Article
Engineering, Electrical & Electronic
Zhenning Yang, Kye Yak See, Muhammad Faeyz Karim, Arjuna Weerasinghe
Summary: The vialess passive metamaterial-based QPSK modulated chipless RFID tag integrated with a partial discharge sensor allows for monitoring electrical assets, detecting PD events, and tracing them back to specific assets for prompt corrective action to prevent further degradation and premature failure of the assets.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Dongbo Zhong, Jialin Zhou, Guangjie Liu, Manjit Kaur, Ran Li, Dilbag Singh
Summary: Radio-frequency identification (RFID) technology allows for fast and accurate data acquisition of objects without touch. However, existing methods for identifying missing tags do not address the issue of missing unknown tags. Therefore, we propose a priority-based strategy to improve the identification process.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ge Wang, Shouqian Shi, Huazhe Wang, Yi Liu, Chen Qian, Cong Zhao, Wei Xi, Han Ding, Zhiping Jiang, Jizhong Zhao
Summary: Spotlight is a concurrent rate-adaptive reading system in passive RFIDs. It effectively addresses the challenges of tag collisions, unpredictable user behaviors, and multipath-prevalent environments. Through multichannel features and real-time MU-MIMO beamforming, Spotlight achieves high-efficiency tag reading and online parallel decoding for improved throughput.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Health Care Sciences & Services
Megumi Tamura, Takeshi Kawamoto, Minoru Ishifuro, Takayuki Tamura, Yoshifumi Masumoto, Masahiro Kenjo, Masao Kiguchi, Kazuo Awai, Yasushi Nagata
Summary: This study developed a radio frequency identification (RFID) gate system that can identify incorrectly positioned dosimeters and alert workers through lights and alarms. The system demonstrated high classification performance and safety for life support devices.
JOURNAL OF MEDICAL SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jian Su, Jialin Zhou, Zhengguo Sheng, Alex X. Liu, Shiming Yu, Mengnan Jiang
Summary: This article introduces a bit-tracking-based protocol for accelerating the RFID identification process. By using bit tracking technology to locate collision bit positions and converting collision slots into resolvable slots, the identification efficiency is improved.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Hermenegildo Gomes, Francisco Navio, Pedro D. Gaspar, Vasco N. G. J. Soares, Joao M. L. P. Caldeira
Summary: This study presents a case study of implementing an RFID traceability system in the packaging section of an industrial company. The results demonstrate the potential of RFID technology in improving production efficiency, reducing asset identification and tracking time, and enhancing traceability within industrial production processes.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Guoyi Xu, Pragya Sharma, Xiaonan Hui, Edwin C. Kan
Summary: The article presents an indoor device-free object detection system using commercial radio frequency identification technology and passive tags to generate reflectivity images for object recognition. Through testing with a 1:6 room model and real-scale rooms, successful occupant recognition and varying levels of precision in locating objects were achieved.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Information Systems
Pulkit Jain, Paras Chawla, Mehedi Masud, Shubham Mahajan, Amit Kant Pandit
Summary: This paper presents an automated identification algorithm for computer vision in smart refrigerators using deep learning algorithms. The designed module and algorithm based on InceptionV3 and MobileNet convolutional neural networks are evaluated for accuracy on standard fruits and vegetable datasets, and real-time testing results are presented to validate the system's performance.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Automation & Control Systems
Victor Casamayor-Pujol, Bernat Gaston, Sergio Lopez-Soriano, Abdussalam A. Alajami, Rafael Pous
Summary: This article presents a simple solution using an autonomous ground robot with a radio frequency identification payload to estimate the location of products in a retail store. The model used is designed to be simple and versatile, while achieving accurate location estimations. The research results show that the model performs well in different environments and meets the business requirements of the retail industry.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Environmental
Sundra R. Tatiparthi, Yashika G. De Costa, Colin N. Whittaker, Shihu Hu, Zhiguo Yuan, Ray Y. Zhong, Wei-Qin Zhuang
Summary: Sanitary and stormwater sewers are crucial assets for disease prevention and health risk reduction, but their hidden nature poses challenges for maintenance. Current technologies for monitoring sewer conditions are costly and labor-intensive, while smart sensor systems provide a more efficient real-time monitoring solution. The study developed UHF RFID-based sensors for quick surveys and demonstrated their effectiveness in monitoring blockages, illicit connections, and water flow in sewer networks.
Article
Engineering, Electrical & Electronic
Javad Aliasgari, Parya Fathi, Mohammadali Forouzandeh, Nemai Karmakar
Summary: The article introduces a new design solution for an IR-UWB reader, which utilizes frequency translation method in the receiver to significantly reduce the cost, complexity, and noise bandwidth. By implementing this solution, a reading range competitive with state-of-the-art readers has been achieved, while also reducing complexity, reading time, and cost.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Hardware & Architecture
Chao Yang, Xuyu Wang, Shiwen Mao
Summary: A real-time 3-D human pose estimation system based on RFID tags and deep learning is proposed in this study, achieving high accuracy pose tracking through calibrating RFID data and completing missing data. Experimental results demonstrate that the system is capable of efficiently reconstructing human pose in realtime.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Engineering, Electrical & Electronic
Xiuyan Liang, Yongtao Ma, Chenglong Tian, Wanru Ning, Bobo Wang, Yanxi Fu
Summary: This article introduces DIMAR, an algorithm that uses a UHF RFID system to identify dielectric materials through a mobile tag. The algorithm analyzes the influence of material reflection on received signal strength from the perspective of electric fields by blocking the line-of-sight link between the reader and tag. The algorithm solves the mathematical model using covariance matrix adaptation evolution strategy and reduces noise using density-based spatial clustering algorithm. Experimental results show that DIMAR achieves superior identification accuracy even in multipath environments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Florian Muralter, Michael Hani, Hugo Landaluce, Asier Perallos, Erwin M. Biebl
Summary: This article introduces a measurement platform for harmonic characterization of UHF RFID chips, using a DSO to measure the incident and reflected waves at the RFID chip terminals and presenting a novel signal-processing methodology. The obtained measurement results were validated by simultaneous measurement with a vector network analyzer and compared to real-time sampling and power spectral density analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Samuel Ver Hoeye, Miguel Fernandez, Leticia Alonso, Carlos Vazquez Antuna, Pascal Ghekiere, Javier Ardura Casas
Summary: This work presents a UHF broadband surface-independent textile RFID tag, which is manufactured using textile technology. The tag has a large read range and integration level, and can be manufactured in a single step using conventional textile machinery.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Operations Research & Management Science
Shahriar Akter, Katina Michael, Muhammad Rajib Uddin, Grace McCarthy, Mahfuzur Rahman
Summary: This study examines digital business transformation through the exploration of four emerging technologies: artificial intelligence, blockchain, cloud, and data analytics (ABCD). The findings highlight the wide-ranging applications and value propositions of these technologies in various vertical sectors, suggesting potential future research directions. Additionally, the study emphasizes the practical implications of these new technologies.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Mingxing Li, Ray Y. Zhong, Ting Qu, George Q. Huang
Summary: Cyber-physical systems (CPS) hold great potential in smart manufacturing, but the complexity and uncertainty of manufacturing optimization remain a challenge. This paper introduces a novel divide and conquer approach, Spatial-Temporal Out-Of-Order execution (ST-OOO), to decompose the complex optimization problem into smaller subproblems and generate a global solution through rolling spatiotemporal execution.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Computer Science, Interdisciplinary Applications
Chen Yang, Shulin Lan, Tingyu Lin, Lihui Wang, Zilong Zhuang, George Q. Huang
Summary: Hong Kong's warehousing industry is undergoing a transformation towards automation and efficiency driven by e-commerce growth and regional competition. A new business model incorporating a warehousing equipment supplier as a third party is proposed to address the lack of technical capability and motivation among stakeholders. Cooperative game theory is used to analyze profit distribution, essential conditions for success, and factors affecting efficiency in the new model.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Industrial
Xiang T. R. Kong, Miaohui Zhu, Yu Liu, Kaida Qin, George Q. Huang
Summary: This paper introduces an order batching approach based on an automated system to minimize the processing time and system response time of auction orders. The proposed method achieves better efficiency in order processing according to computational experiments.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Operations Research & Management Science
Shahriar Akter, Mohammad Rajib Uddin, Shahriar Sajib, Wai Jin Thomas Lee, Katina Michael, Mohammad Alamgir Hossain
Summary: Data breaches pose a formidable challenge to business operations in the twenty-first century. This research aims to identify the various dimensions of cybersecurity awareness capabilities. The findings highlight personnel, management, and infrastructure capabilities as thematic dimensions to tackle cybersecurity awareness challenges.
ANNALS OF OPERATIONS RESEARCH
(2022)
Editorial Material
Engineering, Electrical & Electronic
Roba Abbas, Katina Michael
IEEE TECHNOLOGY AND SOCIETY MAGAZINE
(2022)
Editorial Material
Engineering, Electrical & Electronic
Katina Michael
IEEE TECHNOLOGY AND SOCIETY MAGAZINE
(2022)
Article
Health Care Sciences & Services
George Roussos, Teresa Ruiz Herrero, Derek L. Hill, Ariel Dowling, Martijn L. T. M. Muller, Luc J. W. Evers, Jackson Burton, Adrian Derungs, Katherine Fisher, Krishna Praneeth Kilambi, Nitin Mehrotra, Roopal Bhatnagar, Sakshi Sardar, Diane Stephenson, Jamie L. Adams, E. Ray Dorsey, Josh Cosman
Summary: This paper introduces a conceptual framework to assist clinical research teams in investigating specific concepts of interest within particular contexts of use, and identify, characterize, and mitigate the influence of SoVs.
NPJ DIGITAL MEDICINE
(2022)
Editorial Material
Engineering, Electrical & Electronic
Nishan Chelvachandran, Katina Michael
IEEE TECHNOLOGY AND SOCIETY MAGAZINE
(2022)
Article
Computer Science, Artificial Intelligence
Shiquan Ling, Daqiang Guo, Mingxing Li, Yiming Rong, George Q. Huang
Summary: An assembly cell line (ACL) is a type of cell production practice that was derived from the Toyota Production System and has been rapidly adopted in various industries. It allows workers to perform multiple tasks throughout the entire product assembly process by dividing the conveyor line into assembly cells. However, the lack of real-time information sharing makes it difficult to coordinate the capacities of different assembly cells in complex manufacturing environments. To address this issue, this paper proposes a smart ACL system that uses artificial intelligence and IoT technologies to synchronize demand and capacity, improving production efficiency.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Electrical & Electronic
Salah Hamdoun, Rebecca Monteleone, Terri Bookman, Katina Michael
Summary: Mental health and well-being have become increasingly important in public health discussions, especially due to the COVID-19 pandemic revealing significant gaps in existing mental health services. This article specifically examines the implications of digital mental health applications in the form of chatbots, which utilize conversational artificial intelligence to provide support and assistance.
IEEE TECHNOLOGY AND SOCIETY MAGAZINE
(2023)
Article
Clinical Neurology
Sanne Broeder, George Roussos, Joni De Vleeschhauwer, Nicholas D'Cruz, Jean-Jacques Orban de Xivry, Alice Nieuwboer
Summary: This study aims to assess the feasibility and accuracy of a smartphone-based tapping task to distinguish medication status in Parkinson's disease patients. The study found that the task compliance was good and it can effectively discriminate between ON-OFF states. However, replication of these results in a wider sample is needed to confirm the reliability of the findings.
JOURNAL OF NEURAL TRANSMISSION
(2023)
Article
Computer Science, Interdisciplinary Applications
S. Y. Wang, George Q. Huang
Summary: In an Industry 4.0 Factory, physical entities are digitized into digital twins with smart IoT devices, resulting in Cyber-Physical Production Systems (CPPS). Real-time data analytics provides traceability and visibility in both the physical and cyber domains. This paper introduces the concept of cyber-physical inventory, or meta-inventory, to Industry 4.0 CPPS. The use of meta-inventory can reduce complexity and uncertainties, and achieve resilience without incurring holding costs.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Interdisciplinary Applications
Arjun Rachana Harish, X. L. Liu, Ming Li, Ray Y. Zhong, George Q. Huang
Summary: E-commerce logistics financing drives growth in small and medium-sized logistics companies, but faces challenges in information asymmetry, hidden centrality, and information ownership opaqueness. Blockchain technology is considered promising to address these concerns through shared ledger, smart contracts, and tokens. This study introduces a blockchain-enabled cyberphysical traceability system for logistics financing based on digital asset tokenization, bringing visibility and traceability to supply chain transactions. The system's design and implementation are presented, along with its application in logistics financing, which offers resolution and reduced upfront expenditure for stakeholders.
COMPUTERS IN INDUSTRY
(2023)
Proceedings Paper
Computer Science, Information Systems
Mingxing Li, Daqiang Guo, George Q. Huang
Summary: The widespread adoption of Industry 4.0 technologies in factories is transforming manufacturing operations management. Real-time data are acknowledged as beneficial for this management, and utilizing these data to facilitate production and intralogistics operations is an emerging challenge. This study proposes the concept of operation twins for achieving synchronized PiL operations based on three dimensions of synchronization.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V
(2021)
