Turkish Journal of Computer and Mathematics Education最新文献_第5页

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

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.2756

H. Mohammad, C. Gangadhar

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

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

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

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

{"title":"'new normal' in covid-19 era: The textual analysis of jokowi's speech","authors":"D. Nugraha, Yulia Segarwati, Y. Hartawan, N. Nugraha","doi":"10.17762/TURCOMAT.V12I8.2964","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I8.2964","url":null,"abstract":"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.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":"12 1","pages":"951-955"},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42527124","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

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

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

{"title":"SVM-kNN- IPSO ensemble method for Diagnosis of Novel Coronavirus (COVID-19) with CT images","authors":"W. Hanon, T. A. Wotifi, M. Al-Hamiri","doi":"10.17762/TURCOMAT.V12I8.2743","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I8.2743","url":null,"abstract":"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.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":"12 1","pages":"51-59"},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45780950","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

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

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3191

A. T. Siregar, M. L. Sujatna

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

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3344

J. Yogapriya

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

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I9.3667

R. Angeline, A. Nithya

{"title":"A review on multimodal online educational engagement detection system using facial expression, eye movement and speech recognition","authors":"R. Angeline, A. Nithya","doi":"10.17762/TURCOMAT.V12I9.3667","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I9.3667","url":null,"abstract":"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.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":"12 1","pages":"2013-2022"},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41591657","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

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

Turkish Journal of Computer and Mathematics Education Pub Date : 2021-04-24 DOI: 10.17762/TURCOMAT.V12I8.3144

N. Ramadhan, N. Wijaya

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

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

{"title":"COVID-19 future forecasting using supervised machine learning models","authors":"N. Jayanthi, Sumithra R. Gitanjaliwadhwa, T. Y. Sri","doi":"10.17762/TURCOMAT.V12I9.3586","DOIUrl":"https://doi.org/10.17762/TURCOMAT.V12I9.3586","url":null,"abstract":"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.","PeriodicalId":52230,"journal":{"name":"Turkish Journal of Computer and Mathematics Education","volume":"12 1","pages":"1717-1722"},"PeriodicalIF":0.0,"publicationDate":"2021-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48154920","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: 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

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

引用次数: 2