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2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)最新文献

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State Assessment of Rolling Bearings Based on the Multiscale Bubble Entropy 基于多尺度气泡熵的滚动轴承状态评估
2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI: 10.1109/ECIE52353.2021.00045
Jinbao Zhang, Cheng Wang, Peng Gui, Min Wang, Tiangang Zou
{"title":"State Assessment of Rolling Bearings Based on the Multiscale Bubble Entropy","authors":"Jinbao Zhang, Cheng Wang, Peng Gui, Min Wang, Tiangang Zou","doi":"10.1109/ECIE52353.2021.00045","DOIUrl":"https://doi.org/10.1109/ECIE52353.2021.00045","url":null,"abstract":"An improved bubble entropy called multiscale bubble entropy (MBE) is proposed based on the multiscale processing, and then the application of MBE in bearing state assessment is investigated. Firstly, the MBE features are extracted from the collected vibration signals of the bearing with the whole life, and then dimension reduction is performed with principal component analysis (PCA). Secondly, a performance degradation indicator (PDI) based on the first smoothed principal component is constructed to represent the bearing condition monitoring. In the following, the fault type of bearings is identified with the principal components of features from different fault types and support vector machine with directed acyclic graph (DAG-SVM). Two groups of experimental data are investigated to illustrate the availability of the proposed feature in bearing condition monitoring and fault diagnosis. The results show that the trend of PDI has good monotonicity to represent the condition monitoring of the bearing, while the accuracy of fault classification is high and stable.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995706","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: 2
Antenna tilt optimization scheme of UAV base station in multi-cell millimeter wave communication system 多小区毫米波通信系统中无人机基站天线倾斜优化方案
2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI: 10.1109/ECIE52353.2021.00049
Nini Wan, Xiangdong Jia, Yaping Lv, Letian Jing
{"title":"Antenna tilt optimization scheme of UAV base station in multi-cell millimeter wave communication system","authors":"Nini Wan, Xiangdong Jia, Yaping Lv, Letian Jing","doi":"10.1109/ECIE52353.2021.00049","DOIUrl":"https://doi.org/10.1109/ECIE52353.2021.00049","url":null,"abstract":"Unmanned aerial vehicle (UAV) has the advantages of high mobility and flexibility, so it can provide broadband wireless connection in disaster areas and hot spots as air base station (BS). Millimeter wave (mm-Wave) can provide large bandwidth for UAV to achieve high data rate. For UAV mm-Wave multi-cell communication system, an antenna tilt optimization scheme for UAV-BS was proposed, which optimized the antenna array tilt angle of UAV-BS to improve the system throughput. The limit of throughput was derived when the number of UAV-BS antennas tends to infinity in this scheme, and then the relationship between tilt angle and throughput was analyzed by exhaustive search algorithm. Simulation results show that the proposed optimization scheme can improve the throughput system performance effectively.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"47 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948940","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 A Mixed Neural Network Based on CNN and RNN for Computational Model of Sensory Cortex 基于CNN和RNN的混合神经网络对感觉皮层计算模型的分析
2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI: 10.1109/ECIE52353.2021.00059
Haoyue Yan, Chenwei Wu
{"title":"Analysis of A Mixed Neural Network Based on CNN and RNN for Computational Model of Sensory Cortex","authors":"Haoyue Yan, Chenwei Wu","doi":"10.1109/ECIE52353.2021.00059","DOIUrl":"https://doi.org/10.1109/ECIE52353.2021.00059","url":null,"abstract":"Under the limitation of modern science, Anatomy is not able to discover the extremely complicated organ - brain’s working activities. Along with the development of machine learning and its subset - neural network, named by nearly implementing neurons’ connection, scientists found an efficient way to represent brain as a visible approach. Therefore, a new discipline has been created under biology, named as computational neuroscience. Most scientists focus on finding computational models that are closed to fit the specific or general areas of the cortex. Convolutional neural network (CNN) and Recurrent neural network (RNN) are two of them. By taking advantages of those two most popular networks, in this study, a mixed computational model with CNN and RNN might be the best computational model for analogizing brain’s activities so far.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117120707","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
Research on Compressed Sensing Algorithm Based on C-RAN Forward Link 基于C-RAN前向链路的压缩感知算法研究
2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI: 10.1109/ECIE52353.2021.00068
Jiarui Li, Hongxian Tian
{"title":"Research on Compressed Sensing Algorithm Based on C-RAN Forward Link","authors":"Jiarui Li, Hongxian Tian","doi":"10.1109/ECIE52353.2021.00068","DOIUrl":"https://doi.org/10.1109/ECIE52353.2021.00068","url":null,"abstract":"With the rapid development of mobile communication technology, wireless services and application scenarios are evolving toward diversification and intelligence. Large bandwidth, low latency, and massive connections are urgent needs for future network development, and traditional communication network architectures can no longer adapt. With the development of contemporary communication networks, the network architecture of C-RAN (Centralized, Cooperative, Cloud Radio Access Network) can concentrate base station processing resources, dynamically allocate transmitted signals, and have high spectrum utilization. In signal transmission, it also has the advantages of high efficiency, flexible scheduling and energy saving. However, the limited capacity of the fronthaul link under the C-RAN architecture makes signal compression and decompression especially important. This paper proposes an efficient and stable compressed sensing algorithm-a new stepwise orthogonal matching pursuit algorithm (NStOMP algorithm). First, the algorithm does not depend on the number of atoms selected in each iteration, S, and achieves stable compressed signal transmission. Secondly, it combines the idea of backtracking to filter the wrongly selected atoms in the first screening, and performs the second screening of atoms to reconstruct and restore the signal with a higher probability. This paper compares the proposed NStOMP algorithm with the improved StOMP algorithm and other common CS algorithms. The simulation results verify the stability of the proposed algorithm and its advantages compared with the reconstruction effect of common signal compression algorithms. It has better application value in the actual fronthaul network architecture.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130468042","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 of communication power centralized remote monitoring system based on big data technology 基于大数据技术的通信电力集中远程监控系统设计
2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI: 10.1109/ECIE52353.2021.00017
Lixia Zhang, Yang Li, Bijie Qiu, Jianliang Zhang, Weiwei Liang
{"title":"Design of communication power centralized remote monitoring system based on big data technology","authors":"Lixia Zhang, Yang Li, Bijie Qiu, Jianliang Zhang, Weiwei Liang","doi":"10.1109/ECIE52353.2021.00017","DOIUrl":"https://doi.org/10.1109/ECIE52353.2021.00017","url":null,"abstract":"The communication power supply is an important basis for each hardware to realize the basic functions. Therefore, a centralized remote monitoring system is proposed to master the working state of the communication power supply in real time. However, due to the poor communication effect of system software under the traditional design, the ability of centralized remote monitoring system to track abnormal data is poor, so the centralized remote monitoring system of communication power supply is designed based on big data technology. In terms of hardware, the watchdog circuit is set, and the battery access interface circuit, communication interface circuit and voltage conversion circuit are designed. In terms of software, intelligent monitoring program is designed; remote centralized monitoring target is tracked based on big data technology; monitoring unit software is optimized. Experimental results: compared with the traditional design of remote monitoring system, in 20 times of abnormal node monitoring of communication power supply, the design system obtained all abnormal nodes, while the traditional system only got all abnormal nodes three times. It can be seen that the process monitoring system based on big data technology has better performance.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129774873","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
Research on enterprise level cross domain integrated data inventory method based on DMAIC model 基于DMAIC模型的企业级跨领域集成数据盘点方法研究
2021 International Conference on Electronics, Circuits and Information Engineering (ECIE) Pub Date : 2021-01-01 DOI: 10.1109/ECIE52353.2021.00066
Ran Ran, Jun Qi, Qiang Gao, Yubo Liu, Liang Bai, Xiaoqiang Liu
{"title":"Research on enterprise level cross domain integrated data inventory method based on DMAIC model","authors":"Ran Ran, Jun Qi, Qiang Gao, Yubo Liu, Liang Bai, Xiaoqiang Liu","doi":"10.1109/ECIE52353.2021.00066","DOIUrl":"https://doi.org/10.1109/ECIE52353.2021.00066","url":null,"abstract":"When traditional inventory methods sort out the data, the data format is not standardized, which leads to the long query time of inventory data. To solve this problem, this paper proposes an enterprise level cross domain integrated database storage method based on DMAIC model. Through the collection of cross domain integrated data for filtering and integration, the data are transferred to the central database in turn, and the data warehouse is established. The core data in the collected data is identified by using DMAIC model, and the core data is summarized into the inventory range. Then, the relevant data with high similarity are matched, and labels and data catalog are made to provide support for data positioning and query. The results show that compared with the traditional method, the query time of inventory data is shortened by 0.57s.","PeriodicalId":219763,"journal":{"name":"2021 International Conference on Electronics, Circuits and Information Engineering (ECIE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693166","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
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