{"title":"Campus Behavior Analyses of College Students Based on Large-scale Data","authors":"Benyou Wang, Sihai Zhang, Xia Peng, Zhongyi Zhang","doi":"10.1109/ICPECA51329.2021.9362568","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362568","url":null,"abstract":"This essay analyzes the life and learning of some undergraduate students in a college who entered the college in 2015 and graduated in 2019, based on the data collected from the campus smart card system, the education management system, and the library management system. Campus smart cards are widely used in universities, recording a lot of information of the students. On the basis of the overall consumption of campus students, this essay makes detailed analyses of the changing tendency and the reasons involved. From the aspect of consuming information, most of consumption has been found in the canteen. The analysis on the proportion of consuming times is made according to the consumption habits of college students in their three meals in the canteen, followed by the one done on the supermarket consumption, internet fee, electricity and water consumption. Additionally, an analysis is on the differences between boys’ and girls’ consumption. Another analysis is made on the students’ library borrowing loan and proportion with the help of library management system. The educational management system is related to the analyses made from the distribution of students’ performance. Finally, according to all consumption, the account of borrowing books and weighted score are found to be correlated to each other. Therefore, we can not only understand the student’s behavior characteristics and daily life, but also promote the college logistics service quality, even provide strong evidence for the decision of school management.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129848149","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":"Patent-Based Predictive EPS on Increasing Investment Performance of China Stock Market","authors":"Zhaohui Li, Guangyun Deng, Hui-Chung Che","doi":"10.1109/ICPECA51329.2021.9362701","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362701","url":null,"abstract":"The prediction ability of patent indicators to earnings-per-share ratio (EPS) of 2,197 China A-shares (listed companies) in Shanghai stock exchange and Shenzhen stock exchange are discussed. The patent leading indicators and patent prediction equations for predicting future EPS were successfully constructed via Granger Causality test and time series regression. We found the stock portfolios selected by the patent-based higher predictive EPS had better performance than the market trend and the traditional higher EPS investment strategy. Especially, the higher predictive EPS growth rate worked well on GE Board though this stock board declined seriously.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133089895","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}
Yueli Feng, Yuetian Liu, Z. Ding, Jian Chen, Xiao-fei Mao
{"title":"Study on deformation characteristics of fractures in different directions with constant volume boundary conditions","authors":"Yueli Feng, Yuetian Liu, Z. Ding, Jian Chen, Xiao-fei Mao","doi":"10.1109/ICPECA51329.2021.9362645","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362645","url":null,"abstract":"With different boundary conditions, the stress sensitivity change law of the reservoir is significantly different. This thesis qualitatively researches and describes the relationship among parameters such as fracture aperture, fracture permeability, boundary stress and pore fluid pressure based on physical simulation experiments. In order to apply it to actual oil reservoirs, a fracture dynamic deformation calculation model was established to quantitatively analyze the fracture directional pressure sensitivity effect in actual oil reservoirs. Finally, the physical simulation experiment test results are compared with the theoretical model calculation results, the two results are consistent, indicating the research results are reliable. The pressure-sensitive analytical model proposed by the research is used to analyze the pressure-sensitive characteristics of fractures at different angles, the characteristics of permeability tensor and their influence on the seepage law. The experimental results show: under the same pressure condition of the constant volume boundary, the flow rate of the fracture model decreases with the increase of the fracture angle, and the fracture aperture change rate first increases and then decreases with increase of the fracture angle, the 45° fracture system is the largest; the larger the fracture distance is, the smaller the total aperture in per unit area and corresponding fracture permeability; fracture aperture and permeability decrease with increase of elastic modulus of matrix system; the effective stress coefficient larger, the aperture and permeability of fracture smaller after deformation.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413924","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":"Strategy-driven dynamic optimal dispatch for microgrids under TOU tariffs","authors":"Yiwei Ma, Yuyang Chen, Mingjie Liu","doi":"10.1109/ICPECA51329.2021.9362624","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362624","url":null,"abstract":"The optimal dispatch problem is a big challenge to hybrid energy microgrids with islanded and grid-connected operations, particularly considering demand response. This paper presents a novel strategy-driven dynamic optimal dispatch method for microgrids under TOU tariffs. The combined dispatch strategy is firstly formulated considering two aspects of economy and stability in the operation of microgrid, and then optimized by a given dispatch excitation mechanism to attain the minimum total operation cost objective for microgrid. The effectiveness of the proposed method is verified in a real system of Mengdong microgrid, China, and the results shows a remarkable economic dispatch improvement of the proposed method, compared to the previous dynamic dispatch method.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114850573","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":"Overview of typical application energy efficiency optimization in high-performance data centers","authors":"Weidong Wu, Haiyang Chen, Kuanhong Li, Jun Yu","doi":"10.1109/ICPECA51329.2021.9362524","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362524","url":null,"abstract":"The rapid growth of data has brought huge challenges to the storage and computing capabilities of the cloud computing data center, which is accompanied by huge energy consumption. Hadoop, as the main framework of big data storage and calculation in the current cloud computing data center, has not been optimized for energy efficiency. This paper studies the key technologies of energy efficiency optimization of Hadoop framework components in the data center, including the latest research results of YARN energysaving scheduling strategies and distributed file system (HDFS) energy-saving storage strategies.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116294701","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":"Security Protection Technology of Electrical Power System Based on Edge Computing","authors":"Tengyue Zhang, Liang Chen, Wen Han, Haojie Lin, Aidong Xu, Zhiyu Zhou, Zhiwei Chen, Yixin Jiang, Yunan Zhang","doi":"10.1109/ICPECA51329.2021.9362710","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362710","url":null,"abstract":"In this paper, we mainly introduce the security protection technology of smart grid based on edge computing and propose an edge computing security protection architecture based on multi-service flexible mechanism. Aiming at the real time requirements of heterogeneous energy terminal access and power edge computing business in multiple interactive environment, a real-time and strong compatibility terminal security access mechanism integrating physical characteristics and lightweight cryptographic mechanism is proposed. According to different power terminal security data requirements, the edge computing data transmission, processing security and privacy protection technology are proposed. In addition, in the power system of distribution, microgrid and advanced metering system, the application of edge computing has been well reflected. Combined with encryption technology, access authentication, the security defense of edge data, edge equipment and edge application is carried out in many aspects, which strengthens the security and reliability of business penetration and information sharing at the edge of power grid, and realizes the end-to-end and end-to-system security prevention and control of power grid edge computing.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131874452","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":"Study on the Limited Space Detection Method Based on Ultrasonic Diffraction Time Difference Method","authors":"Zhao Jifeng, Shi-bao Peng, Li Wei","doi":"10.1109/ICPECA51329.2021.9362614","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362614","url":null,"abstract":"ultrasonic diffraction time difference method is a new and efficient ultrasonic detection technology, which is widely used and has obvious advantages. In this paper, the basic principle, detection method, advantages and limitations of ultrasonic diffraction time difference method are analyzed, which provides a theoretical basis for the research and application of ultrasonic diffraction time difference method.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128302902","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}
Jing Yang, Jun Hu, Tianzi Zhang, Qiyun Zhang, Wen Wu
{"title":"A Three-Mode OAM Antenna with a Butler Matrix Feeding Network","authors":"Jing Yang, Jun Hu, Tianzi Zhang, Qiyun Zhang, Wen Wu","doi":"10.1109/ICPECA51329.2021.9362674","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362674","url":null,"abstract":"A $2times2$ uniform circular array (UCA) consisting of four patches fed by a Butler matrix is proposed for simultaneously generating three OAM modes. Compared with other patched UCAs with feeding networks on the top layer, individual elements of the proposed structure are fed by a matrix on the backside. The feeding network designed on the lower layer is comprised of five 90° hybrid couplers, one cross couplers, and two 30° phase shifters. Both results of the simulation and the measurement illustrate that the proposed antenna can generate three OAM modes, which works at 7.5GHz and whose bandwidth of return loss below -10dB is 10.7%.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133348665","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}
Jian Sun, Dezhi Zhao, Lei Wang, Xiaoyu Chen, Mingli Yi, Lin Xia
{"title":"Remote supervision relation extraction method of power safety regulations knowledge graph based on ResPCNN-ATT","authors":"Jian Sun, Dezhi Zhao, Lei Wang, Xiaoyu Chen, Mingli Yi, Lin Xia","doi":"10.1109/ICPECA51329.2021.9362720","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362720","url":null,"abstract":"In the field of electric power, there is a scarcity of data related to the entity relationship of power safety regulations, and the types of entity relationships in the text data of power safety regulations are too complicated, and the task of extracting the relationships between power safety entities is relatively complex. In response to the above problems, this paper proposes a remote supervision relationship extraction method based on deep residual learning (Res) combined with multi-level attention mechanism. Firstly, according to the word vector and word position vector as input, the PCNN model is used to extract the semantic features of the text, and the deep residual is used to learn less the influence of noise data to better extract the deep semantic features of the power safety text sentence. Secondly, the multi-level attention mechanism is used to calculate the correlation between the corresponding entity and the context word, so as to assign different weights to different entity features and reduce the weight of noise data. Finally, through the attention mechanism of the relationship layer, it automatically learns the dependency and inclusion relationships between different relationships, and uses the softmax function to predict entity relationships. The analysis of simulation examples proves the effectiveness of the method in this paper.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116586392","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 cloud platform architecture of flight big data","authors":"Fengqin Wang, Tingxue Xu, Shigai Li","doi":"10.1109/ICPECA51329.2021.9362529","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362529","url":null,"abstract":"Based on the flight big data environment, the existing problems of current flight training management are analyzed. This paper designs the cloud platform architecture based on flight big data, and points out the key technology research that should be carried out under this architecture. With the help of this cloud platform, flight big data can be effectively analyzed and processed to provide decision support for flight training management, flight safety assessment and risk early warning.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124981694","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}