Resource Management and Decision Support System for Border Patrol

Yan Xu; Hua Li; Kai Jin

doi:doi:10.11648/j.ajdmkd.20170203.12

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Resource Management and Decision Support System for Border Patrol

Yan Xu, Hua Li, Kai Jin

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 3)

Received: 30 June 2017 Accepted: 13 July 2017 Published: 7 August 2017

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Abstract

In order to achieve the two goals in the 2012-2016 border patrol national strategy, which are secure America’s borders and strengthen the border patrol, many types of information and data from different resources should be integrated and considered. The data includes historical data, real time data from sensors, and data from supporting system, such as GIS. However, there is few research on an integrated decision making support system can provide the complete information to the users and assist users to make a systematically thinking decision. This paper focuses on providing a structured approach in developing an interactive decision making support system for both border security resource allocation and patrol routing plan. It will result in the development of new system and a new analysis tool for the border security resource management.

Published in	American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 3)
DOI	10.11648/j.ajdmkd.20170203.12
Page(s)	80-85
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Resource Management, Decision Making, System Development

References

[1]	Lisa M. Seghetti, Jennifer E. Lake, and William H. Robinson. 2005. “Border and Transportation Security: Selected Programs and Policies”. http://www.dtic.mil/cgi-bin/GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=ADA453688. Retrieved on Oct 2012.
[2]	Jason Ackleson. 2005. “Constructing security on the U. S.–Mexico border”, Political Geography, 24:2 165-184.
[3]	Arbel, A., and Tong, R. M., 1982, “On the generation of Alternatives in Decision Analysis Problems,” The Journal of the Operational research Society, 33 (4), pp. 377-387.
[4]	Eisenhardt, K., 1989, “Making fast strategic decisions in high-velocity environments,” Academy of Management Journal, Vol. 32, No. 3, pp. 543-576.
[5]	Guan, P., Capezio, A., Restubog, S. L. D., Read, S., Lajom, J. A. L., & Li, M. 2016. The role of traditionality in the relationships among parental support, career decision-making self-efficacy and career adaptability. Journal of Vocational Behavior, 94, 114-123.
[6]	Olausson, P. M., & Nyhlén, J. 2017. Organization and Decision‐Making in Enforced Networks: The River Groups in Northern Sweden. Journal of Contingencies and Crisis Management.
[7]	Keeney, R. L., and Raiffa, H., 1976, Decisions with Multiple Objectives: Preferences and Value Tradeoffs, John Wiley and Sons, New York.
[8]	Kai Jin, Hua Li, Qing Song, Design of Experiment in Border Security Resource Management System, 15th Industrial Conference on Data Mining, Hamburg, Germany, July 15-19, 2015.
[9]	Kai Jin, Hua Li, Qing Song, Resource Allocation Modeling and Simulation in Boarder Security Application, International Conference on Industrial Engineering and Management Sciences, 2014.
[10]	Bruegge, B., Dutoit, A. H., 2000, Object-Oriented Software Engineering Conquering Complex and Changing Systems, Prentice Hall, New Jersey.
[11]	Booch, G., Rumbaugh, J., Jacobson, I., 1999, The Unified Modeling Language User Guide, Addison-Wesley.
[12]	Chhabra, R., Kumar, P., & Pahwa, P. 2016. An approach to Design Object Oriented Data Warehouse. International Journal of Research and Engineering, 3 (3), 54-56.

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APA Style

Yan Xu, Hua Li, Kai Jin. (2017). Resource Management and Decision Support System for Border Patrol. American Journal of Data Mining and Knowledge Discovery, 2(3), 80-85. https://doi.org/10.11648/j.ajdmkd.20170203.12

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ACS Style

Yan Xu; Hua Li; Kai Jin. Resource Management and Decision Support System for Border Patrol. Am. J. Data Min. Knowl. Discov. 2017, 2(3), 80-85. doi: 10.11648/j.ajdmkd.20170203.12

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AMA Style

Yan Xu, Hua Li, Kai Jin. Resource Management and Decision Support System for Border Patrol. Am J Data Min Knowl Discov. 2017;2(3):80-85. doi: 10.11648/j.ajdmkd.20170203.12

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@article{10.11648/j.ajdmkd.20170203.12,
  author = {Yan Xu and Hua Li and Kai Jin},
  title = {Resource Management and Decision Support System for Border Patrol},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {3},
  pages = {80-85},
  doi = {10.11648/j.ajdmkd.20170203.12},
  url = {https://doi.org/10.11648/j.ajdmkd.20170203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170203.12},
  abstract = {In order to achieve the two goals in the 2012-2016 border patrol national strategy, which are secure America’s borders and strengthen the border patrol, many types of information and data from different resources should be integrated and considered. The data includes historical data, real time data from sensors, and data from supporting system, such as GIS. However, there is few research on an integrated decision making support system can provide the complete information to the users and assist users to make a systematically thinking decision. This paper focuses on providing a structured approach in developing an interactive decision making support system for both border security resource allocation and patrol routing plan. It will result in the development of new system and a new analysis tool for the border security resource management.},
 year = {2017}
}

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TY  - JOUR
T1  - Resource Management and Decision Support System for Border Patrol
AU  - Yan Xu
AU  - Hua Li
AU  - Kai Jin
Y1  - 2017/08/07
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170203.12
DO  - 10.11648/j.ajdmkd.20170203.12
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 80
EP  - 85
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170203.12
AB  - In order to achieve the two goals in the 2012-2016 border patrol national strategy, which are secure America’s borders and strengthen the border patrol, many types of information and data from different resources should be integrated and considered. The data includes historical data, real time data from sensors, and data from supporting system, such as GIS. However, there is few research on an integrated decision making support system can provide the complete information to the users and assist users to make a systematically thinking decision. This paper focuses on providing a structured approach in developing an interactive decision making support system for both border security resource allocation and patrol routing plan. It will result in the development of new system and a new analysis tool for the border security resource management.
VL  - 2
IS  - 3
ER  -

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Author Information

Yan Xu

Computer Science, Engineering & Advanced Technology Department, Del Mar College, Corpus Christi, United States
Hua Li

Mechanical and Industrial Engineering Department, Texas A & M University-Kingsville, Kingsville, United States
Kai Jin

Mechanical and Industrial Engineering Department, Texas A & M University-Kingsville, Kingsville, United States

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APA Style

Yan Xu, Hua Li, Kai Jin. (2017). Resource Management and Decision Support System for Border Patrol. American Journal of Data Mining and Knowledge Discovery, 2(3), 80-85. https://doi.org/10.11648/j.ajdmkd.20170203.12

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ACS Style

Yan Xu; Hua Li; Kai Jin. Resource Management and Decision Support System for Border Patrol. Am. J. Data Min. Knowl. Discov. 2017, 2(3), 80-85. doi: 10.11648/j.ajdmkd.20170203.12

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AMA Style

Yan Xu, Hua Li, Kai Jin. Resource Management and Decision Support System for Border Patrol. Am J Data Min Knowl Discov. 2017;2(3):80-85. doi: 10.11648/j.ajdmkd.20170203.12

Copy | Download

@article{10.11648/j.ajdmkd.20170203.12,
  author = {Yan Xu and Hua Li and Kai Jin},
  title = {Resource Management and Decision Support System for Border Patrol},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {3},
  pages = {80-85},
  doi = {10.11648/j.ajdmkd.20170203.12},
  url = {https://doi.org/10.11648/j.ajdmkd.20170203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170203.12},
  abstract = {In order to achieve the two goals in the 2012-2016 border patrol national strategy, which are secure America’s borders and strengthen the border patrol, many types of information and data from different resources should be integrated and considered. The data includes historical data, real time data from sensors, and data from supporting system, such as GIS. However, there is few research on an integrated decision making support system can provide the complete information to the users and assist users to make a systematically thinking decision. This paper focuses on providing a structured approach in developing an interactive decision making support system for both border security resource allocation and patrol routing plan. It will result in the development of new system and a new analysis tool for the border security resource management.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Resource Management and Decision Support System for Border Patrol
AU  - Yan Xu
AU  - Hua Li
AU  - Kai Jin
Y1  - 2017/08/07
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170203.12
DO  - 10.11648/j.ajdmkd.20170203.12
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 80
EP  - 85
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170203.12
AB  - In order to achieve the two goals in the 2012-2016 border patrol national strategy, which are secure America’s borders and strengthen the border patrol, many types of information and data from different resources should be integrated and considered. The data includes historical data, real time data from sensors, and data from supporting system, such as GIS. However, there is few research on an integrated decision making support system can provide the complete information to the users and assist users to make a systematically thinking decision. This paper focuses on providing a structured approach in developing an interactive decision making support system for both border security resource allocation and patrol routing plan. It will result in the development of new system and a new analysis tool for the border security resource management.
VL  - 2
IS  - 3
ER  -

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