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Volume 05 Issue 07 (July 2018)

S.No. Title & Authors Page No View
1

Title : Importance of Study of Mathematics in Engineering Education

Authors : Mr. Rakesh Kumar Verma, Dr. Arvind Dewangan

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Abstract :

The word engineering comes from the Latin word "inenerare," which means "to create." Engineering is a science where the forces of nature are converted for the utility of mankind. Natural forces and mathematical analysis are juxtaposed for the benefit of people. Science and mathematics are integral parts of engineering. Science teaches us about the laws of the natural world and mathematics helps us to establish relationships among different quantities. Both subjects are of paramount importance if you are planning to study engineering at the university level. While in school, you must build a very strong understanding of science and mathematics because these are the foundations upon which your study will be based.

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2

Title : Solving the Traveling Salesman Problem using Genetic Algorithms

Authors : Luis F. Copertari

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Abstract :

The Traveling Salesman Problem (TSP) is solved using genetic algorithms. Two alternative ways to represent the solution (genes in series and genes in two columns) are used and different mutation rates as well as different population sizes are considered. Two computer programs are created to solve the problem and yield experimental data. The data is analyzed and discussed and conclusions are derived. An equation relating the percentage of the population with the same solution (w) and the mutation rate (g) is discussed. This equation and the tradeoff between population size, mutation rate and chromosome portraying method are the theoretical contributions of this work, as well as an innovative way to solve the TSP, which is a hard problem to solve using traditional optimization, such as linear programming.

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3

Title : Efficiently Discovered Deep Web Interface Using Data Mining Approach

Authors : Ms. Bangar Abhishek P., Prof. Kore K.S.

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Abstract :

the content hidden behind HTML forms, has long been Recognized as a significant gap in search engine coverage. It represents required contents of the data on the Web; accessing Deep-Web content is not an easy challenge for the database community. Indexing of the searched data is fundamental problem faced by web crawlers that has profound effect on search engine efficiency. Recent study about searching contents on the web shows that nearly 96% of data over internet is encapsulated as well as hidden i.e. not found to search engines. The challenge faced by the search engines is to retrieve and access hidden web data or contents at low cost.  This composed system uses a machine learning approach that is highly scalable, completely automatic, and very efficient to use, that helps to improve data retrieval functionality at lower cost. This system uses focused crawling strategy for accessing accurate searched results related to query and selects only relevant information or data according to their similarity with respect to query. The algorithm used in this system intelligently selects only possible candidates rather than searching whole document for addition in too your web search index. The automatic attribute building is used for form classification that helps to minimize manual training time and data set building.

15-19
4

Title : Study on Stability and Convergence Speed of Comprehensive National Strength System with Time Delay

Authors : Chunpu Zhang, Yanhui Zhai

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Abstract :

The stability andof the comprehensive national strength model with time delay are discussed. The linear stability and of the model are studied by using the geometric criterion of stability switching for time delay systems, and the differences and relations between the two stability are compared. Finally, numerical simulation is applied to verify the accuracy and effectiveness of the conclusion.

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