2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)最新文献_第10页

Influence of Molar Composition on Electron Mobility in Solid Solution AlGaAs 固溶体AlGaAs中摩尔组成对电子迁移率的影响

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927087

V. Moskaliuk, V. Timofeyev, T. Saurova, Irina Baida, Taisiya Kozhevnikova

引用次数: 0

Method of the Detection Quality Improving by Complexing of the Same Synchronous Radars into Multi-Radar System 同一同步雷达复配成多雷达系统提高探测质量的方法

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927076

V. Lishchenko, H. Khudov, Kristina Tahyan, Evgen Sapegin, A. Zvonko, O. Serdiuk

{"title":"Method of the Detection Quality Improving by Complexing of the Same Synchronous Radars into Multi-Radar System","authors":"V. Lishchenko, H. Khudov, Kristina Tahyan, Evgen Sapegin, A. Zvonko, O. Serdiuk","doi":"10.1109/ELNANO54667.2022.9927076","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927076","url":null,"abstract":"Currently, there is a practice where radars located at close range from each other work autonomously. Information from them is combined only when constructing trajectories, when marks from air objects have already been received and is used mainly to identify air objects. At the same time, in some areas a much higher multiplicity of overlap of detection zones is created due to the compaction of radar placement in special cases. Therefore, it is proposed to combine individual radars with high mobility into a system, and the processing of radar information will be carried out at a central point, which can be combined with one of the positions or located separately. At this point, it is advisable to carry out joint processing of radar information, the effectiveness of which will depend on the degree of coherence provided in the system. The development of information technology and the use of special high-speed processors in signal processing and large data streams, as well as a new element base expands the functionality of multi-radar systems and allows you to optionally allow existing radars to work as needed economy mode.","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":"128401089","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

Quasi-Optical Resonator of the Extremely High Frequency Range for Power Summation 用于功率求和的极高频准光谐振器

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927061

B. Muzychishin, I. Kuzmichev, T. Narytnyk, A. Popkov, O. Voitovych

引用次数: 0

The Law of Time Distribution in Modeling the Activity of the Automated Control System Operator 自动控制系统操作员活动建模中的时间分布规律

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927067

M. Pavlenko, Yu. G. Gorobets, Olena Korshets, M. Borysenko, A. Poberezhnyi, Dmitrii Pavlov

{"title":"The Law of Time Distribution in Modeling the Activity of the Automated Control System Operator","authors":"M. Pavlenko, Yu. G. Gorobets, Olena Korshets, M. Borysenko, A. Poberezhnyi, Dmitrii Pavlov","doi":"10.1109/ELNANO54667.2022.9927067","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927067","url":null,"abstract":"The existing models for ensuring the activities of the operator of the automated control system or its individual elements use simplified data on the time spent on performing elementary actions. Various laws of time distribution for performing elementary actions are investigated to select an adequate one in modeling the activities of automated control system operators. To estimate the average execution time of several elementary actions, the sum of the values of each elementary operation was used. Hypotheses about the laws of distribution of time for solving problems by the operator are put forward and tested: truncated normal distribution, gamma distribution, beta distribution, logarithmically normal distribution. The agreement of the empirical and theoretical distributions is checked, histograms and distribution densities of the decision time by the operator are shown. The empirical distributions are in good agreement with the theoretical ones, and the estimate of the probability of their coincidence with the empirical ones is approximately the same. The proposed empirical approach to modeling the operator's activity retains a sufficient level of detailing of certain aspects of his activity while maintaining a holistic picture.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"67 2 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":"131031047","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

KB-MTD Schemes against Joint Extended and Discrete Clutter for Ground-Based Radars 地基雷达抗联合扩展和离散杂波的KB-MTD方案

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9926988

A. Semeniaka, V. Riabukha, Y. Katiushyn

引用次数: 0

Study of Organic-Inorganic Polymer Nanocomposite Materials for Polyfunctional Resistive Sensor Devices 用于多功能电阻式传感器器件的有机-无机聚合物纳米复合材料研究

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927126

E. Lysenkov, I. Lysenkova

引用次数: 1

Grouping Training Samples To Increase The Validity Of Recognition Algorithm Solutions 训练样本分组提高识别算法解的有效性

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927020

O. Shulyak, A. Mnevets, V. Lagutin

{"title":"Grouping Training Samples To Increase The Validity Of Recognition Algorithm Solutions","authors":"O. Shulyak, A. Mnevets, V. Lagutin","doi":"10.1109/ELNANO54667.2022.9927020","DOIUrl":"https://doi.org/10.1109/ELNANO54667.2022.9927020","url":null,"abstract":"The paper is devoted to increasing the validity of recognition algorithms by dividing training samples into subsets of their related instances and using such subsets at the stage of training recognition procedures and in the criteria for making decisions about the types of signals considered. Software tools for implementing this approach are proposed. A variant of grouping training samples is considered, which is based on dividing the samples into clusters of similar instances. A supposed possible increase in the validity of the algorithm solutions here is associated with a more detailed consideration of the dislocations of the accumulation of signals in feature spaces. The proposed system for forming a system of isolines and shape characteristics can be used in algorithms for recognizing pathological patterns in the ECG signal shape. This approach also implements the principle of data dimensionality reduction about the characteristics of the waveform, which can be used in deep learning systems. The introduction reveals the general formulation and relevance of the proposed research. Section 1 discusses general issues of problem formulation: specific types of recognized signals, features for their description, the recognition algorithm chosen for research, the procedure for assessing the validity of its solutions and assessing the initial validity of solutions for the original algorithm before grouping training samples. In Section 2, we study the grouping of training samples of the algorithm by their separate clustering according to the types of recognized signals. An assessment of its effectiveness is given. The results of the work are briefly disclosed in the general conclusions.","PeriodicalId":178034,"journal":{"name":"2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)","volume":"10 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":"124155045","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

Estimation of The Throughput of The Channel for Measuring The Distance of Short-Range Radio Engineering Systems 近程无线电工程系统距离测量信道吞吐量的估计

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927005

I. Svyd, I. Obod, O. Maltsev, O. Romanov, Oleksandr K. Zhuk, O. Nesmiian

引用次数: 0

Resonance Characteristics and Their Physical Mechanisms in DNA Receptors of Biosensors 生物传感器DNA受体的共振特性及其物理机制

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927025

A. Suprun, L. Shmeleva

引用次数: 0

Criterion and Methodology Selecting Fixed Parameters of Algorithms for Tracking Aerial Objects 空中目标跟踪算法固定参数选择准则与方法

2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO) Pub Date : 2022-10-10 DOI: 10.1109/ELNANO54667.2022.9927079

V. Karlov, A. Kovalchuk, M. Barkhudaryan, Viktor Kovalchuk, O. Kuznietsov, I. Petrushenko

引用次数: 0