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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68642 条记录，以下是501-510 订阅

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Intraocular Pressure Sensor Based on Flexible Sensing technology

Intraocular Pressure Sensor Based on Flexible Sensing Techno...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Wu, Lifeng Yang, Runze School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China Architectural Engineering Institute Harbin University of Science and Technology Harbin China

ISBN: (纸本)9798350309614

Real-time intraocular pressure (IOP) nondestructive testing (NDT) plays an irreplaceable role in many fields, and the core of the technology is to build a high-performance IOP sensor. In order to fill the gap of portable real-time IOP monitoring equipment in the industry, a kind of IOP sensor based on flexible sensing technology is developed in this paper. In this paper, the Wheatstone bridge IOP sensor is prepared by using laser marking and face to face water transfer technology, and the signal is collected by NFC chip (NHS 3152, NXP) and transmitted to mobile phone APP through antenna for wireless communication. The performance of the IOP sensor reached the sensitivity of 3.1mV/mmHg in the pressure rise stage and 2.8274mV/mmHg in the descending stage. The linear correlation between the two stages was very strong, and the linearity R2 was as high as 0.99698. The performance showed the same effect in the test of pig eye in vitro. The results of performance comparison show that the sensor can maintain good performance under more complex IOP fluctuations, and the optimal power supply form is determined. The sensor has passed the biological activity test and meets the current scientific research and commercial standards in the industry. © 2023 IEEE.

关键词： communication flexible IOP wearable wireless high sensitivity

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Hand Detection and Morse Code Translation for Alternative Communication

Hand Detection and Morse Code Translation for Alternative Co...

引用

2023 international conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Seshadri, Prithvi Dananjayan, Sathian Ahmed, Hasmath Farhana Thariq Vellore Institute of Technology Department of Computer Science and Engineering Chennai India Malaysia

ISBN: (纸本)9798350315127

This paper focuses on developing a real-time Morse code translation system using finger movements captured by a camera and processed with the MediaPipe framework. To enable this, the paper compares the performance of three hand detection algorithms: Yolov5, RetinaNet, and Detectron 2, and identifies MediaPipe as the most effective method for hand tracking. The proposed approach provides a practical and accessible communication method for individuals with speech disorders and opens up new opportunities for improved communication in various settings. The novelty of this work lies in the combination of hand detection algorithms and Morse code translation to develop a robust and efficient communication system for those with speech disorders. Overall, this study highlights the potential of Assistive Speech Technologies in improving communication and promoting inclusion for individuals with speech disorders. © 2023 IEEE.

关键词： Palmprint recognition

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Computed Tomography Liver Tumor Image Classification Using Hybrid Feature Extraction and Classification Techniques

Computed Tomography Liver Tumor Image Classification Using H...

引用

2023 international conference on New Frontiers in Communication, automation, Management and Security, ICCAMS 2023

作者： Lakshmana Reddy, P V Bhaskar Arakeri, Megha P Reva University School of Computer Science and Engineering Bengaluru India Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Manipal India

ISBN: (纸本)9798350317060

Accurate diagnosis of liver tumor is important task for the physician. The purpose of this research work is to investigate the utility of feature extraction and classification techniques in the diagnosis of liver tumor CT images as benign(non-cancerous) and malign(cancerous). The classification results can give useful information for the physician in diagnosing the tumor. In this work, the important features representing the tumor are extracted using SURF, LTP, and PCA. Then extracted features are passed to LSTM to identify the type of liver tumor. Experiments are carried out on the dataset collected from hospital. It is observed that the proposed method performs better when compared to the radiologist results. © 2023 IEEE.

关键词： Feature extraction

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Design of Upper computer Detection System for Vibration Parameters of Mechanical Equipment 4

Design of Upper Computer Detection System for Vibration Para...

引用

4th international conference on Electronic Information Engineering and computer technology, EIECT 2024

作者： Wang, Hongbin Qiao, Pengwei School of Electronic Information Engineering Lanzhou Institute of Technology Lanzhou China School of Electrical Engineering and Information Engineering Lanzhou University of Technology Lanzhou China

ISBN: (纸本)9798331528850

With the increasing development of modern equipment, data collection and real-time display of mechanical equipment are becoming more and more widespread. This article uses Visual Basic software to design a mechanical equipment vibration parameter upper computer detection system. The system interface design layout and underlying software design are described in detail. Through system software debugging, vibration data display and waveform drawing are realized, and vibration amplitude and frequency measurement are also achieved, which has certain practical value. © 2024 IEEE.

关键词： Program debugging

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Proceedings of 2023 4th international conference on computer science and Management technology, ICCSMT 2023

Proceedings of 2023 4th International Conference on Computer...

引用

4th international conference on computer science and Management technology, ICCSMT 2023

ISBN: (纸本)9798400709517

The proceedings contain 181 papers. The topics discussed include: construction of highway electromechanical automation operation and maintenance system based on computer network;carbon emission reduction decision and optimization of blockchain-based supply cold chain;design and implementation of e-commerce big data analysis system based on Hadoop;design and research on supervision project management system based on system engineering;research on a mine safety intelligent protection system based on an embedded platform and exponential smoothing algorithm;digital management system for power grid devices: design and implementation;design of a university book push system based on big data;optimization strategies for testing environments in large-scale distributed systems based on Java-Agent;and a deep learning framework: prediction of the number of participants in wordle and the distribution of game outcomes.

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computer Aided Engineering System of Amorphous Transformers based on Digital Twin technology

Computer Aided Engineering System of Amorphous Transformers ...

引用

2023 international Russian automation conference, RusAutoCon 2023

作者： Stulov, Alexey Tikhonov, Andrey Karzhevin, Andrey Ivanovo State Power Engineering University Department of Electrical Engineering Ivanovo Russia

ISBN: (纸本)9798350345551

Current trends in the development of the electrical industry are characterized by a constant complication of the design of products and, accordingly, increased requirements for the accuracy and speed of research and development work. The use of digital twin technologies in power and distribution transformer computer aided engineering analysis systems (CAE) is the most effective tool for obtaining the right technical solution. Nowadays modern systems of engineering analysis are based digital twin technologies. Distribution transformers are main objects in the electrical network. Reliability and safety of operation of transformers directly depends on the technical solutions adopted in the process of designing and engineering analysis of equipment. The use of digital twin technology makes it possible to design transformers with high precision. Thus, the problem of development CAE analysis system of amorphous transformers based on digital twin technology is relevant. © 2023 IEEE.

关键词： Reliability analysis

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PnP-AE: A Plug-and-Play Module for Volumetric Medical Image Segmentation

PnP-AE: A Plug-and-Play Module for Volumetric Medical Image ...

引用

2023 IEEE international conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Li, Qiankun Huang, Xiaolong Fang, Bo Zhang, Yani Chen, Yongyong Chen, Junxin University of Science and Technology Hfips Chinese Academy of Sciences Department of Automation Hefei China Chongqing University of Technology School of Artificial Intelligence Chongqing China The University of Sydney School of Computer Science Sydney Australia University of Science and Technology Hfips Chinese Academy of Sciences Hefei China School of Computer Science and Technology Shenzhen China Dalian University of Technology School of Software Dalian China

ISBN: (纸本)9798350337488

In recent years, 3D volumetric medical images have been widely used in clinical diagnosis, however, the popular 2D networks were reported unsuitable for segmenting them. In this direction, we propose a plug-and-play (PnP-AE) module to improve the performance of using 2D network for 3D medical image segmentation. Our method takes advantage of the intrinsic correlation between adjacent slices, by multiple encoders and fusion components to decouple plane feature extraction and depth information integration. In addition, the proposed weight sharing and feature storage strategies make PnP-AE extremely efficient. Our method is able to conveniently incorporate with mainstream 2D networks to segment 3D volumetric medical images. Experimental results demonstrate the excellent performance of our method. The source code is available at https://***/qklee-lz/PnP-AE. © 2023 IEEE.

关键词： Adjacent information exploration Feature fusion Medical image segmentation Plug-and-play

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Research on a Novel Hand Exoskeleton Rehabilitation Training System 21

Research on a Novel Hand Exoskeleton Rehabilitation Training...

引用

21st IEEE international conference on Mechatronics and automation (IEEE ICMA)

作者： Gu, Shuoxin Ye, Zhang Zhang, Linshuai Peng, Rui Wang, Jiaxin Li, Haonan Chengdu Univ Informat Technol Sch Automat Chengdu 610225 Peoples R China Chengdu Univ Tradit Chinese Med Sch Intelligent Med Chengdu 611137 Sichuan Peoples R China Chengdu Univ Informat Technol Coll Appl Math Chengdu 610225 Peoples R China

ISBN: (纸本)9798350388084;9798350388077

Stroke is one of the common causes of the limb dysfunction, particularly in the elderly. Hand dysfunction severely affects patients' daily activities, so making the recovery of hand function is crucial for improving their quality of life. This study aims to develop an hand exoskeleton based on the underactuated technology to assist in the hand rehabilitation training of stroke patients. A novel underactuated hand exoskeleton is designed by using push-rod motors and 3D-printed gear-rack transmission mechanisms. The exoskeleton can simulate the natural movement of the patients' fingers, simplifying the control system by reducing the number of actuating components, while enhancing the portability and adaptability of the hole system. The 3D model and motion analysis of the hand exoskeleton are established in SolidWorks to verify its kinematics characteristics. At the same time, ensure that it meets the needs of rehabilitation training. The prototype consists of the actuation module, the main control module, and the human-computer interaction module, pressure and bending sensors. These sensors can monitor and provide the feedback on the force and joint angles during training in real-time. Additionally, a human-computer interaction interface based on Bluetooth communication allows patients and therapists to conveniently control and monitor the system status. Experimental results indicate that the hand exoskeleton system can effectively assist patients in rehabilitation training, meeting the requirements for joint degrees of freedom and range of motion. The system's actuating force is sufficient to support the correction of hand joint movements. The hand exoskeleton developed in this study shows great potential in rehabilitation training, not only improving rehabilitation efficiency but also reducing the workload of therapists, providing more personalized and precise rehabilitation services for stroke patients.

关键词： Stroke Rehabilitation Hand Exoskeleton Underactuated technology 3D Printing Human-computer Interaction

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A Classification Method for ECG Signals Based on Convolutional Neural Network 20

A Classification Method for ECG Signals Based on Convolution...

引用

20th IEEE international conference on Mechatronics and automation, ICMA 2023

作者： Yang, Yuan Guo, Jin Lyu, Fengze Guo, Shuxiang Beijing Institute of Technology The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology Beijing100081 China Southern University of Science and Technology The Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China

ISBN: (纸本)9798350320831

Cardiovascular disease is a chronic disease with high incidence, high disability and high mortality, which poses a great threat to the life and health of people all over the world. At present, the incidence and mortality of cardiovascular disease are increasing year by year worldwide, so the prevention and treatment of cardiovascular disease has become a top priority. In recent years, with the development of computer technology in the field of auxiliary diagnosis and treatment, the research on automatic classification of Electrocardiogram (ECG) signals has ushered in new opportunities. In this study, ECG signals are taken as the research object, to analyze the auxiliary diagnosis needs of users such as patients and pathologists. This study mainly uses ECG data from MIT-BIH database, combined with relevant preprocessing knowledge and deep learning classification model, to achieve ECG reading, denoising, segmentation, classification and so on. It can effectively improve the efficiency of diagnosis. It has certain reference value for assisting users to diagnose arrhythmia. © 2023 IEEE.

关键词： Convolutional neural networks

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A Knowledge Graph Quality Evaluation Method for Multilevel Power Grid Dispatching Cloud

A Knowledge Graph Quality Evaluation Method for Multilevel P...

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2023 IEEE international conference on Image Processing and computer Applications, ICIPCA 2023

作者： Huang, Xinjian Zhang, Jie Gao, Shang Chen, Jian Chen, Ziyun Peng, Cheng Nari Research Institute Nari Group Corp. Nanjing China State Grid Tianjin Electric Power Company Automation Department Tianjin China

ISBN: (纸本)9798350314670

Knowledge graph is an emerging technology used to demonstrate knowledge relationships and has broad application prospects. This paper delves into the theory, methodology, and practical application of knowledge management and quality assessment in multilevel dispatching centers, utilizing the knowledge graph as a foundation. In order to comprehensively evaluate the reliability and practicality of knowledge graphs, a knowledge graph quality evaluation method was proposed, including three dimensions: data intrinsic, service response, and downstream application, the method can provide a theoretical basis for the quality evaluation of knowledge graphs. © 2023 IEEE.

关键词： Quality control

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