Advances in Systems Science and Applications最新文献_第2页

Deep learning techniques for detection of covid-19 using chest x-rays 利用胸部x光检测新冠肺炎的深度学习技术

Advances in Systems Science and Applications Pub Date : 2021-06-30 DOI: 10.25728/assa.2021.21.2.1009

A. Naveen, B. Manoj, G. Akhila, M. B. Nakarani, J. Sreekar, P. Beriwal, N. Gupta, S. Narayanan

{"title":"Deep learning techniques for detection of covid-19 using chest x-rays","authors":"A. Naveen, B. Manoj, G. Akhila, M. B. Nakarani, J. Sreekar, P. Beriwal, N. Gupta, S. Narayanan","doi":"10.25728/assa.2021.21.2.1009","DOIUrl":"https://doi.org/10.25728/assa.2021.21.2.1009","url":null,"abstract":"The COVID-19 pandemic situation keeps on ruining and affecting the wellbeing and prosperity of the worldwide population and due to this situation, the doctors around the world are working restlessly, as the coronavirus is increasing exponentially and the situation for testing has become quite a problematic and with restricted testing units, it’s impossible for every patient to be tested with available facilities. Effective screening of infected patients through chest X-ray images is a critical step in combating COVID-19. With the help of deep learning techniques, it is possible to train various radiology images and detect COVID-19. The dataset used in our research work is gathered from different sources and a specific new dataset is generated. The proposed methodology implemented is beneficial to the medical practitioner for the diagnosis of coronavirus infected patients where predictions can be done automated using deep learning. The deep learning algorithms that are used to predict the COVID with the help of chest X-ray images are evaluated for their prediction based on performance metrics such as accuracy, precision, Recall, and F1-score. In this work, the proposed model has used deep learning techniques for COVID-19 prediction and the results have shown superior performance in prediction of COVID-19. © 2021, International Institute for General Systems Studies. All rights reserved.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"21 1","pages":"42-57"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42070699","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

Mathematical Modeling of Color Printing Devices: Color Gamut Visualization and Colorimetric Measurements Regularization 彩色印刷设备的数学建模:色域可视化和比色测量正则化

Advances in Systems Science and Applications Pub Date : 2021-06-30 DOI: 10.25728/ASSA.2021.21.2.1077

D. V. Tunitsky

引用次数: 0

On Uniform Convergence Property of Solutions for Periodic Differential Inclusions with Asymptotically Stable Sets 具有渐近稳定集的周期微分包含解的一致收敛性

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.1037

M. Morozov

引用次数: 0

Software for Testability Analysis of Aviation Systems 航空系统可测试性分析软件

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.1052

V. S. Viktorova, A. S. Stepanyants

引用次数: 0

The Optimal Control of the Vessel’s Automatic Dynamic Positioning System Under Deviation 船舶自动动态定位系统在偏离状态下的最优控制

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.808

V. Kramar, V. Alchakov, A. Osadchenko

引用次数: 1

Design and Comparison of Plasma H∞ Loop Shaping and RGA-H∞ Double Decoupling Multivariable Cascade Magnetic Control Systems for a Spherical Tokamak 球形托卡马克等离子体H∞回路成形和RGA-H∞双解耦多变量串级磁控制系统的设计与比较

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.942

Y. Mitrishkin, E. Pavlova, M. Patrov

{"title":"Design and Comparison of Plasma H∞ Loop Shaping and RGA-H∞ Double Decoupling Multivariable Cascade Magnetic Control Systems for a Spherical Tokamak","authors":"Y. Mitrishkin, E. Pavlova, M. Patrov","doi":"10.25728/ASSA.2021.21.1.942","DOIUrl":"https://doi.org/10.25728/ASSA.2021.21.1.942","url":null,"abstract":"The article aims to present an approach to design and compare cascade Hinf loop shaping and essentially new cascade RGA-Hinf double decoupling magnetic control systems for a multivariable dynamical plant, specifically plasma in a vertically elongated tokamak. Identification of the present control closed-loops containing a plasma linear model of a relatively high order for the spherical Globus-M tokamak (Ioffe Institute, St Petersburg, Russia) to derive a low order linear model (without the application of reduction algorithms) as a plant under control is undertaken. A robust H¥ loop shaping method was applied to the identified model to design a plasma position, current, and shape (6 gaps between the first wall and plasma separatrix) multivariable controller. A structural analysis was done to get the most effective structure of the square plant with the 3rd gap eliminated in the feedback and a separate loop for the plasma current control. The methodology of the relative gain array (RGA) was applied to this structure to choose the proper correspondences between inputs and outputs (pairing), which brought the plant model closer to a decoupling plant (first decoupling in the open plant model). Further, the Hinf adjustment of the control system with the pairing plant and an additional feedback decoupling matrix (second decoupling of the plant model in the feedback) and PI controllers in the feedback gave increased control system accuracy while tracking references. Comparison of the two control systems designed has shown that double decoupling gives higher performance accuracy and a less robust stability margin, while the robust loop shaping method allows the stability margin to be increased but gave less accurate control of the gaps.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"533 ","pages":"22-45"},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41282292","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

Formularization Method for Calculating the Breakaway and Break-in Points and the Corresponding Gain of Root Locus Graphs 计算根轨迹图的断点、断点及相应增益的公式化方法

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.1012

H. Shibly, Orwah H. Shibly

引用次数: 0

Enhanced Results on Stability Criteria for Linear Time Delay Systems with Distributed Delay via Relaxed Double Integral Inequality 利用松弛二重积分不等式增强了具有分布时滞的线性时滞系统稳定性判定的结果

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.1044

Jeetendra Rajagopal, Jeevanandan Balamurugan

引用次数: 0

Decoupling Model-Based Fuzzy Logic Control of Room Temperature and Humidity 基于解耦模型的室内温湿度模糊控制

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.963

S. Yordanova

引用次数: 0

Application of the Minimum Principle of a Tikhonov Smoothing Functional in the Problem of Processing Thermographic Data Tikhonov平滑泛函最小值原理在热成像数据处理中的应用

Advances in Systems Science and Applications Pub Date : 2021-03-31 DOI: 10.25728/ASSA.2021.21.1.1055

E. Laneev, N. Chernikova, O. Baaj

{"title":"Application of the Minimum Principle of a Tikhonov Smoothing Functional in the Problem of Processing Thermographic Data","authors":"E. Laneev, N. Chernikova, O. Baaj","doi":"10.25728/ASSA.2021.21.1.1055","DOIUrl":"https://doi.org/10.25728/ASSA.2021.21.1.1055","url":null,"abstract":"The paper considers a method for correcting thermographic images. Mathematical processing of thermograms is based on the analytical continuation of the stationary temperature distribution as a harmonic function from the surface of the object under study to the heat sources. The continuation is performed by solving an ill posed mixed problem for the Laplace equation in a cylindrical region of rectangular cross-section. The cylindrical area is bounded by an arbitrary surface and plane. The Cauchy conditions are set on the surface-the boundary values of the desired function and its normal derivative. Inhomogeneous conditions of the first kind are set on the side faces of the cylinder. The problem is the inverse of the corresponding mixed problem for the Poisson equation. In this paper, an approximate solution of the problem is obtained that is stable with respect to the error in the Cauchy data and inhomogeneity in the boundary conditions. In the course of constructing an approximate solution, the problem is reduced to the Fredholm integral equation of the first kind, which is solved using the minimum smoothing functional principle. The convergence of the approximate solution of the problem is proved when the regularization parameter is matched to the error in the data.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"21 1","pages":"139-149"},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46265746","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: 5