161 Result(s)
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Chapter and Conference Paper
3D Human Target Tracking and Localization Based on Millimeter Wave Radar and Visual Fusion
In recent years, 3D object detection has become an important component in the fields of autonomous driving and mobile robots. Current vision-based methods may fail to achieving reliable positioning of a 3D obj...
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Chapter and Conference Paper
Path-Oriented Green Wave Speed Control Model Towards Autonomous Vehicle
The stop-and-start at intersections has become a prominent issue, not only damaging transportation operational efficiency but also leading to energy consumption and pollution
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Chapter and Conference Paper
Design and Development of Digital Circuit Simulation Software Based on Virtual Reality Technology
In order to improve teachers’ teaching efficiency, stimulate students’ interest in learning, increase students’ initiative and consciousness of learning, break through the limitation of physical environment co...
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Chapter and Conference Paper
DFaP: Data Filtering and Purification Against Backdoor Attacks
The rapid development of deep learning has led to a dramatic increase in user demand for training data. As a result, users are often compelled to acquire data from unsecured external sources through automated ...
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Chapter and Conference Paper
Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding
Motor imagery (MI) serves as a vital approach to constructing brain-computer interfaces (BCIs) based on electroencephalogram (EEG) signals. However, the time-variant and label-coupling characteristics of EEG s...
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Chapter and Conference Paper
An Erase Code Based Collaborative Storage Method in RFID Systems
Ensuring the safe and reliable storage of important data under limited storage resources is an important challenge faced by RFID systems. Cooperative storage technology based on network coding can divide the t...
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Chapter and Conference Paper
End-to-End Streaming Customizable Keyword Spotting Based on Text-Adaptive Neural Search
Streaming keyword spotting (KWS) is an important technique for voice assistant wake-up. While KWS with a preset fixed keyword has been well studied, test-time customizable keyword spotting in streaming mode re...
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Chapter and Conference Paper
Efficient Point-Based Single Scale 3D Object Detection from Traffic Scenes
In the field of 3D object detection, the point-based method faces significant limitations due to the need to process large-scale collections of irregular point clouds, resulting in reduced inference speed. To ...
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Chapter and Conference Paper
3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video
Real-time video over the Internet suffers from packet loss and low network bandwidth. The receiving side may receive down-sampled video with damaged frames. In this work, we are motivated to enhance the qualit...
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Chapter and Conference Paper
Preliminary Experiment for Measuring the Anxiety Level Using Heart Rate Variability
Anxiety is one of the most significant health issues. Generally, there are four levels of anxiety: mild anxiety, moderate anxiety, severe anxiety, and panic level anxiety
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Chapter and Conference Paper
Artificial Intelligence Focuses on “Intelligence” Superiority in the War
The development and application of AI have promoted the transformation of warfare into an intelligent form. This article explores that AI is essentially a kind of manifestation of “intelligence” and analyzes t...
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Chapter and Conference Paper
Civil Engineering Structure Intelligent Sensing Sensor and Health Monitoring System
In the innovation and development of intelligent materials, civil engineering structure health monitoring system belongs to the system with modern information engineering software as the core development platf...
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Chapter and Conference Paper
Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks
This paper proposes a complex financial ecosystem construction model based on heterogeneous graphical attention networks, which is based on the textual features as well as attribute features of each financial ...
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Chapter and Conference Paper
A Noise Convolution Network for Tampering Detection
The vulnerability of digital images to tampering is an ongoing information security issue in the multimedia field. Thus, identifying tampered digital images and locating the tampered regions in the images can ...
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Chapter and Conference Paper
Steering Control Method of Mobile Forklift Based on Sensing Signal
Because the steering control method of the mobile forklift has the problem of large steering deviation, a steering control method of the mobile forklift based on sensing signal is designed. Using the yaw rate ...
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Chapter and Conference Paper
Machine Learning in Process Monitoring and Control for Wire-Arc Additive Manufacturing
Wire-arc additive manufacturing (WAAM) is an arc-based directed energy deposition approach that uses an electrical arc as a source of fusion to melt the wire feedstock and deposit layer by layer. It’s applicab...
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Chapter and Conference Paper
An Efficient Software Test Method for the Autonomous Mobile Robot Control Program
ROS (Robot Operating System) is widely used as an open-source robotics system for various robot development. In particular, the ROS runtime is composed of several loosely coupled processes, and this loosely co...
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Chapter and Conference Paper
Study of the Intensity of Feedback of Vibration Information from Different Parts of the Human Body
The physiological feedback data and subjective evaluation results of the subjects’ human bodies at different positions and different vibration intensities were obtained by designing human vibrotactile experime...
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Chapter and Conference Paper
Deep Learning System for Automatic Diagnosis of Ocular Diseases in Infants
Ocular disorders are common in infants. Eyesight vision damage may become permanent if an early diagnosis is not given. Therefore, early detection of ocular abnormalities can effectively improve vision health ...
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Chapter and Conference Paper
Adaptive RBF-Neural-Network Control with Force Observer for Teleoperation Robotic System
In this paper, an adaptive radial basis function neural network (RBFNN) control strategy is proposed for bilateral teleoperation robotic system with uncertainty and time delay. Meantime, the force observer met...
