Over the last 3 years, the global food 3D printing market has grown at an average annual rate of 31.5% and has shown an industry size that reached about U$ 9.46 billion. Food 3D printing technology has the advantage of being utilizable in diverse ranges because it enables free design of existing foods so that foods can be produced according to individuals' tastes and purposes. Many countries around the world are producing food 3D printers to release trial products such as foods employing the advantages of food 3D printing. They are also attempting to apply food 3D printing in various fields such as combat rations, space rations, restaurants, liquid foods, foods for the elderly, diets for patients, and baby foods. Whereas the 3D printing market, which has a high growth potential and is expected to continue to expand in size, is highly likely to become a blue ocean, not only is food 3D printing technology small in South Korea, but also the overall ratio of 3D printing utilization and the scale of the relevant industry are small. This is attributable to the fact that South Korea has problems such as insufficient institutionalization compared to developed countries and delays in the development of standardized domestic materials. Therefore, this paper is intended to inform the necessity of food 3D printing and describe food 3D printing technology and food 3D materials in order to obtain the additional effect of vitalizing the South Korean food 3D printing market.
The purpose of this study is to examine the current status and components of Korean National Debt and to analyze the effects of each component on National Debt. In the Korean Statistical Information Service (KOSIS), we searched for data such as General Accounting Deficit Conservation, For Foreign Exchange Market Stabilization, For Common Housing Stability, Local Government Net Debt Public Funds, etc that constitute National Debt. The analysis period used a total of 23 annual data from 1997 to 2019. The data collected in this study use the rate of change compared to the previous year for each component. Using this, this study attempted index analysis, numerical analysis, and model analysis. Correlation analysis result, the National Debt has a high relationship with the For Common Housing Stability. For Foreign Exchange Market Stabilization, Public Funds, etc., but has a low relationship with the Local Government Net Debt. Since 1997, National Debt has been increasing similarly to the For Foreign Exchange Market Stabilization, For Common Housing Stability and Public Funds etc. Since 2020, Korea is expected to increase significantly in terms of For Common Housing Stability and Public Funds, etc due to Corona19. At a time when the global economic situation is difficult, Korea's National Debt is expected to increase significantly due to the use of national disaster subsidies. However, if possible, the government expects to operate efficiently for economic growth and financial market stability.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
/
v.9
no.3
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pp.75-88
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2014
The purpose of this research is to provide the indication on policy for the SME that are going through the Growing Pains by analyzing the cause of the Growing Pains and the effect that it causes to the company performance. By measured the extent of the growing pains in entrepreneurial companies, 8 of the 20 companies surveyed companies indicate that some very significant problems exist within the organization and the other 12 companies indicate some organizational problems require attention. As a result of correlation between company performance and Growing Pains that analyzed by using CAGR(Compound Annual Growth Rate), we have arrived at the conclusion that they are oppositely related. We have conducted the regression coefficient in order to analyze the factors that are affecting the Growing Pains and we have discovered that Leadership and work performance capability of CEO, Company's structure capability and Company's cultural strength have a meaningful relation out of 7 Factors that were used for regression coefficient. Only, CEO's work performance is analyzed to worsen the Growing Pains that, for enterprises at the certain growing stage it is needed to establish an administrative system instead of relying on CEO. Also CEO's strong leadership play which relate to administrative capacity, forming reasonable organizational structure, customer oriented mind and Company's culture that are developed with sense of responsibility reduce Growing Pains according to a research.
Korean Journal of Agricultural and Forest Meteorology
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v.19
no.4
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pp.246-251
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2017
Crop models have been used to predict a heading date for efficient management of fertilizer application. Recently, the ORYZA (v3) model was developed to improve the ORYZA2000 model, which has been used for simulation of rice growth in Korea. Still, little effort has been made to assess applicability of the ORYZA (v3) model to rice farms in Korea. The objective of this study was to evaluate reliability of heading dates predicted using the the ORYZA (v3) model, which would indicate applicability of the model to a decision support system for fertilizer application. Field experiments were conducted from 2015-2016 at the Rural Development Administration (RDA) to obtain rice phenology data. Shindongjin cultivar which is mid-late maturity type was grown under a conventional fertilizer management, e.g., application of fertilizer at the rate of 11 Kg N/10a. Another set of heading dates was obtained from annual reports at experiment farms operated by the National Institute of Crop Science and Agricultural Technology Centers in each province. The input files for the ORYZA (v3) model were prepared using weather and soil data collected from the Korean Meteorology Administration (KMA) and the Korean Soil Information System, respectively. Input parameters for crop management, e.g., transplanting date and planting density, were set to represent management used for the field experiment. The ORYZA (v3) model predicted heading date within 1 day for two seasons. The crop model also had a relatively small error in prediction of heading date for three ecotypes of rice cultivars at experiment farms where weather input data were obtained from a near-by weather station. Those results suggested that the ORYZA (v3) model would be useful for development of a decision support system for fertilizer application when reliable input data for weather variables become available.
Shin, Ju Yeop;Kang, Sung Hoon;Ma, Hye Joon;Kwon, Ik Hwan;Yang, Seung Pil;Jung, Hyun Chul;Hong, Chung Ki;Kim, Kyeong Suk
Journal of the Korean Society for Nondestructive Testing
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v.36
no.1
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pp.18-26
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2016
The semiconductor industry is one of the key industries of Korea, which has continued growing at a steady annual growth rate. Important technology for the semiconductor industry is high integration of devices. This is to increase the memory capacity for unit area, of which key is photolithography. The photolithography refers to a technique for printing the shadow of light lit on the mask surface on to wafer, which is the most important process in a semiconductor manufacturing process. In this study, the width and step-height of wafers patterned through this process were measured to ensure uniformity. The widths and inter-plate heights of the specimens patterned using photolithography were measured using transmissive digital holography. A transmissive digital holographic interferometer was configured, and nine arbitrary points were set on the specimens as measured points. The measurement of each point was compared with the measurements performed using a commercial device called scanning electron microscope (SEM) and Alpha Step. Transmission digital holography requires a short measurement time, which is an advantage compared to other techniques. Furthermore, it uses magnification lenses, allowing the flexibility of changing between high and low magnifications. The test results confirmed that transmissive digital holography is a useful technique for measuring patterns printed using photolithography.
This article explores the developmental history of TOPIK over the last 20 years and its recent trends. Over the last two decades, TOPIK underwent two major systematic reforms, achieving both quantitative and qualitative growth over the course of its 52 testing sessions. TOPIK has utilized a six-level evaluation system from its inception to the present. The evaluation system was amended from the earlier six-test set - whereby each level corresponded with a separate test (1997~2005: the $1^{st}{\sim}9^{th}$) - to the three-test set (2006~2014: the $10^{th}{\sim}34^{th}$), and finally to the two-test set (2014~present: the $35^{th}{\sim}42^{nd}$). In the earlier exams, abilities in Vocabulary Grammar, Writing, Listening, and Reading were assessed. However, beginning with the $35^{th}$ TOPIK, abilities in Listening, Reading, and Writing (only in TOPIK II) were assessed and the evaluation of the writing section was changed to a task-based process, improving TOPIK into a more qualified analysis of proficiency. Over the last 20 years, the number of countries TOPIK is administered in has greatly increased from 4 to 73 countries, and the annual number of test-takers has also significantly increased from 2,692 to 250,141. The distribution of proficiency levels of the test-takers has shifted over time - initially "Beginner>Intermediate>Advanced" in the earlier exams, to "Intermediate>Advanced>Beginner" after the mid 2000s - as the number of those studying the Korean language for specific purposes and continuing education increased. Test-takers have indicated a shift in their purpose for taking the exam, initially citing "to assess proficiency" and more recently selecting "to study abroad," and this could also correlate with changes in the proportion of test-takers' proficiency level. In general, 85~95% of beginner, 50~65% of intermediate, and 45~60% of advanced test applicants passed the respective proficiency level. To date, no practices have yet been implemented to standardize the difficulty level longitudinally across test sets.
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.14
no.2
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pp.168-174
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2021
According to the World Agricultural Productivity Report, the current annual average growth rate of agriculture is 1.63%, which is lower than 1.73% to support the world's 10 billion people, which is growing by 2050. The demand for food, feed, and bioenergy is not growing enough to continue to meet the demand, and it is predicting a future food shortage. The purpose of this study was to create a regional irrigation control model for the purpose of reducing the production cost of crops, increasing production, and improving quality, and presenting a model that can give advice to farmers who start farming in the region. The irrigation control modeling presented in this study means to represent the change of medium weight·supply liquid·drainage amount due to changes in the root zone environment according to the passage of time and climate in a graph model. For water control modeling, we collected data on the change in the amount of the root zone environment and the weight of the badge·supply amount·drainage amount from March to June in Nonsan, Buyeo, and Yesan regions in Chungnam Province through the measuring device of the Ministry of Environment in the root region. We set up the parameters for derivation and derived an irrigation control model that can confirm the change in weight·supply liquid·drainage amount over time through the parameters.
Journal of the Korea Society of Computer and Information
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v.27
no.11
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pp.147-155
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2022
In this study, we developed a system to dynamically balance a daily stock portfolio and performed trading simulations using gradient boosting and genetic algorithms. We collected various stock market data from stocks listed on the KOSPI and KOSDAQ markets, including investor-specific transaction data. Subsequently, we indexed the data as a preprocessing step, and used feature engineering to modify and generate variables for training. First, we experimentally compared the performance of three popular gradient boosting algorithms in terms of accuracy, precision, recall, and F1-score, including XGBoost, LightGBM, and CatBoost. Based on the results, in a second experiment, we used a LightGBM model trained on the collected data along with genetic algorithms to predict and select stocks with a high daily probability of profit. We also conducted simulations of trading during the period of the testing data to analyze the performance of the proposed approach compared with the KOSPI and KOSDAQ indices in terms of the CAGR (Compound Annual Growth Rate), MDD (Maximum Draw Down), Sharpe ratio, and volatility. The results showed that the proposed strategies outperformed those employed by the Korean stock market in terms of all performance metrics. Moreover, our proposed LightGBM model with a genetic algorithm exhibited competitive performance in predicting stock price movements.
In this review, we examine the latest technological developments in the utilization of truffles, a gourmet ingredient reputed to be one of the "world's three greatest delicacies," considering changing global consumption trends. Global demand for truffles is expected to increase steadily, with an average annual growth rate of 8.9% from 2023 to 2030. As truffles are expensive, the demand for truffles is expected to be concentrated in developed countries such as the United States, European countries, and Japan. In Korea, truffles are utilized in various industries, including food, functional foods, and cosmetics. Korean consumer demand for truffles has consistently remained high since 2019, and truffle products have been performing well in the market. Consequently, there exists substantial potential demand for newly developed truffle-related products and technologies. This review aims to provide objective research information through the systematic analysis of patent applications in Korea and internationally, focusing on technologies involving truffles, and can aid in setting directions for research and development.
Background: In this study, we proposed that the population dynamics of non-native red-eared sliders (Trachemys scripta elegans) depends on the species' habitat extension and survivorship. We used a logistic equation with time-dependent habitat carrying capacity. In detail, the present carrying capacity depends on the red-eared slider population of the previous year. Anthropogenic activities such as the abandonment of previously captive red-eared sliders or the release due to religion customs would supply new habitats to the species. Therefore we assumed that anthropogenic spread increases the habitat carrying capacity. Based on the urbanization increase rate of 3% in Korea from 1980 to 2000, we assumed an annual spread of 3% to simulate the population dynamics of the red-eared slider. In addition, the effect on the population of an increase of natural habitats due to migration was simulated. Results: The close relationship between the distributions of non-native red-eared sliders and of urbanized areas demonstrates that urbanization plays an important role in providing new habitats for released individuals. Depending on the survivorship, the population of the red-eared slider in Korea increased 1.826 to 3.577 times between 1980 and 2000. To control population growth, it is necessary to reduce carrying capacity by reducing habitat expansion through prohibition of release into the wild ecosystem and careful managements of the wetland or artificial ponds. Changes in the habitat carrying capacity showed that the population fluctuated every other year. However, after several years, it converged to a consistent value which depended on the survivorship. Further, our results showed that if red-eared sliders expand their habitat by natural migration, their population can increase to a greater number than when they have a 99% survivorship in a fixed habitat. Conclusions: Further introductions of red-eared sliders into wetlands or artificial ponds should be prohibited and managed to prevent future spread of the species. Moreover, it is important to reduce the species' survivorship by restoring disturbed ecosystems and maintaining healthy ecosystems.
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