517 Result(s)
within
Conference Paper
**uyi **
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Chapter and Conference Paper
Capture and Visual Tracking Control of Early Warning Spacecraft Based on a Two-Axis Turntable
In this work, we deal with the pointing control problem for the whole tracking process of a non-cooperative object via a two-axis turntable-based early warning satellite, where the initial target acquisition p...
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Chapter and Conference Paper
Sharding Technologies in Blockchain: Basics, State of the Art, and Challenges
Sharding is one of the key technologies of blockchain scalable characteristics widely used in cryptocurrencies, Internet of Things, supply chain management and other fields. It can achieve high performance sca...
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Chapter and Conference Paper
A Visual Investigation of the Phase Transition of Cyclopentane Hydrates in Porous Media Under the Electrostatic Field
Hydrates, which serve as a novel form of clean energy and a key component in carbon capture and storage (CCS), require a thorough understanding of their phase transition mechanisms within porous media for the ...
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Chapter and Conference Paper
Damage Identification Method of Building Structure Based on Computer Vision
Under the influence of load, earthquake, settlement and other factors, the building structure will be damaged to different degrees. If the building structure damage is not found and handled in time, it will le...
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Chapter and Conference Paper
A Multi-constraint Attitude Control Scheme for Micro-nano Satellite During On-Orbit Standby
In this paper, the attitude control problem of a class of micro-nano satellites in low Earth orbit without solar array driving mechanism is studied. Firstly, based on the attitude dynamics, a three-axis decoup...
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Chapter and Conference Paper
Graph Completion Through Local Pattern Generalization
Network completion is more challenging than link prediction, as it aims to infer both missing links and nodes. Although various methods exist for this problem, few utilize structural information-specifically, ...
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Chapter and Conference Paper
An Uncertainty Estimation Model for Algorithmic Trading Agent
We present an uncertainty estimation model for algorithmic trading agents in financial markets. These agents utilise deep learning to analyse market data and identify trading opportunities. Our model allows fo...
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Chapter and Conference Paper
Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition
The Graph Convolutional Network (GCN) has garnered substantial interest over an extended period owing to its notable efficacy in addressing topological correlations, with particular achievements observed in sk...
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Chapter and Conference Paper
Establishment and Application of Catalyst Optimization Model Based on Genetic Algorithm
This paper explores the optimal catalyst combination for ethanol preparation of c4 olefin to promote the production of c4 olefin. Firstly, grey correlation analysis was used to analyze the influence of the cat...
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Chapter and Conference Paper
Research of VCO Phase-Locked Frequency Source Flickering Clutters Caused by Changes in Temperature
In the spacecraft high-speed data transmission system, for the VCO affected by high and low temperature environment, flickering clutters may occur during the temperature change. Based on this phenomenon, the a...
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Chapter and Conference Paper
Failure Analysis and Shape Optimization of Bonding Wire for SiC Power Module Encapsulated with Epoxy Resin
Two typical SiC power modules, one sealed with silicone gel and the other encapsulated with epoxy, are widely used in electric vehicles. The reliability and shape optimization of bonding wires in silicone gel ...
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Chapter and Conference Paper
Sketchformer++: A Hierarchical Transformer Architecture for Vector Sketch Representation
With the rising ubiquity of digital touch devices and sketch-based interfaces, freehand sketching has become an essential mode of visual communication. Nevertheless, interpreting these often ambiguous and spar...
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Chapter and Conference Paper
Application of Autoencoder for Control Valve Predictive Analytics
In this paper, we investigated the application of an autoencoder neural network for predictive analytics of control valves, which are crucial components in industrial processes with significant consequences in...
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Chapter and Conference Paper
An Empirical Study of Memory Pool Based Allocation and Reuse in CUDA Graph
As the size of deep neural network models continues to increase, it places higher demands for memory capacity and allocation efficiency. NVIDIA GPUs are widely used in deep learning systems. CUDA has proposed ...
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Chapter and Conference Paper
Study on Influences of Interference-Fit Assembly on Dynamic Characteristics of a 10 MW Planetary Gear Train with Flexible Pins
The tooth load in heavy-duty wind turbine gearboxes is significantly affected by the structural deformations of the planetary gear train (PGT) with the interference fit. In this study, a dynamic modeling metho...
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Chapter and Conference Paper
A Unified Framework of Multi-stage Multi-winner Voting: An Axiomatic Exploration
Multi-winner voting plays a crucial role in selecting representative committees based on voter preferences. Previous research has predominantly focused on single-stage voting rules, which are susceptible to ma...
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Chapter and Conference Paper
Hoist Stabilization Design Method
Helicopter payloads for aerial evacuation (MEDEVAC) rescues are difficult to stabilize once the patient begins to swing. As a result of oscillation forces during lifting, the payload begins to swing in three d...
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Chapter and Conference Paper
Preference Contrastive Learning for Personalized Recommendation
Recommender systems play a crucial role in providing personalized services but face significant challenges from data sparsity and long-tail bias. Researchers have sought to address these issues using self-supe...
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Chapter and Conference Paper
Research on ‘5–10–15 Minutes Life Circle’ Planning in Urban Boundary Based on Landscape—Led Method—A Case Study in Beiqiao Town, **angcheng District, Suzhou
To attract more young people return to urban-rural fringe areas, this research aims to shed light on the regeneration of Beiqiao District. Using Beiqiao village as a pilot study, this research combines landsca...
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Chapter and Conference Paper
We Will Find You: An Edge-Based Multi-UAV Multi-Recipient Identification Method in Smart Delivery Services
Unmanned aerial vehicle (UAV) is increasingly becoming a promising solution for last-mile delivery in smart logistics, and multi-UAV scenarios have become increasingly common. In multi-UAV delivery services, t...
