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International Conference on Information Communication and Embedded Systems

作者： S. AMUTHA KANNAN BALASUBRAMANIAN Assistant Professor (Sr.Gr.) Department of Information Technology P.S.R Engineering College Sivakasi Professor Department of Computer Science and Engineering Mepco Schlenk Engineering College Sivakasi

ISBN: (纸本)9781467357869

Routing is a fundamental networking function in every communication system including wireless Ad hoc networks. Operation of the entire network can be affected by attacking the service .Such attacks can be performed easily in wireless networks due to the unsupervised access to the wireless medium. The malicious manipulation of routing messages results in the dissemination of incorrect routing information leading to network malfunction. Attacks on ad hoc network routing protocols disrupt network performance and reliability. In addition intermediate nodes can be corrupted and thus exhibit arbitrary behavior. The novel algorithm that detects internal attacks by using both message and route redundancy during route discovery. Route discovery messages are protected by pair wise secret keys between a source and destination .The routes are established by public key cryptographic mechanisms. We propose and analyze the performance of secure implementation of the existing routing protocols like Dynamic Source Routing (DSR) and Adhoc On-demand Distance Vector (AODV).

关键词： Routing security Attacks AODV DSR

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Improvising Seeker Satisfaction in Cloud Community Portal: Dropbox

Improvising Seeker Satisfaction in Cloud Community Portal: D...

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International Conference on Communication and Signal Processing

作者： N.S. Sudharsan K. Latha the Department of Computer Science and Engineering PG Scholar Anna University: :Regional Centre Tiruchirappalli Tiruchirappalli - 620 024 the Department of Computer Science and Engineering Assistant Professor Anna University: :Regional Centre Tiruchirappalli Tiruchirappalli - 620 024.

ISBN: (纸本)9781467348652

Cloud computing has become one of the most crucial part in accessing the set of resources when it comes to Information Technology (IT) domain, where it reduces the cost of their resource ownership and its services. Since cloud computing is believed to be a suitable and adaptable one for small business, the public cloud dominates in storing an organization resource with ease. However one of the most notorious problems in any cloud storage is their security issues, particularly in public cloud like Dropbox. Dropbox uses client application, a web interfaces for account management through which a user can access the data which they required. In this paper all the possible attacks that can be done in Dropbox like spam mail and phishing attack are taken into consideration and a novel proposed approach is incorporated in the system for preventing those attacks.

关键词： Account management Cloud computing Drop box Phishing attack Spam mail

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Optimization of Dispersed Laminated Composite Plate for Maximum Safety Factor Using Genetic Algorithm and Various Failure Criteria

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Procedia engineering 2012年 38卷 1209-1217页

作者： P. Emmanuel Nicholas K.P. Padmanaban A. Sathya Sofia Associate Professor Department of Mechanical Engineering PSNA College of Engineering and Technology Dindigul Principal SBM College of Engineering and Technology Dindigul Assistant Professor Department of Computer Sciencel Engineering PSNA College of Engineering and Technology Dindigul

In this study, an optimization procedure is proposed to maximize the safety factor of laminated composite plates subject to in-plane loading. Fiber orientation angles and stacking sequence are chosen as design variables. Genetic Algorithm (GA), which is a reliable global search algorithm, is used to search the optimal design. Static failure criteria are used to determine whether load bearing capacity for a configuration generated during the optimization process. In order to avoid spurious optimal designs, both the Tsai–Wu and the maximum stress criteria are employed to check static failure. Numerical results are obtained and presented for different loading cases.

关键词： Dispersed Laminate Safety Factor, Genetic algorithm, Static failure Criteria

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Customized News Filtering and Summarization System Based on Personal Interest

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Procedia engineering 2012年 38卷 2214-2221页

作者： M.H. Anand babu G. Mani Post-Graduate Scholar Department of Computer science & Engineering Anna University of Technology Trichirapalli India Assistant Professor Department of Computer Science & Engineering Anna University of Technology Trichirapalli India

Abstract_ In the World Wide Web the information consists large amount of news contents. In Web intelligence Recommendation, filtering, and summarization of Web news have received much attention and also aims to find interesting news to the users .In this paper we present Customized news filtering and summarization system based on personal interest and it summarizes concise content for users .A user interest model induced by embedded learning component of CNFS and it also recommends customized news. Retrieving useful Web news involves both filtering and keyword extraction and also maintains key word knowledge base. The non-news content irrelevant to the news Webpage is filtered out .This extraction method substantially outperforms methods based on term frequency and lexical chains to represent semantic relation between words.

关键词： Customized News Web News Filtering Web News Summarization nowledgebase

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Development of Digital HPCF Control System for Nuclear Power Plant

Development of Digital HPCF Control System for Nuclear Power...

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2012 International Conference on Power and Energy Systems(ICPES 2012)

作者： Yu-Jen Pan Rung-Shiang Cheng Assistant Professor Department of Computer and Communication Engineering Ta Hwa Institute of Technology Hsinchu Taiwan ("ROC") Assistant Professor Department of Computer and Communication Kun Shan University Tainan Taiwan ("ROC")

This paper presents the development of the nuclear power plant safety systems-the high pressure core flooder (HPCF) system. Utilizing recently relative studies to design and implement a digital HPCF automatic control. In this project, a measurement unit and a flexible program has been developed with LabVIEW to allow automated measurements using a variety of operation modes. Also, the logical control behavior of HPCF system will be identified whether the system conforms to the original HPCF design.

关键词： Instruments and control, Nuclear power plant, Control logic system.

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Software effort estimation using Neuro-fuzzy approach

Software effort estimation using Neuro-fuzzy approach

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CSI International Conference on Software engineering (CONSEG)

作者： Urvashi Rahul Saxena S. P. Singh Assistant Professor Department of Computer Science and Engineering J. S. S. Academy of Technical Education Noida India Assistant Professor Computer Science Department Birla Institute of Technology Noida India

A successful project is one that is delivered on time, within budget and with the required quality. Accurate software estimation such as cost estimation, quality estimation and risk analysis is a major issue in software project management. A number of estimation models exist for effort prediction. However, there is a need for novel model to obtain more accurate estimations. As Artificial Neural Networks (ANN's) are universal approximators, Neuro-fuzzy system is able to approximate the non-linear function with more precision by formulating the relationship based on its training. In this paper we explore Neuro-fuzzy techniques to design a suitable model to utilize improved estimation of software effort for NASA software projects. Comparative Analysis between Neuro-fuzzy model and the traditional software model(s) such as Halstead, WalstonFelix, Bailey-Basili and Doty models is provided. The evaluation criteria are based upon MMRE (Mean Magnitude of Relative Error) and RMSE (Root mean Square Error). Integration of neural networks, fuzzy logic and algorithmic models into one scheme has resulted in providing robustness to imprecise and uncertain inputs.

关键词： Estimation Software Predictive models Data models Inference algorithms Software algorithms Analytical models

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Predict Student Scores Using Bayesian Networks

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Procedia - Social and Behavioral Sciences 2012年 46卷 4476-4480页

作者： Rafe Torabi Parham Moradi Ali Reza Khantaimoori Msc Islamic Azad University ZanjanIran Assistant Professor Faculty of Electrical and Computer Engineering University of Kurdistan Sanandaj Iran Faculty of Engineering Computer Engineering Department University of Zanjan ZanjanIran

Selection appropriate courses are one of the main student concerns in the universities which have direct major effects on their educational efficiency. Moreover the correct selections of the courses will decrease the student's educational failure. Prediction scores of the courses is one of the effective approaches which helps the students to select their courses intelligently. One can propose a model for predicting the student course scores based of the student's educational history. In this paper we propose a Bayesian Network model for prediction of student scores. The proposed model predicts the student's scores considering the students attributes and his educational history. To evaluate the efficiency of the proposed model, we use the GeNIe software(korb KB., Nicholson AE) to run experiments. We have tested our proposed model on 500 different students which has been studied in various Information technology university levels. The results show that applying our proposed method has main effects on the quality of the students and can be used as a helpful tool for them.

关键词： Selected units predicted grades Bayesian networks academic failure

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Energy Efficiency and Network Lifetime Maximization in Wireless Sensor Networks Using Improved Ant Colony Optimization

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Procedia engineering 2012年 38卷 3797-3805页

作者： Anil Kumar Anil Thomas PG Scholar Deprtment of Computer Science and Engineering Sun College of Engineering and Technology Tamil NaduIndia Assistant Professor Department of Information Technology Mount Zion College of Engineering KeralaIndia

Improving network lifetime is the fundamental challenge of wireless sensor networks. One possible solution consists in making use of mobile sinks. Sink mobility along a constrained path can improve the energy efficiency in wireless sensor networks. However, due to the path constraint, a mobile sink with constant speed has limited communication time to collect data from the sensor nodes deployed randomly. This poses significant challenges in jointly improving the amount of data collected and reducing the energy consumption. This paper proposes a data collection scheme, called the Maximum Amount Shortest Path (MASP), to address this issue that increases network throughput as well as conserves energy by optimizing the assignment of sensor *** is formulated as an integer linear programming problem and then solved with the help of improved ant colony optimization. The residual energy of each node is calculated and the optimal path is selected by considering the shortest path, residual energy, channel noise, and delay. This approach is validated through simulation experiments using NS2

关键词： Mobile sinks constrained path data collection sensor nodes residual energy channel noise delay

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Resistance evolution in HIV - modeling when to intervene

Resistance evolution in HIV - modeling when to intervene

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American Control Conference

作者： Liliana Mabel Peinado Cortes Ryan Zurakowski Biomedical Engineering Department at the National University of Columbia Assistant Professor of Electrical and Computer Engineering University of Delaware Newark DE 19716 USA

ISBN: (纸本)9781457710957

The treatment of HIV is complicated by the evolution of antiviral drug resistant virus and the limited availability of antigenically independent antiviral regimens. The consequences to the patient of successive virological failures is such that many strategies to minimize the occurrence of such failures are being investigated. In this paper, a Markov chain-based model of virological failure is introduced. This model considers sequential failure events, and differentiates between several modes of virological failure. This model is then used to evaluate the resistance- targeted interventions by means of testing the impact of a viral load preconditioning strategy on total treatment regimen longevity in HIV patients. It is shown that a proposed intervention targeting pre-existing resistance has the potential to increase the expected time to three sequential virological failures by an average of 3.3 years per patient. When combined with an intervention targeting patient compliance, the total potential increase in the time to three sequential virological failures is as high as 11.2 years. The impact on patient and public health is discussed.

关键词： Immune system Drugs Human immunodeficiency virus Markov processes Strain Equations

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A General Phase Transition Model for Traffic Flow on Networks

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Procedia - Social and Behavioral Sciences 2012年 54卷 302-311页

作者： Sébastien Blandin Paola Goatin Benedetto Piccoli Alexandre Bayen Daniel Work Research Scientist IBM Singapore Research Collaboratory Research Scientist INRIA Sophia Antipolis -Méditerranée Professor Department of Mathematical Sciences Rutgers University Camden Associate Professor Department of Electrical Engineering and Computer Sciences Department of Civil and Environmental Engineering University of California Berkeley Assistant Professor Department of Civil and Environmental Engineering University of Illinois at Urbana-Champaign

A general class of macroscopic traffic flow models describing traffic dynamics on transportation networks is presented, with emphasis on the formulation of the junction problem. The type of admissible waves generated ... 详细信息

关键词： hyperbolic conservation law phase transition network model Riemman problem macroscopic pollution model

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