• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.271-272
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• 2019

4차 산업시대로의 진입과 함께 인구 고령화 현상이 지속되면서 정보, 의료, 식품 분야 등의 역할이 중요해지고 있다. 특히 건강한 삶을 영위하기 위해 식품과 의료가 융합한 식치 정보에 대한 사람들의 관심과 필요성이 증가하고 있는 것에 비해 이에 대한 연구는 부족한 실정이다. 따라서 본 연구는 식품과 한의 정보를 수집하고 융합하여 식품 또는 식재료의 영양, 성질, 효능, 질병 등이 결합된 하나의 식치 데이터를 시스템 상으로 구축하고자 하였다. 이를 위해 고조리서, 한의서, 역사서 등의 고문헌과 논문, 특허 등의 현대 과학적 연구 자료를 수집하였으며, 수집된 자료들을 일정 기준에 따라 분류하고 코드화 하였다. 이후 정제된 각각의 데이터들 간의 연관성을 파악하고 연결 지어 식품과 한의 정보가 통합된 하나의 새로운 식치 데이터를 구축하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.1051-1054
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• 2010

본 논문은 옵션 시장에서 푸쉬풀 전략을 제시하고 이의 성능 분석을 한다. 푸시풀 전략은 초기 진입 시 설정한 예탁금이 줄어들지 않도록 관리하는 전략이다. 옵션의 만기에 외가 가격이 0이 되는 특성상외가 매도는 프리미엄의 수익을 기대할 수 있다. 시스템 트레이딩 툴이 멀티차트를 통하여 푸쉬풀 전략을 구현하고, 3월물 옵션에 대하여 성능 분석을 하였다. 2월 5일과 2월 11일에 두 번 임계값 조정이 발생하여, 총 6번의 매매에 총수익 769,000원 발생하였다. 승률은 67%이고, 자산대비 수익률은 한달에 9%가 발생하였다. 푸쉬풀 전략은 급격한 추세장을 제외하고는 한달에 10% 내외의 수익을 기대할 수 있는 안정된 전략으로 개인 투자자의 옵션 투자에 많은 도움을 줄 수 있다. 일반화된 자료를 추출하기 위해서는 향후에 실험 구간을 넓히고, 행사가 이동 구간을 줄이는 최적 지점을 찾아내는 연구가 필요하다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1158-1161
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• 2011

고령화 사회로 진입하고 있는 시점에 고령인구에 대한 복지정책 및 사회전반적인 대응 방안이 모색되어져야할 시기이다. 특히, 고령인구 특성상 의료문제를 해결할 수 있는 효과적인 방법들의 연구가 시급하다. 그러한 문제를 해결하는 방안으로 U-헬스분야와 IT 분야 및 건설분야의 융합을 통한 효율적인 헬스케어 서비스 모델 개발이 요구되고 있다. 본 연구에서는 융합모델의 성공적인 결과 도출을 위한 모델의 구성과 추진 전략 등을 제안하였다.

• Asia Marketing Journal
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• v.6 no.2
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• pp.69-87
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• 2004

This study introduces the marketing case of KT NESPOT, the new product marketing strategy of hi-tech communication services. Hi-tech products have different characteristics and the marketing strategy from introduction to growth stage is particularly important for the success of such products. This case explored the characteristics of hi-tech products, analyzed the marketing environments, and suggested how such new products can succeed in marketing.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.275-276
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• 2022

본 연구에서는 비즈니스 연속성 경영시스템(ISO 22301)이 현재 선진국에 진입해 있는 대한민국 사회에 당면과제이며 이슈가 되고 있는 중대산업재해 감소에 미치는 영향을 자동차 제조업을 중심으로 분석하고자 한다. ISO 22301은 2012년 처음으로 HLS (High Level Structure)작성되었으며 이를 통하여 조직의 비즈니스에 대하여 비즈니스 연속성을 수립하여 조직에서 발생할 수 있는 비즈니스 중단에 대비하고 있다. 또한 중대재해는 「산업안전보건법」상 산업재해 중 사망자가 1명 이상 발생하거나, 6개월 이상 치료가 필요한 부상자가 2명 이상 발생하거나, 동일한 유해요인으로 직업성 질병자가 1년에 3명 이상 발생한 경우를 말한다(법제처, 2021).

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.791-794
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• 2007

우리나라가 급속도로 고령화 사회로 진입하여 감에 따라 의료비 등 국민적 부담이 크게 증가하고 있는 추세에 있다. 본 논문에서는 노인들의 삶의 질을 제고하고, 국가적으로는 노인의료비 부담을 경감시킬 수 있는 노인케어 유비쿼터스 시스템 u-SCS(Ubiquitous Senior Care System)에 대하여 연구하였다. 본 u-SCS 시스템은 조도 센서에서 감지한 조도값의 차이를 분석하여 실내의 노인이 불을 끄고 켜고 한 정보를 파악한다. 이러한 점등 및 소등 시간에 대한 분석은 노인의 수면 시간 등 일상적인 노인 행동을 인지할 수 있는 정보이므로, 이를 기초로 노인들이 겪을 수 있는 건강상 문제나 일상 생활의 불편함을 해소하는데 중요한 기초 정보로 활용할 수 있다.

• Journal of Korea Technology Innovation Society
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• v.16 no.4
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• pp.1163-1186
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• 2013

Big science such as nuclear fusion accelerators shares the characteristic of requiring long-term and massive budget input, human power, and related state-of-the-art technology. Because big science, by nature, thus requires large-scale budgets and facilities yet harbors the possibility of failure, most projects are led by the government. When the actual circumstances are examined, however, such projects are often implemented through the formation of cooperative relations with small and medium businesses (SMBs) possessing outstanding technological capacity. On the other hand, the reality is that the entry of corporations into the business ecosystem of big science is not easy and that even those that have once entered big science likewise fail to find sales outlets for technology that they have developed following the supply of single items, thus leading their technological capacity to lie idle. Consequently, based on an awareness of the problem, the present study seeks to propose strategies for activating the business ecosystem of nuclear fusion and accelerators and to present alternatives regarding which policy tasks must be pursued first by using the analytic hierarchy process (AHP) technique. The present study derived the four policy alternatives of approach, care, expansion, and infrastructures in accordance with the results of empirical analysis to activate the business ecosystem of nuclear fusion and accelerators and analyzed their priority in terms of urgency and effectiveness, the results of which were, in this order: care-approach-expansion-infrastructures. The significance of such research results lie in presenting the policy direction when the government determines which policy task must be pursued first and implements strategies for the activation of the business ecosystem of nuclear fusion and accelerators with limited financial resources in the future.

• Journal of Korean Society of Transportation
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• v.33 no.1
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• pp.14-28
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• 2015

Numerous research has been conducted using internet search data since the mid-2000s. For example, Google Inc. developed a service predicting influenza patterns using the internet search data. The main objective of this study is to prove the hypothesis that highway traffic indices are similar to the internet search patterns. In order to achieve this objective, a model to predict the number of vehicles entering the expressway and space-mean speed was developed and the goodness-of-fit of the model was assessed. The results revealed several findings. First, it was shown that the Google search traffic was a good predictor for the TCS entering traffic volume model at sites with frequent commute trips, and it had a negative correlation with the TCS entering traffic volume. Second, the Naver search traffic was utilized for the TCS entering traffic volume model at sites with numerous recreational trips, and it was positively correlated with the TCS entering traffic volume. Third, it was uncovered that the VDS speed had a negative relationship with the search traffic on the time series diagram. Lastly, it was concluded that the transfer function noise time series model showed the better goodness-of-fit compared to the other time series model. It is expected that "Big Data" from the internet search data can be extensively applied in the transportation field if the sources of search traffic, time difference and aggregation units are explored in the follow-up studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.464-469
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• 2013

After city of Busan has been entered to the aging society in 2000, the city has the highest aging rate among 7 representative cities in 2011. Moreover, while entire population and number of average household are decreasing, over 65 years old of elderly population is rapidly increasing. So, it is possible to enter the super-aged society, where aging rate would be about 20% after 2020. The purpose of this study is that older housing-related analysis is consisted of dong-unit, and this led microscopic analysis has become necessary. Surveys from 2000 through 2010, census aggregate (output area) unit of spatial analysis was conducted. Take advantages of this, aging population and area, soaring area, high-density areas, such as the region of interest were primary extracted, and microscopic location and spatial distribution patterns were analyzed. Upon analysis, aging population is concentrated in the city and adjacent area, the highlands, and 10 years of increasing rate was more than 30 times in certain aggregate. Regarding the characteristic of these areas, the original city center, Busan, especially concentrated and intensified in aging population. Also, 2000 to 2010, the overall distribution pattern of Busan has identified aging population that is increasingly being distributed. This is the result, which is confronted with previous research result. Entering a super aged-society for the future is accordance with migration of social costs and improve the quality of life of elderly. And this could be the basic information to use the spatial dimension for the corresponding.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.57-74
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• 2022

Recently, artificial intelligence parking control systems have increased the recognition rate of vehicle license plates using deep learning, but there is a problem that they cannot determine vehicles with fake license plates. Despite these security problems, several institutions have been using the existing system so far. For example, in an experiment using a counterfeit license plate, there are cases of successful entry into major government agencies. This paper proposes an improved system over the existing artificial intelligence parking control system to prevent vehicles with such fake license plates from entering. The proposed method is to use the degree of matching of the front feature points of the vehicle as a passing criterion using the ORB algorithm that extracts information on feature points characterized by an image, just as the existing system uses the matching of vehicle license plates as a passing criterion. In addition, a procedure for checking whether a vehicle exists inside was included in the proposed system to prevent the entry of the same type of vehicle with a fake license plate. As a result of the experiment, it showed the improved performance in identifying vehicles with fake license plates compared to the existing system. These results confirmed that the methods proposed in this paper could be applied to the existing parking control system while taking the flow of the original artificial intelligence parking control system to prevent vehicles with fake license plates from entering.