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A Semi Automatic System for Procurement Continues Speech Corpus with Using Human Computing
, M.Sc. Thesis Sharif University of Technology ; Abolhassani, Hassan (Supervisor)
Abstract
Semi-automated Continuous Speech system deals with collecting corpus speech. It has very different problems in various natural languages because of different types of speech, and collecting speech corpus containing continuous word is very time-and- cost consuming. To overcome this problem, human-based computing techniques are proposed to collect speech corpus. In this thesis, we describe influencing factors in collecting steps of continuous speech and provide a description of human-based techniques to solve problems specially collecting of continuous speech. To collect speech corpus using human-based techniques, a game has been used so that speech corpus of web users are collected during the...
Science from Ali Shariati’s Viewpoint
, M.Sc. Thesis Sharif University of Technology ; Miri, Javad (Supervisor)
Abstract
In this thesis, I have reviewed some attempts for understanding Shariati’s view point about science. Then, I have gathered Shariati’s opinion about science. Some issues like, scientific method, Hellenization of science, philosophical thought about science, comparision between human science and experimental science in method and credibility and researcher’s role in science have been discussed. Also scientism, its causes and criticism, the differences between science and scientism is a part of this thesis. New scholastic in the meaning of slavery of science in the hands of capitalism and the relation between science and capitalism, materialism and religion and the fact that science and...
Real estate market-based optimization algorithm (remark): a market-inspired metaheuristic optimization algorithm based on the law of supply and demand
, Article Journal of Ambient Intelligence and Humanized Computing ; 2022 ; 18685137 (ISSN) ; Eqra, N ; Bighashdel, A ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
In this work, a metaheuristic optimization algorithm is developed based on the idea of interaction between the demanders and the suppliers in the real estate market. After reviewing the basic theory behind the idea, the working principles of the algorithm are developed and explained in details. The proposed framework yields the exploration and exploitation ability of the algorithm and also leads the algorithm to converge to the global maxima. In order to test the performance of the algorithm, 23 well-known benchmark functions of different characteristics are selected from the literature and the results are compared with seven metaheuristic algorithms. The algorithm is also evaluated on two...
Software Test Data Generation Using Genetic Algorithms
, M.Sc. Thesis Sharif University of Technology ; Mahdavi Amiri, Nezameddin (Supervisor)
Abstract
In software testing, it is often desirable to find test inputs that exercise specific program features. Good testing means uncovering as many faults as possible with a potent set of tests. Thus, a test series that has the potential to uncover many faults is better than one that can only uncover a few. To find these inputs by hand is extremely time-consuming, especially when the software is complex. Therefore, many attempts have been made to automate the process. There are three major methods to generate software test data: Random test data generation, Symbolic test data generation and Dynamic test data generation. Dynamic test data generation, such as those using genetic algorithms, is...