A5033268753- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Blockchain Technology Applications and Security
- Privacy-Preserving Technologies in Data
- Satellite Communication Systems
- Advanced Wireless Network Optimization
- Advanced Wireless Communication Technologies
- UAV Applications and Optimization
- Transportation and Mobility Innovations
- Wireless Communication Networks Research
- Vehicular Ad Hoc Networks (VANETs)
- Chaos-based Image/Signal Encryption
- Microwave Engineering and Waveguides
- Millimeter-Wave Propagation and Modeling
- Anomaly Detection Techniques and Applications
- Underwater Vehicles and Communication Systems
- Error Correcting Code Techniques
- Chaos control and synchronization
- Mitochondrial Function and Pathology
- Green IT and Sustainability
- Genetic Neurodegenerative Diseases
- Network Security and Intrusion Detection
Fuzhou University
2017-2025
Peking University Shenzhen Hospital
2024-2025
Fujian Business University
2019-2024
Guangzhou Automobile Group (China)
2024
Putian University
2024
Institute of Scientific and Technical Information
2018-2022
Xiamen University
2009-2017
Xiamen University of Technology
2010
Unmanned surface vehicle (USV) is currently a hot research topic in maritime communication network (MCN), where de-noising and semantic segmentation of images taken by USV have been rarely studied. The former has recently researched on autoencoder model used for image denoising, but the existed models are too complicated to be suitable real-time detection USV. In this paper, we proposed lightweight combined with inception module denoising different noisy environments explore effect modules...
Millimeter-wave (mmWave) communication is one of the most promising technologies in fifth generation (5G) mobile networks due to its capability access a large amount available spectrum resources. Despite theoretical potential high data rate, there are still several key technical challenges use mmWave networks, such as severe path loss, penetration and narrow beamwidth. Hence, accurate reliable knowledge on channel propagation characteristics essential for developing 5G wireless systems. In...
Mobile Edge Computing (MEC), which is considered a promising and emerging paradigm to provide caching capabilities in proximity mobile devices 5G networks, enables fast, popular content delivery of delay-sensitive applications at the backhaul capacity limited networks. Most existing studies focus on cache allocation, mechanism design coding for caching. However, grid power supply with fixed uninterruptedly support MEC server (MECS) costly even infeasible, especially when load changes...
X-linked adrenoleukodystrophy (X-ALD) is a common peroxisomal disorder caused by mutations in the ABCD1 gene, leading to accumulation of very long-chain fatty acids (VLCFAs). This progressive neurodegenerative disease manifests three primary forms: childhood-acquired cerebral demyelination (CALD), adult myelopathy (AMN), and adrenal cortical insufficiency. Bone marrow transplantation effectively halts progression only early stages CALD. A thorough investigation pathophysiology X-ALD has been...
Silent customers are part of that company is very easy to lose. It necessary analyze the features such and make appropriate market decisions improve enterprise's revenue in telecom industry. This paper proposes a K-means++ method for customer segmentation based on silent customers. Firstly, key variables model was screened out then original data preprocessed. Secondly, were clustered Calinski-Harabasz index adopted verify best clustering effect when <tex...
As one of the most promising solutions, edge caching is emerging to reduce content retrieval latency and relieve huge burden on backhaul links in 6th generation (6G) millimeter wave (mmWave) intelligent vehicular networks. In this paper, we first formulate optimization problem terms request hit probability investigate two crucial factors, which impact effectiveness cache placement device-to-device (D2D) enabled mmWave Then, general mathematical expressions for with constraints capacity are...
Vehicular fog computing (VFC) that supports inter-vehicular task offloading emerges as a promising complement to handle the explosive growth of computation-intensive tasks in Intelligent Transportation Systems (ITS). Nonetheless, access points (F-APs) crowed areas are often overloaded, conventional single F-AP VFC may become incompetent and energy-inefficient. To tackle issue, novel scheme non-orthogonal multiple (NOMA)-enabled multi-F-AP with partial is proposed this work. However,...
With the advancement of Internet Vehicles (IoV), delay-sensitive vehicular applications have flourished. Among them, autonomous driving technology is a focal point. For vehicles, efficiently and timely processing ever-increasing data critical. In real traffic scenes, task-processing efficiency closely related to flows. However, flow modeling always ignored or considered roughly in most existing studies. this issue, model based on stochastic geometry framework proposed simulate environment...
The rapid growth of intelligent connected vehicles fosters the development Internet-of-Vehicle (IoV) applications. Due to complex traffic environments, integrated sensing, communication and computation (ISCC) technology would be seen as an efficient paradigm support a plethora IoV applications, which causes such surge computation-intensive tasks that task with single server node cannot keep energy-efficient under strict delay constraints. Inspired by idea distributed computing, scheme edge...
The spectrum scarcity is a serious problem for future development of wireless communication. current researches on cognitive radio (CR) technologies and secondary usage the have received lot attention. However, in CR networks, users (SUs) should spend large number times sensing. In this paper, we propose exponential moving average (EMA) based energy prediction method to enhance detection our algorithm, can predict level frequency bands. Based these predicted information, SUs skip sensing...
In recent years, various maritime applications such as unmanned surface vehicles, marine environment monitoring, target tracking, and emergency response have developed rapidly in communication networks (MCNs), these are often accompanied by complex computation tasks low latency requirements. However, due to the limited resources of vessels, it is critical design an efficient mobile edge computing (MEC) enabled network for computation. Inspired this motivation, energy harvesting space-air-sea...
Spinocerebellar ataxias (SCAs) are inherited neurodegenerative diseases characterized by loss of balance, coordination, and slurred speech. Recently, a digenic mode inheritance TBP/STUB1 contributing to SCA was demonstrated. The clinical manifestations
The sharp development of maritime activities fosters Internet-of-Things (M-IoT) applications. However, the computation resources vessels are limited, which cannot adequately satisfy high-quality services in M-IoT. With this consideration, space-air-ground-sea integrated networks (SAGSINs) introduced work. Besides, a distributed offloading framework is designed. Furthermore, an energy consumption minimization problem formulated to jointly optimize strategy and bandwidth allocation. For...
Abstract A large number of new data‐consuming applications are emerging, and many them involve mobile users. In the next generation wireless communication systems, device‐to‐device (D2D) is introduced as a paradigm to offload increasing traffic user equipment. Before transmission, D2D discovery access procedure first important step which needs be completed. this paper, our goal design device scheme for fifth cellular networks. We present two types procedures. Then we provide performance...
Different storage capacities and various file sizes are two crucial factors which impact the effectiveness of cache placement in device-to-device networks. However, most existing literature assumes all users have homogeneous capability involved identical. In this paper, files placed into groups according to their different among user devices. Considering these vital factors, group caching scheme (GCS) algorithm for optimal strategy is investigated by formulating an optimization problem...