2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)最新文献_第8页

Complex dynamics and applications of memristive devices and systems 忆阻装置和系统的复杂动力学和应用

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923186

A. Mikhaylov

引用次数: 1

Development of Visual Analytics of Monitoring Results Using Augmented Reality Tools Based on the IIoT (Industrial Internet of Things) Platform 基于IIoT(工业物联网)平台的增强现实工具监测结果可视化分析开发

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923089

O. V. Ushakova, V. Martynov, M. Brovkova, O. Torgashova, A.S. Bolshakov, A. Kamalov

引用次数: 1

CPG-based control of robotic fish by setting macro-commands with transient parameters 基于cpg的机器鱼瞬态参数宏指令控制

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923248

I. Kastalskiy

引用次数: 1

DCNA 2022 Cover Page DCNA 2022封面

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/dcna56428.2022.9923085

引用次数: 0

Variable asymmetric morphological profile filter for roughness analysis 用于粗糙度分析的可变非对称形态轮廓滤波器

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923149

O. V. Zakharov, T. Ivanova, K. Pugin

{"title":"Variable asymmetric morphological profile filter for roughness analysis","authors":"O. V. Zakharov, T. Ivanova, K. Pugin","doi":"10.1109/DCNA56428.2022.9923149","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923149","url":null,"abstract":"Morphological profile filters effectively complement linear and robust Gaussian regression filters in roughness analysis. The advantages of morphological filters include simple elimination of edge effects and no need to exclude a form component from the profile in advance. The standard ISO 16610-41:2015, morphological profile filter is nonlinear and naturally robust. Therefore, it can be used to analyze multifunctional surfaces, for example, after honing. However, due to the nonlinearity of the filter, the obtained result strongly depends on the selected value of a nesting index and cannot always be compared with other filtering methods. The alternating symmetric filter according to ISO 16610-49:2015 provides additional tuning options. By sequentially combine openings and closings operations, it is possible to obtain different degrees of suppression of profile valleys and peaks. The most promising would be asymmetric morphological filter, which uses different nesting indexes for combinations of opening (O) and closing (C) operations. The present paper investigates the influence of the nesting index on the height roughness parameters. For this purpose, profile with preferential depressions after honing was analyzed. It was found that only two combinations of alternating morphological filter give different results, exhausting the variety of morphological combinations of opening and closing. In this case, the degree of suppression of valleys and peaks depends on the form of the primary profile. The filter m = C(O) proved to be the most effective. At that, a smaller nesting index should be taken at first, and then a larger one.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"95 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":"127439803","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

Training Artificial Neural Network to Classify Correct and Erroneous Interpretations of Visual Stimuli before Behavioral Response 训练人工神经网络在行为反应前对视觉刺激的正确和错误解释进行分类

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923233

Alexander Kuc, Alisa Batmanova, V. Maksimenko

引用次数: 0

Switching between electronic and ionic-driven synaptic functionality in non-volatile memristors 非易失性忆阻器中电子与离子驱动突触功能的切换

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923063

N. Andreeva, E. Ryndin, V. Luchinin, D.C. Mazing

{"title":"Switching between electronic and ionic-driven synaptic functionality in non-volatile memristors","authors":"N. Andreeva, E. Ryndin, V. Luchinin, D.C. Mazing","doi":"10.1109/DCNA56428.2022.9923063","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923063","url":null,"abstract":"The observed multilevel resistive switching in non-volatile $text{T}text{i}text{O}_{2}/text{A}1_{2}text{O}_{3}$ memristors strongly correlates with the structure and properties of the functional metal-oxide layers that form this memristive composition. The structure of the 30 nm-thick TiO2 layer drives the physical mechanism underlying the non-volatile resistive switching, which can be changed from electronic to ionic, enabling the synaptic behavior emulation. When the resistive switching mechanism is induced by electronic processes, the resistance state of $text{T}text{i}text{O}_{2}/text{A}1_{2}text{O}_{3}$ structures can be electrically tuned over seven orders of magnitude. In this case, the range of non-volatile resistance tuning is mainly determined by properties of 5 nm-thick $text{A}1_{2}text{O}_{3}$ layer, specifically by electronic transport mechanism associated with hopping via trap states in the band gap. In this paper, based on the results of local electrical property investigation of $text{T}text{i}text{O}_{2}$ layer of bilayer structures carried out using conductive atomic force microscopy and combined with I–V curve measurements, we experimentally prove that the necessary condition for the implementation of the resistive switching mechanism driven by electronic processes is a formation of p-n junction between n-type $text{A}1_{2}text{O}_{3}$ layer and p-type $text{T}text{i}text{O}_{2}$ layer.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"171 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":"122317870","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

The vOICe Visual-Auditory Sensory Substitution Technology in the Depth Perception Task 深度感知任务中的语音视-听感觉替代技术

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923163

A. Butorova, Aigerim A. Naizagarinova, Dmitriy A. Tarasov, A. Sergeev

{"title":"The vOICe Visual-Auditory Sensory Substitution Technology in the Depth Perception Task","authors":"A. Butorova, Aigerim A. Naizagarinova, Dmitriy A. Tarasov, A. Sergeev","doi":"10.1109/DCNA56428.2022.9923163","DOIUrl":"https://doi.org/10.1109/DCNA56428.2022.9923163","url":null,"abstract":"Sensory substitution represents an opportunity to experience visual-like perception for the visually impaired people. However, the effects of sensory substitution perception, and, in particular, the depth perception, are less known. The study aimed to evaluate the influence of one of the monocular depth cues-linear perspective, on the accuracy of object localization using The vOICe visual-auditory sensory substitution technology. 32 sighted volunteers, who were blindfolded during the experiment, participated in the study. The sample was divided into 2 groups, one of which used a linear perspective in the form of vertical stripes as an additional depth cue. In each of the two groups, positive dynamics in spatial localization accuracy was observed in the post-test session. Another finding was that the group with linear perspective as a depth cue showed greater absolute deviation on both pre-and post-test sessions. Subjects in both groups tended to overestimate the distance to the manipulated cube. On average, both groups tended to overestimate distance in depth more than in width, but the group with linear perspective had greater overestimation both in depth and in width.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"42 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":"122954289","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

Neuropunk revolution: preliminary results 神经朋克革命:初步结果

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923068

M. Talanov

引用次数: 0

Nonlinear Suboptimal Robust Control for Twin Rotor MIMO System 双转子MIMO系统的非线性次优鲁棒控制

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI: 10.1109/DCNA56428.2022.9923275

S. Vrazhevsky, E. Kopysova, Mikhail Kuznetsov

引用次数: 0