92 Result(s)
within
Conference Paper
**yong Peng
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Chapter and Conference Paper
Assessment of High-Speed Train Interactions with Containment Walls in Post-derailment Collisions
To protect high-speed trains in derailments, reinforced concrete (RC) derailment containment walls are often built beside the track. The resulting problem is that derailed trains hit the surrounding RC derailm...
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Chapter and Conference Paper
Research on X Ray Live Work of UHV Transmission Line by Helicopter
In this paper, an X ray device used in UHV helicopter live work is developed, and its electrical performance, mechanical performance and X ray detection function are tested. The results show that the feature o...
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Chapter and Conference Paper
Energy-Based Policy Constraint for Offline Reinforcement Learning
Offline RL suffers from the distribution shift problem. One way to address this issue is to constrain the divergence between the target policy and the behavior policy. However, directly using the behavior poli...
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Chapter and Conference Paper
Development and Validation of Moose Numerical Models for Vehicle Crash Safety Assessments
Moose-vehicle collisions often cause broken glass, deformed roofs, and dented hoods, which makes the driving space invaded to a large extent and seriously threatens the life safety of occupants, and is an esse...
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Chapter and Conference Paper
SE(3)-Diffusion: An Equivariant Diffusion Model for 3D Point Cloud Generation
3D point cloud is a set of discrete data points in three-dimension space and it has been widely applied in computer vision, robotics, and autonomous driving, for tasks such as object recognition, tracking, and...
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Chapter and Conference Paper
Energy Optimal Concentrated Cooperative Guidance Law Design Based on Improved Whale Optimization Algorithm
In this paper, a centralized cooperative proportional navigation(C-CPN) law based on the improved whale optimization algorithm is proposed. Firstly, the engagement kinematics between the missiles and target is...
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Chapter and Conference Paper
ACT: Action-assoCiated and Target-Related Representations for Object Navigation
Object navigation tasks require an agent to find a target in an unknown environment based on its observations. Researchers employ various techniques, such as extracting high-level semantic information and buil...
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Chapter and Conference Paper
Federated Trajectory Search via a Lightweight Similarity Computation Framework
Contact tracing is one of the most effective ways of disease control during a pandemic. A typical method for contact tracing is to examine the spatio-temporal companion between the trajectories of patients and...
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Chapter and Conference Paper
MSP: Learned Query Performance Prediction Using MetaInfo and Structure of Plans
Query performance prediction is important and challenging in database management systems. The traditional cost-based methods perform poorly predicting query performance due to inaccurate cost estimates. In rec...
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Chapter and Conference Paper
Study on Optimization Model of Oil Pipeline Intermittent Transportation
In the process of crude oil pipeline transportation, if the transportation volume is lower than the minimum allowable pipeline transportation, the pipeline will increase the operation economy due to the increa...
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Chapter and Conference Paper
Proactive Rumor Control: When Impression Counts
The spread of rumors in online networks threatens public safety and results in economic losses. To overcome this problem, a lot of work studies the problem of rumor control which aims at limiting the spread of...
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Chapter and Conference Paper
User Context-Aware Attention Networks for Answer Selection
Answer selection aims to find the most appropriate answer from a set of candidate answers, playing an increasingly important role in Community-based Question Answering. However, existing studies overlook the c...
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Chapter and Conference Paper
How to Share Medical Data Belonging to Multiple Owners in a Secure Manner
Over the past few years, we have witnessed that the big data analysis technologies based on machine learning and deep learning have brought great change to medical research. The medical data is a special kind ...
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Chapter and Conference Paper
EEG-Based Emotion Recognition via Joint Domain Adaptation and Semi-supervised RVFL Network
In recent years, emotion recognition based on EEG has been implemented and got many achievements. Nevertheless, the difference of EEG data distribution is one of the key factors affecting the accuracy of EEG-b...
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Chapter and Conference Paper
Research on Radar Photoelectric Intelligent Cooperative Detection of LSS-Target
Aiming at the problem of effective detection and identification of low, small and slow target (LSS-target), this paper studies the composition of radar photoelectric intelligent system, analyzes the mechanism ...
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Chapter and Conference Paper
Learning an Index Advisor with Deep Reinforcement Learning
Indexes are crucial for the efficient processing of database workloads and an appropriately selected set of indexes can drastically improve query processing performance. However, the selection of beneficial in...
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Chapter and Conference Paper
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection
Driver mental state detection has been playing an increasingly significant role in safe driving for decades. Electroencephalogram (EEG)-based detection methods have already been applied to improve detection pe...
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Chapter and Conference Paper
Privacy-Preserving Polynomial Evaluation over Spatio-Temporal Data on an Untrusted Cloud Server
Nowadays, with the popularity of location-aware devices, multifarious applications based on the spatio-temporal data come forth in our lives. In these applications, a platform (enterprise) collects the users’ ...
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Chapter and Conference Paper
GRHAM: Towards Group Recommendation Using Hierarchical Attention Mechanism
Group recommendations extend individual user recommendations to groups, which have become one of the most prevalent topics in the recommender system and widely applied in catering, tourism, movies, and many ot...
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Chapter and Conference Paper
Study on Centrifugal Pump Rotor Fault Feature Extraction Based on Fractal Theory
This paper introduces the fundamental theory of fractal and the definition of correlation dimension firstly, then provides the process solving the correlation dimension by utilizing G-P algorithm and the deter...
