A5076433797- UAV Applications and Optimization
- IoT and Edge/Fog Computing
- Advanced Wireless Communication Technologies
- Energy Efficient Wireless Sensor Networks
- Video Coding and Compression Technologies
- Energy Harvesting in Wireless Networks
- Advanced Vision and Imaging
- Advanced Battery Technologies Research
- Image and Video Quality Assessment
- Adaptive Control of Nonlinear Systems
- Electric Vehicles and Infrastructure
- Mobile Ad Hoc Networks
- Advanced Image Processing Techniques
- Security in Wireless Sensor Networks
- Caching and Content Delivery
- Distributed Control Multi-Agent Systems
- Cooperative Communication and Network Coding
- Augmented Reality Applications
- Generative Adversarial Networks and Image Synthesis
- Dynamics and Control of Mechanical Systems
- Control and Dynamics of Mobile Robots
- Service-Oriented Architecture and Web Services
- Space Satellite Systems and Control
- Advanced Data Compression Techniques
- Advanced Neural Network Applications
Soochow University
2024-2025
Changsha University of Science and Technology
2015-2024
Xi'an Jiaotong University
2024
Changchun University of Science and Technology
2024
Nanning Normal University
2024
University of British Columbia
2006-2021
Henan University of Economic and Law
2021
Huawei Technologies (China)
2021
Huawei Technologies (United States)
2020
Huawei Technologies (Canada)
2020
Recently data-driven image inpainting methods have made inspiring progress, impacting fundamental editing tasks such as object removal and damaged repairing. These are more effective than classic approaches, however, due to memory limitations they can only handle low-resolution inputs, typically smaller 1K. Meanwhile, the resolution of photos captured with mobile devices increases up 8K. Naive up-sampling inpainted result merely yield a large yet blurry result. Whereas, adding high-frequency...
Providing the ubiquitous network accessibility is key goal for 5G and Beyond (B5G) networks. As number of devices data increase, ensuring Quality Service(QoS) by existing with a singular focus could be challenging. Meanwhile, it always utmost importance to perform computation-intensive or delay-sensitive tasks welland provide long-term services B5G To tackle these challenges, we present an air-ground integrated in wireless communications, where UAV deployed as aerial radio access platform...
With the rapid development of communication technology and popularization network, information security has been highly valued by all walks life. Random numbers are used in many cryptographic protocols, key management, identity authentication, image encryption, so on. True random (TRNs) have better randomness unpredictability encryption than pseudorandom (PRNs). Chaos good features sensitive dependence on initial conditions, randomness, periodicity, reproduction. These demands coincide with...
In this paper, we consider a smart power model, where some subscribers share several energy providers and there are malicious users in grid. The managed by market scheduling center (PMSC), which broadcasts electricity price to providers. update their capacities consumption requirements, respectively, according the prices received. order identify unstable providers, mechanism of identification processing (MIP) for is proposed. By integrating MIP, proposed heuristic algorithm called dynamic...
Random numbers are widely used in the fields of computer, digital signature, secure communication and information security. Especially recent years, with large-scale application smart card demand security, for high-quality random number generator is increasingly urgent. With development theory non-linear systems, design pseudorandom (PRNG) chaotic behavior systems provides a new theoretical basis implementation method. This paper presents PRNG based on no-equilibrium four-wing memristive...
With the increasing number of electric vehicles (EVs), temporary charging demands grow rapidly. Unlike at home or workplace, requires less waiting time. In this article, a mobile edge computing (MEC)-enabled and discharging networking system algorithm (CDNSA) is proposed to minimize time for EVs in stations (CSs). A software-defined network (SDN) paradigm adopted enhance data transmission efficiency MEC servers. CDNSA, optimization problem formulated as mixed-integer nonlinear programming...
With the increase of number electric vehicles (EVs), it is vital importance to develop efficient and effective charging scheduling schemes for all EVs. In this article, we aim maximize social welfare EVs, stations (CSs) power plant (PP), by taking into account changing demand each EV, price, capacity congestion balance between different CSs. To end, two algorithms, i.e., Centralized Charging Strategy (CCS) Distributed (DCS) are proposed. CCS has a slightly better performance than DCS, as...
To address the performance limitations caused by insufficient computing capacity and energy of edge internet things devices (IoTDs), we proposed a multi-unmanned aerial vehicles (UAV)-assisted mobile (MEC) application framework in this article. In framework, UAVs equipped with high-performance act as servers deployed target area to support data offloading task for IoTDs. We formulated an optimization problem jointly optimize connection scheduling, resource allocation, UAVs' flying...
Urbanization and infrastructure projects generate huge amount of construction demolition waste (CDW), posing significant challenges for the environment human health. In order to reduce safety risks caused by CDW landfills, this study was amid utilize plant roots develop a root-CDW-soil system strengthening enhancing slope stability landfills. A series experimental analyses were conducted, focusing on shear tests root-soil composites under various moisture conditions root content ratios. The...
In wireless sensor network, a connected dominating set (CDS) can be used as virtual backbone for efficient routing. Constructing minimal CDS (MCDS) is good packet routing and energy efficiency, but an NP-hard problem. this article, approximation MCDS construction algorithm E-MCDS (energy algorithm) proposed which explicitly takes consumption into account. contains two stages: the stage pruning stage. The constructed approximately composed of independent sets (IS). performance ratio analysed...
Wireless sensor networks (WSNs) have limited energy and transmission capacity, so data compression techniques extensive applications. A node with multiple sensing units is called a multimodal or multivariate node. For stream on node, some streams are elected as the base functions according to correlation coefficient matrix, other from same can be expressed in relation one of these using linear regression. By designing an incremental algorithm for computing regression coefficients, scheme...
Much work has been conducted to design effective and efficient algorithms for quality of service (QoS)-aware computing in the past several years. The wireless mobile cloud environments have brought many challenges QoS-aware providing. Mobile (MCC) radio accessing networks (C-RANs) are new paradigms arising recent This proposes a data providing framework C-RAN aiming provide by more way. efficiency is measured cost with time constraint. An abstract formal model built on proposed framework,...
One objective in MPEG-2 to H.264/advanced video coding transcoding is improve the H.264/AVC compression ratio by using more advanced macroblock encoding modes. The motion re-estimation process far most time-consuming this type of transcoding. In paper, we present an efficient block size partitioning prediction algorithm for applications. Our uses rate-distortion optimization techniques and predicted initial vectors estimate partitioning. It also shown that smaller than 8 × (i.e., 4, 4 8, 4)...