A5014610561- Wireless Networks and Protocols
- Mobile Ad Hoc Networks
- Advanced Wireless Network Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Wireless Communication Networks Research
- Land Use and Ecosystem Services
- Energy Efficient Wireless Sensor Networks
- Network Traffic and Congestion Control
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Advanced Wireless Communication Technologies
- Advanced Wireless Communication Techniques
- Software-Defined Networks and 5G
- Remote Sensing and Land Use
- Autonomous Vehicle Technology and Safety
- Energy Harvesting in Wireless Networks
- Advanced Optical Network Technologies
- Complex Network Analysis Techniques
- Traffic control and management
- Privacy-Preserving Technologies in Data
- Indoor and Outdoor Localization Technologies
- Advanced Computational Techniques and Applications
- Guidance and Control Systems
Huazhong University of Science and Technology
2003-2025
University of Essex
2004-2025
Jiangxi Agricultural University
2025
Institute of Subtropical Agriculture
2025
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2021-2025
Wuhan University
2016-2025
Chengdu University of Technology
2021-2025
Liaoning Ocean and Fisheries Research Institute
2025
Tongling University
2025
First People's Hospital of Chongqing
2025
We are on the cusp of a new era connected autonomous vehicles with unprecedented user experiences, tremendously improved road safety and air quality, highly diverse transportation environments use cases, plethora advanced applications. Realizing this grand vision requires significantly enhanced vehicle-to-everything (V2X) communication network that should be extremely intelligent capable concurrently supporting hyperfast, ultrareliable, low-latency massive information exchange. It is...
Analysis of Internet Things (IoT) sensor data is a key for achieving city smartness. In this paper multitier fog computing model with large-scale analytics service proposed smart cities applications. The consisted ad-hoc fogs and dedicated opportunistic resources, respectively. new clear functional modules able to mitigate the potential problems infrastructure slow response in cloud computing. We run benchmark experiments over formed by Rapsberry Pi computers distributed engine measure...
The ICDAR 2019 Challenge on "Scanned receipts OCR and key information extraction" (SROIE) covers important aspects related to the automated analysis of scanned receipts. SROIE tasks play a role in many document systems hold significant commercial potential. Although lot work has been published over years administrative analysis, community advanced relatively slowly, as most datasets have kept private. One contributions is offer first, standardized dataset 1000 whole receipt images...
In this paper new architectural approaches that improve the energy efficiency of a cellular radio access network (RAN) are investigated. The aim is to characterize both consumption ratio (ECR) and gain (ECG) RAN when cell size reduced for given user density service area. affirms reducing reduces ECR as desired while increasing capacity but overall remains unchanged. order trade increase in with consumption, without degrading provision, sleep mode introduced. mode, cells active users...
Object detection is a critical problem for advanced driving assistance systems (ADAS). Recently, convolutional neural networks (CNN) achieved large successes on object detection, with performance improvement over traditional approaches, which use hand-engineered features. However, due to the challenging environment (e.g., scale variation, occlusion, and bad light conditions), popular CNN detectors do not achieve very good accuracy KITTI autonomous benchmark dataset. In this paper, we propose...
With 5G mobile communication systems having been commercially rolled out, research discussions on next generation systems, that is, 6G, have started. On the other hand, vehicular technologies are also evolving rapidly, from connected vehicles called V2X (vehicle to everything) autonomous combination of two, networks (CAV). How fast evolution these two areas will go hand-in-hand is great importance, which focus this article. After a brief overview technological CAV and 6G key technologies,...
Environment sensing plays an important role for the safe autonomous navigation of intelligent ships. However, inherent limitations sensors, such as low frequency automatic identification system (AIS), blind zone marine radar, and lack depth information in visible images, make it difficult to achieve accurate with a single modality sensor data. To overcome this limitation, we propose new multi-source data fusion framework technologies that integrate AIS, This leverages complementary strengths...
This paper presents a coherent survey on ad hoc wireless networks, with the intent of serving as quick reference to current research issues in networking. It starts background origin and development stages network, then summaries characteristics, capabilities, applications design constraints network fully distinguishing it from traditional networks. The discuses broad range such Routing, Medium Access, Multicasting, Quality service, TCP performance, Energy, Security Bluetooth, outlining...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Wireless-communication technology can be used to improve road safety and provide Internet access inside vehicles. This paper proposes a cross-layer protocol called coordinated external peer communication (CEPEC) for Internet-access services communications vehicular networks. We assume that IEEE 802.16 base stations (BS) are installed along highways the same air interface is equipped in Certain...
In this paper, we propose a general transductive learning framework named generalized manifold-ranking-based image retrieval (gMRBIR) for retrieval. Comparing with an existing method MRBIR [12], our could work well whether or not the query is in database; thus, it more applicable real applications. Given image, gMRBIR first initializes pseudo seed vector based on neighborhood relationship and then spread its scores via manifold ranking to all unlabeled images database. Furthermore, gMRBIR,...