Explanipedia

HAP-UAV-assisted hierarchical aerial computing framework for video offloading: a deep reinforcement learning approach Open

Yifei Bao, Jinghui Zhang, Cheng Yi, Dengyin Zhang, Rongguo Fu · 2025

Unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs) can work together to provide real-time video analytics for ground camera equipments (CEs) in disaster rescue. Resource-constrained UAV can offload video analytics tasks to …

SR-YOLO: Spatial-to-Depth Enhanced Multi-Scale Attention Network for Small Target Detection in UAV Aerial Imagery Open

Shasha Zhao, He Chen, Wang Zhang, Yu Tao, Xiangnan Feng , et al. · 2025

The detection of aerial imagery captured by Unmanned Aerial Vehicles (UAVs) is widely employed across various domains, including engineering construction, traffic regulation, and precision agriculture. However, aerial images are typically …

Network Security Anomaly Node Detection Based on Graph Neural Network and Attention Mechanism Open

Dengyin Zhang, Juan Wang, Hanjun Gao, Zhouwei Ni, Hao Zhang · 2024

Protecting networks from malicious access is a highly challenging task. Identifying and detecting anomalous paths can effectively filter out potential network threats. Despite extensive research in this field, the advent of new network tec…

Pose Estimation Based on Bidirectional Visual–Inertial Odometry with 3D LiDAR (BV-LIO) Open

Gang Peng, Qiang Gao, Xu Yue, Jianfeng Li, Dengyin Zhang , et al. · 2024

Due to the limitation of a single sensor such as only camera or only LiDAR, the Visual SLAM detects few effective features in the case of poor lighting or no texture. The LiDAR SLAM will also degrade in an unstructured environment and open…

Security-Aware Task Offloading Using Deep Reinforcement Learning in Mobile Edge Computing Systems Open

Haodong Lu, Xiaoming He, Dengyin Zhang · 2024

With the proliferation of intelligent applications, mobile devices are increasingly handling computation-intensive tasks but often struggle with limited computing power and energy resources. Mobile Edge Computing (MEC) offers a solution by…

Hybrid Hierarchical Particle Swarm Optimization with Evolutionary Artificial Bee Colony Algorithm for Task Scheduling in Cloud Computing Open

Shasha Zhao, Huanwen Yan, Qifeng Lin, Xiangnan Feng, He Chen , et al. · 2024

Task scheduling plays a key role in effectively managing and allocating computing resources to meet various computing tasks in a cloud computing environment. Short execution time and low load imbalance may be the challenges for some algori…

Hound: A Parallel Image Distribution System for Cluster Based on Docker Open

Zijie Liu, Junjiang Li, Can Chen, Dengyin Zhang · 2023

Current applications, consisting of multiple replicas, are packaged into lightweight containers with their execution dependencies. Considering the dominant impact of distribution efficiency of gigantic images on container startup (e.g., di…

Local Adaptive Image Filtering Based on Recursive Dilation Segmentation Open

Jialiang Zhang, Chuheng Chen, Kai Chen, Mingye Ju, Dengyin Zhang · 2023

This paper introduces a simple but effective image filtering method, namely, local adaptive image filtering (LAIF), based on an image segmentation method, i.e., recursive dilation segmentation (RDS). The algorithm is motivated by the obser…

Exploiting NOMA and RIS in Integrated Sensing and Communication Open

Jiakuo Zuo, Yuanwei Liu, Chenming Zhu, Yixuan Zou, Dengyin Zhang , et al. · 2022

A novel integrated sensing and communication (ISAC) system is proposed, where a dual-functional base station is utilized to transmit the superimposed non-orthogonal multiple access (NOMA) communication signal for serving communication user…

A multi-resource scheduling scheme of Kubernetes for IIoT Open

Lin Zhu, Junjiang Li, Zijie Liu, Dengyin Zhang · 2022

With the rapid development of data applications in the scene of Industrial Internet of Things (IIoT), how to schedule resources in IIoT environment has become an urgent problem to be solved.Due to benefit of its strong scalability and comp…

High-Resolution Representations Network for Single Image Dehazing Open

Wensheng Han, Hong Zhu, Chenghui Qi, Jingsi Li, Dengyin Zhang · 2022

Deep learning-based image dehazing methods have made great progress, but there are still many problems such as inaccurate model parameter estimation and preserving spatial information in the U-Net-based architecture. To address these probl…

Multitarget Detection in Depth-Perception Traffic Scenarios Open

Peng Qiao, Dengyin Zhang · 2022

Multitarget detection in complex traffic scenarios usually has many problems: missed detection of targets, difficult detection of small targets, etc. In order to solve these problems, this paper proposes a two-step detection model of depth…

A Review of Remote Sensing Image Dehazing Open

Juping Liu, Shiju Wang, Xin Wang, Mingye Ju, Dengyin Zhang · 2021

Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data …

Light-YOLOv3: License Plate Detection in Multi-Vehicle Scenario Open

Yuchao Sun, Peng Qiao, Dengyin Zhang · 2021

With the development of the Internet of Vehicles, License plate detection technology is widely used, e.g., smart city and edge senor monitor. However, traditional license plate detection methods are based on the license plate edge detectio…

Video super‐resolution with non‐local alignment network Open

Chao Zhou, Can Chen, Fei Ding, Dengyin Zhang · 2021

Video super‐resolution (VSR) aims at recovering high‐resolution frames from their low‐resolution counterparts. Over the past few years, deep neural networks have dominated the video super‐resolution task because of its strong non‐linear re…

A Network Selection Algorithm Based on Vehicle Trajectory Prediction and AHP Open

Qi Ding, Dengyin Zhang, Zhen Zhang · 2020

This paper proposes a network selection algorithm based on Vehicle Trajectory Prediction and AHP (VMAP). The Markov chain is used to predict the running trajectory of the vehicle. The predicted trajectory is used to calculate the dwell tim…

Form location and extraction based on deep learning Open

Zhen Zhang, Dengyin Zhang, Tianyu Jin, Min Zhang · 2020

To obtain users’ information on form images with different types and resolutions, a form location and extraction method based on deep learning is proposed in this paper. We adopt two classification models to better the detection accuracy: …

FAOD-Net: A Fast AOD-Net for Dehazing Single Image Open

Wen Qian, Chao Zhou, Dengyin Zhang · 2020

In this paper, we present an extremely computation-efficient model called FAOD-Net for dehazing single image. FAOD-Net is based on a streamlined architecture that uses depthwise separable convolutions to build lightweight deep neural netwo…

Fast Compass Alignment for Strapdown Inertial Navigation System Open

Jin Sun, Dengyin Zhang, Xiaoye Shi, Fei Ding · 2020

Initial alignment is the precondition for strapdown inertial navigation system (SINS) to navigate. Its two important indexes are accuracy and rapidity, the accuracy of the initial alignment is directly related to the working accuracy of SI…

JsrNet: A Joint Sampling–Reconstruction Framework for Distributed Compressive Video Sensing Open

Can Chen, Yutong Wu, Chao Zhou, Dengyin Zhang · 2019

Huge video data has posed great challenges on computing power and storage space, triggering the emergence of distributed compressive video sensing (DCVS). Hardware-friendly characteristics of this technique have consolidated its position a…

Deep Reinforcement Learning for Smart Home Energy Management Open

Liang Yu, Weiwei Xie, Di Xie, Yulong Zou, Dengyin Zhang , et al. · 2019

In this paper, we investigate an energy cost minimization problem for a smart\nhome in the absence of a building thermal dynamics model with the consideration\nof a comfortable temperature range. Due to the existence of model uncertainty,\…

Multi-Hypothesis Prediction Scheme Based on the Joint Sparsity Model Open

Can Chen, Chao Zhou, Jian Liu, Dengyin Zhang · 2019

Distributed compressive video sensing (DCVS) has received considerable attention due to its potential in source-limited communication, e.g., wireless video sensor networks (WVSNs). Multi-hypothesis (MH) prediction, which treats the target …

Security-aware dual-hop communication for amplify-and-forward relay networks Open

Fei Ding, Xiaojun Sun, Xiaojin Ding, Ruoyu Su, Dengyin Zhang , et al. · 2019

The authentication scheme for vehicular ad hoc networks aims to improve the security and integrity of message delivery. The base station manages a large number of vehicular nodes, so the security communications are non-trivial. In this art…

Consumption behavior evaluation of college students based on PSO-DTSVM Open

Hui Chen, Xinze Wang, Yan Zhou, Shasha Zhao, Dengyin Zhang · 2019

Blind and reckless consumption of the college students has become a common phenomenon. To give a correctly guiding, a decision tree support vector machine (DTSVM) based on particle swarm optimization (PSO) used to evaluate college students…

A Terminal-Oriented Distributed Traffic Flow Splitting Strategy for Multi-Service of V2X Networks Open

Fei Ding, Zitong Ma, Zhiliang Li, Ruoyu Su, Dengyin Zhang , et al. · 2019

With the development and the characteristics of terminal services of the 5G (5th-Generation network) Internet of Vehicles (IoVs), this paper proposes a distributed splitting strategy for multi-type services of 5G V2X (Vehicle to X) network…

Short-term Traffic Flow Prediction based on Data-Driven Knearest neighbour Nonparametric Regression Open

Ken Chen, Shasha Zhao, Dengyin Zhang · 2019

In order to solve the problem that the KNN algorithm is not accurate enough in the short-term traffic forecasting process and the prediction efficiency is not high caused by the search for past observations, a short-term traffic flow predi…

A New Video Tracking Algorithm Based on Multi-Complementary Features Fusion Open

Junchang Zhang, Dengyin Zhang, Jinjin Wan · 2019

In order to make full use of the diversity of sample information in the tracking process and improve the generalization ability of the tracker, this paper integrates the object model prediction results on the basis of the Staple algorithm,…

A Hierarchical Failure Detector Based on Architecture in VANETs Open

Jiaxi Liu, Fei Ding, Dengyin Zhang · 2019

The failure detector is one of the fundamental components for maintaining high availability of Vehicular Ad-hoc Networks (VANETs). However, the dynamic nature of VANETs caused by the high mobility of vehicles and communication link failure…

MH-Net: A Learnable Multi-Hypothesis Network for Compressed Video Sensing Open

Chao Zhou, Can Chen, Yao Zhang, Fei Ding, Dengyin Zhang · 2019

This paper establishes a novel recovery network called MH-Net-a framework for compressed video sensing (CVS) based on recently emerging deep neural networks (DNNs) techniques. MH-Net exploits temporal correlation between frames in the form…

Distributed Compressive Video Sensing with Mixed Multihypothesis Prediction Open

Chao Zhou, Can Chen, Fei Ding, Dengyin Zhang · 2018

Traditional video acquisition systems require complex data compression at the encoder, which makes them unacceptable for resource-limited applications such as wireless multimedia sensor networks (WMSNs). To address this problem, distribute…

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