This paper introduces a novel approach for word segmentation in OCR system. Segmentation is one of the substantial subprocesses of the OCR system. The meaning of the word can be changed if segmented word is not correct. An approach of segmentation is formulated in which textual area of image is crimped as one large window .Then large window is divided into small windows of different lines and words are segmented out of each line as sub windows to each small window. Then characters are segmented from sub-windows for recognition. The proposed word segmentation technique works efficiently for variable word spaces.

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The research in Software Testing accumulate large amount of data. As the software technology more advanced day by day, the complexity of software is increasing. Software testing is costly and time consuming process in software development life cycle. Software developer faces many problem when create test cases because if any inaccurate or incomplete step follow during create test cases then it give application failure report to user. There are different software testing techniques and new technologies available to solve the bugs in software. Automated testing solves the bugs in few seconds as compared to manual testing. M anual testing process very slow because many logs and debug points used by user to find bugs in software. M any tools are available for automated test case generation. The main purpose of this paper how do automatic testing with silk tool. Silk testing is a new way to create test cases. Silk testing support to web applications and java based applications and traditional client server based applications. Silk testing uses any browser to execute the report of test cases. With the help of test cases it is easy to find the faults in software. The research work of this paper is when user selects objects as they navigate through the application then side by side objects records with the help of silk testing. After all steps of application are completed then press the play button. It highlights all the objects or paths you follow in the application. Silk testing is related with real world example like song record and then play.

Abstract-Mobile ad hoc networks (MANET) have emerged as an important field in the wireless area. Due to its dynamic nature, a primary challenge of MANET is the design of effective routing algorithm that can adapt its behavior to frequent and rapid changes in the network. This paper presents a novel scheme for MANET routing enhancement called Intelligent Ant sense (INTANTSENSE) protocol based on ant colony optimization. It utilizes a collection of mobile agents to perform optimal routing activities. By combining the capability of reactive routing with distributed and multipath routing mechanism, Intelligent Ant Sense routing compared with AODV protocol using network simulator-2 (NS-2).INTANTSENSE protocol utilizing the benefits of pheromones, third party reply model and ring search model, to enable optimal path routing, fast route discovery and effective Sense routing route failure handling.

Wireless Sensor Network which works in three phases. These three phases plays an important role in utilizing the available free spaces of the neighbored nodes and free routing paths to accommodate the load of Congestion Affected Node's. This Routing Algorithm is implemented in NS-2 where the results show that such an algorithm improves the performance, efficiency of the network by decreasing end to end delay and increasing both the throughput and packet delivery fraction among the nodes.