2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)最新文献

Traffic Forecasting of Core Network Based on Improved Logistic Regression 基于改进逻辑回归的核心网流量预测

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673983

Song Xin, Xu Yuanbiao, Zhang Qijia, Lai Zhimao, Feng Renhai

引用次数: 2

The Text-Dependent Chinese Speaker Recognition System Based on the Universal Individual Identification 基于通用个人识别的基于文本的汉语说话人识别系统

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673820

Lili Wang, Zhihua Li, Kai Chen

{"title":"The Text-Dependent Chinese Speaker Recognition System Based on the Universal Individual Identification","authors":"Lili Wang, Zhihua Li, Kai Chen","doi":"10.1109/icicn52636.2021.9673820","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673820","url":null,"abstract":"In the past few decades, with the increase and popularization of smart devices, the security problem of device certification has been derived. Biometric authentication is becoming more and more popular, and contactless speaker recognition is one of its elegant forms. For the research of speaker recognition, most researchers are training based on a large amount of data. But in real life, for the use of a product, it is difficult to obtain a large amount of user data in a short time, so the setting of this user data is very important. Therefore, the purpose of the paper is to find the universal individual utterances in the Chinese system. We created a dataset of 30 speakers about the Chinese Pinyin table in the paper. The focus of this research is the use of initials and finals in Chinese Pinyin. According to the experimental results, the use of certain initials and finals in Chinese Pinyin helps to effectively determine the identity of the speaker. In the paper, we successfully found Chinese disyllable and trisyllable characters that can effectively identify the speaker. These Chinese characters can be used to develop text for any speaker-based authentication system.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116696802","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

A Cloud-Edge Collaboration Framework for Power Internet of Things Based on 5G networks 基于5G网络的电力物联网云边缘协作框架

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673856

Libin Zheng, Jing Chen, Tonglei Liu, Bingnan Liu, Jianan Yuan, Ganghong Zhang

{"title":"A Cloud-Edge Collaboration Framework for Power Internet of Things Based on 5G networks","authors":"Libin Zheng, Jing Chen, Tonglei Liu, Bingnan Liu, Jianan Yuan, Ganghong Zhang","doi":"10.1109/icicn52636.2021.9673856","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673856","url":null,"abstract":"In order to make full use of the advantages of 5G networks and meet the requirement of communication performance by the massive growth of devices in the area of power Internet of things, it is necessary to study the collaborative working mechanism of edge computing and cloud computing and give solutions. Based on the communication characteristics of 5G networks, this paper constructs a cloud-edge collaboration framework for Power Internet of Things, and comprehensively judges the information communication process according to communication bandwidth, communication delay and reliability of information, for example selecting large bandwidth or low delay or both of them, processing at the edge or in the cloud, so as to reduce the cost of data storage, communication and processing, promote the utilization rate of 5G networks communication resources to achieve customization and maximum utilization. In this paper, through the combination of cloud modeling analysis and edge real-time decision-making, the five-tuple of task processing type and four-tuple of communication information type are defined, and the cloud edge collaborative communication method of two-level cooperation between edge and sensor equipment and between edge and cloud communication is proposed to achieve high-quality, high-performance, real-time communication for improving the efficiency of power terminals.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117178536","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

Dual-Band and Dual-Circularly Polarized Shared-Aperture Antenna Based on UAV Communication 基于无人机通信的双频双圆极化共孔径天线

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673854

Chuang Wang, W. Cao, Rentang Hong, Wenyu Ma

{"title":"Dual-Band and Dual-Circularly Polarized Shared-Aperture Antenna Based on UAV Communication","authors":"Chuang Wang, W. Cao, Rentang Hong, Wenyu Ma","doi":"10.1109/icicn52636.2021.9673854","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673854","url":null,"abstract":"A dual-band dual-circularly polarized shared-aperture antenna based on unmanned aerial vehicle (UAV) communication is proposed in this paper. The design adopts a laminated structure, the upper layer is a microstrip ring antenna, and the lower layer is a circular patch antenna, so that the size of the antenna can be reduced. Through such a design method, it can be ensured that the performance of antenna with different frequencies basically does not affect each other, and the aperture of the antenna is relatively compact, forming a miniaturized dual-band shared-aperture antenna. A prototype is fabricated and measured to verify the effectiveness. Simulation and measurement results show that the antenna has good impedance matching and circular polarization characteristics, in which the impedance bandwidth of the microstrip ring antenna is 8.4% (1400–1520 MHz), the 3 dB axial ratio (AR) bandwidth is 0.7% (1430–1440 MHz), the impedance bandwidth of the circular patch antenna is 4.9% (2390–2510 MHz), and the 3dB AR bandwidth is 1.2% (24102440 MHz). The working bandwidth covers the two commonly used working frequency bands of UAV. The antenna has simple structure and independent performance, which is beneficial to realize miniaturization, multi-function and high integration of shared-aperture antenna, and has potential application prospect in UAV communication system.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121237772","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

An Extended Computer Aided Diagnosis System for Robust BCI Applications 一种鲁棒脑机接口应用的扩展计算机辅助诊断系统

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673818

Xiaojun Yu, Muhammad Zulkifal Aziz, Yiyan Hou, Haopeng Li, Jialin Lv, M. Jamil

{"title":"An Extended Computer Aided Diagnosis System for Robust BCI Applications","authors":"Xiaojun Yu, Muhammad Zulkifal Aziz, Yiyan Hou, Haopeng Li, Jialin Lv, M. Jamil","doi":"10.1109/icicn52636.2021.9673818","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673818","url":null,"abstract":"Electroencephalogram (EEG) signal processing is the pivotal procedure to decipher meaningful information from the lowkey signals to drive practical applications. This paper investigates an EEG signal processing model, which utilizes three EEG electrode combinations, six feature extraction methods, and seven classification algorithms together with an improved empirical Fourier decomposition (IEFD) for motor imagery (MI) EEG signal analysis. The feasibility of IEFD is further validated on a large GigaDB dataset with 52 participants along with the BCI competition III datasets IVa and IVb. Results reveal that IEFD mechanism yields robust classification outcomes when coupled with 18 electrodes combination, welch PSD features, and multilayer perceptron classifier, and the best classification accuracy of 99.52%, 99.35%, 98.89%, 99.52%, 100%, and 93.19% is achieved for dataset IVa and IVb subjects, respectively. Moreover, the GigaDB dataset yields an average classification accuracy, sensitivity, specificity, and fl-score of 83.84%, 83.71%, 83.98%, and 83.80% accordingly. Results compared with previous studies conclude that the proposed model improves the average classification accuracy by 16.6%. Such promising findings conclude that the proposed IEFD method is robust and adaptive for MI EEG signals classification, independent of subject-to-subject variance for multiple datasets.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127459422","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

Dragonfly-of-Torus: A Reconfigurable Network Topology for High-Performance Computing 环形蜻蜓:用于高性能计算的可重构网络拓扑

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673987

Zuoqing Zhao, B. Guo, Shanguo Huang, X. Xue

引用次数: 1

High-speed Railway Ballastless Track Slab Monitoring based on Optical Fiber Accelerometer 基于光纤加速度计的高速铁路无砟轨道板监测

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9674004

Wentao Zhang, Jianxiang Zhang, Wenzhu Huang, Zhi Liu, Li Li, Yan-liang Du

引用次数: 0

Optimized Radial Basis Function Network Based on Beetle Antenna Search for Indoor Localization Algorithm 基于甲虫天线搜索的优化径向基函数网络室内定位算法

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673902

Yenan Liu, Xiangqian Zhou, Feng Zhang, Li Zhao, Mengyang Zhang

{"title":"Optimized Radial Basis Function Network Based on Beetle Antenna Search for Indoor Localization Algorithm","authors":"Yenan Liu, Xiangqian Zhou, Feng Zhang, Li Zhao, Mengyang Zhang","doi":"10.1109/icicn52636.2021.9673902","DOIUrl":"https://doi.org/10.1109/icicn52636.2021.9673902","url":null,"abstract":"In order to improve the accuracy and robustness of Bluetooth indoor localization, an improved fusion hybrid filter and radial basis function neural network (RBFNN) indoor localization method is proposed, which effectively improves the accuracy of received signal strength (RSS) by combining various filtering algorithms, and introduces a radial basis neural network in machine learning algorithm to map the nonlinear relationship between RSS and anchor node to signal receiver localization. RBFNN is optimized using the algorithm of beetle antenna search to further improve the stability of localization. An experimental platform based on NRF52810 and a smart phone is built to verify the proposed method. Theoretical analysis and experimental results show that the average positioning error of the proposed method is 0. 63m, the confidence probability of less than lm is 75%, and the confidence probability of less than 2m is 96%. It can effectively reduce the positioning error and improve the positioning accuracy, and is easy deploy, which has high application value.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129611347","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

A Novel Embedding Model for Knowledge Graph Completion Based on Quaternion 基于四元数的知识图补全嵌入模型

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673862

Haipeng Gao, Kun Yang, Y. Yang, Ke Qin

引用次数: 1

Physical Layer Encryption Scheme based on Reservoir DNA and Index Scrambling in the CO-OFDM system CO-OFDM系统中基于储层DNA和索引置乱的物理层加密方案

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI: 10.1109/icicn52636.2021.9673993

Yunzhi Yang, Shuo Chen, Le Liu, Jiang Huang, Julong Chen, Xin Jiang, Hailong Zhu, Xianfeng Tang

引用次数: 0