2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)最新文献

筛选
英文 中文
Development Status and Comprehensive Evaluation Method of Battery Energy Storage Technology in Power System 电力系统电池储能技术发展现状及综合评价方法
Guopeng Zhao, Lun Shi, Bo Feng, Yongqiang Sun, Yucong Su
{"title":"Development Status and Comprehensive Evaluation Method of Battery Energy Storage Technology in Power System","authors":"Guopeng Zhao, Lun Shi, Bo Feng, Yongqiang Sun, Yucong Su","doi":"10.1109/ITNEC.2019.8729448","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729448","url":null,"abstract":"With the advent of the smart grid and energy Internet era, the scale of new energy generation such as wind energy and photovoltaics is growing rapidly. The power systems in the world are changing from traditional to intelligent, and the application of energy storage technology will become an important part of this transformation. This paper introduces the development status and technical economy of energy storage batteries in power systems, and proposes a comprehensive evaluation method of battery energy storage technology, which comprehensively evaluates the application of energy storage technology in different fields. According to the factors of comprehensive evaluation system and the characteristics of different types of battery energy storage technology, the application of battery energy storage technology in different fields is evaluated comprehensively and relevant suggestions are put forward to provide reference for government authorities and power enterprises.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133465162","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: 12
An High-precision FFT Frequency Offset Estimation Algorithm based on Interpolation and Binary Search 一种基于插值和二叉搜索的高精度FFT频偏估计算法
Cuilian Wang, Yin Li, Ke Li
{"title":"An High-precision FFT Frequency Offset Estimation Algorithm based on Interpolation and Binary Search","authors":"Cuilian Wang, Yin Li, Ke Li","doi":"10.1109/ITNEC.2019.8729465","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729465","url":null,"abstract":"The traditional Fast Fourier Transform (FFT) frequency offset estimation algorithm is difficult to take account of the Signal-to-Noise Ratio (SNR), estimation range and estimation accuracy. To solve this problem, an FFT frequency offset estimation algorithm based on interpolation and binary search is proposed in this paper. The unbiased estimation of frequency offset can be obtained by one interpolation. Interpolation is followed by binary search to improve the estimation accuracy of frequency points near the spectral line. In practical application, interpolation algorithm can be used for coarse frequency offset estimation, and then binary search can be used to finish fine frequency offset estimation. This algorithm is suitable for carrier recovery in deep space communication under the condition of higher carrier precision requirements.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881523","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: 6
High Performance and Scalable Byzantine Fault Tolerance 高性能和可扩展的拜占庭容错
Yanjun Jiang, Zhuang Lian
{"title":"High Performance and Scalable Byzantine Fault Tolerance","authors":"Yanjun Jiang, Zhuang Lian","doi":"10.1109/ITNEC.2019.8728972","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8728972","url":null,"abstract":"With the great success of cryptocurrencies, people have paid great attention to blockchain technology and Byzantine fault tolerance (BFT) for consensus. Practical Byzantine Fault Tolerance protocol (PBFT) proposed by Castro and Liskov in 1999 is recognized as the most classic protocol for solving the Byzantine generals problem, but it still has many fatal disadvantages. Firstly, its communication complexity in the consensus process has reached O(n2), so that it can only be applied in a small-scale system. Secondly, it works in a completely enclosed environment, nodes are not allowed to participate or exit the network without restarting the system, making it difficult to get applied in the actual system. In order to solve these problem, this paper proposes the High Performance and Scalable Byzantine Fault Tolerance, an improved BFT protocol, called HSBFT. In normal case operation, the HSBFT’s communication complexity is reduced to O(n), and it also has the ability to be scalable, making it adaptable to more diverse practical scenarios.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117199073","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: 18
Research on Digital Copyright Management System Based on Blockchain Technology 基于区块链技术的数字版权管理系统研究
Xuewang Zhang, Yijun Yin
{"title":"Research on Digital Copyright Management System Based on Blockchain Technology","authors":"Xuewang Zhang, Yijun Yin","doi":"10.1109/ITNEC.2019.8729410","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729410","url":null,"abstract":"The thesis proposes a decentralized digital rights management and transaction system architecture based on blockchain technology. Using Tendermint as a consensus mechanism for block chain, a blockchain system is built in a way that consumes less resources and throughput. In the system design, a transaction filtering strategy and a state data recovery engine are introduced to solve the regulatory problems in the block chain system. Design account management, copyright registration, and copyright trading strategies to manage digital copyright information in an efficient and controlled manner. Through experiments and analysis, the designed model can meet the needs of copyright management.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123601234","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: 11
Short Polar-coded Non-coherent Receiver 短极编码非相干接收机
Huangxia Xu, Chaofan Chen, Yanming Xue
{"title":"Short Polar-coded Non-coherent Receiver","authors":"Huangxia Xu, Chaofan Chen, Yanming Xue","doi":"10.1109/ITNEC.2019.8729533","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729533","url":null,"abstract":"Emergency communications will be the key to deal with natural or man-made emergencies. Their prerequisites are the short frame burst under limited resources, as well as reliable bit error rate (BER) performance in low signal to noise ratio (SNR). With respect to short codes, polar codes normally outperform Low Density Parity Check (LDPC) codes and convolutional codes, which makes them more suitable for the emergency communications. However, the traditional polarcoded receiver either has a large discrepancy between the practical receiving performance and the theoretical one, or has high complexity, which limits its applications for emergency communications. Hence, to adapt to such scenario, in this paper we invoke an iterative mechanism into the receiver and propose a new non-coherent detection module, namely, short polar-coded non-coherent detection (SPND) module, as well as its corresponding detection algorithm, namely, outercode-feedback-innercode (OCFIC) BCJR-based algorithm. The simulations demonstrate that, with the condition of non-coherent channel and of the target BER of 10-5, the performance gap between the noncoherent detection scheme with the proposed SPND module and the coherent counterpart can be reduced to around 1dB. Meanwhile, the SPND module with short polar codes is superior to conventional non-coherent receiver with short LDPC codes, short polar codes and (2,1,7) convolutional codes by 1.2dB, 2.8dB and 3dB, respectively. Hardware implementation of the module is also presented in this paper.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128439958","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
Stability Analysis of Earth-rock Dam Slopes based on Big Data Fuzzy Ant Colony Clustering 基于大数据模糊蚁群聚类的土石坝边坡稳定性分析
Yang Yang, Haifeng Xu, Yongjun He, Zhihao Yin
{"title":"Stability Analysis of Earth-rock Dam Slopes based on Big Data Fuzzy Ant Colony Clustering","authors":"Yang Yang, Haifeng Xu, Yongjun He, Zhihao Yin","doi":"10.1109/ITNEC.2019.8729524","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729524","url":null,"abstract":"The soil material, structure, construction, operation and management conditions are all influence affecting the stability of earth-rock dam slopes. The analogy and cluster analysis methods are usually used to solve such multi-influence analysis problems. The common statistical classification method has sensitivity to the calculation process and requires high data parameters, so it is difficult to obtain the optimal result. The ant colony clustering algorithm simulates the method used by ants to solve the optimal path problem through bionics theory, and can obtain better calculation results. Based on the ant colony algorithm, the fuzzy theory is introduced to optimize the parameters of the ant colony clustering process to realize the fuzzy ant colony clustering calculation of the stability of the earth-rock dam slopes. The calculation examples are validated by clustering method, simulated annealing algorithm and ant colony clustering method to prove the result and advantage of the proposed method.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127039086","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
Center Particle Swarm Optimization Algorithm 中心粒子群优化算法
Y. Xiaojing, Ji Qingju, Liu Xinke
{"title":"Center Particle Swarm Optimization Algorithm","authors":"Y. Xiaojing, Ji Qingju, Liu Xinke","doi":"10.1109/ITNEC.2019.8729510","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729510","url":null,"abstract":"The linear decreasing weight particle swarm optimization algorithm (LDWPSO) is mentioned in the concept of a center particle, and then puts forward center particle swarm optimization algorithm (PSO). The linear decreasing weight particle swarm optimization algorithm, unlike other general center particle, particle velocity center is not clear, and is always placed in the center of the particle swarm. In addition, the neural network training algorithm compared to particle swarm optimization algorithm and the linear decreasing weight particle swarm optimization algorithm, results show that: the performance is better than the linear optimization center particle swarm decreasing weight PSO algorithm. algorithm.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130636520","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: 24
Application of LDHA-BP in Prediction of Atmospheric PM2.5 Concentration LDHA-BP在大气PM2.5浓度预测中的应用
Jianqiang Zhao, J. Dou, Kao Ge
{"title":"Application of LDHA-BP in Prediction of Atmospheric PM2.5 Concentration","authors":"Jianqiang Zhao, J. Dou, Kao Ge","doi":"10.1109/ITNEC.2019.8729040","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729040","url":null,"abstract":"LDHA-BP algorithm is designed for lack of using BP neural networks to predict atmospheric concentrations of PM2.5. In this algorithm, the process of solving the optimal weights and thresholds of BP neural networks will be transformed into the process of finding the optimal location of the dolphin species predator's, by introducing Leader Dolphins Herd Algorithm (LDHA).The algorithm effectively combines the good generalization ability of BP neural network neural and the global optimization ability, local search capability of LDHA. Test data for PM2.5 from a monitoring point in Wuhan to predict the PM2.5 concentrations in future. The experimental results show that LDHA-BP is faster, more accurate to predict the PM2.5 concentrations and it has good practical value.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323225","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: 4
Enhancing the Physical Layer Security of Cooperative NOMA System 增强协同NOMA系统的物理层安全性
An-run Li
{"title":"Enhancing the Physical Layer Security of Cooperative NOMA System","authors":"An-run Li","doi":"10.1109/ITNEC.2019.8729389","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729389","url":null,"abstract":"In the future wireless communication networks, the key technique such as NOMA of 5G becomes prevailing. This paper analyzes the physical layer security of cooperative NOMA system. In analysis, this system which adopts decode-and-forward (DF) consists of one base station (BS), M relays and two users. In particular, a two-stage relay scheme is proposed, and analytical results are developed to demonstrate that this two-stage relay scheme can achieve the lower outage probability among all possible relay schemes, and realize the full diversity gain. The closed-form expression on outage probability is derived, as well as the asymptotic expression on outage probability is derived in the high SNR. Meanwhile, Monte-Carlo simulations are provided to demonstrate that cooperative NOMA with this two-stage relay scheme outperforms that based on the conventional max-min approach.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128821274","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: 4
EEG-Based Identification of Latent Emotional Disorder Using the Machine Learning Approach 基于脑电图的潜在情绪障碍的机器学习识别
Yaling Deng, Fan Wu, Lei Du, R. Zhou, Lihong Cao
{"title":"EEG-Based Identification of Latent Emotional Disorder Using the Machine Learning Approach","authors":"Yaling Deng, Fan Wu, Lei Du, R. Zhou, Lihong Cao","doi":"10.1109/ITNEC.2019.8729424","DOIUrl":"https://doi.org/10.1109/ITNEC.2019.8729424","url":null,"abstract":"Emotion influences our daily life to a large extent, especially for those who are undergoing bad mood and have high risk for emotional disorders. It is hard to recognize them, but very important so that we can provide intervention before them getting worse. This study used EEG signals to recognize who has high risk for emotional disorders instead of emotion type only. The proposed machine learning method combined the features of multiple cortex areas and frequency bands to find the high risky group for emotional disorders through a kernel SVM classifier. It achieved the accuracy of 95.20%, with all cortex areas and all frequency bands. Results showed that the frontal cortex, central cortex and temporal cortex have a primary influence on identifying emotional disorder and can be used for the reference information for professional diagnose.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128821392","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: 4
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信