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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51-60 订阅

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SSVEP EEG signal classification model based on EEMD-FastICA-TRCA 24

SSVEP EEG signal classification model based on EEMD-FastICA-...

引用

3rd international conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2024

作者： Liu, Yunfeng Zhang, Xueru Wan, Sijia Zhan, Weijian Liu, Yongming Zhao, Zhuanzhe School of Mechanical Engineering Anhui Polytechnic University Anhui Wuhu China School of Artificial Intelligence Anhui Polytechnic University Anhui Wuhu China

ISBN: (纸本)9798400707308

In order to retain as many effective signals in EEG as possible and improve the accuracy of a signal classification and the performance of the brain-computer interface system, a steady-state visual evoked potential EEG classification model combining ensemble empirical mode decomposition, fast, independent component analysis and task-related component analysis was proposed to solve the problem that noise would reduce the accuracy of signal classification and recognition. Firstly, it is proved that the proposed EEMD-FastICA noise reduction model has certain advantages over the standard noise reduction methods, and the performance of the model is verified by using the Benchmark dataset of the brain-computer interface group of Tsinghua University. On this basis, the EEMD-FastICA noise reduction model is combined with the TRCA algorithm to classify EEG signals, and the classification results are compared with other classification models. The comparison results show that under different time Windows, the classification accuracy and information transmission rate of the proposed model are higher than those of other models. Within 1.5 S, the highest classification recognition accuracy was 85.83%, and the highest ITR was 238.34 bits/min. © 2024 Copyright held by the owner/author(s).

关键词： Empirical mode decomposition

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Study on the Impact of Electromagnetic Field on Corrosion in Circulating Water Pipelines 3rd

Study on the Impact of Electromagnetic Field on Corrosion in...

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

作者： Chen, Xiangyu Wang, Dongqiang Li, Gangsheng School of Electromechanical College Zhongyuan University of Technology Zhengzhou450007 China Henan Luxin Intelligent Technology Co. Ltd. Xinxiang453700 China

ISBN: (纸本)9789819746194

The application of electromagnetic fields in industrial water treatment has been a recent research focus. Based on the anti-corrosion effect of electromagnetic fields in the circulating water system, the corrosion of pipes is observed, and the concentration of iron ions in the circulating water is measured to assess the anti-corrosion effect of the electromagnetic field. The high-frequency signal generator releases signals in the processing cavity and controls them, creating a high-frequency electromagnetic field within the cavity. When water flows through the cavity, it absorbs the energy of the high-frequency electromagnetic field, thereby altering its physical and chemical properties, promoting the detachment of rust, and facilitating the formation of a dense layer of iron oxide on the inner wall of the pipe. This ultimately achieves the anti-corrosion effect. Using a self-built experimental platform, the influence of electromagnetic fields on the corrosion of circulating water pipes is explored, and its mechanism is discussed. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Pipeline corrosion

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Gear Modification and Contact Performance Analysis of the ACG Reducer 3rd

Gear Modification and Contact Performance Analysis of the AC...

引用

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

作者： Zhu, Shimin Mo, Jingyu Department of Mechanical Engineering Xiamen University of Technology Xiamen361024 China School of Marine Equipment and Mechanical Engineering Jimei University Xiamen361021 China

ISBN: (纸本)9789819788903

The Abnormal cycloidal gear (ACG) reducer is a new 2 K-H internal meshing reducer. A comprehensive modification method along the tooth profile and tooth lead is adopted to tackle the problem of stress concentration and meshing impact during the operating stage in ACG reducer. Structural characteristics of ACG reducer and its transmission tooth are designed, and mathematical model of ACG gear modification is established. Based on the loaded tooth contact analysis, the influence of modification on the contact pattern, contact stress, and contact force are studied. The results demonstrate that the contact pattern of the modified gear is elliptical, and the tooth contact stress field of the tooth surface is significantly improved, which solves the problem of meshing impact and stress concentration, reduces the sensitivity of the gear pair to the axial installation error and signifycantly improves the transmission performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Stress concentration

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UDS for Data Communication in Temperature Monitoring 3rd

UDS for Data Communication in Temperature Monitoring

引用

3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Mallikarjun, B.C. Prathima, H.S. Department of ETE Siddaganga Institute of Technology Karnataka Tumkur India

ISBN: (纸本)9789819784288

Electronic Control units (ECUs) are computer systems which are capable to process this data and send signals to the various systems in the vehicle to modify their behavior in order to optimize performance and ensure safety. Maintaining appropriate operating temperatures within ECUs is essential for preventing overheating, which can lead to system malfunction or failure. Overheating can cause the components of an ECU to degrade over time, leading to decreased performance, increased energy consumption, and potential system failure. This proposed work provides a temperature monitoring solution, i.e., Unified Diagnostic Service (UDS), that enhances the overall functionality of ECUs and contributes to vehicle safety and performance. The temperature monitoring solution would enable the ECUs to measure and monitor the temperature of the vehicles components and systems, which would help to reduce the risk of malfunctions and overheating, which can lead to catastrophic failures and safety risks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Catastrophic Electronic control units Temperature monitoring

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Hotspots and Frontiers on Copper Mineral Prediction Using Knowledge Graph 3

Hotspots and Frontiers on Copper Mineral Prediction Using Kn...

引用

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

作者： An, Zhaofeng Wang, Yongzhi Dong, Yuhao Tian, Jiangtao Wang, Cheng Bilal, Muhammad Atif College of Geoexploration Science & Technology Jilin University Changchun130061 China Institute of Integrated Information for Mineral Resources Prediction Jilin University Changchun130061 China Geological Survey Institute of Xinjiang Uygur Autonomous Region Urumqi83000 China

ISBN: (纸本)9781510688179

Copper mineral is a critical industrial raw material that is essential to global economic development. To explore the research status, hotspots, and frontiers in the field of copper mineral prediction, 472 Chinese articles and 152 English articles published between 1974 and 2024 were collected from the CNKI and Web of Science WoS core databases. Using the community structure analysis software CiteSpace, a visualization analysis was conducted on aspects such as collaborative authorship, research countries, research institutions, keyword clustering, and spatiotemporal keyword distribution maps. The results reveal an evolutionary trend in copper mineral prediction research from fundamental theory to technical applications: early studies focused primarily on basic issues such as metallogenic conditions, metallogenic processes, and geochemical anomalies, while recent studies have gradually shifted toward the application of intelligent technologies such as predictive models, deep mineral exploration, and spatial data analysis. Domestic research emphasizes resource development and precise prediction in specific regions, whereas international research focuses more on the introduction and promotion of intelligent methods. In the future, technologies such as data mining, machine learning, and 3D modeling are expected to further advance the efficient exploration and development of copper mineral resources This study provides an important reference for understanding research dynamics and directions in the field of copper mineral prediction. © The Authors.

关键词： Prediction models

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Predictive Insights for Enhancing Customer Retention in Banking: Integrating Power BI and Random Forest 3rd

Predictive Insights for Enhancing Customer Retention in Bank...

引用

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

作者： Sumanasri, A. Vyshnavi, M. Manogna, R. Nikhila Keerthi, Kelam Kesavarshini, A. Pande, Sagar Dhanraj School of Computer Science Engineering VIT-AP University Andhra Pradesh Amaravati India Department of Computer Science and Engineering School of Engineering and Technology Pimpri Chinchwad University Maharashtra Pune India

ISBN: (纸本)9789819743582

The main goal of the study is to solve the problem of losing customers or clients in various financial organizations, especially in the banking sector. It investigates the use of Random Forest algorithm and the Power BI dashboard which helps to forecast churn and improve retention strategies. Historical data—transactions, demographics, and usage patterns—is collected and a thorough analyzation is done with the help of Power BI to provide a dynamic dashboard that provides insights in real-time. Combining data analytics technologies and predictive skills with their retention initiatives can help banks increase their efficacy and efficiency. Economic loss and operational difficulties are brought on by customer attrition. The outcome of this study suggests a method for forecasting customer attrition in banks that combines Power BI’s amazing data visualization techniques with Random Forest’s highly accurate predictive skills. The Random Forest algorithm integrates multiple decision trees to make predictions in a precise and expandable way. Moreover, it has the capability of handling large data sets. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Sales

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Deep Learning Technique for computer Vision-Based Pose Estimation for Augmented Reality 3rd

Deep Learning Technique for Computer Vision-Based Pose Estim...

引用

3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Palanimeera, J. Ponmozhi, K. Jyothi, Kanagaraj Dargar, Shashi Kant Birla, Shilpi Department of Computer Applications Sathyabama Institute of Science and Technology Chennai India Department of Computer Applications Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Biotechnology Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Manipal University Jaipur Rajasthan Jaipur India

ISBN: (纸本)9789819784288

Pose estimation approaches of open pose were suggested. Pose estimation in real-time is a difficult research subject with many computer vision applications. Pose estimation applications are Human Activity Estimation, Motion Transfer and Augmented Reality, Training Robots, Motion Tracking for Consoles, and Human Fall Detection. This paper describes the Augmented Reality (AR) of pose estimation. AR is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. One interesting use for obtaining the Open-Pose discovered important locations in each pose is in the field of augmented reality. A technique for 3D model overlays on an image using pose key point information that is presented in this study. To extract crucial information from the data, the fully convolutional networks deep learning technique is used. The technique used in this work comprises the real-time intersection of the picture plane with the intended 3D model and accurate model orientation based on the key point data. The performance will greatly depend on the Graphics Processing Unit specifications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

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Application of computer Vision Recognition in Urban Rail Transit Construction 3rd

Application of Computer Vision Recognition in Urban Rail Tra...

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

作者： Du, Fang Xu, Feng Du, Chong Zhejiang Haining Rail Transit Operation Management Co. Ltd. Zhejiang Jiaxing314400 China

ISBN: (纸本)9789819788903

In the complex working environment of urban rail transit, unsafe behavior of workers is the main factor causing safety accidents. In view of the problem that operators do not wear helmets and fluorescent clothing as required in the construction of urban rail transit, an improved algorithm based on YOLOv5 is proposed to detect whether operators wear helmets and fluorescent clothing. First, YOLOv5 is combined with multi-headed self-attention to enhance the extraction of small target features from deep network and improve the expression ability of network features;Secondly, the convolutions in YOLOV5 are replaced by depthwise separable convolutions, which can further reduce the network parameters;Finally, context information extraction module is fused for improvement to fully capture the relationship between pixels. The experimental results show that the improved algorithm mAP reaches 88.5, 3.5% higher than the original YOLOv5 algorithm, and can basically meet the needs of daily safety supervision. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Urban transportation

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Impact of Drain Doping on the Performance of L-Shaped TFET 3rd

Impact of Drain Doping on the Performance of L-Shaped TFET

引用

3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Kumar, Rishu Raj, Abhishek Swain, Sukanta Kumar Sharma, Shashi Kant Department of Electronics and Communication Engineering Indian Institute of lnformation Technology Jharkhand Ranchi835217 India

ISBN: (纸本)9789819784639

In this study, the performance analysis of an L-shaped Tunnel Field-Effect Transistor (TFET) is reported, and its electrical characteristics are examined using Silvaco TCAD device simulator. The L-shaped TFET is specifically designed to ensure that the tunneling current is dominant in the direction perpendicular to the gate. To address the issue of electric field crowding causing corner tunneling near the source region, the proposed L-shaped TFET incorporates drain doping (p +− doping for n-type operations). By strategically doping the drain region, the Ion/Ioff current ratio of the transistor is significantly enhanced by a factor of 109, with corner tunneling playing a major role in improving the switching characteristics. Drain doping demonstrates promising electrical characteristics highlighting its potential for enhancing performance in various applications. Optimization of the concentration of drain doping provides an effective approach to improve the transistor's switching behavior and achieve overall better performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Hafnium oxides

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End-to-End Performance Analysis of Dual-User Transmission Systems with Selective Amplify-and-Forward Relay Selection Scheme in Log-Normal Shadowing 3rd

End-to-End Performance Analysis of Dual-User Transmission S...

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3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Tahsin, Mahdia Yagnik, Shailee Department of Electrical and Computer Engineering University of Mississippi OxfordMS38677 United States

ISBN: (纸本)9789819739363

This paper explores the advantages of employing a selective relay selection method compared to a random relay selection approach in millimeter-wave (mmWave) networks assisted by amplify-and-forward (AF) relays, featuring two source-destination pairs and two relays. The investigation includes an analysis of the outage probability associated with the end-to-end signal-to-noise ratio (SNR) for users under both relay selection strategies in a log-normal shadowing channel. The proposed relay selection technique has been incorporated into relay-assisted mmWave networks, considering the shadowing effects caused by blockages. Simulation results demonstrate that the selective relay assignment outperforms random relay selection. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Relay control systems

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