Latest Articles - Volume 8 No. 3

  • Eigen values Matrix For Recognition English Letters

    Israa Mohammed Hassoon

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    Reading skills or recognizability of letters and shapes are one of the human potential. The main objective in the design of any recognition system is to reduce the amount of data and get the perfect ratio of recognition. In this work ,eigen values matrix is used to recognize English letters .The process of recognize English letters (small letters , capital letters) in different sizes and different fonts that captured from scanner has been done by extracting topological features that study of qualitative properties of  letters , then topological features used to build eigenvalues matrix .

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  • Approach to Solving K-Sat Problem Based on Reduction Thereof to the Covering Problem

    S. V. Listrovoy1 and А. V. Sidorenko2

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    We propose an exact polynomial-time algorithm for solving SAT the problem.

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  • Semantic Web: XML and RDF Roles

    Fadi Al kalani

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    This research paper presents an overview of the main concepts of the semantic web, and is aiming to present some ideas of developing the concept of semantic web using XML and RDF. In particular, the research reveals the positive impact of using RDF instead of XML through the concept of “Semantic Web”, with the knowledge that many of the researches demonstrated the preference of RDF for the many reasons including simplicity, abstract syntax, and providing a data model. In particular, our main goal is to define the appropriate elements to develop a semantic web using both XML and RDF. Our approach is achieved by developing a simulated web search engine to describe and emphasize the positive role of using RDF rather than XML in web search.

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  • Hybrid Approach for Load Balancing in Cloud Computing

    Vineet Richhariya, Ratnesh Dubey and Rozina Siddiqui

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    Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. Load balancing with cloud computing provides a good  efficient  strategy to   several   inquiries  residing  inside  cloud computing environment set. complete  balancing must  acquire   straight into   accounts   two     tasks,  one   will be the  resource provisioning as well as  resource allocation  along with   will be   task  scheduling  throughout  distributed System. Round robin algorithm can be   via far  the   Easiest  algorithm  shown   to help  distribute  populate  among nodes. Because of this reason it is frequently the first preference when implementing a easy scheduler. One of the reasons for it being so simple is that the only information required is a list of nodes. The proposed algorithm eliminates the drawbacks of implementing a simple round robin architecture in cloud computing  by introducing a concept of assigning different time slices to individual processes depending on their are priorities.

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  • Scheduling Strategies in Hadoop: A Survey

    S Rashmi1 and  Anirban Basu2

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    Hadoop-MapReduce is one of the dominant parallel data processing tool designed for large scale data-intensive cloud computing platforms. Hadoop Mapreduce framework requires a proficient mechanism to allocate and schedule computing resources   which makes it liable to accomplishthe desired preferences for the specific business application. In this paper, an analysis of a few scheduler improvement methods that improves the completion time of the job or the task  has been carried out  in order  to facilitate a judicious choice of the scheduler  based on the requirement and application expectations .

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