• Title/Summary/Keyword: 융합모형

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Measurement of floodwater reach time in Gum river using Ubiquitous technology (유비쿼터스 기술을 이용한 금강 홍수도달시간 계측)

  • Hwang, Eui-Ho;Kwon, Hyung-Joong;Lee, Geun-Sang;Koh, Deuk-Koo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.2238-2243
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    • 2008
  • 홍수 방류량 하류 도달시간 산정은 댐운영 및 홍수예경보의 기초자료로 인식되고 있어 정확한 유하시간 산정이 필요하다. 수자원공사에서는 댐 방류에 따른 하류도달시간을 댐운영실무편람('06)에 있는 자료를 활용하여 댐 운영에 활용하고 있다. 금강 하류부의 경우 '97년 금강홍수예경보 자료를 활용하고 있으나, 수치모형 결과 자료로 실측에 의한 검증이 이루어지지 않았다. 댐 방류수에 대한 하류도달 시간에 대한 실측 기술을 확보하여 실측을 통한 수치모형의 검증 및 보완 필요하며, 보정된 수치모형을 이용한 홍수도달시간 실시간 예측을 통한 댐운영의 효율성 확보 및 대내외 검증된 결과 제시가 요구되고 있다. 현재 댐 방류에 따른 하류도달 시간에 대한 실측이 요구되고 있으나, 관련 기술에 대한 국내외 개발 및 적용 사례가 전무한 실정으로 본 연구에서는 현장계측과 수치모형을 연계한 신뢰성 높은 도달시간을 분석하는 기술을 개발하고자 하였다. 이를 위해 장구간 내에서 홍수의 흐름과 동일하게 하천에 흘러갈 수 있는 부유물을 개발하였으며, 주야간에 상관없어 주요 계측지점에서 도달시간 산정을 위해 자동 인식될 수 있는 센서기술을 개발하였다. 또한, 인식된 센서를 안정적으로 통신망에 연동하여 실시간 계측이 가능하며, GIS 기반의 원격 모니터링이 가능하도록 시스템을 구성하였다. 나아가. 기존 수치모형에 의존하여 예측된 도달시간 산정방법을 개선하기 위하여 수치모형의 매개변수를 검보정을 위한 시계열 및 지속적으로 자료를 취득하였다. 이러한 센서기술, 모니터링기술, 분석기술을 융합하여 향후 매개변수를 보정한 홍수도달시간 수치모형을 이용하여 신뢰성 높은 예측결과를 홍수예경보 및 댐 운영에 있어 활용함으로써 홍수재해로부터 안전성을 확보하고 물관리의 효율화를 달성할 수 있을 것으로 판단된다.

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Model Patient Safety Management Activities for Nursing Students with Clinical Experience (임상실습 경험이 있는 간호대학생의 환자안전 관리 활동 구조모형)

  • Jae-Woo Oh
    • Journal of Industrial Convergence
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    • v.22 no.3
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    • pp.121-135
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    • 2024
  • This study is a structural equation modeling study that describes patient safety incident management activities for nursing students with clinical practice experience and uses Ajzen's theory of planned behavior and safety culture climate-safety behavior model as conceptual bases, proposes a hypothetical model of nursing students' patient safety incident management activities based on the literature review, and verifies the appropriateness of the model and hypotheses through the collected data. Data were collected from 251 nursing students with clinical practice experience using a structured questionnaire. The results of this study confirmed that the model is appropriate and that patient safety management attitude, patient safety culture, and safety motivation are predictors of nursing students' patient safety management activities. Therefore, in order to improve patient safety management activities, it is necessary to provide effective patient safety incident management education programs for nursing students so that nursing students can perform correct patient safety management behaviors from the clinical practice site to the clinical practice site after graduation, and it is necessary to explore how to continuously lead such education programs to the practice site.

Study on Converged English-Science Teaching Methods Using the PBL Model in Elementary Schools (PBL 모형을 적용한 초등학교 영어·과학 융합 수업)

  • Park, In-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.78-83
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    • 2020
  • The information and knowledge of modern society in the 2lst century is changing rapidly. Based on this social change, the ministry of education introduced STEAM (Science Technology Engineering Art Music) in 2011 to foster creative convergence talents. Therefore, this study is based on the PBL model that learners participate in the class voluntarily to develop appropriate talents in the 21st century. The combined subjects were English, which is the world's official language, and Science, which is found in almost all the fields with the development of the 4th industrial revolution. As a result, learners could define the problems and solutions during the English class and take part in the group activity actively to obtain the problems and solutions of environmental pollution during the Science class. Through this, learners answered that they had a great understanding of learning (86%), high motivation for learning (100%), improved self-confidence (100%), and improved collaboration and creativity (100%). Unfortunately, this study does not progress actively due to the entrance exams, which still require accurate answers rather than the necessity and effectiveness of convergence education. To foster talents suitable for the present age, more active research should be applied to a range of educational sites.

Analysis of the impact relationship between business culture's type and creating performance of convergence corporate (융합기업의 기업문화형태와 성과창출과의 영향 관계 분석)

  • Choi, Seung-Il;Kim, Dong-Il
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.169-176
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    • 2015
  • This study try to analyze the relationship between the corporate culture type and performance about convergence corporate. In addition, we developed a model that fix this research to analyze the business culture and firms type in order to perform this study overall. In the daily operations of an organization's culture can be a source of corporate competitiveness, it may be classified as an important factor in the performance of the organization to promote. In other words, the organizational culture as well as be able to describe an individual's attitudes and behavior, microscopic, macroscopic analysis of organizational behavior can serve to connect conceptually each others and through this process can be seen as contributing to the achievement creation. Therefore, analyzed the influence of the relationship between corporate culture and performance form the basis of this study and research model was validated. Corporate culture in the form of the convergency enterprise found out the strong relationship with job satisfaction and organizational commitment in the research result. Finally, this research results are expected to be a useful guide as a basis for the creation and management of companies with a corporate culture in the near future convergence corporation.

Analysis of Early Childhood Teachers' Stages of Concern and Level of Use about STEAM : Focusing on Concern-Based Adoption Model (융합인재교육(STEAM)에 대한 유아교사의 관심단계와 활용수준 분석: 관심중심수용모형을 중심으로)

  • Lee, Suki
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.347-358
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    • 2021
  • The purpose of this study was to investigate the stage of concern and use level of early childhood teachers' STEAM, and to find out whether there is a difference in the stage of concern according to individual teachers' variables. The subjects were 242 teachers in charge of 3-5 years old kindergarten and daycare center in G city. The research tool was the stages of concern questionnaire (SoCQ). The collected data were converted to relative intensity by applying percentile conversion chart in the guidelines, and this was expressed as a concern profile graph, and t-test and ANOVA were performed to find out the difference in concern according to teacher's background variables. The research results are as follows. First, the stage of concern in early childhood teachers' STEAM was identified as a critical non-user profile. Second, the stage of concern in the teacher's STEAM was judged as a person who did not use, or was implemented for less than 2 years, and was a non-user or a novice. In addition, it was found that most of the teachers did not receive formal education for STEAM. third. There were differences in the educational background, career, current execution status of teachers, whether or not to take related courses in pre-service teacher education, and whether to plan for future implementation. And there were no differences in the majors and institution types of teachers. Based on these results, a support plan for changing the stage of concern of teachers about STEAM and improving the level of use was suggested.

Lesson Recommendations and Learning Effect of College English Class (교양 영어 수업 제안과 학습효과)

  • Park, Joo Eun
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.235-242
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    • 2022
  • The purpose of this study is to propose an effective class of College English, one of the essential liberal arts subjects of S University, and to analyze the learning effect. This subject targets students with different majors in the first grade, and the learning goal is to improve their reading skills by analyzing students' English skills, especially sentences, as grammatical elements in everyday situations. This thesis examines how College English classes can be conducted in the form of convergence class in the COVID-19 era to induce students' learning motivation and create learning effects. The form of this convergence class is as follows. First, lecture videos, second, Webex real-time non-face-to-face classes, and third, face-to-face classes. In this study, the class procedure of the first class among the classes that were actually conducted during the semester was presented as an example. The researcher specifically surveyed the pre-class questionnaire and conducted the class by grasping the students' English skills and characteristics of the learners through the results. And after taking the course, the questionnaire was surveyed into 30 items and the results were analyzed. Specifically, the results of satisfaction with the composition of the lecture, satisfaction with the lecture video, satisfaction with the face-to-face class, interaction with students, and learning effects were analyzed. This class proposal is a learner-centered model in the form of convergence.

Discovering Promising Convergence Technologies Using Network Analysis of Maturity and Dependency of Technology (기술 성숙도 및 의존도의 네트워크 분석을 통한 유망 융합 기술 발굴 방법론)

  • Choi, Hochang;Kwahk, Kee-Young;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.101-124
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    • 2018
  • Recently, most of the technologies have been developed in various forms through the advancement of single technology or interaction with other technologies. Particularly, these technologies have the characteristic of the convergence caused by the interaction between two or more techniques. In addition, efforts in responding to technological changes by advance are continuously increasing through forecasting promising convergence technologies that will emerge in the near future. According to this phenomenon, many researchers are attempting to perform various analyses about forecasting promising convergence technologies. A convergence technology has characteristics of various technologies according to the principle of generation. Therefore, forecasting promising convergence technologies is much more difficult than forecasting general technologies with high growth potential. Nevertheless, some achievements have been confirmed in an attempt to forecasting promising technologies using big data analysis and social network analysis. Studies of convergence technology through data analysis are actively conducted with the theme of discovering new convergence technologies and analyzing their trends. According that, information about new convergence technologies is being provided more abundantly than in the past. However, existing methods in analyzing convergence technology have some limitations. Firstly, most studies deal with convergence technology analyze data through predefined technology classifications. The technologies appearing recently tend to have characteristics of convergence and thus consist of technologies from various fields. In other words, the new convergence technologies may not belong to the defined classification. Therefore, the existing method does not properly reflect the dynamic change of the convergence phenomenon. Secondly, in order to forecast the promising convergence technologies, most of the existing analysis method use the general purpose indicators in process. This method does not fully utilize the specificity of convergence phenomenon. The new convergence technology is highly dependent on the existing technology, which is the origin of that technology. Based on that, it can grow into the independent field or disappear rapidly, according to the change of the dependent technology. In the existing analysis, the potential growth of convergence technology is judged through the traditional indicators designed from the general purpose. However, these indicators do not reflect the principle of convergence. In other words, these indicators do not reflect the characteristics of convergence technology, which brings the meaning of new technologies emerge through two or more mature technologies and grown technologies affect the creation of another technology. Thirdly, previous studies do not provide objective methods for evaluating the accuracy of models in forecasting promising convergence technologies. In the studies of convergence technology, the subject of forecasting promising technologies was relatively insufficient due to the complexity of the field. Therefore, it is difficult to find a method to evaluate the accuracy of the model that forecasting promising convergence technologies. In order to activate the field of forecasting promising convergence technology, it is important to establish a method for objectively verifying and evaluating the accuracy of the model proposed by each study. To overcome these limitations, we propose a new method for analysis of convergence technologies. First of all, through topic modeling, we derive a new technology classification in terms of text content. It reflects the dynamic change of the actual technology market, not the existing fixed classification standard. In addition, we identify the influence relationships between technologies through the topic correspondence weights of each document, and structuralize them into a network. In addition, we devise a centrality indicator (PGC, potential growth centrality) to forecast the future growth of technology by utilizing the centrality information of each technology. It reflects the convergence characteristics of each technology, according to technology maturity and interdependence between technologies. Along with this, we propose a method to evaluate the accuracy of forecasting model by measuring the growth rate of promising technology. It is based on the variation of potential growth centrality by period. In this paper, we conduct experiments with 13,477 patent documents dealing with technical contents to evaluate the performance and practical applicability of the proposed method. As a result, it is confirmed that the forecast model based on a centrality indicator of the proposed method has a maximum forecast accuracy of about 2.88 times higher than the accuracy of the forecast model based on the currently used network indicators.

Application of Habitat Suitability Models for Assessing Climate Change Effects on Fish Distribution (어류 분포에 미치는 기후변화 영향 평가를 위한 서식적합성 모형 적용)

  • Shim, Taeyong;Bae, Eunhye;Jung, Jinho
    • Ecology and Resilient Infrastructure
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    • v.3 no.2
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    • pp.134-142
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    • 2016
  • Temperature increase and precipitation changes caused by change alter aquatic environments including water quantity and quality that eventually affects the habitat of aquatic organisms. Such changes in habitat lead to changes in habitat suitability of the organisms, which eventually determines species distribution. Therefore, conventional habitat suitability models were investigated to evaluate habitat suitability changes of freshwater fish cause by change. Habitat suitability models can be divided into habitat-hydraulic (PHABSIM, CCHE2D, CASiMiR, RHABSIM, RHYHABSIM, and River2D) and habitat-physiologic (CLIMEX) models. Habitat-hydraulic models use hydraulic variables (velocity, depth, substrate) to assess habitat suitability, but lack the ability to evaluate the effect of water quality, including temperature. On the contrary, CLIMEX evaluates the physiological response against climatic variables, but lacks the ability to interpret the effects of physical habitat (hydraulic variables). A new concept of ecological habitat suitability modeling (EHSM) is proposed to overcome such limitations by combining the habitat-hydraulic model (PHABSIM) and the habitat-physiologic model (CLIMEX), which is able to evaluate the effect of more environmental variables than each conventional model. This model is expected to predict fish habitat suitability according to climate change more accurately.

Proposals to improve government funding of domestic start-up businesses through Living Lab: Focus on Korea Credit Guarantee Fund (사용자 주도의 개방형 혁신을 통한 국내 스타트업 대상의 정부 자금지원 개선 방안 제언: 신용보증기금을 중심으로)

  • Park, Jun-Su
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.301-312
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    • 2018
  • The purpose of this study is to propose strategies for enhancing competitiveness through the utilization of policy funds, especially in the start-up companies supported by the Korea Credit Guarantee Fund. And then, the Korea Credit Guarantee Fund should develop 'user-centered policy funding model' in order to increase start-up's utilization of policy fund and support start-ups that are supported in the long run. The competitiveness of domestic start-up companies has been strengthened by 'user-centered policy funding model' and new innovations have been introduced through 'Living Lab', an open innovation. But, in order to overcome the limitation of reaching the stage of commercialization, the 'user-centered policy funding model' proposed in this study enables start-ups to be the subject of actual policy funding, and also allows users to freely apply for necessary funding at any time. Therefore, the Korea Credit Guarantee Fund has a significance in suggesting 'user-centered policy funding model' as a support model to be customized. However, since SMEs recognize the actual situation and limit acceptance of all the difficulties, the systematic analysis of the actual situation of the policy funds of the start-up by the credit guarantee fund and the related support institutions for the scientific approach of the user-oriented policy funding model need.

Development of health education program model of young children for prevention and management of fine dust based on e-book using QR code (미세먼지 예방 및 관리를 위한 QR 코드 활용의 e-book 기반 유아건강교육 프로그램 모형 개발)

  • Kim, Rae-Eun;Koo, Sang-Mee
    • Journal of the Korea Convergence Society
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    • v.10 no.8
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    • pp.171-179
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    • 2019
  • This study was to develop the health education program model of young children based on e-book using QR code to prevent and manage fine dust. We developed program to prevent and manage fine dust for young children' health through in-depth discussions with 2 young children's health experts and 3 young children education experts, and developed the e-book using QR code. The program model for fine dust's prevention education based on e-book using QR code was verified for suitability as a field adaptation and teaching medium for 5-year old. The results of this study are as follows: First, the program model for fine dust's prevention education based on e-book using QR code was developed through 3 stages of appreciation activity-central activity-finishing activity. Second, the e-book using QR code is a useful teaching medium applicable to fine dust's prevention education program. In conclusion, the e-book-based fine dust's prevention education program using QR code will be used as an appropriate education method for fine dust's prevention and health management activities in the field of education for young children.