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Refining of image using self-organizing map with clustering

AIP Conference Proceedings 2016年第1期1715卷

作者： Neeraj Dahiya Surjeet Dalal Gundeep Tanwar 1)Assistant Professor Department of Computer Science & EngineeringSRM University Haryana India 2)Associate Professor Department of Computer Science & Engineering SRM University Haryana India 3)Associate Professor Department of Computer Science & Engineering BRCM College of Engineering & Technology BahalBhiwani Haryana India

Self Organization Map(SOM) is an automatic tool in data analysis in data mining,it is used to explore the multi-dimentional data which simplifies complexity and produce meaningful relation with each other or high dimentional into low dimentional .the powerful method of SOM i.e learning method results excellent performance .the SOM algorithum have various steps from starting stage to the final neuron and their weight updation and modification, these procedure resultant a lot of compplexity accoording to the parameters on the basis of experiments .this paper will compare and discuss various papameters and their result or factors that can improve and refine the image through varius process of SOM.

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Single Sign on Mechanism Using Attribute Based Encryption in Distributed computer Networks

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Procedia computer science 2015年 47卷 441-451页

作者： M. Surya N. Anithadevi PG Student Computer Science and Engineering Coimbatore Institute of Technology Coimbatore- 641014 India Assistant Professor Computer Science and Engineering Coimbatore Institute of Technology Coimbatore- 641014

Single Sign On (SSO) is an authentication mechanism that enables legal user with a single credential to be authenticated by multiple service providers in a distributed computer networks. SSO obtains credential from trusted authorities i.e., Smart Card Producing Center (SCPC) and Trusted Credential Privacy (TCP) which is used for mutual authentication and authorization of legal users. Chang-Lee coined a new SSO scheme which makes use of SCPC for mutual authentication and session key establishment whereas Schnorr signature makes use of TCP which generates and verifies the signature for user's authentication. RSA algorithm and Attribute Based Encryption (ABE) is used for encryption and decryption of messages in which ABE tends to be more efficient than RSA based algorithm. ABE is a new public key based on one-to-many encryption that allows users to decrypt the message based on set of attributes and access policies. Decryption is an expensive process and this ABE system eliminates the decryption overhead using outsourced decryption. Integrity of data is maintained by verification of the cipher text which guarantees that the encrypted and decrypted files are same and original message is recovered using hash technique in case of any modifications in the file.

关键词： Encryption Decryption Ciphertext Trusted Authority Credential.

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FIR3: A Fuzzy Inference based Reliable Replica Replacement Strategy for Cloud Data Centre

FIR3: A Fuzzy Inference based Reliable Replica Replacement S...

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International Conference on Computing and Network Communications

作者： D. VIJAYAKUMAR K. G. SRINIVASAGAN R. SABARIMUTHUKUMAR Assistant Professor (SG) Dept of Computer Science and Engineering National Engineering College Kovilpatti TamilNadu India Professor Dept of Computer Science and Engineering National Engineering College Kovilpatti TamilNadu India Assistant Professor Dept of Computer Science and Engineering National Engineering College Kovilpatti TamilNadu India

ISBN: (纸本)9781467373104

Cloud computing is the most fast driven computing technology in IT industry. Nowadays, due to increase in data intensive applications in various domains, usage of cloud also increases. Mainly in the medical domain, the Electronic Health records form the huge data. Efficient retrieval and management of those e-services is needed for immediate treatments and verification. EHRs are mostly available in multimedia formats and also an efficient multimedia based cloud service is needed. But the data management is the major issue in a cloud environment. Data loss or crash and data outages may happen frequently in this internet based computing. Data Replication is the appropriate solution to overcome these major issues in cloud environment. In this work, we have proposed a new data replication technique based on Fuzzy Inference System. The main idea is to maintain each replica of the data in the different availability zones. Our algorithm uses fuzzy inference to made decision about replacing the existing replicas by the newer ones in order to handle the space inconsistency problems. The synchronization among the replicas has been achieved with lesser error rate and data missing rate. The entire replication technology is deployed in the cloud stack environment. Thus the entire system fault tolerance will be enhanced by this replication technique.

关键词： replication replacement cloudstack data management Electronic Health care records

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An Active Learning Framework for Human Hand Sign Gestures and Handling Movement Epenthesis Using Enhanced Level Building Approach

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Procedia computer science 2015年 48卷 606-611页

作者： R. Elakkiya K. Selvamani Research Scholar Department of Computer Science & Engineering Anna University Chennai 600025 India Assistant Professor Department of Computer Science & Engineering Anna University Chennai 600025 India

Human hand detection and segmentation plays an important role in sign language recognition and human machine interaction. In this paper, a novel approach for learning a vision-based hand detection system is introduced. The main contribution of this paper includes robust boosting-based framework for real-time detection of a hand in unconstrained and heterogeneous environments. The proposed system makes use of efficient representative features which allows fast computation while changing the hand appearances and background. Moreover, this proposed strategy efficiently improves the performance while reducing the effort of hand labeling. Experimental results show that the proposed method is practically more flattering as it meets the requirements of real-time performance, accuracy and robustness. This system has been proved to work well with a reasonable amount of training samples and was computationally found to be more effective and efficient.

关键词： Sign Gestures Movement Epenthesis Level Building Algorithm Machine Learning

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An Improved SRL Based Plagiarism Detection Technique Using Sentence Ranking

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Procedia computer science 2015年 46卷 223-230页

作者： Merin Paul Sangeetha Jamal Department of Computer Science Rajagiri School of Engineering and Technology Kochi-39 India Assistant Professor Department of Computer Science Rajagiri School of Engineering and Technology Kochi-39 India

Plagiarism means intellectual theft which consists of turning someone else's work as your own. Plagiarism has become widespread in many fields like institutions, companies etc. This paper proposes a new technique which uses Semantic Role Labelling and Sentence Ranking for plagiarism detection. Sentence ranking gives suspicious and original sentence pairs through vectorising the document. Then proposed method analyses and compares the ranked suspected and original documents based on the semantic allocation of each term in the sentence using SRL. It was found out that the application of sentence ranking in plagiarism detection method decreases the time of checking.

关键词： Plagiarism Plagiarism detection Semantic Role Labeling Sentence Ranking Semantic Similarity

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Credential Based Authentication Approach for Dynamic Group in Cloud Environment

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Procedia computer science 2015年 48卷 166-172页

作者： K. Selvamani Pradeep Kumar Arya Assistant Professor Department of Computer Science & Engineering Anna University Chennai 600025 India Research Scholar Department of Computer Science & Engineering Anna University Chennai 600025 India

Solutions provided by Cloud computing not only includes the issues inherited from related technologies such as virtualization and distributed computing, but also new concerns associated to complexity of the cloud ecosystem composed by the cloud entities and their interactions. Authentication plays an important aspect in Cloud computing. This proposed system concentrates on authentication with reasonable time factor and reduce data traffic in the Cloud computing process. In addition, this system also identifies and analysis the credential management that focus on the cloud ecosystem for dynamic groups. Moreover a framework for credential classification that analyses the unifying concept and its related service is proposed and implemented. This proposed system proves to be more efficient when compare to other existing technology.

关键词： Cloud computing Authentication Credentials Ecosystem

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Enhanced Load Balanced Min-min Algorithm for Static Meta Task Scheduling in Cloud Computing

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Procedia computer science 2015年 57卷 545-553页

作者： Gaurang Patel Rutvik Mehta Upendra Bhoi Computer Science & Engineering Department Parul Institute of Engineering &TechnologyVadodara Guajarat India. Assistant Professor Information TechnlogyDepartment Parul Institute of Engineering &TechnologyVadodara Guajarat India. Assistant Professor Computer Science & Engineering Department Parul Institute of TechnologyVadodara Guajarat India.

For today's most demanding service of cloud computing, there are many tasks required to be executed by the available resources to achieve best performance, reduce response time and utilize resources. There is a need of designing a new task scheduling algorithm that outperform appropriate allocation map of task. to achieve these challenges. As Load Balanced Min-Min Algorithm selects the task with minimum completion time and assigns it to appropriate resource, it sometimes does not produce better makespan and does not utilize resources effectively. This paper represents study of variety of task scheduling algorithms and modification of Load balanced Min-Min (ELBMM) algorithm for Static Meta-Task Scheduling. The modified algorithm is built based on comprehensive study of the impact of Load balanced Min-Min algorithm for Static Meta-Task Scheduling in grid computing. Enhanced Load balanced Min-Min algorithm (ELBMM) is based on Min-Min strategy and tasks rescheduling to use the unutilized resources effectively. It selects the task with maximum completion time and assigns it to appropriate resource to produce better makespan and utilize resource effectively.

关键词： Cloud Computing Meta Task Scheduling ELBMM Min-Min algorithm .

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Reputed Packet Delivery Using Efficient Audit Misbehaviour Detection and Monitoring Method in Mobile Ad Hoc Networks

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Procedia computer science 2015年 48卷 489-496页

作者： A. Vijayakumar K. Selvamani Arya Pradeep kumar Research Scholar Department of Computer Science and EngineeringAnna University Chennai 600025 India Assistant Professor Department of Computer Science and Engineering Anna University Chennai 600025 India

Safe and secure packet delivery multi-hop Mobile Ad hoc Network (MANET) is a challenging issue in today network environment. Hence, this paper aims in proposing to identify the misbehaving nodes and eliminating them from the packet transmissions in multi-hop mobile ad hoc networks. The effective and efficient Audit Misbehaviour Detection and Monitoring Method (AMDMM) that effectively monitors the both continuous and selective packet droppers to forward the packets through the reputed nodes. In this research work, the AMDMM integrates an identification of misbehaving nodes as well as the reputation management and trustworthy route discovery based on the behavioral audits. The AMDMM evaluates nodes’ behavior on a per-packet basis, without employing energy expensive overhearing techniques or intensive acknowledgment schemes. The Simulations are carried out successfully for eliminating the misbehaving nodes from the packet transmission and to establish the effective trustworthy routing path.

关键词： Audit Monitoring: Mobile Ad hoc Networks (MANET) Misbehavior detection Reputation System

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Adaptive and Optimized Emergency Vehicle Dispatching Algorithm for Intelligent Traffic Management System

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Procedia computer science 2015年 57卷 1384-1393页

作者： Partha Sarathi Chakraborty Arti Tiwari Pranshu Raj Sinha Assistant Professor Department of Computer Science and Engineering SRM University Chennai India B.Tech. CSE Student Department of Computer Science and Engineering SRM University Chennai India

Rapid development of metropolitan cities into smart cities and daily increased in number of vehicles on the roads causes increase in traffic maintenance challenges such as traffic congestion, accidents, dispatching of emergency vehicle and pollution. It will suffers people travel time, delay in response time of emergency vehicle such as ambulance, fire brigade, police etc., causes heavy loss or effects society in terms of wealth, emotions and security. The research work done in the area of Intelligent Transportation Systems and Traffic Management primarily focuses on determining effectively green light duration along with dispatching of emergency vehicle. In this research paper, we propose an algorithm which not only determines green light duration dynamically but also handles the emergency vehicle management efficiently. The objectives of the proposed algorithm are minimizing average waiting time. It always analysis the traffic situation at traffic intersection, along with continuous monitoring of emergency vehicle arrival at different lanes causes to optimize the waiting time of vehicle in lanes. It also deals with the deadlock and starvation condition, due to arrival of emergency vehicle in repeated interval of time in traffic intersection. The security level of emergency vehicle is in consideration during dispatching that assigned and verified by authorities to preserve security measures and society values. Here, the source of input on dynamic traffic condition is collected through Wireless Sensor Networks technology.

关键词： Intelligent Transportation Systems Emergency Vehicle Traffic lights Wireless Sensor Networks Traffic Management Smart Cities

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Vision System with Audio Feedback to Assist Visually Impaired to Grasp Objects

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Procedia computer science 2015年 58卷 387-394页

作者： S. Gautam K.S. Sivaraman Hariharan Muralidharan A. Baskar Student Department of Computer Science and Engineering Amrita Vsishwa Vidyapeetham (University) Coimbatore India Assistant Professor Department of Computer Science and Engineering Amrita Vsishwa Vidyapeetham (University) Coimbatore India

In recent times, there have been many products that cater to the visually challenged, but only few have been readily available for regular use. The reason being, that the technology driving these products are costly, or complex to use. In this work, we propose a “Vision system with audio feedback to assist visually impaired to grasp objects”. Our proposed system eliminates these challenges, in its usability, complexity and functionality. The system is designed to serve the following: (1) Finding a desired object in the scene, in which, the object recognition is done using Weighted Matrix Algorithm from the visual input received from the camera; and (2) Assisting the user to the object's proximity, where, the user is guided using audio-feedback, at every step. This approach is represented taking the example of a commonly found object in our household. We have considered a water bottle. The above approach is found to produce suitable results.

关键词： Object Recognition Weighted Matrix Visually Impaired Audio Output Hu Moments

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