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Chapter and Conference Paper
Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network
To explore the correlation between emotional mood and sleep quality in a college student population, we propose a new method based on pseudo-siamese network, which can quickly diagnose the causes of depression...
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Chapter and Conference Paper
Obstacle Avoidance Control Method for Robotic Assembly Process Based on Lagrange PPO
The actual 3C assembly of robotic arms in factories often involves high-risk operations that need to be secured to prevent accidents. However, traditional reinforcement learning (RL) methods tend to pursue hig...
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Chapter and Conference Paper
An Interpretable Vulnerability Detection Framework Based on Multi-task Learning
Vulnerability detection (VD) techniques are critical to software security and have been widely studied. Many recent research works have proposed VD approaches built with deep learning models and achieved state...
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Chapter and Conference Paper
Robotic Arm Movement Primitives Assembly Planning Method Based on BT and DMP
To realize the skill migration and generalization of robotic arm in industrial production. We extracts 7 basic movement primitives from industrial tasks. Parameterize each primitive and build a library of move...
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Chapter and Conference Paper
Continual Learning for Morphology Control
In complex environment, the evolution of agent forms is pluralistic. How to evolve the ideal agent form in multiple environments is very challenging. In addition, the lifelong reinforcement learning of agents ...
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Chapter and Conference Paper
Velocity Control of Near Space Vehicle Based on Enhanced Pigeon-Inspired Optimization
The problem of near space vehicle (NSV) control has aroused widespread concern in recent years
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Chapter and Conference Paper
Simulation Analysis of Electromagnetic Compatibility Performance of a Network Connector
Based on the 3D electromagnetic simulation software CST, the electromagnetic compatibility performance of a network connector is simulated in this paper, including the radiation sensitivity, radar cross sectio...
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Chapter and Conference Paper
An Improved Siamese Capsule Networks Classification Method for Few Sample Remote Sensing Images
To address the problems of insufficient data and blurred details in remote sensing images under different scenarios, we propose a method to improve Siamese Capsule Networks for classification of remote sensing...
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Chapter and Conference Paper
Research and Application of Model-Based Aircraft Complex Function Analysis Method
At present, the overall design of aircraft is facing with the problems of increasingly complex functions and close cross-interconnection of systems. Aiming at the characteristics of complex function, such as m...
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Chapter and Conference Paper
Research on the Technology of Improving Flowback Performance of Fracturing Cleanup Additive
In order to enhance the flowback efficiency of fracturing fluid in the formation, improve the effect of oil well fracturing stimulation; we closed the more expensive non – ionic fracturing cleanup additive FT ...
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Chapter and Conference Paper
A New Insight of Carbon Blacks and Burning Catalysts in Composite Modified Double Base Propellant
The synergistic effect between carbon blacks and burning catalysts (CuO and PbO) in composite modified double base (CMDB) propellant is detailed studied in this work. It was found that CuO is much easier to ad...
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Chapter and Conference Paper
A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction
Information diffusion prediction is an important task to understand how information spreads among users. Most previous studies either only focused on the use of diffusion sequences, or only used social network...
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Chapter and Conference Paper
Preference-Aware Modality Representation and Fusion for Micro-video Recommendation
Personalized multi-modal micro-video recommendation has attracted increasing research interests recently. Despite existing methods have achieved much progress, they ignore the importance of the user’s modality...
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Chapter
Dissipative Soliton Buildup Dynamics
The development of ultrafast pulse fiber lasers has great impact on many aspects of our life for their versatile applications in fields ranging from fundamental sciences to industrial purposes. By virtue of pa...
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Chapter and Conference Paper
Evolutionary Game of Green Credit Allocation in the Chemical Industry and Financial Institutions Under the Context of Carbon Neutrality
By constructing a game model involving chemical enterprises and financial institutions to analyze the logical motivation and game equilibrium results of various actors in the process of allocating green credit...
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Chapter and Conference Paper
Multi-formation Tracking Control for Second-order Nonlinear Multi-UAV System via Impulsive Algorithm
The multi-formation tracking control for nonlinear multi-UAV systems with the case of fixed and switching topology is investigated in this paper. All the UAVs in the system are divided into multiple subgroups....
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Chapter and Conference Paper
The Effect of Diagonal Bar Position in Prohibition Signs on Recognition Efficiency of the Signs
Prohibition signs warn people of certain behaviors to avoid danger or risk, so they should be carefully designed. ISO regulated that prohibition signs should be designed with the diagonal bar as foreground of ...
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Chapter and Conference Paper
Controllable Optical Characteristics of TiN Films Prepared by Magnetron Sputtering
In this paper, TiN thin films prepared based on magnetron sputtering are studied. The characteristics of TiN thin films fabricated by non-reactive direct current sputtering are analyzed by using X-ray photoele...
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Chapter and Conference Paper
SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks
Served as an important role in numerous machine learning models, network representation learning, also known as graph embedding, aims to represent large-scale networks by map** nodes into a low-dimensional s...
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Chapter and Conference Paper
A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway
Hospitals are one of the most energy-consuming commercial buildings in many countries as a highly complex organization because of a continuous energy utilization and great variability of usage characteristic. ...
