INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.7, No.11, Oct. 2015

Development of System for Automated & Secure Generation of Content (ASCGS)

Full Text (PDF, 616KB), PP.81-88


Views:73   Downloads:1

Author(s)

Sandeep Singh Yadav, Mandeep Singh Yadav

Index Terms

Automation;Secure;Randomization;Aptitude Test;Manual

Abstract

Automation of manual work and systems is a vast growing trend as it brings in efficiency and quality in work. Online and offline aptitude exams are conducted by organizations and institutions for accessing the skills of students. An aptitude test is an effective method for testing the students however the creation of database for conducting aptitude tests is an uphill task, because the organization has to maintain to a very large database consisting of thousands of questions and the content has to be changed periodically to avoid repeating of questions. An Automated & Secure Content Generation System (ASCGS) is a framework that provides automated creation of aptitude questions by converting a single of type of question into multiple questions by altering its variables. Also the system automates the process of calculating the answer for every question by using its formula. Security in the system is provided by the means of encryption. The present system lags in many perspectives like every question in has to be created manually and also the answer for the question has to be computed manually. Since the entire work is being done manually so there is a high risk that some questions may contain error due to human fault and also the cost and effort required to create the content is large. The proposed system overcomes these shortcomings of the existing system as only one format is required to be created for one type of question thus saving time and human effort. Also it is no longer required to do mathematical calculation manually as it is done by the system, the user has to insert only the formula. The present system requires the organization very long time ranging from few weeks to few months for generating ten thousand questions. With the new system the same work can be done within few days time and with minimal cost. With the development of the system organizations will be relieved from the tedious work of content creation and also management of content will become easier and efficient. The software will enable the institutions to create aptitude questions of different levels thus enabling the institute to conduct aptitude tests for all the students of different classes based on their levels.

Cite This Paper

Sandeep Singh Yadav, Mandeep Singh Yadav,"Development of System for Automated & Secure Generation of Content (ASCGS)", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.11, pp.81-88, 2015. DOI: 10.5815/ijitcs.2015.11.10

Reference

[1]Guzman, E.; Conejo, R., “Self-Assessment in a Feasible, Adaptive Web-based Testing System”, IEEE Trans. Education, vol.48, no.4, 2005, pp. 688-695.

[2]Guang Cena; Yuxiao Dong; Wanlin Gao; Lina Yu; Simon See; Qing Wang; YingYang; Hongbiao Jiang, “Implementation of an Automatic Examination Paper Generation System”, Mathematical and Computer Modelling, vol. 51, 2010, pp. 1339–1342.

[3]Christopher J. Sangwin, “Implementing Computer Algebra Enabled Questions for the Assessment & Learning of Mathematics”, International Journal of Technology in Mathematics Education, vol. 15 no. 1, 2008, pp. 3-18.

[4]Chen Yuan-Bin; Dai Jie, "Design on Algorithm of Automatic Test Papers Generation for Examination System of Electric Energy Measurement", Proceedings of the IEEE Int’l Conference on Computer Science & Service System, Nanjing, Jiangsu, China, 2012, pp. 1397-1400.

[5]Dan Liu; Jianmin Wang; Lijuan Zheng, “Automatic Test Paper Generation Based on Ant Colony Algorithm”, Journal of Software, vol. 8, no. 10, 2013, pp. 2600-2606.

[6]Kohilavani S; Mala T; Geetha T V, "Automatic Tamil Content Generation", Proceedings of the IEEE Int’l Conference on Intelligent Agent & Multi-Agent Systems, Chennai, Tamil Nadu, Bharat, 2009, pp. 1-6.

[7]Yuguang Huang; Lei Li, "Naive Bayes Classification Algorithm Based on Small Sample Set", Proceedings of the IEEE Int’l Conference on Cloud Computing and Intelligence Systems (CCIS), Beijing, China, 2011, pp. 34-39.

[8]Martinez-Arroyo M.; Sucar L.E., "Learning an Optimal Naive Bayes Classifier," Proceedings of the 18th International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006, vol. 3, pp. 1236-1239.

[9]Wang Hairui; Wang Hua, "Research and Implementation of Multi-agent Based Test Paper Generation Algorithm", Proceedings of the IEEE Int’l Conference on Computer Science & Software Engineering, Wuhan, Hubei, China, 2008, pp. 493-496.

[10]Anthony J. DolRocco; Sally A. Chambless, "Automated Content Generation", US Patent 8,798,989 B2, Aug. 5, 2014.

[11]Qian Huang; Zhu Liu; Rosenberg A.; Gibbon D.; Shahraray B., "Automated Generation of News Content Hierarchy by Integrating Audio, Video, and Text Information", Proceedings of the IEEE Int'l Conference on Acoustics, Speech, and Signal Processing, Phoenix, Arizona, USA, vol.6, 1999, pp. 3025-3028.

[12]Ge Guo; Jin Jin; Xijian Ping; Tao Zhang, "Automatic Video Text Localization and Recognition, "Proceedings of the Fourth International Conference on Image and Graphics, Sichuan, Chengdu, Tibet, 2007, pp. 484-489.

[13]Do Van Nhon, “Constructing Intelligent Systems For Computation – Research A now Development of Knowledge Representation Models To Design Systems for Automated Solving Problems”, PhD. thesis, National University of Ho Chi Minh City, Vietnam, 2001-2002.

[14]Yang Yu, Hongyan Wang, “Adaptive Online Exam Questions Based on Systematic Analysis and Design”, Wuhan University of Technology, vol. 4, 2008, pp. 30-35.

[15]Wang Yu-Ying; HOU Shuang; GUO Mao-zu, “Algorithm for Automatic Test Paper Generation”, Journal of Harbin Institute of Technology. 2003, pp. 342-346.