359 Result(s)
within
Chapter
Conference Paper
Wei WANG
Artificial Intelligence
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Chapter and Conference Paper
A Survey of Integrating Federated Learning with Smart Grids: Application Prospect, Privacy Preserving and Challenges Analysis
With the widespread promotion of smart grid, the power time series data collected by smart meters also increases rapidly. How to collect these data safely and effectively, analyze and utilize them, and provide...
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Chapter and Conference Paper
RBSAC: Rolling Balance Controller Based on Soft Actor-Critic Algorithm of the Unicycle Air Robot
Due to the complexity of the robot’s dynamics model coupled with multiple outputs, most model-based or proportional-integral-derivative type controllers are unable to effectively solve the problem of attitude ...
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Chapter and Conference Paper
A Defect Detection Method for Semiconductor Lead Frame Based on Gate Limite Convolution
Aiming at the problems of high labor intensity, high missed detection rate, and low accuracy in artificial examination of semiconductor lead frame defects, A Defect Detection Method for Semiconductor Lead Fram...
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Chapter and Conference Paper
Real-Time Monitoring System of Spray-Painting Robot Based on Five-Dimension Digital Twin Model
The painting operation environment is extremely harsh, and the dust generated during the painting process can lead to poor monitoring using vision. Therefore, a real-time monitoring system for spray-painting r...
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Chapter and Conference Paper
Optimal Deployment of Large-Scale Wireless Sensor Network Based on Topological Potential Adaptive Graph Clustering
This paper proposed an optimal deployment algorithm for large-scale wireless sensor networks based on graph topology. The algorithm mines the intrinsic property of sensor measurement data as node quality throu...
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Chapter and Conference Paper
Jetson Nano-Based Pedestrian Density Detection in Subway Stations
Computer Vision is one of the popular research in the field of Deep Learning. As a hotspot in the field of computer vision research in recent years, pedestrian detection has a wide application prospect and gre...
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Chapter and Conference Paper
Defect Detection of Exposure Lead Frame Based on Improved YOLOX
In view of the unpredictable defects in the industrial lead frame production line, many factories invest a lot of manpower resources and material re-sources to participate in the inspection process, which will...
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Chapter and Conference Paper
EEG Emotion Recognition Based on Temporal-Spatial Features and Adaptive Attention of EEG Electrodes
EEG signals are more objective in reflecting human emotions, compared to facial expression and speech which can be disguised. Therefore, EEG emotion recognition is a well-worthy research area. The previous rec...
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Chapter and Conference Paper
Concept Drift Detection and Update Algorithm Based on Online Restricted Boltzmann Machine
In this paper, we address a concept drift detection and update algorithm based on the online restricted Boltzmann machine (O-RBM). We introduce an attention mechanism into RBM, and the parameters of each class...
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Chapter and Conference Paper
Design and Practice of Space Station Manipulator Inspecting for Berthing Manned Spacecraft
Design and simulation of space station manipulator inspection mission for berthing manned spacecraft during the assembly and construction of the Tiangong space station is presented in this paper. The system mo...
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Chapter and Conference Paper
Cardinality Estimation of Subgraph Search Queries with Direction Learner
In recent years, graph data has been widely used in various fields, which has made graph data management a hot topic of research. Subgraph searching is a crucial operation for graph data management, but its NP...
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Chapter and Conference Paper
BCTM: A Topic Modeling Method Based on External Information
Topic models are often used as intermediate algorithms for text mining and semantic analysis in natural language processing, and have a wide range of functions. However, most of the existing improvements to th...
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Chapter and Conference Paper
Multi-source Inductive Knowledge Graph Transfer
Large-scale information systems, such as knowledge graphs (KGs), enterprise system networks, often exhibit dynamic and complex activities. Recent research has shown that formalizing these information systems a...
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Chapter and Conference Paper
Dynamics Research and Design of Inspection Robot for Thermal Power Coal Gallery Based on Coalescence of Modified Coulomb Friction Law and Synchronous Belt Drive Principle
The research is carried out on the railway motion driving mode of the coal conveyor inspection robot in the thermal power corridor. Under the premise of satisfying the inspection function, the special working ...
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Chapter and Conference Paper
Context Reasoning Attention Network: Generating Plausible Distractors for Multi-choice Questions
Distractor generation, which aims to generate the wrong option part of multi-choice questions, has been proposed to assist educators to test the examinees’ reading comprehension and reasoning ability. Recently...
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Chapter and Conference Paper
Improved Artificial Field Method Based on the Flight Situation Awareness Map in Coaxial Rotor UAV
The use of unmanned aerial vehicle (UAV) has been recognized by the majority of people, and is regarded as a reliable tool to complete some tasks. As for the obstacle avoidance of coaxial rotor UAV (CR-UAV), a...
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Chapter and Conference Paper
Solder Paste Printing Quality Prediction Model Based on PSO Optimization
Statistics show that about 70% of the surface mount quality problems are in the solder paste printing process, so it is particularly important to optimize the solder paste printing process parameters. The trad...
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Chapter and Conference Paper
Reliability Evaluation of Smart DC Microgrid
Nowadays, one of the main contributors of air pollution is thermal power plant. China want to develop renewable energy to solve the problem [1]. In many areas, roof photovoltaic (PV) energy systems, wind energy s...
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Chapter and Conference Paper
FSI: A FTM Calibration Method Using Wi-Fi Physical Layer Information
Fine Time Measurement (FTM) protocol is included by IEEE 802.11–2016 to address the challenging problem of the high accuracy of the existing system in Wi-Fi positioning. Although FTM promises meter-level rangi...
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Chapter and Conference Paper
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning
With the increasing amount of data, data privacy has drawn great concern in machine learning among the public. Federated Learning, which is a new kind of distributed learning framework, enables data providers ...
