Turkish Journal of Computer and Mathematics Education最新文献

英文中文

Fibonacci transform algorithm for encryption and decryption of covid images 基于Fibonacci变换的covid图像加解密算法

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2756

H. Mohammad, C. Gangadhar

Picture encryption is a powerful strategy to ensure pictures or recordings by moving them into unrecognizable formats for various security purposes. In this paper, Fibonacci Algorithm for Covid pictures encryption and Discrete wavelet change based Orthogonal Frequency Division Multiplexing for transmission and gathering is proposed. This paper presents execution of Fibonacci Algorithm for picture encryption and Discrete wavelet change based Orthogonal Frequency Division Multiplexing handset utilizing Discrete wavelet transform using Field Programmable Gate Array.

图片加密是一种强大的策略，可以通过将图片或录音转换为不可识别的格式来确保各种安全目的。本文提出了新冠肺炎图像加密的Fibonacci算法和基于离散小波变换的正交频分复用传输与采集算法。本文介绍了用于图像加密的Fibonacci算法和基于离散小波变换的正交频分复用手持机的执行，该手持机利用现场可编程门阵列的离散小波变换。

引用次数: 0

Tools of digital learning scheme in the era of pandemic Covid 19 新冠肺炎疫情时代的数字学习计划工具19

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2804

Feri Sulianta, E. A. Laksana, A. Rosita, F. Rumaisa, Sy. Yuliani

Digital technology has offered a completely different way of learning compared to previous times. Until now, the problem of equitable internet access and various limitations of digital resources have become obstacles in transforming technology-based learning.It's already been experienced. Some educators have successfully implemented online learning by involving students in a different learning management system (LMS), they have used LMS as part of non-traditional learning even before the pandemic started, e-learning for example, distance learning or blended learning.From the ongoing global pandemic, educational organizations are expected to be able to create learning methods based on the use of technology with all aspects and technological developments, it's just that currently educational organizations to realize it are much faster than previous expectations because the gaps in learning that need to be anticipated and researched are based on digital technology which also practically breaks the pandemic cycle. © 2021 Karadeniz Technical University. All rights reserved.

与以往时代相比，数字技术提供了一种完全不同的学习方式。到目前为止，公平的互联网接入问题和数字资源的各种限制已经成为转变基于技术的学习的障碍。我们已经经历过了。一些教育工作者通过让学生参与不同的学习管理系统(LMS)成功地实施了在线学习，他们甚至在大流行开始之前就将LMS作为非传统学习的一部分，例如电子学习、远程学习或混合学习。从正在进行的全球大流行中，教育组织被期望能够创造基于使用技术的学习方法，随着各方面和技术的发展，只是目前教育组织意识到这一点比以前的预期要快得多，因为需要预测和研究的学习差距是基于数字技术的，这实际上也打破了大流行的循环。©2021卡拉德尼兹技术大学。版权所有。

引用次数: 0

'new normal' in covid-19 era: The textual analysis of jokowi's speech 新冠肺炎时代的“新常态”:佐科威演讲文本分析

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2964

D. Nugraha, Yulia Segarwati, Y. Hartawan, N. Nugraha

In the critical discourse analysis, every discourse has three dimensions: It is a written or spoken language text;an interaction between people - which involves the process of production and interpretation of texts (practice of discourse);and is part of a practice or social act. The implication in critical discourse analyses is how this study raises the rules of language and linguistic practices that are implanted together with the relationship of a practice or social act that is often not realized by us so far. This study also criticizes the tendency of language studies to simply use linguistic rules and practices, as objects that are described, in a way that obscures their ideological and political inculcations. In this research, the authors examine the impact of the spread of the virus on the Indonesian economy, as well as the government's response to the public health crisis, as well as the efforts made to overcome the economic crisis that has arisen Covid -19 and 'new normal' based on the textual analysis of Jokowi's Speech. This research was conducted using a qualitative-descriptive type with critical discourse analysis approach. The data was taken from the Cabinet Secretariat of the Republic of Indonesia and online media (tempo). The results showed that online media consistently supported the application of the new normal to restore economic conditions. the Cabinet Secretariat of the Republic of Indonesia emphasizes its frame using sensational and eye-catching vocabulary. © 2021 Karadeniz Technical University. All rights reserved.

在批评话语分析中，每个话语都有三个维度:它是书面或口头语言文本;它是人与人之间的互动——这涉及到文本的生产和解释过程(话语实践);它是实践或社会行为的一部分。批判性话语分析的意义在于，这项研究如何提出语言和语言实践的规则，这些规则与实践或社会行为的关系一起植入，而我们迄今往往没有意识到这一点。本研究还批评了语言研究倾向于简单地使用语言规则和实践作为被描述的对象，以一种模糊其思想和政治灌输的方式。在这项研究中，作者研究了病毒传播对印度尼西亚经济的影响，以及政府对公共卫生危机的反应，以及为克服因Covid -19和“新常态”而产生的经济危机所做的努力，基于对佐科威演讲的文本分析。本研究采用定性描述型批判性话语分析方法进行。数据取自印度尼西亚共和国内阁秘书处和网络媒体(tempo)。结果表明，网络媒体一贯支持新常态的应用，以恢复经济状况。印度尼西亚共和国内阁秘书处使用耸人听闻和引人注目的词汇强调其框架。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 0

SVM-kNN- IPSO ensemble method for Diagnosis of Novel Coronavirus (COVID-19) with CT images 基于SVM-kNN- IPSO集成方法的新型冠状病毒(COVID-19) CT图像诊断

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2743

W. Hanon, T. A. Wotifi, M. Al-Hamiri

New coronavirus epidemic- COVID- 19 is still growing. This epidemic disease not only includes high mortality due to viral infection but also caused the psychological disaster in all parts of the world. The paper provides the early Coronavirus stage detection COVID-19, with the methods of machine learning. Support vector machine (SVM) is a two-class classifier which in the recent years attracted a significant attention. The performance of this classifier depends on the amount of its parameters such as C (Penalty Factor) and the existing parameter in kernel. Also the selection of a suitable kernel function has a significant affect in its performance improvement. Besides the mentioned cases, performing the feature selection process not only causes to improve the mentioned performance improvement but also causes to reduce the computation complexity and training time. In this paper, we used the improved partial swarm optimization algorithm (IPSO) to optimize the SVM. Findings illustrated that proposed method could be utilized for diagnosing disease of COVID-19 as the assistant system. Promisingly, the proposed method can be regarded as a useful clinical decision tool for the physicians. © 2021 Karadeniz Technical University. All rights reserved.

新型冠状病毒流行病- COVID- 19仍在增长。这种流行病不仅因病毒感染而造成高死亡率，而且在世界各地造成了心理灾难。本文利用机器学习的方法提供了COVID-19的早期冠状病毒阶段检测。支持向量机(SVM)是近年来备受关注的两类分类器。该分类器的性能取决于其参数的数量，如C (Penalty Factor)和内核中已有的参数。选择合适的核函数对其性能的提高也有重要的影响。除了上述情况外，执行特征选择过程不仅可以提高上述性能，还可以减少计算复杂度和训练时间。本文采用改进的部分群优化算法(IPSO)对支持向量机进行优化。结果表明，该方法可作为辅助系统用于COVID-19疾病诊断。有希望的是，所提出的方法可以被视为一个有用的临床决策工具的医生。©2021卡拉德尼兹技术大学。版权所有。

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引用次数: 1

A critical review of the Indonesian translation of "Be a Coronavirus Fighter" 印尼语翻译《做一名冠状病毒斗士》述评

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3191

A. T. Siregar, M. L. Sujatna

This paper aims to offer criticism on an Indonesian translation of "Be a Coronavirus Fighter." The book is one of the children's literature collections that discusses how children should view the pandemic and protect themselves from the virus. The study employed a systematic evaluation based on Berman's methods by comparing the English and Indonesian text versions. The Indonesian translation was done by Emil Salim, a well-known figure in the translation industry. At a macro level, high adherence was found in text function consistencies, catering to educating young readers about the virus and its effects. At a micro level, however, some expressions were translated in adult-level and less-contemporary language. A conclusion can be drawn that it should use a more contemporary children's language level to represent the original text better. © 2021 Karadeniz Technical University. All rights reserved.

本文旨在对《成为冠状病毒斗士》的印尼译本提出批评。这本书是儿童文学集之一，讨论了儿童应该如何看待疫情并保护自己免受病毒感染。该研究采用了基于伯曼方法的系统评估，通过比较英语和印尼语文本版本。印尼语的翻译是由翻译界的知名人士埃米尔·萨利姆完成的。在宏观层面上，文本功能一致性具有很高的依从性，有助于教育年轻读者了解病毒及其影响。然而，在微观层面上，一些表达被翻译成成人层面的语言和不太现代的语言。可以得出的结论是，它应该使用更现代的儿童语言水平来更好地代表原文。©2021卡拉德尼兹工业大学。保留所有权利。

引用次数: 0

Deep learning algorithms for COVID 19 data analytics COVID - 19数据分析的深度学习算法

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3344

J. Yogapriya

Covid-19 is a viral disease that affects the humans very fastly where by the death rate also increasing day by day. Recently a vaccine for COVID-19 is identified and being used by a particular age of people. There are different types of tests are being used to identify whether a person is having a corona or not. Mainly, the lung is being affected by people and unable to breath continuously. For diagnosing lunge related problems, Chest x-ray and chest CT imaging techniques are widely used. Various researches are being conducted to identify corona virus by using chest X ray images. Still, a substantial chest x-ray is a lower cost process in comparison to chest CT. Deep Learning techniques are being applied for analyzing a large amount of chest x-ray images which could screen the COVID-19.This paper analysis the various deep learning techniques applied for identifying corona virus symptoms using chest x ray images. Convolutional Neural Network algorithm has achieved 95% accuracy for analyzing COVID 19 and Normal patients. © 2021 Karadeniz Technical University. All rights reserved.

Covid-19是一种迅速影响人类的病毒性疾病，死亡率也日益增加。最近发现了一种针对COVID-19的疫苗，并由特定年龄的人群使用。有不同类型的测试被用来确定一个人是否患有冠状病毒。主要是肺部受到人的影响，不能连续呼吸。对于弓步相关疾病的诊断，胸部x线和胸部CT成像技术被广泛使用。目前正在进行各种研究，以通过胸部X射线图像识别冠状病毒。尽管如此，与胸部CT相比，胸部x光检查的成本更低。深度学习技术正在应用于分析大量可以筛查新冠病毒的胸部x光图像。本文分析了利用胸部x线图像识别冠状病毒症状的各种深度学习技术。卷积神经网络算法对新冠肺炎和正常患者的分析准确率达到95%。©2021卡拉德尼兹技术大学。版权所有。

引用次数: 0

A review on multimodal online educational engagement detection system using facial expression, eye movement and speech recognition 基于面部表情、眼动和语音识别的多模式在线教育参与检测系统综述

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3667

R. Angeline, A. Nithya

During this lockdown period, an online educational engagement system plays a vital role to enrich the knowledge of learners in various fields without interrupting their learning process. Online educational engagement systems include all the activities of a learner like listening, reading, writing, and so on. While participating in these activities, a participant may show various levels of engagements like fully engaged, partially engaged and completely not engaged. The participation of online learners has to be identified for an effective learning process. The existing literature could be classified depending upon the learners’ participation as automatic, semi-automatic and manual. Further it could be sub categorised based on the data types used to identify the engagement system. In this paper, a review on computer based automatic online educational engagement detection systems is presented. Several educational engagement methods are applied for computer based online engagement detection systems. In these systems examining a participant’s presence and attention with the modalities of facial expression, eye movement and speech are found to be a challenging task. In this work, it is also identified that there are few challenges like preparation and usage of proper datasets, identifying suitable performance metrics for different tasks involved and providing recommendations for future enhancement of online educational engagement detection by combining the modalities of facial expression, eye movement and speech are still unattended. Though there are several research gaps involved, an online educational engagement system will help the learners to engage themselves in a productive way of learning and getting evaluated efficiently and effectively during the lockdown period of pandemic disease COVID-19 without interrupting their learning process and gaining knowledge. © 2021 Karadeniz Technical University. All rights reserved.

在封锁期间，在线教育参与系统在不中断学习过程的情况下，在丰富学习者各个领域的知识方面发挥着至关重要的作用。在线教育参与系统包括学习者的所有活动，如听力、阅读、写作等。在参与这些活动时，参与者可能会表现出不同程度的参与，如完全参与、部分参与和完全不参与。为了有效的学习过程，必须确定在线学习者的参与情况。根据学习者的参与程度，现有文献可分为自动、半自动和手动。此外，可以根据用于识别参与系统的数据类型对其进行细分。本文综述了基于计算机的在线教育参与自动检测系统。几种教育参与方法被应用于基于计算机的在线参与检测系统。在这些系统中，用面部表情、眼球运动和言语的方式来检查参与者的存在和注意力是一项具有挑战性的任务。在这项工作中，还发现了一些挑战，如准备和使用合适的数据集，为所涉及的不同任务确定合适的性能指标，以及通过结合面部表情、眼动和语音的模式为未来增强在线教育参与检测提供建议，这些挑战仍然无人关注。尽管存在一些研究空白，但在线教育参与系统将帮助学习者在新冠肺炎疫情封锁期间以高效、有效的方式进行学习和评估，而不会中断他们的学习过程和获取知识。©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

The effect of work life balance on motivation in implementing wfh policies during the covid-19 pandemic 在covid-19大流行期间，工作与生活平衡对实施卫生保健政策动机的影响

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3144

N. Ramadhan, N. Wijaya

This study aims to determine the effect of work life balance on employee motivation during the implementation of WFH policies in dealing with the COVID-19 pandemic. Descriptive research method was used to get informations of the quality work life balance and motivation. Causal research method was used to know how the influence of work life balance on motivation. Survey questionnaire was used to collect the datas from 69 employee of a telecommunications company in Bandung. The results showed that the work life balance and work motivation of the employees were in the high category even in a pandemic condition. By using multiple regression analysis, the result revealed that work life balance has significant positive influence on motivation by 37,4%. © 2021 Karadeniz Technical University. All rights reserved.

本研究旨在确定在应对COVID-19大流行的WFH政策实施过程中，工作生活平衡对员工动机的影响。采用描述性研究方法，对工作生活质量、工作生活平衡和工作动机进行研究。运用因果研究方法，了解工作与生活平衡对工作动机的影响。采用问卷调查法对万隆市某电信公司69名员工进行问卷调查。结果表明，即使在疫情条件下，员工的工作生活平衡和工作动机仍处于较高水平。多元回归分析结果显示，工作生活平衡对员工的工作动机有显著的正向影响，影响幅度为37.4%。©2021卡拉德尼兹技术大学。版权所有。

引用次数: 1

COVID-19 future forecasting using supervised machine learning models 使用监督机器学习模型进行新冠肺炎未来预测

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3586

N. Jayanthi, Sumithra R. Gitanjaliwadhwa, T. Y. Sri

The spread of COVID-19 in the entire world has put the humankind in danger. The assets of probably the biggest economies are worried because of the enormous infectivity and contagiousness of this illness. The ability of ML models to conjecture the quantity of forthcoming patients influenced by COVID-19 which is by and by considered as a likely danger to humanity. Specifically, four standard estimating models linear regression (LR), least total shrinkage and determination administrator (LASSO) Support vector Machine (SVM) have been utilized in this examination to figure the undermining components of COVID-19. Three sorts of expectations are made by every one of the models, for example, the quantity of recently tainted cases, the quantity of passing, and the quantity of recuperations But in the can't foresee the precise outcome for the patients. To defeat the issue, Proposed strategy utilizing the exponential smoothing (ES) anticipate the quantity of COVID-19 cases in next 30 days ahead and impact of preventive estimates like social seclusion and lockdown on the spread of COVID-19. © 2021 Karadeniz Technical University. All rights reserved.

新冠肺炎在全世界的传播使人类处于危险之中。可能是最大经济体的资产感到担忧，因为这种疾病具有巨大的传染性和传染性。ML模型推测受新冠肺炎影响的即将到来的患者数量的能力，这被普遍认为是对人类的可能威胁。具体而言，在本次检查中使用了四个标准估计模型线性回归（LR）、最小总收缩和确定管理员（LASSO）支持向量机（SVM）来计算新冠肺炎的破坏成分。每一个模型都有三种预期，例如，最近感染病例的数量、通过的数量和康复的数量，但实际上无法预测患者的确切结果。为了解决这个问题，利用指数平滑（ES）的拟议策略预测了未来30天新冠肺炎病例的数量，以及社会隔离和封锁等预防性估计对新冠肺炎传播的影响。©2021卡拉德尼兹工业大学。保留所有权利。

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引用次数: 25

The impacts of covid-19 to saudi arabia's economic sector and hajj pilgrimage policy of the kingdom of saudi arabia covid-19对沙特阿拉伯经济部门的影响以及沙特阿拉伯王国的朝觐政策

Q4 Social Sciences

Turkish Journal of Computer and Mathematics Education

Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2823

G. N. Alam, O. Sinaga, D. Roespinoedji, F. Azmi

Saudi Arabia is a state located in the Middle East, which is apart from being one of the largest oil producers in the world, is also the prime destination of religious tourism for Muslims worldwide. Due to the COVID-19 pandemic, all activities in Saudi Arabia have stopped, including Umrah and Hajj pilgrimage. This condition is exacerbated by the fall of the world's oil price that led to a drop in public revenues for the country. In this research, the authors will use the theory of Mercantilism as well as using the qualitative method with the explanatory approach and secondary data to review the case. The findings of this article found that COVID-19 makes an impact on both the economy and religious tourism in Saudi Arabia. © 2021 Karadeniz Technical University. All rights reserved.

沙特阿拉伯是一个位于中东的国家，不仅是世界上最大的石油生产国之一，也是世界穆斯林宗教旅游的主要目的地。由于新冠肺炎大流行，沙特阿拉伯的所有活动都已停止，包括Umrah和朝觐。世界油价下跌导致该国公共收入下降，加剧了这种情况。在这项研究中，作者将使用重商主义的理论，并使用定性的方法与解释方法和二次数据来回顾这个案例。本文的研究结果发现，新冠肺炎对沙特阿拉伯的经济和宗教旅游业都产生了影响。©2021卡拉德尼兹工业大学。保留所有权利。

引用次数: 2

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