Volume 3 Issue 2

Authors: Rakesh S; Ashish Arora; Kailash Atal

Abstract: Optical Mark Recognition (OMR) is an automated process of capturing the information, usually in the form of bubbles or squares and analysing the same using complex computations in order to generate specific required knowledge. We propose a cost effective Optical Mark Reader; also the system is independent of color, brightness and illumination thus making the system flexible and robust for practical applications. The various systems available in the current market for the same purpose are costly, working on dedicated scanners and are dependent on a number of other parameters such as paper and print quality. The proposed system consists of an ordinary printer, scanner and a computer to perform computation and is assisted with a graphical user interface. Users can design forms of their choice and use it for survey or other related activities. The filled forms are scanned and scanned images are given as input to a computer, which does the computation and stores the result in a user understandable spreadsheet. The system is independent of hardware and system platform, thereby making it platform independent. The system was tested for over 5000 test forms with cent percent accuracy, thus proving the efficacy of adaptive comparison method of the proposed system. The system has wide range of applications in the field of exam evaluation, automated attendance and surveys.

Keywords: Optical Mark Recognition; Adaptive Threshold; Image Processing; GUI

Doi:10.5963/IJCSAI0302002

Authors: Lunshan Gao

Abstract: This paper describes a relationship between the expected average payoffs of a two-person general-sum game and the fuzzy average of two linguistic values. It is shown that the expected average payoff is identical to the fuzzy average. A new algorithm for calculating mixed Nash equilibriums is introduced by using this concept. The new algorithm simplifies the process of finding mixed Nash equilibriums of two-person general-sum games to solving linear equations.

Keywords: Two-Person General-Sum Game; Mixed Nash Equilibrium; Expected Average Payoff; Linguistic Variable; The Fuzzy Average; Triangular Fuzzy Number; Consequence Matrix

Doi:10.5963/IJCSAI0302006

Authors: Norifumi Hirata; Shun Shiramatsu; Tadachika Ozono; Toramatsu Shintani

Abstract: We introduce a system that aims to improve understanding of an event that appears on news and microblogs. In order to identify an event that a user is interested in, a user gives a system a URL of browsing news page. A system has two kinds of agents. One is a news agent to extract relevant news articles and the other is a microblog agent to extract related microblogs. A news agent extracts news articles that represent the same event as a browsing news article. A microblog agent extracts related microblogs from news articles. A microblog agent uses news URL references and a similarity between a news article and a microblog. As the result of experiment, tweets that are collected using our proposed method were 300 times more than tweets using a primitive method. We confirmed that a user could obtain more related tweets using our proposed system.

Keywords: News Article; Microblog; Event

Doi:10.5963/IJCSAI0302003

Authors: Lung-Jen Wang; Ya-Chun Huang

Abstract: Opportunity cost is a wide known theory in economics. The principle of opportunity cost and an effective image classification are utilized to decide the most suitable combination of clipping and scaling parameters in the nonlinear image enhancement method for various blurred images. It is also shown that this new image classification and opportunity cost for the nonlinear image enhancement method obtains a better subjective and objective performance than other nonlinear image enhancement methods for image quality.

Keywords: Opportunity Cost; Image Classification; Nonlinear Image Enhancement

Doi:10.5963/IJCSAI0302001