• Journal of Ginseng Culture
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• v.1
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• pp.1-10
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• 2019

The purpose of this study is to investigate the changes of ginseng properties through bibliographical records. The cultivation of Korean wild simulated ginseng (mountain cultivated ginseng) started from the Goryeo Dynasty around A.D. 1000. Thereafter, from A.D. 1500 to A.D. 1600, ginseng cultivation technology was established in the Joseon Dynasty. At this time, the ginseng was begun to grow in the field near the house, and it is recorded as Gasam (field cultivated ginseng). The Jung-Jo-Sil-Rok (A.D. 1790) states that Gasam cultivation has expanded to the whole country. The properties of ginseng described in almost all oriental medicine books from A.D. 250 to A.D. 1600 were a slightly cold. However, after A.D. 1600, it is said to be slightly warm or warm. Considering from this record, the slightly cold ginseng before A.D. 1600 can be recognized as the properties of wild ginseng or wild simulated ginseng, and the slightly warm ginseng after A.D. 1600 can be recognized as Gasam properties.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.29 no.2
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• pp.54-60
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• 2019

Recently, various composite materials for additive manufacturing are interested to expand the application field of 3D printing. 3D printing technique was mainly developed using polymer, and ceramic materials for 3D printing are still in the early stage of research due to the requirement of high solid content and post treatment process. In this study, silica particles with various diameters were surface treated with silane coupling agent, and synthesized as silica composite with photopolymer to apply DLP 3D printing process. DLP is an additive manufacturing technology, which has high accuracy and applicability of various composite materials. The rheological behavior of silica composite was analyzed with various solid contents. After DLP 3D printing was performed using silica composites, the printing accuracy of the 3D printed specimen was less than about 3 % to compare with digital data and he bending strength was 34.3 MPa at the solid content of 80 wt%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.62-70
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• 2018

In this study, we synthesized Oligo Peptide (Lys-Val-Ala-Arg-Pro: KVARP) and peptide derivatives using Solid Phase Peptide Synthesis(SPPS). KVARP was commonly known to improve whitening of skin. We measured bio-activity of the synthesized compounds. The whitening effect was measured in tyrosinase inhibition and the result showed to be highly effective with 93% inhibition rate at $5000{\mu}g/m{\ell}$ of Geranic-KVARP, on the other hand the IC50 value was $68{\mu}g/m{\ell}$. The wrinkle-reducing effect was measured by elastase inhibition at a concentration of 63% at $400{\mu}g/m{\ell}$ of Salicylic-KVARP, and the IC50 value was $253{\mu}g/m{\ell}$. In the DPPH assay, Caffeic-KVARP showed more than 95% antioxidant activity at $400{\mu}g/m{\ell}$ with high concentration and IC50 value was $31{\mu}g/m{\ell}$. The anti-inflammatory effect of Nitric Oxide inhibition was 67% at $400{\mu}g/m{\ell}$ of Lipoic-KVARP. Therefore, the four types of KVARP derivative that were synthesized from various experiments has shown that it could have potential to be used to develop new medicines, cosmetics as well as in various industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.786-794
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• 2018

In recent years, in response to rapid technological change, technology planning activities are important for companies to cope with technological competition. However, Small and Medium Enterprises(SMEs) lack the resources and competence to establish their own technology roadmaps. Therefore, government-led roadmaps for SMEs have been proposed to support the R&D direction and R&D capabilities of SMEs. However, SMEs R&D policies are still not well linked with technology roadmaps and R&D programs. In other words, the size of R&D for SMEs is determined according to demand of SMEs regardless of strategic technology roadmap. In this study, we propose a investment prioritization model based on a technology road map to unify R&D investment policy. Using the decision model designed to prioritize strategic technology investments in the SME strategy roadmap, we conduct empirical analysis of strategic technologies in the advanced convergence and green manufacturing. AHP analysis was conducted after questionnaires on the importance of strategic technology and the importance of influential factors to 46 experts such as expert of research institutes and support organizations.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.26-34
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• 2021

In the era of the Fourth Industrial Revolution, the future battlefield will carry out multi-area operations with hyper-connected, high-speed and mobile systems. In order to prepare for changes in the future, the Korean military intends to develop various weapons systems and form a multi-layer tactical network to support On The Move communication. However, current tactical networks are limited in support of On The Move communications. In other words, the operation of multi-beam antennas is necessary to efficiently construct a multi-layer tactical network in future warfare. Therefore, in this paper, we look at the need for multi-beam antennas through the operational scenario of a multi-layer tactical network. In addition, based on development consideration factors, features of rotary-wing and fixed-wing aircraft, we present the location and operation of airborne relay drone installations of multi-beam antennas.

• Journal of Korea Foundry Society
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• v.41 no.2
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• pp.127-131
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• 2021

Based on its good compatibility with high-temperature environments, the Ti-48Al-2Cr-2Nb alloy is used for high-temperature materials of industrial equipment. In this study, a Ti-48Al-2Cr-2Nb alloy turbocharger turbine wheel was fabricated by a vacuum centrifugal casting method. The conditions that prevent misrun defects of the turbocharger turbine wheel blade from centrifugal casting using alumina molds were investigated. The microstructure of the alloy prepared by vacuum centrifugal casting was studied by means of optical microscopy (OM), with a micro-Vickers hardness analyzer (HV), by X-ray diffraction (XRD) and by SEM-EDS. The HV and SEM-EDS examinations of the as-cast Ti-48Al-2Cr-2Nb alloy showed that the thickness of the oxide layer (α-case) was typically less than 50 ㎛. At a high preheating temperature of 1,100℃, a moderate RPM of 260, and with an alumina mold with a large gate size, there were almost no misrun defects. Therefore, it was confirmed that a Ti-48Al-2Cr-2Nb alloy turbocharger turbine wheel with fewer misrun defects could be achieved through a high preheating temperature, a moderate RPM, a large gate size and an alumina mold to suppress the formation of alpha-case components.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.685-696
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• 2021

The Korean Economically Active Population Survey (KEAPS) is a national survey that produces employment-related statistics. The main purpose of the survey is to find out the economic activity status (employed/ unemployed/ non-employed) of the people. KEAPS has a unique characteristics caused by the survey method. In this study, through understanding of structural non-response and utilization of past data, we would like to present an improved imputation model. The performance of the proposed model is compared with the existing model through simulation. The performance of the imputation models is evaluated based on the degree of mathing/nonmatching rates. For this, we employ the KEAPS data in November 2019. For the randomly selected ones among the total 59,996 respondents, the six explanatory variables, which are critical in determining the economic activity states, are treated as non-response. The proposed model includes industry variable and job status variable in addition to the explanatory variables used in the precedent research. This is based on the linkage and utilization of past data. The simulation results confirm that the proposed model with additional variables outperforms the existing model in the precedent research. In addition, we consider various scenarios for the number of non-responders by the economic activity status.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.3
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• pp.303-310
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• 2021

Cracks in bridges are important factors that indicate the condition of bridges and should be monitored periodically. However, a visual inspection conducted by a human expert has problems in cost, time, and reliability. Therefore, in recent years, researches to apply a deep learning model are started to be conducted. Deep learning requires sufficient data on the situations to be predicted, but bridge crack data is relatively difficult to obtain. In particular, it is difficult to collect a large amount of crack data in a specific situation because the shape of bridge cracks may vary depending on the bridge's design, location, and construction method. This study developed a crack detection model that generates and trains insufficient crack data through a Generative Adversarial Network. GAN successfully generated data statistically similar to the given crack data, and accordingly, crack detection was possible with about 3% higher accuracy when using the generated image than when the generated image was not used. This approach is expected to effectively improve the performance of the detection model as it is applied when crack detection on bridges is required, though there is not enough data, also when there is relatively little or much data f or one class.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.60-66
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• 2021

Various insects live around us. Nowadays, insects are raised as a hobby at home or medicinal insects are bred in large quantities for commercial purposes. In addition, various studies have been conducted to understand the various growth characteristics of insects. In the laboratory, environmental factors were changed to do that, but only the growth characteristics could be analyzed. However, it is almost not easy to measure the skin temperature or body temperature basically needed to reveal the growth characteristics in the case of insects. In particular, the results of experiments on the skin temperature of winged insects are very insufficient. In this study, the skin temperature of insects was photographed and measured for bees and butterflies living in natural conditions under various biological activity conditions such as at rest and during flight using a thermal imaging camera, a non-contact temperature measurement method. Through quantitative analysis of the experimental results, the relationship between the biological activity characteristics of each insect and the skin temperature resulting from such biological activity was investigated. In addition, it was confirmed that honeybees maintained different skin temperatures for three important activities, such as flying, honey collection, and relocation, and that the butterflies performed a warm-up stage for flight similar to the characteristics of moths.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.33-46
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• 2019

Even though Korea is strengthening the support for startups due to the limitations of growth policies focusing on large companies, the survival rate of startups is very low, so that there should be more efforts to increase the survival rate of startups. As the existing startup support institutions have provided only fragmentary supports to startups, it would be necessary to have the comprehensive support institutions. As an alternative, the accelerator providing the comprehensive support such as spatial support, education, mentoring, networking, seed investment, and connection for follow-up investment to the initial startups was legalized in Korea of 2016, based on the registration system. Currently, within less than two year from then, there have been much interest in it enough to have about 136 registered accelerators. In the United States, the accelerator was introduced more than ten years ago. In Korea, however, it is still in the initial stage, so that the researches or social consensus on the accelerator are not sufficient. Thus, this study aims to suggest the measures for the development of accelerator and the consensus on the decision making for the selection of accelerator of startups, by researching which parts are considered when startups in the accelerator stage select the accelerator. As a result of the empirical analysis, the factor that has the greatest influence on decision making factors when startup chooses an accelerator was the subsequent investment attraction. This can be explained to the accelerator as desired, considering the factor that the startup of the initial stage places the most importance on growth as investment. We hope that these research results will be sustainable in future research related to accelerators, in hopes that it will be useful for establishing accelerator policies for domestic startups and direction for revitalizing related industries.