- Wireless Networks and Protocols
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Semiconductor materials and devices
- Remote-Sensing Image Classification
- Risk and Safety Analysis
- Scientific and Engineering Research Topics
- Infrastructure Maintenance and Monitoring
- Stochastic Gradient Optimization Techniques
- Air Quality Monitoring and Forecasting
- Image and Object Detection Techniques
- Low-power high-performance VLSI design
- Wireless Body Area Networks
- Mobile Ad Hoc Networks
- Advanced MIMO Systems Optimization
- Software-Defined Networks and 5G
- Network Time Synchronization Technologies
- Marine and Coastal Research
- Urticaria and Related Conditions
- Ultra-Wideband Communications Technology
- Technology and Data Analysis
- Granular flow and fluidized beds
- Language, Metaphor, and Cognition
- Pharmacological Effects of Natural Compounds
- Privacy-Preserving Technologies in Data
Shanghai Jiao Tong University
2007-2025
Shandong Jianzhu University
2025
Chongqing Technology and Business University
2023-2024
Lanzhou Jiaotong University
2024
Naval University of Engineering
2021
In the fantastical Discworld created by Terry Pratchett, conceptual metaphors played a vital role on mirroring human nature and it mainly includes three categories: structural metaphor, orientational metaphor ontological metaphor. The Sea Little Fishes have primary characters: Granny Weatherwax, Nanny Ogg, Letice.Through detailed analysis of characters' actions, dialogues, psychological activities, essay reveals how Pratchett utilizes to map complexities through this story in each category....
Existing methods for detecting road damage mainly depend on manual inspections or sensor-equipped vehicles, which are inefficient, have limited coverage, and susceptible to errors delays. These traditional also struggle with minor damage, such as small cracks initial potholes, making real-time monitoring challenging. To address these issues improve the performance detection using Street View Image Data (SVRDD), this study propose DAPONet, a new deep learning model. DAPONet proposes three...
Existing terrestrial synchronization protocols including RBS, FTSP, TPSN, LTS and TSHL have already achieved high precision in radio networks, but none of them perform well latency networks like acoustic sensor networks. In this paper, we present tri-message: a lightweight time protocol for resource-constrained As its name suggests, only three message exchanges are required one process. Meanwhile, tri-message utilizes very simple mathematical operations to calculate the clock skew offset....
By using cognitive radio technology, opportunistic spectrum access has the potential to solve underused problem. In this paper, by first introducing a specific scheme, we analyze secondary user's capacity and collision probability. Employing build two call admission control models for three classes of service, namely, handoff voice calls, new calls data calls. We show that they achieve improved blocking probability throughput exploiting scheme. Further, tradeoff between blocking/throughput...
The multi-source and single-sink (MSSS) topology, in wireless sensor networks, is defined as the network where all of nodes can gather, receive transmit data to sink. We consider problem finding joint optimal scheme with consideration physical, medium access control (MAC), layers maximize lifetime (NL) for MSSS topology energy-constrained networks (WSNs). optimization problem, when link an interference-free time division multiple (TDMA) scheme, be formulated a mixed integer-convex...
As a distributed learning, Federated Learning (FL) faces two challenges: the unbalanced distribution of training data among participants, and model attack by Byzantine nodes. In this paper, we consider long-tailed with presence nodes in FL scenario. A novel two-layer aggregation method is proposed for rejection malicious models advisable selection valuable containing tail class information. We introduce concept think tank to leverage wisdom all participants. Preliminary experiments validate...
Garbage classification not only helps to avoid resource wastage and environmental pollution but also reduces the cost of waste management, which is significant importance for protection. In order promote development garbage classification, a high-precision detection model that can be deployed on embedded devices highly necessary. However, there are several problems with models currently devices, such as large algorithm parameters, sizes, high computational complexity. To address these...
Ultra-wide band (UWB) is a radio technology that uses very large bandwidth. A two-dimensional exclusion mechanism and routing strategy are mentioned in. We extend the region to three-dimension modify interference from other nodes as Gaussian noise. The conclusion also correct under mobility. present new model combining mitigation. Then we propose an optimal algorithm described MTI. raise geometrical method unlike simulation in demonstrate MER minimize total routing.
According to the characteristics of complex feature information garbage classification application, a method based on multi-source fusion Bayesian network is proposed.In this method, training sample data preprocessed by La Pullaras smoothing solve problem zero prior probability in traditional and eliminate influence value results.Then, according decision image sensor, combined with heterogeneous characteristic other sensors different types, model established using improved parameter...