• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.25-25
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• 2010

태양광 에너지는 인류의 미래 에너지로서 이미 그 효용성을 전 세계에 드러내고 있다. 각 나라마다 자국의 에너지 전략 및 일조량등 환경적 여건 또는 경제적 수준에 따라 다양한 에너지 수급의 양태를 띠고 있지만 향 후 한세대 내에 전세계 에너지의 30% 정도를 태양에너지로 공급받게 될 것으로 기대하고 있다. 이러한 추세 속에서 태양광 에너지의 방식도 여건에 따라 다양한 형태들이 상호 경쟁과 보완의 과정을 거치며 꾸준히 연구 개발되어오고 있다. 집광형 태양전지는 그 중에서 광전변환효율의 관점에서 41%라는 경이적인 기록을 가지고 있으며 매년 평균 1% 씩의 발전을 꾸준히 달성해 오고 있다. 특히 화합물반도체 태양전지의 경우 1900년대 후반부터 인공위성등의 에너지 모듈로 독자적인 시장을 형성하고 있었지만 경제성등의 이유로 지상 에너지의 대안으로 고려되지 못하고 있었으나 집광시 효율이 높아지는 특이현상과 다중접합을 통한 태양에너지 스펙트럼의 흡수영역 확대등을 통하여 총체적인 효율이 30%를 넘어서면서부터 서서히 대전력 에너지원으로 주목을 받기 시작하였다. 이러한 기술적 경쟁력에도 불구하고 전세계 태양전지 시장의 대부분은 단결정 실리콘 태양전지가 차지하고 있으며 박막형 태양전지 혹은 유기태양전지등 차세대 태양전지 또한 기존의 단결정 실리콘 태양전지를 기준으로 상대적인 가격경쟁력을 높이므로서 기존시장을 잠식하거나 신규시장을 통하여 점유율을 높이는 전략을 고려하고 있다. 본 세미나를 통하여 현재 화합물반도체 집광형 태양전지 시장을 살펴보고 시장 진입의 걸림돌에 대한 분석과 향 후 동향에 대하여 논의하도록 한다.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.386-399
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• 2021

This study targets the rapidly growing electric vehicle industry. Currently, China is the world's largest electric vehicle producer, and several global and local companies are adapting to the transition environment of the electric vehicle industry and carrying out various activities. To analyze the causes and environmental characteristics of this transition, we analyzed the activities of the Chinese government, automobile companies, and companies in forward and backward linked industries, which are major actors in the production network. As a result, with full support from the Chinese government, functional changes of existing actors and an increase in the entry of new actors resulted in a transition to an electric vehicle industry space accompanied by new values.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.42-42
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• 2020

충남서부권은 기상이변으로 강수량이 적고 가뭄이 심화되고 있는 반면, 신규수원 개발 적지 부족 등 용수공급에 어려움을 겪고 있다. 2015년부터 2016년까지 가뭄시 비상용수공급을 위해 비상도수로를 건설하였다. 이 비상도수로는 보령댐의 가뭄단계 상황기준으로 운영중에 있다. 가뭄단계 상황이 경계단계에 진입하면 도수로를 가동시작하여 관심단계 회복시에 중단하게 된다. 동 연구는 현재 운영중인 보령댐도수로의 가동Rule을 수량(이수안전도), 수질(BOD), 전력비용을 고려하여 시나리오별로(상시도수, 총 도수량대비 25%, 50%, 75%, 100%) 도수할 때 어느 도수 Rule이 수량-수질-에너지 넥서스 측면에서 가장 유리한지를 밝혀 내고자 하였다. 연구에 사용된 기초자료는 보령댐도수로 준공이후 2016년~2019년 도수실적 자료를 이용하였다. 수량(이수안전도) 검토는 MODSIM을 활용하였고, 수질개선효과는 실측 BOD를 기준으로 도수조건별로 오염부하량으로 검토하였다. 전력비용은 금강원수 도수년도별로 산정하여 분석하였다. 추가 연구결과를 통해 가뭄단계 상황기준, 월별 물관리 여건을 고려하여 기준향후 비상도수로 운영에 있어서 수량절량, 수질개선, 전력비용 절감을 기대할 수 있을 것이다.

• Prospectives of Industrial Chemistry
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• v.14 no.4
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• pp.29-40
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• 2011

앞으로 글로벌 시장에 진입할 수 있는 작물보호 신물질 개발을 위해서는 기술 난이도가 크면서 파급성 및 경제성을 갖는 친환경 신규작용점 탐색과 독창적 Scaffold를 갖는 후보물질 또는 천연물소재 발굴에 주력해야 하며, 이를 지원하는 HTS, 화합물은행 및 천연물은행 활용 분자설계 및 최적화 합성기술 등 후보물질 발굴 핵심 기술개발에 국가적인 지원이 지속적이고 장기간에 걸쳐 이루어져야 한다. 고품질의 식량생산 관리기술은 물론 석유대체 에너지 확보를 위한 농작물 바이오매스(작물, 사료, 바이오연료 등) 생산관리기술로서, 그린바이오기반(Target 효소, 천연물소 재탐색응용) 저탄소 녹색성장을 실현시키기 위한 친환경적인 생화학 작물보호제 개발이 필요하다. 또한 인구 증가와 유가상승 등 전 세계적인 경제위기 극복과 이산화탄소 증가에 따른 온난화 등 지구환경보존의 중요성이 크게 증가되면서 안전한 먹거리 생산과 환경오염을 최소화하는 지속적 생산체제를 갖추기 위하여 LOHAS (Lifestyle Of Health And Sustainability) 트랜드가 최근 농업의 화두로 떠오르고 있다. 이를 만족시키기 위하여 OECD를 중심으로 하는 선진 국가들은 기존 작물보호제의 사용을 5년 이내에 현재 사용량의 절반 이하로 감소시키고자 하고 있는데, 특히 지속적 재배와 국민건강 보호를 위한 LOHAS 농작물의 생산이 매년 50-100억불로 성장하고 있다. 이러한 추세는 2017년까지 그 성장세가 계속 지속될 것으로 예상되고 있어 미생물/생화학 중심의 바이오작물보호제의 개발은 LOHAS 트랜드를 충족시킬 수 있는 유력한 수단으로 인식되고 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.313-314
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• 2022

현재의 양식업을 살펴보면 영세 양식어업인 중심의 정책으로 운영되어지고 있다. 이러한 정책의 문제점은 대규모의 자본 및 신규 인력의 진입이 어려운 부분이 있다는 점이다. 이 문제로 인해 양식업 종사자의 고령화로 양식업에 피해가 발생하고 있다. 본 논문은 위와 같은 인력 문제를 해결하기 위해 아두이노를 이용한 양식장 스마트화를 제안한다. 이 방법은 사물인터넷을 기반으로 양식장의 자동 제어 및 원격 통신을 이용한 수동 제어가 가능하며 센서들의 값을 어플리케이션으로 전송받아 핸드폰으로 받아 볼 수 있다. 또한 단순한 양식을 떠나 실시간으로 자연의 생태환경을 유지하는 효과를 보이고 최적의 생육환경을 맞추어간다는 점에 있어 기존 양식장의 어류와 비교해보았을 때 더 높은 품질의 어류를 기대해 볼 수 있다.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.1-22
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• 2017

Analysis of future business or investment opportunities, such as business feasibility analysis and company or technology valuation, necessitate objective estimation on the relevant market and expected sales. While there are various ways to classify the estimation methods of these new sales or market size, they can be broadly divided into top-down and bottom-up approaches by benchmark references. Both methods, however, require a lot of resources and time. Therefore, we propose a data-based intelligent demand forecasting system to support evaluation of new business. This study focuses on analogical forecasting, one of the traditional quantitative forecasting methods, to develop sales forecasting intelligence systems for new businesses. Instead of simply estimating sales for a few years, we hereby propose a method of estimating the sales of new businesses by using the initial sales and the sales growth rate of similar companies. To demonstrate the appropriateness of this method, it is examined whether the sales performance of recently established companies in the same industry category in Korea can be utilized as a reference variable for the analogical forecasting. In this study, we examined whether the phenomenon of "mean reversion" was observed in the sales of start-up companies in order to identify errors in estimating sales of new businesses based on industry sales growth rate and whether the differences in business environment resulting from the different timing of business launch affects growth rate. We also conducted analyses of variance (ANOVA) and latent growth model (LGM) to identify differences in sales growth rates by industry category. Based on the results, we proposed industry-specific range and linear forecasting models. This study analyzed the sales of only 150,000 start-up companies in Korea in the last 10 years, and identified that the average growth rate of start-ups in Korea is higher than the industry average in the first few years, but it shortly shows the phenomenon of mean-reversion. In addition, although the start-up founding juncture affects the sales growth rate, it is not high significantly and the sales growth rate can be different according to the industry classification. Utilizing both this phenomenon and the performance of start-up companies in relevant industries, we have proposed two models of new business sales based on the sales growth rate. The method proposed in this study makes it possible to objectively and quickly estimate the sales of new business by industry, and it is expected to provide reference information to judge whether sales estimated by other methods (top-down/bottom-up approach) pass the bounds from ordinary cases in relevant industry. In particular, the results of this study can be practically used as useful reference information for business feasibility analysis or technical valuation for entering new business. When using the existing top-down method, it can be used to set the range of market size or market share. As well, when using the bottom-up method, the estimation period may be set in accordance of the mean reverting period information for the growth rate. The two models proposed in this study will enable rapid and objective sales estimation of new businesses, and are expected to improve the efficiency of business feasibility analysis and technology valuation process by developing intelligent information system. In academic perspectives, it is a very important discovery that the phenomenon of 'mean reversion' is found among start-up companies out of general small-and-medium enterprises (SMEs) as well as stable companies such as listed companies. In particular, there exists the significance of this study in that over the large-scale data the mean reverting phenomenon of the start-up firms' sales growth rate is different from that of the listed companies, and that there is a difference in each industry. If a linear model, which is useful for estimating the sales of a specific company, is highly likely to be utilized in practical aspects, it can be explained that the range model, which can be used for the estimation method of the sales of the unspecified firms, is highly likely to be used in political aspects. It implies that when analyzing the business activities and performance of a specific industry group or enterprise group there is political usability in that the range model enables to provide references and compare them by data based start-up sales forecasting system.

• Knowledge Management Research
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• v.21 no.3
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• pp.1-25
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• 2020

This study analyzed key success factors of Korean car-sharing enterprises, Socar and Greencar, and the responsive strategies of Korean car-manufacturing company, Hyundai Motor Group, in the face of emerging sharing economy under the specific economic and regulatory system in Korea. The outcomes of the analysis are as follows. 'Timely market entry' in early startup phase and 'use of external resources' in early growth phase were key success factors common to both Socar and Greencar. However, the differences in the eventual business directions of the two companies also resulted in different key success factors in the expansion phase of their business. For Socar which focused on maintaining its independence and the external growth of B2C business, customer relation marketing and sufficient capital raising were key success factors. For Greencar which became a part of a business group and focused on improving the efficiency of business operations, timely market entry (B2B market) was key success factor. The use of external resources and cooperation with large corporations emerged as key success factors common to both companies in the rapid growth phase. The responsive strategies of the Hyundai Motor Group were collaboration, investment and direct management of DeliveryCar. The short-term goal of the responsive strategy was the operation of test-bed in collaboration with car-sharing company while the mid/long term goal was planning new mobility services by utilizing collected data. Securing opportunities for early market dominance for autonomous car industry was also found to be an important goal.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.25-33
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• 2020

South Korea entered an aged society phase in 2017 with the elderly accounting for 14% or higher of the entire population. It is expected to enter a super-aged society phase in 2026. The mobility handicapped, including the disabled and the elderly, are expected to grow continuously, and the demand for transport service for the mobility handicapped will definitely increase further. Thus, there is thus a need for various research to increase the utilization rate of low-floor buses among the mobility handicapped. This study analyzed the locations of getting on and off transportation means, time of departure and arrival, purpose of use, and frequency of use by the day among the mobility handicapped by making use of the information about their use of special transport service run by the mobility support center for the mobility handicapped. The study then proposed a method of selecting locations for low-floor bus stops to reflect the distribution and need of getting on and off transportation means among the mobility handicapped with such spatial analysis techniques as geocoding, overlapping analysis, buffer analysis, and generate tessellations. Finally, the study selected 228 locations for low-floor bus stops in Cheonan and reported a need to add 35 low-floor bus stops after eliminating the ones where the locations overlapped the old ones.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.97-108
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• 2014

The purpose of this study was to seek for solutions of activating convention hotels entering to the newly created market, focused on the case study of the convention hotel in KangwonLand in the competitive MICE environment. According to the analysis for reception setup for MICE, it is urgently required to improve shopping facilities, securing manpower, the accessibilities in KangwonLand convention hotel. This study suggests several ways to identify differentiation such as facilities discriminations, reasonable prices when holding conventions/events. It is also proposed that there is a need to focus incentive tour when marketing. To succeed in hosting events of MICE at the convention hotel, it appears to be considered to host large scale of domestic or overseas events, to measure reasonable room rates, promote niche market through middle or small scale events, attract customers to revisit and save transportation costs for participants. From the study, it is expected to find efficient ways to activate convention hotels through MICE market entry.

• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.47-58
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• 2020

The ICEC (Index of Construction Engineer's Competency) quantifies the competence of construction engineers using such parameters as experience, education, and qualifications and assigns four technical grades (expert, advanced, intermediate, and beginners) to construction engineers according to their scores for the efficient management and loading of technical personnel. However, as of 2020, the seventh year since its implementation, ICEC has shown many problems in its application, unlike its intended purpose. So institutional supplementation is required to provide improvement measures that can cope with the changing labor market environment and complement the current ICEC. Therefore, this study examined the current status of the career management system after the introduction of the ICEC, suggested a career index proportional to the competence of construction engineers from the beginner to the expert level, and developed an effective capability evaluation model I²CEC. The improved model presented in this study provides a means to comprehensively judge the performance, experience, and the professional work abilities of construction management engineers. Furthermore, the results of this study are expected to contribute to the development of efficient manpower and career management systems for enhancing the competitiveness of the domestic construction industry.