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2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献

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Research on maximum power point tracking based on extremum seeking algorithm 基于极值搜索算法的最大功率点跟踪研究
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085026
Yiming Liu, Jun Wei, X. Zong, Wenyu Yi, Rui Liu
{"title":"Research on maximum power point tracking based on extremum seeking algorithm","authors":"Yiming Liu, Jun Wei, X. Zong, Wenyu Yi, Rui Liu","doi":"10.1109/ITNEC48623.2020.9085026","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085026","url":null,"abstract":"In order to improve the efficiency and accuracy of photovoltaic power generation system, it is necessary to track the maximum power point. Based on the analysis of the traditional maximum power point tracking (MPPT) algorithm, an MPPT algorithm based on extreme value search is proposed in this paper to quickly track the maximum power point and improve the dynamic performance of the system. The simulation model was built in MATLAB/Simulink for verification, and the maximum power point of the photovoltaic power generation system was tracked quickly and accurately, with good dynamic performance.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125584809","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
Verification and Evaluation Method of ILS Safe Operation State Based on ADS-B Data 基于ADS-B数据的ILS安全运行状态验证与评价方法
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084890
Jiaquan Ye, Jing Gao, J. Zou, Qingdong Li, Kaitao Cui
{"title":"Verification and Evaluation Method of ILS Safe Operation State Based on ADS-B Data","authors":"Jiaquan Ye, Jing Gao, J. Zou, Qingdong Li, Kaitao Cui","doi":"10.1109/ITNEC48623.2020.9084890","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084890","url":null,"abstract":"This paper proposes a verification and evaluation method of ILS safe operation state based on ADS-B. Horizontal flight information and vertical flight information can be obtained by analyzing the real-time data of ADS-B when the aircraft is approaching and landing, for verifying the reliability of ILS signals and evaluating ILS equipment operating status by historical data. The purpose of this method is to assist the real-time ILS reliability verification and historical data acquirement and statistical analysis, to determine the fluctuation of the guide signal at a certain moment, to provide a scientific data basis of the real-time monitoring and decision implementation of the flight calibration test.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123324233","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 fault location of low voltage distribution network with small current grounding based on wavelet analysis 基于小波分析的低压配电网小电流接地故障定位研究
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085118
Mei Liang, Hengyu Zhou, Shengle Wang
{"title":"Research on fault location of low voltage distribution network with small current grounding based on wavelet analysis","authors":"Mei Liang, Hengyu Zhou, Shengle Wang","doi":"10.1109/ITNEC48623.2020.9085118","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085118","url":null,"abstract":"Most of the 3-66KV medium voltage distribution networks in China are grounded through arc suppression coil. In order to improve the accuracy of fault location, this paper constructs a fault line selection scheme based on the modulus maximum singularity detection principle of wavelet transform for the characteristics of a large number of high-frequency feature information in the transient process of single-phase grounding fault of small current grounding system. The simulation analysis of typical faults shows that the fault line selection method proposed in this paper can quickly and accurately select fault lines.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123339899","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
LTKW: An Improvement of Extractive Automatic Text Abstract model on Long Chinese Text LTKW:一种改进的中文长文本自动抽取摘要模型
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9085056
Yuwen Li, Yuzhuo Fu, Ting Liu
{"title":"LTKW: An Improvement of Extractive Automatic Text Abstract model on Long Chinese Text","authors":"Yuwen Li, Yuzhuo Fu, Ting Liu","doi":"10.1109/ITNEC48623.2020.9085056","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9085056","url":null,"abstract":"Natural language processing is an important direction of artificial intelligence. Automatic text abstract is an information compression technique that automatically converts a collection of text or text into a short summary according to a certain type of application. However, text summaries have not received much attention in the Chinese language field compared to the hot areas as automatic question and answer, knowledge mapping, sentiment analysis and other natural language processing tasks.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126435460","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
TDC-GP22 high-precision time measurement based on FPGA and linear regression mapping 基于FPGA和线性回归映射的TDC-GP22高精度时间测量
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084762
Jinghao Zuo, Chenhui Luan, Yanmei Zhang
{"title":"TDC-GP22 high-precision time measurement based on FPGA and linear regression mapping","authors":"Jinghao Zuo, Chenhui Luan, Yanmei Zhang","doi":"10.1109/ITNEC48623.2020.9084762","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084762","url":null,"abstract":"In the research of high precision pulse laser ranging system, the accuracy of time measurement determines the accuracy of distance measurement. In order to improve the accuracy of traditional time measurement methods, a complex structure combining multiple methods is often used, and it is difficult to achieve high-precision and low-cost time measurement at the same time. In order to save costs and improve the accuracy of time interval measurement, this paper proposes a linear regression mapping method to reduce the error in the time interval measurement of the TDC-GP22 chip based on FPGA. The real value of the system is as the independent variable. The measured value is as the dependent variable. After fitting the straight line, the measurement result projects onto the straight line of the relationship between the independent variable and the real value. The experimental results show that the time interval measurement of this scheme has high accuracy, the average time measurement error is 0.18ns. Pulse ranging scheme error is 0.054m.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126480030","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
Wireless Channel Simulation Method Based on Feature Measurement And Data Playback 基于特征测量和数据回放的无线信道仿真方法
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084889
Zhang Taotao, Tang Yunge, Rong Hui, Yang Laitao, Li Yingda
{"title":"Wireless Channel Simulation Method Based on Feature Measurement And Data Playback","authors":"Zhang Taotao, Tang Yunge, Rong Hui, Yang Laitao, Li Yingda","doi":"10.1109/ITNEC48623.2020.9084889","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084889","url":null,"abstract":"In this paper, the method of measuring and extracting characteristic parameters of wireless channel is deeply studied, and the model parameters such as the amplitude of main path and multipath parameters are extracted for the simulation system application, which provides the basis for the simulation of wireless channel characteristics. The simulation and playback technology of wireless channel characteristics is studied and validated. By analyzing the action mode of channel impulse response function and parsing file format of channel simulator, the problem of converting channel feature modeling into file format that can be invoked by channel simulator is solved. A simulation and playback method with high confidence is established to realize the invocation of channel feature files in channel simulator.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114232609","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
On Multiple Topological Authentications In The Encryption of Tree-like Networks 树状网络加密中的多重拓扑认证
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084707
Hongyu Wang, B. Yao
{"title":"On Multiple Topological Authentications In The Encryption of Tree-like Networks","authors":"Hongyu Wang, B. Yao","doi":"10.1109/ITNEC48623.2020.9084707","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084707","url":null,"abstract":"Blockchain uses a large number of cryptographic algorithms to ensure security. We will construct multiple topological authentications by topological graphic passwords and Topsnut-matchings, since matchings' phenomenon appear in almost branches of mathematics. We present two new techniques for our works, and design three construction algorithms for building up our multiple topological authentications. Our algorithms are based on graph labellings and graph operations. We give detail examples for illustrating each construction algorithm, and distribute a matching of two multiple topological authentication sets for producing text-based passwords with million or billion bytes in order to use them in quantum computer age.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121094006","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
Software Defect Prediction via Transformer 通过Transformer进行软件缺陷预测
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084745
Qihang Zhang, Bin Wu
{"title":"Software Defect Prediction via Transformer","authors":"Qihang Zhang, Bin Wu","doi":"10.1109/ITNEC48623.2020.9084745","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084745","url":null,"abstract":"In order to enhance software reliability, software defect prediction is used to predict potential defects and to improve efficiency of software examination. Traditional defect prediction methods mainly focus on design static code metrics, and building machine learning classifiers to predict pieces of code that potentially defective. However, these manual extracted features do not contain syntactic and semantic information of programs. These information is much more important than those metrics and can improve the accuracy of defect prediction. In this paper, we propose a framework called software defect prediction via transformer (DP-Transformer) which capture syntactic and semantic features from programs and use them to improve defect prediction. Specifically, we first parse source code into ASTs and then select representative nodes from ASTs to form token vectors. Then we employ mapping and word embedding to convert token vectors into numerical vectors and send the numerical vectors to transformer. Transformer will automatically extract syntactic and semantic features and eventually feed these features into a Logistic Regression classifier. We evaluate our method on seven open-source Java projects with certain labels and take F-measure as evaluation criteria. The experimental results show that averagely, the proposed DP-Transformer improves the state-of-art method by 8%.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116100987","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: 8
Research on the Energy Management Strategy of Range Extended Fuel Cell Electric Vehicle 增程燃料电池电动汽车能量管理策略研究
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084694
Xiangfei Meng, Dong Hao, Ren-guang Wang, Yuanli Xu, Zengna Wei, Lei Zhang
{"title":"Research on the Energy Management Strategy of Range Extended Fuel Cell Electric Vehicle","authors":"Xiangfei Meng, Dong Hao, Ren-guang Wang, Yuanli Xu, Zengna Wei, Lei Zhang","doi":"10.1109/ITNEC48623.2020.9084694","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084694","url":null,"abstract":"Aiming at the influence of too low SOC of battery and fuel cell power change on the life of energy source system, a kind of multi-mode energy management control strategy was designed based on an extended-range fuel cell vehicle equipped with a fuel cell-battery power system. The strategy can control the vehicle to switch automatically between power following and multi-point thermostat control methods according to changes of battery SOC and vehicle operation condition. Simulation results show that the designed control strategy can effectively avoid the damage to the life of the energy source system and keep the fuel cell operating points within the higher efficiency area.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121216465","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
Evaluation of Complex Network Layout Based on User Cognition 基于用户认知的复杂网络布局评价
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI: 10.1109/ITNEC48623.2020.9084966
Zijing Luo, Chengqi Xue, Xiaojiao Chen
{"title":"Evaluation of Complex Network Layout Based on User Cognition","authors":"Zijing Luo, Chengqi Xue, Xiaojiao Chen","doi":"10.1109/ITNEC48623.2020.9084966","DOIUrl":"https://doi.org/10.1109/ITNEC48623.2020.9084966","url":null,"abstract":"Although evaluation metrics for complex network layouts have been studied by many authors, it is still unclear whether these metrics can effectively evaluate cognitive performance of information. Therefore, we conducted user research on the cognition of nodes information of complex networks. Based on user response time and accuracy of the information, the paper makes a multiple regression model to sieve effective metrics and evaluate the layout. The results of model show that the screening metrics can effectively evaluate the response time and accuracy of the cognitive information in complex network layout. According to the results, we designed and developed a visual tool to help us better evaluate and optimize complex network layout algorithms from the perspective of users, and improve the efficiency of users' information acquisition.","PeriodicalId":235524,"journal":{"name":"2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581569","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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