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Design and implementation of solar-powered with IoT-Enabled portable irrigation system 设计和实现太阳能和物联网驱动的便携式灌溉系统
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.12.002
Roshahliza M. Ramli , Waheb A. Jabbar

This paper proposes a solar-powered portable water pump (SPWP) for IoT-enabled smart irrigation system (IoT-SIS). A NodeMCU microcontroller with a Wi-Fi interface and soil moisture, temperature, and humidity sensors are exploited to monitor and control the water pump and build an IoT-based irrigation system. The proposed irrigation system updates the gathered information from sensors (moisture, temperature, and humidity) using an integrated algorithm to the Blynk IoT cloud in real-time. Farmers can access this information and control the water pump accordingly via a user-friendly interface using their smartphones. The portable and eco-friendly water pump is powered via a solar panel and can be controlled using Blynk mobile application, which is also used to monitor the surroundings. The fabricated pump is inspired by wheeled travel luggage and is equipped with a water filter and multi-nozzles sprayer. The developed solar-based water pump has managed to save electricity and mitigate operational costs. Furthermore, the integration of the IoT concept has facilitated real-time monitoring and control of the pump; thus, enhancing the water usage efficiency and enabling convenient farming operations. The system functionality has been practically tested in a real environment, and its performance has been evaluated.

提出一种用于物联网智能灌溉系统(IoT-SIS)的太阳能便携式水泵(SPWP)。利用带有Wi-Fi接口的NodeMCU微控制器和土壤湿度、温度和湿度传感器来监测和控制水泵,并构建基于物联网的灌溉系统。该灌溉系统使用集成算法将传感器收集的信息(湿度、温度和湿度)实时更新到Blynk物联网云。农民可以通过智能手机访问这些信息,并通过用户友好界面相应地控制水泵。这款便携式环保水泵由太阳能电池板供电,可以使用Blynk移动应用程序进行控制,该应用程序也可以用于监测周围环境。制造泵的灵感来自轮式旅行箱,并配备了一个水过滤器和多喷嘴喷雾器。开发的太阳能水泵已经成功地节省了电力,降低了运营成本。此外,物联网概念的整合促进了对泵的实时监测和控制;因此,提高了用水效率,使农业经营更加便利。该系统已在实际环境中进行了功能测试,并对其性能进行了评价。
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引用次数: 7
A security reference architecture for cargo ports 货物港口的安全参考体系结构
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.07.001
Eduardo B. Fernandez, Virginia M. Romero

Secure systems must be built in a systematic and holistic way, where security is an integral part of the development lifecycle and cuts across all architectural layers. This need is more evident in Cyber Physical Systems (CPSs), where attacks may target not only the information model of the system but also its physical entities. CPS systems are heterogeneous and often highly complex. Their possibly numerous components and cross-domain complexity make attacks easy to propagate and security difficult to implement. Moreover, this complexity results in a considerable variety of vulnerabilities and a large attack surface. To design secure CPS systems a good approach is to abstract their complexity and develop a common framework, namely a Reference Architecture (RA), to which we add security mechanisms in appropriate places to stop its threats to define a Security Reference Architecture (SRA). An SRA is an abstract architecture describing a conceptual model of security that provides a way to specify security requirements for a wide range of derived concrete architectures. An important type of CPS is a maritime container terminal, a facility where cargo containers are transported between ships and land vehicles for onward transportation, and vice versa. We present here an SRA for cargo ports built out of patterns, which goes beyond existing models in providing a global view and a more precise description than just block diagrams. Starting from an RA, we analyze security issues in each activity of the processes of the system and enumerate its threats. We describe threats using misuse patterns, and from them we select security patterns that realize defensive solutions.

安全系统必须以系统和整体的方式构建,其中安全性是开发生命周期的一个组成部分,并跨越所有架构层。这种需求在网络物理系统(cps)中更为明显,其中攻击可能不仅针对系统的信息模型,还针对其物理实体。CPS系统是异构的,通常非常复杂。它们可能具有众多的组件和跨域复杂性,这使得攻击容易传播,安全性难以实现。此外,这种复杂性导致了各种各样的漏洞和很大的攻击面。要设计安全的CPS系统,一个好的方法是抽象其复杂性并开发一个通用框架,即参考体系结构(RA),我们在适当的地方添加安全机制以阻止其威胁,以定义安全参考体系结构(SRA)。SRA是一种描述安全概念模型的抽象体系结构,它提供了一种为广泛的派生的具体体系结构指定安全需求的方法。海上集装箱码头是一种重要的CPS类型,它是一种货物集装箱在船舶和陆地车辆之间运输的设施,以便进行后续运输,反之亦然。我们在这里提出了一个基于模式构建的货运港口SRA,它超越了现有模型,提供了全局视图和比方框图更精确的描述。从RA开始,我们分析了系统进程的每个活动中的安全问题,并列举了其威胁。我们使用误用模式来描述威胁,并从中选择实现防御解决方案的安全模式。
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引用次数: 2
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
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.06.003
Taoufik Benhmad, Anouar Ben Abdennour, Amina Darghouthi, Chibani Belgacem Rhaimi

Thanks to new modern modes of communication, many and various possibilities offer taking advantage of enhanced and developed technologies. Researchers are constantly introducing better technological solutions which overcome former ones. This has led to rethink some tasks. To put them into action, automatically, this approach will be presented in this paper and will give interesting examples. Based on a networking concept, concrete examples will be described. The application will show how, among various servers, we have retained the one named ThingSpeak having been used to illustrate the IoT's technology utility. On account of the high rate in rabbit mortality this application is implemented in rabbitry The paper illustrates a prototype framework describing a real-time monitoring application. This study takes into account various factors such temperature, humidity and NH3 gas, that could cause rabbit mortality. So, thanks to offered real-time intervention, the mortality rate would be decreased. How, this would be obtained? That's what will be developed towards this paper. Thanks to Smartphones, the breeder has the possibility to accede to better manage his rabbitry. Examples are underlined to see how helpful is nowadays technology. Some enhancements, dealing with this effort, are previewed in the future.

由于新的现代通信模式,利用改进和发展的技术提供了许多不同的可能性。研究人员不断推出更好的技术解决方案,以克服以前的技术。这促使我们重新思考一些任务。为了使它们自动地付诸行动,本文将介绍这种方法,并将给出有趣的例子。基于网络概念,将描述具体的示例。该应用程序将显示,在各种服务器中,我们保留了一个名为ThingSpeak的服务器,用于说明物联网的技术效用。针对家兔死亡率高的问题,本文在家兔身上实现了该应用程序。本研究考虑了可能导致兔子死亡的各种因素,如温度、湿度和NH3气体。因此,由于提供了实时干预,死亡率将会降低。这是怎么得到的呢?这就是这篇论文的发展方向。多亏了智能手机,饲养员有可能更好地管理他的兔子。下面列举了一些例子来说明当今的技术是多么有用。我们将在将来预览处理此工作的一些增强。
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引用次数: 1
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
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.05.004
Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman , Shanay Rab

Industry 4.0 is a new stage in the organisation and control of the industrial value chain, interchangeably with the fourth industrial revolution. It has a broad vision with well-defined frameworks and reference designs, focusing on bridging physical infrastructure and digital technology in so-called cyber-physical systems. Apart from the other essential technologies, Holography is considered a new innovative technology that can completely transform the vision of Industry 4.0. In industrial applications, holographic technology is used for quality control in manufacturing and fracture testing, such as holographic nondestructive testing. Holography has a wide range of applications in medicine, the military, weather forecasting, virtual reality, digital art, and security. The fourth industrial revolution aims to provide automated asset monitoring, decision-making for corporate operations, and real-time network connectivity. This paper explores holography and its significant benefits through various development processes, features, and applications, where the focus is on ‘holography for Industry 4.0'. Hologram technology is a new industry trend and can impact multiple domains of Industry 4.0. Furthermore, the adoption of holographic technologies may improve the efficiency of existing products and services in other technology sectors such as architecture, 3D modelling, mechatronics, robotics, and healthcare and medical engineering.

工业4.0是工业价值链组织和控制的新阶段,与第四次工业革命互换。它具有广泛的视野,具有良好定义的框架和参考设计,专注于在所谓的网络物理系统中架起物理基础设施和数字技术的桥梁。除了其他基本技术外,全息技术被认为是一种新的创新技术,可以彻底改变工业4.0的愿景。在工业应用中,全息技术用于制造和断裂检测的质量控制,如全息无损检测。全息技术在医学、军事、天气预报、虚拟现实、数字艺术和安全领域有着广泛的应用。第四次工业革命的目标是提供自动化资产监控、企业运营决策和实时网络连接。本文通过各种开发流程、功能和应用探讨了全息技术及其显著优势,其中重点是“工业4.0的全息技术”。全息技术是一种新的行业趋势,可以影响工业4.0的多个领域。此外,全息技术的采用可以提高其他技术部门现有产品和服务的效率,如建筑、3D建模、机电一体化、机器人、医疗保健和医疗工程。
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引用次数: 6
Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique 基于AHP-TOPSIS混合MCDM技术的新冠疫情期间零售商供应链挑战与问题评估
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.10.001
S Mojahid Ul Islam , Sameen Khan , Hozaifa Ahmad , Md Adib Ur Rahman , Sarika Tomar , Mohd Zaheen Khan

Framework and objectives

COVID-19 epidemic has sparked concern and has elevated the need for therapeutic tools, health equipment's, and day-to-day necessities for healthcare workers' well-being. The goal of this study is to uncover the operational problems that suppliers encounter when it comes to offering effective services. The research also intends to offer an Industry 4.0 strategy for reducing COVID-19's effect. The problems are weighed and priority is assigned by multi-criteria decision making to identify the most essential parameter which impacts the suppliers.

Methods

A comprehensive literature assessment on the rampant eruption of COVID 19 and supply chain is conducted with the aid of literatures available on SCOPUS, Science Direct, and Google Scholar using appropriate keywords. To get further insights, certain pertinent and applicable industry reports and blogs are also used. Problems were analysed with AHP method and priority was assigned by technique for order performance by similarity to ideal solution (TOPSIS). Weights are calculated by AHP method and assigned to each criteria attribute.

Results

We recognized eleven key problems that serve as an operational obstacle in the retail industry and proposed the use of Industry 4.0 technology to address them. The contemporary study is accomplished by using hybrid combination of two Multi Criteria Estimators methods- Analytical Hierarchical Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Further, the most significant problem comes out to be Maintenance of an appropriate balance among supply and demand followed by Lack of Viability.

Key findings

Prioritization of supply chain problems are arranged in descending order Maintenance of an appropriate balance among supply and demand ​> ​Lack of Viability ​> ​Absence of government funding ​> ​Lack of access ​> ​Absence of Confidence ​> ​Scarcity of work force ​> ​Lack of security and safety ​> ​Deficiency of surplus medical amenities ​> ​Consumer attitude ​> Absence of Supply Chain flexibility ​> ​Communication problems.

Conclusion

In order to combat the pandemic, Industry 4.0 can play a key role in lowering the effect of identified issues on retailers. For the successful administration of healthcare basics, trust and openness are required. To enhance services, suppliers, distributors and policy makers should make informed decisions during COVID-19 and other comparable events. Therefore, suggested guidelines and framework will offer upcoming directions for research in fields of pandemic check, business logistics management, and catastrophe administration. Balance in supply and demand is the most significant attri

框架和目标2019冠状病毒病疫情引发了关注,并增加了对治疗工具、卫生设备和卫生保健工作者福祉日常必需品的需求。本研究的目的是揭露供应商在提供有效服务时所遇到的营运问题。该研究还打算提供减少新冠病毒影响的工业4.0战略。采用多准则决策方法对各问题进行加权并分配优先级,以确定影响供应商的最关键参数。方法利用SCOPUS、Science Direct、谷歌Scholar等网站检索的相关文献,选取合适的关键词,对疫情暴发与供应链进行综合文献评价。为了获得更深入的见解,还使用了某些相关和适用的行业报告和博客。采用层次分析法对问题进行分析,并采用理想解相似性排序技术(TOPSIS)确定优先级。采用层次分析法计算权重,并将权重赋给各指标属性。结果我们认识到零售业存在的11个关键问题,并建议使用工业4.0技术来解决这些问题。当前的研究是利用两种多准则估计方法——层次分析法(AHP)和理想解相似性排序偏好法(TOPSIS)的混合组合来完成的。此外,最重要的问题是维持供需之间的适当平衡,然后缺乏生存能力。供应链问题的优先级由高到低排列,维持供需平衡;缺乏生存能力>缺乏政府资助>缺乏访问>缺乏信心>劳动力短缺>缺乏安全保障>剩余医疗设施不足;消费者态度>缺乏供应链灵活性>通信问题。为了对抗疫情,工业4.0可以在降低已识别问题对零售商的影响方面发挥关键作用。要成功地管理医疗保健基础,信任和开放是必需的。为了加强服务,供应商、分销商和决策者应在2019冠状病毒病和其他类似事件期间做出明智的决定。因此,该指南和框架将为防疫、企业物流管理、巨灾管理等领域的研究提供方向。供需平衡是最重要的属性,其百分比贡献最大(27.52%),其次是员工安全(26.51%)。然后,利用TOPSIS对这些模型的属性进行排序。在所有这些问题中,维持供需之间的适当平衡和缺乏生存能力被认为是零售商在2019冠状病毒病大流行期间供应链管理中最主要和最常见的问题。
{"title":"Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique","authors":"S Mojahid Ul Islam ,&nbsp;Sameen Khan ,&nbsp;Hozaifa Ahmad ,&nbsp;Md Adib Ur Rahman ,&nbsp;Sarika Tomar ,&nbsp;Mohd Zaheen Khan","doi":"10.1016/j.iotcps.2022.10.001","DOIUrl":"https://doi.org/10.1016/j.iotcps.2022.10.001","url":null,"abstract":"<div><h3>Framework and objectives</h3><p>COVID-19 epidemic has sparked concern and has elevated the need for therapeutic tools, health equipment's, and day-to-day necessities for healthcare workers' well-being. The goal of this study is to uncover the operational problems that suppliers encounter when it comes to offering effective services. The research also intends to offer an Industry 4.0 strategy for reducing COVID-19's effect. The problems are weighed and priority is assigned by multi-criteria decision making to identify the most essential parameter which impacts the suppliers.</p></div><div><h3>Methods</h3><p>A comprehensive literature assessment on the rampant eruption of COVID 19 and supply chain is conducted with the aid of literatures available on SCOPUS, Science Direct, and Google Scholar using appropriate keywords. To get further insights, certain pertinent and applicable industry reports and blogs are also used. Problems were analysed with AHP method and priority was assigned by technique for order performance by similarity to ideal solution (TOPSIS). Weights are calculated by AHP method and assigned to each criteria attribute.</p></div><div><h3>Results</h3><p>We recognized eleven key problems that serve as an operational obstacle in the retail industry and proposed the use of Industry 4.0 technology to address them. The contemporary study is accomplished by using hybrid combination of two Multi Criteria Estimators methods- Analytical Hierarchical Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Further, the most significant problem comes out to be Maintenance of an appropriate balance among supply and demand followed by Lack of Viability.</p></div><div><h3>Key findings</h3><p>Prioritization of supply chain problems are arranged in descending order Maintenance of an appropriate balance among supply and demand ​<strong>&gt;</strong> ​Lack of Viability ​<strong>&gt;</strong> ​Absence of government funding ​<strong>&gt;</strong> ​Lack of access ​<strong>&gt;</strong> ​Absence of Confidence ​&gt; ​Scarcity of work force ​<strong>&gt;</strong> ​Lack of security and safety ​<strong>&gt;</strong> ​Deficiency of surplus medical amenities ​<strong>&gt;</strong> ​Consumer attitude ​<strong>&gt;</strong> Absence of Supply Chain flexibility ​<strong>&gt;</strong> ​Communication problems.</p></div><div><h3>Conclusion</h3><p>In order to combat the pandemic, Industry 4.0 can play a key role in lowering the effect of identified issues on retailers. For the successful administration of healthcare basics, trust and openness are required. To enhance services, suppliers, distributors and policy makers should make informed decisions during COVID-19 and other comparable events. Therefore, suggested guidelines and framework will offer upcoming directions for research in fields of pandemic check, business logistics management, and catastrophe administration. Balance in supply and demand is the most significant attri","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"2 ","pages":"Pages 180-193"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345222000256/pdfft?md5=d77e006154e5d470bb08a25cbec93c56&pid=1-s2.0-S2667345222000256-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91756483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Convergence of Blockchain, k-medoids and homomorphic encryption for privacy preserving biomedical data classification 区块链、k-介质和同态加密的收敛性保护生物医学数据分类
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.05.006
Shamima Akter , Farhana Reza , Manik Ahmed

Data privacy on the Internet of Medical Things (IoMT) remains a critical concern when handling biomedical data. While extant studies focus on cryptography and differential privacy, few of them capture the utility and authenticity of data. As a result, data privacy remains the primary concern when training a machine learning (ML) model with IoMT data from various data sources/owners such as k − medoids. To overcome the above-mentioned issues, this study proposes secure ​k − medoids ​that are implemented together with Blockchain and partial homomorphic cryptosystem (Paillier) to ensure authenticity and protect all entities (i.e., data owner and data analyst) data privacy. The homomorphic property of Paillier is utilized to develop secure building blocks (i.e., secure polynomial operations, secure comparison, and secure biasing operations) to ensure data privacy and eliminate dependency on any third parties. We utilized three different biomedical datasets, and these are (I) Heart Disease Data (HDD), (II) Diabetes Data (DD), and (III) Breast Cancer Wisconsin Data (BCWD). Rigorous security analysis demonstrates that secure ​k − medoids ​protect against sensitive data breaches. It also showed superior performance in both BCWD (Accuracy 97.80%, Precision 96.83%, and Recall 99.80%) and HDD (Accuracy 82.50%, Precision 81.28%, and Recall 80.50%) datasets, respectively. However, similar performance was not reflected in the case of the DD dataset. Furthermore, the study explains why such performance results are observed. In addition, the proposed system has been proven to take less execution time compared to the extant studies.

在处理生物医学数据时,医疗物联网(IoMT)上的数据隐私仍然是一个关键问题。虽然现有的研究主要集中在密码学和差分隐私上,但很少有研究能够捕捉到数据的实用性和真实性。因此,当使用来自各种数据源/所有者(如k - medioid)的IoMT数据训练机器学习(ML)模型时,数据隐私仍然是主要关注的问题。为了克服上述问题,本研究提出了与区块链和部分同态密码系统(Paillier)一起实现的安全k -介质,以确保真实性并保护所有实体(即数据所有者和数据分析师)的数据隐私。利用Paillier的同态特性开发安全构建块(即安全多项式运算、安全比较、安全偏置运算),确保数据隐私,消除对任何第三方的依赖。我们使用了三种不同的生物医学数据集,它们是(I)心脏病数据(HDD), (II)糖尿病数据(DD)和(III)乳腺癌威斯康星州数据(BCWD)。严格的安全分析表明,安全的k -介质可以防止敏感数据泄露。它在BCWD(准确率97.80%,精度96.83%,召回率99.80%)和HDD(准确率82.50%,精度81.28%,召回率80.50%)数据集上也表现出优异的性能。然而,在DD数据集的情况下没有反映出类似的性能。此外,本研究还解释了为什么会观察到这样的性能结果。此外,与现有研究相比,所提出的系统已被证明需要更少的执行时间。
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引用次数: 6
Medical data security of wearable tele-rehabilitation under internet of things 物联网下可穿戴远程康复医疗数据安全
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.02.001
Ke Wang , Shuxuan Xie , Joel Rodrigues

The Internet of Things (IoT)-based intelligent medical system contains confidential and sensitive information of patients. Most of the data is related to the patient's medical information and physical information with a high degree of privacy. Therefore, the security and privacy of the data are very important. This study focuses on the privacy protection on information of data of patients during medical data sharing. First, the module structure of the IoT-based telemedicine system is analyzed. A lightweight and fine-grained retrieval and data sharing scheme is designed based on the Wireless Bodyarea Network (WBAN). The Ciphertext Policy Attribute Based Encryption (CP-ABE) scheme is improved mainly by incorporating a partial hidden encryption algorithm, and the improved one is defined as Attribute Partially Hidden Access Control (APHAC). Data users can only access the data when their attributes match the access policy formulated by the data owner. The simulation experiment factors into the storage overhead and computational overhead. The results show that when the number of attributes reaches 100, the APHAC scheme can save about 500 ​ms compared with the traditional CP-ABE scheme. As the number of attributes increases, only this scheme is stable, so it is more suitable for mobile devices. It can be concluded that the encrypted access control strategy proposed in this study avoids the excessive expenditure of end users in computing and storage resources while enabling users to have flexible access control.

基于物联网(IoT)的智能医疗系统包含患者的机密和敏感信息。大部分数据涉及患者的医疗信息和身体信息,具有高度的隐私性。因此,数据的安全性和隐私性是非常重要的。本研究的重点是医疗数据共享过程中患者数据信息的隐私保护。首先,分析了基于物联网的远程医疗系统的模块结构。设计了一种基于无线体域网络(WBAN)的轻量、细粒度检索和数据共享方案。对基于密文策略属性的加密(CP-ABE)方案进行了改进,主要是加入了部分隐藏的加密算法,并将改进后的算法定义为属性部分隐藏访问控制(APHAC)。数据用户的属性必须符合数据所有者制定的访问策略,才能访问该数据。仿真实验考虑了存储开销和计算开销。结果表明,当属性数达到100时,APHAC方案比传统的CP-ABE方案可节省约500 ms。随着属性数量的增加,只有这种方案是稳定的,所以更适合于移动设备。综上所述,本文提出的加密访问控制策略避免了终端用户在计算和存储资源上的过度支出,同时使用户具有灵活的访问控制。
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引用次数: 8
Understanding roles of virtual reality in radiology 了解虚拟现实在放射学中的作用
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.06.002
Mohd Javaid , Abid Haleem , Ravi Pratap Singh , Shahbaz Khan

Radiology includes a wide range of imaging technologies that use different technologies to capture patients' data. Virtual Reality (VR) is an innovative technology that provides a clear virtual image of a patient. We see the vast potential of VR to provide a positive impact in radiology. Most relevant papers on Virtual reality in Healthcare/Radiology are identified from Scopus, ScienceDirect, Google Scholar and ResearchGate. Paper tries to technologically explore VR and its applications to improve radiological training and learners' participation levels. Paper briefs about Virtual reality and its working process steps for radiology based clinical treatments. Supportive features of virtual reality in the broad radiology domain are discussed diagrammatically. This paper's primary strength is identifying and discussing thirteen significant VR applications in radiology. VR is an important technology that is viable for healthcare. With the integration of various components and software, it provides a complete virtual display. In the starting years, this technology was for entertainment purposes. Nowadays, this technology is used to visualise the internal structure. The patient's internal or external parts are used to create more integrated interaction, providing a better procedure for guidance. A radiologist can benefit from this technology for trainees' procedural planning, in-process guidance, detection, diagnosis, and education.

放射学包括广泛的成像技术,使用不同的技术来捕获患者的数据。虚拟现实(VR)是一项创新技术,可以提供清晰的患者虚拟图像。我们看到了VR在放射学方面的巨大潜力。大多数关于医疗保健/放射学中虚拟现实的相关论文来自Scopus, ScienceDirect, b谷歌Scholar和ResearchGate。论文试图从技术上探索VR及其应用,以提高放射学培训和学习者的参与水平。本文简要介绍了虚拟现实技术在放射学临床治疗中的应用。虚拟现实的支持功能,在广泛的放射学领域进行了图解讨论。本文的主要优势是识别和讨论放射学中13个重要的虚拟现实应用。虚拟现实是一项重要的医疗保健技术。它集成了各种组件和软件,提供了一个完整的虚拟显示。在最初的几年里,这项技术是为了娱乐目的。如今,这项技术被用于可视化内部结构。患者的内部或外部部分被用来创造更综合的互动,提供更好的指导程序。放射科医生可以从这项技术中受益,用于培训生的程序规划、过程指导、检测、诊断和教育。
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引用次数: 3
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
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.04.001
Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman

The Fourth Industrial Revolution may help many sectors and industries, whereas healthcare will be significantly impacted. Medical advances will be swifter, better and more effective, quickly providing medications to patients. It will act as a leveller for healthcare services by making them available to everybody. Medical 4.0 is the fourth medical revolution, employing emerging technologies to create significant advancements in healthcare. New medical 4.0 technology has advanced significantly, ranging from mobile computing to cloud computing, over the previous decade and is now ready to be employed as commercially accessible, networked systems. Expanding and with higher life expectancies, there is an enormous need for improved healthcare for older populations. This paper explores Medical 4.0 and its demand in the healthcare sector and discusses various progressive steps for Medical 4.0 implementation. Smart and Advanced Features of Medical 4.0 Practices are discussed diagrammatically. Medical 4.0 envisions a strongly interconnected health system. A hospital bed can be connected to the network and use patient data via the Internet of Things (IoT). Finally, this paper explores & provides the significant applications of Medical 4.0 for healthcare services. In addition to being creative, Medical 4.0 decreases the healthcare burden in affluent nations and offers good services to less developed countries, providing comprehensive and high-quality treatment. Medical 4.0 is characterised by technical discoveries and developments in the medical profession to encourage patient-centred therapy and drugs. This digital transformation, where patients' data will be electronically collected and utilised by technology to better understand and diagnose them, replaces the doctor-centric treatment techniques with a patient-centric paradigm.

第四次工业革命可能会帮助许多部门和行业,而医疗保健将受到重大影响。医学进步将更快、更好、更有效,迅速为患者提供药物。它将通过向每个人提供医疗保健服务来平衡医疗保健服务。医疗4.0是第四次医疗革命,利用新兴技术在医疗保健领域取得重大进展。新的医疗4.0技术在过去十年中取得了重大进展,从移动计算到云计算,现在已经准备好作为商业可访问的网络系统使用。随着预期寿命的扩大和延长,对改善老年人口保健的巨大需求。本文探讨了医疗4.0及其在医疗保健领域的需求,并讨论了医疗4.0实施的各种渐进步骤。以图表形式讨论了医疗4.0实践的智能和高级功能。医疗4.0设想了一个高度互联的卫生系统。病床可以连接到网络,并通过物联网(IoT)使用患者数据。最后,本文对&为医疗保健服务提供医疗4.0的重要应用。除了具有创造性之外,医疗4.0还减轻了富裕国家的医疗负担,并为欠发达国家提供了良好的服务,提供了全面和高质量的治疗。医疗4.0的特点是医疗行业的技术发现和发展,以鼓励以患者为中心的治疗和药物。在这种数字化转型中,患者的数据将以电子方式收集,并通过技术来更好地了解和诊断他们,以患者为中心的模式取代了以医生为中心的治疗技术。
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引用次数: 30
Digital twins to fight against COVID-19 pandemic 数字双胞胎对抗新冠肺炎疫情
Pub Date : 2022-01-01 DOI: 10.1016/j.iotcps.2022.05.003
Dongliang Chen , Nojoom A. AlNajem , Mohammad Shorfuzzaman

This study is aimed to explore the anti-epidemic effect of artificial intelligence (AI) algorithms such as digital twins on the COVID-2019 (novel coronavirus disease 2019), so that the information security and prediction accuracy of epidemic prevention and control (P & C) in smart cities can be further improved. It addresses the problems in the current public affairs governance strategy for the outbreak of the COVID-2019 epidemic, and uses digital twins technology to map the epidemic P & C situation in the real space to the virtual space. Then, the blockchain technology and deep learning algorithms are introduced to construct a digital twins model of the COVID-2019 epidemic (the COVID-DT model) based on blockchain combined with BiLSTM (Bi-directional Long Short-Term Memory). In addition, performance of the constructed COVID-DT model is analyzed through simulation. Analysis of network data security transmission performance reveals that the constructed COVID-DT model shows a lower average delay, its data message delivery rate (DMDR) is basically stable at 80%, and the data message disclosure rate (DMDCR) is basically stable at about 10%. The analysis on network communication cost suggests that the cost of this study does not exceed 700 bytes, and the prediction error does not exceed 10%. Therefore, the COVID-DT model constructed shows high network security performance while ensuring low latency performance, enabling more efficient and accurate interaction of information, which can provide experimental basis for information security and development trends of epidemic P & C in smart cities.

本研究旨在探讨数字孪生等人工智能(AI)算法对COVID-2019(新型冠状病毒病2019)的抗疫效果,使疫情防控的信息安全性和预测准确性(P &C)在智慧城市中可以进一步改善。针对当前新冠肺炎疫情公共事务治理战略中存在的问题,运用数字孪生技术绘制疫情分布图。C的情况在真实空间到虚拟空间。然后,引入区块链技术和深度学习算法,基于区块链结合BiLSTM(双向长短期记忆)构建COVID-2019疫情的数字孪生模型(COVID-DT模型)。此外,通过仿真分析了所构建的COVID-DT模型的性能。对网络数据安全传输性能的分析表明,构建的COVID-DT模型具有较低的平均时延,其数据报文投递率(DMDR)基本稳定在80%,数据报文披露率(DMDCR)基本稳定在10%左右。通过对网络通信成本的分析,本研究的成本不超过700字节,预测误差不超过10%。因此,所构建的COVID-DT模型在保证低延迟性能的同时,具有较高的网络安全性能,能够实现更高效、准确的信息交互,可为疫情防控信息安全和发展趋势提供实验依据;C在智慧城市。
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引用次数: 4
期刊
Internet of Things and Cyber-Physical Systems
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