Kids are using web more frequently on mobile devices. The need to have mobile compatible web pages and mining the content of the web for these mobile devices is also necessary. Many researchers are focusing the issue. We have tried to elaborate this issue by conducting a detail study on the kids of various schools of Faridabad, tried to understand kids' requirement, their interest on mobile devices, the difficulties they face, parents and the teachers point of view, the various problem associated with kids usage of mobile and above all the role of web content mining in extracting the content from the web using these mobile devices.

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One of the important features of Communication System is to find the Location of a Person. Finding the location of Person is either through Internet or through Mobile Devices. Most of the valuable location-based services are enabled by this feature of Location Tracking. There are various Location technologies which can be used and implemented by telecommunication managers and engineers. The technologies are GPS, GPRS, and WiFi with android operating Systems. Location can also be searched without GPS through Internet. The paper briefly discussed GSM network and cellular data networks from point of view of IP Clients, used for finding location of mobile phone. Further, a paper determined the location through IPaddress, through mobile Number, through SMS, through facebook and also through google latitude. Finally the study compares the result that leads to conclusions and key issues for further research.

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Searching is the important requirement of the web user and results is based on crawler. Users rely on search engines to get desired information in various forms text, images, sound, Video. Search engine gives information on the basis of indexed database and this database is created by the URLs through crawler. Some URLs directly or indirectly leads to same page. Crawling and indexing similar contents URLs implies wastage of resources. Crawler gives such results because of bad crawling algorithm, poor quality Ranking algorithm or low level user experience. The challenge is to remove duplicate results, near duplicate document detection and elimination to improve the performance of any search engine. This paper proposes a Web Crawler which performs crawling in particular category to remove irrelevant URL and implements URL normalization for removing duplicate URLs within particular category. Results are analyzed on the basis of total URL Fetched, Duplicate URLs, and Query execution time.