2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)最新文献_第4页

Aircraft Target Detection in Satellite Remote Sensing Images Based on Improved YOLOv5 基于改进YOLOv5的卫星遥感图像飞机目标检测

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970631

Zhiguo Liu, Yuan Gao, Lin Wang, Qianqian Du

{"title":"Aircraft Target Detection in Satellite Remote Sensing Images Based on Improved YOLOv5","authors":"Zhiguo Liu, Yuan Gao, Lin Wang, Qianqian Du","doi":"10.1109/ICCSI55536.2022.9970631","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970631","url":null,"abstract":"Compared with natural images, remote sensing targets have small and dense target shape and complex background, resulting in low detection accuracy and inaccurate identification of target positions. To better extract the features and locations of aircraft targets, this paper proposes a YOLOv5-absorbed algorithm based on the YOLOv5 algorithm. The YOLOv5-absorbed algorithm removes the low-resolution feature layers of the Backbone and the Neck and prunes the prediction head to reduce the loss of position information. At the same time, a new up-sampling module is added to enlarge the feature map in the PAN (Path Aggregation Network) and improve the detection accuracy of aircraft targets in remote sensing images. On this basis, the Coordinate Attention mechanism is introduced to make the network pay attention to a larger area, and DIOU NMS (Distance IoU Non-Maximum Suppression) is introduced to improve the detection accuracy of dense targets. The experimental results of the test data set show that compared with the YOLOv5 algorithm, the YOLOv5-absorbed algorithm has a faster convergence speed and smaller loss, mAP (mean Average Precision) increased from 89.6% to 95.3% and the number of parameters decreased from 92.216M to 36.046M.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121837056","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

Static Stress Identification Using Electromechanical Impedance of Piezoelectric Plates 基于压电板机电阻抗的静应力识别

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970606

Xianfeng Wang

引用次数: 0

Applications of Reinforcement Learning in Frequency Regulation Control of New Power Systems 强化学习在新型电力系统调频控制中的应用

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970560

Tao Zhou, Yalun Wang, Yan Xu, Qianyuan Wang, Zhengguang Zhu

引用次数: 0

GANSet - Generating annnotated datasets using Generative Adversarial Networks 使用生成式对抗网络生成注释数据集

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970561

Hajar Hammouch, S. Mohapatra, M. El-Yacoubi, Huafeng Qin, H. Berbia, Patrick Mäder, Mohamed Chikhaoui

{"title":"GANSet - Generating annnotated datasets using Generative Adversarial Networks","authors":"Hajar Hammouch, S. Mohapatra, M. El-Yacoubi, Huafeng Qin, H. Berbia, Patrick Mäder, Mohamed Chikhaoui","doi":"10.1109/ICCSI55536.2022.9970561","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970561","url":null,"abstract":"The prediction of soil moisture for automated irrigation applications is a major challenge, as it is affected by various environmental parameters. The Application of Convolutional Neural Networks (CNN), to this end, has shown remarkable results for soil moisture prediction. These models, however, typically need large datasets, which are scarce in the agriculture field. To this end, this paper presents a Deep Convolutional Generative Adversarial Network (DCGAN) that can learn good data representations and generate highly realistic samples. Traditionally, Generative Adversarial Networks (GANs) have been used for generating data for segmentation and classification tasks or used in conjunction with CNNs or Multi Layer Perceptrons (MLPs) for regression tasks. In this paper, we propose a novel approach in which GANs are used to generate conjointly training images for plants as well as realistic regression values for their corresponding moisture levels without the use of any additional network. The generated images and regression vector targets, together with the training data, are then used to train a CNN which is then evaluated with actual test data from the dataset. We observe an improvement of error rate by 33 percent which shows the validity of our approach.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129398361","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 Low-Cost Inertial Sensor-Based Human Motion Capture System 基于惯性传感器的低成本人体运动捕捉系统的设计与实现

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970563

Qianen He, Zhiyong Zheng, Xiangyu Zhu, Huisheng Zhang, Yujie Su, Xiuying Xu

{"title":"Design and Implementation of Low-Cost Inertial Sensor-Based Human Motion Capture System","authors":"Qianen He, Zhiyong Zheng, Xiangyu Zhu, Huisheng Zhang, Yujie Su, Xiuying Xu","doi":"10.1109/ICCSI55536.2022.9970563","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970563","url":null,"abstract":"Motion capture system can transform motion information of human body into digital data for analysis and processing in computer or cyberspace. It is an important medium to connect physical space and cyberspace. Aiming at the problems of high cost and high power consumption of existing inertial motion capture systems, this paper proposes a wearable wireless motion capture system based on nine-axis inertial sensor and Bluetooth Low Energy technology. The system can capture the motion trajectory of human body and realize real-time human motion display and data storage in computer. An explicit complementary filtering algorithm based on proportional integral model is used in the process of character motion update. Motion capture experiments are carried out on a human body and results show that the system has sound dynamic performance with the error less than 2 degrees and can achieve efficient human motion capture. The sampling frequency of the system reaches 125Hz and the working time is up to 10 hours. The system can serve as the basis for developing affordable human motion capture solutions that require long-term testing without precise kinematic analysis.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129565086","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: 1

Estimation of Acoustic Power in Work-Recovery Pulse Tube Cooler Based on Machine Learning 基于机器学习的工作恢复脉冲管冷却器声功率估计

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970600

W. Deng, Weimin Wu, Jianying Hu

{"title":"Estimation of Acoustic Power in Work-Recovery Pulse Tube Cooler Based on Machine Learning","authors":"W. Deng, Weimin Wu, Jianying Hu","doi":"10.1109/ICCSI55536.2022.9970600","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970600","url":null,"abstract":"The work-recovery pulse tube cooler (WRPTC) has an intrinsic higher efficiency than the orifice or inertance pulse tube coolers at high operating temperature. A novel approach to estimate the acoustic power of a given WRPTC using deep learning (DL) algorithm is developed in this paper. Four typical operating parameters, including working frequency, driving voltage, refrigerating temperature and cooling capacity, are selected as the inputs for the DL model. This model is trained by existing experimental data and to predict the reasonable acoustic power in the future as the operating conditions changes. More than 80% of the total experimental data are adopted to train the DL model, while the rest of those are adopted as testing set for validation of the predicting results. In the end, a mean relative error of 3.5% between the prediction and the experiments is observed for the estimation of the acoustic power in the WRPTC. It is worth mentioning that the DL model could be applicable to estimate acoustic power in different WRPTCs with distinct geometries and varying operating conditions, due to the adaptive ability of machine learning with specific training sets and the internal automatic optimization strategy.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439154","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

GEMCash ― Towards a Diamond Redeemable Stable-Growth Coin GEMCash -迈向钻石可兑换稳定增长硬币

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970661

Eranga Bandara, Dalvo Diamante, Steven Saltzman, R. J. Richards, Sachin Shetty, R. Mukkamala, Xueping Liang, Abdul Rahman

{"title":"GEMCash ― Towards a Diamond Redeemable Stable-Growth Coin","authors":"Eranga Bandara, Dalvo Diamante, Steven Saltzman, R. J. Richards, Sachin Shetty, R. Mukkamala, Xueping Liang, Abdul Rahman","doi":"10.1109/ICCSI55536.2022.9970661","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970661","url":null,"abstract":"Blockchain-based cryptocurrencies have enabled secure and trustless transactions between parties. As a result, they have gained widespread adoption and popularity in recent years. As of December 2021, over 11,000 cryptocurrencies with a total market value exceeding USD 1.5 trillion, were in circulation. However, these traditional cryptocurrencies suffer from several issues i) price volatility, ii) no defined governance, iii) no physical attributes, iv) excess energy consumption to reach consensus v) no commercial use case, vi) no sustainability, vii) no loss protection, viii) no predictable transfer cost ix) no widely recognized value etc. With this research, we are proposing a diamond-redeemable/backed stable coin “GEMCash”. We have introduced physicality to the GEMCash currency with multiple tangible attributes. The GEMX point of sale (P.O.S.) system includes incorporating a novel debit card that can be used as a “cold” wallet. Further, this approach provides a way for users to acquire and spend their GEMCash Coins at local Retailers around the world. The proposed GEMCash currency is built on top of the GEMCash blockchain that is scalable, lightweight, distributed, as well as a permissioned blockchain system. The GEMCash crypto coins are stored as ERC20 tokens on the ledger. The GEMCash blockchain nodes run embedded-in specialized hardware devices. The blockchain supports sharding-based consensus, real-time transactions, and concurrent smart contracts. The control, of the blockchain nodes, is handled by an elected consortium of known parties authorized by GEMNation. With GEMCash, we designed a non-volatile, asset-backed, loss-protected, and environmentally friendly cryptocurrency that has real-world usage.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127947613","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

Damping Torque Analysis of the PLL Low-Frequency Components for Grid Following VSG VSG后电网锁相环低频元件阻尼力矩分析

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970617

Yichen Zhou, Sha Li, Jiahui Sun

{"title":"Damping Torque Analysis of the PLL Low-Frequency Components for Grid Following VSG","authors":"Yichen Zhou, Sha Li, Jiahui Sun","doi":"10.1109/ICCSI55536.2022.9970617","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970617","url":null,"abstract":"Phase-locked loop (PLL) is the key tool for the grid-connected inverter to track the frequency and phase of the grid voltage when synchronizing with the power grid. Therefore, the stability of PLL is particularly important. This paper proposes a damping torque analysis method to study the stability of the low-frequency component of PLL for the grid following a virtual synchronous generator (VSG). Firstly, the small signal model is established for the grid following VSG with a dual-loop structure. Secondly, the damping torque analysis method is provided especially for the stability analysis of PLL low-frequency components. And the corresponding stability criterion is constructed. Finally, significant factors that affect the stability of PLL low-frequency components are studied by the test system and the corresponding mechanism is revealed, including the influence of line reactance, PLL control parameters, and virtual damping. Results show that the stability of PLL is greatly dominated by the low-frequency component, whose stability can be improved by adopting a smaller integral coefficient of PLL, smaller virtual inertia, and larger virtual damping D.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127342663","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

Pipe environment elbow features extracting based on 2D Point Cloud 基于二维点云的管道环境弯头特征提取

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970649

Yu Ding, Yifei Wu, Yinrui Ma

{"title":"Pipe environment elbow features extracting based on 2D Point Cloud","authors":"Yu Ding, Yifei Wu, Yinrui Ma","doi":"10.1109/ICCSI55536.2022.9970649","DOIUrl":"https://doi.org/10.1109/ICCSI55536.2022.9970649","url":null,"abstract":"For autonomous pipeline robot applications, extracting the features in the pipeline environment such as the 90-degree elbow can greatly reduce the error of the pipeline robot odometer and improve the accuracy of the real-time positioning for autonomous pipeline robot. At present, iterative calculations are used in most of the features extracting methods such as least squares method, but with the huge amount of point cloud data, the computational complexity of these methods is high, and the amount of computation limits the application on embedded robots. For this problem, a network framework For the pipe environment is proposed in this article, which is only for point cloud data input. Based on You Only Look Once v4-tiny(YOLOv4-tiny), a rapid 2D standard detection network framework for images expanding, the discrete 2D point cloud data in the form of bird's eye view is encoded in low-resolution as the input of the net and point of interest (POI) is detected and segmented for the extraction of the elbow features and the accurate estimation of the real-time positioning for the pipeline robot. Our experiments in narrow pipe environment show that compared with the current point cloud feature extraction methods, the proposed method is faster and more accurate.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133563303","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

An Investigation on Multi-UAVs Cooperative Control Algorithm for Target Chasing 多无人机目标跟踪协同控制算法研究

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI) Pub Date : 2022-11-18 DOI: 10.1109/ICCSI55536.2022.9970622

Haopeng Li, Guoqing Qi, Zhifeng Jin, Yinya Li, A. Sheng

引用次数: 0