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The amount of information is expanding exponentially therefore it is very important to develop an efficient and unique way to retrieve them in an effective manner. It is extremely challenging to locate and retrieve significant data from these files or documents due to their nature, rapid speed of expansion, and scattered character. This research speaks about the insertion of incoming data followed by indexing of its contents. Lucene is responsible for document indexing when the search engine is coupled using the specified database or file system.

A hot rolled strip produced by any integrated steel plant would require satisfying some stringent requirements of its surface profile. Crown and Flatness are two industrially accepted quantifiers that relate to the geometric tolerances in the rolled strips. This study attempts to regulate both crown and flatness within an acceptable limit, satisfying more than one objective at a time. Mathematically, this leads to a multi-objective optimization problem where the solution is no longer unique and a family of equally feasible solutions leads to the so called Pareto-Front, where each member is simply as good as the others. To implement this concept in the present context, one needs to realize that the surface deformation, which is ultimately imparted to the rolled sheets, comes from more than one source. The wear of the rolls, their thermal expansion, bending, and also deformation, contribute significantly towards the crown and flatness that is ultimately observed. During this study a detailed mathematical model has been worked out for this process incorporating all of these phenomena. Computation for the Pareto-optimality has been carried out using different forms of biologically inspired Genetic Algorithms, often integrated with an Ant Colony Optimization Scheme. Ultimately the model has been fine tuned for the hot rolling practice in a major integrated steel plant and tested against their actual operational data.

Aim: The main purpose of this study is to determine the dimensional accuracy of digital models as compared to that of study models and the reliability of electronic surveying. The study aims to measure and compare distances between selected landmarks on study models and digital models, angles of cervical convergence and undercut depth at predetermined points on the abutment teeth. Material and Methods: The study used partially edentulous study models of each of Kennedy's class I, II and III classifications. All the three models were scanned using multislice helical computerized tomography (CT) scan and digitized on the computer. The physical model and digitized models were surveyed and measured using various parameters and study designs. Measurements were conducted directly on study models and computer models using Altair Hyper mesh network version 7.0. The differences between the two sets of measurement were statistically analyzed using a suitable method. (t- Test). Results: The differences between measurement of distance on study models and digital models were found to be within the precision of 0.17mm, 0.08, o for the angle of cervical convergence and precision of 0.04mm for undercut depth of the abutment teeth. All these measurements were statistically slightly significant and well within the range of intraoperator variations. Conclusion: This study shows that dental cast can be scanned with the help of an accurate and sophisticated scanner and the scanned data can be transferred to the computer and used for the purpose of digital or electronic surveying.