Article
Computer Science, Information Systems
Chengkun Jiang, Yuan He, Xiaolong Zheng, Yunhao Liu
Summary: The research proposes an orientation-aware RFID tracking approach, OmniTrack, to address the accuracy degradation issue caused by existing orientation-oblivious models. Experimental results demonstrate that OmniTrack has significant advantages in tracking the location and orientation of a mobile tag.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Saransh Sharma, Khalil B. Ramadi, Nikhil H. Poole, Shriya S. Srinivasan, Keiko Ishida, Johannes Kuosmanen, Josh Jenkins, Fatemeh Aghlmand, Margaret B. Swift, Mikhail G. Shapiro, Giovanni Traverso, Azita Emami
Summary: Wireless ingestible microdevices can be tracked in real time and with millimetre-scale resolution through the GI tract by generating three-dimensional magnetic field gradients using high-efficiency planar electromagnetic coils. This technology has the potential to improve the diagnosis and treatment of GI disorders by enabling quantitative assessment of GI transit-time, precision targeting of therapeutic interventions, and minimally invasive procedures.
NATURE ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Risheng Liu, Qianru Chen, Yuansheng Yao, Xin Fan, Zhongxuan Luo
Summary: This article proposes a location-aware and regularization-adaptive CF (LRCF) for robust visual tracking, which addresses both the location estimation and filter training problems through a bilevel optimization model. Experimental results demonstrate the superior performance of the LRCF framework in practice.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Agronomy
Shilei Lyu, Qiafeng Li, Zhen Li, Hengmao Liang, Jiayu Chen, Yuanyuan Liu, Huixian Huang
Summary: This study addresses the issue of real-time monitoring and control of transporters in mountain orchard terrains. The study proposes accurate location-aware methods based on RFID technology and designs a multimode control gateway system based on LoRa and 5G. Experimental results demonstrate that these methods and systems can improve the intelligence and safety of monorail transporters.
Article
Engineering, Electrical & Electronic
Santanu Kumar Behera, Nemai Chandra Karmakar
Summary: The field of flexible electronics has been receiving significant research attention due to the growing market demand for lightweight and compact devices. The mass fabrication of flexible-electronic printed products, such as RFID tags, wireless sensors, and touchpads, requires knowledge of additive production techniques and suitable substrates.
IEEE MICROWAVE MAGAZINE
(2021)
Article
Computer Science, Artificial Intelligence
Jiafeng Li, Bin Li, Guodong Ding, Li Zhuo
Summary: This paper proposes a SiamGLA algorithm to address the issue of balancing algorithmic efficiency and accuracy in tracking applications. The algorithm improves feature representation through an internal feature combination (IFC) module, enhances classification ability with a global-aware (GA) attention module, and improves regression performance with a location-aware (LA) attention module. Comprehensive experiments demonstrate that SiamGLA is effective, robust and has good generalization ability, while requiring fewer calculations and parameters for practical applications.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2023)
Article
Chemistry, Analytical
Yu Yamauchi, Nobuhiro Shimoi
Summary: Aging population and declining birthrate in Japan have caused a shortage of human resources in the medical and long-term care industries. Falls are reported to account for over 50% of accidents in nursing homes. Commercially available bed-release sensors, such as clip sensors, mat sensors, and infrared sensors, are used in hospitals and nursing care facilities. A simple and inexpensive bed-monitoring system using RFID technology is proposed to detect bed activity and prevent fall accidents, with the aim of improving quality of life. The system incorporates an RFID antenna and tags, and experimental results show promising detection rates for classifying different postures.
Article
Environmental Sciences
R. McQueen, P. Ashmore, T. Millard, N. Goeller
Summary: The study tracked bed particles using tracer and LiDAR surveys in a section of the San Juan River, revealing a close relationship between particle movements and channel morphological changes, particularly the development and re-working of bars. Tracer transport was primarily limited to a short distance, with deposition and burial focused along bar margins, showcasing the importance of bar dynamics in bedload transport processes in bar-dominated channels.
WATER RESOURCES RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Chun-Hung Cheng, Yong-Hong Kuo, Ho Lam, Matthew Petering
Summary: The paper proposes an RFID-based location-positioning platform for managing cart operations at vast and fast-moving distribution facilities. By enabling real-time location of tagged objects, the system saves time for staff and increases operational efficiency. In the application at an airmail center, the system also reduces the chances of delays and misplacements of mail bags.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Alireza Namadmalan, Maeve Duffy
Summary: This article presents a straightforward design algorithm to enhance power and data transmission for 13.56 MHz RFID sensor applications using domino-resonators. The algorithm models the transformed transponder impedance and modulation depth seen at the reader antenna under the presence of domino-resonators. It considers the voltage-clamped mode of the tag IC for accurate calculation of maximum readable distance, transferred power, and equivalent tag IC impedance. The designed five-coil RFID system is implemented for enhancing the distance between a commercial 13.56 MHz RFID reader and ISO/IEC 14443A standard RFID tag IC.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Lei Kang, Lan Chen, Luyi Liu, Zhichong Wan, Guochun Wan, Liyu Xie
Summary: Large bridges and structures are at risk of both mechanical collapse and structural degeneration due to inadequate environmental monitoring. This research develops a reusable multiparameter sensor for detecting temperature and humidity, using a portable and low-cost vector network analyzer. The sensor's viability is proven by comparing and evaluating its performance with various substrates and assessing its humidity and temperature sensitivity.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Amirhossein Karami-Horestani, Ferran Paredes, Ferran Martin
Summary: This article presents a novel concept for electromagnetic encoders that achieve high data density and remarkable performance through a hybrid scheme combining frequency and time domains. The proposed system can be used for chipless RFID systems or position and velocity sensors, providing high-precision positioning information.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Jesus Burgueno, Isabel De-la-Bandera, Raquel Barco
Summary: The location of user equipments allows customization of services and optimization of network resources; the combination of location-aware methods and 5G features enhances network performance; selecting nodes based on user experience can improve network performance.
Review
Computer Science, Information Systems
Asmat Ullah Khan, Lizhen Huang, Erling Onstein, Yongping Liu
Summary: This study evaluates the impact of emerging technologies such as digital twin and internet of things on the performance of construction equipment using a mixed review methodology. It provides insights into improving machine productivity and identifies key areas of equipment operation. Circumstantial issues affecting machine operation and loopholes in existing innovative tools are also highlighted.
Article
Agriculture, Dairy & Animal Science
J. E. Doornweerd, G. Kootstra, R. F. Veerkamp, B. de Klerk, I. Fodor, M. van der Sluis, A. C. Bouwman, E. D. Ellen
Summary: Phenotyping individual animals can be challenging and time-consuming, especially for traits related to health and performance. However, individual broiler behavior can serve as a reliable proxy for these traits when recorded automatically using sensors. In this study, a comparison was made between a passive RFID system and video tracking for determining the location and movement of broilers.
Article
Computer Science, Information Systems
Shady A. Mohammed, Ayse Rumeysa Mohammed, David Cote, Shervin Shirmohammadi
Summary: In Network Operation Centers (NOC), failure management and cost-aware traffic engineering are important tasks performed by expert technicians. To automate part of this process, an Action Recommendation Engine (ARE) is introduced in this paper to learn implicit NOC action rules from historical data.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Boon-Yaik Ooi, Woan-Lin Beh, Xin-Yi Kh'ng, Soung-Yue Liew, Shervin Shirmohammadi
Summary: This paper proposes the construction of a low-cost wireless vibration sensor using a 3-axis accelerometer and Wi-Fi microchip, and solves the inaccuracy issue of the direct-read-and-send method through compressive sampling technique, enabling the sensor to continuously and efficiently measure vibration data in an IoT environment.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Majid Ghosian Moghaddam, Ali Asghar Nazari Shirehjini, Shervin Shirmohammadi
Summary: In this article, a novel method combining channel state information (CSI) and received signal strength indicator (RSSI) signals is proposed to improve the performance of device-free fine-grained human activity recognition (HAR) using WiFi data. The method is evaluated using a dataset of 12 human-to-human fine-grained interactions and various classification methods. The results show that the method achieves high accuracy, precision, recall, F1-score, k-score, and area under the curve (AUC) in the recognition of seven human-to-human interactions using random forest (RF).
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Liansheng Liu, Zhuo Zhi, Yufei Yang, Shervin Shirmohammadi, Datong Liu
Summary: The condition of the harmonic reducer is important for the availability of industrial robots. A fault detection method utilizing the acoustic emission (AE) signal is proposed, consisting of two unique algorithms. This method effectively reduces noise and achieves fault detection through feature extraction and signal optimization.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Hardware & Architecture
Xinjue Hu, Chenchen Wang, Lin Zhang, Guo Chen, Shervin Shirmohammadi
Summary: The Light field (LF) is a technique that describes the light rays emitted at each point in a scene, and it can be used for six-degrees-of-freedom (6DOF) immersive media. Similar to multiview video, LF is captured by an array of cameras, resulting in a large data volume that needs to be streamed to users. Rendering virtual viewpoints in real-time from the directly captured viewpoints places high demands on computing and caching capabilities. Edge computing (EC) brings computation resources closer to users and can enable real-time LF viewpoint rendering.
Article
Computer Science, Information Systems
Xinjue Hu, Yuxuan Pan, Yumei Wang, Lin Zhang, Shervin Shirmohammadi
Summary: This paper proposes a dynamic adaptive LF video transmission scheme that achieves high compression and near-distortion-free LF video under stable network conditions. It also introduces a description scheduling algorithm for unstable network conditions, which can decode the LF video with the highest quality even with partial and/or delayed data. Experimental results show that the scheduling algorithm improves decoding quality by 3% to 15%. Compared with similar schemes, our system greatly improves the reliability of the video streaming system against packet loss/error and supports heterogeneous receivers.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Computer Science, Information Systems
Sa'di Altamimi, Basel Altamimi, David Cote, Shervin Shirmohammadi
Summary: Today's Network Operation Centres (NOC) are responsible for monitoring and maintaining the health of networks. As networks become larger and more complex, it has become necessary to automate some or all NOC tasks for efficiency. This article investigates the possibility of achieving superintelligence in an autonomous NOC using reinforcement learning, showing that it can outperform human-designed expert rules and improve network recovery.
Article
Engineering, Electrical & Electronic
Jana Rusrus, Shervin Shirmohammadi, Martin Bouchard
Summary: This article evaluates the performance of a deep learning classification system for localizing moving sound sources and investigates the impact of key parameters in feature extraction and model training. The results show that window size has a significant effect on the performance of moving sources but not static sources, sequence length affects the performance of recurrent architectures, and a temporal convolutional neural network outperforms recurrent and feedforward networks for moving sound sources.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi
Summary: This paper proposes a Block-Level Just Noticeable Distortion-based Perceptual (BL-JUNIPER) framework for video coding, which combines different perceptual information to improve prediction accuracy. By adjusting the quantization parameter based on JND levels and visual importance, better compression performance can be achieved.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Proceedings Paper
Instruments & Instrumentation
Majid Ghosian Moghaddam, Ali Asghar Nazari Shirehjini, Shervin Shirmohammadi
Summary: This paper proposes a new approach for recognizing fine-grained human activities using CSI and RSSI WiFi data, achieving a high accuracy rate of 97.5%.
2022 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2022)
(2022)
Article
Engineering, Electrical & Electronic
Hossein Ebrahimi Dinaki, Shervin Shirmohammadi, Emil Janulewicz, David Cote
Summary: This research proposes a method for predicting QoE for networked video service providers using deep learning technique BiLSTM-CNN. The method aims to proactively address service delivery issues by accurately forecasting user experience quality (QoE).
IEEE OPEN JOURNAL OF SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Ayse Rumeysa Mohammed, Shady A. Mohammed, David Cote, Shervin Shirmohammadi
Summary: The article proposes a machine learning method for automatically detecting network status and localizing faults, achieving accuracies of up to 99% on a dataset collected through an emulated network. This method outperforms existing works in classifying network status between normal, congestion, and network fault.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Hussein Al Osman, Shervin Shirmohammadi
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
(2021)
Correction
Engineering, Electrical & Electronic
Shervin Shirmohammadi, Luca Mari, Dario Petri
Summary: The paper discusses a common incorrect visual representation of accuracy and precision, and points out a graphical mistake in Figure 6. Researchers have corrected the error and emphasized the correct depiction.
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
(2021)
Article
Computer Science, Information Systems
Hamed Ahmadi, Saman Zadtootaghaj, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi
Summary: This study introduces a method of integrating visual attention into cloud gaming, which can effectively reduce bitrate, improve visual optimization, and personalize optimization based on the player's skill level.
