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Chapter and Conference Paper
Research on Novel Topologies of Integrated Pulsed Alternator Systems
The novel integrated pulsed alternator topology is a kind of pulsed power system that radially integrates prime motor and pulsed alternator, which solves the problems such as mechanical noise, excessive axial ...
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Chapter and Conference Paper
Comprehensive Design of Electrical Machines for Integrated Pulsed Discharge Systems
Based on the radial integrated pulsed discharge systems of prime motor and pulsed alternator, the match criteria between the specification parameters of motor and alternator are studied, and the electromagneti...
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Chapter and Conference Paper
Unsupervised Multi-population Evolutionary Algorithm for Community Detection in Attributed Networks
Community detection on attributed networks is a method to discover community structures within attributed networks. By applying community detection on attribute networks, we can better understand the relations...
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Chapter and Conference Paper
Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey
Artificial bee colony (ABC) algorithm is a representative paradigm of swarm intelligence optimization (SIO) algorithms, which has received much attention in the field of global optimization for its good perfor...
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Chapter and Conference Paper
Voltage Regulation Method for Active Distribution Networks Based on Rotary Voltage Regulator
Due to the dominant resistive component in distribution lines, the voltage upper and lower limits may occur in the same scenario. The voltage upper limit is caused by daytime photovoltaic power injection, whil...
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Chapter and Conference Paper
Aerodynamic Characterization of a Ballistic-Correction Bullet
Obtaining the aerodynamic parameters of a ballistic-correction bullet is crucial for improving ballistic correction efficiency and enhancing shooting accuracy. In this study, a numerical simulation method is u...
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Chapter and Conference Paper
Improving Speech Perceptual Quality and Intelligibility Through Sub-band Temporal Envelope Characteristics
In the speech enhancement (SE) model, using auxiliary loss based on acoustic parameters can improve enhancement effects. However, currently used acoustic parameters focus on frequency domain information, negle...
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Chapter and Conference Paper
Die Matching Performance of Ultra-Thin Titanium Sheet Driven by Polyurethane During Electromagnetic Forming
Electromagnetic forming of ultra-thin titanium plates requires high conductivity drive plates, resulting in low die matching rates. Rubber is expected to improve the die matching performance because of large d...
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Chapter and Conference Paper
Technological Empowerment for Aging Workforce in Elderly Care Programs: Service Model Design and Development of an Elderly Care Shared Service Platform
This study introduces a platform designed to address the challenges of global aging by implementing an “elderly assist for elderly” concept. It aims to alleviate the long-term care service manpower shortage by...
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Chapter and Conference Paper
A Local Interpretability Model-Based Approach for Black-Box Adversarial Attack
Deep learning models are vulnerable to adversarial examples due to their fragility. Current black-box attack methods typically add perturbations to the whole example, and added perturbations may be large and e...
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Chapter and Conference Paper
A Flexible Tactile Sensor for Robots Based on Electrical Impedance Tomography
During social interactions, people can obtain a great deal of important information from their tactile senses to improve their relationship with their surroundings. The development of similar capabilities in r...
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Chapter and Conference Paper
A Pre-synchronization Scheme for Grid Connection of Multiple Virtual Synchronous Generators Based on Current Limiting Link
For distributed renewable energy devices that can operate in both grid connected and island mode, and can switch between the two according to demand, The key issue in the switching process is the pre-synchroni...
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Chapter and Conference Paper
Analysis on Grey Space Form and Simulation Evaluation in Landscape Design
In order to improve the landscape design effect, this paper combines intelligent grey space algorithm to improve the design algorithm, and uses Mean-shift algorithm to smooth the multi-focus image. Moreover, t...
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Chapter and Conference Paper
String Constraints with Regex-Counting and String-Length Solved More Efficiently
Regular expressions (regex for short) and string-length function are widely used in string-manipulating programs. Counting is a frequently used feature in regexes that counts the number of matchings of sub-pat...
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Chapter and Conference Paper
Application of Multivariate Statistical Techniques and Water Quality Index to Assess Surface Water Quality: A Case Study of Zhaojiaxi River, China
The water quality in Zhaojiaxi River basin (China) was investigated in terms of water quality index (WQI) and multivariate statistical techniques including factor analysis (FA) and cluster analysis (CA). The m...
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Chapter and Conference Paper
A General Source Code Vulnerability Detection Method via Ensemble of Graph Neural Networks
Deep neural networks have been recently utilized in source code vulnerability detection methods due to their automated feature learning capabilities. However, current deep vulnerability detection models heavil...
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Chapter and Conference Paper
Computer Vision Based Method for Identifying Grouting Defects of Prefabricated Building Sleeves
In order to accurately detect the grouting defects of construction sleeves, a method for identifying the grouting defects of prefabricated construction sleeves based on computer vision is proposed. The 3D targ...
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Chapter and Conference Paper
Stability Detection of Building Bearing Structure Based on Bim and Computer Vision
The stability of building load-bearing structure is closely related to the building life. Unstable building load-bearing structure has a great potential safety hazard. The stability detection method of buildin...
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Chapter and Conference Paper
Adaptive Neural Composite Learning Finite-Time Control for a QUAV with Guaranteed Tracking Performance
This paper discusses the neural adaptive composite learning finite-time control for a quadrotor unmanned aerial vehicle (QUAV). Based on the command filter backstep** control (CFBC) scheme, the computational...
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Chapter and Conference Paper
Control the Migration of Self-propelling Particles in Thermal Turbulence via Reinforcement Learning Algorithm
Planning energy-efficient trajectories can significantly benefit unmanned aerial vehicles (UAVs) by increasing their endurance. Inspired by birds that exploit warm rising atmospheric currents, flying vehicles ...
