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2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)最新文献

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Outlier Detection in Non-Linear Regression Analysis Based on the Normalizing Transformations 基于归一化变换的非线性回归分析中的离群点检测
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235464
S. Prykhodko, N. Prykhodko, L. Makarova, A. Pukhalevych
{"title":"Outlier Detection in Non-Linear Regression Analysis Based on the Normalizing Transformations","authors":"S. Prykhodko, N. Prykhodko, L. Makarova, A. Pukhalevych","doi":"10.1109/TCSET49122.2020.235464","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235464","url":null,"abstract":"The statistical technique for detecting outliers in non-linear regression analysis of non-Gaussian data based on the normalizing transformations and prediction intervals is proposed. The application of the technique is considered for detecting outliers in four-variate non-Gaussian data, which used for constructing the three-factor non-linear regression model based on the normalizing transformations, both multivariate and univariate. We demonstrate that the width of the non-linear regression prediction interval based on the Johnson four-variate transformation is less than after using the Johnson and decimal logarithm univariate transformations.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131508659","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
Variation Approach to Signal Synthesis with Minimal Energy Outside the Operating Frequency Band 工作频带外能量最小的信号合成变分法
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235577
I. Lesovoy, I. Makarov
{"title":"Variation Approach to Signal Synthesis with Minimal Energy Outside the Operating Frequency Band","authors":"I. Lesovoy, I. Makarov","doi":"10.1109/TCSET49122.2020.235577","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235577","url":null,"abstract":"Is shown that the synthesis of a signal of the optimal shape is an extreme task, the variation nature of which allows us to apply ideas and methods of functional analysis to solve it. To study functional extreme properties, calculus of variations is applied. The obtained expression describes the shape of an elementary signal of finite duration with minimum energy outside the working frequency band.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125467589","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
Two-stage time-series clustering approach under reducing time cost requirement 降低时间成本要求的两阶段时间序列聚类方法
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235513
N. Manakova, V. Tkachenko
{"title":"Two-stage time-series clustering approach under reducing time cost requirement","authors":"N. Manakova, V. Tkachenko","doi":"10.1109/TCSET49122.2020.235513","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235513","url":null,"abstract":"Clustering is an essential task of unsupervised learning, which is valuable as a specific data mining tool and as an auxiliary stage of numerous highly demanded tasks, including recognizing structures, tuning of forecast parameters, detecting anomalies, and others. Significantly data-driven, especially of specific data such as time-series considered here, as well as with an impressive growth of the volume data, the computational cost becomes a vital critical issue. In the research presented, the authors developed a two-step approach to clustering based on the split of a massive dataset into two unequal parts under the control of the clusterability metric through the instance-based and feature-based combination of time-series clustering. The conducted experimental study on the well-known test data set confirmed the competitiveness of the proposed method under the conditions of the requirement to reduce time costs.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131884332","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
Nanoelectronic Pressure Transducer with a Frequency Output Based on a Resonance Tunnel Diode 基于共振隧道二极管的频率输出纳米电子压力传感器
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235474
I. Osadchuk, A. Osadchuk, V. Osadchuk, A. Semenov
{"title":"Nanoelectronic Pressure Transducer with a Frequency Output Based on a Resonance Tunnel Diode","authors":"I. Osadchuk, A. Osadchuk, V. Osadchuk, A. Semenov","doi":"10.1109/TCSET49122.2020.235474","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235474","url":null,"abstract":"The report shows the possibility of creating a nanoelectronic transducer with a frequency output based on a tunnel resonance diode. The electrical circuit of the nanoelectronic pressure transducer consists of a constant voltage source that feeds the tunnel resonance diode and a circuit of two bipolar transistors, three resistors, inductance and capacitance. The circuit implements a self-oscillator whose frequency depends on the action of pressure. Under the action of pressure on the tunnel resonance diode its voltage changes, that leads to a change in negative differential resistance in the oscillatory system of the oscillator, which in turn changes the output frequency of the oscillator. As shown by experimental studies, the sensitivity of the transducer was 0.25-2.25 kHz/kPa. A mathematical analysis of the operation of the circuit is carried out.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133666029","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
Software Defined Demodulation of Multiple Frequency Shift Keying with Dense Neural Network for Weak Signal Communications 弱信号通信中密集神经网络多重频移键控的软件解调
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235501
Mykola Kozlenko, V. Vialkova
{"title":"Software Defined Demodulation of Multiple Frequency Shift Keying with Dense Neural Network for Weak Signal Communications","authors":"Mykola Kozlenko, V. Vialkova","doi":"10.1109/TCSET49122.2020.235501","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235501","url":null,"abstract":"In this paper we present the symbol and bit error rate performance of the weak signal digital communications system. We investigate orthogonal multiple frequency shift keying modulation scheme with supervised machine learning demodulation approach using simple dense end-to-end artificial neural network. We focus on the interference immunity over an additive white Gaussian noise with average signal-to-noise ratios from -20 dB to 0 dB.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133254229","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
Effective and Secure Transmission of Monitoring Signals and Frames of Video Data Samples Serving Internet of Things 服务于物联网的监控信号和视频数据帧的有效安全传输
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235537
B. Shevchuk, Yuriy Brayko, O. Ivakhiv, M. Geraimchuk, R. Velgan
{"title":"Effective and Secure Transmission of Monitoring Signals and Frames of Video Data Samples Serving Internet of Things","authors":"B. Shevchuk, Yuriy Brayko, O. Ivakhiv, M. Geraimchuk, R. Velgan","doi":"10.1109/TCSET49122.2020.235537","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235537","url":null,"abstract":"Proposed approaches to organize and design of sensor nodes of effective wireless networks using methods and algorithms for operational coding and encryption of monitoring signals and video frames. For the organization of data packets protection (crypto-resistance and noise-resistance) algorithms for complex processing and coding of monitoring data are proposed. Implementing the algorithms optimized for speed and accuracy, the information- and energy-efficient wireless network sensor node structure can be realized. In the proposed comprehensive compression-protection of monitoring data at the information and link layers of IoT, data transmission in the radio channel is based on pseudo-random sequences. The parameters for the formation of minimized pseudo-random data should be known only to the transmitter and receiver of the current packet. The proposed approaches to developing information and energy-efficient IoT network operating systems are the basis for building highly competitive, secure, widespread wireless networks.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726233","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
Model and Information Technology for Hourly Water Consumption Interval Forecasting 小时用水量区间预测模型与信息技术
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235452
Taras Mykhailovych, M. Fryz
{"title":"Model and Information Technology for Hourly Water Consumption Interval Forecasting","authors":"Taras Mykhailovych, M. Fryz","doi":"10.1109/TCSET49122.2020.235452","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235452","url":null,"abstract":"Theoretical foundation of information technology for short-term water consumption forecasting has been considered. Hourly water consumption has been modelled as a cyclostationary conditional linear random process. Using the model an approach for interval forecasting has been proposed based on periodical autoregressive time series and nonparametric periodic quantile estimations. The corresponding information technology has been developed and analysed. The results of implementation have been presented and can be used for enabling optimal short-term water supply management.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129396713","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
Frequency Dependence of Objects Eigen Polarization at UWB Remote Sensing 超宽带遥感地物本征偏振频率依赖性研究
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235530
D. Kalimullin, A. Popov
{"title":"Frequency Dependence of Objects Eigen Polarization at UWB Remote Sensing","authors":"D. Kalimullin, A. Popov","doi":"10.1109/TCSET49122.2020.235530","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235530","url":null,"abstract":"The frequency dependence of objects polarization characteristics at ultra-wideband sensing considers in the paper. The aim of this work is the frequency dependence investigation of an object’s eigen polarization state. The two-dipole model acts as the studied object. Polarization characteristics obtained via the introduction and consideration of the polarization scattering matrix for the chosen math model. Based on obtained polarization parameters their frequency dependencies calculated and illustrated in the form of plots. The results show the presence of an object’s polarization state dependence from the radiation frequency.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886620","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
TCSET 2020 Cover Page TCSET 2020封面
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/tcset49122.2020.9088546
{"title":"TCSET 2020 Cover Page","authors":"","doi":"10.1109/tcset49122.2020.9088546","DOIUrl":"https://doi.org/10.1109/tcset49122.2020.9088546","url":null,"abstract":"","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156331","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
Impact Research of Sound Vibration Frequencies on the Laser Beam Response of the Most Common Ukrainian Glass 声振动频率对最常见乌克兰玻璃激光束响应的影响研究
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI: 10.1109/TCSET49122.2020.235425
Dudykevych V.B, Opirskyy I. R., Haraniuk P. I., Rakobovchuk L. M., Dzianyi N. R.
{"title":"Impact Research of Sound Vibration Frequencies on the Laser Beam Response of the Most Common Ukrainian Glass","authors":"Dudykevych V.B, Opirskyy I. R., Haraniuk P. I., Rakobovchuk L. M., Dzianyi N. R.","doi":"10.1109/TCSET49122.2020.235425","DOIUrl":"https://doi.org/10.1109/TCSET49122.2020.235425","url":null,"abstract":"The elemental composition of glass samples on an X-ray fluorescence analyzer and radiation transmission spectrograms depending on the laser wavelength has been considered in the article. Power reflection coefficients of the glass samples at different vibrational frequencies have been discovered. The model of window glass oscillation under the action of an acoustic wave has been identified. The oscillation amplitude of window glass under the action of an acoustic wave has been estimated. It has been established that the oscillation amplitude of the window glass increases depending on the type and thickness of the glass.","PeriodicalId":389689,"journal":{"name":"2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085757","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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