Turkish Journal of Computer and Mathematics Education最新文献_第7页

Diagnosing covid-19 using image processing and machine learning 利用图像处理和机器学习诊断新冠肺炎

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.2672

J. Singh, K. Gupta, H. Neha

Image Processing has been a fond field for giving elaborated visual data to process the image data to simplify it for human for illustration for machine concept. With image processing you can have better solution for digital images. Training a machine to do something by providing it with certain training data is known as machine learning which may include here image processing. Machine learning have architectures, loss function, models and many other approaches that is used to determine and provide better image processing It is usually applied for image enhancement, restoration and morphing (inserting one’s style of painting on an image). The objective is to provide a conceptual transfer learning framework by using image classification with the help of learning models, to support the detection of COVID-19 imaging modalities included CT scan and X-Ray. We will be going to make a custom Dataset and the Data Loader in the PyTorch. Then will train a ResNet-18 model for Image Classification performance. In end we will create a Convolutional Neural Networks and then we will be able to train it to analyze Chest X-Ray scans with honestly high accuracy. We will train the model using the ResNet-18 till the accuracy will be 0.95 or 95% in condition till then will stop the training where performance satisfied. So finally we given the 6 images and created a model and took 6 images from test set and put it in the training model and do the prediction and set the accuracy to the limit. Until the accuracy is not fulfilled the training will happen in the work. © 2021 Karadeniz Technical University. All rights reserved.

图像处理一直是一个很受欢迎的领域，因为它提供了详细的视觉数据来处理图像数据，从而为人类简化图像数据，以说明机器的概念。通过图像处理，您可以为数字图像提供更好的解决方案。通过向机器提供特定的训练数据来训练机器做某事，这被称为机器学习，其中可能包括图像处理。机器学习有体系结构、损失函数、模型和许多其他方法，用于确定和提供更好的图像处理。它通常用于图像增强、恢复和变形（在图像上插入自己的绘画风格）。目的是通过在学习模型的帮助下使用图像分类，提供一个概念迁移学习框架，以支持包括CT扫描和X射线在内的新冠肺炎成像模式的检测。我们将在PyTorch中制作一个自定义数据集和数据加载器。然后将针对图像分类性能训练ResNet-18模型。最后，我们将创建一个卷积神经网络，然后我们将能够训练它以高精度分析胸部X射线扫描。我们将使用ResNet-18对模型进行训练，直到精度达到0.95或95%，然后在性能满足的情况下停止训练。因此，最后我们给出了这6张图像，并创建了一个模型，从测试集中提取了6张图像并将其放入训练模型中，进行预测，并将精度设置为极限。在没有达到准确度之前，培训将在工作中进行。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 2

Time series analysis for predicting Covid-19 infection using Facebook prophet model 利用Facebook先知模型预测Covid-19感染的时间序列分析

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.3051

A. Banu, P. Thirumalaikolundusubramanian

The International fright due to the occurrence of COVID has created an emergency act in the field of healthcare, bio medical and drug discovery process. However, finding the feasible solution to introduce a drug is a time-consuming process due to pre-clinical and post-clinical testing process. Prediction and estimation of COVID-19 can help the medical practitioners and government authorities to take preventable measure against the outcomes of COVID-19.From December 2019 to April 2020, 2844712 cases of COVID-19 have been informed, which includes 201315 deaths according to European Centre for Disease Prevention and Control. This drastic condition should be treated not only physicians and other health care providers. There are two types of time series forecasting techniques. The first technique time-domain approach models the forthcoming values as a function of previous and current values. The groundwork of this approach is the time series regression of current values of a time series on its own past values. The assessments of the model are applied for forecasting process. The second technique known as Frequency domain models are based on the interpretations of time using sines and cosines functions. These interpretations are known as Fourier representations. Overall, the technique utilizes regressions on sines and cosines function, to model the behavior of the data. The proposed work used Facebook Prophet model for Time Series Analysis to forecast the trend for the year 2021. The models will act as an inference tool to take decisions during pandemic conditions. © 2021 Karadeniz Technical University. All rights reserved.

新冠肺炎疫情引发的国际恐慌在医疗保健、生物医疗和药物发现过程中引发了紧急行动。然而，由于临床前和临床后的测试过程，找到引入药物的可行解决方案是一个耗时的过程。对新冠肺炎的预测和估计可以帮助医生和政府当局对新冠肺炎的后果采取可预防的措施。根据欧洲疾病预防和控制中心的数据，从2019年12月到2020年4月，已通报了2844712例新冠肺炎病例，其中包括201315例死亡病例。这种剧烈的情况不仅应该治疗医生和其他医疗保健提供者。有两种类型的时间序列预测技术。第一种技术时域方法将即将到来的值建模为先前值和当前值的函数。这种方法的基础是时间序列的当前值对其自身过去值的时间序列回归。模型的评估应用于预测过程。第二种被称为频域模型的技术是基于使用正弦和余弦函数对时间的解释。这些解释被称为傅立叶表示。总体而言，该技术利用正弦和余弦函数的回归来对数据的行为进行建模。拟议的工作使用Facebook Prophet模型进行时间序列分析，以预测2021年的趋势。这些模型将作为一种推理工具，在疫情期间做出决策。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 1

Addressing the post Covid-19 economic consequences of lockdown in India 解决新冠疫情后印度封锁的经济后果

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.2942

V. Joshi, V. Lakshmi, M. Suganthi, P. Guru

On account of the national closedown, the economy has suffered a severe slump. The reduced purchase of goods and services has lead to slow down of domestic manufacturing and agricultural sectors, leading to severe unemployment in urban industrial areas and contraction of the rural economy. This lockdown has influenced economy and business circumstance in India as it has occurred in other nations. The ongoing lockdown due to COVID-19 outbreak affects the Indian economy in many ways, including sharp declines in domestic demand, lower tourism and business travel, trade and production linkages, supply disruptions, and health effects. There are certain sectors that have been affected due to the outbreak of corona virus. This research paper, anticipates indicative measures that may be taken to revive the economy as well as affected sectors to some extent. First, this paper provides an overview of effect of this lockdown on Indian economy. With no manufacturing activity, it is likely that growth of gross domestic product (GDP) will be slowed down. This will be followed listing of the sectors affected due to COVID-19, which carries the risk of global supply chain disruptions. This includes five import items that are heavily dependent on China - electrical machinery, mechanical appliances, organic chemicals, plastics and surgical instruments – that make up about 28% of India’s import basket could be the mostly affected ones due to this potential shutdown. Next, the paper will present some of the indicative measures to revive the economy and rejuvenate the affected sectors. Protection of workers at the workplace must be given utmost priority followed by adapting to new work arrangements such as work-from-home (WFH). This will be followed by measures to stimulate the economy and labour demand by making and implementing active fiscal policy. Making expenditure on purchasing domestic goods and services will be the best way to push the economy. As a matter of fact, it is now may be required to evaluate on what can be produced here (in India) and give a deliberate thought to it towards implanting the same. Further, India will be at advantage by having domestically based and well established ‘pharma industry’. This sector may act as ‘catalyst sector’ towards economic growth of the country. © 2021 Karadeniz Technical University. All rights reserved.

由于国家关门，经济严重衰退。商品和服务购买量的减少导致国内制造业和农业部门的放缓，导致城市工业区的严重失业和农村经济的收缩。像其他国家一样，这次封锁影响了印度的经济和商业环境。2019冠状病毒病疫情导致的持续封锁在许多方面影响着印度经济，包括国内需求急剧下降、旅游和商务旅行减少、贸易和生产联系、供应中断以及健康影响。由于冠状病毒的爆发，某些部门受到了影响。本研究报告预测了可能采取的指示性措施，以在一定程度上重振经济以及受影响的行业。首先，本文概述了这次封锁对印度经济的影响。由于没有制造业活动，国内生产总值(GDP)的增长很可能会放缓。随后将列出受2019冠状病毒病影响的行业，这可能会导致全球供应链中断。这包括严重依赖中国的五种进口产品——电机、机械设备、有机化学品、塑料和手术器械——占印度进口产品篮子的28%左右，可能受到这种潜在关闭的影响最大。接下来，本文将提出一些振兴经济和振兴受影响行业的指示性措施。必须对工作场所工人的保护给予最优先的重视，其次是适应新的工作安排，如在家工作。其次，制定和实施积极的财政政策，刺激经济增长，扩大劳动力需求。增加购买国内商品和服务的支出将是推动经济发展的最佳方式。事实上，现在可能需要评估这里(印度)能生产什么，并慎重考虑是否要种植。此外，印度拥有国内成熟的“制药行业”，将处于优势地位。该部门可能会成为该国经济增长的“催化剂部门”。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 0

Good and not so good of learning using digital platforms: Experience sharing from PG students 使用数字平台学习的好与不好：PG学生的经验分享

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.2649

S. Pandey, M. Chawla, M. Mathur

Gone are the days when learning was confined inside four walls. With advent of technology, education sector has also advanced and a lot of educational platforms have been introduced for online learning also known as digital or e-learning. Though this concept is more famous in West, but during these times of Covid these platforms have reached and covered the gaps which conventional way of teaching couldn’t and people have come to know about the bright side of digital learning as well. Digital learning has replaced the classroom learning. It was in the trends but due to Covid 19 it has completely disrupted the learning pedagogy and also has been savior for the learners across the globe. The present discussion is about the digital learning and issues faced by learners. The feedback was conducted by the learners of post graduate courses and content analysis has been performed. © 2021 Karadeniz Technical University. All rights reserved.

学习被限制在四面墙内的日子已经一去不复返了。随着技术的出现，教育部门也取得了进步，许多教育平台被引入在线学习，也称为数字或电子学习。尽管这一概念在西方更为著名，但在新冠肺炎疫情期间，这些平台已经达到并弥补了传统教学方式无法弥补的差距，人们也开始了解数字学习的光明面。数字化学习已经取代了课堂学习。这是一种趋势，但由于新冠肺炎19，它完全扰乱了学习教学法，也是全球学习者的救星。目前的讨论是关于数字学习和学习者面临的问题。研究生课程的学习者进行了反馈，并进行了内容分析。©2021卡拉德尼兹工业大学。保留所有权利。

引用次数: 1

Epidemic manifestation in daniel defoe's a journal of the plague year and COVID 19: A comparative study 笛福《鼠疫年志》与《新冠肺炎》的流行表现比较研究

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.2630

M. Yousif, W. K. Razzyq, Q. K. Nsaif

Epidemic manifestation in Daniel Defoe's A Journal of the Plague Year seems to be a guiding picture that shows people how to deal with the current global epidemic. This novel is meant to support a precise chronological sequence of the pace of the development of an epidemic, from the appearance of the first symptoms to the disastrous climax, and then back to ordinary life. The study has aimed at making comparative study about the current epidemic (Covid 19 ) with the epidemic (Bubonic Plague) that is mentioned in Daniel Defoe's novel, as fatal viruses. However, the present study has adopted the descriptive analytical comparative study;where the two epidemics have been comparatively studied. The analysis is focused on clarifying the similarities and differences between the current situation and what happened in the 1665. The researcher has come up with several results, the most important of which are: Bubonic plague and Covid 19 are similar because they have the same effect on the people who are contemporary with them, but the plague is more dangerous health crisis. They are not only regarded as health epidemics, but actual disease that affected societies in all their aspects;religion, economy, political issues, sports, educational systems, etc. People suffers from desperation, pain and sadness. Furthermore, the present study recommends from a literary point of view that history repeats itself and that people should learn from past mistakes to be ready for any kind of disaster. © 2021 Karadeniz Technical University. All rights reserved.

丹尼尔·笛福的《瘟疫年杂志》中的流行病表现似乎是一幅指导图，向人们展示了如何应对当前的全球流行病。这部小说旨在支持一种流行病发展速度的精确时间序列，从最初症状的出现到灾难性的高潮，然后回到普通生活。这项研究旨在将当前的流行病（新冠肺炎19）与丹尼尔·笛福小说中提到的流行病（Bubonic Plague）作为致命病毒进行比较研究。然而，本研究采用了描述性分析比较研究；对这两种流行病进行了比较研究。分析的重点是澄清目前的情况与1665年发生的事情之间的异同。研究人员得出了几个结果，其中最重要的是：布博尼瘟疫和新冠肺炎19类似，因为它们对同时代的人有相同的影响，但瘟疫是更危险的健康危机。它们不仅被视为健康流行病，而且是影响社会各方面的实际疾病；宗教、经济、政治问题、体育、教育制度等。人们遭受绝望、痛苦和悲伤。此外，本研究从文学的角度建议，历史会重演，人们应该从过去的错误中吸取教训，为任何形式的灾难做好准备。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 0

CNNCD screening model to distinguish covid-virus by using chest X-ray and transfer learning 基于胸片和迁移学习的CNNCD筛查模型鉴别新冠病毒

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.2671

P. Parwekar, S. Rapeti, P. Vats, M. Sharma

Coronavirus disease has been announced as a pandemic by World Health Organization and till this date 2,683,536 are lost their lives due to Covid-19. The one and only way to reduce the cases is Quarantine the patients that who are tested Covid-19 positive. Researchers have done Different kind of design deep learning models to screen the Covid-19 pandemic. They discovered different deep learning models to detect the Covid-19 using chest X-Rays most of the methods having less accuracy rate. In few models Overfitting problem increasing difficulties in most of the models. In this Article an automatic Covid-19 Screening model is developed to identify the Covid Detection, Pneumonia and Normal. Different learning techniques used separately to learn the model like CNN, VGG16 and ResNet. From those three models VGG-16 is giving better performance. © 2021 Karadeniz Technical University. All rights reserved.

世界卫生组织已宣布冠状病毒疾病为一种流行病，截至目前，已有2683536人因新冠肺炎而丧生。减少病例的唯一方法是隔离新冠肺炎检测呈阳性的患者。研究人员设计了不同类型的深度学习模型来筛选新冠肺炎大流行。他们发现了不同的深度学习模型，使用胸部X射线检测新冠肺炎——大多数方法的准确率较低。在少数模型中，过度拟合问题在大多数模型中增加了难度。本文建立了一个自动新冠肺炎筛查模型，用于识别新冠肺炎检测、肺炎和正常。分别使用不同的学习技术来学习模型，如CNN、VGG16和ResNet。从这三种型号来看，VGG-16提供了更好的性能。©2021卡拉德尼兹工业大学。保留所有权利。

引用次数: 0

Legal analysis of artificial intelligence in corporate board rooms 公司董事会会议室人工智能的法律分析

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-19 DOI: 10.17762/TURCOMAT.V12I7.2963

D. Kumar, R. Kaur, P. Kaur

Artificial Intelligence has the potential to revolutionize the corporate boardrooms. AI has recently entered the corporate boardrooms. As per the literature available AI can be divided into three forms-assisted, augmented and autonomous artificial intelligence. There is a difference of opinion some scholars is of the view that AI can only be used as a tool or aid by boards while other believe in delegating the directors’ duties to AI for efficient results The author in this article will examine the technological development in field of AI and board of directors with special reference to India. © 2021 Karadeniz Technical University. All rights reserved.

引用次数: 1

Fintech as financial inclusion: Factors affecting behavioral intention to accept mobile E-wallet during Covid-19 outbreak 金融科技作为普惠金融:疫情期间影响移动电子钱包接受行为意愿的因素

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-16 DOI: 10.17762/TURCOMAT.V12I7.3356

S. Alwi, M. Salleh, Rabiatul Munirah Alpandi, Fatin Farazh Ya’acob, S. M. M. Abdullah

Mobile e-wallet or digital e-wallet is one of the emerging Financial Technologies (FinTech) that has become extremely prevalent during the last few years. As even the technology is growing, it is crucial that researchers recognize the factors that affect technology adaptation. Even, with the world's pandemic and the digitalisation of the banking system and modes of payment, it may have and disability. This research paper will therefore concentrate on defining the factors affecting behavioral intent to implement mobile e-wallet after the COVD-19 outbreak. The indicators highlighted in the paper are perceived usefulness, perceived ease of use, perceived health, perceived social impact, perceived value. Health alert, transactional costs and their impact on mobile e-wall adoption. The data was analyzed using multiple regression analysis, Alpha and Factor analysis from Cronbach. The study revealed a significant impact including its estimated model on the behaviour intent to implement mobile e-wallet. © 2021 Karadeniz Technical University. All rights reserved.

移动电子钱包或数字电子钱包是新兴的金融技术(FinTech)之一，在过去几年中变得非常普遍。随着技术的发展，研究人员认识到影响技术适应的因素是至关重要的。即便如此，随着全球大流行以及银行系统和支付方式的数字化，它也可能会产生和失效。因此，本研究论文将侧重于确定影响covid -19爆发后实施移动电子钱包行为意图的因素。本文强调的指标是感知有用性、感知易用性、感知健康、感知社会影响和感知价值。健康警报、交易成本及其对移动电子墙采用的影响。采用多元回归分析、Alpha和Cronbach因子分析对数据进行分析。该研究揭示了一个重要的影响，包括其对实施移动电子钱包的行为意图的估计模型。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 19

Methodology for the analysis of oxygen saturation and heart rate in the development of online classes, in children, product of the covid-19 pandemic covid-19大流行产物儿童在线课程开发中的血氧饱和度和心率分析方法

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-16 DOI: 10.17762/TURCOMAT.V12I7.3931

W. Auccahuasi, C. Ovalle, K. Urbano, E. Felix, M. Ruiz, M. Bernardo, J. Cueva

In these times of pandemic caused by COVID-19, many of the activities we carry out are changing, education is one of the main ones that changed considerably and in the face of this change, certain manifestations that normally could not be identified are taking place, such as This is the case of the pressure and stress that the students are being subjected to, due to the fact that they spend most of the day at home in a kind of voluntary confinement, added to the realization of online classes from home, With parents attentive to the class, being able to understand teachers, conducting evaluations, among others, present in students an increase in pressure and levels of stress that are commonly subjected. The methodology that is proposed is related to being able to evaluate the level of oxygen saturation and the heart rate that they are developing in the realization of the online classes, this evaluation is carried out using low-cost devices known as clocks. intelligent, the results show that depending on the age the students are able to distinguish the different pressures that are manifested in the variability of the heart rate, we can indicate that at an older age the students can distinguish these pressures, it is concluded that it is possible to perform these measurements with The following purposes, the first to be able to monitor the students if they present any symptoms of COVID-19 and second if they present any manifestation of a possible problem related to the respiratory and cardiac system, the study recommends keeping in mind the manifestations that the students are developing. students in online classes and it is very helpful to be able to assess these vital signs to to be able to assess these manifestations as a result of pressure and stress. © 2021 Karadeniz Technical University. All rights reserved.

在这些COVID-19造成大流行的时候,我们开展的许多活动正在发生变化,教育的一个主要的改变,面对这种变化,某些表现,通常不能被识别,这样的压力和压力的情况下,学生被接受,因为他们的大部分时间在家里一种自愿的监禁,再加上家庭在线课程的实现，父母关注课堂，能够理解老师，进行评估，等等，学生们通常承受的压力和压力水平增加了。所提出的方法与能够评估氧饱和度和心率水平有关，他们正在开发在线课程的实现，这种评估是使用称为时钟的低成本设备进行的。智能，结果表明，根据年龄的学生能够区分不同的压力，表现在心率的可变性，我们可以表明，在年龄较大的学生可以区分这些压力，结论是，有可能执行这些测量与以下目的:首先是能够监测学生是否出现任何COVID-19的症状，其次是如果他们出现任何与呼吸和心脏系统相关的可能问题的表现，该研究建议记住学生正在发展的表现。在线课程的学生能够评估这些生命体征是很有帮助的能够评估这些表现是压力和压力的结果。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 0

Methodology to improve the teaching of mathematical theories in schoolchildren, through the use of programming techniques 通过使用编程技术改进学童数学理论教学的方法

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-16 DOI: 10.17762/TURCOMAT.V12I7.3930

W. Auccahuasi, C. Ovalle, K. Urbano, E. Félix, M. Ruiz, M. Bernardo, J. Cueva

The science courses are and will be the basis of the students' knowledge, in this sense the mathematics course is considered the most important course because in its content it presents topics related to calculus, making their learning of vital importance in the design of educational processes. Finance a review of the state of the art we find a series of works dedicated to being able to enhance the mechanisms used for teaching, from the use of scientific calculators to reaching certain computer programs of common use, in this work a methodology is developed to be able to enhance the programming skills that teachers have in a specific area of programming, where we can consider any programming language but also any computer tool such as Excel spreadsheets. The methodology proposes the organization of topics as specific theories, such as algebra, arithmetic, trigonometry, geometry, where specific functions are developed for each specific topic, with the intention that they can be understood more easily and in turn not complicated. to the teacher in his process of adaptation of the materials and in the development of the classes. The intention is to enhance the knowledge that teachers have instead of presenting a new programming language and that they can learn in order to teach. The results show that by using the knowledge they have regarding some computer tool, we managed to organize the study materials so that it is more understandable at the time of the classes. As a conclusion we can indicate that in these times of the COVID-19 product pandemic, the methodology that is presented becomes more important because the classes are online and can help the learning of mathematics with the help of these mechanisms to organize the study materials and improve the learning processes of the math course. © 2021 Karadeniz Technical University. All rights reserved.

科学课程现在和将来都是学生知识的基础，从这个意义上说，数学课程被认为是最重要的课程，因为它的内容涉及微积分相关的主题，使他们的学习在教育过程的设计中至关重要。通过对现有技术的回顾，我们发现了一系列致力于增强教学机制的工作，从科学计算器的使用到某些通用的计算机程序，在这项工作中，开发了一种方法，能够增强教师在特定编程领域的编程技能，我们可以考虑任何编程语言，也可以考虑任何计算机工具，如Excel电子表格。该方法建议将主题组织为特定理论，如代数、算术、三角法、几何，其中为每个特定主题开发特定函数，目的是使它们更容易理解，进而不复杂。在教师对材料的改编过程中以及在课程的发展过程中。其目的是增强教师的知识，而不是展示一种新的编程语言，以及他们可以通过学习来进行教学。结果表明，通过利用他们对一些计算机工具的了解，我们成功地组织了学习材料，使其在上课时更容易理解。作为一个结论，我们可以指出，在新冠肺炎产品大流行的时代，所呈现的方法变得更加重要，因为课程是在线的，并且可以借助这些机制来组织学习材料和改进数学课程的学习过程，从而帮助数学学习。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 0