A5100439693- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Network Traffic and Congestion Control
- Caching and Content Delivery
- Age of Information Optimization
- Software-Defined Networks and 5G
- Peer-to-Peer Network Technologies
- Cooperative Communication and Network Coding
- Image and Signal Denoising Methods
- Advanced Wireless Network Optimization
- IoT Networks and Protocols
- Mobile Crowdsensing and Crowdsourcing
- Prosthetics and Rehabilitation Robotics
- Mobile Ad Hoc Networks
- Advanced Vision and Imaging
- Muscle activation and electromyography studies
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
- ICT Impact and Policies
- Network Security and Intrusion Detection
- Wireless Networks and Protocols
- Digital Platforms and Economics
- Image and Video Quality Assessment
- Auction Theory and Applications
- Advanced Image and Video Retrieval Techniques
Hainan Medical University
2025
Anhui University
2019-2024
META Health
2024
Tianjin University of Finance and Economics
2022-2024
Ministry of Industry and Information Technology
2024
Harbin Institute of Technology
2010-2024
China Agricultural University
2024
Zhuhai Institute of Advanced Technology
2023
Tsinghua University
2017-2023
National University of Defense Technology
2022-2023
The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. databases were created to organize allow horizontal expansion. databases, on other hand, support scalability can efficiently process large amounts unstructured data. Organizational needs determine which paradigm is appropriate, yet selecting best option not always easy. Differences database design are what set apart. Each type also consistently employs...
In this paper, we aim to design an autonomous tracking system for a swarm of unmanned aerial vehicles (UAVs) localize radio frequency (RF) mobile target. the system, UAVs equipped with omnidirectional received signal strength (RSS) sensors can cooperatively search target specified accuracy. To achieve fast localization and in highly dynamic channel environment (e.g., time-varying transmit power intermittent signal), formulate flight decision problem as constrained Markov process (CMDP) main...
Metal objects implanted in the bodies of patients usually generate severe streaking artifacts reconstructed images X-ray computed tomography, which degrade image quality and affect diagnosis disease. Therefore, it is essential to reduce these meet clinical demands.In this work, we propose a Gaussian diffusion sinogram inpainting metal artifact reduction algorithm based on prior for fan-beam tomography reconstruction. In algorithm, information that originated from tissue-classified used...
Mobile Edge Computing has already become a new paradigm to reduce the latency in data transmission for resource-limited mobile devices by offloading computation tasks onto edge servers. However, mobility-aware computation-intensive services, existing strategies cannot handle procedure properly because of lack collaboration among A stream application is partitionable if it can be presented directed acyclic dataflow graph, which makes cross-edge possible. In this paper, we propose (CCO)...
Received signal strength (RSS) fingerprint-based indoor localization has received increasing popularity over the past decades. However, it suffers from high calibration effort for fingerprint collection. In this paper, a Centralized indooR localizatioN method using Pseudo-label (CRNP) is proposed, which employs small set of labeled data (RSS fingerprint) along with large volumes unlabeled values without coordinates) to reduce workload collection and improve performance. rich location in...
Edge computing, a fast evolving computing paradigm, has spawned variety of new system architectures and methods discussed in both academia industry. servers are directly deployed near users' equipment or devices owned by telecommunications companies. This allows for offloading tasks various nearby to edge servers. Due the shortage resources networks, they often not as sufficient cloud center. leads problem service load imbalance once network increases suddenly. To solve "load evacuation"...
Collaboration spaces formed from edge servers can efficiently improve the quality of experience service subscribers. In this paper, we first utilize a strategy based on density Internet Things (IoT) devices and k-means algorithm to partition network servers, then an for IoT devices' computation offloading decisions is proposed, i.e., whether need offload workload which server choose if migration needed. The combination locations geographic distribution various significantly scheduling...
This study aimed to examine the relationship between maltreatment and psychological well-being among preschool children explore parent-child interaction's moderating role on this association. employed a cross-sectional design multistage stratified cluster random sampling method. Between December 2022 January 2023, 180 kindergartens in Hainan province-encompassing 4,886 newly enrolled as participants-were selected. All data were collected using an online platform, which parents or caregivers...
With the advent of P4-specific programmable data plane (PDP), network functions (NFs) can be offloaded into PDP to achieve high performance guaranteed by hardware. Meanwhile, CPU powers consumed NFs released user applications. However, as more and offloaded, several problems rooted inside severely hinder it from facilitating this offloading trend. 1) The existing provides exclusive abstraction where different cannot operate same plane. 2) is hardly able deploy in a "hitless" manner. In...
With offloading the tasks that mobile users (MUs) running in their devices (MDs) to data centers of remote public clouds, cloud computing (MCC) can greatly improve capacity and prolong battery life MDs. However, are generally far from MUs, thus long delay will be caused due transmission base station clouds over Internet. Mobile edge (MEC) is recognized as a promising technique augment computation capabilities MDs shorten delay. Nevertheless, compared with traditional MCC MEC has limited...
As one of the largest Internet Things systems in world, China’s expressway electronic toll collection (ETC) generates nearly billion pieces transaction data every day, recording traffic trajectories almost all vehicles on expressway, which has great potential application value. However, there are inevitable missed transactions and false ETC system, leads to certain missing rates data. In this work, a dynamic search step SegrDTW algorithm based an improved DTW is proposed according...
With the rapid increase in demand for mobile data, network operators are trying to expand wireless capacity by deploying local area (LAN) hotspots on which they can offload their traffic. However, these network-centric methods usually do not fulfill interests of users (MUs). Taking into consideration many issues such as different applications' deadlines, monetary cost and energy consumption, how MU decides whether traffic a complementary LAN is an important issue. Previous studies assume...
Many recently built residential houses and factories are equipped with facilities for converting energy from green sources, such as solar energy, into electricity. Electricity consumers may input the extra electricity that they do not consume smart grid sale, which is allowed by law in countries Japan. To reduce peak-time usage, time-varying pricing schemes usually adopted grids, both sold to purchased consumers. Thanks development of cyber-physical systems advanced technologies...
Wi-Fi-based indoor localization system needs to construct a radio map by site surveys. The process of surveys is time-consuming and crowdsourcing one feasible option tackle this issue. Meanwhile, privacy protection has drawn concerns from both industry academia. In paper, we propose two incentive mechanisms stimulate mobile users (MUs) contribute trajectory data for crowdsourcing-based with differential prevent MUs' leakage. first mechanism considers fixed reward MUs incomplete information,...
The travel time prediction of vehicles is an important part intelligent expressways. It can not only provide the vehicle distribution trend each section for expressway management department to assist fine expressway, but it also owners with dynamic and accurate services formulate more reasonable plans. However, there are still some problems in current research (e.g., different types processed separately, proximity road network considered, capture information spatial-temporal perspective...
Gait phase detection is an important procedure in the application of many lower limb auxiliary robots. The gait algorithms that utilize surface electromyography (sEMG) signals have been developed to overcome unnatural walking. However, traditional studies mostly consider precise walking events when subject focusing only on walking, and accuracy susceptible more realistic scenarios, such as with cognitive tasks. In this paper, considered challenging which while performing A kernel linear...
Previous studies have shown that the motion intention recognition for lower limb prosthesis mainly focused on identification of performed gait. However, bionic needs to know next movement at beginning a new gait, especially in complex operation environments. In this paper, an upcoming locomotion prediction scheme via multilevel classifier fusion was proposed operation. At first, two states, including steady state and transient state, were defined. Steady-state backtracking completed which...
Speech feature learning is very important for the design of classification algorithm Parkinson's disease (PD). Existing speech method PD just pays attention to feature. This paper proposed a novel hybrid which puts features all segments each subject together, thereby obtaining new and high efficient without transformation. Firstly, was constructed by combining segments. Secondly, selection conducted various criteria. Thirdly, selected were applied PD. Besides, evaluation criteria are...
Edge clouds have become a de-facto paradigm to deliver low and stable networks delay-critical applications such as web services AR/VR. A unique form of edge is those crowdsourced from third parties, e.g., idle PCs or workstations. Such platforms can better sink computations closer users, reduce the purchase cost, eliminates carbon generated during manufacturing. Yet, they also face challenge out-of-control hardware, server dropping in/out anytime. In this paper, we perform first-of-its-kind...