• 전자공학회논문지 IE
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• 제48권1호
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• pp.36-44
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• 2011

본 연구는 전문대학 공학계열 학생들의 수학 기초학습능력과 문제해결능력 신장을 위한 공학수학 수업모형의 설계원리를 도출하고 개발하는 데 목적이 있다. 본 연구를 위해서 첫째, D 대학 디지털전자과의 교수 학습환경 분석과 함께 산업체 및 졸업생을 대상으로 한 요구분석을 실시하였고, 둘째, 요구분석 결과와 관련 선행연구를 바탕으로 공학수학 수강생들의 기초수학학습능력과 문제해결능력 신장을 위한 수업모형의 기반 설계이론을 도출하였다. 연구 결과, 수업모형의 기반 설계이론으로는 (1) 수학 기본개념과 반복훈련을 통해서 수학 기초학습능력을 높이고, (2) 동료 학습자간 협력적 문제해결활동을 통해서 문제해결능력을 신장하고, (3) 학습자의 성찰을 촉진하고 학습자의 수업활동에 대한 교수자의 체계적인 점검과 즉각적인 피드백을 제공하고, (4) 최근 온라인과 모바일 환경에 익숙한 학습자들이 자기주도적으로 학습할 수 있는 환경을 제공하는 것이다.

• Nuclear Engineering and Technology
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• 제42권4호
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• pp.339-364
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• 2010

Following a joint OECD/NEA-IAEA-sponsored meeting to define the current role and future perspectives of the application of Computational Fluid Dynamics (CFD) to nuclear reactor safety problems, three Writing Groups were created, under the auspices of the NEA working group WGAMA, to produce state-of-the-art reports on different aspects of the subject. The work of the second group, WG2, was to document the existing assessment databases for CFD simulation in the context of Nuclear Reactor Safety (NRS) analysis, to gain a measure of the degree of quality and trust in CFD as a numerical analysis tool, and to take initiatives to extend the existing databases. The group worked over the period of 2003-2007 and produced a final state-of-the-art report. The present paper summarises the material gathered during the study, illustrating the points with a few highlights. A total of 22 safety issues were identified for which the application of CFD was considered to potentially bring real benefits in terms of better understanding and increased safety. A list of the existing databases was drawn up and synthesised, both from the nuclear area and from other parallel, non-nuclear, industrial activities. The gaps in the technology base were also identified and discussed. In order to initiate new ways of bringing experimentalists and numerical analysts together, an international workshop -- CFD4NRS (the first in a series) -- was organised, a new blind benchmark activity was set up based on turbulent mixing in T-junctions, and a Wiki-type web portal was created to offer online access to the material put together by the group giving the reader the opportunity to update and extend the contents to keep the information source topical and dynamic.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.129-138
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• 2021

Several studies have revealed that information on borrower characteristics plays an important factor in approving their credit requests. Though the extent to which such characteritics are also applicable to the case of fintech lending remain uncertain. The aim of this study is, thus, to investigate the determinant factors that influence MSEs in obtaining credit through fintech lending. Here, we emphasize virtual trust in fintech lending encompasing the dimension of social network, economic attributes, and risk perception based on several indicators that are used as proxies. Primary data used in the study was gathered from an online survey to the respondents of MSEs in Java. The result of the study indicates that determinants of MSEs in obtaining credit from lender through fintech lending are statistically influenced by internet usage activities, borrowing history, loan utilization, annuity payment system, completeness of credit requirement documents and compatibility of loan size with the business need. These factors have a significant effect on credit approval because they can generate virtual trust of fintech lender to MSEs as potential borrowers. It concludes that the probability of obtaining fintech loans in accordance with their expectations are influenced by the dimensions of social network, economic attributes and risk perception.

• Journal of Preventive Medicine and Public Health
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• 제54권4호
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• pp.221-229
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• 2021

Objectives: The Indonesian government issued large-scale social restrictions (called Pembatasan Sosial Berskala Besar, or PSBB) at the beginning of the coronavirus disease 2019 (COVID-19) pandemic to control the spread of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Greater Jakarta). Public compliance poses a challenge when implementing large-scale social restrictions, and various factors have contributed to public non-compliance with the regulation. This study aimed to determine the degree of non-compliance and identify the factors that contributed to public non-compliance with the PSBB in Greater Jakarta, Indonesia. Methods: This was a quantitative study with a cross-sectional design. A total of 839 residents of Greater Jakarta participated in this study. Data were collected online using a Google Form, and convenience sampling was undertaken. Univariate and multivariate analyses were performed to explore the relationships between public non-compliance with the PSBB regulation and socio-demographic variables, respondents' opinion of the PSBB, and social capital. Results: A total of 22.6% of subjects reported participating in activities that did not comply with the PSBB. The variables that most affected non-compliance with the PSBB were age, gender, income, opinion of the PSBB, and social capital. Conclusions: Strengthening social capital and providing information about COVID-19 prevention measures, such as washing one's hands with soap, wearing masks properly, and maintaining social distancing, is essential. Robust public understanding will foster trust and cooperation with regard to COVID-19 prevention efforts and provide a basis for mutual agreement regarding rules/penalties.

• 응용통계연구
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• 제32권3호
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• pp.391-404
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• 2019

그동안의 고객 행동에 대한 예측은 주로 고객이 가지는 고정적인 특성을 이용해왔다. 최근에는 점차 고객들의 활동이 오프라인에서 온라인으로 이동하면서 각 고객의 웹 로그를 추적하는 일이 가능해졌다. 그러나 방대한 양의 웹 로그 데이터를 수집할 수 있게 된 반면, 이에 대한 연구는 로그 데이터를 정리하거나 기술적인 특성만을 설명하는 것에 그쳤다. 본 연구에서는 웹사이트 Kaggle에서 제공하는 Airbnb 고객들의 성별, 연령 등의 기본 정보 및 웹 로그가 포함된 데이터셋을 이용하여 첫 숙소 예약까지 걸리는 개인의 의사 결정 시간을 예측하였다. Lasso, SVM, Random Forest, XGBoost 등 다양한 방법론을 활용하여 최적의 모형을 찾고, 웹 로그 데이터의 유무에 따른 예측 오차를 비교하여 웹 로그의 효용성을 확인하였다. 결과적으로 오분류율이 약 20%로 낮은 랜덤 포레스트 분류모형을 최적모형으로 선택하였다. 또한, 웹 로그 데이터를 이용하여 고객 개개인의 행동을 예측한 결과 사용하지 않은 경우와 비교해 예측의 정확도가 최대 두 배 더 높아진 것을 확인할 수 있었다.

• Human Ecology Research
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• 제57권2호
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• pp.225-241
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• 2019

This study develops and validates an objective scale to measure newspaper use at home by elementary school students and parents. We developed a preliminary scale of 59 items through the review of literature on newspaper use and mediation as well as the examination of content validity by education experts. Collected data were analyzed using SPSS 21.0 and AMOS 21.0 programs. A total of 42 items were supported by 703 parents with students in grades 1-6 using exploratory factor analysis. The model included 3 categories and 9 sub-factors: instruction (modeling, restriction, and text instruction), activities (play activity, conversation, online mediation, and scrap activity), and belief (academic achievement and information acquisition). Confirmatory factor analysis confirmed and validated the model fit; in addition, convergent validity, and discriminant validity, and cross validity was confirmed through correlation analysis by gender comparison and grade comparison. We also verified the validity of this scale through correlation analysis based on Yu and Jung (2012)'s newspaper mediation variables and scale in regards to children's motivation for using newspapers. Finally, internal consistency reliability and half reliability were also confirmed. In conclusion, the suitability and stability of home newspaper utilization scale for elementary students (HNUS-E) were confirmed. This scale provides parents and educators with ideas for the development of the children's literacy, cognitive, and affective domains that can be effectively used in research on newspaper use for school-aged children.

• 한국유기농업학회지
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• 제30권2호
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• pp.129-149
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• 2022

In March 2020, the National Assembly revised the Framework Act on Cooperatives, allowing a federation of heterogeneous cooperatives, and in October 2020, the Daegu Gyeongbuk Federation of Local Food Cooperatives was launched as the first federation of heterogeneous cooperatives in the country. The local food movement, which has been promoted upward in the local community as an alternative to the existing global food system, seems to be being activated by the government's food plan policy, but critics say that the government's policy goals are not fully achieved due to the top-down policy promotion and lack of communication. In response, this study first examines the role and significance of the local food federation of heterogeneous cooperatives in solving the problems raised in the process of establishing a food plan. In addition, the current status of the federation was investigated for the successful settlement and development of the Daegu Gyeongbuk Federation of Local Food Cooperatives. A survey of affiliated cooperatives, focus group interviews with managers and experts and related literature surveys were conducted. Based on this, the direction of activities was presented, such as the role of an intermediary in Daegu and Gyeongbuk and the role of an intermediary in the public and private sectors etc. In addition, six joint project tasks were specifically presented, including an integrated information sharing system & a logistics network, a planned production system & a joint processing center, an online sales system & a co-marketing promotion, a joint education system, a management of direct stores & restaurants, a sustainable public-private cooperation system etc.

• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2021년도 학술논문집
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• pp.181-185
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• 2021

본 연구는 학교현장에서 지속적으로 강조되고 있는 학교폭력 예방을 위한 방안을 도출하기 위한 노력의 일환으로 최근의 학교폭력 관련 이슈화되고 있는 주제를 데이터과학의 관점으로 살펴보고자 하였다. 특히, 온라인 SNS데이터를 활용하여 학교폭력 관련 게시물을 크롤링하고 토픽모델링 방법을 활용하여 유형별 특징을 살펴보고자 하였다. 토픽모델링 분석을 통해 도출된 주제별 키워드를 유형별로 정리한 결과를 통해 대체로 학교폭력의 피해 예방과 가해자 처벌 및 조치사안에 대한 내용으로 크게 3가지의 내용으로 구분할 수 있었다. 첫째, 학교폭력 예방활동에 대한 내용으로서 학교폭력예방을 위한 전문 기구들의 역할에 대한 내용이다. 둘째, 학교폭력에 대한 조치사항과 절차에 대한 내용으로 도출되었다. 셋째, 학교폭력의 최근 현안에 대한 내용에 대해서 살펴볼 수 있었다. 추후 연구에서는 데이터기반의 예측을 기반으로 당면하고 있는 사회적 문제해결에 활용하는 연구가 수행될 필요가 있다.

• 한국콘텐츠학회논문지
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• 제22권5호
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• pp.81-96
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• 2022

코비드-19는 사무실 등 특정 공간 내에 사람들의 모임을 최소화할 것을 요구하고 있다. 조직들은 네트워크를 지원하는 온라인 플랫폼 기술을 활용하여, 조직원 간의 정보공유 활동을 장려하고 있다. 최근, 메타버스 플랫폼이 보유한 공간, 경험 등의 실재감 요소가 교환 행동에 도움이 될 수 있다는 관점이 제시되면서, 조직들은 메타버스를 활용한 업무 지원 수준을 높이고 있다. 본 연구는 메타버스 실재감이 조직원의 내적 동기 형성을 통해 지식공유 의도에 미치는 영향과 개인의 디지털 기술 역량의 차이에 의해 지식공유 의도 차이가 존재할 수 있음을 확인하고자 한다. 연구는 가상 현실 등 선행연구를 통해 연구가설을 제시하였으며, 서베이를 통해 확보한 309개 표본을 활용하여 가설 검증을 하였다. 결과는 메타버스의 사회적, 원격, 자기 실재감이 조직 관련 내적 동기(조직 동일시, 가치 일치)를 높여 지식공유 의도에 긍정적 영향을 주었다. 또한, 디지털 기술 역량이 가치 일치와 지식공유 의도 간의 관계를 조절하였다. 본 연구는 메타버스를 활용하여 업무 생산성을 높이고자 하는 조직에 있어 메타버스 실재감 강화의 중요성과 개인의 디지털 역량 강화 지원의 필요성을 제언한다.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.