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Article
Subpixel keypoint localization and angle prediction for lithography marks based on deep learning
The alignment precision in lithography determines the pattern transfer quality, whereas the initial angular deviation between the wafer and mask leads to the empty-window problem. Therefore, identifying the an...
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Chapter and Conference Paper
MVD-NeRF: Resolving Shape-Radiance Ambiguity via Mitigating View Dependency
We propose MVD-NeRF, a method to recover high-fidelity mesh from neural radiance fields(NeRFs). The phenomenon of shape radiance ambiguity, where the radiance of a point changes significantly when viewed from ...
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Chapter and Conference Paper
Multi-targets Vital Signs Detection Using CW Radar
This paper proposes a system to detect the vital signs of multiple targets. The radar system transmits a synthetic beam and this synthetic beam will scan the space. During the scanning process, the radar syste...
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Chapter and Conference Paper
SRes-NeRF: Improved Neural Radiance Fields for Realism and Accuracy of Specular Reflections
The Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a scene using a multilayer perceptron (MLP) combined with classic volume rendering and uses positional encoding technique...
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Chapter and Conference Paper
WiBFall: A Device-Free Fall Detection Model for Bathroom
Falling detection, especially for elderly people in confined areas such as bathrooms is vital for timely rescue. The mainstream vision-based fall detection approaches however are not applicable here for strong...
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Chapter and Conference Paper
FSE-MV: Compressed Domain Video Information Assisted Hybrid Real-Time Vehicle Speed Estimation
Vehicular speed estimation is a vital component in intelligent transportation systems. With the recent development of smart cameras and computer vision technologies, video-based vehicle speed estimations have ...
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Chapter and Conference Paper
Deep Reinforcement Learning-Based Resource Allocation for 5G Machine-Type Communication in Active Distribution Networks
With the development of smart grids and active distribution networks (ADNs), reliable and low-latency communication is the key to advanced applications such as energy management and situation awareness (SA). H...
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Article
APFNet: Amplitude-Phase Fusion Network for CSI-Based Action Recognition
Traditional Wi-Fi based action recognition models often utilize only amplitude information from CSI, with phase information simply discarded due to phase error problems. Such a design decision inevitably limit...
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Chapter and Conference Paper
A Deep Learning Method for Intrusion Detection by Spatial and Temporal Feature Extraction
Intrusion detection of network traffic is essential in the field of network security. The types of network traffic are diverse. Their attributes are highly correlated at the same time and are continuous in tim...
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Reference Work Entry In depth
Live Video Streaming in Wireless P2P Networks
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Chapter and Conference Paper
Human Activity Recognition Using MSHNet Based on Wi-Fi CSI
In recent years, with the prominent population aging problem, health conditions of aged solitaries are inherently gaining more and more attentions. Among the techniques allowing real-time health monitoring, ac...
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Living Reference Work Entry In depth
Live Video Streaming in Wireless P2P Networks
With advances in networking, storage, and processing capabilities, mobile devices can now share live video streams with each other in Edge networks. In such a mobile peer-to-peer (P2P) streaming network, mobil...
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Chapter and Conference Paper
Vehicle Type Recognition Based on Deep Convolution Neural Network
The systems based on image processing for vehicle type recognition is becoming more and fiercer. It plays an important role in traffic safety. In order to improve the problems that traditional Convolutional Ne...
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Chapter and Conference Paper
A Hierarchical Shared Key Algorithm in Wireless Sensor Networks
Wireless sensor networks (WSNs) are often deployed in hostile environments, thus being subjected to great security risks. However, due to the influence of environment and dynamic topology, the communication ra...
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Chapter and Conference Paper
Evaluation Model of the Cloud Systems Based on Queuing Petri Net
Cloud system is difficult to be modeled and evaluated due to its large scale, complex structures, outstanding dynamics, and strong correlations among layers. Aiming to solve this problem, an evaluation model o...
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Chapter and Conference Paper
Competitive Two-Level Adaptive Scheduling Using Resource Augmentation
As multi-core processors proliferate, it has become more important than ever to ensure efficient execution of parallel jobs on multiprocessor systems. In this paper, we study the problem of scheduling parallel...
