• 제목/요약/키워드: Need-based demand

검색결과 710건 처리시간 0.04초

Development of the Instructional Design Guideline utilizing Goal-based Scenario for Culinary Practice Education

  • Ko, Beom-Seok;Na, Tae-Kyun
    • 한국조리학회지
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    • 제22권1호
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    • pp.141-152
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    • 2016
  • Recently, not only development of curriculum associated directly with job, the development of new education model is in great need. So, the purpose of this study is to develop the instructional design guideline utilizing goal-based scenario(GBS) for college students who major in culinary arts. First, to achieve this goal, we recognized the 7 core elements(learning goal, mission, cover story, role activity, scenario operating, resource, feedback) composing GBS through literature review and case study. Second, we drew a conclusion about the problem and guideline for traditional culinary practice course by conducting inspection about culinary practice environment and needs with professors who are teaching culinary arts. Third, we applied the instructional design guideline for culinary practice to regular classes according to GBS's factors, and then we did formative evaluation with content experts and educational technology expert. Finally, we designed the final instructional design guideline for culinary practice by modifying early model reflected the result of formative evaluation. The results of this study are as following. First, when we applied GBS to culinary practice, professors have to focus on process of materialization by developing easy scenario to students. Also, they have to prepare the class circumstance to feel about sense of realism in advance. Second, to give a conjugally new skill at working, professors's effort is important. culinary practice education at college has responsibility to carry out the vocational training that has competitiveness and difference with labor market's needs. Therefore, it is necessary for us to develop the teaching and learning model for culinary practice which is suitable for major based on the manpower demand for industry without causing job mismatch from demand for industry.

환경영향평가 협의 내용 분석을 통한 데이터 수요 도출방안 - 수환경 분야를 중심으로 - (Derivation of Data Demand through Analysis of Agreed Terms and Conditions on Environmental Impact Assessment - Focusing on the Water Environment -)

  • 황진후;김윤지;전성우;최유영;성현찬
    • 환경영향평가
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    • 제32권1호
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    • pp.29-40
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    • 2023
  • 환경영향평가에 대한 문제점으로 인한 개선 필요성이 제기되고, 데이터 기반의 환경영향평가의 중요성이 증가하고 있다. 본 연구에서는 환경영향평가의 수환경 분야(수질, 수리·수문, 해양환경)의 협의 내용 분석을 통해 데이터 수요를 도출하였다. 수환경 분야의 환경영향평가 협의 내용 총 400건(4,180문장)을 평가항목(수질, 수리수문, 해양환경) 및 환경영향평가 단계(현황조사 추가, 영향예측 및 평가, 저감대책 수립, 사후환경영향조사)별로 분류 후 유형화하였고, 해당하는 협의 내용 유형 별 데이터 수요를 연계하였다. 협의 내용 유형화 결과 수질 분야 18개, 수리·수문 분야 14개, 해양환경 분야 17개의 유형으로 분류되었으며, 데이터 수요 연계 결과 수질 분야 254개, 수리·수문 분야 102개, 해양환경 분야 74개의 데이터 수요가 도출되었다. 평가항목으로는 수질 분야, 환경영향평가 단계 상으로는 저감대책 수립 분야에서의 협의 내용 유형 및 데이터 수요가 가장 높은 빈도로 나타났으며, 세부 협의 내용 유형으로는 비점오염 저감 대책이 가장 많은 빈도로 나타났다. 이는 항목의 상대적 중요도와, 환경영향평가의 주요 목적과 연계된 것으로 판단되었다. 환경영향평가 협의 내용 분석을 통한 데이터 수요의 도출은 환경영향평가서 작성의 고도화에 기여할 수 있으며, 환경영향평가 데이터 체계화를 통해 다양한 의사결정자의 데이터 활용도를 높일 것으로 기대된다.

코로나19의 확산이 대중교통 수요변화에 미치는 영향요인 분석 - 부산광역시를 중심으로 - (The Effects of COVID-19 on Public Transportation Demand: The Case of Busan Metropolitan City)

  • 김민정;김회경
    • 한국지리정보학회지
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    • 제26권3호
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    • pp.1-11
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    • 2023
  • 코로나19의 확산으로 도심의 대량 수송을 책임지는 대중교통 수요가 급격하게 감소하였다. 본 연구에서 코로나19 확산 전 2019년과 확산이 시작된 2020년의 부산광역시 대중교통 카드 데이터를 빅데이터 분석한 결과, 일 평균 92만 통행이 감소하는 것으로 나타났다. 또한, 개별 정류장 단위로 조사한 코로나19 확산 전후의 대중교통 통행량을 읍면동 단위로 통합한 후, 읍면동 단위의 대중교통 통행량 증감 비율을 종속변수로 하고 읍면동의 다양한 특성을 독립변수로 하는 순서형 로지스틱 회귀분석을 통해 대중교통 411수요변화에 유의미한 영향을 미치는 요인을 분석하였다. 그 결과, 기초생활수급자의 비율, 공업지의 면적 비율, 그리고 등교 통행 비율이 높은 읍면동은 코로나19의 확산에도 불구하고 대중교통에 대한 의존도가 높아 대중교통의 수요변화가 크게 나타나지 않았지만, 철도수단 분담률이 높은 읍면동은 코로나19 확산에 따라 대중교통 이용자 수가 큰 폭으로 감소하는 것으로 나타났다. 따라서, 코로나19와 같은 응급 상황에 효율적으로 대응하기 위해서는 획일적인 교통정책보다는 지역의 특성을 고려한 차별적인 교통정책의 수립과 집행이 필요하다.

지역사회기반 호스피스완화케어에서의 의료지원서비스 요구분석 (A Need Analysis for Medical Supporting Service as a Part of Community-based Hospice Palliative Care)

  • 권소희;김숙남;최순옥;김정림;류지선;백정원
    • 보건의료산업학회지
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    • 제10권4호
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    • pp.109-121
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    • 2016
  • Objectives : This study was conducted to investigate the need of medical supporting service (MSS) as a part of community-based hospice palliative care from the view point of beneficiaries and providers. Methods : This study adopted a methodological triangulation design. A questionnaire regarding intention to use MSS was completed by 175 patients under home-based cancer patient management program. And three focus groups consisted of hospice nurses, public health physicians, and public officials were interviewed to obtain the perceived needs, obstacles, and solutions of MSS. Results : Mean age of home-based cancer patient was 70.18 year old, 48.0% of them were living alone. Only 53.7% of them were treated pain and 93.7% intend to take pain medication prescribed by public health physician. All participants of focus group interviews agreed necessity and importance of MSS. Physicians' lack of confidence and unwillingness to prescribe opioid to terminal patients was the biggest obstacle to provide MSS in the public health center. Conclusions : The necessity and demand of MSS for community-dwelling cancer patients were verified. MSS is urgent issue to meet their needs.

Need Assessment for Smartphone-Based Cardiac Telerehabilitation

  • Kim, Ji-Su;Yun, Doeun;Kim, Hyun Joo;Ryu, Ho-Youl;Oh, Jaewon;Kang, Seok-Min
    • Healthcare Informatics Research
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    • 제24권4호
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    • pp.283-291
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    • 2018
  • Objectives: To identify the current status of smartphone usage and to describe the needs for smartphone-based cardiac telerehabilitation of cardiac patients. Methods: In 2016, a questionnaire survey was conducted in a supervised ambulatory cardiac rehabilitation (CR) program in a university affiliated hospital with the participation of heart failure or heart transplantation patients who were smartphone users. The questionnaire included questions regarding smartphone usage, demands for smartphone-based disease education, and home health monitoring systems. Results were described and analyzed according to principal diagnosis. Results: Ninety-six patients (66% male; mean age, $5{\pm}11$ years), including 56 heart failure and 40 heart transplantation patients, completed the survey (completion rate, 95%). The median daily smartphone usage time was 120 minutes (interquartile range, 60-300), and the most frequently used smartphone function was text messaging (61.5%). Of the patients, 26% stated that they searched for health-related information using their smartphones more than 1 time per week. The major source of health-related information was Internet browsing (50.0%), and the least sought source was the hospital's website (3.1%). Patients with heart failure expressed significantly higher needs for disease education on treatment plan, home health monitoring of blood pressure, and body weight (${\chi}^2=5.79$, 6.27, 4.50, p < 0.05). Heart transplantation patients expressed a significant need for home health monitoring of body temperature (${\chi}^2=5.25$, p < 0.05). Conclusions: Heart failure and heart transplantation patients show high usage of and interest in mobile health technology. A smartphone-based cardiac telerehabilitation program should be developed based on high demand areas and modified to suit to each principal diagnosis.

데이터마이닝을 이용한 표준정책 수요 중소기업의 프로파일링 연구: R&D 동기와 사업화 지원 정책을 중심으로 (An Empirical Study of Profiling Model for the SMEs with High Demand for Standards Using Data Mining)

  • 전승표;정재웅;최산
    • 기술혁신학회지
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    • 제19권3호
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    • pp.511-544
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    • 2016
  • 표준은 호환성 증진, 품질확보 및 안정성 증진, 정보제공 등의 긍정적인 기능과 함께 기술혁신을 유발하는 것으로 알려져 있다. 표준의 순기능이 어떤 특정 기업 집단의 기술혁신 활동이나 사업화에 영향을 주는지 밝히는 것은 표준관련 정책을 수요 집단에 맞춰 적절하게 기획하고 집행하는 것을 가능하게 한다. 따라서 본 연구는 표준 정책 수립과 집행에서 증거기반 정책이라는 측면에서 기여하고자 중소기업 중에서 연구개발 동기가 표준 대응인 기업과 기술사업화를 위해서 표준제도 도입이 필요한 기업을 프로파일링하여, 이런 특정 기업을 판별할 수 있는 예측모형을 개발하고자 한다. 이를 위해, 본 연구는 의사결정나무 분석을 통해 표준 대응을 위해 연구개발을 하는 중소기업과 기술사업화를 위해 표준 규격이나 기술인증 정책을 필요로 하는 중소기업의 특징을 데이터마이닝을 통해 프로파일링 했다. 또한 판별분석을 활용하여 프로파일링된 두 가지 조건의 기업군을 몇 가지 변수로 판별할 수 있는 예측모형을 제시하였으며 판별식의 활용 가능성도 통계적으로 확인했다. 연구결과에 따르면 표준 및 규제 대응을 위해 연구개발을 수행하는 기업은 R&D기획 소요기간, 표준산업분류, 종업원 수, 기술의 신규성 등의 변수에서 차이가 있는 것으로 나타났다. 기술사업화를 위한 표준정책지원 수요기업의 프로파일링 결과에 따르면 표준산업분류, 주거래처, 연구개발 소요기간, 시험검사 능력 등의 변수에서 차이가 있었다. 본 연구에서 프로파일링 결과와 판별분석을 통해 제시한 모형은 향후 표준관련 정책을 기획하거나 집행할 때 표준지원을 필요로 하는 기업에 대한 객관적인 정보를 제공하여 표준관련 사업 성공률을 제고하는데 기여할 것으로 기대된다.

가정간편식 제품 개발을 위한 소비자의 요구도 및 선택속성의 중요도-만족도 분석 (A Study on Domestic Consumers' Needs and Importance-Performance Analysis of Selective Attributes for Developing Home Meal Replacement (HMR) Products)

  • 박성배;이현준;김혜영;황혜선;박대섭;홍완수
    • 한국식품조리과학회지
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    • 제32권3호
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    • pp.342-352
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    • 2016
  • Purpose: This study conducted an Importance-Performance Analysis (IPA) of selective attributes of Home Meal Replacement (HMR) as well as it examined the consumers' needs and willingness to buy HMR products to explore the need for developing more HMR products. Methods: This study was conducted among domestic consumers living in Seoul and its metropolitan areas, in the age range from the 20s to the 50s, and who had experience in purchasing HMR products. From the 490 surveys retrieved, 472 (96.3%) valid surveys were analyzed. Results: The analysis of the frequency of consuming HMR products showed the following results: 247 respondents answered '1-3 times a month' (52.3%); 167 respondents stated '1-2 times a week' (35.3%). With respect to the reason of purchase, 'simplicity of the recipe' was the most common, accounting for 188 respondents (39.8%), followed by 'time efficiency' accounting for 172 respondents (36.4%). Analysis of the demand for bibimbap (mixed rice) HMR products showed that 'chicken bibimbap' had the highest preference with 5.32 points, followed by 'bulgogi bibimbap' (5.08 points), and 'kimchi bibimbap' (4.96 points). In the case of HMR products that need to undergo further development, 'low-sodium products' received the highest points of 5.41 points, followed by 'small packaged products' (5.05 points), and 'functional products' (4.98 points). The factor analysis of the 13 selective attributes showed that they can be divided into 3 factors. The IPA analysis of the selective attributes of HMRs showed 'hygiene', 'taste', 'easy to go packaging', 'convenience in intake', and 'accessibility' in the 1st quadrant. In the 2nd quadrant, 'price' and 'freshness' were shown as the factors. In the 3rd quadrant, 'easy to serve', 'familiar food menu', and 'consistent menu' were shown as the leading factors, and in the 4th quadrant, 'saving labor' was the only factor. Conclusion: Based on these results, the research concludes that with respect to developing HMR products, there is a high demand for low sodium, low calorie, small packaged products; thus, showing the need to develop various HMR products for customer satisfaction. Furthermore, it shows that there is a need to consider developing HMR products that can maintain freshness at an affordable price.

국내·외 사용자 기술수요 분석에 따른 모바일 PMIS UI개발 (Developing User Interfaces of Mobile PMIS Modules Based on Technology Demand Analysis)

  • 박경모;이현우;김창덕
    • 한국건축시공학회지
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    • 제14권3호
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    • pp.244-251
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    • 2014
  • 현재 사용되고 있는 PMIS는 사용자의 요구사항을 완벽하게 만족시키지 못하고 있다. 국내 외 PMIS 시스템 사용자의 대부분은, 모바일 PMIS의 개발은 건설현장의 효율성 및 생산성 향상에 도움이 되며 상용화가 필요하다고 생각을 하고 있다. 따라서 모바일 PMIS 개발을 위한 주요 모듈은 공사관리, 문서관리, 공정관리, 현장정보관리 모듈의 구성이 필요하며 이를 위한 각 모듈별 UI설계 및 활용방안의 제시를 통해 시스템 개발을 위한 방향을 제시하였다. 본 연구는 현장 작업자가 공사현장 또는 이동 중에도 태블릿PC 또는 스마트폰과 연계하여 활용하는 모바일 PMIS를 개발하고자 하였다.

앙상블 모델 기반의 기계 고장 예측 방법 (An Ensemble Model for Machine Failure Prediction)

  • 천강민;양재경
    • 산업경영시스템학회지
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    • 제43권1호
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    • pp.123-131
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    • 2020
  • There have been a lot of studies in the past for the method of predicting the failure of a machine, and recently, a lot of researches and applications have been generated to diagnose the physical condition of the machine and the parts and to calculate the remaining life through various methods. Survival models are also used to predict plant failures based on past anomaly cycles. In particular, special machine that reflect the fluid flow and process characteristics of chemical plants are connected to hundreds or thousands of sensors, so there are not many factors that need to be considered, such as process and material data as well as application of derivative variables. In this paper, the data were preprocessed through time series anomaly detection based on unsupervised learning to predict the abnormalities of these special machine. Next, clustering results reflecting clustering-based data characteristics were applied to produce additional variables, and a learning data set was created based on the history of past facility abnormalities. Finally, the prediction methodology based on the supervised learning algorithm was applied, and the model update was confirmed to improve the accuracy of the prediction of facility failure. Through this, it is expected to improve the efficiency of facility operation by flexibly replacing the maintenance time and parts supply and demand by predicting abnormalities of machine and extracting key factors.

MOOS-IvP를 이용한 무인잠수정 제어기 개발의 효용성 (The Effectiveness of MOOS-IvP based Design of Control System for Unmanned Underwater Vehicles)

  • 김지연;이동익
    • 대한임베디드공학회논문지
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    • 제9권3호
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    • pp.157-163
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    • 2014
  • This paper demonstrates the benefit of using MOOS-IvP in the development of control system for Unmanned Underwater Vehicles(UUV). The demand for autonomy in UUVs has significantly increased due to the complexity in missions to be performed. Furthermore, the increased number of sensors and actuators that are interconnected through a network has introduced a need for a middleware platform for UUVs. In this context, MOOS-IvP, which is an open source software architecture, has been developed by several researchers from MIT, Oxford University, and NUWC. The MOOS software is a communication middleware based on the publish-subscribe architecture allowing each application to communicate through a MOOS database. The IvP Helm, which is one of the MOOS modules, publishes vehicle commands using multi-objective optimization in order to implement autonomous decision making. This paper explores the benefit of MOOS-IvP in the development of control software for UUVs by using a case study with an auto depth control system based on self-organizing fuzzy logic control. The simulation results show that the design and verification of UUV control software based on MOOS-IvP can be carried out quickly and efficiently thanks to the reuse of source codes, modular-based architecture, and the high level of scalability.