• Environmental and Resource Economics Review
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• v.17 no.2
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• pp.255-286
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• 2008

In this paper, it is tried to combine the decomposition method and econometric analysis for the extension of the decomposition method. Since two approaches approach the energy efficiency problem in the different perspectives, it is believed that it is hard to reconcile the results of two approaches. In the results of energy intensity effect analysis with the econometric method, it is found that the increase in the energy price results in the improvement of energy intensity effect. In enconometric analysis of energy efficiency, the coefficient of a time trend measured as a proxy of energy efficiency is significant and has a negative effect on the energy consumption. This finding implies the energy efficiency improves very slowly over time. In addition, the directions of energy efficiency improvement in the decomposition method are consistent with those in the econometric analysis in four industries. This finding indicates that two methods may be in complementary cooperation for the analysis of energy efficiency. Therefore, it is needed the efforts to seek the complementarity between two methods for the enhancement of academic and policy implications.

• Journal of Advanced Navigation Technology
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• v.22 no.1
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• pp.13-19
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• 2018

In this paper, we classified a flight pattern of unmanned aerial vehicle(UAV) which will be operating in UTM system and analyzed its flight pattern by purpose of use. Flight patterns of UAV are sorted into three patterns which are circling, monitoring and delivery. We considered four cases of industry areas using UAV which are agriculture, infrastructure monitoring, public safety & security(p.s.s) and delivery. It is necessary to build a simulation model as a verification tool for applying the flight pattern according to the use of UAV to the real UTM system. Therefore, we propose the simulation model of UAV with updating states over time. We applied simulation to UAV monitoring flight pattern, and confirmed that the flight was done by the given input data. The simulation model will be used in the future to verify that the UAV has various flight patterns and can operate safely and efficiently for the intended use.

• Journal of Korean Association for Spatial Structures
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• v.7 no.2 s.24
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• pp.75-82
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• 2007

Building costs means capital costs which include cost of land, cost of acquiring and preparing the site, construction costs, engineering fees, furnishings, cost of financing the project, and cost of management required to run and maintenance the building for use. An economic analysis is one of the most important factor to determine the project feasibility. The purpose of the this study is to analysis on the construction cost structure of steel truss stadium.

• Journal of Korean Association for Spatial Structures
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• v.7 no.1 s.23
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• pp.87-94
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• 2007

An economic analysis is one of the most important factor to determine tile project feasibility. In some mega project, however, it is not unique factor to make a Go or No-Go decision because of overriding this work, an economic aspect by some project indirect factor such as political, social, environmental and technical factor, etc. The purpose of the this study is to investigate the cost model effects of spatial structure.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.471-479
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• 2011

Evapotranspiration (ET) including evaporation from a land surface and transpiration from photosynthesis of vegetation is a hydrological factor that has an important role in water cycle. However, there is a limitation to understand it due to heterogeneity of land cover and vegetation. In this study, Mapping EvapoTRanspiration with Internalized Calibration (METRIC) model, one of the energy balance models, and MODerate resolution Imaging Spectroradiometer (MODIS) satellite based well-known Penman-Monteith algorithm were compared. Two ET maps were categorized and compared by land cover classification. The results represented overall applicability of the two models with the highest correlation coefficients in needleleaf and broadleaf forests. This study will be useful to estimate remote sensing based ET maps with high resolution and to figure out spatio-temporal variability and seasonal changes.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.61-86
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• 2015

This study provides an empirical analysis based on 2012 Korea Innovation Survey (STEPI) to investigate the relation between R&D cooperation and in-house R&D investment. The study further analyzes the effect of the R&D cooperation and in-house R&D investment on technical innovation. First, the relation between company's in-house R&D investment and R&D cooperations is estimated with the two equations using SUR models. Second, the effect of in-house R&D investment and R&D cooperation on the company's technical innovation is estimated using Probit model. This study differs from other existing R&D studies using Korean data in that empirical models are based on structural relationships among in-house R&D, R&D cooperation, and technical innovation. The results can be summarized as follows; the R&D cooperation expands the in-house R&D investment and the in-house R&D strengthen the R&D cooperation. Furthermore, In-house R&D investment increases the chances of success in innovation. As we obtain evidence of complementary relation between R&D cooperation and in-house R&D investment, it is necessary to develop environment conducive to this complementarity in order to have more efficient R&D system.

• Knowledge Management Research
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• v.23 no.2
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• pp.211-228
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• 2022

As social media marketing becomes prevalent, it is necessary to understand the administrative role of managers in promoting user engagement. However, little is known about how community managers enhance user engagement in social media. In this research, we study how managers can boost online user participation, including clicking likes and writing comments. Using the SUR (Seemingly Unrelated Regression) model, we find out that the active participation of managers increases user engagement of both passive (likes) and active (comments) ones. In addition, we find that the number of emotional words included in posts has a positive effect on the passive engagement whereas it negatively affects the active engagement. Lastly, the congruency between posts and comments positively affects users' passive engagement. This study contributes to prior literature related to online community management and text analyses. Furthermore, our findings offer managerial insights for practitioners and social media managers to further facilitate user engagement.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.96-109
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• 2024

The purpose of this study is to propose a method for evaluating the similarity of Show gardens using Deep Learning models, specifically VGG-16 and ResNet50. A model for judging the similarity of show gardens based on VGG-16 and ResNet50 models was developed, and was referred to as DRG (Deep Recognition of similarity in show Garden design). An algorithm utilizing GAP and Pearson correlation coefficient was employed to construct the model, and the accuracy of similarity was analyzed by comparing the total number of similar images derived at 1st (Top1), 3rd (Top3), and 5th (Top5) ranks with the original images. The image data used for the DRG model consisted of a total of 278 works from the Le Festival International des Jardins de Chaumont-sur-Loire, 27 works from the Seoul International Garden Show, and 17 works from the Korea Garden Show. Image analysis was conducted using the DRG model for both the same group and different groups, resulting in the establishment of guidelines for assessing show garden similarity. First, overall image similarity analysis was best suited for applying data augmentation techniques based on the ResNet50 model. Second, for image analysis focusing on internal structure and outer form, it was effective to apply a certain size filter (16cm × 16cm) to generate images emphasizing form and then compare similarity using the VGG-16 model. It was suggested that an image size of 448 × 448 pixels and the original image in full color are the optimal settings. Based on these research findings, a quantitative method for assessing show gardens is proposed and it is expected to contribute to the continuous development of garden culture through interdisciplinary research moving forward.

• Journal of Korean Association for Spatial Structures
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• v.7 no.3 s.25
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• pp.133-140
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• 2007

Spatial structures is a appropriate shape that resists external force with only inplane force by reducing the influence of bending moment, and it maximizes the effect of structure system. An economic analysis is one of the most important factors to determine the project feasibility. Large spatial structures project is more need to comprehensive technology than a general construction project. In order to result in success of these project, it is desired that analyze an essential elements(for example, large budget, professional engineer, construction method, etc.) in the whole life cycle of buildings by schematic preparation from the early feasible study steps. We collect the data and analyze construction cost through this study which examines general remarks of existing spatial structures and researches its examples. This study is aimed to apply basic data to establish database the spatial structures.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.169-169
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• 2011

토양수분의 시공간적 분포는 수문 및 침식 모형 등에 중요한 근거를 제공하는 동시에 사면에서의 증발과 강우형성, 강우로 내려온 물이 침투나 하천 유입 등으로 인해 다시 해수로 들어가는물 순환 과정을 이해하기 위한 수문과정의 중요한 요소이다. 최근 들어 토양수분에 대한 많은 연구가 진행이 되고 있지만, 토양수분을 직접 측정하는 과정이 매우 어렵기에 통계적인 방법을 통해 예측을 하는 경우가 많다. 그렇기에 이번 연구에서는 설마천과 청미천 유역의 토양수분 자료를 이용하여 통계적 방법 중에 하나인 시간안정도 분석을 실시하여 시공간적 변동성에 대해 해석하였다. 토양수분 자료의 유의성을 검토해 본 결과, 연구지역에서의 토양수분의 공간적 분포는 Gumbel 분포가 적합하다는 결과가 나왔고, 이로 인해 연구지역의 토양이 비 균질함을 알 수 있었으며, 시간 안정도 분석을 통해 유역을 대표하는 지점을 찾을 수 있었다. 각 유역의 대표성을 띄는 지점을 찾음으로써, 모든 측정 지점에서 측정해보지 않더라도, 유역의 전체적인 토양수분 값의 분포를 예측해 볼 수 있다. 이는 토양수분 자료를 이용하는 향후 연구에 많은 경제성과 효율성을 제시할 수 있다. 외부적인 환경요인이 토양수분의 변동성에 어느 정도의 영향을 미치는지에 대한 분석을 분산 분석과 Tukey's 분석으로 실시하였고, 점토질의 토양과 경사도가 토양수분 변동성에 영향을 미친다는 결과를 얻을 수 있었다. 경사도가 토양수분의 변동성에 영향을 미친다는 결과를 통해, 산지 지형이 많은 우리나라의 대표적인 지표 특성상 향후 연구에 기반이 될 것이다.