Andrew Dykyy, Yuriy Vountesmery, S. Mamilov, I. Chaikovsky
{"title":"Photoplethysmographic Waveforms Analysis and Classification","authors":"Andrew Dykyy, Yuriy Vountesmery, S. Mamilov, I. Chaikovsky","doi":"10.1109/ELNANO54667.2022.9927083","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927083","url":null,"abstract":"The work is devoted to the automatic classification of plethysmographic signals. The application of machine learning methods to classify plethysmographic signals has been studied. Combined use of k-means and agglomerative clustering methods for classifying pulse waves according to morphological types is proposed. The methods of signal preprocessing are considered. The optimal combination of features is estimated, and methods for their selection are considered. An automatic pulse wave classifier has been obtained that does not require annotated training samples. The results of a computer experiment on the automatic classification of signals are presented.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133974003","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}
A. Nechyporenko, M. Frohme, V. Alekseeva, V. Gargin, Dmytry Sytnikov, Maryna Hubarenko
{"title":"Deep Learning Based Image Segmentation for Detection of Odontogenic Maxillary Sinusitis","authors":"A. Nechyporenko, M. Frohme, V. Alekseeva, V. Gargin, Dmytry Sytnikov, Maryna Hubarenko","doi":"10.1109/ELNANO54667.2022.9927086","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927086","url":null,"abstract":"The aim of this study is to develop a new approach for Computed Tomography (CT) image segmentation based on Convolutional Neural Network (CNN) for detection of Odontogenic Maxillary Sinusitis (OMS). Our study is based on results of examination of 100 people (320 CT). Using the RadiAnt software, we selected tomographic scans on which the location of the roots of the teeth in the maxillary sinus was clearly visualized. Next step has been split into tasting and training sets (30% and 70%). An image preprocessing techniques have been applied. The architecture of the convolutional neural network U-NET was used for the image segmentation. On its basis 6 models with different values of hyperparameters (such as Batch Size, Epochs, Validation Split) were built and a comparative analysis of the results of the training was done.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134219865","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":"Differentiating of Respiratory Noises Based on Higher Order Spectral Analysis","authors":"H. Porieva, Bogdana Kaliuga, K. Ivanko","doi":"10.1109/ELNANO54667.2022.9927121","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927121","url":null,"abstract":"The paper describes a method for differentiating respiratory noises, such as normal (bronchial and vesicular) and pathological (crepitation, dry and wet rales, noise of pleural friction). The presence of specific pathological noises in the breathing sounds indicates certain diseases. The described method is based on the application of higher-order spectral analysis. The paper indicates the advantages of using such an analysis. Three-dimensional images of the cumulant function of the third order and bispectrum, as well as their contour images were obtained. Based on these images, characteristic features for different types of respiratory sounds were identified and described. These features can be informatively useful for the primary identification of certain pathologies of the human respiratory system.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133499150","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}
S. Miroshnychenko, A. Nevgasymyi, E. Aznakayev, O. Miroshnychenko, D. Aznakayeva
{"title":"Tomosynthesis Equipment of The Chest Organs Using Cathodes on Nanotubes","authors":"S. Miroshnychenko, A. Nevgasymyi, E. Aznakayev, O. Miroshnychenko, D. Aznakayeva","doi":"10.1109/ELNANO54667.2022.9927010","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927010","url":null,"abstract":"The possibility of using X-ray source with cathodes on carbon nanotubes in complexes with high-frame sensor matrix detectors for the implementation of equipment with short-term digital tomosynthesis is considered. It can solve the problem of obtaining the high-definition images of moved organs such as a heart. In this paper were proposed schemes of using cathodes on nanotubes for digital X-ray tomosynthesis.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133644141","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}
L. Chepela, P. Lishchuk, V. Shevchenko, V. Kuryliuk, Elysaveta Polishchuk, A. Kuzmich, P. Teselko, I. Matushko, M. Borovyi
{"title":"Fabrication and Photoacoustic Characterization of Multilayered Structures Based on Porous Silicon","authors":"L. Chepela, P. Lishchuk, V. Shevchenko, V. Kuryliuk, Elysaveta Polishchuk, A. Kuzmich, P. Teselko, I. Matushko, M. Borovyi","doi":"10.1109/ELNANO54667.2022.9927023","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927023","url":null,"abstract":"This paper is devoted to the study of the fabrication conditions on the structural and thermal properties of multilayered porous silicon structures. The samples were prepared by electro-chemical etching of highly-doped monocrystalline silicon wafer. The etching was conducted with/without mechanical mixing of chemical solution. Morphological and structural properties of synthesized structures were investigated by optical and scanning electron microscopy. The experimental thermal conductivity values versus etching conditions were determined by gas-microphone photoacoustic technique in classic configuration. It was found that the process of electrolyte mixing during sample preparation significantly affects its morphological features, and thus improves thermal transport in the structure.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133672096","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}
Valeriy Volosyuk, E. Tserne, M. Peretiatko, Natalііa M. Sydorenko, Anastasiia Klosova, V. Radchenko
{"title":"Algorithm for Microwave Radiation Parameters Estimation at the Output of a Passive Radar Quadratic Detector","authors":"Valeriy Volosyuk, E. Tserne, M. Peretiatko, Natalііa M. Sydorenko, Anastasiia Klosova, V. Radchenko","doi":"10.1109/ELNANO54667.2022.9926985","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9926985","url":null,"abstract":"The problem of finding the algorithm for estimating the spectral power density (SPD) of the input signal of the receiver when observing the signal from the output of the quadratic detector of the receiver is solved. Formulas for calculating the boundary errors in estimating the SPD parameter and the fluctuating sensitivity of a radiometric receiver operating according to the obtained algorithm are obtained. The possibility of using the likelihood functional for stationary Gaussian processes in solving the problem of signal processing after a quadratic detector is substantiated by simulation modelling.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122225627","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}
O. Savvova, G. Voronov, O. Fesenko, O. Smirnova, Kostiantyn Zhukov, O. Pylypenko
{"title":"Using The Electrochemical Etching as A Method for The Preparation of The Titanium Surface to Get Anodic Oxide Films","authors":"O. Savvova, G. Voronov, O. Fesenko, O. Smirnova, Kostiantyn Zhukov, O. Pylypenko","doi":"10.1109/ELNANO54667.2022.9927013","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927013","url":null,"abstract":"The polarization investigations of the anode behavior of titanium in mixed organic-&-aqueous fluoride-containing electrolytes have been carried out. The polarization curves constructed for electrode processes allow us to draw a conclusion that the simultaneous behavior of several processes is possible in the specified electrolytes and these processes include chemical etching of metal due to its interaction with solution components, electrochemical dissolution under polarization conditions and the formation of the oxide film due to the anode oxidation. The prevalence of one or other type of the process in this case is defined by the electrolyte composition and the electric electrolysis parameters. The obtained data serve as a basis for the development of the new method of combined etching that provides the homogenization of the titanium surface with simultaneous elimination of toxic reagents from the process or the reduction of their concentration.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116829052","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":"Adequacy and Robustness Analysis of the Capacitive Moisture Meters' Static Function","authors":"O. Zabolotnyi, V. Zabolotnyi, N. Koshevoy","doi":"10.1109/ELNANO54667.2022.9927011","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927011","url":null,"abstract":"Moisture content takes a special place among food quality factors as a parameter that changes during the processes of storage and processing, and, in many cases, determines consumer properties of different food products. Modern grain moisture meters' uncertainty is restricted to not more than 3 % of relative full scale error. Main task of the research is to receive robust linear static function for the grain moisture meter with four capacitive sensors. Robustness of new static function had been checked with a help of dispersion analysis. It was possible to conclude that values of repeatability and adequacy dispersions for new linear static function are approximately three times smaller, so as F-test values are seven times smaller in comparison with initial static function of a moisture meter, what proves its' better robust properties.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115207696","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":"Methodological Specifics of Nanoindentation of Nanosized Films","authors":"M. Melnichenko, Y. Zhuk, N. Puchko","doi":"10.1109/ELNANO54667.2022.9927091","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927091","url":null,"abstract":"The paper investigates the surface morphology and methodological features of nanoindentation of gold and indium nanosized films using the micro-nano modifier “Micro-nano mod”. The influence of material surface roughness on the image and impression size after nanoindentation is shown. It was found that nanoindentation of indium nanofilms on glass requires an indentation load not exceeding 0.9 cN to correctly determine the impression size. It is demonstrated that during nanoindentation of gold nanofilms on a glass substrate, the shape of the Berkovich indenter impression is not triangular. It is determined that after nanoindentation, the gold nanoparticles are displaced and the impression disappears.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178107","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}
O. Myronchuk, O. Shpylka, S. Zhuk, Yurii Myronchuk
{"title":"Two-Stage Methods for Channel Frequency Response Estimation in OFDM Communication Systems Based on Pilots from Current Received Symbol","authors":"O. Myronchuk, O. Shpylka, S. Zhuk, Yurii Myronchuk","doi":"10.1109/ELNANO54667.2022.9927031","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927031","url":null,"abstract":"this paper describes and analyzes two-stage channel frequency response estimation methods for digital communication systems with OFDM technology based on pilots from current received symbol. Among them two-stage method for estimation of channel frequency response and two-stage method for joint estimation of informational symbols and channel frequency response. Above methods are based on Kalman filter. At the first stage performs processing in forward and backward direction in relation to the data array. At the second stage performs combining the results. The statistical properties of the channel are assumed to be known.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115677151","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}