Earticle

Mobile Phone based Information Management in Wireless Sensor Network is a heuristic approach where mobile phone will be the main access point of information in Wireless Sensor Network. The system will be as simple as possible providing all the facilities those are available in internet while managing information regarding this. A wireless mesh network furnishes the WSN and the mobile phones are going to be the nodes of this network. Here, any standard mobile phone(supporting Java applications) will be used as any nodes of this WSN and a single phone will be enough to send or retrieve remote data rather information through this WSN. Not only the queries of mobile user, some predefined activities i.e., proactive message passing based on situations (especially error messages or warning messages after sensing the system environment) can also be available in this system. A simple user friendly GUI is implemented for user who will avail this facility from his/her mobile phone after logging in successfully. There is a server to authenticate the logged in user, listen to the requests submitted by user and respond them accordingly. The user has two choices using which he/she can get the required information namely (i) get the reports regarding all/individual tags and or routes, sensors, emergency messages and also the location information; (ii) send actuation command to the server so that based on the command, proper measure(s) can be taken at server side. The user can see the report in their phone’s display screen. All that a user rather a remote client has to do is to install the software into his/her mobile phone and must enable the WLAN connection in the phone. And the most important thing is that user must have a valid user account. Otherwise he/she is not going to avail this facility to get information anywhere, anytime which is the main objective of our approach.

This paper is meant for an easy approach for XML ifying of crude corpus in the field of Opinion Mining. The XMLification is done based on regular expressions. Corpus is the plural form of ‘corpora’. It is nothing but the collection of linguistic data. In this proposed work, the corpus is reviews posted on web sites; more specifically some product reviews. The reviews or the opinions are in the html files which are collected from sites like Cnet.com, Epinions.com, Amazon.com, ebay.com etc. After getting the crude corpus of html files, it is polished further to get only the required part of review details from that web page and thus removes the rest. This corpus is processed again and yields ultimate output in the form of XML files which contains only the important parts of the review details from raw html page. These XML files are ready to be used for further steps of Opinion Mining like parts of Speech(POS) tagging or any kind of language processes for machine learning process.

Generally speaking, genetic algorithms are simulations of evolution, of what kind ever. In most cases, however, genetic algorithms are nothing else than probabilistic optimization methods which are based on the principles of evolution. This tutorial covers application oriented study of genetic algorithms as in the case of Eye Location Using Genetic Algorithm; Using simulation and Genetic Algorithms to improve cluster tool performance; Mooring Pattern Optimization using Genetic Algorithms. This tutorial is designed to cover a few important applicational aspects of genetic algorithm under a single umbrella.

Green Computing is now under the attention of not only environmental organizations, but also businesses from other industries. In recent years, companies in the computer industry have come to realize that going green is in their best interest, both in terms of public relations and reduced costs. This paper will take a look at several green initiatives currently under way in the computer industry.