• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.651-660
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• 2010

In this paper, we implement an efficient histogram-based prefiltering to compensate the illumination mismatches in regions between neighboring views. In multi-view video, such illumination disharmony can primarily occur on account of different camera location and orientation and an imperfect camera calibration. This discrepancy can cause the performance decrease of multi-view video coding(MVC) algorithm. A histogram matching algorithm can be exploited to make up for these differences in a prefiltering step. Once all camera frames of a multi-view sequence are adjusted to a predefined reference through the histogram matching, the coding efficiency of MVC is improved. However general frames of multi-view video sequence are composed of several regions with different color composition and their histogram distribution which are mutually independent of each other. In addition, the location and depth of these objects from sequeuces captured from different cameras can be different with different frames. Thus we propose a new algorithm which classify a image into several subpartitions by its depth information first and then histogram matching is performed for each region individually. Experimental results show that the compression ratio for the proposed algorithm is improved comparing with the conventional image-based algorithms.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.107-116
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• 2019

Korean construction engineering firms want to pave the way for expansion of overseas markets through the World Bank's Official Development Assistance (ODA) projects as a way to improve their overseas project performance. However, since the World Bank project competes with global companies for limited projects, building partnerships with suitable business partners is essential to gain an upper hand in bidding competition and meet the institutional conditions of the recipient country. In this regard, many network studies have been conducted in the past through Social Network Analysis (SNA), but few have been analyzed based on the process of changes in the network. So, This study collected winning data from the three Southeast Asian countries that ended after the World Bank's ODA project performed smoothly, and established a learning-based link prediction model that reflected the dynamic nature of the network. As a result, the 11 main variables acting on building a cooperative relationship between winning companies were derived and the effect of each variables on the probability value of cooperation between individual links was identified.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1083-1093
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• 2021

It is an essential to predict water usage for establishing an optimal supply operation plan and reducing power consumption. However, the water usage by consumer has a non-linear characteristics due to various factors such as user type, usage pattern, and weather condition. Therefore, in order to predict the water consumption, we proposed the methodology linking various techniques that can consider non-linear characteristics of water use and we called it as KWD framework. Say, K-means (K) cluster analysis was performed to classify similar patterns according to usage of each individual consumer; then Wavelet (W) transform was applied to derive main periodic pattern of the usage by removing noise components; also, Deep (D) learning algorithm was used for trying to do learning of non-linear characteristics of water usage. The performance of a proposed framework or model was analyzed by comparing with the ARMA model, which is a linear time series model. As a result, the proposed model showed the correlation of 92% and ARMA model showed about 39%. Therefore, we had known that the performance of the proposed model was better than a linear time series model and KWD framework could be used for other nonlinear time series which has similar pattern with water usage. Therefore, if the KWD framework is used, it will be possible to accurately predict water usage and establish an optimal supply plan every the various event.

• Journal of Science Education
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• v.45 no.2
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• pp.156-171
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• 2021

This study aims at investigating the characteristics of trends of future education over time though the literature review and examining the accuracy of the framework for forecasting future education proposed by the previous studies by comparing the outcomes between the literature review and media articles. Thus, this study collects the articles dealing with future education searched from the Web of Science and categorized them into four periods during the new millennium. The new articles from media were selected to find out the present of education so that we can figure out the appropriateness of the proposed framework to predict the future of education. Research findings reveal that gradual tendencies of topics could not be found except teacher education and they are diverse from characteristics of agents (students and teachers) to the curriculum and pedagogical strategies. On the other hand, the results of analysis on the media articles focuses more on the projects launched by the government and the immediate responses to the COVID-19, as well as educational technologies related to big data and artificial intelligence. It is surprising that only a few key words are occupied in the latest articles from the literature review and many of them have not been discussed before. This indicates that the predictive framework is not effective to establish the long-term plan for education due to the uncertainty of educational environment, and thus this study will give some implications for developing the model to forecast the future of education.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.371-388
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• 2021

This research was designed to provide the materials helpful for art therapy education and art therapist training by exploring the intervention processes and professional competency factors of art therapists which facilitate therapeutic alliance through the art therapists' actual clinical experiences. To this end, in-depth interviews were conducted with 9 art therapists, and analysis of the materials was divided into 5 sections and 41 categories using Consensus Qualitative Analysis (CQR). According to study results, the art therapist's intervention process for the promotion of therapeutic alliance signifies the structuralization of a safe environment through basic items of consideration for a therapeutic alliance and the three dimensions of its composition, and the art therapist's professional capacity interacts with the art therapists intervention factor to directly and indirectly affect the therapeutic alliance. Subsequently, it is essential for art therapists to reinforce their professional abilities relevant to conceptualizing unique individual cases with clinical problems, sufficient clinical experiences, the ability to utilize art as therapeutic treatment, and efforts to maintain professional capabilities for therapeutic purposes. The significance of this research lies in presenting the materials to be used in educating and training the art therapists by deriving the developmental tasks necessary for structuralizing the facilitation of the therapeutic alliance and strengthening the professional expertise of the art therapist.

• Review of Culture and Economy
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• v.20 no.3
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• pp.3-33
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• 2017

The present study analyzed movie consumption behavior from the perspective of transaction cost, taking into account the possible incurrence of additional costs in the process of consumers obtaining movie information to choose movies. Regression and multinomial logistic regression analyses were performed in the analysis by taking movie information and the individuals' social demographic characteristics as independent variables and the number and frequency of movies watched as dependent variables, using information from the "2015 movie consumer survey." The results showed that consumers considering elements such as "directors" and "online reviews" were found to be more active in movie consumption. The analysis of movie-watching frequency showed that the information considered when choosing a movie was different for high- and low-frequency movie viewers. Putting these factors together suggests that movie consumption can vary according to an individual's cultural capital, preferences, and their degree of movie information awareness. While existing studies have mostly analyzed the determinants of box office performance, the significance of the present study is its empirical analysis of individual movie information in terms of transaction cost. Based on the results above, it can be inferred that the cyclical structure of trading expenses influences movie consumption and, once preferences are formed through a certain level of consumption, the trading cost expenses decrease, which results in increasing consumption. Therefore, film makers need to establish and execute marketing strategies that appropriately use movie information so that consumers can reduce the trading costs necessary for movie watching.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.2
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• pp.12-28
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• 2019

Road geometry is one of the many factors that cause crashes, but the effect on traffic accident depends on weather conditions even under the same road geometry. This study identifies the variables affecting the crash severity by matching the highway accident data and weather data for 14 years from 2001 to 2014. A hierarchical ordered Logit model is used to reflect the effects of road geometry and weather condition interactions on crash severity, as well as the correlation between individual crashes in a region. Among the hierarchical models, we apply a random intercept model including interaction variables between road geometry and weather condition and a random coefficient model including regional weather characteristics as upper-level variables. As a result, it is confirmed that the effects of toll, ramp, downhill slope of 3% or more, and concrete barrier on the crash severity vary depending on weather conditions. It also shows that the combined effects of road geometry and weather conditions may not be linear depending on rainfall or snowfall levels. Finally, we suggest safety improvement measures based on the results of this study, which are expected to reduce the severity of traffic accidents in the future.

• Pediatric Infection and Vaccine
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• v.25 no.3
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• pp.141-147
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• 2018

Purpose: Despite effectiveness and safety of maternal tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccination, Tdap vaccination coverage during pregnancy remains quite low. We assessed the knowledge, attitude and practice on maternal Tdap vaccination among pregnant women. Methods: This study was a cross-sectional survey of pregnant women who visited tertiary obstetrics and gynecologic units in Seoul and Gyeonggi province of Korea. Individual questionnaires were administered to assess knowledge, attitude and practice on maternal immunization with Tdap. Results: The questionnaires were completed by 184 pregnant women; 158 (86%) had not received information from doctors about pertussis and Tdap, and 166 (90%) did not know the need for Tdap vaccination. Only 7% of pregnant women unlikely to receive Tdap vaccine during current pregnancy answered 3 or more of the 5 knowledge-based questions correctly. By logistic regression analysis, recommendation by doctor (adjusted odd ratio [OR], 236.2; 95% confidence interval [CI], 12.6-4,432), belief that the vaccine is effective (adjusted OR, 40.21; 95% CI, 2.35-687.7), and belief that the vaccine is safe (adjusted OR, 19.83; 95% CI, 1.54-255.9) were significantly important factors to respondents' intention to be vaccinated. Conclusions: Most pregnant women seem to be neither recommended nor adequately informed about Tdap vaccination. Information given by health care professionals is very important to increase Tdap coverage among pregnant women.

• Korean Journal of Environment and Ecology
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• v.32 no.6
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• pp.582-590
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• 2018

Although there are many studies of the effect of climate change on the breeding phenology and community diversity of amphibians, the studies of variations in reproductive population size of individual species according to climate change are still lacking. We examined the effect of climate change on the reproductive population size of Rana huanrenensis and Hynobius leechii, which bred in mountain valleys, by surveying the reproductive population of the two species between 2005 and 2012 and analyzing the correlation between the variation of the outdoor population and the surrounding climate change factors, obtained from a meteorological observatory located at 5.6 km from the study site. The size of the reproductive population of the two species commonly fluctuated with aan pproximately 3.5-year cycle. That of H. leechii, in particular, decreased significantly over eight years. The air temperature tended to more closely relate with the reproductive population size of R. huanrenensis as was the case of the precipitation with that of H. leechii. The yearly mean highest temperature and spring mean temperature variation consistently decreased over the eight years, and the latter was related with the significantly decreased size of H. leechii reproductive population. These results showed that recent climate change directly could affect the reproductive population size of amphibians, particularly H. leechii, which breeds in mountain valleys.

• Journal of Climate Change Research
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• v.4 no.2
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• pp.105-114
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• 2013

Recently, foreign direct investment of Korea has increased significantly. Foreign direct investment is motivated by various reasons and renewable energy investments in foreign countries can be performed by many causes. Korean companies can enjoy the export of products, related EPC contracts, acquisition of the knowledge of the project management technique, pre-occupying effect of the market and profit itself. Wind power projects have biggest share in the investment amounts among the renewable energy business. So, in this study, one wind farm project was selected and supposed to be invested in China, USA, Germany and UK at the same time and the effect of electricity price, corporate income tax, inflation rate and interest rate of debt were analyzed. The result showed that investing in Germany is most profitable because of the highest electricity price and electricity price and debt interest rate are the most sensitive factors for IRR. This approach would be helpful to make decisions in investing foreign wind power projects.