• Journal of Industrial Convergence
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• v.21 no.12
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• pp.37-43
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• 2023

In today's business landscape, collaboration and interoperability are crucial for organizational success and profitability. However, integrating operations across multiple organizations is challenging due to differing roles and policies in Identity and Access Management (IAM). User-centric identity (UCI) adopts a personalized approach to digital identity management, centering on the end-user for authentication and access control. It provides a decentralized system that ensures secure and customized access for each user. UCI aims to address complex security challenges by aligning access privileges with individual user requirements. This research delves into UCI's ability to streamline resource access amidst conflicting IAM roles and protocols across various organizations. The study presents a UCI-based multi-domain access control (MDAC) framework, which encompasses an ontology, a unified method for articulating access roles and policies across domains, and software services melding with UCI infrastructure. The goal is to enhance organizational resource management and decision-making by offering clear guidelines on access roles and policy management across diverse domains, ultimately boosting companies' return on investment.

• Bulletin of the Korea Photovoltaic Society
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• v.4 no.2
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• pp.62-70
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• 2018

대한민국 정부는 '재생에너지 3020 계획'에 따라 2030년까지 재생에너지 발전 비중을 20%까지 확대하겠다는 방침을 세웠다. 목표 달성을 위한 태양광발전은 30.8GW을 신규설비로 확보해야 하지만 신재생에너지를 설치할 수 있는 공간은 한정되어 있어 추가적인 공간이 문제가 된다. $297km^2$의 건물 부지를 소관하고 있는 군(軍)은 공공기관 중 가장 넓은 부지를 보유한 단일 기관이다. 이러한 군 유휴공간을 활용한 민간투자방식의 태양광 발전사업 경제적 타당성을 연구하였다. 본 연구에서는 경제적 효과를 RETScreen을 통해 분석하였고, 그 결과 내부수익률(IRR) 10.7%로 경제적 타당성이 입증되어 민간투자의 사업성을 확인하였다. SWOT분석 결과에 따르면 군 태양광 BOT사업은 전력 모니터링 및 유지보수 등 사업 전 과정에서 보안 요소가 발생하지만, 강한 규제의 산지 및 임야의 대안으로 표준화된 군사시설이, 한 번의 설계로, 유휴공간에 대량 설치가 가능한, 모듈화의 이점을 가지고 있었다.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.331-341
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• 2011

The study empirically analyses a linear relationship between terrestrial advertising rates and viewer ratings. Consistent with the results of preceding studies, the present study finds a convex relationship between standard advertising rates and viewer ratings. However, after all other sales practices are taken into account, a linear relationship is documented between per-minute advertising revenue and viewer ratings. Absent the exact functional relationship between the two, it is hard to evaluate accurately how efficiently or inefficiently the current GS System has operated, but it tells us that a certain level of market mechanism prevailed within the system. The findings are consistent with the 1 Public-1 Private Media Representative alternative among many alternatives currently sought by the KCC should we accept the premise that the public aspect is as equally important as, if not more important than, the efficiency aspect of terrestrial broadcasting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.216-222
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• 2020

A comparative analysis of farm incomes was performed from the new composition system of crops, such as feed crops, including soybeans, Italian ryegrass, soybean-potatoes, and soybean-barley planted in rice fields. Through this analysis, the suggested implications were derived, and the technological solutions were determined. The profitability of the composition of soybean-Italian ryegrass showed that the soybeans yield was 325kg/10a, and the sale price was ￦3,962/kg, leading to a gross revenue of ￦1,288,000/10a. The yield of Italian ryegrass was 1,584kg/10a with a sale price of ￦125/kg, showing a gross revenue of ￦198,000/10a. The net income of soybeans was ￦284,000/10a, which means a net income rate of 22.1%, whereas the net income of Italian ryegrass was -￦30,000/10a. The composition of soybeans-potatoes and soybeans-barley showed a gross revenue of ￦930,000/10a and ￦375,000/10a, respectively. The crop composition types have been developed for the Income Type, Production Type of Forage, Improvement Type of Food Self-Sufficiency, and Corresponding Type to Climate Change. On the other hand, regional types have not been developed sufficiently. In addition, various selections of alternative crops and the establishment of crop composition congruent to the specific regions should be developed systematically in terms of the production technology. Therefore, it is necessary to develop the technological establishment of the crop composition through continuous related studies with the mid-to-long term objectives of land utilization and grain self-sufficiency rates.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.377-396
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• 2023

As the cryptocurrency market continues to grow, it has developed into a new financial market. The need for investment strategy research on the cryptocurrency market is also emerging. This study aims to conduct an empirical analysis on an investment methodology of cryptocurrency that combines short-term trading strategy and deep learning. Daily price data of the Ethereum was collected through the API of Upbit, the Korean cryptocurrency exchange. The investment performance of the experimental model was analyzed by finding the optimal parameters based on past data. The experimental model is a volatility breakout strategy(VBS), a Long Short Term Memory(LSTM) model, moving average cross strategy and a combined model. VBS is a short-term trading strategy that buys when volatility rises significantly on a daily basis and sells at the closing price of the day. LSTM is suitable for time series data among deep learning models, and the predicted closing price obtained through the prediction model was applied to the simple trading rule. The moving average cross strategy determines whether to buy or sell when the moving average crosses. The combined model is a trading rule made by using derived variables of the VBS and LSTM model using AND/OR for the buy conditions. The result shows that combined model is better investment performance than the single model. This study has academic significance in that it goes beyond simple deep learning-based cryptocurrency price prediction and improves investment performance by combining deep learning and short-term trading strategies, and has practical significance in that it shows the applicability in actual investment.

• KDI Journal of Economic Policy
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• v.27 no.2
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• pp.45-87
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• 2005

This study attempts to provide a basis of selecting policy directions by empirically analyzing the effect of policy lending programs for SMEs in Korea using micro firm-level data and examining whether the programs contribute to improving the performance of SMEs and thus effectively carry out their missions. From the estimations using Ashenfelter(1978)'s approach, the evidence of differences in profitability enhancement between the benefited group and the never-benefited group could not be found in most cases. In addition, the estimations show that the policy lending program had stronger profit enhancing effects on the young SME group for the year that the program was applied, and indicate that the policy lending program might be the factor that makes the 'older' benefited SMEs to become addicted to the government policy and thus hinder them in their development to become more competitive and innovative. These results suggest that, when the programs are needed to support SMEs' financing, it is more effective to target the start-up companies or SMEs in their early stages rather than old SMEs.

• Asia Marketing Journal
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• v.7 no.1
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• pp.67-89
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• 2005

In recent decades, product variety has increased dramatically in most industries. Rapidly evolving technologies, global competition, and sophisticated customers have contributed to an increase in product variety in many industries. In this paper, I study the impact of product variety on several businesses in the supply chain through literature review. By study of literature. this paper presents the benefits and drawbacks of increasing product variety on functions performed in several departments, such as engineering, manufacturing, purchasing, logistics and marketing. It provides a brief overview of the various techniques like modularity, component sharing, and platform-based development, which are helpful in reducing the costs, when designing for variety. It also provides a brief overview of order processing, purchased component/part variety, which are helpful in reducing the purchasing costs, and customer satisfaction, market advantage, market share, competitive advantage and demand forecast, which are useful in impact of product variety on marketing. Future research directions are discussed.

• The Korean Journal of Applied Statistics
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• v.37 no.3
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• pp.265-282
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• 2024

Research in the area of financial portfolio optimization, with the dual goals of increasing expected returns and reducing financial risk, has actively explored various risk measurement indicators. At the same time, the incorporation of various penalty terms to construct efficient portfolios with limited assets has been investigated. In this study, we present a novel portfolio optimization formula that combines the mean-shortfall portfolio and the SLOPE penalty term. Specifically, we formulate this optimization expression, which differs from linear programming, by introducing new variables and using the alternating direction method of multipliers (ADMM) algorithms. Through simulations, we validate the automatic grouping property of the SLOPE penalty term within the proposed mean-shortfall portfolio. Furthermore, using the model introduced in this paper, we propose and evaluate four different types of portfolio compositions relevant to real-world investment scenarios through empirical data analysis.

• 한국가스학회:학술대회논문집
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• 2007.04a
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• pp.195-200
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• 2007

본 연구는 도심지에 위치한 LPG 충전소를 연구범위로 하여 공간정보의 활용이 가장 많이 요구되는 안전관리 분야의 업무를 중심으로 공간정보를 효율적으로 구축 활용하기 위하여 데이터베이스를 중심으로 위험관리정보 시스템을 개발하였다. 이를 바탕으로 정량적 위험성 평가의 자동화를 통해 나타난 위험성을 실시간에 제어하기 위한 필요조건을 표준화하여 기초 정보자료로 구축, 이를 지리정보기능과 연동하여 LPG 충전소의 안전검사의 효율화, 사전 위험성 평가, 사고대응 판단의 효과적인 의사결정을 유도 할 수 있는 기반을 제공한다. 위험관리정보시스템(RMIS, Risk Management Information System) 개발절차는 다음과 같다 첫째, 도심지에 위치한 LPG 충전소 위험성 평가를 수행함에 있어서 기본적인 데이터인 부지내(On-site) 관련 자료와 부지 외(Off-site) 관련 자료를 관계형 데이터베이스(RDB, Relational Database)로 개발하였다. 둘째, Visual Basic을 이용하여 사용자가 효과적으로 위험을 관리 제어 할 수 있는 위험관리 통합 데이터베이스 시스템 개발하였다. 셋째, 위험관리 통합 데이터베이스 시스템과 지리정보시스템에 연동을 통한 의사결정 방안 제시하였다. 위험관리정보시스템(RMIS) 프로그램을 개발을 통하여 다음과 같은 결과를 도출하였다. 첫째, 위험관리 데이터 이용하여 사용자와 검사자가 효과적으로 위험을 사전관리 할 수 있는 공유정보를 구축하였다. 둘째, 위험 관리를 부지 내와 부지 외로 나누어 관리함으로서 시설 내부 뿐 만 아니라 시설외부에 미치는 영향을 모두 고려하여 구축하므로 서, 중대사고에 대응 할 수 있는 종합적인 안전관리 기반을 조성하였다. 셋째, 사용자 인터페이스를 바탕으로 비상사태 발생시에 신속하고 정확한 의사결정을 할 수 있는 기반을 조성하였다. 제공하여 응용GIS 구축의 생산성 및 품질 향상에 기여할 뿐만 아니라 우리의 최종목표인 GIS 소프트웨어 자동 생산에도 크게 기여할 것으로 사료된다. 등)을 교통망상에 표시할 수 있음으로서 의사결정에 보다 많은 도움을 줄 수 있을 것이다. 비트율의 증가와 화질 열화는 각각 최대 1.32%와 최대 0.11dB로 무시할 수 있을 정도로 작음을 확인 하였다.을 알 수 있었다. 현지관측에 비해 막대한 비용과 시간을 절약할 수 있는 위성영상해석방법을 이용한 방법은 해양수질파악이 가능할 것으로 판단되며, GIS를 이용하여 다양하고 복잡한 자료를 데이터베이스화함으로써 가시화하고, 이를 기초로 공간분석을 실시함으로써 환경요소별 공간분포에 대한 파악을 통해 수치모형실험을 이용한 각종 환경영향의 평가 및 예측을 위한 기초자료로 이용이 가능할 것으로 사료된다.염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은 존재하므로 이러한 전략을 개발 및 활용할 수 있으며, 특히, 한국주

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.1
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• pp.14-19
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• 2007

This study was conducted to analyze the antioxidant activity and xanthine oxidase inhibitory effect of hot-water extracts from Elaeagnus multiflora Thunb. to provide fundamental data for the development of functional materials. The antioxidative activities of hot-water extracts from E. multiflora Thunb. were analyzed by electron donating ability (EDA) using 1,1-diphenyl-2-picryl hydrazyl (DPPH), superoxide dismutase (SOD) -like activity by pyrogallol and nitrite scavenging ability. EDA of extracts from unripe, ripe, and overripe fruits were 77.7%, 36.0%, and 23.7% at 100 ${\mu}g/mL$, respectively, and EDA of extract in unripe fruits was higher than those of others. At 1,000 $\mu$g/mL, the SOD-like activities were 32.8%, 11.2% and 5.0% for unripe, ripe, and overripe fruits, respectively. The SOD-like activity was increased along with the increase of unripe and ripe extract concentrations. The nitrite scavenging ability of unripe fruit extracts in 100, 300, 500 ${\mu}g/mL$ of extraction solution in pH 1.2 and 3.0 was higher than those of others. The nitrate scavenging ability of all extracts was decreased according to the increase of pH. Xanthine oxidase inhibitory activities of unripe, ripe and overripe fruits were 30.0%, 28.2%, and 18.2% at 1,000 ${\mu}g/mL$, respectively.