Informatics Publishing Limited

Chhaya Varade ¹, Bhupesh Gour ², Asif Ullah Khan ³, Shailendra Jain ³

Affiliations
1 C.S.E., Technocrats Institute of Technology, Bhopal, M.P., IN
2 Dept. of C.S.E., Technocrats Institute of Technology, Bhopal, M.P., IN
3 Dept of C.S.E., Technocrats Institute of Technology, Bhopal, M.P., IN

Abstract

Given the rapid growth and success of public information sources on the World Wide Web, it is increasingly attractive to extract data from these sources and make it available for further processing by end users and application programs. Data extracted from Web sites can serve as the springboard for a variety of tasks, including information retrieval (e.g. business intelligence), event monitoring (news and stock market), and electronic commerce (shopping comparison). Extracting structured data from Web sites is not a trivial task. Most of the information on the Web today is in the form of Hypertext Markup Language (HTML) documents which are viewed by humans with a browser. A sophisticated method to organize the layout of the information and assist user navigation is therefore particularly important. Data Extraction is the process of retrieving data out of data sources further data processing. Online data exists in the form of a web record. Depending on the end user query, the query results are generated by web databases and from this query results pages. The main objective of this paper is to extract and align important data from different domains with the help of HTML tags and its value. After extracting data, Self Organizing Map (SOM) will classify the extracted data from different domains in the form of clusters. Clustering is the process of grouping physical or abstract objects into classes of similar objects.

Keywords

Data Extraction, Data Record Alignment, Clustering, QRR, SOM.

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Rekha Agrawal ¹, Shailendra Jain ²

Affiliations
1 Student, EE Department, MANIT, Bhopal (M.P.) 462003, IN
2 Professor, EE Department, MANIT, Bhopal (M.P.) 462003, IN

Abstract

Currently, high frequency transformer for power MLIs is used for renewable energy interfacing applications. With the advancement in magnetic materials properties have led to the development of high frequency transformers for converters. Recently high frequency based magnetic material offers high saturation flux density and low core losses, used for designing of compact, light weight and efficient transformers. However, the designing of magnetic material is based on electro-magnetic concepts. So here, electro magnetic based software "ANSYS-Maxwell^TM" is used to design a high frequency transformer in 2-D geometry. The design methodology is illustrated to optimize it with minimum core losses, copper losses in the high frequency transformer.

Keywords

Multi Level Inverter (MLI), high frequency magnetic link, ANSYS-Maxwell^TM software.

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