Review
Engineering, Multidisciplinary
Yi Huang, Yaochun Shen, Jiayou Wang
Summary: THz technology is a key enabling technology for both imaging and wireless communications, and it is expected to be used in 6G and future wireless communication systems.
Article
Environmental Sciences
Deqiang Wu, Lei Xie
Summary: This study examines the potential effects of Industry 4.0 on supply chain management practices and performance. The results show that by implementing Industry 4.0 technologies, businesses can significantly improve supply chain performance through strategies like integration, sharing, and transparency.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Clinical Neurology
Charlotte M. Ermine, Andrew Bivard, Mark W. Parsons, Jean-Claude Baron
Summary: This review highlights the advances in ischemic stroke treatment, covering the understanding of the penumbra, development of imaging techniques, and research on therapies. Forty years of critical imaging research on the ischemic penumbra has extended the treatment time window, aiding in better patient selection for reperfusion therapy.
INTERNATIONAL JOURNAL OF STROKE
(2021)
Article
Computer Science, Information Systems
Gusang Lee, Won Joon Yun, Yoo Jeong Ha, Soyi Jung, Jiyeon Kim, Sunghoon Hong, Joongheon Kim, Youn Kyu Lee
Summary: This paper reports on a measurement study of fluctuations in data rates as the number of users increases while sharing point cloud information in real-time VR environments over IEEE 802.11ac wireless networks, as well as an analysis of fluctuations in frames-per-second and Jitters, practical quality reduction indicators.
Article
Chemistry, Multidisciplinary
Yilin He, Amus Chee Yuen Goay, Anthony Chun Yin Yuen, Deepak Mishra, Yang Zhou, Teng Lu, Danyang Wang, Yun Liu, Cyrille Boyer, Chun H. Wang, Jin Zhang
Summary: This study introduces a novel method to improve the output performance of triboelectric nanogenerators (TENGs) by constructing Schottky junctions and using composite fiber mats. The TENGs with these enhancements achieve significantly higher output power and are utilized to power RFID tags for backscatter communication systems, increasing the communication range.
Article
Computer Science, Information Systems
Mohammed H. Alsharif, Mahmoud A. Albreem, Abu Jahid, Kannadasan Raju, Peerapong Uthansakul, Jamel Nebhen, Venkatesan Chandrasekaran, Ayman A. Aly
Summary: Green wireless networking is gaining attention in both academia and industry due to its economic and ecological benefits. Utilizing renewable energy sources for wireless infrastructures can enhance sustainability and provide uninterrupted power supply to cellular base stations in urban areas.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Information Systems
Mohammed H. Alsharif, Kannadasan Raju, Abu Jahid, Mahmoud A. Albreem, Peerapong Uthansakul, Jamel Nebhen, Venkatesan Chandrasekaran
Summary: Green wireless networks or energy-efficient wireless networks have become a popular research topic due to concerns about the environment and expenses among cellular operators. Utilizing renewable energy technologies to meet the specific power supply requirements of cellular base stations can lead to significant cost savings and decrease in greenhouse gas emissions. The proposed solar-powered base stations in Oman show potential for considerable savings and offer economic, technical, and ecological benefits to cellular operators.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Construction & Building Technology
Elijah Wyckoff, Marlan Ball, Fernando Moreu
Summary: This research addresses the issue of incomplete contextual information provided by sensor data by using augmented reality to provide real-time vibration information to humans. The experiment demonstrates that augmenting sensor data in real time can enhance the efficiency and comprehensiveness of experimentation for operators.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Computer Science, Hardware & Architecture
Jiayi Zhang, Heng Liu, Qingqing Wu, Yu Jin, Yuanbin Chen, Bo Ai, Shi Jin, Tie Jun Cui
Summary: The article discusses the novel concept of RIS-aided HST wireless communication, providing practical solutions to overcome challenges and suggesting promising research directions for future exploration.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Optics
Lei Zhang, Jiaquan Cao, Shengyang Wu, Renhu Liu, Jingling Wu, Benli Yu
Summary: The article discusses macro displacement measurement with a vortex beam interferometer, resolving three factors limiting large displacement measurements. A new method for high sensitivity and large displacement measurements is proposed by using small topological charge numbers. A virtual moire pointer image immune to beam misalignment is suggested for calculating displacements, with an absolute benchmark found for cycle counting in the moire pointer image of fractional topological charge.
Article
Engineering, Electrical & Electronic
Thomas Schneider
Summary: Data rates and bandwidths in global optical communication networks and their wireless access are continuously rising, which may cause problems for the electronic ADCs in digital systems. This review discusses the possibility of reducing bandwidth using photonics-assisted parallelization and highlights its advantages and potential applications.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Alvin Dmello, Dhammika Jayalath, Ernest Foo, Jason Reid
Summary: This paper investigates the use of machine learning techniques to dynamically predict fRTO and MSS in high-frequency communication systems to improve TCP communication. The performance of HF-TCP with predicted fRTO and MSS is compared to standard TCP, showing a 72% improvement in link efficiency.
Article
Engineering, Environmental
Athanasios Dimitriadis, Loukia P. Chrysikou, Athanasios I. Kokkalis, Lambros I. Doufas, Stella Bezergianni
Summary: The potential of hydroconversion of animal fats has been investigated and validated in an industrially relevant scale. The experimental testing showed that mild hydrotreatment conditions result in low hydrogen consumption and do not significantly affect product quality. The produced fuel has advantages in compression ignition engines and can be blended with fossil diesel, meeting the relevant quality standards. Additionally, a dedicated study on the storage stability of animal fats indicates that they can be stored for several months at ambient conditions.
Article
Chemistry, Analytical
Catalin Beguni, Alin-Mihai Cailean, Sebastian-Andrei Avatamanitei, Alin-Dan Potorac, Eduard Zadobrischi, Mihai Dimian
Summary: Due to its unique advantages, the integration of VLC in vehicle safety applications has become a major research topic. This article proposes a novel approach to increase vehicular VLC systems' communication range by improving the VLC system based on the benefits that can be achieved through the VLC transmitter. The concept is based on LED current overdriving and a modified VPPM, which provide higher optical power and improved SNR for the VLC receiver.
Article
Optics
Yi Ji Tan, Wenhao Wang, Abhishek Kumar, Ranjan Singh
Summary: Valley photonic crystal (VPC) is a versatile platform in topological photonics, and this study explores the design of a composite interface junction to enable the topologically protected propagation of THz waves. The work illustrates the prospects and challenges of interfacial topological photonics in the design of broadband silicon topological waveguides.
Article
Engineering, Civil
Jiehong Wu, Chengxin Song, Jian Ma, Jinsong Wu, Guangjie Han
Summary: This paper proposes a strategy for real-time rescue assignments in 3-D underwater environments for multi-AUV systems, including reward allocation algorithm, Attraction Rescue Area design, and reward coefficient development. Simulation results demonstrate that the R-RLPSO system is more cost-effective and time-saving compared to other algorithms.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Sun Mao, Lei Liu, Ning Zhang, Mianxiong Dong, Jun Zhao, Jinsong Wu, Victor C. M. Leung
Summary: This paper proposes a reconfigurable intelligent surface (RIS)-assisted secure MEC network framework to enhance task offloading security. By jointly optimizing various parameters, the max-min computation efficiency is achieved. Numerical results demonstrate the performance gain of the proposed framework compared to existing methods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Cui-Qin Dai, Shipeng Li, Jinsong Wu, Qianbin Chen
Summary: This research proposes a distributed user association mechanism with grouping, which addresses the user access problem in satellite-terrestrial integrated networks by maximizing the sum rate and balancing the load. The mechanism utilizes a greedy algorithm to prioritize users with higher data rates, and achieves load balancing through multiple iterations between users and base stations.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Songlin Chen, Hong Wen, Jinsong Wu
Summary: This article presents the applications of edge computing supported vehicle networks in urban traffic control systems, focusing on AI-based traffic control methods. By utilizing edge computing devices to process data from roadside sensors, real-time response and efficient traffic control can be achieved. The article also discusses some unresolved research issues and future research directions.
JOURNAL OF INTERNET TECHNOLOGY
(2022)
Review
Energy & Fuels
Ruben Hidalgo-Leon, Javier Urquizo, Christian E. Silva, Jorge Silva-Leon, Jinsong Wu, Pritpal Singh, Guillermo Soriano
Summary: Intelligent buildings play a fundamental role in achieving efficient energy management and reducing carbon emissions. However, they also impose challenges in energy use. This paper provides a comprehensive review of energy harvesting technologies and explores their potential to power or support sensor nodes in buildings. The research findings demonstrate that energy harvesters can partially or fully meet the power requirements of sensor nodes.
Article
Computer Science, Information Systems
Yongpeng Shi, Jinsong Wu, Lei Liu, Dapeng Lan, Amir Taherkordi
Summary: This article explores the problem of maximizing system energy efficiency in the satellite-aerial-terrestrial network by utilizing multiple UAVs as relays and optimizing the relay selection, power allocation, and UAV deployment. An iterative algorithm is presented as the solution, which significantly improves system energy efficiency and obtains the optimal relay selection and power allocation decisions.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zhongyi Zhai, Guibing Lai, Bo Cheng, Junyan Qian, Lingzhong Zhao, Jinsong Wu, Zhinguo Wan
Summary: This paper presents a secure detection service deployed in wireless sensor networks to resist joint attacks, including pollution attacks and replay attacks. The service uses a lightweight TMAC and time synchronization technique for joint detection. Performance evaluation shows that the scheme has negligible extra-expense and low energy consumption compared to other joint detection schemes.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Qian Deng, Xiaopeng Liang, Qiang Ni, Jinsong Wu
Summary: In this paper, an inverse-transform-sampling based IMPE (ITS-IMPE) detector is proposed to enhance the convergence rate and accuracy in large-scale multiple-input and multiple-output (LS-MIMO) systems. The detector deduces the closed-form expression of the eigenvalue spectral cumulative distribution function of the channel covariance matrix and introduces improved polynomial coefficients using a fast online ITS-based eigenvalues estimation algorithm and a least-squares fitting procedure. Simulation results show that ITS-IMPE detector achieves significant performance improvement with lower complexity compared to other detectors under Rayleigh fading and low spatial correlated channels.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Feng Zeng, Kanwen Zhang, Lin Wu, Jinsong Wu
Summary: In this paper, the efficient caching mechanism for supporting data in vehicular edge computing (VEC) is studied. The acquisition ways of the supporting data and the caching collaboration between VEC servers are analyzed using the software defined network (SDN) based VEC framework. The VEC coverage is divided into dense and ordinary areas based on the density of the requesting vehicles. Edge servers are clustered into multiple groups based on K-means++ algorithm, considering the similarity of the requested data and the distance between servers. An efficient edge-cloud collaborative caching strategy is proposed, which reduces the delay of data migration during task execution.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Tianjia Liu, Jinsong Wu, Xuze Luo, Guangquan Xu
Summary: In this paper, the fusion of spatial attention mechanism and contextual features is proposed to improve the detection accuracy of detectors by simulating object recognition based on the human eye. The proposed method was tested on the PASCAL VOC2007+2012 general dataset and showed improved accuracy on various targets, especially for small and partially overlapping targets. Our proposed model improved the detector's accuracy by 3.34%.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Yang Li, Li Zhu, Jinsong Wu, Hongwei Wang, F. Richard Yu
Summary: This paper proposes a joint dynamic offloading rate control and computation resource optimization method for large-scale intelligent urban rail transits. By introducing mean-field game theory, the multi-agent competition problem is transformed into a single-agent optimization problem, and z-transforming-based control method is used to dynamically reschedule computation resources. Extensive simulation results show significant performance improvement in intelligent urban rail transits.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Theory & Methods
Lin Hu, Shuai Tan, Hong Wen, Jinsong Wu, Jiabing Fan, Songlin Chen, Jie Tang
Summary: We investigate the physical layer security in multi-user interference networks and propose an artificial noise assisted interference alignment scheme for security enhancement. We establish a tighter necessary condition for interference alignment feasibility and provide practical guidelines for system designs. Numerical results demonstrate that our design can enhance both quality and security of the secret signal, suitable for physical layer security in interference networks.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Computer Science, Information Systems
Tariq Ahmad, Jinsong Wu, Hathal Salamah Alwageed, Faheem Khan, Jawad Khan, Youngmoon Lee
Summary: In this study, a human activity recognition technique is proposed using convolution neural network (CNN) and bidirectional-gated recurrent unit (Bi-GRU) for visual data processing. Deep features are extracted using CNN from frame sequences of human activity videos, and the most important features are selected to improve performance and reduce computational complexity. Bi-GRU is designed to learn temporal motions of frame sequences, learning temporal dynamics in both forward and backward direction at each time step. Extensive experiments are conducted on realistic videos of human activity recognition datasets YouTube11, HMDB51, and UCF101. The obtained results are compared with existing methods to demonstrate the competence of the proposed technique.
Article
Computer Science, Cybernetics
Tariq Ahmad, Jinsong Wu
Summary: Smart video surveillance plays a significant role in public security by storing and evaluating a large amount of continual stream data and generating warnings for undesirable human activities. To address the challenges of human activity recognition in video surveillance, a lightweight spatial-deep features integration using multilayer GRU (SDIGRU) is introduced. Spatial and deep features are extracted from realistic human activity videos and integrated, and informative features are selected to train a multilayer GRU for learning the temporal dynamics of human activity frames sequence. The experimental results on benchmark datasets demonstrate the effectiveness and efficiency of the proposed method compared to existing state-of-the-art techniques.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Proceedings Paper
Computer Science, Information Systems
Cui-Qin Dai, Jing Xu, Jinsong Wut, Qianbin Chen
Summary: In this paper, a multi-objective intelligent handover scheme is proposed to address the handover problem caused by the changes in the connectivity of satellite-terrestrial links. The scheme focuses on optimizing throughput and load balance through optimal network selection. Simulation results show that the proposed scheme outperforms existing algorithms in terms of throughput, load balance, and handover delay.
2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
(2022)
