaos Linear matrix inequalities Control systems Electronic mail Numerical models Synchronization Adaptive systems

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A survey of modelling uncertain data

A survey of modelling uncertain data

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International Conference on computer science and Information Technology (CSIT)

作者： Teng Lv Weimin He Ping Yan Teaching and Research Section of Computer Artillery Academy of PLA Hefei China Department of Computing and New Media Technologies University of Wisconsin Stevens Stevens Point WI USA School of Science Anhui Agricultural University Hefei China

Uncertainty in data is caused by various reasons such as data generated and transmitted in sensor networks, data mapping in uncertain data integrating environments, and data in some specific applications considering privacy and confidentiality, etc. To describe the uncertainty in data, probabilistic approaches are widely used among other approaches. This paper gives a survey study on some probabilistic approaches in database fields as well as in semi-structured datasets, especially in XML datasets.

关键词： Variable speed drives computers

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Sensitivity Analysis in Stochastic Second Order Cone Programming for Mobile Ad Hoc Networks

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Procedia - Social and Behavioral sciences 2010年第6期2卷 7704-7705页

作者： Francesca Maggioni Stein W. Wallace Marida Bertocchi Elisabetta Allevi Departement of .Mathematics Statistics Computer Science and Applications University of. Bergamo Via dei Caniana n. 2 24127 Bergamo Ialy Department of Management Science Lancaster University Management School Lancaster LA1 4YX United Kingdom Department of Quantitative Methods. University of Brescia. Contrada S. Chiara 50 25122 Brescia Italy

In this paper sensitivity analysis is adopted in order to understand the randomness of a stochastic second order cone program for mobile ad hoc networks [3]. The algorithm looks for a destination node and sets up a route by means of the expected zone, the region where the sender node expects to find the destination node and the requested zone defined by the sender node for spreading the route request to the destination node. Sensitivity analysis is performed by considering different costs of flooding and latency penalty. Evaluation of EVPI and VSS [2]-[4] allows us to find the range of values in which it is safe to save time by using a deterministic approach instead of a stochastic one.

关键词： sensitivity analysis stochastic programming mobile ad hoc network second order cone programming evaluation of deterministic solution

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Link spam detection based on genetic programming

Link spam detection based on genetic programming

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International Conference on Natural Computation (ICNC)

作者： Xiaofei Niu Shengen Li Ning Yuan Xuedong Niu Cuiling Zhu School of Computer Science & Technology Shandong Jianzhu University Jinan Shandong China Teaching Affairs Department Shandong University of Technology Zibo Shandong China School of Information Science and Engineering University of Ji''nan Jinan Shandong China School of Information Management Shandong Economics University Jinan Shandong China

Link spam refers to unfairly gaining a high ranking on search engines for a web page by means of trickily manipulating the link graph to confuse the hyper-link structure analysis algorithms. It seriously affects the quality of the search engine query results. Detecting link spam has become a big challenge for web search. This paper proposes to learn a discriminant function to detect link spam by genetic programming. In this article, the representation of individuals, the genetic operators and the fitness function are studied. The experiments on WEBSPAM-UK2006 are carried out to find the preferable parameters and evaluate the validity of genetic programming. The experimental results show that this method can improve spam classification recall by 27.5%, F-measure by 12.1% and accuracy by 4.6% compared with SVM.

关键词： Unsolicited electronic mail Accuracy Search engines Genetic programming Binary trees Web pages Feature extraction

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