289 Result(s)
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Chapter and Conference Paper
Dynamic Behaviors of a Bolted Joint Rotor System Considering the Contact State at Mating Interface
The bolted joint is widely used in the aero-engine rotor system, which introduced a larger number of contact interfaces. These bolted joints are subjected to complex vibrations during operation and cause chang...
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Chapter and Conference Paper
State-Space Modeling of Nonlinear Electrostatic Transducers and Experimental Characterization Using LDV
Electrostatic speakers and ultrasound transmitters, including capacitive micromachined ultrasound transducers (CMUTs), may be thought of as systems with applied voltage as the input variable and diaphragm disp...
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Chapter and Conference Paper
Magnetoelastic Vibration Sensors
In this work, we explore the application of magnetoelasticity towards the realization of vibration transducers. Such sensors have unique and complementary properties when compared against more conventional tra...
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Chapter and Conference Paper
Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Cooperative Data Collection
In the context of UAV trajectory planning for data collection, challenges such as the uncertainty of a large-scale dynamic unknown environment and the need for multi-UAV coordination are prevalent. To address ...
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Chapter and Conference Paper
Study on the Resilience Model of Power Distribution Networks Under Typhoon Disasters
The impact of typhoon disasters on power distribution networks (PDNs) has received increasing attention. It is significant to study the resilience model and select the typical fault scenarios with high occurri...
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Chapter and Conference Paper
A Sampling Method for Performance Predictor Based on Contrastive Learning
Performance predictors are commonly dedicated to mitigating the substantial resource consumption of neural architecture search. Nevertheless, existing performance predictors are typically constructed based on ...
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Chapter and Conference Paper
A CNN-Based Algorithm with an Optimized Attention Mechanism for Sign Language Gesture Recognition
Sign language is the main method for people with hearing impairment to communicate with others and obtain information from the outside world. It is also an important tool to help them integrate into society. C...
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Chapter and Conference Paper
Learning Efficient Representations for Image-Based Patent Retrieval
Patent retrieval has been attracting tremendous interest from researchers in intellectual property and information retrieval communities in the past decades. However, most existing approaches rely on textual a...
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Chapter and Conference Paper
Adaptive Elimination Particle Swarm Optimization Algorithm for Logistics Scheduling
The particle swarm optimization algorithm sets few parameters, is easy to operate, and has now been successfully applied to various optimization problems. For the logistics scheduling problem, in the face of c...
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Chapter and Conference Paper
Magnet Haptic: Using Magnets and Conductive Ink to Self-fabricate Interactive VR Devices
Magnet Haptic method presents an innovative approach for quickly creating tactile input devices tailored to enhance multisensory experiences in virtual reality (VR) environments. This technique utilizes a uniq...
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Chapter and Conference Paper
A Sign Language Recognition Based on Optimized Transformer Target Detection Model
Sign language is the communication medium between deaf and hearing people and has unique grammatical rules. Compared with isolated word recognition, continuous sign language recognition is more context-depende...
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Chapter and Conference Paper
Optimization and Design of Building-Integrated Photovoltaic Systems for a High-Rise Building in Shenzhen
Cities with large populations and limited space, such as Shenzhen, China, require innovative approaches to distributed photovoltaic (PV) power generation on building surfaces to meet renewable energy productio...
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Chapter and Conference Paper
Design of Structural Parameters for Paper-Based Spherical Porous Materials and Its Influence on Static Cushioning Performance
In order to improve the cushioning performance of cushioning materials and reduce the use of materials, the structural parameter is designed and the static cushioning performance of Paper-based Spherical Porou...
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Chapter and Conference Paper
An Adaptive Cruise Hybrid Control Method for Unmanned Driving
With the improvement of computer technology and the development of artificial intelligence technology, the intelligent automobile is constantly advancing. As an important part of Advanced Driving Assistance Sy...
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Chapter and Conference Paper
ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM
Evaluating the adversarial robustness of deep models is critical for training more robust models. However, few methods are both interpretable and quantifiable. Interpretable evaluation methods cannot quantify ...
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Chapter and Conference Paper
A Novel Detection Method for Interface Defect Development of High-Speed Train Cable Terminal
As the weak link of the cable assembly, the internal insulation structure of the cable terminal is complex, the installation requirements are high, and the operating environment is complex, which is prone to e...
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Chapter and Conference Paper
From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values
The assumption of data completeness plays a significant role in the effectiveness of current Multi-view Clustering (MVC) methods. However, data collection and transmission would unavoidably breach this assumpt...
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Chapter and Conference Paper
A VR Environment for Cervical Tumor Segmentation Through Three-Dimensional Spatial Interaction
Brachytherapy is an efficient clinical treatment way for cervical cancer, which is one of the most common gynecological malignancies. Traditional manual cervical tumor segmentation is a massive and time-consum...
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Chapter and Conference Paper
Exploiting Diffusion Model as Prompt Generator for Object Localization
Recently, diffusion models have shown unprecedented power in text-to-image generation. The intermediate features in well-trained text-to-image diffusion models have been proven to contain basic semantic and la...
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Chapter and Conference Paper
Dynamic Event-Triggered Distributed Formation Consistency Control for Multi-UAVs
This study investigates the consistency control problem of distributed multi-Unmanned Aerial Vehicles (multi-UAVs) under dynamic event-triggered mechanism. Firstly, a kind of dynamic event-triggered mechanism ...
