• Korea Science and Art Forum
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• v.30
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• pp.151-161
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• 2017

In the fields of science and engineering, multidisciplinary research is common, and researchers with a diverse range of expertise collaborate to achieve common goals. As the 4th industrial revolution gains currency in society, there is growing demand on talented personnel both with technical knowledge and skills and with communicative skills. That is, future engineers are expected to possess competence in social and artistic skills in addition to specialized knowledge and skills in engineering. In this paper we introduce an emerging field of 3D bioprinting as an exemplary case of interdisciplinary research. We have chosen the case to demonstrate the possibility of cultivating engineers with π-shaped expertise. Building on the concept of T-shaped talent, we define π-shaped expertise as having both technical skills in more than one specialized field and interpersonal/communicative skills. Wtih references to such concepts as trading zones and interactional expertise, we suggest that π-shaped expertise can be cultivated via the creation of multi-level trading zones. Trading zones are referred to as the physical, conceptual, or metaphorical spaces in which experts with different world views trade ideas, objects, and the like. Interactional expertise is cultivated, as interactions between researches are under way, with growing understanding of each other's expertise. Under the support of the university and the government, two researchers with expertise in printing technology and life sciences cooperate to develop a 3D bioprinting system. And the primary investigator of the research laboratory under study has aimed to create multiple dimensions of trading zones where researchers with different educational and cultural backgrounds can exchange ideas and interact with each other. As 3D bioprinting has taken shape, we have found that a new form of expertise, namely π-shaped expertise is formed.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.2
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• pp.166-173
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• 2010

In order to obtain the basic information for agricultural utilization of germanium (Ge), the growth characteristics, Ge uptake, and grain quality of rice plant (Hopyungbyeo) were investigated under different germanium ($GeO_2$, and commercial Ge) treatments in paddy field. Phytotoxicity was detected in $GeO_2$ treatment but not in commercial Ge treatment. The grain yield was greater in the order of control treatment > commercial Ge treatment > $GeO_2$ treatment. The dry weight was greater in order of control treatment > $GeO_2$ treatment ${\geq}$ commercial Ge treatment. The Ge content of leaf in $GeO_2$ treatment was 6 times (177 mg $m^{-2}$) higher than that in commercial Ge treatment. The Ge content in rice bran was not different in $GeO_2$, and commercial Ge treatments. The Ge contents of brown rice in$GeO_2$, and commercial treatments were 40.9, and 31.1 mg $kg^{-1}$, respectively. The Ge uptake rates in rice plant was higher in the order of leaf > rice bran > brown rice > stem > root. Under $GeO_2$, 15.56% of Ge absorbed into plant with 11.1% in leaf, 1.6% in stem, 0.03% in root, 2.2% in rice bran and 0.73% in brown rice. Under commercial Ge treatment, 5.19% of Ge absorbed into plant with 1.8% in leaf, 0.46% in stem, 0,01% in root, 2.2% in rice bran, and 0.71% in brown rice. Based on these results, the Ge contents in polished rice in commercial Ge treatment were higher than those in $GeO_2$ treatment. However, the Ge contents of rice grain (containing rice bran and polished rice) in $GeO_2$ treatment were higher than those in commercial Ge treatment.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.59-69
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• 2012

As exhibition industry, which is a part of 17 new growth engines of the government, is related to other industries such as tourism, transportation and financial industries. So it has a significant ripple effect on other industries. Exhibition is a knowledge-intensive, eco-friendly and high value-added Industry. Over 13,000 exhibitions are held every year around the world which contributes to getting foreign currency. Exhibition industry is closely related with culture and tourism and could be utilized as local and national development strategies and improve national brand image as well. Many countries try various efforts to invigorate exhibition industry by arranging related laws and support system. In Korea, more than 200 exhibitions are being held every year, but only 2~3 exhibitions are hosted with over 400 exhibitors and except these exhibitions most exhibitions have few foreign exhibitors. The main reason of weakness of domestic trade show is that there are no agencies managing exhibitionrelated statistics and there is no specific and reliable evaluation. This might cause impossibility of providing buyer or seller with reliable data, poor growth of exhibitions in terms of quality and thus service quality of trade shows cannot be improved. Hosting a lot of visitors (Public/Buyer/Exhibitor) is very crucial to the development of domestic exhibition industry. In order to attract many visitors, service quality of exhibition and visitor's satisfaction should be enhanced. For this purpose, a variety of real-time customized services through digital media and the services for creating new customers and retaining existing customers should be provided. In addition, by providing visitors with personalized information services they could manage their time and space efficiently avoiding the complexity of exhibition space. Exhibition industry can have competitiveness and industrial foundation through building up exhibition-related statistics, creating new information and enhancing research ability. Therefore, this paper deals with customized service with visitor's smart-phone at the exhibition space and designing mobile framework which enables exhibition devices to interact with other devices. Mobile server framework is composed of three different systems; multi-server interaction, server, client, display device. By making knowledge pool of exhibition environment, the accumulated data for each visitor can be provided as personalized service. In addition, based on the reaction of visitors each of all information is utilized as customized information and so the cyclic chain structure is designed. Multiple interaction server is designed to have functions of event handling, interaction process between exhibition device and visitor's smart-phone and data management. Client is an application processed by visitor's smart-phone and could be driven on a variety of platforms. Client functions as interface representing customized service for individual visitors and event input and output for simultaneous participation. Exhibition device consists of display system to show visitors contents and information, interaction input-output system to receive event from visitors and input toward action and finally the control system to connect above two systems. The proposed mobile framework in this paper provides individual visitors with customized and active services using their information profile and advanced Knowledge. In addition, user participation service is suggested as well by using interaction connection system between server, client, and exhibition devices. Suggested mobile framework is a technology which could be applied to culture industry such as performance, show and exhibition. Thus, this builds up the foundation to improve visitor's participation in exhibition and bring about development of exhibition industry by raising visitor's interest.

• The Korean Journal of Archival Studies
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• no.21
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• pp.41-84
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• 2009

Lots of cultures, memories, histories of the local life have disappeared. Some sectors of universities and religion have keep their records in manuscript archive only. On the other hand records of public sectors were at least able to be managed by the records management law. Citizen's groups and academic bounds were also roles to get public records strong. However can we just describe whole body with only public records? As records management law a record of private sector which has value of preserving can be managed under national protection. Yet establishment of local archive is not obligate. Only stressing on public records is like what dictatorial government acted in past years. It is what we ignore diversity and request of community. We need to move our view that we have focused on public and central sectors to private and local sectors. Local records management based on locality could help to complete the entire puzzle. The way complete the puzzle is various and wide spheres including from cultural space to being extinct village. Locality is defined as the property in certain area or distinctiveness of locals. Establishing production strategies is as important as collecting records produced over the past years for local archiving. Local archiving has to be regionally conducted in phase. Moreover common wealth and recognition of communities are reflected in the acquisition process. In next to archiving local organizations and private records according to collection policy, methodology on local archiving needs for archive management and use in various public and private fields. This methodology could be possible by building a local archive networking tool. It is true that Local archiving is not familiar and clear yet. If we can turn the effort for public records we have made to endeavor for private sectors, we might expect big fruits in private sectors. We easily emphasis on globalization or internationalization, our daily lives start on our villages. Setting aside our small communities, such a puzzle of the whole would never be completed. This is good time to begin finding lost puzzle for future. The key that can find lost puzzles be held in archiving localities.

• International Commerce and Information Review
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• v.13 no.4
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• pp.177-201
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• 2011

Myanmar had fallen behind other southeast asian nations since Burmese way to Socialism settled down. However, historically second election in Myanmar hold in 2011 and dramatic changes in areas such as Special Economic Zone announcement, the very huge inflows of foreign direct investment in a year of 2009, the infrastructure building projects, a permit of the right to strike for Labour Organization in Myanmar etc. Particularly, Foreign investments and trade with neighbouring countries are actively growing and also with Korea. But investments of Korea in Myanmar relatively are not diversity, with limited sectors such as mining and sewing manufacturing. In this point of view, this paper is trying to make implications for strategies of entry and investments of Korea in Myanmar by using previous papers related to Myanmar economies, trade and foreign investments with updated statistical data. The implications for Korea is that recently Myanmar economy is in its early stages of development. Although it can occur huge demand of railway, road, communications and constructions related to social infrastructures essentially needed for development of a country, these sectors relatively need huge investments. On the other hands, textile and sewing industry relatively need smaller investments in which investors can utilize low labour cost and a position for export to third countries. But those firms which set up for those purpose in Myanmar might have trouble creating domestic markets in future. Moreover, due to demand which occur in the early stage of growth in Myanmar, trade volume tend to increase and trading is also possible to invest but Myanmar still have lots of problems with infrastructure such as road and logistics and we need to make pre-survey for the costs and benefits of our products Finally, Myanmar government is trying to promote and encourage some of industries such as export-oriented industry, import substitution industry and labour-intensive industry. It can also means they will accumulate capital which can be sources for Myanmar economic growth.

• Journal of agricultural medicine and community health
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• v.34 no.2
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• pp.155-167
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• 2009

Objectives: The purpose of this study was to investigate healthy city project related characteristics to members of the Korea Healthy Cities Partnership(KHCP). Methods: This study analyzed general characteristics of healthy city, characteristics of healthy city(political support, collaboration & citizen participation, healthy city project, infrastructure development, capacity building), self-evaluation of healthy city and etc by self-questionnaires from February to December, 2007, which were distributed to government workers who were in charged in health city project of 23 membership cities of KHCP. Results: The number of urban city was 11(47.8%) and that of rural municipality was 12(52.5%). Public health center was almost in charge of healthy city project(73.9%). As for the characteristics of healthy city, healthy city municipal budget(91.3%), city health profile(91.3%), technical support of cooperative university(82.6%), healthy city regulation(78.3%), citizen participation(78.3%), committee(73.9%), setting approach(69.9%) and healthy city network(69.6%) were good. But intersectoral collaboration(34.8%), long-term healthy city plan(39.1%), administrative policy or campaign promise(43.5%), programs to the vulnerable population(47.8%), department in charge(47.8%) and seminar(47.8%) were not good. Especially, characteristics of healthy city according to the existence of department in charge were significantly different in intersectoral collaboration, citizen participation, setting approach and healthy city network. Conclusions: In spite of rapid expansion in healthy cities, there were great difficulty in political support, collaboration, department in charge and programs of health equity. So we need to go a long way to achieve the vision of healthy cites by its principles and characteristics.

• Journal of Hospice and Palliative Care
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• v.20 no.3
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• pp.177-187
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• 2017

Purpose: From August 2017, hospice-palliative care (HPC) will be provided to patients with acquired immunodeficiency syndrome (AIDS), chronic obstructive pulmonary disease (COPD), and liver cirrhosis in Korea. To contribute to building a non-cancer (NC) hospice-palliative care model, NC specialists were interviewed regarding the goals, details, and provision methods of the model. Methods: Four physicians specializing in HPC of cancer patients formulated a semi-structured interview with questions extracted from literature review of 85 articles on NC HPC. Eleven NC disease specialists were interviewed, and their answers were analyzed according to the qualitative content analysis process. Results: The interviewees said as follows: It is difficult to define end-stage NC patients. HPC for cancer patients and that for NC patients share similar goals and content. However, emphasis should be placed on alleviating other physical symptoms and emotional care rather than pain control. Timing of the care provision should be when patients are diagnosed as "end stage". Special issues should be considered for each NC disease (e.g., use of anti-retroviral drugs for AIDS patients, oxygen supply for COPD patients suffering from dyspnea, liver transplantation for patients with liver cirrhosis) and education should be provided to healthcare professionals. NC patients tend to negatively perceive HPC, and the government's financial assistance is insufficient. Conclusion: It is necessary to define end-stage NC patients through in-depth discussion to minimize issues that will likely accompany the expansion of care recipients. This requires cooperation between medical staff caring for NC patients and HPC givers for cancer patients.

• Journal of Korea Water Resources Association
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• v.56 no.4
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• pp.261-272
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• 2023

In recent years, natural disasters such as heavy rainfall and typhoons have occurred more frequently, and their severity has increased due to climate change. The Korea Meteorological Administration (KMA) currently uses the same criteria for all regions in Korea for watch and warning based on the maximum cumulative rainfall with durations of 3-hour and 12-hour to reduce damage. However, KMA's criteria do not consider the regional characteristics of damages caused by heavy rainfall and typhoon events. In this regard, it is necessary to develop new criteria considering regional characteristics of damage and cumulative rainfalls in durations, establishing four stages: blue, yellow, orange, and red. A classification model, called DSCM (Disaster Severity Classification Model), for the four-stage disaster severity was developed using four machine learning models (Decision Tree, Support Vector Machine, Random Forest, and XGBoost). This study applied DSCM to local governments of Seoul, Incheon, and Gyeonggi Province province. To develop DSCM, we used data on rainfall, cumulative rainfall, maximum rainfalls for durations of 3-hour and 12-hour, and antecedent rainfall as independent variables, and a 4-class damage scale for heavy rain damage and typhoon damage for each local government as dependent variables. As a result, the Decision Tree model had the highest accuracy with an F1-Score of 0.56. We believe that this developed DSCM can help identify disaster risk at each stage and contribute to reducing damage through efficient disaster management for local governments based on specific events.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.123-139
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• 2019

The Korean NPL market was formed by the government and foreign capital shortly after the 1997 IMF crisis. However, this market is short-lived, as the bad debt has started to increase after the global financial crisis in 2009 due to the real economic recession. NPL has become a major investment in the market in recent years when the domestic capital market's investment capital began to enter the NPL market in earnest. Although the domestic NPL market has received considerable attention due to the overheating of the NPL market in recent years, research on the NPL market has been abrupt since the history of capital market investment in the domestic NPL market is short. In addition, decision-making through more scientific and systematic analysis is required due to the decline in profitability and the price fluctuation due to the fluctuation of the real estate business. In this study, we propose a prediction model that can determine the achievement of the benchmark yield by using the NPL market related data in accordance with the market demand. In order to build the model, we used Korean NPL data from December 2013 to December 2017 for about 4 years. The total number of things data was 2291. As independent variables, only the variables related to the dependent variable were selected for the 11 variables that indicate the characteristics of the real estate. In order to select the variables, one to one t-test and logistic regression stepwise and decision tree were performed. Seven independent variables (purchase year, SPC (Special Purpose Company), municipality, appraisal value, purchase cost, OPB (Outstanding Principle Balance), HP (Holding Period)). The dependent variable is a bivariate variable that indicates whether the benchmark rate is reached. This is because the accuracy of the model predicting the binomial variables is higher than the model predicting the continuous variables, and the accuracy of these models is directly related to the effectiveness of the model. In addition, in the case of a special purpose company, whether or not to purchase the property is the main concern. Therefore, whether or not to achieve a certain level of return is enough to make a decision. For the dependent variable, we constructed and compared the predictive model by calculating the dependent variable by adjusting the numerical value to ascertain whether 12%, which is the standard rate of return used in the industry, is a meaningful reference value. As a result, it was found that the hit ratio average of the predictive model constructed using the dependent variable calculated by the 12% standard rate of return was the best at 64.60%. In order to propose an optimal prediction model based on the determined dependent variables and 7 independent variables, we construct a prediction model by applying the five methodologies of discriminant analysis, logistic regression analysis, decision tree, artificial neural network, and genetic algorithm linear model we tried to compare them. To do this, 10 sets of training data and testing data were extracted using 10 fold validation method. After building the model using this data, the hit ratio of each set was averaged and the performance was compared. As a result, the hit ratio average of prediction models constructed by using discriminant analysis, logistic regression model, decision tree, artificial neural network, and genetic algorithm linear model were 64.40%, 65.12%, 63.54%, 67.40%, and 60.51%, respectively. It was confirmed that the model using the artificial neural network is the best. Through this study, it is proved that it is effective to utilize 7 independent variables and artificial neural network prediction model in the future NPL market. The proposed model predicts that the 12% return of new things will be achieved beforehand, which will help the special purpose companies make investment decisions. Furthermore, we anticipate that the NPL market will be liquidated as the transaction proceeds at an appropriate price.

• Journal of Venture Innovation
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• v.5 no.1
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• pp.107-127
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• 2022

Global challenges such as the corona pandemic, climate change and the war-on-tech ensure that the demand who the technologies of the future develops and monitors prominently for will be on the agenda. Development of, and applications in, agrifood, biotech, high-tech, medtech, quantum, AI and photonics are the basis of the future earning capacity of the Netherlands and contribute to solving societal challenges, close to home and worldwide. To be like the Netherlands and Europe a strategic position in the to obtain knowledge and innovation chain, and with it our autonomy in relation to from China and the United States insurance, clear choices are needed. Brainport Eindhoven: Building on Philips' knowledge base, there is create an innovative ecosystem where more than 7,000 companies in the High-tech Systems & Materials (HTSM) collaborate on new technologies, future earning potential and international value chains. Nearly 20,000 private R&D employees work in 5 regional high-end campuses and for companies such as ASML, NXP, DAF, Prodrive Technologies, Lightyear and many others. Brainport Eindhoven has a internationally leading position in the field of system engineering, semicon, micro and nanoelectronics, AI, integrated photonics and additive manufacturing. What is being developed in Brainport leads to the growth of the manufacturing industry far beyond the region thanks to chain cooperation between large companies and SMEs. South-Holland: The South Holland ecosystem includes companies as KPN, Shell, DSM and Janssen Pharmaceutical, large and innovative SMEs and leading educational and knowledge institutions that have more than Invest €3.3 billion in R&D. Bearing Cores are formed by the top campuses of Leiden and Delft, good for more than 40,000 innovative jobs, the port-industrial complex (logistics & energy), the manufacturing industry cluster on maritime and aerospace and the horticultural cluster in the Westland. South Holland trains thematically key technologies such as biotech, quantum technology and AI. Twente: The green, technological top region of Twente has a long tradition of collaboration in triple helix bandage. Technological innovations from Twente offer worldwide solutions for the large social issues. Work is in progress to key technologies such as AI, photonics, robotics and nanotechnology. New technology is applied in sectors such as medtech, the manufacturing industry, agriculture and circular value chains, such as textiles and construction. Being for Twente start-ups and SMEs of great importance to the jobs of tomorrow. Connect these companies technology from Twente with knowledge regions and OEMs, at home and abroad. Wageningen in FoodValley: Wageningen Campus is a global agri-food magnet for startups and corporates by the national accelerator StartLife and student incubator StartHub. FoodvalleyNL also connects with an ambitious 2030 programme, the versatile ecosystem regional, national and international - including through the WEF European food innovation hub. The campus offers guests and the 3,000 private R&D put in an interesting programming science, innovation and social dialogue around the challenges in agro production, food processing, biobased/circular, climate and biodiversity. The Netherlands succeeded in industrializing in logistics countries, but it is striving for sustainable growth by creating an innovative ecosystem through a regional industry-academic research model. In particular, the Brainport Cluster, centered on the high-tech industry, pursues regional innovation and is opening a new horizon for existing industry-academic models. Brainport is a state-of-the-art forward base that leads the innovation ecosystem of Dutch manufacturing. The history of ports in the Netherlands is transforming from a logistics-oriented port symbolized by Rotterdam into a "port of digital knowledge" centered on Brainport. On the basis of this, it can be seen that the industry-academic cluster model linking the central government's vision to create an innovative ecosystem and the specialized industry in the region serves as the biggest stepping stone. The Netherlands' innovation policy is expected to be more faithful to its role as Europe's "digital gateway" through regional development centered on the innovation cluster ecosystem and investment in job creation and new industries.