Informatics Publishing Limited

A. Rajeswari ¹, M. Kannan ²

Affiliations
1 Theivanai Ammal Women's College, Villupuram, Tamil Nadu, IN
2 Department of Computer Science and Applications, SCSVMV University, Kanchipuram, Tamil Nadu, IN

Abstract

A Synonym based document clustering approach is proposed to cluster more document related to the user query. The synonym of the word is got from online thesaurus. Document clustering is one of the concepts in data mining. Many techniques are used for clustering. In the existing synonyms of the word and their synonyms stored in the database by the user. User should store all the words one by one so it takes more time. Sometimes all the words could not be stored in the database. If the word has more than one synonym it will be complex. In this proposed synonyms are got from the thesaurus.com (online library). In this method both the user entered keyword and their synonyms also clustered. Tf-idf method is used for ranking the clustered documents by using c#.net code. So it gives more relevant and accurate results of the user query. For experimental purpose we have used some text files. It gives better performance than the existing method and there is no need to maintain the database.

Keywords

Document Clustering, Synonym Based Search, TF-Idf, Thesaurus.

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A. Rajeswari

Abstract

The book 'Implications of Declining Sex Ratio in India's Population'by Asok Mitra is giving a vivid picture of the changing trend of the sex ratio in India's Population since 1931. He has done a careful analytical research in this important field. The ICSSR/JNU Project on the analysis and utilisation of census and related data (1872-1971) has provided him an opportunity to start his investigation in depth at the level of the district. He has analysed the effects of recurrent famines from the middle of the nineteenth century.

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R. Sasikumar ¹, V. Ananthanarayanan ¹, A. Rajeswari ²

Affiliations
1 Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritanagar Post, Ettimadai, Coimbatore - 641112, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, Coimbatore Institute of Technology, Avinashi Road, Civil Aerodrome Post, Peelamedu, Coimbatore - 641014, Tamil Nadu, IN

Abstract

Background/Objectives: Due to high transmission power emitted by macro cell, very few users will be offloaded to nearby pico cell which leads to underutilization of pico cells in Heterogeneous Networks (HetNet). Method/Statistical Analysis: Cell Range Expansion (CRE) is a technique to virtually expand the coverage range of pico cell. With the help of CRE, user equipment will add a bias value to actual signal strength received from pico cell and thereby offload their traffic from macro cell to pico cell. But, at the same time adding bias value will lead to additional downlink interference which becomes severe for choosing higher bias value. Findings: Optimal bias value reduces the number of outage mobile stations but it depends on several factors which are hard to find such as the distribution of mobile stations over the cells, resource shared between pico and macro cells, mobility pattern and so on. In this paper, we are proposing a solution of Intelligent Pico Cell Range Expansion (IP-CRE) which calculates the effective bias value for each mobile station independently, by using a fuzzy logic inference system. Our proposed solution takes multiple attributes like signal strength of pico and macro cells, speed and direction of mobile stations, battery level and traffic requirements as input parameters and the output will be an effective bias value for each mobile station. We analyzed the effectiveness of the bias value by varying the number of connected Pico cell User Equipment (PUE) in the expansion region. Application/Improvements: Our observations from the simulation experiments demonstrate that the proposed scheme reduces the number of outage UE and increases the number of offloaded UE in Het Net.

Keywords

Cell Range Expansion, Heterogeneous Networks, Intelligent System,Pico Cells, Small Cells

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