I. Balabanova, V. Markova, S. Kostadinova, G. Georgiev
{"title":"Comparative Analysis between Machine Learning Methods in Tones Classification","authors":"I. Balabanova, V. Markova, S. Kostadinova, G. Georgiev","doi":"10.1109/TELECOM50385.2020.9299535","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299535","url":null,"abstract":"This paper presents an analysis between the indicators in synthesis of models based on machine learning techniques for RMS noise levels recognition of tones with different frequencies. Discriminant classification models were performed in MATLAB as pseudo-quadratic model with the highest accuracy of 84.650% was selected. Naïve Bayes algorithm with Gaussian and Kernel distributions is implemented in the classification process, as the better results were obtained in the second approach. In selection of the metric distance by the k-NN method an accuracy range from 89.800% to 91.050% is observed.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"19 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":"132744929","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}
{"title":"Administrative Automatic Solutions in Telecom Services","authors":"Milena Petkova, Boyan Jekov, Petya Petkova","doi":"10.1109/TELECOM50385.2020.9299554","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299554","url":null,"abstract":"Network operators in Telecommunication Industry stand to gain with the newest innovations of process automatic solutions as decreasing the necessity for their employees to perform repetitive processes and leading to improved productivity and effectiveness. Robotic process solutions in telecom helps to minimize manual mistakes and improve turnaround times in processes such as invoice preparation, billing, and document verification which are repetitive in general. Startups and emerging companies evolve Robotic Process Automation (RPA) to upgrade overall profitability, customer satisfaction and retention.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"1 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":"130455157","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}
{"title":"The Video Sequences Quality with Wavelet Coding at Different Channel Bandwidth","authors":"M. Patlayenko, O. Osharovska, V. Pyliavskyi","doi":"10.1109/TELECOM50385.2020.9299572","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299572","url":null,"abstract":"The article presents the results of assessing the quality of an image transmitted over a communication channel with different bandwidth, if it is encoded with the developed wavelet codec. The degradation of the video stream quality in the case of narrowing the traffic channel with partial packet loss, if each packet contained one sub-band, was estimated. It is shown that the average compression ratio of the video codec based on the wavelet transform is 227.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"49 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":"131748477","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}
Dimitar D. Arnaudov, Krasimir Kishkin, D. Tashev, Rradoslav Penkov
{"title":"Contactless Battery Charging System for a Small Electrical Vehicle","authors":"Dimitar D. Arnaudov, Krasimir Kishkin, D. Tashev, Rradoslav Penkov","doi":"10.1109/TELECOM50385.2020.9299540","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299540","url":null,"abstract":"Contactless energy transfer is meant to be a bridge into the future electronic technologies not only for communication but for power supplying as well. Nowadays wireless energy transfer becomes more and more popular as convenient way for charging electric vehicles. This article describes a method for contactless energy transmission for a small electric vehicle by using high – frequency inductive coupling between mechanically separated transformer coils. Managing the charging process is achieved by using an onboard charging meter. A laboratory model was created to demonstrate the abilities of the system.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"14 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":"124072947","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}
{"title":"Copyright and Related Rights in the Digital World 2020","authors":"Eng. Boyko Hristov Harlov","doi":"10.1109/TELECOM50385.2020.9299557","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299557","url":null,"abstract":"The paper examines the new DIRECTIVE (EU) 2019/790 on copyright in the digital single market and its forthcoming adaptation and technological non-alignment of the legal norms with the set goals. Risk assessment and sufficient number of conclusions is made - what positive and negative impacts can be expected from its implementation. A conclusion is drawn that in the near or distant future, the path of copyright goes to limit them only to non-property rights - copyright, right of disclosure, and inviolability of the work.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"231 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":"133707911","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}
{"title":"An Approach for Multichannel ECG Compression Using HOSVD","authors":"Yuliyan Velchev","doi":"10.1109/TELECOM50385.2020.9299549","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299549","url":null,"abstract":"A novel approach for multichannel electrocardiogram compression is presented in this paper. It is based on tensor decomposition for inter-beat and inter-lead redundancy minimization as a first stage. The intra-beat correlation is exploited using ID wavelet compression of the result obtained from the first stage. Finally, the resulting tensors and matrices are serialized and entropy encoded. The achieved compression ratio is as high as 17 with acceptable restoration error.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"1 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":"131120245","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}
{"title":"Study the Stability of the Amplifiers using PSPICE","authors":"I. Dochev, StoychoVelizarov Manev, L. Docheva","doi":"10.1109/TELECOM50385.2020.9299556","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299556","url":null,"abstract":"In the last few months, more than ever, the problem of the distant education has become particularly important. In this case, the implementation of computers is absolutely necessary. In the presented paper we propose stability analysis of analogue circuits by means of modern computer simulation program PSPICE (students version). The use of this program allows comparatively easy a tight connection between the theoretical background and the engineering praxis to be established. Another advantage is that the obtained results can be visualized, which contributes to better understanding of difficult engineering problems.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"25 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":"123301881","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}
I. Balabanova, S. Kostadinova, V. Markova, G. Georgiev
{"title":"Identification of Tones with Noises by Artificial Intelligence","authors":"I. Balabanova, S. Kostadinova, V. Markova, G. Georgiev","doi":"10.1109/TELECOM50385.2020.9299531","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299531","url":null,"abstract":"The paper presents the results of the application of artificial backpropagation neural networks in identification of signal frequency tones with different RMS noise level. The Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) training algorithms were applied in the processes of neural synthesis. Three-layer with 35 hidden neurons and four-layer architectures with 22 in the first and 11 neurons in the second hidden layer in hyperbolic tangent transfer functions with accuracies 96.00% and 98.00% in LM were selected. For SCG with softmax output activation function a neural network with the best accuracy 94.3% in 29 hidden neurons was synthesized.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"39 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":"122742751","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}
{"title":"Spectrum Sensing Error Performance in Cognitive Radio using PCA and Different Clustering Methods","authors":"Todor D. Tsvetkov, I. Iliev","doi":"10.1109/TELECOM50385.2020.9299547","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299547","url":null,"abstract":"In this article we examine various clustering methods suitable for signal processing from wide frequency range. Hierarchical and partitioning techniques are considered. The research is done on the basis of cluster size, signal to noise ratio and means square error. Preprocessing using principal component analysis and subsequent clustering can decrease mean square error and increase accuracy. The goal of this article is to improve quality parameters for cognitive radio systems by applying preprocessing and cluster analysis.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"10 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":"125002731","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}
{"title":"Business Intelligent Systems Data Processing","authors":"I. Stankov","doi":"10.1109/TELECOM50385.2020.9299542","DOIUrl":"https://doi.org/10.1109/TELECOM50385.2020.9299542","url":null,"abstract":"The exigency of managing, modeling and navigating today’s intricate business climates and environments is an exemplar of the demand for an additional force to drive the decision making processes. Business intelligence systems govern and support the decision making process for the corporate management by analyzing and interpreting the available and stored data. This article explores and analyzes the process of extracting, loading, storing, transforming and dissecting data to find meaningful trends and patterns and reaching to conclusions. This article presents and studies two such processes and recommends the appropriate cases of their use.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"1 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":"116897511","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}