Article
Computer Science, Interdisciplinary Applications
Jinying Xu, Jinfeng Lou, Weisheng Lu, Liupengfei Wu, Chen Chen
Summary: Ensuring material provenance is a promising solution to material fraudulence in the construction industry. However, current logistics and supply chain strategies hinder provenance tracing due to intermediaries and low technologies. This research develops a deployable framework for material provenance tracing by applying cross-sectoral learning, design science research, and IoT and blockchain technology. The framework includes four interconnected layers - business layer, IoT layer, blockchain layer, and application layer - to facilitate the management of quality, safety, payment, logistics, and sustainability. A pilot construction project in Hong Kong is used to illustrate and refine the framework, which shows great prospects but also faces challenges requiring future research, such as regulations, scalability, and information leakage risks.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Green & Sustainable Science & Technology
Zeeshan Hussain, Adnan Akhunzada, Javed Iqbal, Iram Bibi, Abdullah Gani
Summary: The Industrial Internet of Things is driving smart manufacturing and industrial automation, but it is also a target for cyber attacks. A novel hybrid architecture utilizing deep learning is proposed to effectively combat botnet attacks in Industrial IoT. The approach is evaluated on a state-of-the-art dataset and shows promising results in terms of high detection accuracy with reasonable speed efficiency.
Article
Chemistry, Analytical
Lihua Shen, Zhibin Zhang, Youmei Zhou, Yingying Xu
Summary: Animal husbandry plays a crucial role in China's agriculture, contributing significantly to the country's agricultural output and farmers' income. However, this industry faces risks from production and operation, such as disease outbreaks and market fluctuations. Livestock insurance can help mitigate these risks, but the lack of reliable shed environment data has hindered its effectiveness. This study proposes a livestock shed environmental regulatory platform that utilizes blockchain and the Internet of Things to ensure data authenticity, real-time monitoring, and transparency in the regulatory process, while also automating the insurance process to reduce costs and improve efficiency.
Article
Computer Science, Information Systems
Ziaur Rahman, Xun Yi, Ibrahim Khalil
Summary: Industry 4.0 focuses on concurrent, secure, and fine-grained operations. The use of Internet of Things edge sensors and their data is crucial in today's industry. However, there are challenges such as APT injection attacks, insecure data transportation, trust inconsistencies, and incompliant data storing mechanisms. This article proposes a blockchain and artificial intelligence-aligned APT detection system that enables efficient detection at the edge, transparent recording of detection history, and trust boost among collaborators.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Jae-Hoon Kim, Seungchul Lee, Sengphil Hong
Summary: IoT networks typically consist of many sensors and actuators, and blockchain technology can enhance data security in IoT. Lightweight blockchain provides practical blockchain availability for IoT networks, with essential operational advances to improve reliability. The proposed graph neural network technique enhances dApp efficiency across IoT networks, and the blockchain technology is highly implementable in software.
Review
Food Science & Technology
Abdo Hassoun, Abderrahmane Ait-Kaddour, Adnan M. Abu-Mahfouz, Nikheel Bhojraj Rathod, Farah Bader, Francisco J. Barba, Alessandra Biancolillo, Janna Cropotova, Charis M. Galanakis, Anet Rezek Jambrak, Jose M. Lorenzo, Ingrid Mage, Fatih Ozogul, Joe Regenstein
Summary: Climate change, population growth, food waste, and the risk of new disease outbreaks pose significant challenges to food sustainability and global security. Industry 4.0 technologies have emerged as a vital driver for sustainable development, transforming the food industry and offering solutions to these challenges. However, groundbreaking sustainable solutions can only be achieved by combining multiple technologies simultaneously.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Computer Science, Information Systems
Rishav Singh, Tanveer Ahmed, Amit Kumar Singh, Prasenjit Chanak, Sanjay Kumar Singh
Summary: This article explores the classification of brain signals using smart IoT sensors in healthcare and presents a secure privacy-preserving technique for this purpose. By transforming brain signals into images, applying transfer learning, and utilizing blockchain for image storage, the proposed technique addresses the challenges in classifying brain signals effectively.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Mohammed Alshehri
Summary: Smart Livestock Farming (SLF) is an approach that utilizes technological advances to improve economic viability, operational efficacy, and ecological sustainability in the cattle industry. Among the most promising areas of smart livestock farming is extensive livestock farming, in which individual animals are monitored and studied. The IoT and Blockchain technologies play a crucial role in creating a transparent and safe exchange between farmers, as well as tracking the production processes and ensuring food safety.
INTERNET OF THINGS
(2023)
Review
Chemistry, Applied
Xiaochi Zhou, Markus Kraft
Summary: This article presents the application of blockchain and smart contracts in the chemical and related industries, and discusses the future trends.
ANNUAL REVIEW OF CHEMICAL AND BIOMOLECULAR ENGINEERING
(2022)
Article
Computer Science, Information Systems
Yulei Wu, Hong-Ning Dai, Hao Wang
Summary: Critical infrastructure systems in Industry 4.0 are facing challenges in security and scalability. The convergence of blockchain and edge computing is expected to address these issues and provide secure and scalable critical infrastructures. Current research is mainly focused on security, privacy, and scalability in this area.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Chemical
Zeinab Shahbazi, Yung-Cheol Byun, Ho-Young Kwak
Summary: The article introduces a blockchain-based smart home approach, providing more security and performance improvements for smart home systems. By using DRL algorithm combined with blockchain, the system's accuracy and precision are enhanced, and the experimental results show that this method outperforms existing works.
Article
Computer Science, Information Systems
Mustufa Haider Abidi, Hisham Alkhalefah, Muneer Khan Mohammed
Summary: In modern scenarios, blockchain technology in Industry 4.0 enhances privacy, data transparency, and security. This paper proposes a deep learning-based approach for a secure and optimized IoT blockchain in Industry 4.0, and experimental results show its superiority over other methods.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
Jusik Yun, Yunyeong Goh, Jong-Moon Chung
Summary: This article proposes a deep network shard-based blockchain scheme that dynamically finds the optimal throughput configuration by analyzing the latency and security-level characteristics of sharded blockchain. Using deep reinforcement learning, the system parameters are optimized to achieve higher TPS and security level by adapting to the network status. Simulation results show that this DQNSB scheme provides a higher TPS compared to existing DRL-enabled blockchain technology while maintaining a high security level.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Feng Yu, Hui Lin, Xiaoding Wang, Abdussalam Yassine, M. Shamim Hossain
Summary: The article introduces a Blockchain-based Federated Learning system which addresses the single point failure and malicious behaviors in FL systems, enhancing security and scalability. It also discusses the challenges and opportunities of future BFL systems in terms of security, cost, and scalability.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Mahdi R. Alagheband, Atefeh Mashatan
Summary: This survey paper discusses the security and privacy issues in the IoT and introduces advanced cryptosystems including encryption primitives and cryptographic accumulators. The paper provides comparison tables and diverse use cases, as well as guidelines for selecting the appropriate encryption mechanisms in different scenarios.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Chemistry, Analytical
Jinsu Kim, Namje Park
Summary: This paper proposes a mechanism that provides identification information at different levels of authority, minimizes the leakage of biometric information by de-identifying metadata and face information, and classifies access rights to unidentified data to prevent reckless data access.
Article
Green & Sustainable Science & Technology
Eunsun Choi, Youngmi Choi, Namje Park
Summary: This article introduces a blockchain-centered educational program and demonstrates its effectiveness in improving students' digital literacy, cultural literacy, and numeracy through implementation and analysis on elementary school students in Korea. The findings are significant for promoting inclusive and equitable quality education.
Article
Green & Sustainable Science & Technology
Eunsun Choi, Youngmi Choi, Namje Park
Summary: The blockchain education program based on the ASSURE model proposed in this article is valuable for blended learning during the COVID-19 pandemic. Learning games are used to facilitate self-directed learning. The program was developed following the six steps of the ASSURE model, including learner assessment, objective definition, gamification teaching method, testing and evaluating learning materials, designing learning games, and assessing and modifying the program using experts' feedback analyzed through technical statistics and topic modeling.
Article
Energy & Fuels
Sadiqa Jafari, Zeinab Shahbazi, Yung-Cheol Byun
Summary: This paper proposes a hybrid framework for predicting the state of health of lithium-ion batteries used in electric vehicles, using the extreme gradient boosting algorithm. The model is optimized through error analysis and a state of health estimation method is proposed. Experimental results show that the model is capable of more accurate prediction.
Article
Environmental Sciences
Zeinab Shahbazi, Yung-Cheol Byun
Summary: Social media evidence is a hot topic in digital forensics, and exploring social media information correctly can provide important support for investigating various crimes. The use of natural language processing and blockchain technology in digital forensic investigations ensures data security and demonstrates the potential of the system.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Chemistry, Analytical
Subhajit Chatterjee, Yung-Cheol Byun
Summary: Electric kickboards play a crucial role in smart transportation networks, providing a safe, economical, and environmentally friendly mode of short-distance travel. This study developed a forecasting model using real-time data and weather information from Jeju Island, South Korea. By employing cluster analysis on the rental patterns of electric kickboards, the accuracy of the forecasting model is enhanced.
Article
Chemistry, Analytical
Yongjun Kim, Yung-Cheol Byun
Summary: This research aims to enhance the design of an AR-based participatory business card information system, which includes acquiring contextual information from paper business cards and transmitting it to mobile devices through a server. It also facilitates interactivity between users and content through a screen interface and provides multimedia business content via image markers recognized by users. The AR business card system designed in this research incorporates visual information and interactive elements, enriching users' overall experience while adhering to strict quality control measures.
Article
Agronomy
Jampani Satish Babu, Smitha Chowdary Ch, Debnath Bhattacharyya, Yungcheol Byun
Summary: Estimating the acreage of menthol mint using remote sensing technology can reduce uncertainty in menthol mint output. The Bheemunipatnam taluk in the Vishakhapatnam district is the most productive area for growing menthol mint. The total acreage of menthol mint crop in the study region is estimated to be around 58,000,284.70 ha.
Article
Chemistry, Analytical
Jinsu Kim, Eunsun Choi, Byung-Gyu Kim, Namje Park
Summary: Advancements in sensor technology and small communication devices have greatly influenced the mass spread of mobility services for users with limited resources. Shared services and subscription models are replacing one-off costs, and there is a need for enhanced data reliability in shared mobility services. Simplifying the mining process for state updates in public blockchains can alleviate the high-performance requirements and prevent resource-centered centralization by assigning token-based block creation authority.
Article
Chemistry, Multidisciplinary
Eunsun Choi, Jinsu Kim, Namje Park
Summary: To address the rising demand for technological comprehension and creativity in the ICT era, we have developed a hyper-blended educational model and program. By incorporating innovative pedagogical methods and forward-looking subjects, we have successfully fostered creative thinking and ICT understanding across diverse domains. Our program's high satisfaction scores and statistical significance demonstrate its success in equipping participants for future challenges. Rating: 8/10.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Jiyoung Ko, Yung-Cheol Byun
Summary: In this study, the factors affecting rental demand for shared electric mobility vehicles were analyzed using actual data. Different machine learning models were compared, and an ensemble technique was used to reduce errors and improve prediction accuracy. The analysis revealed the significant influence of factors such as humidity, precipitation, and solar radiation on rental demand.
Article
Materials Science, Multidisciplinary
Ayman A. Althuwayb, Nasr Rashid, Osama I. Elhamrawy, Khaled Kaaniche, Imran Khan, Yung-Cheol Byun, Dag Oivind Madsen
Summary: This paper proposes a novel broadband filter for THz applications, which overcomes the issues of insertion loss and bandwidth by modeling a frequency-domain finite difference method and guided-mode resonance. It has better performance compared to existing models.
FRONTIERS IN MATERIALS
(2023)
Article
Energy & Fuels
Elfizon Elfizon, Jose Ricardo Nunez Alvarez, Abdeljelil Chammam, Ibrahim H. Al-Kharsan, Muhsin J. Jweeg, Patricio Yanez-Moretta, Reza Alayi, Imran Khan, Yung-Cheol Byun, Dag oivind Madsen
Summary: This research proposes the design and use of combined systems for the simultaneous production of water, heat, and energy, and models the multi-effect evaporative desalination and combined heat and power generation system to meet the demands of a hotel. By using an energy storage tank, the combined system can reduce annual costs.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Sadiqa Jafari, Yung-Cheol Byun
Summary: This study introduces an innovative hybrid deep learning model that combines CNN and GRU architectures to improve the accuracy and stability of predicting the RUL of LIBs. The model excels in extracting intricate features from diverse data sources and harnesses the strengths of both CNNs and GRU networks to achieve superior prediction accuracy.
Article
Computer Science, Information Systems
Sadiqa Jafari, Yung-Cheol Byun, Seokjun Ko
Summary: The study introduces a hybrid model utilizing machine learning techniques to accurately estimate the remaining useful life and energy of lithium-ion batteries, providing valuable insights for evaluating battery health and deterioration over time.
