• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2002년도 추계학술발표회
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• pp.149-160
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• 2002

The relatively rapid rising trends of crime rates in marine situations leads to social concerns in Korea. This study reviews some theoretical backgrounds of the economics of crime and apply econometric models to Korean marine crimes. We find that there is a negative relationship between marine crime rates and unemployment rates and positive relationship between price level and marine crime in Korea. And also we find that unemployment elasticities are higher in the 1980s' and price elasticities are higher in th 90's in comparison with the results of the other periods. This findings are incompatible with the previous theoretical researches in advanced countries. This findings show that in rapidly growing economy, marine crime occurrence is proportional to marine economic activity frequency. This result may reflect that marine crimes are different from land crimes.

• 한국경영과학회지
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• 제39권2호
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• pp.97-109
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• 2014

This paper considers a reverse supply chain with simultaneous recovery of used products and manufacturing of brand-new ones. Recovered products are downgraded and have to be sold in a market different from that of brand-new products at a different price. In case of a shortage of recovered product inventory, a brand-new item, if available, can be offered at the price of a recovered product. In other words, one-way demand substitution is allowed. We address the joint decision of when to manufacture brand-new product, when to recover returned product, and how to control demand substitution to maximize the hybrid production system's profits. To this end, we propose a Markov decision Process model and investigate the structure of the optimal policy. Performance comparison is numerically implemented between the models with and without downward demand substitution option under different operating conditions of the system parameters.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2001년도 전력전자학술대회 논문집
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• pp.63-66
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• 2001

Photovoltaic System does military exploit that use heliometer light and is clearness source of energy. Photovoltatic System is no noise, shock among is several Substitute energy and after establishment maintenance having simple special quality, is applied in many fields. However, while Photovoltatic System is having these advantage, but react sensitively in effect of Photovoltaic scanning Quantity, temperature change etc.. surrounding environment, when did not satisfy condition, express indefinite output price. Consider voltage$\cdot$current output measurement value and temperature revision calculation by temperature change of existing photovoltaic system and change of output price of when did Simulation analyzed comparison.

• 기술혁신학회지
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• 제11권2호
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• pp.314-334
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• 2008

본고에서는 IT산업이 우리 경제에 미친 효과를 산업연관표를 중심으로 분석하고자 한다. 1980년부터 2003년 기간의 산업연관표를 활용해 IT 산업의 국민경제에 미치는 파급효과를 분석하였다. IT 산업은 국민경제에서 차지하는 비중이 지속적으로 증대함에도 불구하고 생산파급효과는 대체로 감소하지만 가격효과는 증가하는 것으로 나타났다. IT 산업의 산업연관 관계를 보다 면밀히 살펴보기 위해 9개 산업분야를 대상으로 IT 산업이 미치는 효과를 추정하였다. 그 결과 대부분 산업에서의 IT산업 영향력은 지속적으로 감소하는 것으로 나타났다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제26권4호
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• pp.343-352
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• 2022

We present the user-friendly graphical user interface design and implementation of Monte Carlo simulation (MCS) for computing option price of the four-underlying asset step-down equity linked securities (ELS) using the Android platform. The ELS has been one of the most important and influential financial products in South Korea. Most ELS products are based on one-, two-, and three-underlying assets. However, currently there is a demand for higher coupon payment from ELS products because of the increased interest rate in financial market. In order to allow the investors to have higher coupon payment, it is necessary to design a multi-asset ELS such as four-asset step-down ELS. We conduct the computational experiments to demonstrate the performance of the Android platform for pricing four-asset step-down ELS. Furthermore, we perform a comparison test with a three-asset step-down ELS.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.253-260
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• 2022

Existing web-based cost databases have proved invaluable for construction cost estimating. These databases have been utilized to compute approximate cost estimates using assembly rates, unit rates, and etc. These web-based databases can be used independently with traditional cost estimation methods (manual methods) or used to support BIM-based cost estimating platforms. However, these databases are rigid, costly, and require a lot of manual inputs to reflect recent trends in prices or prices relative to a construction project's location. To address this gap, this study integrated deep learning techniques with web-based price analysis to develop a database that incorporates a project's location cost estimating standards and current cost trends in generating a cost estimate. The proposed method was tested in a case study project in Lagos, Nigeria. A cost estimate was successfully generated. Comparison of the experimental results with results using current industry standards showed that the proposed method achieved a 98.16% accuracy. The results showed that the proposed method was successful in generating approximate cost estimates irrespective of project's location.

• 대한수학회보
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• 제60권2호
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• pp.361-388
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• 2023

In this study, we deal with American lookback option prices on dividend-paying assets under a stochastic volatility (SV) model. By using the asymptotic analysis introduced by Fouque et al. [17] and the Laplace-Carson transform (LCT), we derive the explicit formula for the option prices and the free boundary values with a finite expiration whose volatility is driven by a fast mean-reverting Ornstein-Uhlenbeck process. In addition, we examine the numerical implications of the SV on the American lookback option with respect to the model parameters and verify that the obtained explicit analytical option price has been obtained accurately and efficiently in comparison with the price obtained from the Monte-Carlo simulation.

• 한국통신학회논문지
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• 제33권8B호
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• pp.681-688
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• 2008

본 논문에서는 다중클래스 통신망을 위한 새로운 과금 (pricing) 기반의 호수락 제어 (call admission control) 알고리즘 제안한다. 본 알고리즘에서는 통신망에 새롭게 호가 도착하게 되면, 요청 회선의 수와 필요로 하는 최소 시간을 통신망에 알려준다. 통신망은 기대 수익 (expected revenue)을 최대화하는 최적의 과금을 계산하여 호에 제안한다. 이때, 최적 과금은 도착한 호의 정보와 현재 그리고 미래에 추정되는 호 예약시간 동안의 망내 정체(congestion) 정도를 기반으로 동적으로 조정된다. 호가 제안된 과금을 수락하면 호는 연결이 되고 그렇지 않으면 연결이 되지 않는다. 본 논문에서는 제안된 동적 과금 기반 호수락 제어 알고리즘의 성능을 Courcoubetis와 Reiman[1] 그리고 Paschalidis와 Tsitsiklis [2]의 정적 과금 기반 호수락 제어 알고리즘의 성능과 비교한다. 비록 두 알고리즘은 거의 같은 수익 결과를 보이지만, 동적 알고리즘이 정적 알고리즘에 비해 더 높은 호 수락율과 각 호에 낮은 과금을 제안하는 측면에서 더 뛰어난 성능을 나타냄을 보인다. 이는 경쟁 상황에서 정적 가격 알고리즘에 비해 동적 가격 알고리즘이 더 많은 사용자를 끌어들여 수익을 더 낼 수 있음을 의미하며 더 나아가 접속 요금이 과금에 고려된다면, 동적 과금 호수락 제어 알고리즘이 더 많은 수익을 낼 수 있음을 보인다.

• 한국산학기술학회논문지
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• 제17권4호
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• pp.373-381
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• 2016

핸드크림이 국내 및 수입브랜드에 따른 소비자 구매인식과 피부 유, 수분량에 미치는 영향에 대해 알아보기 위하여 수도권 지역의 여성 105명을 대상으로 핸드크림에 대한 사용현황과 구매현황, 인시에 대한 설문조사를 진행하였다. 이후 시장 조사를 토대로 핸드크림의 가격과 용량, 전 성분을 비교하였고, 고가와 저가, 수입 브랜드와 국내 브랜드로 나누어 17명의 임상실험 대상자를 선정하여 2주 동안 핸드크림 사용 전과 사용 후 수분과 유분, 수분 지속력을 측정하여 분석하였다. 그 결과 핸드크림이 가격과 브랜드가 품질에 미치는 영향이 크다고 생각하는 사람의 비율이 높았으며, 고가와 저가, 수입브랜드와 국내브랜드의 가격을 분석한 결과 1mg (g)당 가격이 최대 4배정도 차이가 나는 것으로 조사되었다. 전 성분을 비교한 결과 보습제인 글리세린과 피부 컨디셔닝제인 세테아릴알코올을 공통적으로 함유하고 있음을 알 수 있었다. 임상실험 결과 제품 그룹별 유, 수분량의 변화는 유의하게 확인되었으나, 제품을 고가와 저가, 수입브랜드에 따른 수분과 유분량의 차이는 통계적으로 유의하지 않은 결과를 확인하였으며, 수분 지속력 역시 통계적으로 유의하지 않은 결과를 나타냈다. 이와 같은 결과는 가격과 브랜드의 차이가 피부의 유, 수분 함량에 미치는 영향과의 상관관계가 없음을 알 수 있었다. 따라서 하루에도 여러번씩 사용하는 소비성이 뛰어난 제품임을 감암할 때 소비자의 니즈를 파악하여 핸드크림에 대한 제품 품질 향상에 기여할 수 있는 기초 자료가 될 수 있으리라 사료된다.

• 한국의류학회지
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• 제32권4호
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• pp.630-640
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• 2008

The purpose of this study was to investigate and make comparison of clothing images presented in women's formal and casual brands. The data were collected from 39 formal brands out of 155 and 64 casual brands out of 256 in Korea Fashion Brand Annual in 2005/2006. 316 words selected were classified into five clothing images according to the definition of previous researches and analyzed according to age ranges and price zones of brands. The results were as follows: 1) Formal brands focused on thirties and forties in age ranges and better and prestige in price zones, while casual brands centered on twenties in age range and better and volume in price zones. 2) Luxury, modem and feminine were more frequent words than others both in formal and casual brands, but elegant was found most frequently in formal brands, while comfortable, chic and simple were found frequently in casual brands. 3) Clothing images were classified into four types and appeared in elegance, modernity, individuality, and activeness order in formal brands, while clothing images in casual brands were classified into five types including youthfulness and appeared in elegance, activeness, modernity, individuality, and youthfulness order. 4) Elegance was a highly presented as clothing image in all the age ranges except thirties of formal brands but modernity and activeness with elegance were presented in price zones of casual brands. This study found that there were differences in clothing images in women's formal and casual brands.