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Article

Progressive Review and Analytical Approach for Optimal Solution of Stochastic Transportation Problems (STP) Involving Multi-Choice Cost

1Department of Mathematics & Statistics, School of Science & Technology, The University of Fiji, Fiji Islands

2Vision Institute of Technology, U.P. Technical University, India

3SUNY, Korea & Ex Vice-Chancellor, Avadh University, India

4Department of Operations Research, University of Delhi, India

5Department of Electronics & Communication Engineering Lucknow Institute of Technology, U.P. Technical University, India


American Journal of Modeling and Optimization. 2014, 2(3), 77-83
DOI: 10.12691/ajmo-2-3-3
Copyright © 2014 Science and Education Publishing

Cite this paper:
Vishwa Nath Maurya, Ram Bilas Misra, Chandra K. Jaggi, Avadhesh Kumar Maurya. Progressive Review and Analytical Approach for Optimal Solution of Stochastic Transportation Problems (STP) Involving Multi-Choice Cost. American Journal of Modeling and Optimization. 2014; 2(3):77-83. doi: 10.12691/ajmo-2-3-3.

Correspondence to: Vishwa  Nath Maurya, Department of Mathematics & Statistics, School of Science & Technology, The University of Fiji, Fiji Islands. Email: prof.drvnmaurya@gmail.com

Abstract

In this paper some general transportation models have been discussed and particularly a multi-choice cost stochastic transportation problem (STP) has been reviewed in the light of progressive research works of previous noteworthy researchers. In addition, an analytical approach for the optimal solution (OS) of the proposed stochastic transportation problem has been demonstrated. The analytical method proposed by us is not only heuristic but also a generalization in threefold. We remark here that some unnecessary complications involved previously have been removed in our proposed method. Finally, by way of demonstrating a numerical illustration some significant conclusive observations have also been drawn in order to highlight the threefold feature.

Keywords

References

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Article

mHealth: A Sustainable Healthcare Model for Developing World

1Department of Biochemistry and Molecular Biology, Jahangirnagar Universtity, Savar, Dhaka, Bangladesh

2Department of Computer Science and Engineering, Jahangirnagar Universtity, Savar, Dhaka, Bangladesh


American Journal of Modeling and Optimization. 2014, 2(3), 73-76
DOI: 10.12691/ajmo-2-3-2
Copyright © 2014 Science and Education Publishing

Cite this paper:
Sharmin Jahan, M. Mozammel Hoque Chowdhury. mHealth: A Sustainable Healthcare Model for Developing World. American Journal of Modeling and Optimization. 2014; 2(3):73-76. doi: 10.12691/ajmo-2-3-2.

Correspondence to: M.  Mozammel Hoque Chowdhury, Department of Computer Science and Engineering, Jahangirnagar Universtity, Savar, Dhaka, Bangladesh. Email: mozammel_ju@yahoo.com

Abstract

Health is a basic requirement to improve the quality of life. Providing effective health care is an essential component towards the social and economic development of a country. A large number of people in the developing countries, particularly in rural and remote areas, remained with no or little access to health care facilities. However, recent emergence of mobile communication technologies could play in improving healthcare services. There is a great potential in using mHealth as one of the supportive systems within the healthcare sector to solve the inequalities in healthcare delivery between rural and urban hospitals. This research aims to evaluate the potentialities, issues and challenges of developing mobile healthcare system in the developing world. We have proposed a potential mHealth model based on mobile telecommunication networks. This research offers a set of guidelines to aid the implementation of a successful mobile healthcare system.

Keywords

References

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Article

A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering

1Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh


American Journal of Modeling and Optimization. 2014, 2(3), 69-72
DOI: 10.12691/ajmo-2-3-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
M. Mozammel Hoque Chowdhury. A Robust De-Noising Model for Image Enhancement with Adaptive Median Filtering. American Journal of Modeling and Optimization. 2014; 2(3):69-72. doi: 10.12691/ajmo-2-3-1.

Correspondence to: M.  Mozammel Hoque Chowdhury, Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. Email: mozammel_ju@yahoo.com

Abstract

This paper presents a robust de-noising model for image enhancement using adaptive median filtering. In this approach image noise is detected with a standard median filter using an adaptive window. Within the window, the original value of the center pixel is changed to a newer that is closer to or same as the standard median. A comparison has been arranged among the proposed method, the standard median (SM) filter and the center weighted median (CWM) filter, which proves the superiority of the proposed filtering method.

Keywords

References

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