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A Survey and Assessment of Intelligent Control Technologies and Algorithms for Helping Human Movement at National Borders

机译:智能控制技术和算法在国家边界的帮助下的调查和评估

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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.
机译:可以使用智能控制技术来控制边境活动,当人员大量活动时,边境活动会变得混乱。这在处理文档和人员移动方面造成了很多延迟。本文提供了对智能技术的初步调查,这些智能技术可以很好地控制前沿的迁移挑战。本文介绍了涉及各种智能应用程序的某些排队技术和推荐算法。提出了挑战和不同观点,这些挑战和观点考虑了在移动设备(具有有限的处理能力和内存)中实现的事实,并且具有上下文感知能力。它为概述的特定问题环境准备了评估这些技术的标准,例如基于位置的服务能力以及可能影响队列管理并帮助人员在国界移动的适当推荐算法。本文对这些技术进行了排名评估,并提出了解决此特定人体运动控制问题的候选人。然后,本文提出了构建应用程序以帮助控制边界移动的进一步工作,这些应用程序以后可以部署。这项工作目前正在进行中。

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