• 한국농공학회논문집
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• 제63권4호
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• pp.1-12
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• 2021

Agricultural drought is a natural phenomenon that is not easy to observe and predict and is difficult to quantify. In South Korea, the amount of agricultural water used is large and the types of use are varied, so even if an agricultural drought occurs due to insufficient precipitation, the drought actually felt in the irrigated area is it can be temporally and spatially different. In order to interpret the general drought in the past, drought disasters were evaluated using single indicators such as drought damage area, precipitation shortage status, and drought index, and a comprehensive drought management system is needed through drought diagnosis survey. Therefore, we intend to conduct research on agricultural drought assessment and diagnosis using re-evaluation of agricultural facilities and irrigation water supply network due to changes in various conditions such as climate change, irrigation canal network, and evaluation of water supply capacity of agricultural facilities. In this study, agricultural drought diagnosis was conducted on two agricultural reservoirs located in Sangju, Gyeongsangbuk-do, with structural or non-structural evaluations to increase spatiotemporal water supply and efficiency in terms of water shortages. The results of the agricultural drought diagnosis evaluation can be used to identify irrigated areas and canal network vulnerable to drought and to prioritize drought response.

• 디지털융복합연구
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• 제19권7호
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• pp.319-325
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• 2021

도시 재생 사업은 낙후된 상업지역이나 주거지역을 대상으로 경제를 활성화하고 주거 지역의 생활의 개선을 통해서 도시의 공동체를 유지하는 활동이다. 본 연구를 통해서 다양한 국내 및 해외의 도시재생의 성공 사례 및 부산영도 봉산마을 내 도시 재생 관련 설문 내용을 수집하고 분석하였다. 분석에 따른 각 사례별 주요 키워드를 도출하여 이를 그룹화하고 상위 키워드를 작성하였다. 13개의 상위 키워드를 리커트의 5점 척도를 활용하여 평가하였으며, 최종 선정된 10개의 키워드를 대상으로 AHP를 진행하였다. AHP 분석 결과 "공간 및 물리적 속성"에 대한 선호도는 "공공성", "지속 가능성", "정체성" 순으로, "컨텐츠 및 시스템 속성"의 선호도는 "주민 참여", "편의성", "지역성", "지자체 참여" 순으로 도출되었다. 본 연구를 통해서 도출된 도시재생 키워드의 선호도 분석을 통해 향후 보다 더 활성화되는 다양한 도시재생 사업과 관련하여 도시재생 디자인을 수립하기 위한 디자인 가이드라인으로의 역할의 제시가 필요하다.

• 사물인터넷융복합논문지
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• 제7권2호
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• pp.1-6
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• 2021

최근 세계적인 급속한 산업발달과 경제성장으로 한정된 공간에 많은 사람들이 모여 살면서 급속한 도시화가 진행되고 있으며 2050년 세계적 도시 인구비율은 70% 이상으로 추정되고 있다. 급격한 도시화로 인해 재난안전, 대기오염, 수질오염, 에너지 부족, 질병, 범죄, 교통 등 다양한 도시문제 해결을 위해 정부주도의 스마트시티 모델들이 개발 및 도입되고 있다. 하지만 사회간접자본 형태의 사업으로 진행되고 있기 때문에 공공주택의 ICT 기술은 민간시장의 스마트 가전 위주로 개발되어 공공주택 주민을 위한 공공안전, 생활환경, 생활복지, 에너지관리 등의 서비스가 개발되어 주민이 체감할 수 있는 마이크로 스마트 시티 사업이 필요하다. 본 논문에서는 4차 산업혁명시대 스마트 시티를 위한 공공주택의 스마트 플랫폼 화 모델을 설계하고 실증방안을 제시하므로서 국내 스마트시티 분야에 활용할 수 있도록 하였다.

• 융합경영연구
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• 제8권4호
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• pp.1-12
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• 2020

Purpose- The purpose of this study is to increase the effect of public technology transfer through government R&D support to secure the competitiveness of public technology startups. The government's R&D budget in 2019 is over 20 trillion won, and there is a legitimate need to increase the performance of technology startups through such R&D results. Research design, data, and methodology- In this paper, we comprehensively analyzed the current status of public research institutes and R&D support projects suitable for founders and analyzed and presented cases of follow-up research conducted by the Institute of Science and Technology Jobs to analyze actual performance cases of R&D support institutes. Results- In this conclusion, a developmental model of public technology entrepreneurship was proposed to increase the performance of public technology commercialization with the scalability of research institutions. In order to create a public technology information system between consumers and suppliers, a Steinweiss-type technology commercialization model for public technology commercialization, and a job-creating enterprise-type linkage R&D support business model were presented to create the results of R&D support organizations. Conclusions- Through the results of this study, it is meaningful to analyze the performance cases of technology commercialization of R&D support institutions, which have not been studied so far, to build competitiveness of research institutions and to present a growth model for the spread of technology startups. This study has implications in terms of suggesting a way to build competitiveness in technology commercialization between market demanders and suppliers by linking existing public technology startups, which deviated from the simple commercialization support system, with job creation by expanding the R&D support system.

• 한국간호교육학회지
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• 제27권1호
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• pp.59-67
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• 2021

Purpose: The purpose of this study is to examine the effectiveness of Problem-based Learning (PBL) in an interdisciplinary college class. This class was run under the theme of 'Nurse Social Content Creators' (NSCC) in the Korean Nurses Association (KNA)'s industry-university collaborative project designed to promote a positive image of nurses among the public. Methods: Study 1 examined changes in perception about nurses among the PBL participants before and after the program. A one-group pre-post test experimental design was applied, and the data were analyzed using a Wilcoxon signed-rank test. Study 2 identified differences of perceptions of nurses between people who had observed the PBL final presentation and people who had not. A post-test-only with nonequivalent group experimental design was used, and the data were analyzed using a Mann-Whitney U test. Results: Study 1 revealed a significant increase of positive perceptions towards nurses. Study 2 revealed a significant difference between the PBL presentation audience group and the control group. Students who had observed the PBL program showed more positive perceptions of nurses than students who had not. Conclusion: This research is an important study with high practicality in the area of media studies as well as in nursing. The PBL teaching method was proven to be effective in enhancing perceptions of nurses.

• 사물인터넷융복합논문지
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• 제6권4호
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• pp.59-64
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• 2020

최근 전 세계적으로 COVID-19 등의 영향으로 전 부분에서 많은 어려움에 직면하고 있다. 개인적으로는 많은 일자리들이 사라지면서 가계 소득이 가파르게 줄어들고 있으며, 경제적으로는 많은 중소기업들이 파산하는 경우가 증가하고 있는 상황이다. 이러한 현상은 당분간 지속적으로 이어질 가능성이 높은 것으로 알려지고 있다. 이 같은 상황에서 스마트제조혁신추진단에서 시행하고 있는 스마트 공장 지원 사업은 어려운 중소기업들에게 생산성 향상 및 기업 체질을 변화시킬 수 있는 기회를 제공하고 있다. 본 연구에서는 국내외 스마트 공장 지원 사업에 대한 추진 현황을 살펴보고, 국내 스마트 공장 지원 사업에 대한 추진과정에서 발생하고 있는 문제점들을 도출하여 추후 좀 더 효율적인 사업이 추진될 수 있도록 개선안을 도출하였다.

• 디지털융복합연구
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• 제19권1호
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• pp.349-354
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• 2021

본 연구는 코로나-19사태로 인하여 국내가요의 콘서트 시장이 온라인 무대로 옮겨지면서, 온라인콘서트의 사용자 경험을 측정하고, 문제해결을 위한 방안을 제시하는 데 그 목적이 있다. 연구는 K-POP(Korean Pop Music) 온라인 콘서트에 참여한 20-30대 남녀를 대상으로 스티븐 앤더슨(Stephen P. Anderson)이 제안한 감성 인터페이스(Creating Pleasurable Interface)의 6단계 피라미드 구조를 바탕으로 설문조사와 심층 인터뷰를 진행하였다. 연구결과 참여자의 성향과 콘서트 콘텐츠 구성, 플랫폼에서 지원하는 기술과 양질 등 단일 요인이 아닌 다양한 요인들이 사용자 경험 만족에 영향을 미치는 것을 알 수 있었다. 또한, 새로운 기술의 접목은 기술적 완성도가 높을 경우 유희성에 큰 영향을 미치지만, 완성도가 다소 떨어질 경우 부정적 영향을 받는 것을 알 수 있었다. 이 연구를 바탕으로 앞으로 온라인 콘서트 발전 방향에 참고가 되길 기대한다.

• International journal of advanced smart convergence
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• 제10권1호
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• pp.117-124
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• 2021

Based on a result of we research and analysis of this study, it was analyzed that the average annual cremators number using E-Haneul Funeral Information System among the five public cremation facilities in Jeollabukdo was 9,713 in total before the opening of public creation facilities in Jeongeup City (2013-2015), while the number was 12,159 after the opening of public cremation facilities in Jeongeup City (2016-2019); the number was increased by 2,446, compared to the opening period (2013-2015), with a large increase rate of 25.2%. In addition, the average annual cremation rate before the opening of public cremation facilities in Jeongeup City (from 2013 to 2015) was 71.6%, but the average annual cremation rate during the period after the opening (from 2016 to 2019) was 81.5%, which was a large increase rate of 9.9% compared to period before the opening of the facilities. Based on research results above, we have presented policy suggestions in order to increase the efficiency of operation and management of public cremation facilities by local governments as follows. First, in order to prepare for the increase in demand for cremation due to the increase in cremators number, a policy promotion for the expansion of "public cremation facilities" should be carried out as soon as possible, focusing on local governments whose supply has reached the limit. Second, in order to support the expansion and construction of public cremation facilities, the government subsidy rate and government subsidy at the level of current 70%, provided by the central government, should be further expanded. Third, overcoming theNIMBY conflict overlocation for public cremation facilities, theutilization rate should be enhanced, through the joint construction and facility operation of the public cremation facilities between local governments, and the ef iciency of the project implementation should be improved through the jointsharing of the facility operation cost.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.145-150
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• 2021

Patients with Pressure injuries (PIs) may have pain and discomfort, which results in poorer patient outcomes and additional cost for treatment. This study was a part of larger research project that aimed at prediction modeling using a big data. The purpose of this study were to describe the characteristics of patients with PI in critical care; and to explore comorbidity and diagnostic and interventive procedures that have been done for patients in critical care. This is a secondary data analysis. Data were retrieved from a large clinical database, MIMIC-III Clinical database. The number of unique patients with PI was 2,286 in total. Approximately 60% were male and 68.4% were White. Among the patients, 9.9% were dead. In term of discharge disposition, 56.2% (33.9% Home, 22.3% Home Health Care) where as 32.3% were transferred to another institutions. The rest of them were hospice (0.8%), left against medical advice (0.7%), and others (0.2%). The top three most frequently co-existing kinds of diseases were Hypertension, not otherwise specified (NOS), congestive heart failure NOS, and Acute kidney failure NOS. The number of patients with PI who have one or more procedures was 2,169 (94.9%). The number of unique procedures was 981. The top three most frequent procedures were 'Venous catheterization, not elsewhere classified,' and 'Enteral infusion of concentrated nutritional substances.' Patient with a greater number of comorbid conditions were likely to have longer length of ICU stay (r=.452, p<.001). In addition, patient with a greater number of procedures that were performed during the admission were strongly tend to stay longer in hospital (r=.729, p<.001). Therefore, prospective studies focusing on comorbidity; and diagnostic and preventive procedures are needed in the prediction modeling of pressure injury development in ICU patients.

• 한국농공학회논문집
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• 제64권1호
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• pp.39-50
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• 2022

In this study, we suggested the optimal training period for predicting the streamflow using the LSTM (Long Short-Term Memory) model based on the deep learning and CMIP5 (The fifth phase of the Couple Model Intercomparison Project) future climate scenarios. To validate the model performance of LSTM, the Jinan-gun (Seongsan-ri) site was selected in this study. We comfirmed that the LSTM-based streamflow was highly comparable to the measurements during the calibration (2000 to 2002/2014 to 2015) and validation (2003 to 2005/2016 to 2017) periods. Additionally, we compared the LSTM-based streamflow to the SWAT-based output during the calibration (2000~2015) and validation (2016~2019) periods. The results supported that the LSTM model also performed well in simulating streamflow during the long-term period, although small uncertainties exist. Then the SWAT-based daily streamflow was forecasted using the CMIP5 climate scenario forcing data in 2011~2100. We tested and determined the optimal training period for the LSTM model by comparing the LSTM-/SWAT-based streamflow with various scenarios. Note that the SWAT-based streamflow values were assumed as the observation because of no measurements in future (2011~2100). Our results showed that the LSTM-based streamflow was similar to the SWAT-based streamflow when the training data over the 30 years were used. These findings indicated that training periods more than 30 years were required to obtain LSTM-based reliable streamflow forecasts using climate change scenarios.