发布求助
文献互助 智能选刊 最新文献

2020 28th National Conference with International Participation (TELECOM)最新文献

筛选
英文 中文
Innovative Approaches in Teaching Business and Economics of Telecommunications at NBU Department of Telecommunications 北洋大学电信系电信商业与经济教学的创新方法
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/telecom50385.2020.9299538
Josif Avramov
{"title":"Innovative Approaches in Teaching Business and Economics of Telecommunications at NBU Department of Telecommunications","authors":"Josif Avramov","doi":"10.1109/telecom50385.2020.9299538","DOIUrl":"https://doi.org/10.1109/telecom50385.2020.9299538","url":null,"abstract":"This paper provides an overview of some innovative teaching approaches in Business and Economics of Telecommunications as an integral part of the BA Telecommunications and Computer Technologies program at New Bulgarian University. It focuses on the advantages and application of new approaches in the real economy of telecommunications. These cover a number of management issues and financial instruments of European funds, as well as the new ways neuromarketing, which are of major significance for telecommunications students in their future careers.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"283-286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130788872","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
Comparison of Activation Functions in Convolution Neural Network 卷积神经网络中激活函数的比较
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299559
Maria Pavlova
{"title":"Comparison of Activation Functions in Convolution Neural Network","authors":"Maria Pavlova","doi":"10.1109/TELECOM50385.2020.9299559","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299559","url":null,"abstract":"The Convolution Neural Network (CNN) is a network with an input that is solely images. It is very useful as a powerful instrument for object recognition. This paper presents a part of a research in an area of the object recognition with a CNN for recognition of forest fires. The paper presents the different activation functions used in the CNN and the aim of the paper is a comparison between all of them. There are limitations in this field of research and in this paper information on them is provided.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128044122","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
Improved Peak Detection Algorithm for Photoplethysmographic Signals 光容积脉搏波信号的改进峰值检测算法
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299546
V. Markova, Kalin Kalinkov, T. Ganchev
{"title":"Improved Peak Detection Algorithm for Photoplethysmographic Signals","authors":"V. Markova, Kalin Kalinkov, T. Ganchev","doi":"10.1109/TELECOM50385.2020.9299546","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299546","url":null,"abstract":"We present a computationally efficient non-parametric algorithm for the automated detection of systolic peaks in photoplethysmography (PPG) signal that does not require preprocessing for artifact elimination, signal filtering, or detrending. It is validated in an experimental setup based on the publicly available CLAS dataset. The experimental results show that it outperforms two well-known methods in terms of detection accuracy and computational demands. We report a very high detection accuracy, with an error rate below 0.5%, on good quality signals and below 13% on very low-quality PPG signals. The proposed algorithm is characterized with very short processing times and on a low-cost laptop computer requires approximately 0.000012 real-time for the processing of a 60-seconds recording.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134332399","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
Deep Learning and SVM-Based Method for Human Activity Recognition with Skeleton Data 基于深度学习和svm的人体骨骼活动识别方法
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299541
P. Hristov, A. Manolova, O. Boumbarov
{"title":"Deep Learning and SVM-Based Method for Human Activity Recognition with Skeleton Data","authors":"P. Hristov, A. Manolova, O. Boumbarov","doi":"10.1109/TELECOM50385.2020.9299541","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299541","url":null,"abstract":"In recent years, research related to the analysis of human activity has been the subject of increased attention by engineers dealing with computer vision, and particularly that which utilizes deep learning. In this paper, we propose a method for classification of human activities, composed of 3D skeleton data. This data is normalized beforehand and represented in two forms, which are fed to a neural network with parallel convolutional and dense layers. After the network is trained, the training data is propagated again to infer the output from the second last layer. This output is used for training a Support Vector Machine. All hyperparameters were found using the Bayesian Optimization strategy on the PKU-MMD dataset. Our method was tested on the UTD-MHAD dataset, achieving an accuracy of 92.4%","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117326815","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: 3
TELECOM 2020 Committees 电信2020委员会
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/telecom50385.2020.9299561
{"title":"TELECOM 2020 Committees","authors":"","doi":"10.1109/telecom50385.2020.9299561","DOIUrl":"https://doi.org/10.1109/telecom50385.2020.9299561","url":null,"abstract":"","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126338337","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
Ways to Measure the Delay in IP Networks 测量IP网络延迟的方法
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299569
Ivan Nedyalkov, Georgi Georgiev, Alexey K. Stefanov, Emil Botusharov
{"title":"Ways to Measure the Delay in IP Networks","authors":"Ivan Nedyalkov, Georgi Georgiev, Alexey K. Stefanov, Emil Botusharov","doi":"10.1109/TELECOM50385.2020.9299569","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299569","url":null,"abstract":"The paper reviews various tools and methods for measuring the delay in IP networks. Methods for measuring of the jitter are also mentioned, as the jitter is an integral part of the delay, especially in real-time data transmission, such as VoIP. The one-way and two-way measurement methods of the delay are described. The protocols through which the one-way and two-way active measurements are realized and presented. Various tools for latency measurement are also presented. The use of Wireshark for measuring the delay and jitter in IP networks is presented.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"848 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130073976","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
Using of Bfloat16 Format in Deep Learning Embedded Accelerators based on FPGA with Limited Quantity of Dedicated Multipliers Bfloat16格式在专用乘法器数量有限的FPGA深度学习嵌入式加速器中的应用
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299565
B. B. Petrov
{"title":"Using of Bfloat16 Format in Deep Learning Embedded Accelerators based on FPGA with Limited Quantity of Dedicated Multipliers","authors":"B. B. Petrov","doi":"10.1109/TELECOM50385.2020.9299565","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299565","url":null,"abstract":"The hardware base of Deep Learning Neural Network (DLNN) realization methods are remote cloud services, Graphical Processing Units (GPU) and Field Programmable Gate Arrays (FPGA). The one of the main differences between FPGA devices is important for DLNN realization is quantity of dedicated multipliers in DSP blocks. In this article a method for optimization based on bfloat16 data format useful for FPGA devices with small quantities of DSP blocks is described.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740782","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 Study of the Selectivity of Hausdorff-type Array Antennas 豪斯多夫型阵列天线的选择性研究
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299529
Peter Apostolov
{"title":"A Study of the Selectivity of Hausdorff-type Array Antennas","authors":"Peter Apostolov","doi":"10.1109/TELECOM50385.2020.9299529","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299529","url":null,"abstract":"In the paper an approximation of ideal array factor of uniform linear array antenna – Kronecker-delta function, with two approximation polynomials in Hausdorff metric is performed. Equations for half power bandwidth angle are proposed. Analytical and comparative analysis of the uniform linear array antenna selectivity is done.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128945913","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
Study of Scientific Publications on the Nature of Industry 4.0 and Bulgarian case 关于工业4.0性质的科学出版物研究与保加利亚案例
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299548
V. Stefanova-Stoyanova
{"title":"Study of Scientific Publications on the Nature of Industry 4.0 and Bulgarian case","authors":"V. Stefanova-Stoyanova","doi":"10.1109/TELECOM50385.2020.9299548","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299548","url":null,"abstract":"The need for mass application of the principles of Industry 4.0 is determined by the rapid growth of new technologies, leading to unprecedented automation, robotics, and digitization of real production and business processes. In order for Bulgaria not to lag behind the general trends in the EU and the world for the introduction of a digital society and in particular digitalization of the economy (digital transformation), it is necessary to adopt and implement specific measures, especially in terms of management.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132415240","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
Design and Implementation of a System for Remote IoT Device Management 远程物联网设备管理系统的设计与实现
2020 28th National Conference with International Participation (TELECOM) Pub Date : 2020-10-29 DOI: 10.1109/TELECOM50385.2020.9299568
Neven Nikolov, O. Nakov
{"title":"Design and Implementation of a System for Remote IoT Device Management","authors":"Neven Nikolov, O. Nakov","doi":"10.1109/TELECOM50385.2020.9299568","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299568","url":null,"abstract":"In this article are described the design and implementation of a system for remote IoT device management. The idea is to control the remote devices using 3G connection, where the internet or WiFi is not available. In the article are shown the general architecture, hardware and software realization.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132519841","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
首页 上一页 下一页 尾页
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
现在去查看 取消
×
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