2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)最新文献_第4页

Grad-RAR: An Adaptive Sampling Method Based on Residual Gradient for Physical-Informed Neural Networks 基于残差梯度的物理信息神经网络自适应采样方法

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046469

Yanbing Liu, Liping Chen, J. Ding

引用次数: 0

Closed-loop Individual-specific EEG Neurofeedback for Emotion Regulation 闭环个体特异性脑电图神经反馈对情绪调节的影响

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046573

Xiaotong Liu, Jiayuan Zhao, Siyu Wang, Guangying Pei, S. Funahashi, Tianyi Yan

{"title":"Closed-loop Individual-specific EEG Neurofeedback for Emotion Regulation","authors":"Xiaotong Liu, Jiayuan Zhao, Siyu Wang, Guangying Pei, S. Funahashi, Tianyi Yan","doi":"10.1109/ICARCE55724.2022.10046573","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046573","url":null,"abstract":"Individual difference is the main factor affecting the effect of emotion regulation neurofeedback training. An individual-specific emotion recognition model can be constructed based on machine learning. However, the current researches simply the preprocessing process to meet real-time feedback, resulting in a reduction in classification accuracy. This paper proposes a closed-loop electroencephalogram (EEG) neurofeedback processing program with high accuracy in feedback information. Artifact subspace reconstruction is used to optimize EEG processing. The positive, neutral, and negative emotion topographic maps of the 5 frequency bands verify inter-individual differences. A support vector machine with particle swarm optimization is used to construct an individual emotion recognition model based on the power spectral density features. The average classification accuracy of 5 subjects is 97.49%. The emotion facial Go/No-go task objectively demonstrates the effectiveness of neurofeedback training on emotion regulation. The closed-loop individual-specific EEG neurofeedback program provides a promising method for emotion regulation training.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116267935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the Methods of Solving the Firing Data on Move 移动射击数据的求解方法分析

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046496

Huahuan Zhu, Xiaoyu Zhang

引用次数: 0

Semantic Segmentation Algorithm of Remote Sensing Images Based on Improved Panoptic 基于改进Panoptic的遥感图像语义分割算法

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046443

Tong Zheng, L. Liu, Qimeng Chen, Zhongze Chen, Longji Yu, Z. Zhao

引用次数: 0

Rural Sewage Automatic Monitoring System Based on the Internet of Things 基于物联网的农村污水自动监控系统

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046450

Yuan Shi

引用次数: 0

Research on Intelligent Agricultural Meteorological Information Monitoring and Alarm System 智能农业气象信息监测与报警系统研究

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046514

Kaiyi Liu, Hengyuan Kang, Mingrui Lan, Fan Zhang, Linlin Wan, Hongmei Zhang

{"title":"Research on Intelligent Agricultural Meteorological Information Monitoring and Alarm System","authors":"Kaiyi Liu, Hengyuan Kang, Mingrui Lan, Fan Zhang, Linlin Wan, Hongmei Zhang","doi":"10.1109/ICARCE55724.2022.10046514","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046514","url":null,"abstract":"Smart agriculture is the integration and development of modern science and technology in agriculture related fields. Traditional agriculture is gradually transitioning to automatic and intelligent agriculture. Agricultural Internet of things can not only increase crop output, but also liberate productivity and improve labor return. Therefore, this paper studies the intelligent agrometeorological information monitoring system, which can wirelessly monitor the value and range of temperature and humidity, light, soil humidity, CO2 concentration, and save manpower and material resources for people to monitor agrometeorological information at all time. The intelligent agricultural meteorological information monitoring system uses ZigBee technology conforming to IEEE 802.15.4 standard to deploy wireless networks and each node in the network communicates with each other, The terminal sensor sends the collected temperature and humidity, illumination, soil humidity and CO2 concentration signals to the nearest routing node. The routing node wirelessly sends various signals to the coordinator, which then uploads them to the PC through the serial port. The PC displays all information and gives an alarm according to the designed limit value. This paper focuses on the analysis of the main framework and key technologies of the intelligent agriculture remote monitoring system, and the system research, design and implementation.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131360248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Obstacle Avoidance Algorithm of Fixed-wing UAV Swarms Based on Improved Artificial Potential Field 基于改进人工势场的固定翼无人机群避障算法研究

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046495

Qiping Zhou, Yong Wei, Wei He, Shu-min Shang, Haibo Fan, Weisong Yin

引用次数: 1

Crack Detection of Electrical Equipment Based on Improved GoogLeNet 基于改进GoogLeNet的电气设备裂纹检测

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046575

Yihui Zhang, Yin Zhang, Lihua Wang, Xuan Dong, Yijie Li, Hang Sun, Xiaomei Yang

{"title":"Crack Detection of Electrical Equipment Based on Improved GoogLeNet","authors":"Yihui Zhang, Yin Zhang, Lihua Wang, Xuan Dong, Yijie Li, Hang Sun, Xiaomei Yang","doi":"10.1109/ICARCE55724.2022.10046575","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046575","url":null,"abstract":"Crack detection of electrical equipment is significant to maintain its normal operation. Many methods based on deep learning have been applied to detect cracks from the captured images, while most of the existing crack detection algorithms cannot detect the crack quickly and effectively, and rarely applied in electrical equipment with complex structures. In this paper, an improved GoogLeNet by combining DenseBlock and feature fusion layer is proposed. To reduce the amount of network training parameters, DenseBlock is utilized to replace the two branches with a large size convolution kernel in Inception model of the classical GoogLeNet. Moreover, to improve the detection accuracy of the network, a fusion layer integrating deep and shallow features is introduced in the improved GoogLeNet. To mitigate the issue of limited amount of training image data of electrical equipment, except for data augmentation, a transfer learning strategy is used to initialize the parameters of the improved GoogLeNet, where the initial parameters are obtained from the results of training public crack datasets. The experimental results show that the improved GoogLeNet can effectively detect the crack of electrical equipment, and the detection accuracy reaches 97.06%.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121102454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Reversible Data Hiding for Edge Contrast Enhancement of Medical Image 医学图像边缘对比度增强的动态可逆数据隐藏

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046473

Xiyuan Jiang, Zihan Tang, Bo Ou, Jianqin Xiong

{"title":"Dynamic Reversible Data Hiding for Edge Contrast Enhancement of Medical Image","authors":"Xiyuan Jiang, Zihan Tang, Bo Ou, Jianqin Xiong","doi":"10.1109/ICARCE55724.2022.10046473","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046473","url":null,"abstract":"Reversible data hiding (RDH) for medical image contrast enhancement is designed to effectively improve the quality of medical images to help doctors make correct diagnosis, while addressing issues of privacy protection and image content integrity. In this paper, we propose a new RDH method for medical image contrast enhancement. To enhance the edge contour of medical image, we employ the superpixel segmentation to identify region of interest (ROI), and then improve the region contrast to facilitate the diagnosis. A new histogram modification is proposed to achieve a local histogram equalization effect. Two adjacent bins with the largest difference in number are selected for expansion, in order to spread the histogram evenly as much as possible. In addition, the histogram modification is adaptive to the expansion bins by using the multiple modification manner, and can spread out the highly populated bins more evenly. Experimental results verify that, compared with the existing typical methods, the proposed method can better improve the medical image quality after data embedding in terms of contrast.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115051016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Implementation of Wireless Motion Sensor Node System 无线运动传感器节点系统的设计与实现

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046588

Gang-song Dong, C. Li

{"title":"Design and Implementation of Wireless Motion Sensor Node System","authors":"Gang-song Dong, C. Li","doi":"10.1109/ICARCE55724.2022.10046588","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046588","url":null,"abstract":"Smart wearable devices have emerged in response to the situation, providing a new method for people's health monitoring. Three kinds of intelligent sensors have been selected to adopt the modular optimization design idea, and the wireless motion sensor node system and data display interface have been designed, which can collect and record heart rate, body temperature, movement steps and other information in real time and effectively. Based on ADS1292 analog front-end chip design ECG detection circuit, through the difference threshold method to improve detection accuracy, complete real-time collection and recording of user's heart rate, achieve dynamic ECG test and display, analysis and calculation of user's heart rate, the error is not more than 5%. Push-pull LMT70 temperature sensor is used to measure the body temperature, which increases the carrying capacity and keeps the sampling rate no less than 10 times/min. Three high-resolution ADXL355 acceleration sensors are added, and the interval sampling method is adopted to calculate the number of moving steps and moving distance, and the error is kept less than 5%. At the same time, the wireless motion sensor node has the function of surfing the Internet and transmitting data to the server to complete the data operation. After debugging and analysis for many times, the system has reached the design requirements, and has the advantages of low cost, high precision, easy to use and low power consumption.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129906165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0