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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11178 条记录，以下是1-10 订阅

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2023 3rd international conference on electrical engineering and computer technology

2023 3rd International Conference on Electrical Engineering ...

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2023 3rd international conference on electrical engineering and computer technology, iceect 2023

The proceedings contain 48 papers. The topics discussed include: research on the relationship between vibration noise and magnetic saturation of magnetic saturated controllable reactor based on COMSOL;multi-objective reactive power optimization for distribution networks based on the modified golden eagle algorithm;a web-based coordinated control platform for source-grid-load-storage of low-voltage stations;analysis and simulation test of electromagnetic disturbance mode conversion in secondary circuit of substation;control strategy of seamless switching between grid-connected and islanding operation for weak-connected microgrid;risk assessment of voltage overrun probability of photovoltaic access distribution system voltage based on quasi-Monte Carlo method;power flow calculation of integrated transmission and distribution networks;and electromagnetic wind-induced vibration energy harvester with a resonant cavity.

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2023 3rd international conference on computer Science, Electronic Information engineering and Intelligent Control technology, CEI 2023

2023 3rd International Conference on Computer Science, Elect...

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3rd international conference on computer Science, Electronic Information engineering and Intelligent Control technology, CEI 2023

ISBN: (纸本)9798350372052

The proceedings contain 182 papers. The topics discussed include: cable defect detection based on terahertz time-domain spectroscopy technology;improvement of multi-mechanism PBFT consensus algorithm based on attribute-based encryption grouping;design and implementation of indoor visual autonomous navigation system for quadrotor UAV based on binocular camera and IMU;LM-Net-Dual: a two branch spatiotemporal feature extraction model for dynamic gestures recognition;finite element simulation analysis of flexible wheel parameters of robot harmonic reducer;configuration and coordinated operation strategy of integrated energy substation for new-type power system construction;online adaptive prediction method for cloud computing workloads with bi-LSTM;a low-side-lobe transmissive antenna based on linear-to-circular polarization conversion metasurface;and design of multi-layer information security protection scheme for vehicle-to-grid system.

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Evaluation of Hybrid Encryption Method to Secure Healthcare Data 3rd

Evaluation of Hybrid Encryption Method to Secure Healthcare ...

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3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Das, Sangjukta Singh, Maheshwari Prasad Namasudra, Suyel Department of Computer Science and Engineering National Institute of Technology Patna Bihar India Department of Computer Science and Engineering National Institute of Technology Agartala Agartala India

ISBN: (纸本)9789819743582

Technological advancements have brought a new era of growth for the healthcare industry. Nowadays, the security of healthcare data and the preservation of user privacy inside smart healthcare systems are being severely compromised by cyber attackers. This work introduces an encryption method that makes use of a hybrid encryption approach by combining both asymmetric and symmetric encryption methods to improve healthcare data security. This scheme solves the key escrow problem and its effectiveness is analyzed through performance evaluations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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A Tennis Momentum Analysis Method Based on Gaussian Dynamics and Machine Learning 24

A Tennis Momentum Analysis Method Based on Gaussian Dynamics...

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3rd international conference on Algorithms, Data Mining, and Information technology, ADMIT 2024

作者： Long, Zheng Li, Na Sun, Mengqing Luo, Jiawen Pan, Ting Yin, Yujie Yang, Xinhua School of Computer and Communication Lanzhou University of Technology Gansu Lanzhou China School of Economics and Management Lanzhou University of Technology Gansu Lanzhou China College of Energy and Power Engineering Beihang University Beijing Beijing China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing Beijing China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing China College of Electrical and Information Engineering Lanzhou University of Technology Gansu Lanzhou China

ISBN: (纸本)9798400718120

Momentum analysis in tennis matches has predominantly focused on qualitative methods, lacking systematic quantitative approaches. This study proposes a novel method that integrates Gaussian dynamics models with machine learning techniques to quantitatively analyze and predict momentum changes in tennis matches. By selecting and defining key indicators such as serve success rate and scoring rate, we developed an algorithm to identify and predict momentum shifts. The proposed method employs ensemble learning techniques, specifically Stacking, to combine multiple machine learning models, enhancing prediction accuracy and execution efficiency. Experimental validation using data from major tennis tournaments, including the 2023 Wimbledon Championships, demonstrates the effectiveness of the proposed approach. The results show that the Stacking model outperforms individual models in accuracy and robustness, providing scientific decision support for coaches and players. This method has low computational requirements, is simple to implement, and considers a wide range of variables, making it highly efficient. Future research will focus on further optimizing the model and applying it to other sports and match types. © 2024 Copyright held by the owner/author(s).

关键词： Gaussian dynamics model

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Design of Precision Machining Servo System Based on Fuzzy PID Composite Control Algorithm 3

Design of Precision Machining Servo System Based on Fuzzy PI...

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3rd international conference on electrical, Electronics, and Information engineering, EEIE 2024

作者： Li, Huaping Lin, Haibo Zhang, Jian Lu, Yujie Institute of Mechanical & Electrical Technology Taizhou Vocational & Technical College Zhejiang Taizhou318000 China

ISBN: (纸本)9781510688179

The contradiction between large stroke drive and high-precision feed is difficult to solve in ultra precision special machining. This article takes three-dimensional structure machining as the object, constructs a prototype manufacturing system for large-scale three-dimensional structures, and proposes a solution to improve positioning accuracy. Through the control method of digital fuzzy control+PID combined with bidirectional static error compensation, the platform achieves sub micron level accuracy within a hundred millimeter stroke, ensuring the high response characteristics and low-speed stability of the servo system. The experimental results prove that the system runs well and can achieve high positioning accuracy, meeting the requirements of micro fabrication. © The Authors.

关键词： Piezoelectric motors

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3rd international conference on Information Control, electrical engineering, and Rail Transit, ICEERT 2023

3rd International Conference on Information Control, Electri...

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3rd international conference on Information Control, electrical engineering, and Rail Transit, ICEERT 2023

ISBN: (纸本)9789819788903

The proceedings contain 35 papers. The special focus in this conference is on Information Control, electrical engineering, and Rail Transit. The topics include: Simulation Analysis and Experimental Verification of the Temperature Field of 110 kV Double-Fracture Disconnect Switch;Research on Electromagnetic Immunity Hardware-In-The-Loop Simulation Test of ADAS in Intelligent Vehicle;the On-Load Simulation Model of Electric Drive System of Electric Vehicle Under Complex Operating Conditions;Parameter Identification of DC Motor Based on Improved Particle Swarm Optimization Algorithm;feasibility Study on Canceling Closing Resistance of 750 kV Short Line Circuit Breaker;application of Commissioning in Power engineering;application Research on Fault Diagnosis and Treatment of Rotating Machinery in Thermal Power Plants;SOC Estimation for Lithium-Ion Batteries Based on a Class of Nonlinear Kalman Filter Algorithm;Ultra-Short-Term Wind Speed Prediction for Wind Farms Based on GA-LSTM Hybrid Model;studying on Traffic Congestion in Expressway Interchange Diversion Area;research on the Conflict Behavior of Internal and External Container Trucks in Smart Port;estimation of Metro Passenger Capacity Based on Passenger-Train Matching Model;reliability-Oriented Air-Rail Intermodal Transport Connection Planning;research and Evaluation of the Quality of Urban Rail Transit Interchange Operation Systems;study on Passenger Flow Prediction of Intercity Railways in the Beijing-Tianjin-Hebei Region;research on Multi-objective Optimization of China–Europe Liner Shipping Speed Based on Different Carbon Policies;ACC System Design and Simulation Verification of Intelligent Vehicle;research on the Comfort of Civil Aircraft Cabin Ventilation;application of computer Vision Recognition in Urban Rail Transit Construction.

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3rd international conference on Information Control, electrical engineering, and Rail Transit, ICEERT 2023

3rd International Conference on Information Control, Electri...

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3rd international conference on Information Control, electrical engineering, and Rail Transit, ICEERT 2023

ISBN: (纸本)9789819746194

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Exploring Transformer-Based Approaches for Hyperspectral Image Classification: A Comparative Analysis 3rd

Exploring Transformer-Based Approaches for Hyperspectral Ima...

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3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Arya, Rajat Kumar Srivastava, Rajeev Department of Computer Science and Engineering Indian Institute of Technology-BHU Varanasi India

ISBN: (纸本)9789819743582

Hyperspectral imaging (HSI) is a technique that captures and analyzes multiple spectral bands for each pixel in an image. Convolutional neural networks (CNNs) effectively extract local features for HSI classification but struggle with capturing sequential spectral signatures. To address this, we conducted a comparative study to assess the performance of transformers, which can handle sequential information, in HSI classification. We reviewed a few models in the literature, analyzing their architecture and performance. Using the Indian Pines dataset, we evaluated models like ViT, SSRN-ViT, SpectralFormer, and Double-ViT. Our results show that Double-ViT models outperform transformers for HSI classification. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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Human-vehicle-road-environment-oriented Intelligent Collision Warning Strategy 24

Human-vehicle-road-environment-oriented Intelligent Collisio...

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3rd international conference on Signal Processing, computer Networks and Communications, SPCNC 2024

作者： Zhang, Youwang Guo, Jianzhang Zhang, Biling School of Information and Communication Engineering Beijing University of Post and Telecommunications Beijing China China Telecom Digital Intelligence Technology Co. Ltd. Beijing China

ISBN: (纸本)9798400710834

Forward collision has become the main cause to the traffic accidents. To avoid forward collision, this paper proposes a single-lane longitudinal collision avoidance safe distance model and an intelligent collision warning strategy considering driver-vehicle-road-environment. First, the influence of driver characteristics, vehicle factors, road conditions and environment on the safe distance is analyzed. Then to obtain a more accurate reaction time, factors of driver, vehicle, road, and environment are taken into consideration, and the weights of different factors are adaptively adjusted using the attention mechanism. Finally, the longitudinal collision avoidance safe distance model and intelligent collision warning strategy are proposed. Simulation results show that the proposed model and strategy can improve traffic efficiency and reduce traffic accidents. © 2024 Copyright held by the owner/author(s).

关键词： Highway accidents

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Deep Convolutional Neural Networks for Autism Spectrum Disorders 3rd

Deep Convolutional Neural Networks for Autism Spectrum Disor...

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3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Patel, Drashti Mittal, Shreyan Rahevar, Mrugendrasinh Patel, Abhishek Department of Computer Science and Engineering CSPIT Charotar University of Science and Technology Gujarat Changa India U & P U Patel Department of Computer Engineering CSPIT Charotar University of Science and Technology Gujarat Changa India

ISBN: (纸本)9789819743582

Autism Spectrum Disorder (ASD) stands as a complex and heterogeneous neurodevelopmental condition, encompassing a range of challenges in social interaction, communication, and behavior. Timely and accurate detection of ASD is crucial to initiate tailored interventions and support, optimizing developmental outcomes for affected individuals. This study delves into a novel avenue for ASD detection, leveraging the capabilities of Deep Convolutional Neural Networks (Deep CNN) applied to textual data. The model training and evaluation stages incorporate established metrics, assessing accuracy, precision, recall, and F1-score. The significance of this research extends beyond its technical prowess. By harnessing the power of deep-learning, this approach bridges the gap between cutting-edge technology and clinical practice. The implications of this study reverberate across multidisciplinary domains, from healthcare to machine learning, underscoring the potential for artificial intelligence to positively impact the lives of those affected by ASD. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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