Internet of Things and Cyber-Physical Systems最新文献

英文中文

Remote control of environmental parameters in rabbitry based on IoT 基于物联网的家兔环境参数远程控制

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-06-01 DOI: 10.1016/j.iotcps.2022.06.003

Taoufik Benhmad, Anouar Ben Abdennour, Amina Darghouthi, Chibani Belgacem Rhaimi

引用次数: 1

Understanding roles of virtual reality in radiology 了解虚拟现实在放射学中的作用

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-06-01 DOI: 10.1016/j.iotcps.2022.06.002

M. Javaid, Abid Haleem, R. Singh, Shahbaz Khan

引用次数: 3

Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies 通过应用工业4.0技术实现柔性制造系统(FMS)

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-05-01 DOI: 10.1016/j.iotcps.2022.05.005

M. Javaid, Abid Haleem, R. Singh, R. Suman

引用次数: 33

New trends on computer vision applied to mobile robot localization 计算机视觉在移动机器人定位中的应用新趋势

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-05-01 DOI: 10.1016/j.iotcps.2022.05.002

M. Reis, Antônio Sávio, A. R. Alexandria, M. E. M. Martinez, Francisco Alan Xavier da Mota

引用次数: 3

Holography and its applications for industry 4.0: An overview 全息技术及其在工业4.0中的应用综述

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-05-01 DOI: 10.1016/j.iotcps.2022.05.004

Abid Haleem, M. Javaid, R. Singh, R. Suman, S. Rab

引用次数: 7

Artificial intelligence enabled Digital Twins for training autonomous cars 人工智能使Digital Twins能够训练自动驾驶汽车

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-05-01 DOI: 10.1016/j.iotcps.2022.05.001

Dongliang Chen, Zhihan Lv

引用次数: 10

Digital twins to fight against COVID-19 pandemic 数字双胞胎对抗新冠肺炎疫情

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-05-01 DOI: 10.1016/j.iotcps.2022.05.003

Dongliang Chen, Nojoom A. AlNajem, Mohammad Shorfuzzaman

引用次数: 5

Medical 4.0 technologies for healthcare: Features, capabilities, and applications 用于医疗保健的医疗4.0技术:特性、功能和应用程序

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-04-01 DOI: 10.1016/j.iotcps.2022.04.001

Abid Haleem, M. Javaid, Ravi Pratap Singh, R. Suman

引用次数: 41

Secured energy ecosystems under Distributed Energy Resources penetration 分布式能源渗透下的安全能源生态系统

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.10.002

Raja Sekhar Ravi , Alireza Jolfaei , Deepak Tripathy , Muhammad Ali

Renewable energy systems have mushroomed in the form of microgrids and Virtual Power Plants (VPP). In Australia itself, there are over three million Distributed Energy Resources (DERs). Integrating these new energy ecosystems into current systems is becoming a horrendous task as multi-dimensional energy flows and new energy business models are evolving. The stakeholders in the energy sector are focused on reducing costs prematurely while integration standards are still evolving, and interoperability of Internet of things (IoT) with legacy systems has outstanding security concerns. In this paper, the changing energy landscape is examined, and cybersecurity issues associated with the operation of VPPs and renewable energy-based microgrids are highlighted. The security and operational scenarios of new ecosystems are outlined, with an emphasis on DER interoperability, security, and integration. The design and development of these evolving standards into these new energy ecosystems is detailed based on observations from experiments on real-world DER installations. This paper is an extension of work originally reported in proceedings of the 31st Australasian Universities Power Engineering Conference [1].

可再生能源系统以微电网和虚拟电厂(VPP)的形式迅速发展。在澳大利亚，有超过300万个分布式能源(DERs)。随着多维能源流和新能源商业模式的发展，将这些新能源生态系统整合到现有系统中正在成为一项艰巨的任务。能源行业的利益相关者在集成标准仍在发展的情况下过早地关注降低成本，物联网(IoT)与遗留系统的互操作性存在突出的安全问题。本文研究了不断变化的能源格局，并强调了与vpp和基于可再生能源的微电网运营相关的网络安全问题。概述了新生态系统的安全和操作场景，重点是DER的互操作性、安全性和集成。这些新能源生态系统中不断发展的标准的设计和开发是基于对现实世界DER装置的实验观察而详细介绍的。本文是对第31届澳大拉西亚大学动力工程会议论文集中最初报道的工作的扩展。

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引用次数: 2

New trends on computer vision applied to mobile robot localization 计算机视觉在移动机器人定位中的应用新趋势

Internet of Things and Cyber-Physical Systems

Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.05.002

Antonio Savio Silva Oliveira , Marcello Carvalho dos Reis , Francisco Alan Xavier da Mota , Maria Elisa Marciano Martinez , Auzuir Ripardo Alexandria

This work presents a systematic review of computer vision techniques for locating mobile robots. Its main objectives are to analyze the latest technology in use to locate mobile robots. In addition, this work violated the advances achieved so far, assesses the challenges to be overcome and provides an analysis of future prospects. There is a lot of research related to the location of mobile robots, but the number of review articles on the topic is small, which makes this work of remarkable value. The research covered the works published in Web of Science, Scopus, Science Direct and IEEEXplore until June 2021. Each work found proposes a vision-based localization technique. After being analyzed individually, it can be concluded that it is necessary to assess the level of accuracy of these techniques through a single standard, it is necessary to assess the cost-benefit of the computational cost and the need for more powerful computers or systems to perform the localization task. Finally, the main contributions of this work are the creation of a table summarizing the main methods of localization by computer vision, the statistical analysis performed on the keywords of the selected works and providing an overview of this line of research that can be a basis for future research.

这项工作提出了定位移动机器人的计算机视觉技术的系统综述。它的主要目标是分析用于定位移动机器人的最新技术。此外，这项工作违反了迄今取得的进展，评估了有待克服的挑战，并分析了未来的前景。与移动机器人定位相关的研究有很多，但关于该主题的综述文章数量很少，这使得这项工作具有显著的价值。该研究涵盖了截至2021年6月在Web of Science、Scopus、Science Direct和ieee explore上发表的作品。发现的每一项工作都提出了一种基于视觉的定位技术。在单独分析之后，可以得出结论，有必要通过单一标准评估这些技术的准确性水平，有必要评估计算成本的成本效益以及对更强大的计算机或系统的需求来执行定位任务。最后，本工作的主要贡献是创建了一个表格，总结了计算机视觉定位的主要方法，对所选作品的关键词进行了统计分析，并对这一研究方向进行了概述，为今后的研究奠定了基础。

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引用次数: 3

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