Article
Computer Science, Software Engineering
Jaehyun Ahn, Haifa Gaza, Juhyeok Lee, Hyeongchan Kim, Jaewook Byun
Summary: The international standard GS1 EPCIS has brought data transparency to supply chains and logistics in the era of the Internet of Things by officially supporting sensor data and Semantic Web in its major release of v2.0 in July 2022. Oliot EPCIS is an open-source Web information system that aims to fully comply with the data format and service interface requirements of the standard. This paper presents the challenges faced by a highly scalable EPCIS system and how the proposed system addresses these challenges. We share quantitative and qualitative evaluations compared to existing open sources.
Article
Computer Science, Information Systems
Mabrook S. Al-Rakhami, Majed Al-Mashari
Summary: The global food system has significant economic value, making food quality crucial for consumers, employees, and entrepreneurs. The Industrial Internet of Things (IIoT) offers a solution to address issues in the food industry but faces challenges regarding data storage and item tracing. This paper proposes the ProChain framework, which utilizes provenance data to overcome these challenges.
Article
Computer Science, Information Systems
Muhammad Rehan, Abdul Rehman Javed, Natalia Kryvinska, Thippa Reddy Gadekallu, Gautam Srivastava, Zunera Jalil
Summary: Supply chain management (SCM) is pivotal in the industrial life cycle, with on-time delivery and transportation mode importance for safe and secure supply. The use of Industrial Internet of Things (IIoT) and blockchain platforms (like Ethereum) improves tracking, security, and transaction speed. This research proposes SCMIIOT, a novel approach that maintains traceability, data integrity, and achieves fast transaction through the use of sensor devices, 5G, and distributed database systems. Experimental results show the effectiveness of SCMIIOT, with fast file copying, block creation, and peer-to-peer connection times.
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Izhar Ahmed Khan, Nour Moustafa, Dechang Pi, Yasir Hussain, Nauman Ali Khan
Summary: This article proposes a federated learning-based efficient detection model called DFF-SC4N to proactively identify intrusions from SC 4.0 networks using distributed local data training. The accuracy of the global model is optimized by an aggregating model, which updates from multiple servers and SC 4.0 networks. Extensive experiments on real industrial network data demonstrate that DFF-SC4N outperforms both centralized training models and state-of-the-art peer methods in protecting SC 4.0 networks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Alexandros Fragkiadakis
Summary: This paper introduces the use of IoT technology to automate supply chain traceability processes, and presents a work-in-progress IoT-based platform for supply chain monitoring that can collect supply chain data and IoT sensor data formatted according to GS1 standards.
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
(2021)
Article
Construction & Building Technology
Zaheer Abbas Kazmi, Mahmoud Sodangi
Summary: This study systematically identifies and prioritizes the crucial factors that hinder the adoption of IoT in off-site construction. The lack of a clear strategy for governing IoT utilization in supply chain management is found to be the most significant factor. The outcomes of this study provide valuable insights for off-site construction businesses to understand the implications and expectations of utilizing IoT technologies.
Article
Chemistry, Analytical
Neda Azizi, Heliyeh Malekzadeh, Peyman Akhavan, Omid Haass, Shahrzad Saremi, Seyedali Mirjalili
Summary: This study aims to build smart supply chains for the first time using the internet of things (IoT) and blockchain. It employs a mixed method approach including qualitative methods like Delphi method and quantitative methods like Dematel method, to classify causal relationships and identify indicators of smart supply chain within the IoT and blockchain framework.
Article
Computer Science, Information Systems
Yash Madhwal, Yury Yanovich, S. Balachander, K. Harshini Poojaa, R. Saranya, B. Subashini
Summary: This article presents a Proof of Concept that integrates IoT devices with blockchain technology to address challenges in traditional supply chain systems. By enabling IoT devices to autonomously sign transactions to the blockchain, the need for external wallets is eliminated, providing scalability, efficiency, and real-time responsiveness benefits.
Article
Computer Science, Information Systems
Muhammad Nasir Mumtaz Bhutta, Muneer Ahmad
Summary: The food supply chain process involves crops collection, food processing, transportation, and delivery to wholesalers, with fresh food spoilage increasing over time due to the slow supply chain and challenges in identifying and tracking goods. Automation and key technologies like IoT, RFID, and WSN benefit supply chain management, but there is a need to address concerns about data tampering.
Article
Engineering, Industrial
Sandor Boyson, Thomas M. Corsi, John -Patrick Paraskevas
Summary: Digital Supply Chains (DSCs) are highly integrated global internet communities that include customers, distributors, producers, and suppliers. These chains have increasingly adopted Internet of Things (IoT) innovations and served as effective platforms for IoT technology diffusion. However, the proliferation of IoT has also opened new cyber threat windows. Cyber-Supply Chain Risk Management (C-SCRM) has emerged as a critical discipline to combat digital supply chain attacks, but there is limited evidence on the effectiveness of C-SCRM practices. A decade-long research provides the first statistical analysis of the effects of adopting policies and practices defined within the U.S. National Institute of Standards and Technology (NIST) Cybersecurity Framework on an organization's breach profile. The findings lay the foundation for an evidence-based approach to defending global digital supply chains.
Article
Chemistry, Analytical
He Liu, Biao Yang, Xuanrui Xiong, Shuaiqi Zhu, Boyu Chen, Amr Tolba, Xingguo Zhang
Summary: Internet of Things (IoT) finance uses IoT technology to extend financial services to the entire physical commodity society, achieving financial automation and intelligence. The security of IoT finance needs improvement, and blockchain is gradually being applied to the field to address issues in traditional supply chain finance. This paper presents a financial management platform that integrates blockchain and supply chain, synchronizes the bank account payment system, automates fund flow, process supervision, and settlement based on smart contracts.
Article
Mathematics
Linkai Zhu, Shanwen Hu, Xiaolian Zhu, Changpu Meng, Maoyi Huang
Summary: This paper proposes an innovative framework that utilizes Trusted Execution Environment (TEE) and blockchain technology to address the data security and privacy challenges in federated learning for IoT supply chain management. The framework achieves secure local data computation and tampering resistance of data update uploads using TEE and blockchain. The effectiveness of the proposed framework is validated through experiments with different participants and datasets.
Review
Green & Sustainable Science & Technology
Yasser Khan, Mazliham Bin Mohd Su'ud, Muhammad Mansoor Alam, Syed Fayaz Ahmad, Ahmad Y. A. Bani Ahmad (Ayassrah), Nasir Khan
Summary: This article explores the advantages of the smart supply chain management system through studying the traditional supply chain system and the implementation of smart objects and IoT. It comprehends the concepts of safety, cost reduction, inventory management, and decision-making, as well as the application of IoT in product distribution and shop modification.
Article
Computer Science, Interdisciplinary Applications
Sanjeev Yadav, Sunil Luthra, Anil Kumar, Rohit Agrawal, Guilherme F. F. Frederico
Summary: This study explores the mediating role of digital technologies-based supply chain integrating strategies on agri-supply chain performance and firm performance. The results show a significant positive correlation between IoT-based digital technologies and supply chain processes, as well as a positive association between supply chain practices and SCP. It is also found that FP is positively impacted by SCP.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Construction & Building Technology
Xiao Li, Weisheng Lu, Fan Xue, Liupengfei Wu, Rui Zhao, Jinfeng Lou, Jinying Xu
Summary: This study proposes a novel system architecture for a blockchain-enabled IoT-BIM platform and confirms its effectiveness in supply chain management through a case study.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Jaewook Byun, Sungpil Woo, Daeyoung Kim
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2020)
Article
Computer Science, Artificial Intelligence
Jaewook Byun, Daeyoung Kim
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
Article
Nutrition & Dietetics
Jing Wu, Klaus Fuchs, Jie Lian, Mirella Lindsay Haldimann, Tanja Schneider, Simon Mayer, Jaewook Byun, Roland Gassmann, Christine Brombach, Elgar Fleisch
Summary: In light of the increasing prevalence of diet-related chronic diseases globally, there is an urgent need for scalable and non-invasive dietary monitoring techniques. Digital receipts from loyalty cards can serve as objective and traceable markers for individual food choice behavior, without requiring manual logging of meal items.
Article
Computer Science, Artificial Intelligence
Jaewook Byun
Summary: This paper proposes a novel time-centric computation approach for efficient all-pairs temporal graph traversals. The approach simplifies program logic and reduces the burden of coding, and is expected to enhance performance by reusing intermediate results. The effectiveness of the proposed approach is evaluated through experiments and discussions on handling ever-evolving real-world temporal networks.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Software Engineering
Jaehyun Ahn, Haifa Gaza, Juhyeok Lee, Hyeongchan Kim, Jaewook Byun
Summary: The international standard GS1 EPCIS has brought data transparency to supply chains and logistics in the era of the Internet of Things by officially supporting sensor data and Semantic Web in its major release of v2.0 in July 2022. Oliot EPCIS is an open-source Web information system that aims to fully comply with the data format and service interface requirements of the standard. This paper presents the challenges faced by a highly scalable EPCIS system and how the proposed system addresses these challenges. We share quantitative and qualitative evaluations compared to existing open sources.
Proceedings Paper
Computer Science, Information Systems
Jaewook Byun, Sungpil Woo, Daeyoung Kim
2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020)
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Sungpil Woo, Jaehee Ha, Jaewook Byun, Kiwoong Kwon, Yalew Tolcha, Daeyoun Kang, Hoang Minh Nguyen, Myungchul Kim, Daeyoung Kim
2017 13TH IEEE WORLD CONGRESS ON SERVICES (SERVICES)
(2017)
Article
Computer Science, Interdisciplinary Applications
Jaewook Byun, Sungpil Woo, Daeyoung Kim
COMPUTERS IN INDUSTRY
(2017)
Proceedings Paper
Computer Science, Hardware & Architecture
Jongseok Choi, Minkeun Ha, Janggwan Im, Jaewook Byun, Kiwoong Kwon, Wondeuk Yoon, Dongsoo Kim, Sehyeon Heo, Daeyoung Kim
2015 INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN INTERNET OF THINGS (RIOT)
(2015)
Proceedings Paper
Computer Science, Theory & Methods
Jaewook Byun, Daeyoung Kim
2015 IEEE INTERNATIONAL CONFERENCE ON RFID (RFID)
(2015)
Proceedings Paper
Computer Science, Theory & Methods
Jaewook Byun, Seong Hoon Kim, Daeyoung Kim
2014 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2014)
(2014)
Article
Computer Science, Interdisciplinary Applications
Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini
Summary: More than one in four workers worldwide suffer from back pain, resulting in the loss of 264 million work days annually. In the U.S., it costs $50 billion in healthcare expenses each year, rising up to $100 billion when accounting for decreased productivity and lost wages. The impending Industry 5.0 revolution emphasizes worker well-being and their rights, such as privacy, autonomy, and human dignity. This paper proposes a privacy-preserving artificial intelligence system that monitors the posture of assembly line workers. The system accurately assesses upper-body and lower-body postures while respecting privacy, enabling the detection of harmful posture habits and reducing the likelihood of musculoskeletal disorders.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Xavier Boucher, Camilo Murillo Coba, Damien Lamy
Summary: This paper explores the new business strategies of digital servitization and smart PSS delivery, and develops conceptual prototypes of smart PSS value offers for early stages of the design process. It presents the development and experimentation of a modelling language and toolkit, and applies it to the design of a smart PSS in the field of heating appliances.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Dieudonne Tchuente, Jerry Lonlac, Bernard Kamsu-Foguem
Summary: Artificial Intelligence (AI) is becoming increasingly important in various sectors of society. However, the black box nature of most AI techniques such as Machine Learning (ML) hinders their practical application. This has led to the emergence of Explainable artificial intelligence (XAI), which aims to provide AI-based decision-making processes and outcomes that are easily understood, interpreted, and justified by humans. While there has been a significant amount of research on XAI, there is currently a lack of studies on its practical applications. To address this research gap, this article proposes a comprehensive review of the business applications of XAI and a six-step framework to improve its implementation and adoption by practitioners.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Francois-Alexandre Tremblay, Audrey Durand, Michael Morin, Philippe Marier, Jonathan Gaudreault
Summary: Continuous high-frequency wood drying, integrated with a traditional wood finishing line, improves the value of lumber by correcting moisture content piece by piece. Using reinforcement learning for continuous drying operation policies outperforms current industry methods and remains robust to sudden disturbances.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Luyao Xia, Jianfeng Lu, Yuqian Lu, Wentao Gao, Yuhang Fan, Yuhao Xu, Hao Zhang
Summary: Efficient assembly sequence planning is crucial for enhancing production efficiency, ensuring product quality, and meeting market demands. This study proposes a dynamic graph learning algorithm called assembly-oriented graph attention sequence (A-GASeq), which optimizes the assembly graph structure to guide the search for optimal assembly sequences. The algorithm demonstrates superiority and broad utility in real-world scenarios.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, Gentry Wood, Max Zimmermann, Florian Hannesen, Christophe Bescond, Priti Wanjara, Yaoyao Fiona Zhao
Summary: Metal-based additive manufacturing can achieve fully dense metallic components, and the application of machine learning in this field has been growing rapidly. However, there is a lack of framework to manage these machine learning models and guidance on the fundamental requirements for a cross-disciplinary platform to support process-based machine learning models in industrial metal AM.
COMPUTERS IN INDUSTRY
(2024)