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  • 标题:A Survey and Assessment of Intelligent Control Technologies and Algorithms for Helping Human Movement at National Borders
  • 本地全文:下载
  • 作者:Arbnor Halili ; Majlinda Fetaji
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:25
  • 页码:81-86
  • DOI:10.1016/j.ifacol.2019.12.450
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Intelligent control techniques and technologies can be used to control border activities which can become chaotic when there are large movements of people. This creates a lot of delays in processing of documentation and human movement. This paper provides a preliminary survey of intelligent techniques which are good candidates for controlling this migration challenge at frontiers. The paper presents certain queueing techniques and recommending algorithms which involve a range of intelligent applications. Challenges and different point of views that take into consideration fact of implementation in mobile devices (with limited processing power and memory) and being context-aware, are presented. It prepares criteria for assessing these techniques for the particular problem context as outlined, such as location-based service capability and appropriate recommending algorithms that can affect queue management and help human movement at national borders. This paper contributes a ranked assessment of these technologies and proposes a candidate for solving this particular human movement control problem. The paper then suggests further work to build applications to help control border movements which can be later deployed. This work is currently underway.
  • 关键词:Keywordsinformation systemslocationalgorithmsartificial intelligence
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