A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

Qinxia, Hao; Nazir, Shah; Gao, Xueke; Ma, Li; Ilyas, Muhammad

doi:10.1155/2021/6661272

Cited by 11 publications

(7 citation statements)

References 48 publications

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“…Aiming at the inability of the evaluation framework to deal with complex fuzzy indicators, Huang proposed the fuzzy layering theory from the perspective of the Internet of ings for the first time by measuring the evaluation indicators of teaching quality [13]. Multi-criteria-based decision-making is a major problem facing the IIoT research community and practitioners, and Hao et al provided several decision support systems to make decisions that have the potential to support the activities of the decision-making process [14]. Although many people have done a lot of research on the Internet of ings algorithm and decisionmaking risk style, few people have introduced these two into the research on the path of rural revitalization and the rule of law.…”

Section: Introductionmentioning

confidence: 99%

Legal Path of Rural Revitalization for Decision-Making Risk Prevention of Internet of Things Algorithm

Wen-qiang

Ding²

2022

International Transactions on Electrical Energy Systems

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The implementation of the rural revitalization strategy is an important strategic plan to solve the social “three rural” problems on the new road of building a socialist modernized country in an all-round way. It is also the current society to promote the comprehensive rule of law and to create and improve a modern rural social governance system under the leadership of the party committee, the government is responsible, the society is coordinated, and the country is governed by law. However, due to the wide distribution of rural areas and the large population base of farmers, there are many risks in the implementation of the rural revitalization strategy. In the comprehensive use of economic, administrative, and legal means, legal means has become the key. For this reason, this article conducted in-depth research on the legal path of rural revitalization under the risk prevention of Internet of Things algorithm decision-making. The research results showed that the risk prevention of Internet of Things algorithm decision-making was introduced into the research on the legal path of rural revitalization, and a sound rural governance system that combined autonomy, rule of law, and morality is an important part of the revitalization of seven villages. It can improve the 2.67% effectiveness of risk prevention in decision-making and can also play a key role in ruling the country according to law, showing the correct direction of agricultural legal system construction and at the same time high-level rural construction and development under the framework of the rule of law. It will vigorously promote the comprehensive modernization of agriculture, the comprehensive progress of rural areas, and the revitalization and development of rural areas.

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Section: Introductionmentioning

confidence: 99%

Legal Path of Rural Revitalization for Decision-Making Risk Prevention of Internet of Things Algorithm

Wen-qiang

Ding²

2022

International Transactions on Electrical Energy Systems

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“…However, they did not consider the security and fault-tolerance of the applications. Fault-tolerant aware SOA is discussed in [2]. The goal was to minimize the failure risks and exploit the primary backup method to handle any SOA architecture failure.…”

Section: Related Workmentioning

confidence: 99%

“…Real world applications of the digital transformation of technologies such as the Industrial Internet of Things (IIoT) posses many advantages [1]. Such applications belong to the eagriculture, e-healthcare, e-transport, e-servicing, and augmented fields [2]. Cloud computing is an incipient archetype which offers services based on Service-Oriented Architecture (SOA) [3].…”

Section: Introductionmentioning

confidence: 99%

A Microservice-Based System for Industrial Internet of Things in Fog-Cloud Assisted Network

Khoso

Lakhan

Ahmed

et al. 2021

Eng. Technol. Appl. Sci. Res.

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Nowadays, the usage of the Industrial Internet of Things (IIoT) in practical applications has increased. The primary utilization is a fog cloud network, which offers different services, such as network and remote edges, at different places. Existing studies implemented the Service-Oriented Architecture (SOA) based on the fog-cloud network to run IIoT applications, such as e-healthcare, e-agriculture, renewable energy, etc. However, due to the applications' monolithic property, issues like failures, security, and cost factors occur, e.g. the failure of one service in SOA affects monolithic applications' performance in the system. With this motivation, this study suggests a microservice-based system to deal with the cost, security, and failure risks of IIoT applications in the fog-cloud system. The study improves the existing SOA systems for e-healthcare, e-agriculture, and renewable energy and minimizes the applications' overall cost. The performance evaluation shows that the devised systems outperform the existing SOA system in terms of failure, cost, and the deadline for all applications.

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“…Results have showed that orientation policy of the USA tends to favor demandside policy, political and education, public services, and training policies are favored, whereas policy preferences, public services, technical, scientific development and political favored by Germany and environmental-side policy, political, legal and regulatory, and public service policies by China [44]. Various other approaches have been suggested in the literature in the area of IoT [45,46].…”

Section: Cyber-security and Industry Researches Have Been Donementioning

confidence: 99%

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

et al. 2021

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In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in-depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.

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A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

Cited by 11 publications

References 48 publications

Legal Path of Rural Revitalization for Decision-Making Risk Prevention of Internet of Things Algorithm

Legal Path of Rural Revitalization for Decision-Making Risk Prevention of Internet of Things Algorithm

A Microservice-Based System for Industrial Internet of Things in Fog-Cloud Assisted Network

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

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