• Journal of Applied Biological Chemistry
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• v.64 no.3
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• pp.269-275
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• 2021

The in vitro anti-obesity activity of 12 species of tree sprouts in differentiated 3T3-L1 cells and the mechanisms underlying their activity were evaluated. (+)-Catechin and quercetin concentrations in the sprouts were analyzed by HPLC/UV at 270 and 254 nm, respectively. Euonymus alatus (EAT) and Fraxinus mandschuria (FMS) extracts at doses of 50 and 100 ㎍/mL inhibited the accumulation of lipid droplets in differentiated 3T3-L1 cells. Moreover, EAT and FMS downregulated the expression of the CCAAT/enhancer-binding protein-α, adipogenesis-related proteins peroxisome proliferator-activated receptor-γ, and adipocyte P-2α in differentiated 3T3-L1 cells. Tree sprouts with an abundant flavonoid content exerted the highest anti-obesity activity. Concentrations of total flavonoids were the highest in FMS (24.281 mg/g DW) sprouts. These findings could be used to develop health-promoting functional foods or supplements derived from tree sprouts.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.157-166
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• 2019

The study had subject to find out what factors Korean automobile consumer is considering in their decision to purchase cars in the situation of the growing competition in the domestic automobile market. In order to this end, the previous study was reviewed to select various factors considered in the process of buying cars. Based on this, Analytic Hierarchy Process was used to prioritize which factors were considered more important by consumers. In the result of study, we could find that performance had the highest priority, and the second ranking was the price. In contrast, image of brand and convenience of maintenance were shown to be relatively low in importance, ranking $3^{rd}$ and $4^{th}$, respectively. Beside, we could recognized the ranking of other detailed factors. This study has an academic implication in that it is able to grasp the latest tendency of consumers' purchase choice of car and to make conclusion by applying AHP analysis method to study of related subject. It also have practical significance that can be a basis for make sense what factors should be taken by the automobile industry to uprise the purchase of the consumers through the identification and preparation of the purchase selection criteria of domestic automobile buyers.

• The Transactions of the Korean Institute of Power Electronics
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• v.24 no.5
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• pp.379-387
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• 2019

A bidirectional flyback converter is a suitable topology for use in a PV-to-bus differential power processing (DPP) module for PV applications due to its electrical isolation capability, bidirectional power transfer, high step-up ratio, and simple circuit structure. However, the bidirectional flyback converter design should consider the effect of the output-side power switch utilized for bidirectional operation compared with that of the conventional flyback converter. This study presents the structure and design methodology of the bidirectional flyback converter for a PV DPP module. Magnetizing inductance is designed by calculating the power loss of converter components within the rated load range under the discontinuous conduction mode, which is unaffected by the reverse recovery characteristics of the anti-parallel diode of the output-side power switch. The validity of the proposed design methodology is verified using a 25 W bidirectional flyback converter prototype. The operational principles and the performance of the DPP operation are verified using practical DPP modules consisting of bidirectional flyback converters implemented according to the proposed design methodology.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.87-94
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• 2019

Our study builds up a theoretical model to explain how individual compassion in organizations affects the macro concept of corporate social responsibility (CSR). A theoretical framework conceptualizes whereby individual compassions in work organizations responding to others' suffering generate positive or negative organizational identity, which impact their CSR activities. That is, we proposes that authentic compassion will develop positive organizational identity and then leads to proactive CSR, while pseudo compassion will trigger negative organizational identity and in turn results in reactive CSR. This study aims to explain the antecedents of firms' CSR in terms of individual compassion in organizations, interacted with the dynamics of organizational identity.

• Journal of Korean Society on Water Environment
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• v.27 no.4
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• pp.397-404
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• 2011

This research investigates the runoff characteristics of refractory organic matters from Kyongan river watershed. Samples were taken 27 times during dry season, 4 times during rain events and analyzed into flow rate, Dissolved Organic Carbon (DOC), Particulate Organic Carbon (POC), Refractory Dissolved Organic Carbon (R-DOC), Refractory Particulate Organic Carbon (R-POC). R-DOC during dry season was the lowest in winter and showed a rising tendency in spring and R-POC changes less than R-DOC. The mass loading of Refractory Total Organic Carbon (R-TOC) in summer takes approximately 80% of 1 year mass loading. During rainy season, EMC of R-DOC was similar to R-DOC in dry season. But maximum EMC of R-POC was 12 times higher than that of R-POC in dry season. Results of the survey show that enhanced management of R-DOC in dry season and R-POC in rainy season is needed.

• The Journal of Information Systems
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• v.29 no.4
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• pp.101-121
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• 2020

Purpose The purpose of this study is to understand the current status of MIS curriculum and to find ways to improve it. In addition, the results of the research can be used as basic data for improving MIS curriculum. Design/methodology/approach A research framework was designed to derive research results using the keyword network analysis method of this study: 1) Keywords were extracted based on the six units of the big data analysis job competency. 2) And based on the extracted keywords, the relationship between the keywords and MIS curriculum for each university was identified. Findings In the MIS curriculum information of a few universities, education related to big data analysis was conducted. 1) In the MIS curriculum of a few universities, education related to big data analysis was conducted. However, MIS curriculum of the university, which is the subject of analysis, education focused on concepts and theory rather than practical education was conducted. 2) And it was confirmed that there is a difference from the education required by the industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.193-196
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• 2010

정보화 시대를 거치면서 모든 산업분야에서 대량의 데이터가 생성되고 관리되고 있다. 최근에는 비즈니스 환경의 변화로 인하여 의사결정을 지원할 수 있는 고급 정보에 대한 필요성이 대두되었으며 IT 기술의 발전과 더불어 데이터마이닝에 대한 많은 연구가 활발히 이루어졌다. 데이터마이닝은 금융, 정부, 제조, 유통 등 다양한 분야에서 활용되고 있다. 한편 의료데이터는 다른 산업분야의 데이터와 구별되는 특징이 있는데, 데이터의 이질성과 복잡성, 부정확성과 오류가능성, 불완전성과 윤리 및 법적인 문제, 개인정보보호, 특징 선택의 제한, 모델의 투명성과 설명력에 대한 높은 요구도 등이 그것이다. 이와 같은 이유로 의료데이터에 대한 접근은 제한적일 수 밖에 없다. 그럼에도 병원 전산화를 통해 발생하는 의료데이터의 양은 기하급수적으로 증가하고 있으며, 임상정보를 포함하는 의료데이터는 데이터 자체로도 가치가 매우 크다. 이에 본 논문은 국내 제 3차 의료기관의 2년간 내원환자에 대한 진단데이터를 사용하여 데이터마이닝의 연관법칙을 이용, 상병간의 관계를 연구하고자 하였다. 이를 통해 잠재고객에게는 객관화된 의료지표를 제공하고, 의료기관은 예측 가능한 정보를 종합의료시스템에 활용하여 고객만족도를 높이는 효과를 볼 수 있을 것으로 사료된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1458-1461
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• 2010

작년 7월 7일에 있었던 DDoS 공격과 같이 악성 코드로 인한 피해의 규모가 해마다 증가하고 있다. 특히 변형 웜(Polymorphic Worm)은 기존의 방법으로 1차 공격에서의 탐지가 어렵기 때문에 그 위험성이 더 크다. 이에 본 연구에서는 바이오 인포매틱스(Bioinformatics) 분야에서 유전자들의 유사성과 특징을 찾기 위한 방법 중 하나인 Local Alignment를 소개하고 이를 변형 웜 탐지에 적용한다. 또한 수행의 병렬화 및 알고리즘 변형을 통하여 기존 알고리즘의 $O(n^4)$수행시간이라는 단점을 극복한다. 병렬화는 NVIDIA사의 GPU를 이용한 CUDA 프로그래밍과 AMD사의 GPU를 사용한 OpenCL 프로그래밍을 통하여 수행되었다. 이로써 각 GPGPU 플랫폼에서의 Local Alignment를 이용한 변형 웜 탐지 알고리즘의 성능을 비교하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.189-192
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• 2010

분자 생물학을 통한 연구가 심화되면서, 생물학 정보는 기하급수적으로 늘어나고 있다. 그에 따라 바이오메디컬(생물학, 의학) 관련 논문들의 출판 및 등록 건수도 해마다 증가하고 있다. 그러나 바이오메디컬 문서들에서 유용한 정보를 추출하는 기술은 이러한 분야의 전문가 큐레이터(curator)에 의존한 경우가 많아서, 그 작업의 속도와 양적인 면에서 한계를 가지고 있다. 이러한 이유 때문에 바이오메디컬 문서를 기계학습을 통하여 분석하는 기법이 도입되기 시작하였다. 아직까지는 기계학습을 이용하여 구축된 데이터베이스가 소수에 불과하지만, 점차 증가하는 추세에 있다. 이러한 현 추이를 분석하고 향후의 추세를 예측하고자 텍스트마이닝 기술이 생물학과 의학 분야에서 어떻게 사용되며, 그 정보들이 어떻게 관리되는지 연구, 조사 하게 되었다. 현재 바이오메디컬 관련 데이터베이스들이 여러 기관 및 단체에 의해 구축 및 관리되고 있으며, 국가적인 프로젝트로서 이러한 데이터베이스들을 통합하는 과정을 진행하고 있다. 이처럼 국가기관의 주도하에 데이터베이스를 통합하여 관리하고자 하는 노력들이 계속되고 있어, 앞으로는 바이오메디컬 자료들을 검색하기가 보다 용이해질 것으로 생각된다. 텍스트마이닝을 이용하여 바이오메디컬 정보들을 추출하는 기술은 초기에는 공동 발생(co-occurence)과 같이 단순한 통계적 방법을 이용하였지만, 최근에는 다른 문서에서 추출된 정보와 기존의 정보들을 연계하여 새로운 정보를 추출해 내는 기법이 확산되고 있음을 알 수 있었다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.116-132
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• 2023

Technology innovation companies are focusing on contributing to business performance by R&D project as a strategic tool. Successful R&D leads to corporate competitiveness enhancement, national industrial development, but there are high uncertainty and risks in R&D. Public and private R&D projects are carried out to achieve various purposes. It was verified how the risk management and benefit management of the R&D project affect the detailed R&D project performance between the Public and private domain. The impact of Project Leadership on R&D performance was also analyzed. Those who have participated in the Public and Private R&D projects at companies or research institutes were surveyed. First, it was found that project risk and benefit management have partially an effect on R&D project performance. Second, Public and private R&D Project Leadership showed partially a interaction effect between project management and project performance.