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Article
Computer Science, Theory & Methods
Rong Han et al.
Summary: In a blockchain-based system, designing a feasible incentive mechanism becomes essential to improve system performance by regulating entity behaviors. This study proposes evaluation requirements and taxonomies for incentive mechanisms in blockchain systems. Through a thorough review, the study discusses the advantages and disadvantages of existing incentive mechanisms and identifies unresolved issues and potential directions for future research on the relationship between incentive mechanisms and blockchain.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Interdisciplinary Applications
Haoyu Yu et al.
Summary: In recent years, digital twin technology has become the primary method for achieving the intelligence of CNC systems. However, with the development of next-generation information technologies such as AI and its wide application in CNC systems, the limitation of computing power and network resources has become an urgent problem. To address this, a theoretical modeling method based on hierarchical structure is proposed, along with the introduction of edge intelligence technology and the development of model partitioning and selection algorithms to support real-time model response during deployment. An application case of an edge intelligence-driven DT for CNC systems is also provided to diagnose and predict tool wear during machining processes.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Rasha Al-Huthaifi et al.
Summary: Smart cities have emerged globally in the past decade, utilizing big data and the internet of things to enhance monitoring and integration of infrastructure systems, resulting in more efficient, livable, and sustainable cities. However, the increased vulnerability of big data to attacks and the implementation of stricter regulations for protecting user data present significant privacy and security challenges. Federated learning has gained attention as a method to address these challenges by distributing learning over decentralized data, providing privacy protection and artificial intelligence advantages. This study reviews the application of federated learning in smart city systems and discusses its benefits, drawbacks, research issues, and future directions, emphasizing the need for comprehensive testing to improve data protection and performance in smart cities.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Yang Xu et al.
Summary: Crowdfunding is a method of raising funds from the public for individual or organizational projects, which relies on gaining the trust of backers for success. However, fraudulent crowdfunding projects are prevalent on crowdfunding platforms. Although some platforms use third-party auditors for project verification, collusion risks exist. The introduction of blockchain has improved transparency in crowdfunding, but lacks fraud prevention measures. This study proposes a blockchain-based trust management mechanism for crowdfunding, introducing an auditor committee for credible project auditing and a random selection algorithm for committee generation, along with incentives for accurate audits.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Yue Wu et al.
Summary: With the development of new information technology, smart manufacturing has raised higher requirements for supply chain. Trust evaluation becomes extremely important in the supply chain, which is addressed by the emergence of blockchain technology. This paper proposes an integrated framework and an optimized model to enhance supply chain trust management from different perspectives.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Automation & Control Systems
Xiaolong Xu et al.
Summary: This article addresses the service offloading problem in digital twinning-empowered edge computing Internet of vehicles (IoV) systems. By proposing a service offloading method with deep reinforcement learning, the offloading decisions can be optimized, leading to improved service quality.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Imran Ahmed et al.
Summary: This article provides a comprehensive survey of AI and XAI-based methods in the context of Industry 4.0. It discusses the technologies enabling Industry 4.0, investigates the main methods used in the literature, and addresses the future research directions and the importance of responsible and human-centric AI and XAI systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Yuehua Liu et al.
Summary: This article presents an artificial intelligence-assisted distributed system for manufacturing plant-wide predictive maintenance applications. The system uses feature selection technique to identify optimal feature subset for each type of fault and deploys independent models on different edge nodes for efficient data processing and reduced network delay.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Hafiz Hashim et al.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Hardware & Architecture
Ikram Ud Din et al.
Summary: Internet of Things (IoT) provides a platform for wireless information sharing among connected nodes. This paper proposes a trust management mechanism, named ShareTrust, to maintain trustworthiness in resource sharing by allocating resources to nodes and aggregating trust degrees. Extensive simulations show that the proposed scheme performs better in the IoT environment.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Rajesh Kumar et al.
Summary: Modern industrial control systems are complex and require regular maintenance to ensure their reliability. However, most research overlooks the importance of information security. This paper presents a tool-supported risk analysis framework that helps practitioners make informed decisions, reduce disruptions, and find optimal trade-offs in system attributes.
COMPUTERS IN INDUSTRY
(2022)
Article
Automation & Control Systems
Y. P. Tsang et al.
Summary: This study proposes a review methodology to explore the role of AI in industrial design and formulates six core areas related to AI in this field. The study also discusses future research trends on sustainable design, trust in AI, and the integration of emerging technologies.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Computer Science, Hardware & Architecture
Shah Zeb et al.
Summary: By integrating communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry 4.0 promotes the integration of cyber-physical worlds through cyber-physical systems and digital twin. Digital twin plays a significant role in simulating, analyzing, and controlling real-time operations in smart industries. However, there is a lack of research on the role and requirements of these technologies in DT-enabled industries from the communication and computing perspective.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Wei Yu et al.
Summary: Energy digital twin technology, through digitalization, offers improvements in energy management and optimization, energy-efficient design, and integration with renewable energy. This review contributes to the field by developing a classification framework, summarizing applications, and proposing implementation strategies for reducing carbon and environmental footprints.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Civil
Siyi Liao et al.
Summary: This paper proposes a blockchain-enabled Digital Twin as a Service (DTaaS) for Intelligent Transportation Systems (ITS), which utilizes the sensing capabilities of ITS and the macro perspective of DT to achieve optimal DT matching and ensure participants' benefits. In addition, a permissioned blockchain and DT-DPoS consensus mechanism are employed to enhance security and efficiency.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Xiang Yu et al.
Summary: This paper presents a distributed edge computing anomaly detection model and algorithm that can accurately detect anomalies in both single-source and multi-source time series, with high efficiency and effectiveness.
APPLIED SOFT COMPUTING
(2022)
Article
Automation & Control Systems
Fath U. Min Ullah et al.
Summary: This article proposes an AI-enabled IIoT-based framework called VD-Net to intelligently detect and analyze violent scenes, improving the accuracy of surveillance systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Wei Feng et al.
Summary: Mobile crowdsourcing (MCS) is an effective data collection method, but centralized MCS faces security and privacy risks. Researchers propose a decentralized MCS system based on blockchain, but they lack anonymous authentication on trust. To address this, we propose a scheme using Intel software guard extension (SGX) to anonymously authenticate trust in a blockchain-based MCS system, considering the unique features of MCS and aggregating subjective feedback and objective behaviors for trust evaluation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Environmental Sciences
Yue Liu et al.
Summary: Self-healing concrete is an innovative construction material that can automatically repair cracks, reducing the need for maintenance and increasing the lifespan of concrete structures. Using waste materials to manufacture self-healing concrete can lower the cost and promote its application in practice.
ENVIRONMENTAL RESEARCH
(2022)
Article
Computer Science, Information Systems
Rui Zhang et al.
Summary: This article proposes a Truth Detection based Task Assignment (TDTA) scheme to ensure data reliability in an industrial environment. The scheme includes direct and indirect truth detection methods, as well as considerations for result integrity and delay. The most credible workers are selected to execute tasks, resulting in higher resource utilization and accuracy of task results.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Hardware & Architecture
Irune Yarza et al.
Summary: This article introduces a collaborative analysis framework for safety and security in heterogeneous high-performance embedded computing devices. The proposed methodology follows an incremental top-down strategy and is applied to the case study of the Zynq UltraScale+ MPSoC device.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Article
Computer Science, Information Systems
Stefan Mihai et al.
Summary: Digital Twin is an emerging technology that replicates the elements of a physical system into a digital counterpart, allowing for seamless monitoring, analysis, evaluation, and predictions. However, challenges such as complex communication and data accumulation, data scarcity for training Machine Learning models, and lack of processing power for high fidelity twins hinder the development of this technology.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Review
Engineering, Industrial
Yiping Gao et al.
Summary: This paper presents a comprehensive review of recent advances in vision-based defect recognition, providing insights into different methods and their characteristics, advantages, disadvantages, and application scenarios. It also discusses performance metrics and future development trends.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Telecommunications
Haoxiang Han et al.
Summary: This paper conducts an in-depth survey and evaluation of blockchain-based data integrity auditing for cloud data. It proposes requirements for evaluating existing schemes and provides a comprehensive review and analysis of the current solutions. Additionally, it explores open issues and suggests future research directions.
DIGITAL COMMUNICATIONS AND NETWORKS
(2022)
Proceedings Paper
Automation & Control Systems
Farah Abdoune et al.
Summary: This paper introduces the concept of digital twins as a major concept for future industrial systems, aiming to enable virtualization of manufacturing systems and enhance decision-making processes. By reviewing the literature combining artificial intelligence and digital twins, it is found that there is a lack of research on the whole life cycle. The main contribution of this paper is to define a global integration framework of AI into digital twins and illustrate its potential through a case study.
Proceedings Paper
Automation & Control Systems
Yunming Zhao et al.
Summary: This paper introduces the application of digital twin systems and federated learning in Industrial Internet of Things to optimize the structure and improve communication efficiency.
Proceedings Paper
Computer Science, Theory & Methods
Grover Aruquipa et al.
Summary: This work presents an IoT architecture for detecting anomalies in motors with vibration sensors using a real-time autoencoder and a new bio-inspired control architecture. Unlike other approaches, the behavior of the anomaly detection system is analyzed in real time, aiming to meet the new requirements for real-time processing and scalability in control systems. An implemented neural network controls anomalies based on a bio-inspired architecture and achieves anomaly detection in the time domain through evaluating different models based on recurrent neural networks. In addition, the latency of each system component is evaluated to identify possible bottlenecks in real-time operation. The system is implemented on a prototype conveyor belt using low-cost accelerometers, commercial-use microcontrollers, and free software.
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
(2022)
Article
Computer Science, Hardware & Architecture
Irune Yarza et al.
Summary: The article discusses the challenges faced by next-generation dependable embedded systems in terms of functionality and software complexity, and proposes a collaborative safety and security analysis framework and methodology to be implemented following an incremental top-down strategy.
MICROPROCESSORS AND MICROSYSTEMS
(2022)
Review
Construction & Building Technology
Faris Elghaish et al.
Summary: The study examines the integration of Blockchain with the Internet of Things in engineering and construction industries, identifying both progress and limitations in related research. The concept of Blockchain of Things (BCoT) is introduced, highlighting its potential uses in the construction sector.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Computer Science, Information Systems
Ada Bagozi et al.
Summary: This paper presents a multi-level parallelization approach for clustering massive data streams in smart factories, utilizing different parallelization levels for efficient processing and anomaly detection. By tuning different parallelization levels according to data complexity and critical conditions, the approach aims to achieve scalability and efficiency in processing massive data streams.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Ruohe Huang et al.
Summary: The paper proposes an efficient and novel real-time kernel function stream clustering method based on shared nearest neighbor density for IIoT. By utilizing projection technology for dimension selection and using the Euler kernel function as a similarity measure, it effectively addresses the challenging issue of real-time stream clustering in IIoT streaming mining.
INFORMATION SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Dianlei Xu et al.
Summary: Edge intelligence refers to a connected system of devices for data processing based on AI at the edge where data is captured. It aims to enhance data processing capabilities and ensure data privacy and security. This research field has shown significant growth in recent years, with a focus on systematic classification and comprehensive analysis of proposed and deployed systems.
PROCEEDINGS OF THE IEEE
(2021)
Article
Computer Science, Information Systems
Hansong Xu et al.
Summary: Cybertwin and 6G-IIoT are critical technologies in creating digital counterparts for physical systems and enabling near-instant interconnectivity in the industrial domain. Integrated design for 6G-IIoT is challenging, but cybertwin serves as an ideal proving ground for this, lacking artificial intelligence for automated design. The use of machine learning and deep reinforcement learning in the cybertwin model shows effectiveness and efficiency for conducting integrated design on the 3C of 6G-IIoT.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Tong Zhang et al.
Summary: Edge computing, as a new paradigm extending computing from cloud center to the edge of network, offers advantages of low latency and potential to address energy consuming, bandwidth burden, and security issue. Although it shows promising applications and development prospects in Industrial Internet, there are still some unresolved issues to be tackled.
INFORMATION SCIENCES
(2021)
Article
Engineering, Industrial
Huiyue Huang et al.
Summary: This paper introduces a novel Digital Twin-driven anomaly detection framework for real-time health monitoring and anomaly prediction of industrial systems using edge intelligence technology. The adoption of Digital Twin technology enables efficient data processing and high-performance anomaly detection in industrial systems.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Hesham El-Sayed et al.
Summary: The goal of vehicular networking is to enhance road safety and alleviate traffic congestion. A trust management system is proposed to identify the trustworthiness of individual vehicles and detect malicious drivers. The hybrid solution integrates edge computing and multi-agent modeling and outperforms similar approaches in addressing major security challenges in vehicular networks.
MICROPROCESSORS AND MICROSYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Kwang-Cheng Chen et al.
Summary: Smart manufacturing based on AI and ICT will be a major driver of the digital economy in the coming decades. To achieve flexible production, it is essential to holistically integrate wireless networking, computing, and automatic control technologies. This article discusses the challenges of this complex system engineering from a wireless networking perspective.
PROCEEDINGS OF THE IEEE
(2021)
Article
Automation & Control Systems
Ye Liu et al.
Summary: The previous industrial revolutions transformed the agriculture industry from indigenous farming to mechanized farming and recent precision agriculture. Industry 4.0 is expected to reshape the agriculture industry and promote the fourth agricultural revolution. This article discusses the applications and challenges of emerging technologies in the agricultural sector and aims to provide new research opportunities for readers.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Weiwei Fang et al.
Summary: Motivated by 5G communications and industrial IoT, the article introduces an on-demand DNN model inference system EdgeKE for industrial edge devices, focusing on knowledge distillation and early exit as design knobs to improve accuracy and speed. Extensive evaluations on CIFAR100 dataset and three state-of-the-art edge devices show that EdgeKE outperforms baseline models in terms of inference latency and memory footprint, while maintaining competitive classification accuracy. Additionally, EdgeKE is efficiently adaptive to application requirements, with accuracy loss within 4.84% under various latency constraints and speedup ratio up to 3.30x under different accuracy requirements.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Theory & Methods
Cheng Zhang et al.
Summary: Industrial data plays a crucial role in the industrial internet, and blockchain technology is introduced to ensure its security, especially with the increasing number of IIoT devices. A trustworthy industrial data management scheme based on redactable blockchain is proposed, which utilizes a double-blockchain architecture and distributed technologies to address security and accountability issues effectively.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2021)
Article
Computer Science, Information Systems
Xi Lin et al.
Summary: In a smart city, IoV can assist in achieving flexible computing resource demand response by sharing idle vehicle computing resources. To ensure transaction security and privacy in the system, a consortium blockchain approach is employed without involving a centralized trusted third-party. Additionally, a two-stage Stackelberg game is constructed to encourage individual smart vehicles to participate and optimize utilities of buyers and sellers.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Tao Yang et al.
Summary: This paper proposes a new mode of intelligent manufacturing for the process industry, which involves the deep integration of industrial artificial intelligence and the Industrial Internet. It analyzes the existing three-tier structure and decision-making processes of the process industry, describes the significance of an intelligent manufacturing framework, and envisions intelligent optimal decision-making and autonomous control systems in the future.
Review
Telecommunications
Li Peng et al.
Summary: The paper analyzed the characteristics, potential privacy threats, and unique privacy requirements of permissionless blockchain, evaluated existing privacy preservation technologies based on proposed criteria, and identified open research issues and future research directions from the perspective of privacy issues.
DIGITAL COMMUNICATIONS AND NETWORKS
(2021)
Article
Computer Science, Hardware & Architecture
Jun Wu et al.
Article
Automation & Control Systems
Gaolei Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2020)
Article
Automation & Control Systems
Xi Lin et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2019)
