• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.61-71
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• 2022

Data from an investigation of vulnerable conifer species in the subalpine zone in Korea obtained by the Korea Forest Service in 2017-2018 and monitoring research conducted by the National Institute of Forest Science since 2014 were used to analyze the status of distribution and growing condition of three major conifer species (Abies nephrolepis, Abies koreana, and Picea jezoensis) in the subalpine zone in the Baekdudaegan protected area. The distribution area of the studied species in the Baekdudaegan protected area was ca. 74% (8,035 ha) of the total distribution area in Korea, indicating that Baekdudaegan is a core area for conservation and restoration of subalpine conifer species. From decline index [A. nephrolepis in Mt. Taebaeksan and Mt. Deogyusan increased by 77.3% and 29.6%, respectively; A. koreana in Mt. Jirisan (Chunwangbong Peak) increased by 45.2% in four years; and P. jezoensis in Mt. Jirisan (Chunwangbong Peak) increased by 47.8% in two years] and seedling frequency (lower frequency of newly recruited seedlings than dead seedlings) results, the studied species are expected to face difficulties in sustainability. In contrast, at Mt. Seseoksan and Chunwangbong Peak in Mt. Jirisan, the health of trees and seedling frequency showed a partial tendency to recover and increase. In addition, we identified the relationship between the decline index and seedling frequency. These results will support the implementation of conservation strategies for vulnerable conifer species in the subalpine zone.

• Korean Journal of Heritage: History & Science
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• v.55 no.1
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• pp.133-150
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• 2022

Calling the 21th century the age of 'cultural competition' is not an overstatement. In an era of globalization, we try to find the 'identity of our country' in our culture. 'Culture' is the unique ethnicity of the people of each country that reflects the traces of their lives. As the world is transforming into a multi-dimensional place, traditional patterns in reference to cultural uniqueness and original formativeness are the brands that represent the people. France's luxury brand, GOYARD's Y-shaped pattern naturally made during the persistent traditional handmade process is still France's representative corporate brand and is considered prestigious even after 150 years have passed. On the other hand, in low-income countries, patterns created in the natural process of weaving fabrics are succeeded as a unique cultural aesthetic and are loved by people all over the world. Like this, people living in the global multi-dimensional world look to attain the framework 'One Planet Perspective' which is to succeed their own native culture and preserve the unique culture of others. For example, in the process of international relief organizations delivering relief supplies to Columbia's "Wayu tribe" due to the water shortage in 2013, a handmade product, "Mochila Bag" was discovered. Triggered by this incident, Europe and Korea decide to import it to support the livelihood of the "Wayu tribe." Also, the aesthetic and cultural values of the traditional culture in minority tribes that have evolved through thousands of years have been listed on UNESCO and preserved worldwide. Likewise, culture doesn't suddenly appear overnight, but rather the brand representing the company is the pattern used in the trend of the era kept for over 100 years. Moreover, patterns that reflect the country's identity are inherited as the unique aesthetic of the culture. Our country does inherit the unique aesthetic of our culture, but doesn't have a 'strong image' that displays the practical value reinterpreted creatively and aesthetically to fit the modern trend. Traditional patterns are important in perspective of study and theoretical research, but the brand's image using those patterns is a new medium from the past existence continuing to the current tradition. Furthermore, this study suggests that the image of a company that uses traditional patterns will have high economical potential as a national brand.

• Journal of Technology Innovation
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• v.30 no.2
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• pp.29-58
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• 2022

Startups lack resources and manpower to build internal capabilities to strengthen market competitiveness; external cooperation such as joint research and networking plays is important. In this study, we analyzed the effect of startups' industry-university cooperation on organizational learning capability and innovation performance. Empirical results demonstrate the mechanism by which government R&D investment strengthens organizational learning capability and creates innovative results by promoting cooperation between startups and universities. First, industry-university cooperation strengthened organizational learning capability. An empirical analysis shows that startups increase internal capabilities through external cooperation. Second, startups' organizational learning capability had a significant effect on innovation performance. We analyze how organizations with high learning capabilities positively develop corporate innovation performance by having a culture of discovery and sharing new ideas. Finally, industry-university cooperation had different effects on organizational learning capability and innovation performance according to the previous experiences of startup founders. In particular, small- and medium-sized (startup) businesses and individual-based experience groups positively affected the creation of organizational learning capabilities and innovation performance through industry-university cooperation. Small- and medium-sized businesses and individual founders have a relatively small cooperative network with the outside world compared to founders of large companies, universities, and research institutes; therefore, they strengthen organizational learning capabilities through cooperation with universities. This study demonstrates that government should create policy inducements for cooperation with universities to maximize the R&D performance of startups. Criticism exists that lending support to startups and universities will hinder innovation performance; nevertheless, government investment plays a role in expanding intangible resources such as accumulating technologies, fostering high-quality human resources, and strengthening innovation networks. Therefore, the government should appropriately utilize the its authority to strengthen investment strategies for startup growth.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1095-1105
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• 2021

The advancement of dam operation is further required due to the upcoming rainy season, typhoons, or torrential rains. Besides, physical models based on specific rules may sometimes have limitations in controlling the release discharge of dam due to inherent uncertainty and complex factors. This study aims to forecast the water level of the nearest station to the dam multi-timestep-ahead and evaluate the availability when it makes a decision for a release discharge of dam based on LSTM (Long Short-Term Memory) of deep learning. The LSTM model was trained and tested on eight data sets with a 1-hour temporal resolution, including primary data used in the dam operation and downstream water level station data about 13 years (2009~2021). The trained model forecasted the water level time series divided by the six lead times: 1, 3, 6, 9, 12, 18-hours, and compared and analyzed with the observed data. As a result, the prediction results of the 1-hour ahead exhibited the best performance for all cases with an average accuracy of MAE of 0.01m, RMSE of 0.015 m, and NSE of 0.99, respectively. In addition, as the lead time increases, the predictive performance of the model tends to decrease slightly. The model may similarly estimate and reliably predicts the temporal pattern of the observed water level. Thus, it is judged that the LSTM model could produce predictive data by extracting the characteristics of complex hydrological non-linear data and can be used to determine the amount of release discharge from the dam when simulating the operation of the dam.

• Economic Analysis
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• v.27 no.4
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• pp.70-119
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• 2021

This paper analyzes the changes in financial reform during the Kim Jong-un era based on North Korean literature. We find that North Korea has systematically and functionally separated the central bank from commercial banks since the Kim Jong-un era began. In addition, enterprises have been allowed to withdraw cash from bank accounts and make inter-enterprise cash payments. In other words, nowadays non-cash currencies with passive money can partially serve as active money with purchasing power. With the systematic and functional separation of the central bank and the commercial bank, the issuance of the central bank changed to a money supply method through the commercial bank, and changes in the currency distribution structure have allowed commercial bank's credit creation function to be implemented. This means that the banking system and the monetary·payment system of the socialist planned economy are changing in the way of the market economy. Reforms in the financial sector are believed to have been necessary to support changes in the economic system and to restore the function of the public financial sector. These changes have progressed in terms of the level of reform, but they are still considered similar to the period of the former Soviet Union's Perestroika or to the early period of China's reform and opening. Although North Korea's financial reform is superior in terms of enacting the banking law, it is insufficient in terms of realizing the functions of commercial banks. In addition, it is assessed that institutional constraints such as maintaining a planned economy, and the lack of confidence in public finances limit the effectiveness and development of the financial system. It should be noted that these results are based on literature published in North Korea. In other words, there is a limit in the fact that such recent changes have been carried out on a trial basis in some areas, or have been carried out in a full-scale manner with a blueprint, since Kim Jong-un's inauguration.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.

• Korean Journal of Heritage: History & Science
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• v.56 no.2
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• pp.246-262
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• 2023

This study analyzed policy implementation factors focusing on how Donuimun, a demolished cultural heritage, was digitally restored and the policy implementation process of Donuimun Gate restoration. Through this, the characteristics of the implementation process of the digital Donuimun Gate restoration policy promoted by public-private multilateral collaboration were examined and implications were sought for how institutions with different interests solved problems and collaborated in the implementation process. The research method was focused on policy implementation factors including policy executive factors, policy content factors, policy resource factors, and policy environment factors, and the process was analyzed for each detailed component. Along with literature analysis, in-depth interviews were conducted with participants in policy implementation. As a result of the study, first, it was found in the policy executive factor that the quick decision-making leadership of the policy manager and the flexible attitude of the person in charge of the government agency had a positive effect on preventing conflicts between different interest groups. Second, in terms of policy content, establishing a common goal that everyone can accept and moving forward consistently gave trust and created synergy. Third, in the policy implementation resource factor, the importance of the budget was emphasized. Finally, as an environmental factor for policy implementation, the opening of 5G mobile communication for the first time along with the emergence of the Fourth Industrial Revolution at the time of policy implementation acted as a timely factor. The digital Donuimun Gate was the first case of restoring a lost cultural heritage with AR and VR, and received attention and support from the mass media and the public. This also shows that digital restoration can be a model case that can be a solution without conflicts with local residents where cultural heritages are located or conflicts between stakeholders in the preservation and restoration of real objects.

• 한국노년학
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• v.32 no.2
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• pp.431-446
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• 2012

The objective of this study is to introduce the theory of Gerotranscendence and the ninth stage of Erikson & Erikson(1997)'s psycho-social development theory in order to enable the academic Korean field to have a more positive and fresher point of view on aging. In order to meet this objective, this study will first take a look at Erikson's 9th stage expansion theory on human development. Then we will study Gerotranscendence as the most representing phenomena among the 9 stage theory so that the Korean Gerontology field can utilize it for future plans. The definition of Gerotranscendence was first introduced by Tornstam(1994) and has been applied as Erikson & Erikson's 9 stage theory ever since. Gerotranscendence can be described as an individual that has entered his golden years after middle age, which transforms one's point of view on life from a materialistic and logical one to a more universal and transcending one. Gerotranscendence is a voluntary and overcoming process of oneself that is displayed in many seniors which leads to a lesser focus on oneself in the eyes of the society, but increases the inter-relational bonding between past and future generations. The following is a summary of the theorhetical evaluation on Gerotranscendence which was analyzed in this study. First, this study introduces the Gerotranscendence theory, which is recognized as the most representative phenomena among Erikson's 9th stage theory that has hence expanded the application of Gerontology theories in the academic field of Gerontology. Second, this study has provided a new point of view towards the elderly in the practical field of senior citizen social welfare. With this understanding, practical levels of services from various points of view can be provided to acknowledge the needs of the elderly. Third, a much wider field of research can be exchanged and provided along with other fields of studies by applying and extending this Gerotranscendence theory in Korea. It would also be especially beneficial to exchange researches within related fields of study such as psychology, sociology, nursing science, family science and the study of religion. Not to mention also lending support to hospitals for the elderly(nursing homes) and institutions related to senior welfare, or practical fields where there is an active exchange of research using Gerotranscendence theory.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.145-154
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• 2019

The purpose of this study is to investigate the performance, learning motivation and satisfaction of the students who take the university 's Lifelong Education Program. The research method was interviewed. The results are as follows. In terms of operations; First, the awareness of the kindness of employees of the college lifelong education institute needs to be strengthened at the beginning of the school year. Second, in the operation of the College Lifelong Education Center, the support such as the parking fee should be extended to the students. Third, lifelong education facilities should be supplemented. In terms of participation motivation; First, it can be seen that there are the most learners who want to do complementary learning. Most of them are people who look back on their lives and prepare for their future directions. Second, as the life span of human beings became longer, the economic preparation for life became necessary. Thus, all learning tends to be perceived as a preparation for economic income. Third, most people who participate in lifelong education are very interested in health. Therefore, it is necessary to increase the motivation for participation by expanding health related programs. In terms of satisfaction; First, it depends on the purpose of the individual. Satisfaction was high for those who aimed at hobbies and relationships, and satisfaction for those who aimed for economic activities was low. Second, it is also necessary to consider the instructor 's instructional process. In other words, lifelong learners tend to be adults, so little complaints are not revealed. Therefore, I would like to ask the lecturers to advance the education for the class. The implications for the improvement direction of the lifelong education center are as follows; First, we need to drastically reduce the number of programs overlapping with other universities and conduct research to develop new programs. In order to do this, it is necessary to continuously carry out a survey of demanders' needs. Second, it is necessary to find the appropriate place for program operation considering the movement distance of learners. It should be avoided that the program should be operated with the existing university facilities. Third, universities' lifelong education should go to education that includes college students.

• 한국노년학
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• v.39 no.1
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• pp.127-144
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• 2019

The purpose of this study is to compare the perceptions of loneliness, death anxiety, and social capital among older adults living in urban and rural communities and to examine the moderating effects of social capital on the relationship between loneliness and death anxiety. Utilizing the survey data collected by the Aging Society and Social Capital Research Center in 2018, we analyzed 839 older adults living in urban areas and 322 rural older adults living in rural areas. We used descriptive statistics, results from t-tests, and χ² tests to compare the rates of loneliness, social capital, and death anxiety perceived by older adults across urban and rural areas. The moderating effects of social capital on the relationship between loneliness and death anxiety were tested by logistic regression analyses for each group of urban and rural older adults. Compared to older adults living in rural areas, a greater number of older adults in urban areas reported death anxiety and higher levels of loneliness. However, the perceived levels of social capital were higher among rural older adults. The moderating effects of social capital on the relationship between loneliness and death anxiety were not found among older adults living in urban area, but, for older adults living in rural areas, social capital including social cohesion and social support moderated the relationship between loneliness and death anxiety. The results of this study suggest that regional differences shown in the perceptions of loneliness, death anxiety, and social capital should be addressed, when considering extensions of social capital and related interventions to deal with loneliness and death anxiety among older adults.