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Implementation of Decision Support System (DSS) through the Integration of Commercial Remote Sensing (CRS), Model-View-Controller (MVC) Architecture and Object-Relational Mapping (ORM)

by Scott O'connor, Ramprasad Balasubramanian
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 16
Year of Publication: 2013
Authors: Scott O'connor, Ramprasad Balasubramanian
10.5120/14662-2970

Scott O'connor, Ramprasad Balasubramanian . Implementation of Decision Support System (DSS) through the Integration of Commercial Remote Sensing (CRS), Model-View-Controller (MVC) Architecture and Object-Relational Mapping (ORM). International Journal of Computer Applications. 84, 16 ( December 2013), 28-35. DOI=10.5120/14662-2970

@article{ 10.5120/14662-2970,
author = { Scott O'connor, Ramprasad Balasubramanian },
title = { Implementation of Decision Support System (DSS) through the Integration of Commercial Remote Sensing (CRS), Model-View-Controller (MVC) Architecture and Object-Relational Mapping (ORM) },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 16 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number16/14662-2970/ },
doi = { 10.5120/14662-2970 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:05.541170+05:30
%A Scott O'connor
%A Ramprasad Balasubramanian
%T Implementation of Decision Support System (DSS) through the Integration of Commercial Remote Sensing (CRS), Model-View-Controller (MVC) Architecture and Object-Relational Mapping (ORM)
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 16
%P 28-35
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to aid in the processes of data collection, interpolation, analysis, and predictive model development the integration of commercial remote sensing and spatial information technologies (CRS&SI) with object oriented modeling (OOM) using the model view controller architecture (MVC) has been applied. A Decision Support System (DSS) application that uses CRS&SI for collecting atmospheric, subsurface, and predicted weather data, is used to compare, interpolate, measure, predict, and determines the depth of frost and thaw penetration into the subsurface of roadways across New England, This process is used in order to guide State Departments of Transportation (DOT) in determining when to impose Seasonal Load Restrictions (SLR). Seasonal load restrictions limit the travel of heavy trucks on certain roads such that state DOT's can limit the damage to the roadway surface. The implemented DSS consists of a web based front end graphical user interface (GUI) that leverages popular web based technologies, programming interfaces, data collection scripts, data evaluation scripts, data interpolation scripts, predictive modeling, and a centralized database. The database was developed for storing newly collected, historic, and predicted data. This paper includes the description of the general purpose and use of the system and a discussion regarding the architecture, individual components, interactions, and a description of the sequence of events for data collection, processing, prediction, and interpolation.

References
  1. Minnesota Dept. of Transportation, Policy, Safety & Strategic Initiatives Division Technical Memorandum No 09-09- MAT-02, dotapp7. dot. state. mn. us/edms/download?docId=740964 (accessed March 2010), 2009.
  2. Ovik, J. M. , J. A. Siekmeier, and D. A. Van Deusen, Improved Spring Load Restriction Guidelines Using Mechanistic Analysis, Technical Report, Minnesota Department of Transportation, 2000.
  3. Embacher, R. , "Duration of Spring Thaw Recovery for Aggregate-Surfaced Roads," Transportation Research Record: Journal of the Transportation Research Board No 1967, pp. 27-35, Transportation Research Board of the National Academies, Washington D. C. , 2006.
  4. Hanek, G. , M. Truebe, and M. A. Kestler, Using Time Domain Reflectometry (TDR) and Radio Frequency (RF) Devices to Monitor Seasonal Moisture Variation in Forest Road Subgrade and Base Materials, U. S. Department of Agriculture, Forest Service, San Dimas Technology and Development Center, San Dimas, CA, 2001.
  5. Marquis, B. , Mechanistic Approach to Determine Spring Load Restrictions in Maine, Technical Report No. 08-1, Maine Department of Transportation, Bangor, Maine, 2008.
  6. Eaton, R. A. , M. A. Kestler, and A. Hall, Spring Thaw Predictor & Development of Real Time Spring Load Restrictions, First Two-Year Data Report, SP&R Research Project No. 14282K, New Hampshire Department of Transportation, Concord, NH, 2009.
  7. Eaton, R. A. and M. A. Kestler, Spring Thaw Predictor & Development of Real Time Spring Load Restrictions, Third Year Data Report, SP&R Research Project No. 14282K, New Hampshire Department of Transportation, Concord, NH, 2009.
  8. Eaton, R. A. , M. A. Kestler, and A. Hall, Spring Thaw Prediction & Development of Real Time Spring Load Restrictions, Report currently in draft, April 2010.
  9. Eaton, R. A. , A. Hanscom, M. A. Kestler, A. Hall, H. J. Miller, and R. L. Berg, "Spring Thaw Predictor and Development of Real Time Spring Load Restrictions," Proceedings of the American Society of Civil Engineers 14th International Conference on Cold Regions Engineering, Duluth, MN, August 30-September 2, 2009.
  10. Eaton, R. A. , R. L. Berg, A. Hall, H. J. Miller, and M. A. Kestler, "Initial Analysis of the New Hampshire Spring Load Restriction Procedure," Proceedings of the American Society of Civil Engineers 14th International Conference on Cold Regions Engineering, Duluth, MN, August 30-September 2, 2009.
  11. Miller, H. J. , M. Amatrudo, R. A. Eaton, A. Hall, and M. A. Kestler, "Field Evaluation of Reconstructed Roadways Incorporating Full Depth Reclamation," Paper No. 10-1791, Proceedings of the Transportation Research Board 89th Annual Meeting, Washington D. C. , January 10-14, 2010.
  12. Kestler, M. A. , Richard L. Berg, Bryan C. Steinert, Gordon Hanek, Mark Truebe, and Dana N. Humphrey, Determining When to Place and Remove Spring Load Restrictions on Low Volume Roads: Three Low-Cost Techniques. Low Volume Roads Conference, Austin, TX, Transportation Research Record 1989, pp 219-229, WA, DC. June 2007.
  13. Mahoney, J. , R. Rutherford, and G. Hicks, Guidelines for Spring Highway Use Restrictions, Report No. WA-RD- 80. 2, Washington State Department of Transportation, Olympia, WA, 1986.
  14. Bai?z, S. , S. L. Tighe, C. T. Haas, B. Mills, and M. Perchanok, "Development and Calibration of Frost and Thaw Depth Predictors for Use in Variable Load Restrictions Decision-Making on Flexible Low-Volume Roads", Paper #08- 1083, Transportation Research Board 87th Annual Meeting, 2008.
  15. J. O. Jenkins, M. B. Yusoff. (1988) Developing knowledge-based decision support systems in public sector administration: A case study in the treasury department, ministry of finance, Malaysia. Information Technology for Development 3:2, 111-133
  16. Adela Bara, Vlad Diaconita, Ion Lungu, and Manole Velicanu. 2009. Improving performance in integrated DSS with object oriented modeling. W. Trans. on Comp. 8, 4 (April 2009), 599-609.
  17. David C. Farwell, A Model Based Approach to Decision Support System Flexibility, Interfaces 1982 12:5, 79-86
  18. George M. Kasper, A Theory of Decision Support System Design for User Calibration, Information Systems Research 1996 7:2, 215-232
  19. Larissa Terpeluk Moss , Shaku Atre, Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications, Addison-Wesley Longman Publishing Co. , Inc. , Boston, MA, 2003
  20. Lungu I. , Velicanu M. , Bâra A. , Diaconita V. , Botha I. - Practices for designing and improving data extraction in a virtual data warehouses project, Proceedings of ICCCC 2008, International conference on computers, communications and control, Baile Felix, Oradea, Romania, 15-17 May 2008, pag 369-375, published in International Journal of Computers, Communications and Control, vol 3, 2008, ISSN 1841-9836.
  21. Miller, H. J. , Cabral, C. , Kestler, M. A. , Berg, R. L. and Eaton, R. A. , Comparative Analyses of Methods for Posting Spring Load Restrictions. Proceedings of the 10th International Symposium on Cold Regions Development, Anchorage, Alaska June 2-5, 2013.
  22. O'Connor, S. , Balasubramanian R. , Zarrillo M. , Miller H. , Wang H. , Modeling and Decision Support System to Determine When to Impose Seasonal Load Restrictions (SLR). Proceedings of the International Workshop on Applied Modeling and Simulation, Rome, Italy, September 24-27, 2012.
  23. Miller, H. J. , Cabral, C. , Kestler, M. A. , Berg, R. L. and Eaton, R. A. , Calibration of a Freeze-Thaw Prediction Model for Spring Load Restriction Timing in Northern New England. Proceedings of the 15'th International Conference on Cold Regions Engineering, Quebec, Canada, August 19-22, 2012.
  24. Zarrillo M. , Miller H. , Balasubramanian R. , Wang H. , Berg, R. , Eaton, R. and Kestler, M. Preliminary Development of a Real Time Seasonal Load Restriction System for Remote Sites. Proceedings of the 15'th International Conference on Cold Regions Engineering, Quebec, Canada, August 19-22, 2012.
  25. Utpatadevi, Ni LP Pravina, AAK Oka Sudana, and AA Kt Agung Cahyawan. "Implementation of MVC (Model-View-Controller) Architectural to Academic Management Information System with Android Platform Base. " International Journal 57.
  26. A. Leff, J. T. Rayfield, Web-application development using the Model/View/Controller design pattern Enterprise Distributed Object Computing Conference, 2001. EDOC '01. Proceedings. Fifth IEEE International In Enterprise Distributed Object Computing Conference, 2001. EDOC '01. Proceedings. Fifth IEEE International (2001), pp. 118-127, doi:10. 1109/edoc. 2001. 950428
  27. Avraham Leff, James T. Rayfield, IBM Research DivisionThomas J. Watson Research Center, Yorktown Heights, NY, Web Application Development Using the Model/View/Controller Design Pattern, 2001
Index Terms

Computer Science
Information Sciences

Keywords

commercial remote sensing decision support system seasonal load restrictions frost-thaw predictive model and satellite data collection model view controller object relational mapping

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