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.2018.8477491
Anatoliy S. Revko, Roman D. Yershov
The control optimization technique by the rapidity criterion, based on the maximum principle proposed by L.S. Pontryagin, was applied to the differential equations system, which is describes the DC-motor in time domain, and is constructed based on its dynamic model. A quasi-resonant pulsed converter keeps the DC-motor armature voltage stable. An optimal duration of each pulse in control sequence was calculated. Proposed approach allows calculating both the precision motions and rotations of DC-motor, and at the same time, with the highest possible rapidity. Analytical research was confirmed by simulation and experimental results that are agree each other accurate to a few percent. Proposed method allows calculation the optimal motion trajectories for precise magnetic recorders and robotic arms.
{"title":"Control Rapidity Optimization Technique of DC-Motor Driven by Quasi-Resonant Converter Using Pontryagin's Maximum Principle","authors":"Anatoliy S. Revko, Roman D. Yershov","doi":"10.1109/ELNANO.2018.8477491","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477491","url":null,"abstract":"The control optimization technique by the rapidity criterion, based on the maximum principle proposed by L.S. Pontryagin, was applied to the differential equations system, which is describes the DC-motor in time domain, and is constructed based on its dynamic model. A quasi-resonant pulsed converter keeps the DC-motor armature voltage stable. An optimal duration of each pulse in control sequence was calculated. Proposed approach allows calculating both the precision motions and rotations of DC-motor, and at the same time, with the highest possible rapidity. Analytical research was confirmed by simulation and experimental results that are agree each other accurate to a few percent. Proposed method allows calculation the optimal motion trajectories for precise magnetic recorders and robotic arms.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"266 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":"124334666","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.2018.8477500
O. Kutova, T. Borodinova, M. Dusheiko, B. Loboda, T. Obukhova, S. V. Tkach
In the paper influence of Pt nanoparticles in porous silicon on FET sensor performance is investigated. It is shown that combination of porous silicon with metal nanoparticles decreases response time and increases sensitivity of hydrogen peroxide sensor up to 8 mkA/%.
{"title":"Influence of Pt Nanoparticles in Porous Silicon on Performance of MISFET Sensor","authors":"O. Kutova, T. Borodinova, M. Dusheiko, B. Loboda, T. Obukhova, S. V. Tkach","doi":"10.1109/ELNANO.2018.8477500","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477500","url":null,"abstract":"In the paper influence of Pt nanoparticles in porous silicon on FET sensor performance is investigated. It is shown that combination of porous silicon with metal nanoparticles decreases response time and increases sensitivity of hydrogen peroxide sensor up to 8 mkA/%.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"71 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":"134155704","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}
Pub Date : 2018-04-01DOI: 10.1109/ELNANO.2018.8477493
Jacob A. Allison, S. Lyshevski
Swarm autonomy, coordination and surveillance capabilities for multi-mission multi-functional aerial systems depend on distributed control, sensing and data acquisition. Recently emerged multi-degree-of-freedom microelectronic and MEMS acoustic, electromagnetic, image and inertial sensors empower autonomy, perception of reality, computer vision, augmented reality, situational awareness and other mission-critical tasks. Open problems in system design, complexity and software-hardware co-design motivate authors to focus on fundamental studies and technology developments in sensing and information fusion. Networking and data fusion from multi-mode navigation and image sensors are studied. We examine control and autonomy capabilities emulating tasks and mission environments. The distributed algorithms empower individual-and swarm aerial systems. We report solutions developed in Python, C and MATLAB supporting data processing, data visualization, interactions, interfacing and physical-and-virtual reality. The descriptive reality and information management are demonstrated by performing low-fidelity studies for DJI Phantom with heterogeneous sensors. Augmentation of control and tactical autonomy are studied.
{"title":"Aerial Systems with Micro Sensors: Data Acquisition and Descriptive Reality in Physical and Virtual Environments","authors":"Jacob A. Allison, S. Lyshevski","doi":"10.1109/ELNANO.2018.8477493","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477493","url":null,"abstract":"Swarm autonomy, coordination and surveillance capabilities for multi-mission multi-functional aerial systems depend on distributed control, sensing and data acquisition. Recently emerged multi-degree-of-freedom microelectronic and MEMS acoustic, electromagnetic, image and inertial sensors empower autonomy, perception of reality, computer vision, augmented reality, situational awareness and other mission-critical tasks. Open problems in system design, complexity and software-hardware co-design motivate authors to focus on fundamental studies and technology developments in sensing and information fusion. Networking and data fusion from multi-mode navigation and image sensors are studied. We examine control and autonomy capabilities emulating tasks and mission environments. The distributed algorithms empower individual-and swarm aerial systems. We report solutions developed in Python, C and MATLAB supporting data processing, data visualization, interactions, interfacing and physical-and-virtual reality. The descriptive reality and information management are demonstrated by performing low-fidelity studies for DJI Phantom with heterogeneous sensors. Augmentation of control and tactical autonomy are studied.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"102 Suppl 1 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":"132937134","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.2018.8477548
Andre Felicio de Sousa Silva, S. P. Pimentel, E. G. Marra
This paper presents a small-signal model of the single-phase asymmetrical cascaded h-bridge multilevel inverter (ACHMI), mainly related to several applications like voltage/current controllers design, power factor control and active power filter, related or not to photovoltaic (PV) systems. The multilevel inverter considered in this work has the asymmetrical configuration, and its individual dc-link voltages are scaled by the factor (1:2:6:…), which guarantee a low Total Harmonic Distortion (THD) in the output voltage. The proposed small-signal model is presented step-by-step considering a case of study related to 3 h-bridge series connected in order to compose the asymmetrical cascaded multilevel inverter topology. An average model (‘large-signal model’) is also presented and both models are discussed in terms of linearization and disturbance rejection around an operational point. A computational model has been developed and tested in MATLAB/SIMULINK environment. Simulation results are presented and discussed in terms of model validation. Tracking performance from the small-signal model was pursued and some conclusions are also presented. Briefly, the model performance validated the approach method of modeling and its capability to emulate the dynamical behavior of the asymmetrical cascaded topology.
{"title":"Small-Signal Modeling of the Single-Phase Asymmetrical Cascaded Multilevel Inverter","authors":"Andre Felicio de Sousa Silva, S. P. Pimentel, E. G. Marra","doi":"10.1109/ELNANO.2018.8477548","DOIUrl":"https://doi.org/10.1109/ELNANO.2018.8477548","url":null,"abstract":"This paper presents a small-signal model of the single-phase asymmetrical cascaded h-bridge multilevel inverter (ACHMI), mainly related to several applications like voltage/current controllers design, power factor control and active power filter, related or not to photovoltaic (PV) systems. The multilevel inverter considered in this work has the asymmetrical configuration, and its individual dc-link voltages are scaled by the factor (1:2:6:…), which guarantee a low Total Harmonic Distortion (THD) in the output voltage. The proposed small-signal model is presented step-by-step considering a case of study related to 3 h-bridge series connected in order to compose the asymmetrical cascaded multilevel inverter topology. An average model (‘large-signal model’) is also presented and both models are discussed in terms of linearization and disturbance rejection around an operational point. A computational model has been developed and tested in MATLAB/SIMULINK environment. Simulation results are presented and discussed in terms of model validation. Tracking performance from the small-signal model was pursued and some conclusions are also presented. Briefly, the model performance validated the approach method of modeling and its capability to emulate the dynamical behavior of the asymmetrical cascaded topology.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"46 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":"116704310","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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