Pub Date : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923227
T. Bukina, M. Khramova
The article discusses the prevalence of neuromyths among future teachers of mathematics, computer science and physics. A brief description of the considered problem in world studies is given. The results of a survey conducted among students of six Russian universities are described.
{"title":"Prevalence of neuromyths among pre-service teachers","authors":"T. Bukina, M. Khramova","doi":"10.1109/DCNA56428.2022.9923227","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923227","url":null,"abstract":"The article discusses the prevalence of neuromyths among future teachers of mathematics, computer science and physics. A brief description of the considered problem in world studies is given. The results of a survey conducted among students of six Russian universities are described.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121811459","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923119
Andrey Chernov, Yury Ivanskiy, I. Len, N. Amelina
Complex network structures arise in different practical areas such as telecommunication, production chains, transportation, economics etc. Network load balancing is useful for efficient system operation. Congestion avoidance allows not to loose packets and to minimize package delivery time. Another problem is resource distribution between different priority packets. In this paper Local Voting Protocol (LVP) for network load balancing with different priority traffic is proposed. Proposed approach is illustrated by numerical examples.
{"title":"Network Traffic Load Balancing Protocol for Different Priority Traffic","authors":"Andrey Chernov, Yury Ivanskiy, I. Len, N. Amelina","doi":"10.1109/DCNA56428.2022.9923119","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923119","url":null,"abstract":"Complex network structures arise in different practical areas such as telecommunication, production chains, transportation, economics etc. Network load balancing is useful for efficient system operation. Congestion avoidance allows not to loose packets and to minimize package delivery time. Another problem is resource distribution between different priority packets. In this paper Local Voting Protocol (LVP) for network load balancing with different priority traffic is proposed. Proposed approach is illustrated by numerical examples.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"444 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122185884","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923241
V. Khorev
In this work we develop the method of determining the moment of time of the beginning of the act of the imagination of movement by the analysis of the electroencephalograms according to the data that were obtained during experimental research when subjects are performing acts of imaginary movement. In the course of the experiment, we gained the electrical signals of the brain activity. The signals that have undergone preprocessing and filtration were used to test the method of determining the beginning of movement. To demonstrate the abilities of the method, the dependencies of the average power in the alpha band and the topograms were built. The obtained algorithms were used to detect and identify patterns of neural activity that occur in the imaginary movements, as well as their features, that could be used for the exoskeleton control.
{"title":"Brain activity diagnostics system for exoskeleton control","authors":"V. Khorev","doi":"10.1109/DCNA56428.2022.9923241","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923241","url":null,"abstract":"In this work we develop the method of determining the moment of time of the beginning of the act of the imagination of movement by the analysis of the electroencephalograms according to the data that were obtained during experimental research when subjects are performing acts of imaginary movement. In the course of the experiment, we gained the electrical signals of the brain activity. The signals that have undergone preprocessing and filtration were used to test the method of determining the beginning of movement. To demonstrate the abilities of the method, the dependencies of the average power in the alpha band and the topograms were built. The obtained algorithms were used to detect and identify patterns of neural activity that occur in the imaginary movements, as well as their features, that could be used for the exoskeleton control.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122401323","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923292
Nadezhda Shanarova, M. Pronina, M. Lipkovich, J. Kropotov
Schizophrenia is a major psychiatric disorder which significantly reduces the quality of life. Early treatment is extremely important in order to mitigate the long-term negative effects. Because of that, reliable diagnosis of schizophrenia is of big interest. In this paper, machine learning based diagnostics of schizophrenia is designed. Classification models are applied to event-related potentials (ERPs) calculated from electroencephalo-gram (EEG) records of patients and healthy subjects performing modification of the visual cued Go-NoGo task. The sample consisted of 200 adult individuals, with an age ranging between 18 and 50 years. In order to apply machine learning models various features are extracted from ERPs. Process of feature extraction is parametrized through a special procedure and parameters of this procedure are selected through a grid-search technique along with model hyperparameters. Feature extraction is followed by Sequential Feature Selection transformation in order to prevent overtitting and reduce computational complexity. Support vector machines and Random Forest models are trained on the resulting feature set. Sensitivity and specificity of the best model are 91% and 91.7% respectively.
{"title":"Machine learning based diagnostics of schizophrenia patients","authors":"Nadezhda Shanarova, M. Pronina, M. Lipkovich, J. Kropotov","doi":"10.1109/DCNA56428.2022.9923292","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923292","url":null,"abstract":"Schizophrenia is a major psychiatric disorder which significantly reduces the quality of life. Early treatment is extremely important in order to mitigate the long-term negative effects. Because of that, reliable diagnosis of schizophrenia is of big interest. In this paper, machine learning based diagnostics of schizophrenia is designed. Classification models are applied to event-related potentials (ERPs) calculated from electroencephalo-gram (EEG) records of patients and healthy subjects performing modification of the visual cued Go-NoGo task. The sample consisted of 200 adult individuals, with an age ranging between 18 and 50 years. In order to apply machine learning models various features are extracted from ERPs. Process of feature extraction is parametrized through a special procedure and parameters of this procedure are selected through a grid-search technique along with model hyperparameters. Feature extraction is followed by Sequential Feature Selection transformation in order to prevent overtitting and reduce computational complexity. Support vector machines and Random Forest models are trained on the resulting feature set. Sensitivity and specificity of the best model are 91% and 91.7% respectively.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122519047","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923309
V. Avilov, Z. Vakulov, Aleksandr Fedotov, R. Tominov, N. Polupanov, V. Smirnov
The article shows the fabrication and study of 4×4 neuromorphic crossbar array Ti/TiO2/Cu. Memristors demonstrated resistive switching without any additional forming operations. The crossbar array exhibits multilevel switching at different Uset = 1.0 V, 1.5 V, and 2.0 V. The results obtained can be used in the fabrication of a forming-free titanium oxide neuromorphic crossbar array for robotics and artificial intelligence systems.
{"title":"Forming-free titanium oxide neuromorphic crossbar array for robotics and AI systems","authors":"V. Avilov, Z. Vakulov, Aleksandr Fedotov, R. Tominov, N. Polupanov, V. Smirnov","doi":"10.1109/DCNA56428.2022.9923309","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923309","url":null,"abstract":"The article shows the fabrication and study of 4×4 neuromorphic crossbar array Ti/TiO2/Cu. Memristors demonstrated resistive switching without any additional forming operations. The crossbar array exhibits multilevel switching at different Uset = 1.0 V, 1.5 V, and 2.0 V. The results obtained can be used in the fabrication of a forming-free titanium oxide neuromorphic crossbar array for robotics and artificial intelligence systems.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869508","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923226
D. Kulminskiy, Yurii M. Ishbulatov, A. Kurbako
During the analysis of experimental records of intracranial EEGs of rats in sleep, wakefulness and after sound exposure, we have shown that statistical measures characterizing the features of individual and collective dynamics of the electrical activity of the brain in the δ-frequency range make it possible to classify the state of the animal. The factor determining such changes in EEGs is a change in the rate of cerebral fluid drainage, which is confirmed, in particular, by the similarity of the properties of low-frequency electrical activity of the brain during sleep and after auditory exposure, in contrast to the state of wakefulness.
{"title":"Changes in Statistical Measures of Cross-Recurrence Quantification Analysis of EEG after Sound Exposure","authors":"D. Kulminskiy, Yurii M. Ishbulatov, A. Kurbako","doi":"10.1109/DCNA56428.2022.9923226","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923226","url":null,"abstract":"During the analysis of experimental records of intracranial EEGs of rats in sleep, wakefulness and after sound exposure, we have shown that statistical measures characterizing the features of individual and collective dynamics of the electrical activity of the brain in the δ-frequency range make it possible to classify the state of the animal. The factor determining such changes in EEGs is a change in the rate of cerebral fluid drainage, which is confirmed, in particular, by the similarity of the properties of low-frequency electrical activity of the brain during sleep and after auditory exposure, in contrast to the state of wakefulness.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130573473","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923238
B. Brzhozovskii, V. Martynov, E. Zinina, S. Permyakov
The results of the process stability analysis of low-temperature plasma treatment are presented. It has been established that the stability loss can be monitored by the results of observing the behavior of the plasma cloud glow intensity signal.
{"title":"Analysis of the low-temperature plasma treatment stability","authors":"B. Brzhozovskii, V. Martynov, E. Zinina, S. Permyakov","doi":"10.1109/DCNA56428.2022.9923238","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923238","url":null,"abstract":"The results of the process stability analysis of low-temperature plasma treatment are presented. It has been established that the stability loss can be monitored by the results of observing the behavior of the plasma cloud glow intensity signal.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115890751","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923211
V. Antipov
This paper describes the results of developing control methods for an active exoskeleton for rehabilitation of human upper limb motor activity. The experimental setup, real-time software implementation of the control system, and also the developed software environment for stimulation of the subject during the neurophysiological experiment are described. The research object of the above system is the processes of activation of brain areas in terms of analysis of bioelectrical electroencephalographic signals registered during a motor activity, suitable for use in the tasks of motor rehabilitation. The purpose of this work is to develop a hardware-software part of the experiment to study real-time algorithms for control of the upper limb exoskeleton for rehabilitation and education tasks using ”brain-computer” interfaces.
{"title":"Upper limb exoskeleton for neurorehabilitation with control via brain-computer interface","authors":"V. Antipov","doi":"10.1109/DCNA56428.2022.9923211","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923211","url":null,"abstract":"This paper describes the results of developing control methods for an active exoskeleton for rehabilitation of human upper limb motor activity. The experimental setup, real-time software implementation of the control system, and also the developed software environment for stimulation of the subject during the neurophysiological experiment are described. The research object of the above system is the processes of activation of brain areas in terms of analysis of bioelectrical electroencephalographic signals registered during a motor activity, suitable for use in the tasks of motor rehabilitation. The purpose of this work is to develop a hardware-software part of the experiment to study real-time algorithms for control of the upper limb exoskeleton for rehabilitation and education tasks using ”brain-computer” interfaces.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128521158","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923310
A. Grishchenko, C. Rijn, I. Sysoev
Here we study two different approaches to statistical evaluation of transfer entropy estimates in application to study of spike-wave discharges (SWDs), the main encephalographic manifestation of absence epilepsy, registered in local field potentials of WAG/Rij rats (genetic models). The first approach is to compare distributions of the estimators for baseline and pathological activity using traditional measures like t-test with additional corrections for multiple testing. The second approach is to make surrogate data and test whether the estimators achieved from real data differ from those achieved from surrogate data. The investigation is done based on the series simulated using simple oscillatory models of epileptic activity.
{"title":"Testing approaches to statistical evaluation of connectivity estimates in epileptic brain based on simple oscillatory models","authors":"A. Grishchenko, C. Rijn, I. Sysoev","doi":"10.1109/DCNA56428.2022.9923310","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923310","url":null,"abstract":"Here we study two different approaches to statistical evaluation of transfer entropy estimates in application to study of spike-wave discharges (SWDs), the main encephalographic manifestation of absence epilepsy, registered in local field potentials of WAG/Rij rats (genetic models). The first approach is to compare distributions of the estimators for baseline and pathological activity using traditional measures like t-test with additional corrections for multiple testing. The second approach is to make surrogate data and test whether the estimators achieved from real data differ from those achieved from surrogate data. The investigation is done based on the series simulated using simple oscillatory models of epileptic activity.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114803310","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 : 2022-09-14DOI: 10.1109/DCNA56428.2022.9923062
Kovalev Alexander Anatolevich, Zaitsev Anatoly Alexandrovich, Kamyshov Gleb Vladimirovich
In order to form a healthy lifestyle and prevent non-communicable diseases, the issue of personification of physical activity becomes more and more relevant. The article describes the process of developing an index of optimal physical activity, which is different: personification, dynamic change over time, normalization (from 0 to 100) and we have four zones for assessing the physical activity of a person. The development of an index of optimal physical activity is the development of a methodology for optimal control of human motor activity. The index is calculated based on the heart rate (pulse).
{"title":"Development of the index of optimal physical activity","authors":"Kovalev Alexander Anatolevich, Zaitsev Anatoly Alexandrovich, Kamyshov Gleb Vladimirovich","doi":"10.1109/DCNA56428.2022.9923062","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923062","url":null,"abstract":"In order to form a healthy lifestyle and prevent non-communicable diseases, the issue of personification of physical activity becomes more and more relevant. The article describes the process of developing an index of optimal physical activity, which is different: personification, dynamic change over time, normalization (from 0 to 100) and we have four zones for assessing the physical activity of a person. The development of an index of optimal physical activity is the development of a methodology for optimal control of human motor activity. The index is calculated based on the heart rate (pulse).","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123007324","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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