410 Result(s)
within
Chapter
Minghui **ao
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Chapter and Conference Paper
Lightning Risk Assessment of 330 kV Transmission Line Under Icing Conditions in Qinghai Area
Icing and lightning strikes are the main causes of transmission line faults. Currently, the lightning strike risk assessment methods are too singular. The impact of icing on the electrical performance of the l...
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Chapter and Conference Paper
Design of Train Traction System for EMU Based on MBSE
Model-Based Systems Engineering (MBSE) has been widely applied in the aerospace field and is gradually attracting attention in the railway transportation sector. With the advancement of railway technology, sho...
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Chapter and Conference Paper
Modeling and Implementation of EMU Traction System
With the improvement of the complexity of rail transit products and the development of intelligent level, the design of EMU traction system needs more effective demand analysis methods, more reliable modeling ...
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Chapter and Conference Paper
Research on Requirement Management of Railway Vehicle Design Based on MBSE
Model-Based Systems Engineering (MBSE) is a model-oriented system analysis method with a high degree of normalization, standardization and reusability. At present, in the process of railway vehicle design and ...
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Chapter and Conference Paper
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation
Ensuring traffic safety is crucial in the pursuit of sustainable transportation. Across diverse traffic systems, maintaining good situation awareness (SA) is important in promoting and upholding traffic safety...
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Chapter and Conference Paper
Dynamic Graph-Driven Heat Diffusion: Enhancing Industrial Semantic Segmentation
Dust significantly impacts construction progress and worker health, necessitating the use of machine learning for dust area identification and pollution mitigation. Existing dust semantic segmentation methods ...
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Chapter and Conference Paper
AgsNet: An Attention-Guided Lightweight Segmentation Network
Urinalysis test strips are commonly used for urine routine examination. However, due to possible defects in the liquid path, such as blockages, droplets may leak during the process of drop** urine samples on...
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Chapter and Conference Paper
Distribution Characteristics of Slightly Uneven Electric Field in Oil of Oil-Pressboard Insulation Structure Under DC Voltage
Nowadays, the converter transformer has become one of the key equipment in the High voltage direct current (HVDC) transmission system. Due to factors such as the interface charge in the insulation structure of...
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Chapter and Conference Paper
Calculation Method and Application of Carbon Emission in Newly Built Urban District
The district is the basic unit of urban construction and a critical link in promoting the “double carbon” target. Based on the analysis of influencing factors, a district carbon emission calculation model cove...
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Chapter and Conference Paper
Influence of Active Recovery and Initial Microstructures on Metadynamic Recrystallization of 5083 Aluminum Alloy
To study metadynamic recrystallization, hot compression tests were conducted using Thermecmastor-Z thermomechanical simulator equipped with an automatic water-cooling system, which can shorten the delay time b...
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Chapter and Conference Paper
Deep Neural Network Model over Encrypted Data
Deep Neural Networks (DNN) model training usually requires a large amount of data as the foundation, so that the model can learn effective features and rules. However, these data often contain sensitive inform...
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Chapter and Conference Paper
Optimization of Volumetric Fracturing Parameters for Deep Horizontal Wells Based on Integrated Geological-Engineering Workflow in Tuha Oilfield
The volume fracturing technology of horizontal well is one of the key technical approaches to develop deep tight sandstone effectively. Inappropriate fracturing parameters will lead to insufficient reservoir s...
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Chapter and Conference Paper
Parallel Artificial Rabbits Optimization Algorithm for Image Watermarking
This paper proposes an improved blind watermarking approach combined with a meta-heuristic algorithm. For the purpose of enhancing convergence accuracy in the original artificial rabbit optimization algorithm,...
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Chapter and Conference Paper
Construction of Multimodal Dialog System via Knowledge Graph in Travel Domain
When traveling to a foreign city, we often find ourselves in dire need of an intelligent agent that can provide instant and informative responses to our various queries. Such an agent should have the ability t...
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Chapter and Conference Paper
MixCL: Mixed Contrastive Learning for Relation Extraction
Entity representation plays a fundamental role in modern relation extraction models. Previous efforts usually explicitly distinguish entities from contextual words, e.g., by introducing position embedding w.r....
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Chapter and Conference Paper
Learning Discriminative Semantic and Multi-view Context for Domain Adaptive Few-Shot Relation Extraction
Few-shot relation extraction enables the model to extract new relations and achieve impressive success. However, when new relations come from new domains, semantic and syntactic differences cause a dramatic dr...
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Chapter
Low-Carbon Sustainable Development of 5G Base Stations in China
With the construction of new infrastructure is on the rise in many countries, the impact of the 5G developments on circular economy in the era of COVID-19 cannot be overlooked. However, the high energy consump...
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Chapter
Open Source Ecosystem in New Era: Pattern and Trend
At the end of the twentieth century, open source provided new ideas of user driven innovation, low cost and high quality for software development, and therefore achieved great success. An increasing number of ...
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Chapter
Learning-Based Resource Management for Maritime Communications
With the booming smart maritime services from IoT devices, located in the underwater vehicles, ships, sensors and underwater industrial the 5G networks that have supported industrial automation in Palattella e...
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Chapter and Conference Paper
LoS Probability Prediction for A2G mmWave Communications by Using Ray-tracer Under Virtual Urban Scenarios
Line-of-sight (LoS) probability is of great significance for reliable air-to-ground (A2G) millimeter wave (mmWave) communication. In this paper, a machine learning (ML)-based LoS probability prediction method ...
