Volume 2, Issue 3, September 2017, Page: 80-85
Resource Management and Decision Support System for Border Patrol
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
Received: Jun. 30, 2017;       Accepted: Jul. 13, 2017;       Published: Aug. 7, 2017
DOI: 10.11648/j.ajdmkd.20170203.12      View  1815      Downloads  115
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.
Resource Management, Decision Making, System Development
To cite this article
Yan Xu, Hua Li, Kai Jin, Resource Management and Decision Support System for Border Patrol, American Journal of Data Mining and Knowledge Discovery. Vol. 2, No. 3, 2017, pp. 80-85. doi: 10.11648/j.ajdmkd.20170203.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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