A5100386385- Cloud Computing and Resource Management
- Cooperative Communication and Network Coding
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Advanced Wireless Communication Technologies
- Advanced MIMO Systems Optimization
- Network Security and Intrusion Detection
- Advanced Manufacturing and Logistics Optimization
- Advanced Wireless Communication Techniques
- Industrial Vision Systems and Defect Detection
- Full-Duplex Wireless Communications
- Wireless Communication Networks Research
- Scheduling and Optimization Algorithms
- Parallel Computing and Optimization Techniques
- Caching and Content Delivery
- Security in Wireless Sensor Networks
- Energy Harvesting in Wireless Networks
- Anomaly Detection Techniques and Applications
- Advanced Malware Detection Techniques
- Age of Information Optimization
- Advanced Computing and Algorithms
- Advanced Wireless Network Optimization
- Traffic Prediction and Management Techniques
- Manufacturing Process and Optimization
China-Japan Friendship Hospital
2025
Linyi University
2012-2024
Hainan Tropical Ocean University
2012-2024
Anhui Sanlian University
2024
Central South University of Forestry and Technology
2024
Central South University
2024
Little Swan (China)
2021-2024
Huazhong University of Science and Technology
2014-2024
East China University of Science and Technology
2024
Wuxi Institute of Technology
2023
With the development of medical sensors and IoT, personalized service assisted elder patient living is a critical in IoT-based healthcare application. However, scale complexity increasing because ubiquitous deployment various kinds sensors, which cause response time increase resource waste. Therefore, leveraging advantage complex event processing (CEP) data stream processing, we propose hierarchical fog-cloud computing CEP architecture for to accelerate reduce Firstly, introduce proposed...
In industrial manufacturing, bearings are crucial for machinery stability and safety. Undetected wear or cracks can lead to severe operational financial setbacks. Thus, accurately identifying bearing defects is essential maintaining production safety equipment reliability. This research introduces an improved defect detection model, YOLOv8-LMG, which based on the YOLOv8n framework incorporates four innovative technologies: VanillaNet backbone network, Lion optimizer, CFP-EVC module,...
An augmented coprime array systematically employs two sparse subarrays to produce a large-scale difference co-array with attractive merits, such as enhanced degrees of freedom (DOFs) and enlarged aperture, whereas the interleaved are susceptible mutual coupling. In this paper, we propose an unfolded (UACA) obtained by careful crafting small fill holes in generated unfolding operation. Specifically, UACA can significantly reduce number sensor pairs spacing hence inherently weaken coupling...
Local failures (loss of concrete or reinforcement) can severely compromise the bearing capacity shield segments, damaging tunnel structures. To investigate effects local openings on behavior and failure mechanism, four full-scale bending tests were conducted specimens with different opening positions diameters; monitoring load, displacement, strain was performed during loading. The test results reveal that both position diameter significantly influence characteristics segment. process...
Network traffic anomaly detection mainly detects and analyzes abnormal by extracting the statistical features of network traffic. It is necessary to fully understand concept symmetry in mitigation. However, original information on easily lost, adjustment dynamic configuration becomes gradually complicated. To solve this problem, we designed realized a new online system based software defined networks. The uses convolutional neural directly extract flow for analysis, which can realize real-...
Detecting bearing defects accurately and efficiently is critical for industrial safety efficiency. This paper introduces Bearing-DETR, a deep learning model optimised using the Real-Time Detection Transformer (RT-DETR) architecture. Enhanced with Dysample Dynamic Upsampling, Efficient Model Optimization (EMO) Meta-Mobile Blocks (MMB), Deformable Large Kernel Attention (D-LKA), Bearing-DETR offers significant improvements in defect detection while maintaining lightweight framework suitable...
An efficient receiving status feedback in multicast communications can improve the system performance considerably. In this paper, we propose a novel compressed hybrid automatic repeat request (HARQ) mechanism for reliable services cellular network controlled Device-to-Device (D2D) communications. Closely located D2D cluster devices transmit acknowledgement and negative (ACK/NACK) message to head through links directly, after that feeds back whole using 2-bit ACK/NACK network. Performance...
Nearly 50% of patients undergoing maintenance hemodialysis are aged ≥ 60 years, highlighting a growing population with unique health challenges. This study aimed to evaluate the reliability and validity functional impairment screening tool for older adults hemodialysis. Convenience sampling was used investigate 283 (160 men 123 women) across four centers. The Functional Impairment Screening Tool were evaluated using psychometric indices: Cronbach's α assess internal consistency, split-half...
The problem of path-finding has to be solved in transportation, city planning, commercial computer games, navigation and many other fields. How find the shortest path is key point this problem. For games fields, since maps are usually not very big, traditional algorithms such as Dijkstra algorithm AStar work well. But if we want two points a big or even country, memory CPU resources limited these may result bad performance. To solve maps, paper introduces analyzes use Hierarchical A-Star...
Fog computing provides computation and services to the edge of networks support real-time applications. The latency performance is a crucial metric in fog computing. In this article, we consider offloading problem network with unknown dynamics. network, mobile users can offload their computational tasks neighborhood nodes (FNs) each time slot. queue arrival at FN follows Markov model statistics. order provide satisfactory quality experience, needs be minimized. construct an policy...
Satellite remote sensing has become an important means of forest fire monitoring because it the advantages wide coverage, few ground constraints and high dynamics. When utilizing satellites for hotspot monitoring, two types hotspots, agricultural other hotspots can be ruled out through object features. False within forested areas must excluded a more accurate distinction between fires non-forest fires. This study utilizes spatio-temporal data along with time-series classification to excavate...
This paper presents a real-time predictive approach to improve solder paste stencil printing cycle decision making process in surface mount assembly lines. Stencil cleaning is critical that influences the quality and efficiency of circuit board. operation depends on various variables, such as speed, pressure, aperture shape. The objective this research help efficiently decide by applying data-driven methods. To predict printed board level, recurrent neural network (RNN) applied obtain...
Under the auspices of Organic Analysis Working Group (OAWG) Comité Consultatif pour la Quantité de Matière (CCQM) a key comparison, CCQM K55.c, was coordinated by Bureau International des Poids et Mesures (BIPM) in 2012. Twenty National Measurement Institutes or Designated and BIPM participated. Participants were required to assign mass fraction valine present as main component comparison sample for CCQM-K55.c. The samples prepared from analytical grade L-valine purchased commercial supplier...
This article aims to propose a predictive abnormality detection model in the stencil printing process (SPP). The SPP is main contributor surface mounting technology (SMT) soldering defects. prediction of abnormal conditions necessary enhance first-pass yield and reduce reworking costs printed circuit board (PCB) assembly line. In this research, novel multiphase intelligent prognosis (IAP) framework proposed. comprises two phases: phase phase. first develop random forest-based exponential...