Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477531
V. Mykhalskyi, V. Sobolev, V. Chopyk, S. Polishchuk, Ivan Shapoval
The aim of the paper is to study the torque control algorithms for an energy generation system based on a double-inverter-fed wound-rotor induction machine. A mathematical model of an energy generation system is constructed, on the basis of which a mathematical simulation has been performed. Two algorithms for torque control are investigated: orthogonal control and control with loss minimization. The controllers have been developed which ensured the torque and flux tracking when the electric machine is excited from the rotor side. The study confirms that the considered vector control algorithm performs torque tracking with a minimum error at a constant air gap flux. The redundancy of the control coordinates in the construction of the control algorithm is used to reduce power losses.
{"title":"Vector Control for Double-Inverter-Fed Wound-Rotor Induction Machine","authors":"V. Mykhalskyi, V. Sobolev, V. Chopyk, S. Polishchuk, Ivan Shapoval","doi":"10.1109/ELNANO.2018.8477531","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477531","url":null,"abstract":"The aim of the paper is to study the torque control algorithms for an energy generation system based on a double-inverter-fed wound-rotor induction machine. A mathematical model of an energy generation system is constructed, on the basis of which a mathematical simulation has been performed. Two algorithms for torque control are investigated: orthogonal control and control with loss minimization. The controllers have been developed which ensured the torque and flux tracking when the electric machine is excited from the rotor side. The study confirms that the considered vector control algorithm performs torque tracking with a minimum error at a constant air gap flux. The redundancy of the control coordinates in the construction of the control algorithm is used to reduce power losses.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121541494","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477484
M. Zablodskiy, V. Savchenko, O. Sinyavsky, V. Pliuhin
This paper presents the results of research aimed at determining the effect of an oscillating magnetic field on water substrates of various biomass wastes. The methodology of modeling physical processes in substrates is presented. The results of experimental studies of water substrates in the magnetic field of permanent magnets on a laboratory installation are given. The recommendations on the use of the presented research results are formed.
{"title":"Interactions Between Magnetic Field and Biological Objects of Plant Origin","authors":"M. Zablodskiy, V. Savchenko, O. Sinyavsky, V. Pliuhin","doi":"10.1109/ELNANO.2018.8477484","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477484","url":null,"abstract":"This paper presents the results of research aimed at determining the effect of an oscillating magnetic field on water substrates of various biomass wastes. The methodology of modeling physical processes in substrates is presented. The results of experimental studies of water substrates in the magnetic field of permanent magnets on a laboratory installation are given. The recommendations on the use of the presented research results are formed.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122476202","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477511
R. Tomashevskyi
In the paper, the rationale and development of a noninvasive information technology for covariance analysis and control of transient regimes in the patient's biophysical state during the ultrafiltration procedure is given. The analysis of the standard procedure of ultrafiltration during programmed hemodialysis was carried out. Based on the biophysical model of the hydration level of the patient, the specific phases of the ultrafiltration procedure are determined. A comparative analysis of hematocrit level at different phases of the procedure and signals of bioimpedancometry was carried out. To analyze the bioimpedancometry signals at different frequencies, a covariance analysis was used. The use of F-statistics as an information parameter allows non-invasive control of the phase change of the ultrafiltration procedure and the patient's transition to the precritical state. The approach proposed in the work allows us to distinguish the trends of the random bioimpedancometry signal and to monitor the course of the ultrafiltration procedure using the specified decision-making risks.
{"title":"Covariance Analysis of Bioimpedance Signals for Information Support of Ultrafiltration Procedure","authors":"R. Tomashevskyi","doi":"10.1109/ELNANO.2018.8477511","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477511","url":null,"abstract":"In the paper, the rationale and development of a noninvasive information technology for covariance analysis and control of transient regimes in the patient's biophysical state during the ultrafiltration procedure is given. The analysis of the standard procedure of ultrafiltration during programmed hemodialysis was carried out. Based on the biophysical model of the hydration level of the patient, the specific phases of the ultrafiltration procedure are determined. A comparative analysis of hematocrit level at different phases of the procedure and signals of bioimpedancometry was carried out. To analyze the bioimpedancometry signals at different frequencies, a covariance analysis was used. The use of F-statistics as an information parameter allows non-invasive control of the phase change of the ultrafiltration procedure and the patient's transition to the precritical state. The approach proposed in the work allows us to distinguish the trends of the random bioimpedancometry signal and to monitor the course of the ultrafiltration procedure using the specified decision-making risks.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133993630","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477530
Vitaliy Dorosh, M. Komar, A. Sachenko, V. Golovko
The approach to parallelization of the deep neural network by dividing the training set into sub-set and training each sub-set into a separate copy of the model of the neural network, which allows to significantly reduce the training time and increase the reliability of the detection of attacks, is proposed. The structure of the neural network in the framework Caffe is developed, and experimental studies have been carried out that showed an increase in the reliability of the detection of attacks in comparison with known approaches.
{"title":"Parallel Deep Neural Network for Detecting Computer Attacks in Information Telecommunication Systems","authors":"Vitaliy Dorosh, M. Komar, A. Sachenko, V. Golovko","doi":"10.1109/ELNANO.2018.8477530","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477530","url":null,"abstract":"The approach to parallelization of the deep neural network by dividing the training set into sub-set and training each sub-set into a separate copy of the model of the neural network, which allows to significantly reduce the training time and increase the reliability of the detection of attacks, is proposed. The structure of the neural network in the framework Caffe is developed, and experimental studies have been carried out that showed an increase in the reliability of the detection of attacks in comparison with known approaches.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132234123","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477566
O. Pyvovar, O. Polikarovskykh
The reasons for selecting the Rucklidge generator for constructing a multichannel radio communication system with a high level of security are considered. On the basis of simulation the research of the operation of the generator in a scheme of unidirectional synchronization was conducted. The simulation of the system of maksed communication is conducted using chaotic signals of Rucklidge generators based on the phenomenon of complete chaotic synchronization.
{"title":"A System of Secure Communication with Chaos Masking Based on Rucklidge Generators","authors":"O. Pyvovar, O. Polikarovskykh","doi":"10.1109/ELNANO.2018.8477566","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477566","url":null,"abstract":"The reasons for selecting the Rucklidge generator for constructing a multichannel radio communication system with a high level of security are considered. On the basis of simulation the research of the operation of the generator in a scheme of unidirectional synchronization was conducted. The simulation of the system of maksed communication is conducted using chaotic signals of Rucklidge generators based on the phenomenon of complete chaotic synchronization.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316816","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477492
I. Kovtun, J. Boiko, S. Petrashchuk
The paper represents identification of natural frequency and form of oscillation for the main construction elements of the electronic packages such as printed circuit boards, walls of the cases and other bearing parts subjected to vibration and shocks during operation. The current study is focused on using elements of plate bending theory, in which main boards, case walls and other planar rectangular structures are considered as equivalent homogeneous plates, in order to estimate their natural frequencies and forms of free cross oscillations and hence to identify their possible resonances with purpose to avoid them and correspondent dangerous operational modes. The significant attention was paid to the experimental research of dynamic characteristics conducted by using experimental setup created on the base of reverse and direct piezoelectric effects and also the shaker with vibration test cross appliance, representing results in form of Chladni figures and amplitude frequency response.
{"title":"Identification of Natural Frequency and form of Oscillation for Electronic Packages Subjected to Vibration","authors":"I. Kovtun, J. Boiko, S. Petrashchuk","doi":"10.1109/ELNANO.2018.8477492","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477492","url":null,"abstract":"The paper represents identification of natural frequency and form of oscillation for the main construction elements of the electronic packages such as printed circuit boards, walls of the cases and other bearing parts subjected to vibration and shocks during operation. The current study is focused on using elements of plate bending theory, in which main boards, case walls and other planar rectangular structures are considered as equivalent homogeneous plates, in order to estimate their natural frequencies and forms of free cross oscillations and hence to identify their possible resonances with purpose to avoid them and correspondent dangerous operational modes. The significant attention was paid to the experimental research of dynamic characteristics conducted by using experimental setup created on the base of reverse and direct piezoelectric effects and also the shaker with vibration test cross appliance, representing results in form of Chladni figures and amplitude frequency response.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114369922","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477529
D. Slobodianiuk, O. Sulymenko, O. Prokopenko
We analyze magnetization dynamics in a system of two coupled THz-frequency Josephson-like spin Hall oscillators based on a layered structure consisting of a current-driven platinum layer and a layer of an antiferromagnet with easy-plane anisotropy. The THz-frequency signal from the antiferromagnet is received through the inverse spin-Hall effect in the platinum layer and we show that it can be used for the mutual coupling of two spin Hall oscillators leading to the improvement of the overall device performance.
{"title":"Dynamics of Two Coupled Antiferromagnetic Terahertz-Frequency Josephson-Like Oscillators Driven by a Spin Current","authors":"D. Slobodianiuk, O. Sulymenko, O. Prokopenko","doi":"10.1109/ELNANO.2018.8477529","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477529","url":null,"abstract":"We analyze magnetization dynamics in a system of two coupled THz-frequency Josephson-like spin Hall oscillators based on a layered structure consisting of a current-driven platinum layer and a layer of an antiferromagnet with easy-plane anisotropy. The THz-frequency signal from the antiferromagnet is received through the inverse spin-Hall effect in the platinum layer and we show that it can be used for the mutual coupling of two spin Hall oscillators leading to the improvement of the overall device performance.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699273","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477526
S. Miroshnychenko, A. Nevgasymyy, S. Senchurov, O. Motolyga, Khrystyna Faryna
IMASIM software was used to generate sets of X-ray projections for quality control in digital tomosynthesis. Corresponding projections of a polymethylmethacrylate(PMMA) phantom with the same size were taken using x-ray tomosynthesis imaging equipment. A specially designed fiduciary marker bead phantom was used to measure the relative positions of imaging system elements. A good correspondence was found between real and simulated projections and reconstructed slices. The ability to create simulated projections with predefined imperfections gives valuable benefits to analysis of overall tomosynthesis performance.
{"title":"Simulated Phantom Projections for Reconstruction Quality Control in Digital Tomosynthesis","authors":"S. Miroshnychenko, A. Nevgasymyy, S. Senchurov, O. Motolyga, Khrystyna Faryna","doi":"10.1109/ELNANO.2018.8477526","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477526","url":null,"abstract":"IMASIM software was used to generate sets of X-ray projections for quality control in digital tomosynthesis. Corresponding projections of a polymethylmethacrylate(PMMA) phantom with the same size were taken using x-ray tomosynthesis imaging equipment. A specially designed fiduciary marker bead phantom was used to measure the relative positions of imaging system elements. A good correspondence was found between real and simulated projections and reconstructed slices. The ability to create simulated projections with predefined imperfections gives valuable benefits to analysis of overall tomosynthesis performance.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128581021","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477540
V. Yachin, T. Zinenko, S. Mizrakhy, I. Nesterov, P. Nesterov, A. Lukash
Resonant scattering of the plane electromagnetic wave from the crossed strip gratings situated in the free space is studied. The strips of the gratings are made of PEC-like material of nonzero thickness. When the crossing angle of this structure changes from 90° to 0° the frequency dependences of the scattered powers reveal the resonances, the frequencies of which depend on the crossing angle of the gratings in a wide frequency range. Experimental investigation of the crossed strip gratings in microwave frequency range shows a good coincidence with the theory based on Integral Functional Method.
{"title":"Mechanically Tunable Microwave Filter Based on Crossed Strip Gratings with Controllable Crossing Angle in Free Space","authors":"V. Yachin, T. Zinenko, S. Mizrakhy, I. Nesterov, P. Nesterov, A. Lukash","doi":"10.1109/ELNANO.2018.8477540","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477540","url":null,"abstract":"Resonant scattering of the plane electromagnetic wave from the crossed strip gratings situated in the free space is studied. The strips of the gratings are made of PEC-like material of nonzero thickness. When the crossing angle of this structure changes from 90° to 0° the frequency dependences of the scattered powers reveal the resonances, the frequencies of which depend on the crossing angle of the gratings in a wide frequency range. Experimental investigation of the crossed strip gratings in microwave frequency range shows a good coincidence with the theory based on Integral Functional Method.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"127 47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124037811","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477516
I. Sahumbaiev, A. Popov, N. Ivanushkina, J. Ramírez, J. Górriz
Over decades Alzheimer's disease (AD) remains without decent cure, and only disease-modifying methods are available. This paper is devoted to the analysis of amyloid-PET images with florbetapir (18F-AV-45) tracer to detect the presence of AD or Mild Cognitive Impairment (MCI). The first part of the article dedicated to image processing pipeline, specifically, spacial normalisation and feature extraction. The second part is devoted to the development of the multiclass classifier with deep learning methods. In particular, deep neural network was developed to distinguish three stages: health control (HC), MCI and AD. After tuning and training a neural network, the final specificity of 78% and sensitivity of 90% has been achieved.
{"title":"Florbetapir Image Analysis for Alzheimer's Disease Diagnosis","authors":"I. Sahumbaiev, A. Popov, N. Ivanushkina, J. Ramírez, J. Górriz","doi":"10.1109/ELNANO.2018.8477516","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477516","url":null,"abstract":"Over decades Alzheimer's disease (AD) remains without decent cure, and only disease-modifying methods are available. This paper is devoted to the analysis of amyloid-PET images with florbetapir (18F-AV-45) tracer to detect the presence of AD or Mild Cognitive Impairment (MCI). The first part of the article dedicated to image processing pipeline, specifically, spacial normalisation and feature extraction. The second part is devoted to the development of the multiclass classifier with deep learning methods. In particular, deep neural network was developed to distinguish three stages: health control (HC), MCI and AD. After tuning and training a neural network, the final specificity of 78% and sensitivity of 90% has been achieved.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110010","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}
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