The Membrane-Computing-Based Automatic Online Marking-Management Model and its Application

Abstract:

The online marking system, which can improve the marking speed and quality, is widely applied in large-scale standardized tests. The P system had great parallelism is applied in the engineering systems just beginning. In this paper, an automatic online marking-management model (AOMMM) based on membrane computing is constructed, which can find marker had quality problems and remind the markers and the leader automatically. According to the basal rules of membrane computing, the management rules of the proposed AOMMM are designed. Through the analysis of the computational time complexity of the proposed model, we find that only three steps (O (1)) are needed to complete the feedback operation. Experimental result shows that the proposed model is appropriate for online marking management. With benefiting from the advantage of membrane system, the proposed OMMAM implements automatic and real time feedback operation.Key-Words: -standardized tests; online marking; error; control; membrane computing; P system; management automation; membrane system

• Periodical: Advanced Materials Research (Volumes 1079-1080)
• Pages: 1245-1252
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1079-1080.1245
• Online since: December 2014
• Authors: Yu Zhen Zhao, Xi Yu Liu, Wen Ping Wang
• Keywords: Control, Error, Management Automation, Membrane Computing, Membrane System, Online Marking, P System, Standardized Tests

References

[1] Cai Wei and Lou Qinghua, Study of Error Control in Online Marking of Compositions in College Entrance Examination, entrance exam in Hubei, No. 12, 2008, pp.

[2] Zhang Changying, The Methods and Implementation of Error Control in Online Marking of the University Entrance Exam, Exploration of higher education, No. 3, 2003, pp.77-79.

[3] Hu Tang, The research and practice of the subjective questions marking error control in the university entrance exam, J. of Henan Univ. (Soc. Sci. ), Vol. 36, No. 4, Jul. 1996, pp.31-35.

[4] Fan Peng and Zhang Jinghua, The study of error control of online marking in arge-scale standardized tests, China Education of Light Industry, No. 1, 2012, pp.88-91.

[5] Zhao Shiming, Error Control in the Paper-free Scoring for Essays, Journal of Henan University (Social Science), Vol. 47, No. 1, 2007, pp.155-158.

[6] Lou Qinghua, A Research in Scoring Error Control of the College Entrance Examination Composition Papers, Zhejiang Normal Univ., Hangzhou, China, (2007).

[7] G. Paun. A quick introduction to membrane computing, The Journal of Logic and Algebraic Programming. J., Vol. 79, p.291–294, (2010).

[8] R. Freund, M. Oswald and G. Paun. Catalytic and Purely Catalytic P system and P Automata: Control Mechnisms for Obtaining Computational Completeness. 14th International Conference, CMC14, pp.317-320, (2013).

DOI: 10.3233/fi-2015-1144

[9] R. Freund, L. Kari, M. Oswald and P. Sosik. Computationally universal P systems without priorities: two catalysts are sufficient. Theoretical Computer Science. J, Vol. 330, No. 2, pp.251-266, (2005).

DOI: 10.1016/j.tcs.2004.06.029

[10] G. Paun, G. Rozenberg and A. Salomaa. The Oxford Handbook of Membrane Computing. Oxford University Press, (2010).

[11] G. Paun and R. Paun, Membrane computing and economics: Numerical P systems. Fundamenta Informaticae. J, Vol. 73, No. 1, pp.213-227, (2006).

[12] A. Pavel, O. Arsene and C. Buiu. Enzymatic numerical P systems-a new class of membrane computing systems. Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on. IEEE, pp.1331-1336, (2010).

DOI: 10.1109/bicta.2010.5645071

[13] R. Barbuti, A. Maggiolo-Schettini, P. Milazzo, G. Pardini and L. Tesei. Spatial P systems. Natural Computing. J, Vol. 10, No. 1, pp.3-16, (2011).

DOI: 10.1007/s11047-010-9187-z

[14] S. Verlan. Using the Formal Framework for P Systems. 14th International Conference, CMC14, pp.37-38, (2013).

[15] M. Gheorghe and F. Ipate. Kernel P Systems - A Survey. 14th International Conference, CMC14, pp.9-10, (2013).

[16] Z. Gazdag. Solving SAT by P Systems with Active Membranes in Linear Time in the Number of Variables. 14th International Conference, CMC14, pp.167-180, (2013).

[17] L. Cienciala, L. Ciencialova and M. Langer. Modelling of Surface Runoff using 2D P colonies. 14th International Conference, CMC14, pp.81-94, (2013).

[18] I.T. Banu-Demergian and G. Stefanescu. The Geometric Membrane Structure of Finite Interactive Systems Scenarios. 14th International Conference, CMC14, pp.63-80, (2013).

[19] S. Jie and X. Y. Liu. Density-Based Clustering by P System with Active Membranes on Commodity Recommendation in E-commerce Websites. WSEAS Transactions on Computers, v 13, pp.20-33, (2014).

[20] G. X. Zhang and L. Q. Pan, A survey of membrane computing as a new branch of natural computing, Chinese journal of computers, Vol. 33, No. 2, 2010, pp.208-214.

DOI: 10.3724/sp.j.1016.2010.00208

[21] G. Paun, Computing with Membranes, Journal of Computer and System Sciences, Vol. 61, No. 1, 2000, pp.108-143.

[22] T. Song, Evaluation System and Model of Markers marking quality on Online marking, CAT. Dissertation, Dept. Computer Application Technology, Henan Univ., Hnan, China, (2010).

[23] P. Fan and J.H. Zhang, The study of error control of online marking in arge-scale standardized tests, China Education of Light Industry, No. 1, 2012, pp.88-91.