2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)最新文献

{"title":"Research of Drilling Simulation System Based on Unity 3D","authors":"Kuisheng Wang, Peng Li, Yuhao Liu","doi":"10.1109/ICPECA53709.2022.9718992","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9718992","url":null,"abstract":"Taking the oil drilling well site as the model, analyze the drilling movement process, and realize the dynamic simulation of the oil drilling process. We establish the 3D model of the oil derrick and import it into Unity 3D software. With the help of the animation system and physics engine of the software, carry out the dynamic simulation and interaction design of the oil well site equipment movement and realize the movement control of the equipment model in the virtual scene such as ascending, descending and rotating motion. The drilling string lifting experiment results show that the designed drilling engineering simulation system has great three-dimensional, interactive and realistic characteristics, which lays a foundation for the establishment of the virtual drilling simulation training system platform.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526972","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}

{"title":"Analysis of Trellis Code Modulation Technology in Satellite High Speed Data Transmission System","authors":"Fang Yuan, Xiaoran Li, Nan Ye, Yifeng He","doi":"10.1109/ICPECA53709.2022.9719220","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719220","url":null,"abstract":"Satellite remote sensing systems are now widely used in military and civilian fields, and are developing rapidly. However, because the remote sensing receiver of the ground satellite often requires a lot of time and energy to debug the satellite in orbit during the development process, it is also very important to study the satellite image transmission system composed of the ground receiver and the supporting simulator. In this paper, the grid code modulation technology in the satellite high-speed data transmission system is researched. Based on the literature, the satellite high-speed data transmission system and the related theory of the grid code modulation technology are understood, and then the satellite high-speed data transmission system is designed. Finally, the trellis coding modulation technology in the system is tested. The test results show that when the bit error rate is 0.3, the new concatenated code in this paper has a coding gain of 2dB than the ordinary convolutional code, and the NASA proposed NASA Compared with the code, there is also a coding gain of 1dB.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704948","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}

{"title":"Machine Learning-based Modeling and Uncertainty Quantification for Radar Cross Section of a Cone-like Target","authors":"Dan Guo, Jia Zhai, Xiaodan Xie, Hongcheng Yin, Yong Zhu","doi":"10.1109/ICPECA53709.2022.9719295","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719295","url":null,"abstract":"Radar cross section (RCS) plays an important role in the recognition of targets. RCS varies dramatically with the incident angle and the size of targets, and it is difficult to accurately predict the RCS values. In this paper, an efficient modeling and uncertainty quantification method based on the support vector machine and the k-nearest neighbor is proposed for the RCS prediction of cone-like targets. The proposed method is compared with two uncertainty quantification methods, an ensemble based on lower upper bound estimation and a neural network with dropout. The root mean square error, the prediction interval coverage probability, the mean prediction interval width and the computation time are used as the performance metrics, and the experimental results demonstrate that the proposed method is superior to the compared methods in accuracy and efficiency.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123358356","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}

{"title":"A Study of Environmental Protection Planning Method and Environmental Risk Assessment of Regional Power Grid","authors":"Chengjun Li, Chong Guo, Hongquan Zhang, Jing Wu, Xiang Li, Songyu Wu, Xiaoyan Qi","doi":"10.1109/ICPECA53709.2022.9719062","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719062","url":null,"abstract":"With the rapid development of national economy and continuous enhancement of people's living standards, the subject concerning environmental protection has become more and more important. In recent years, there has been a contradiction in how to make good use of resource while protecting environment, and that has become an important problem constraining economic growth. Therefore, as the premise of economic development, environmental protection is the basic requirement in adjustment of economic structure and development way for the country. The construction of power grid has provided a strong guarantee and made great contributions to the steady development of social economy and the improvement of people's living standards, however, some problems concerning environment have also been caused in this process. Based on the analysis of background and meaning of power grid environmental protection planning, the research content is determined. According to the identification of key environmental influencing factors in power grid planning, this paper makes analysis of environmental protection planning method of regional power grid, as well as makes a study of indicator system of environmental risk assessment, raising an environmental risk assessment method of regional power grid based on P-S-R framework indicator system. This method is to overlap environmental sensitive areas based on data, present the environmental impact of power grid planning on cities in a vivid way, and correct some errors in the traditional assessment method. Based on a full analysis of regional environmental protection data, the environmental risk prediction value is obtained. The environmental risk assessment of regional power grid is carried out with examples. From the results, this method can guide the engineering application of regional power grid environmental protection planning in an overall objective and scientific way, as well as provide a theoretical reference for the research of environmental risk assessment.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126403701","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}

{"title":"Recognition method of drilling conditions based on support vector machine","authors":"Kuisheng Wang, Yuhao Liu, Peng Li","doi":"10.1109/ICPECA53709.2022.9718844","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9718844","url":null,"abstract":"With the proposal of oilfield digital transformation and intelligent development, intelligent analysis technology has become an important means to solve the problem of oil and gas research and generation. Aiming at the problem of working condition identification in the process of drilling, based on the monitoring data collected in the process of drilling, a drilling condition identification method based on support vector machine is proposed in this paper. The grid search algorithm is used to optimize the support vector machine, and then combined with 10000 measured data on the drilling site to compare and verify the recognition accuracy. The results show that the recognition rate of drilling conditions based on the optimized the support vector machine is more than 95%, which shows that this method can recognize drilling conditions, improve drilling efficiency to a certain extent, and meet the requirements of efficient utilization of oilfield data resources.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116135577","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}

{"title":"An intelligent tension sensor for high speed railway catenary monitoring","authors":"Zhao Hu, Shen Jianwu, Zhang Yizhou, Wu Xiaoyu, Zhang Xuewu, Nie Jingxin, Zhang Lei, Wang Songli, Wang Zhiyi, Xiao Weimin","doi":"10.1109/ICPECA53709.2022.9718891","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9718891","url":null,"abstract":"High speed railway catenary is an important infrastructure of high-speed railway, and its safety is related to the passenger life and property safety. This paper proposed a tension sensor that can be used for on-line monitoring of high-speed railway catenary. The sensor uses solar cells to supply power and sends the measured tension data to the terminal for monitoring by wireless module. The results show that, The measuring range of our tension sensor is 30kN, and the measurement accuracy can reach 2.1% F.S.. Also, our tension sensor has passed the lateral slip test of 3kN, which is a necessary experiment for the installation of high-speed rail lines.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115308382","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}

{"title":"Intelligent transportation big data retrieval algorithm based on blockchain and aggregation signature","authors":"Jingyuan Li, Ke Zhang","doi":"10.1109/ICPECA53709.2022.9719321","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719321","url":null,"abstract":"In view of the low retrieval efficiency of data ciphertext and the insecurity of centralized database in the current intelligent transportation big data system, this paper introduces the blockchain technology into the intelligent transportation big data system, and each information collection department stores it in the blockchain after normalization according to the data standard. According to the unmodifiability and traceability of the blockchain, the trustworthiness and transparency of the data in the system can be guaranteed, The system is better than the current mainstream scheme in data sharing. In this paper, an efficient ciphertext retrieval algorithm scheme for data in intelligent transportation big data system based on blockchain technology is proposed. Based on the theories of bilinear yangshe and difficulty hypothesis theory in cryptography, the problem of low efficiency of multi keyword and multi ciphertext retrieval in large database on traditional platform is solved, This paper uses the aggregation signature algorithm to improve the ciphertext retrieval efficiency in the big data system. For multiple keyword retrieval conditions, an aggregation key is generated by the aggregation signature key algorithm, and the aggregation trap is generated with the aggregation key, retrieval keyword and retrieval file set as inputs for ciphertext retrieval, The final result of the retrieval is based on the smart contract technology of the blockchain to verify the effectiveness of the data and ensure the integrity of the data. In Chapter 4, the security and performance of the efficient aggregation signature retrieval algorithm are analyzed. The results show that the key generated by the aggregation signature is safe and reliable, the aggregation trap used in ciphertext retrieval is irreversibly regenerated, and the algorithm is verified to be trusted in terms of security. The simulation results show that the algorithm is better than other literature algorithms in terms of time overhead, effectively reduces the system overhead and improves the retrieval efficiency of the algorithm.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123791780","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}

{"title":"A Monopulse Radar Anti-jamming Method Based on Labeled GM-PHD","authors":"Lei Qiu, Jun Yang, Yize Fan","doi":"10.1109/ICPECA53709.2022.9719167","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719167","url":null,"abstract":"Monopulse tracking radar can achieve high tracking and measurement precision and is widely used in space exploration, target measurement and weapon control areas. The anti-jamming of monopulse radar is an important issue. When jamming is treated as one or more false targets, radar anti-jamming can be regarded as a multiple targets tracking problem. This paper proposed a monopulse radar anti-jamming method based on labeled Gaussian Mixture Probability Hypothesis Density (GM-PHD) filtering. Firstly, random finite set (RFS) theory, GM-PHD filtering and labeled GM-PHD are introduced, then labeled GM-PHD filtering is used to distinguish jammer from the real target by four steps: prediction, update, cut and merge, and state estimation. Finally delay-retransmit jamming simulation was performed to verify the proposed method.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123063996","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}

{"title":"Design and Implementation of RFID-Based Chronometer System","authors":"Yu-jun Guo, Jiren Xu, Weilu Wu, Jiang Yuepei, Dongsheng Wu, Xiaolan Zhao","doi":"10.1109/ICPECA53709.2022.9718995","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9718995","url":null,"abstract":"This paper combines C# programming, RFID technology and database technology to design a set of automatic timing system for middle and long distance running software. The system is composed of many subsystems, such as information management of test students, reading and management of RFID card, automatic timing processing and statistical analysis data. It can realize the identification, reading and automatic timing of the test students who wear RFID card, and upload the timing data to the database to save and export, and get the test results of the students, realizing automation. Compared with manual timing, can save a lot of manpower and material resources; Compared with the general carpet antenna automatic timing, the equipment is simpler and the cost is lower. Moreover, the error of the test results can also be within a required range, which can meet the basic test requirements of middle and long-distance running, and is suitable for military physical fitness testing and training of middle and long-distance running in colleges and universities.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126976301","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}

{"title":"Research on Recognition of Human Motion State Based on Force and Motion Sensor Fusion","authors":"Peng Yin, Liang Yang, Ming Yang","doi":"10.1109/ICPECA53709.2022.9719317","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719317","url":null,"abstract":"The exoskeletons, as the wearable mechanical devices with powerful features of physical enhancement on human performance, has gained more and more attention from scientific researchers in the world. It has become a new research hot spot, and has also begun to be gradually applied to the military industry. An exoskeleton can be a coupling system based on human-computer interaction. In order to achieve human-machine motion coordination and adaptation enhancement, the system must have cognitive intelligence. When the exoskeleton is in use, the system needs to operate fast and accurate enough to predict the human intention and movement (such as: walking, standing, sitting or going up and going down stairs) and determine the gait cycle stage. In addition, it must be robust against small errors within the period simultaneously. Therefore, the recognition of human motion status is one of the core technologies in system design for the exoskeleton. In our research, signals from foot force sensors and Inertial Measurement Unit (IMU) sensors were collected, and Support Vector Machine (SVM) was used to identify the human body motion state through adaptive time window segmentation. After that, experimental tests were conducted to verify the algorithm and recognition accuracy.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127017062","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}