• 대한간호학회지
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• 제50권2호
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• pp.242-254
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• 2020

Purpose: The purpose of this study was to examine the effects of smart-phone app-based walking exercise programs for taxi drivers on self-efficacy and outcome expectations for exercise, health-related quality of life, walking as an exercise, and physiological indexes. Methods: A nonequivalent control group with a pre-post-test design was used. The subjects were recruited in G metropolitan city. Subjects were assigned to the experimental (n=31) or control groups (n=30). The smart phone app-based walking exercise program consisted of educations via the app, twelve short message services, and one individual telephone counseling session, which was spread over 12 weeks. Results: Self-efficacy, outcome expectations, and health-related quality of life had significantly higher pre-post test differences in scores in the experimental group. Additionally, blood pressure, body mass index, and waist circumference had significantly decreased prepost-test difference levels in the experimental group. Walking as an exercise (which consisted of days walked, number of steps walked, and amount of time walked) had significantly increased in the experimental group after 7~12 weeks in the period following the intervention program rather than 1~6 weeks after the program. Conclusion: The smart phone app-based walking exercise program based on the self-efficacy theory demonstrates a significant effect on improving self-efficacy, outcome expectations physical activities, and health-related quality of life for taxi drivers. Therefore, it is recommended to actively use the program as a tool to promote self-efficacy, physical activities, and health behaviors in taxi drivers.

• 한국환경복원기술학회지
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• 제24권4호
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• pp.61-75
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• 2021

Roadside greenery in the city is not only a means of reducing fine dust, but also an indispensable element of the city in various aspects such as improvement of urban thermal environment, noise reduction, ecosystem connectivity, and aesthetics. However, in studies dealing with the effect of reducing fine dust through trees in existing urban spaces, microscopic aspects such as the adsorption effect of plants were dealt with, structural changes such as the width of urban buildings and streets, and the presence or absence of trees, Impact studies that reflect the actual form of In this study, the effect of greenery composition applicable to urban space on PM2.5 was simulated through the microclimate epidemiologic model ENVI-met, and field measurements were performed in parallel to verify the results. In addition, by analyzing the results of fine dust background concentration, wind speed, and leaf area index, the sensitivity to major influencing variables was tested. As a result of the study, it was confirmed that the fine dust reduction effect was the highest in the case with a high planting amount, and the reduction effect was the greatest at a low background concentration. Based on this, the cost of planting street green areas and the effect of reducing PM2.5 were compared. The results of this study can contribute as a basis for considering the effect of pedestrian space on air quality when planning and designing street green spaces.

• 한국수자원학회논문집
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• 제55권11호
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• pp.855-863
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• 2022

본 연구에서는 서울시 기온 지상관측 자료의 지도화를 위해 Artificial Neural Network (ANN)을 사용하였다. 지도화를 위한 보조자료로는 MODerate resolution Imaging Spectroradiometer (MODIS) 자료를 사용하였다. ANN 모델 설계를 위해 입력자료와 출력자료 간의 산점도 및 통계분석을 수행하였으며, 기온과의 상관성이 비교적 높게 나타나는 입력자료인 지표면온도, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)와 시간(위성관측시각, Day of year), 위치(위도, 경도), 데이터 품질(운량)과 관련된 데이터 종류를 분류 및 조합하여 학습을 진행하였다. 기온자료와 상관성이 높은 데이터만으로 학습을 진행하였을 때 상관계수(r)와 Root Mean Squared Error (RMSE)의 평균값이 0.9667, 2.708℃로 우수한 성능을 보였다. 학습에 사용된 데이터의 종류가 추가될수록 더 우수한 학습 결과를 보였으며, 모든 데이터가 활용될 때에는 r과 RMSE의 평균값이 0.9840, 1.883℃로 가장 우수한 성능을 보였다. ANN 모델으로 생성한 서울시 기온 지도에서는 픽셀별 지형적 특성에 적절하게 기온이 산정된 것으로 판단되며, 추후 연구지역 확대 및 위성자료의 다양화를 통해 시단위 및 전국단위 기온 분포 분석 연구가 가능할 것이다.

• 산업경영시스템학회지
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• 제44권1호
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• pp.71-78
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• 2021

Recently the meaning of the road name address is expended as an information through the revision of the Road Name Address Act. As this revision, the address of things (AoT) become more important indicating the possibility for the expansion to the related business. However, recent study about AoT does not concern how the current priority system works from the first research. In this study, we analyze perception about addressable object between AoT experts and public using AHP analysis. We structured the importance of addressable objects as two categories; urgency and value creation. The necessity in emergency or daily, accessibility and welfare conform the urgency index. Meanwhile, public value creation in public domain or profitability in the business area and economics conform value creation index. We conducted survey for total of 89 of experts and public. The results of this study indicate the relative importance of AoT measured by experts and public. Generally, public tend to concern more about accessibility conforming the urgency index than experts. Moreover, the public WiFi and the sports complex scored the high priority among the remain addressable objects, in respect of the urgency and the value creation. This result could be implemented for the activation of the smart city industry base on the geospatial information including AoT.

• 대한원격탐사학회지
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• 제38권5_3호
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• pp.887-899
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• 2022

기상학적 요인에 의해 발생하는 가뭄은 육상 생태계의 식생에 부정적인 영향을 미친다. 본 연구에서는 기상학적 가뭄이 식생에 영향을 미치는 상태를 식생의 생태가뭄으로 정의하고, 영향 정도를 정량적으로 감시하기 위한 식생의 생태가뭄 상태지수(ecological drought condition index of vegetation, EDCI-veg)를 제안하였다. EDCI-veg는 식생과 기상학적 가뭄 정보 사이의 copula 기반의 이변량 결합확률모델로부터 도출되며, 가뭄이 발생했을 때 현재의 식생 상태가 가뭄으로 인해 얼마나 영향을 받았는지를 수치로 표현할 수 있다. 과거의 기상학적 가뭄 사상과 그에 대응하는 식생 상태를 비교하여 제안된 지수를 살펴본 결과, EDCI-veg는 식생의 생태가뭄을 적절하게 모니터링할 수 있음이 확인되었다. 또한, 원격탐사자료를 활용하여 고해상도의 가뭄 지도를 작성함으로써 생태가뭄 상태를 공간적으로 식별할 수 있었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.141-141
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• 2022

Drought is a global phenomenon that affects almost all landscapes and causes major damages. Due to non-linear nature of contributing factors, drought occurrence and its severity is characterized as stochastic in nature. Early warning of impending drought can aid in the development of drought mitigation strategies and measures. Thus, drought forecasting is crucial in the planning and management of water resource systems. The primary objective of this study is to make improvement is existing drought forecasting techniques. Therefore, we proposed an improved version of Seasonal Autoregressive Integrated Moving Average (SARIMA) model (MD-SARIMA) for reliable drought forecasting with three years lead time. In this study, we selected four watersheds of Han River basin in South Korea to validate the performance of MD-SARIMA model. The meteorological data from 8 rain gauge stations were collected for the period 1973-2016 and converted into watershed scale using Thiessen's polygon method. The Standardized Precipitation Index (SPI) was employed to represent the meteorological drought at seasonal (3-month) time scale. The performance of MD-SARIMA model was compared with existing models such as Seasonal Naive Bayes (SNB) model, Exponential Smoothing (ES) model, Trigonometric seasonality, Box-Cox transformation, ARMA errors, Trend and Seasonal components (TBATS) model, and SARIMA model. The results showed that all the models were able to forecast drought, but the performance of MD-SARIMA was robust then other statistical models with Wilmott Index (WI) = 0.86, Mean Absolute Error (MAE) = 0.66, and Root mean square error (RMSE) = 0.80 for 36 months lead time forecast. The outcomes of this study indicated that the MD-SARIMA model can be utilized for drought forecasting.

• 한국환경과학회지
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• 제30권2호
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• pp.153-159
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• 2021

This study aims to suggest the direction of urban regeneration policies of Gangwon-do in accordance with COVID-19 outbreak, and the results are as follows. First, it is inevitable to urgently execute the project from the perspective of cities and counties in Gangwon-do, where the promotion of urban regeneration projects has been delayed due to COVID-19 incident. As a result, it is highly likely to cause the employees overloaded and have negative effect on achieving the goals of urban regeneration, so, it is necessary to provide support measures at the government and provincial level, such as the actual execution index and the adjusting time of start and completion of particular business. Second, as the uncertainty of COVID-19 continues, it needs to strengthen the operation and monitoring of urban regeneration support centers in Gangwon-do and examine the changes in business operation plans in advance. In particular, the decrease in visitors to traditional markets and restaurants is expected to have a direct effect on small business owners engaged in the service industry. Therefore, it is necessary to actively consider the utilization plans of smart city regeneration, such as online shopping and non-contact payment. Third, it is necessary to phase in smart urban regeneration training focused on information weakness to narrow the digital gap, in preparation for general lifestyle changes such as contactless and non-face-to-face interactions. At a time when new light is being shed on local areas, which are quieter than heavily populated cities, a project that reflects the regional characteristics and culture of Gangwon-do is necessary.

• 대한공간정보학회지
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• 제24권4호
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• pp.47-58
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• 2016

본 연구는 사회 복지 취약지역의 부문별 지표를 선정하고 이를 종합적으로 분석하여 사회 취약지역을 분석하는데 목적이 있다. 이를 위해 선행연구와 이론적 배경을 검토하였으며 분석지표와 기준을 선정하였고 이후 지표에 해당하는 적정 데이터를 수집하고 구축하였다. 분석의 지표 기준 및 데이터를 기반으로 본 연구의 공간적 범위를 서울특별시로 선정하여 분석을 수행하였다. 분석결과 사회 취약지역에 관한 부문별 하위 10% 지역이 도출되었다. 부문별 취약지역을 취합하여 분석한 결과 중구 용산구 서대문구와 같은 일부 지역이 최종 취약지역으로 도출되었다. 특히 중구는 가스, 전력 등 에너지 사용이 낮고 건물의 노후 심화, 교통 의료 교육 시설과의 접근성이 모두 취약한 지역으로 분석 되었다. 용산구는 주거부문 의료부문이 가장 취약하였다. 또한 종로구는 교육부문이 서대문구는 주거부문, 교육부문에서 취약성이 뚜렷하게 나타났다. 용도지역을 검토해 보면 제1종, 2종, 3종 주거지역에서 에너지, 주거, 의료, 교통, 교육 등 모든 부문에서 취약성을 나타내었다. 본 연구에서 제안된 사회 취약지역 분석기법은 다양한 데이터의 결합을 통해 시스템, 플랫폼 등으로 활용 할 수 있다. 또한 이러한 분석결과 및 과정 등을 활용하여 공공부문에서의 정책지원, 시간, 인력의 절약을 기대할 수 있다.

• International journal of advanced smart convergence
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• 제10권1호
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• pp.24-37
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• 2021

China's "One Belt and One Road" initiative has brought multiple opportunities to the development of tourism in Guangdong, Guangxi and Hainan provinces and the implementation of the Beibu Gulf Urban Agglomeration Development Plan hasset clear goalsforfurther accelerating the coordinated development, in-depth cooperation of the three. This study takes the Beibu Gulf Urban Agglomeration as the research object and utilized the data envelopment analysis (DEA) procedure to estimate the technical efficiency, pure technical efficiency, and scale efficiency scores for each city and Malmquist index was subsequently used to analyze dynamically, then tries to offer an adequate inclusion of sustainable factors in overall tourism development efficiency results through the detection and estimation of potential sources of efficiency. In order to complete the task, data collection was focused on Guangdong, Guangxi and Hainan provinces of China over the period from 2016 to 2018. The results in the first phase show relatively high efficiency scores, particularly in the case of the Beibu Gulf Urban Agglomeration and with room for improvement in the case of other cities of Guangdong, Guangxi and Hainan provinces. The second stage results present several aspects that should be carefully considered in order to analysis tourism efficiency of the Beibu Gulf Urban Agglomerations vertically according to the changes of the frontier.

• 무역학회지
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• 제46권1호
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• pp.59-81
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• 2021

This paper aims to analyze Korea's trade and investment performance in Spain and the business environment of Spain, and to find efficient strategies for entering into the Spanish market. This study is organized into five chapters. To begin with, it explains an overview of the Spanish economy and the current status of its major industries. Then, it analyzes Korea's trade and investment performance in Spain, the structure of comparative advantage and the trade trends of major import and export items, since 2011 when the Korea-EU FTA went into effect. Lastly, based on the results of this analysis, Korea's strategies for entering into the Spanish market are derived. The strategies derived from the analysis are as follows: (1) entering startups in the Spanish market through CVC cooperation and participation in large tech forums, (2) linking the Spanish interest in K-Culture to consumer goods exports, (3) promoting cooperation in the IT industry in response to the Spanish government's 'Connected Industry 4.0', (4) building a new Korean-Spanish value chain in response to the mobility revolution, (5) advancing jointly into a third country by combining the strengths of both Korea and Spain, (6) cooperating with the Spanish government to establish a sustainable energy policy, (7) promoting jointly with the Spanish government through smart city strategies and project exchanges, and (8) building a European logistics hub in Spain in preparation for post-Brexit.