Reviewerly/exHarmony huggingface dataset:
An Integrative Literature Review of Vocational Training on Electrical Occupation in Korea

본 연구는 Torraco(2016)의 통합적 문헌 연구를 활용하여 전기직종 직업훈련에 관한 연구문헌을 수집 및 선정하고, 연구 방향에 맞는 분석 틀을 마련하여 전기직종 직업훈련의 연구 동향을 분석하였다. 총 56건의 전기직종 직업훈련에 관한 연구문헌을 수집하였고, 해당 연구문헌을 분석 후에 이를 종합하여 향후 전기직종 직업훈련의 연구에 관한 방향성과 시사점을 제시하였다. 분석 결과, 1998년에 연구가 시작되어 현재까지 꾸준하게 전기관련 공학 학술지 학회를 중심으로 연구가 수행되었다. 다만 소프트웨어 훈련장비개발 분야의 연구가 편중되었고, NCS 소분류로는 “03.송배전설비”에 연구가 편중되어 있다. 이에 향후 연구에서는 연구가 편중된 원인분석을 위한 연구와 함께 직업훈련으로서 필요로 하는 전기직종 NCS 소분류를 재정비하는 추가적인 후속연구 수행이 필요하다. 또한, 대부분의 연구가 방안만 제시하고 그에 관한 효과를 검증하는 추가적인 실증연구를 수행하지 않았다. 향후 연구에서는 방안 제시뿐만 아니라 그것이 실제 훈련에서 사용되었을 때 어떠한 정적(+) 또는 부적(-) 영향을 주는지에 관하여 실증연구도 함께 수행될 필요가 있다. 또한, 훈련의 종류에 따라 훈련 참여자의 전문성 향상을 촉진시키는 요인이 무엇인지 검증하는 다양한 관점의 HRD 연구가 필요하다. 마지막으로 전기직종 직업훈련에서의 KQF 구축을 위한 추가적인 후속 연구를 수행하여 산업현장과 직업훈련의 상호 연동을 통한 훈련 참여자의 전문성 향상에 기여할 필요가 있다.This study collected research documents on vocational training in electrical occupations using Torraco(2016)'s integrative literature review, and analyzed the research trends of vocational training in electrical occupations based on an analysis framework for vocational training. A total of 56 research documents on vocational training in the electric field were collected, and after analyzing the relevant research documents, the direction and implications for future research in vocational training of electrical occupation were presented. As a result, research on vocational training for electrical occupations began in 1998 and has been steadily conducted in the academic societies of electrical engineering as well as vocational training. However, it was found that limited research has been conducted, focusing on software training equipment development or field of “03.Power transmission and Power distribution facilities”, a subcategory of NCS. Therefore, a further research is needed to identify the context and causes of biased research on some limited subjects, and additional follow-up studies are recommended to figure out the NCS subcategories of electric occupations for which vocational training should be supported. It was also confirmed that the empirical research on vocational training of electrical occupation was insufficient. In future research, it is necessary to carry out not only the proposal but also an empirical study on what kind of positive (+) or negative (-) effects it has when used in actual training. In addition, HRD research from various perspectives is needed to verify what factors promote the professionalism of training participants according to the type of training. Lastly, follow-up research should be conducted additionally to establish KQF for electric vocational training that helps trainees' professional development by linking industrial sectors with vocational training.
A Study on the Model of Career Anchor Career Competency Development Program for Middle School Students Using Gamification

본 연구의 목적은 중학생들이 재미있게 자신의 진로 역량을 기를 수 있도록 게임화를 적용한 커리어앵커 진로 역량개발 프로그램 모형을 개발하는 것이다. 이를 위해 선행연구 및 문헌분석, 요구조사를 실시하여 모형의 핵심가치와 설계원리, 초안을 도출하였으며 전문가 형성평가를 통해 초안을 수정 및 보완한 후 현장적용을 거쳐 모형의 최종안을 개발하였다. 연구결과 모형의 핵심가치는 ‘커리어앵커를 통한 나 이해, 미래 직업 세계와 나 연결, 창의적 미래 직업 설계, 재미있고 적극적인 진로활동’으로, 게임화를 통한 설계원리는 ‘명확한 목표와 규칙, 실제와 연계된 흥미로운 이야기, 선의의 경쟁, 신속한 피드백과 보상, 소집단 중심’으로 도출하였다. 핵심프로세스는 ‘내가 바라보는 나’→‘나의 참모습’→‘변화하는 직업 세계’→‘미래 나의 직업 창직하기’→‘미래 나의 직업 역할찾기’→‘미래 나의 직업 가상체험하기’→‘미래 역량찾기’→‘실천계획서 작성하기’로 구성하였으며 각 단계별 활동내용과 지원요소를 제공하였다. 본 연구는 게임화를 적용한 커리어앵커 진로 역량개발 프로그램 모형을 개발함으로써 중학생들이 자신의 진로경향성에 대해 알아가고 보다 즐겁게 진로를 탐색하며 자기주도적으로 진로를 설계할 수 있는 진로 역량을 개발할 수 있을 것으로 기대한다.The purpose of this study was to develop career competence development model for middle school students based on career anchor through gamification for help middle school students develop their career competencies in a fun way. To achieve the purpose of this study, I derived core values and design principles of the model by analysing literature, demands from field of the education. After modifying and supplementing the draft through expert formative evaluation, the final draft of the model was developed through field application. As a result of, the core values of the model were ‘to understand oneself by finding one's own career anchor’, ‘to link oneself with the world of work in future’, ‘to creative design for future of job’ and ‘to career activities with fun and active’. The design principles according to career activities with gamification through is articulate goals and rules, interesting stories, friendly competition, immediate feedback and rewards and interaction through team activities. The core process is ‘I see myself’ → ‘My true self’ → ‘The changing world of work’ → ‘Creating my future job’ → ‘Finding my future job role’ → ‘Virtual experience of my future job’ → ‘Future competency’ It consists of ‘Finding’ → ‘Writing an action plan’, and the activity contents and support elements for each stage are provided. The results of this study suggest that model of gamification applied career competence development program this empirical research will enable middle school students to explore their career paths and design for career plans.
Protection of Users Kids on Twitter Platform Using Naïve Bayes

Twitter spam has for quite some time been a basic yet troublesome issue. Most kids’ users are not alert on spam issues while accessing the twitter account that will give harm without their acknowledgment. Up until now, scientists have fostered a progression of Machine Learning (ML) based strategies and boycotting procedures to distinguish spamming exercises on Twitter. To recognize spam, it had been ordered into various fields (counterfeit news, counterfeit connections, and substance), spam is identified based on these classes through ML techniques. In this paper, an experimental study is conducted by using ML algorithms to classify whether the tweet is spam or not. This can be done using Bayes theorem, a probabilistic theory is given by Naïve Bayes. Dataset is downloaded from the KAGGLE site which contains the dataset of spam and genuine tweets. The information preprocessed by standard articulations for the expulsion of undesirable information. The element will be changed over into a vector by applying all the arrangement strategies to the information. Term Frequency Inverse Document Frequency (TF-IDF) vectorizer will be utilized for changing over text into vector. Based on the results, The Naïve Bayes (NB) classifier achieved 98% accuracy result on the dataset compared to KNN and SVM.
YouTube Sentiment Analysis: Performance Model Evaluation

Social media platforms such as YouTube and Twitter have emerged as important information sources for studying people’s opinions. Many researchers have proposed sentiment analytical models to extract and analyse peoples’ sentiments and opinions from these platforms automatically. YouTube, as the most popular social media platform, has a large number of users who express their opinions, in terms of comments, daily. However, a few studies have been conducted to sentimentally analyse YouTube comments, especially Kids’ YouTube videos. In this chapter, we proposed a sentiment analysis model evaluation, based on seven machine learning classifiers, to select the most effective classifiers for analysing YouTube’s comments. We also examined the performance of each classifier using different features. The proposed sentiment analysis model achieved a higher accuracy that reached 96% when using the support vector machine with the N-grams features.
Review on the Social Media Management Techniques Against Kids Harmful Information

The world is developing quickly, and new technological innovations are emerging like grotesque critters. Social media is one of the most powerful forces available to modern generation so, the ability of man to freely communicate his opinions on the internet cannot be ignored. The majority of people in our world are still unaware that social media is now considered to be not just something that adults use but also something that youngsters and kids must use. The information must then be screened to ensure that it doesn't negatively affect human cognition in any manner and to make the internet a safer place for everyone. People disseminate inaccurate information or inappropriate content to attract fans on various sites; they disseminate damaging information or improper material, such as violent photographs and videos, irrelevant or abusive material, sexual content, cyberbullying, etc. There are several methods available, some of which have been detailed below, to detect this hazardous material. Through several databases, information from earlier work in this field has been gathered to know the prior studies concerning this notion. Numerous techniques, including deep learning and machine learning algorithms, have been chosen as the finest alternatives. This chapter gives a review on the existing methods and the management’s tool on the kid’s cyber security and one may learn from this Chapter how to improve knowledge acquisition in the digital age. Finally, this Chapter examines the challenges that come up while endeavoring to detect the harmful information that has been affecting kids’ minds. And it would be helpful regarding the main concept of algorithm involved in content analysis in addition; this chapter will be beneficial to many researchers in area on kids’ cyber security.
Bima script handwriting pattern recognition using histogram of oriented gradients and backpropagation classification method

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Mustiari, Fitri Bimantoro, Gibran Satya Nugraha, Ario Yudo Husodo; Bima script handwriting pattern recognition using histogram of oriented gradients and backpropagation classification method. AIP Conf. Proc. 21 February 2023; 2482 (1): 020008. https://doi.org/10.1063/5.0111795 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Perception of learning communication using google meet in Malikussaleh University environment

The purpose of this study is to analyse how learning communication is carried out at Malikussaleh University using google meet which is carried out during online learning. This research uses qualitative methods. The data collection methods used are interviews, observation and documentation. Data sources come from primary data and secondary data. The data analysis techniques used are data reduction, data presentation and conclusion drawing. The results of this study are that learning communication using google meet is considered less effective in learning and has advantages and disadvantages when used during learning. using google meet has disadvantages such as requiring a stable signal, using a lot of quota, and consuming a large mobile phone memory capacity because lecture material is sent via email or whatsap, then a little difficult to be interactive and an inadequate learning environment causes unfocused learning and sore eyes and fatigue due to staring at the screen for a long time and many students become passive.
The Case for Central Bank Digital Currencies

The last five years have seen a seismic shift in the debate on digital currencies. Not only in response to private-sector developments on crypto assets and stablecoins, several central banks around the world have embraced the idea of issuing some kind of central bank digital currency (CBDC). However, many of these initiatives are currently constrained to use cases that involve payment transactions in the retail and wholesale sphere. We argue that for CBDCs to be broadly accepted and not just compete with existing, highly efficient bank-led payment systems, it will require instruments that fulfil all functions of money, i. e. means of payment, unit of account but also store of value, thereby providing an avenue to partially or fully substitute physical cash in a modern world. Further, we acknowledge that a world with potent CBDCs, there might be a new equilibrium between bank deposits and CBDC holdings. This might come with changes to the institutional landscape of the financial system, with financial institutions regrouping around their basic functions of capital, credit and information intermediation and risk management. As such, a CBDC should in the long run be judged against the objective of preserving trust in the financial system and making it more effective and efficient rather than preserving current structures. Finally, we argue that a CBDC that is hampered by disproportionate non-financial considerations, such as compliance or political concerns, might face stiff competition from private digital currencies in particular in countries that do not issue a reserve currency.
On the Coming of Retail CBDCs: Public versus Private Money

Central banks around the world are considering whether they should issue central bank digital currencies (CBDCs). Many are doing this mainly to become familiar with the problems involved, should other central banks decide to issue them. Some, including the European Central Bank (ECB) and the People’s Bank of China seem more intent on issuing them. Wholesale CBDCs, which would not be available to the general public, pose relatively few problems and could bring identifiable benefits to the international payment system. Retail CBDCs, available to the general public are more controversial. Their advantages to consumers are unclear and the dangers they could bring to financial stability through disintermediation of the commercial banks are obvious. There are solid systemic arguments in favor of CBDCs as a form of public money and as a public interest based counter weight to profit oriented private payment providers, but many of the other advantages touted for CBDCs turn out to be either make weight or contradictory, whereas the danger of disintermediation seems much more real. The central banks believe they can deal with these problems through clever design. But on closer examination, the solution proposed for one problem often comes at the expense of making it more difficult, if not impossible, to achieve one of the other goals. While the central banks have so far devoted a great deal of time and attention to questions of high level policy and technical design, they appear to be just now turning to developing the value proposition for users. The most recent research on public acceptance of CBDCs carried out for the ECB indicates they have quite a long way to go to convince the public and other stakeholders of the advantages of what they are proposing. To the extent they will need legislative action to implement their projects, for example to achieve legal tender status for their CBDCs, a lack of public demand may hinder or at least slow their adoption.
The Case for and against CBDC – five Years later

The pros and cons of central bank digital currencies have been debated intensively since 2016. This paper reviews both the recent arguments in favour of CBDC emphasised by central banks preparing to issue CBDC, and the persistent concerns on CBDC, distinguishing a “dismissive” and a “fearful” perspective. Regarding the latter it is argued that the risks associated with CBDC can be mitigated by an adequate design. It is concluded that central banks should eventually react to the digitalisation of payments through CBDC issuance, even if not necessarily in the very near future, and that they should not give up the important role they had for so long in retail payments.
View these Featured Solutions

Inside Precision MedicineVol. 10, No. 1 MarketplaceView these Featured SolutionsPublished Online:21 Feb 2023https://doi.org/10.1089/ipm.10.01.15AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 10Issue 1Feb 2023 InformationCopyright © GEN PublishingTo cite this article:View these Featured Solutions.Inside Precision Medicine.Feb 2023.59-59.http://doi.org/10.1089/ipm.10.01.15Published in Volume: 10 Issue 1: February 21, 2023PDF download
Comparison of Journal Usage in Rural Sociology Dissertations Using Text Analysis and CD Rank

Our study compares journal citations from dissertations granted at three universities (Penn State, Cornell, and Auburn) using a novel bibliometric approach: text mining. We first tested the validity of text mining as a method for collecting journal title mentions by comparing text mining results with human-tallied results on a set of dissertations. We then text mined a group of dissertations using a preexisting list of journal titles in order to count journal title mentions in combination with the number of dissertations citing each title. The combination of journal title mentions and number of citing dissertations created a ranking for comparison across institutions. Our study presents text mining as a reliable and less time-intensive option for certain types of bibliometric analyses and also shows the utility of a ranked score approach (CD rank) for making cross-institutional citation comparisons.
High-Throughput GPU Random Walk with Fine-Tuned Concurrent Query Processing

Random walk serves as a powerful tool in dealing with large-scale graphs, reducing data size while preserving structural information. Unfortunately, existing system frameworks all focus on the execution of a single walker task in serial. We propose CoWalker, a high-throughput GPU random walk framework tailored for concurrent random walk tasks. It introduces a multi-level concurrent execution model to allow concurrent random walk tasks to efficiently share GPU resources with low overhead. Our system prototype confirms that the proposed system could outperform (up to 54%) the state-of-the-art in a wide spectral of scenarios.
Why not take it easy initially and describe your data?

This chapter starts by looking at the concept of a frequency distribution and the various forms it can take. It then focuses on the process of grouping data and the potential problems that may be encountered along the way. Finally, it examines different types of graphical displays for presenting frequency distributions.
Correction to: Whole-Body Interaction and Representative Applications in Virtual Reality

In the originally published version of chapter 7 an incorrect grant number was erroneously used in the acknowledgements section. The grant number has been corrected.
KLASIFIKASI PENYAKIT HIPERTENSI MENGGUNAKAN METODE SVM GRID SEARCH DAN SVM GENETIC ALGORITHM (GA)

Hypertension is an abnormally high pressure that occurs inside the arteries. Hypertension increased by 8.3% from 2013 based on health research in 2018. Some of the factors that cause hypertension include gender, age, salt consumption, cigarette consumption, cholesterol levels and a family history of hypertension. The data in this study are data on normal and hypertensive patients at the Padangsari Health Center for the period of July – December 2021. This study will classify blood pressure with the aim of obtaining the results of the accuracy of the classification of the methods used. The method used in this study is a support vector machine (SVM). SVM is a well-known algorithm, producing optimal solutions to classification problems. SVM uses kernel functions for separable nonlinear data. The displacement kernels used in this study are linear and RBF. SVM has the disadvantage of determining the best parameters, to overcome these weaknesses developed the method of finding the best parameters. The search for the parameters of this study used grid search and genetic algorithm (GA). Grid search has the advantage of producing parameters that are close to the optimal value, while GA has the advantage of being easy to find global optimum values. This study will compare the classification results of the SVM grid search and SVM GA methods. The results of this study obtained the method that has the best accuracy, namely SVM grid search using a radial base function (RBF) kernel with an accuracy of 89.22%.
Reflections on the Design of Systems that Impact Computers and Society

Having spent the past year post-retirement working with my alma mater, New Mexico State University's (NMSU) Computer Science department to broaden computing, increase student engagement, and to improve graduation completion, as well as reflecting on the state of computing in society at large, I thought I'd share some observations. In March of this year, I had the opportunity to participate in the SIGCSE 2022 Technical Symposium. I was struck by Dr. Shaundra Daily's plenary keynote, entitled "Diversifying Computing: Real Change Must Come from Within", and her use of the phrase "navigating systems that were not designed for me" as she described her exploration of STEM as a first-generation college student, as both a dance and an engineering student, and as a graduate student preparing for motherhood lacking flexibility during her pregnancy, no maternity leave, no livable stipend, and a lack of affordable childcare, as well as the coping strategies she needed to develop to deal with academic culture. In my work with NMSU this past spring, co-teaching a problem solving course, my work this fall advising CS students, and my board roles serving on the National Academy of Science, Engineering, and Medicine's Roundtable for Systemic Change in Undergraduate STEM Education co-chairing the "Culture of STEM" workgroup, on the Computing Alliance of Hispanic Serving Institution's (CAHSI) Advisory Board, and on the Computing Research Association for Widening Participation (CRA-WP), co-editing the "Expanding the Pipeline" column, it's clear that system design adversely impacts society in terms of determining not only who gets to participate in the design of computer hardware and software, but also who gets to advance in social and economic mobility. Academic institutions are complex systems in need of an overhaul, by the University of California's academic workers strike for better pay and benefits. The design and commercialization of AI without fully understanding the implications of bias and ethics is inherently a system design problem. The application to everything from AI generated art and images (and how to spot deep fakes), the ability of large language models (LLMs) to create volumes of text generated articles that appear legitimate with the capacity to spread hate and misinformation globally are but just a few examples of the potentially horrific impact to society, because humans cannot work at the pace and scale to validate and/or authenticate them, with few if any meaningful domestic and international laws or policies in place to safeguard us.