Did you mean: MICROSOFT OFFICE 2000 MS WORD MS EXCEL MICROSOFT EXCEL 2000 MICROSOFT WORD 2000 MS WORD 2000 MICROSOFT WORD 7.0A MS WORD 7.0A MS OFFICE 2000 PUBLISHER 2000 FRONT PAGE 2000 PHOTODRAW 2000 ACCESS 2000 OUTLOOK 2000 POWERPOINT 2000 EXCEL 2000 WORD 2000 WINDOWS 95 WINDOWS 98 WINDOWS NT 4.0 MS-MECH-84 MSTHESIS ABSTRACT. Reconfigurable Manufacturing Systems (RMS) effectively respond to fluctuating market needs and customer demands for finished product. Diagnosability is a supporting characteristic of RMS that has a say in the quality of finished product. Cost and time taken for manufacturing are also considerably affected if proper diagnosability measures are not taken. Previous studies on Diagnosability of RMS have been studied from Axiomatic System Theory as such Design For Diagnosability (DFD). Nevertheless Diagnosability remains to be the least studied characteristic of RMS. With the availability of digitized data, Machine Learning approaches to advance manufacturing have proven to be considerably effective. A research gap existed for the application of Machine Learning techniques in improving the Diagnosability of RMS. A framework of Machine Learning has been proposed to address this gap. The working of the framework has been illustrated by two demonstrations from the available datasets, one in identifying proper signals in semi-conductor manufacturing to predict excursions, and the second in predicting machine failures due to a variety of factors. The framework is rendered in a concurrent-engineering fashion. The framework is tested against two available manufacturing datasets. Increase in Diagnosability will decrease the cost and time taken to production. Key Words: Reconfigurable Manufacturing Systems, Machine Learning, Artificial Intelligence, Preventive Maintenance, Intelligent Manufacturing MS-CSE-15 MSTHESIS ABSTRACT. The use of web and mobile applications is growing very rapidly in the modern era. Due to high end demand of such applications, the software stakeholders want the applications to be available on both mobile and web. In software industry this requires more efforts to develop applications for both mobile and web. Consequently, more resources with different technology experts are needed for the development of multiplatform applications. The software engineers always look for time saving and robust methodology for good, quick and qualitative software development. Web and mobile applications usually composed of three layers i.e. application, business and data. Application layer deals with the UI related concepts that run on browser. On the other hand, business layer deals with the business logic that is usually implemented on server side. Finally, data layer deals the data access from database. We have performed the literature review in which we found that a methodology is needed where the software engineers can generate scaffolding code for the data and presentation layers considering the modern development technologies of hybrid (ionic) and web apps (angular). Normally in software industry, the system analysts design the class diagram and is handled over to the software developers. The developers start writing code in client side technology, server side technology and also generate database according to the class diagram. We have proposed the model-based methodology for the development of applications for both mobile and web applications, because, Model Driven Architecture (MDA) is renowned software design approach in software industry that make the software development very rapid and consistent. MDA facilitate the development of multiplatform applications from one UML diagram. Specifically, by applying the principle of "Run everywhere after develop once", we have designed a profile which have data types and stereotypes of model, class and property meta-class. We have generated the code from class diagram by Acceleo. Our methodology is validated by two case studies demonstrating that the idea is workable. Moreover, one empirical case study was given to 12 industry professional, for evaluating the saving of development effort using the proposed methodology. We found that the proposed approach reduced the amount of effort significantly. Key Words: Hybrid App, Web App, Model-Based Scaffolding, CRUD, MDA, Web service MS-COMPUTER ENGINEERING-2017 MSTHESIS ABSTRACT. The use and vast implementation of Discrete Fourier Transform has revolutionized the world and allowed the researchers to think of the modern world from a different perspective. The discovery of Fast Fourier Transform has laid the foundation of an entirely new dimension to the modern world. Keeping in view its utmost importance in the future industry researchers tried to design its hardware architecture as per the requirement of the application. Several architectures have been proposed time to time with new inventions in the previous designs. Some architectures consider clock rate, some take architectural area into consideration, some focuses on parallel execution of the algorithm, so on and so forth. Considering all these inputs to the industry that has been a part to modern world time to time, this research presents an empirical model based upon the optimal architectures for Fast Fourier Transform algorithm for n-bits m-points input. This empirical model is obtained by making several architectures and their respective characteristics are obtained. The data obtained is then passed through a machine learning algorithm known as Regression Algorithm. Linear, quadratic and cubic regression technique is applied to achieve the hierarchy of the designed architectural parameters and this intern will provide us with the empirical models of the architecture. This model will provide us with the specifications of the futuristic architecture that mainly depends upon the one's requirement i.e. either one considers a single parameter or a tradeoff between different hardware parameters. The parameters that are mainly considered are number of Slice LUT's, LUT FF Pairs, clock rate, number of processing elements and number of clock cycles required. This proposed methodology can be applied to any hardware architectural designs for analysis and generation of empirical models. Key Words: Discrete Fourier Transform, Fast Fourier Transform, Processing Element, Butterfly Architecture, n Radix FFT, Permutation Matrix, Kronecker Product