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题目: A Survey on Human Machine Interaction in Industry 4.0

摘要: 工业4.0或工业物联网都描述了人与机器之间无缝交互的新模式。这两个概念都依赖于能够控制工业生产流程的智能、互联的网络物理生产系统。随着这些机器自主地做出许多决策,并进一步与生产和制造计划系统交互,人类用户的集成需要新的范式。本文分析了工业4.0领域人机交互技术的现状。我们专注于集成增强和虚拟现实技术应用的新范例。基于我们的分析,我们进一步讨论了研究的挑战。

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This article presents how the studies of the evolutionary multi-objective clustering have been evolving over the years, based on a mapping of the indexed articles in the ACM, IEEE, and Scopus. We present the most relevant approaches considering the high impact journals and conferences to provide an overview of this study field. We analyzed the algorithms based on the features and components presented in the proposed general architecture of the evolutionary multi-objective clustering. These algorithms were grouped considering common clustering strategies and applications. Furthermore, issues regarding the difficulty in defining appropriate clustering criteria applied to evolutionary multi-objective clustering and the importance of the evolutionary process evaluation to have a clear view of the optimization efficiency are discussed. It is essential to observe these aspects besides specific clustering properties when designing new approaches or selecting/using the existing ones. Finally, we present other potential subjects of future research, in which this article can contribute to newcomers or busy researchers who want to have a wide vision of the field.

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