• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1409-1410
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• 2011

미국, 영국, 호주 등의 나라들은 최소의 비용으로 도로시설물의 기능을 유지 또는 개선하기 위한 방안으로 자산관리(asset management) 체계를 기반으로 한 정보시스템을 개발하고 있다. 한국은 아직까지 자산관리정보시스템에 대한 연구가 초보적인 수준에 머물러 있다. 본 연구에는 사용자관점의 서비스 수준(level of service)과 경제성 분석기법 간의 관계를 토대로 도로시설물을 유지관리하기 위한 자산관리정보시스템을 개발하기 위한 방안을 제시하였다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.16 no.6
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• pp.615-625
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• 2014

As many parts of Korea are mountainous, many tunnels have been constructed to be in step with rapid economic development since 1970's. However, the interest on maintenance of tunnels is far less than the awareness of need for tunnels. As the tunnel maintenance system is the responsive maintenance system which responds to the problems found during the inspection, it will be very difficult to respond to each problem with the limited budget and manpower of the government agencies when the number of aged tunnels rapidly increase in the future. As such, this study presents the need for the LCCA (Life Cycle Cost Analysis) based tunnel asset management system to transform the tunnel maintenance to a preventive management system in a strategic and long-term viewpoint and proposes the framework for development direction. It observed the asset management implementation cases of social infrastructure in other countries and analyzed the need for asset management technique to manage the tunnels in Korea. Moreover, it applied the LCCA model, which is the economic and engineering quantitative decision making technique, for tunnel asset management to present the concrete direction for development of an asset management model and designed the R&D framework to systemize it.

• The Journal of the Korea Contents Association
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• v.8 no.2
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• pp.150-163
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• 2008

It is said that customers buy not products but brands embedded in their mind, so that they are used as a key tool of strong marketing strategy. The present paper is a study on service brand equity, on which much research has not been conducted. The purpose of the present study is to propose the way to manage service brand equity which is essential to gaining competitive superiority by examining the effect of the factors of marketing communication on it. The researcher presented a research model by inquiring into existing researches on marketing communication and service brand equity and set up a research hypothesis. Internet service was chosen as the subject of the study. The reason for this is that it is the most intangible and there is no difference in price and quality, so that it is actively being marketed. The present positive study verified the relation between the factors of marketing communication such as advertising, public relations, sales promotion, and word-of-mouth advertising and brand recognition, brand image, and brand loyalty. The results of the positive study are as follows. Advertising, sales promotion and word-of-mouth advertising had an effect on brand recognition. Public relations, sales promotion and word-of-mouth advertising had an effect on brand image. Brand image and brand recognition affected brand loyalty.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.233-239
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• 2001

최근 대부분의 회사들은 업무를 수행하는데 필요한 지식과 노하우를 공유하고 재사용하기 위하여 지적 자산 관리의 중요성을 인식하고 있다. 특히 고도로 지식 집약적인 업종이라 할 수 있는 IT컨설팅 회사에서는 지적 자산의 관리가 다른 어떤 회사에서보다 큰 중요성을 가지게 된다. 컨설팅 회사에 있어서 검증이 완료된 지적 자산의 공유 및 지능적이면서도 신속한 검색은 컨설팅 서비스의 품질과 고객 만족에 직결되는 중요한 요소이다. 따라서 대부분의 컨설팅 회사들은 자사의 지식 자산을 관리하기 위하여 많은 노력을 기울이고 있다. 본 논문의 목적은 IT 컨설팅 회사예서 관리되는 다양한 형태의 지적 자산들을 중앙 관리하여 설친 고객 사이트에 흩어져 프로젝트를 수행하는 컨설턴트들이 공유할 수 있도록 함으로써 컨설팅 서비스의 생산성과 품질들 높이고자 하는데 있다 이를 위하여 건설팅 회사에서 관리되는 모든 지적 자산의 재고를 조사하여 모델링하고 이를 쉽게 저장하고 검색할 수 있는 시스템 아키텍처를 제안한다. 제안된 아키텍처를 NT 기반에서 Index server를 이용하여 시스템으로 구현하였다 (KMSCR: A Knowledge Management System for managing Consulting Resources). KMSCR에서는 컨설턴트가 찾고자 하는 검색어를 입력하면 다양한 포맷의 (.doc, .ppt, xls, .rtf, .txt, .html 등과 같은) 결과물을 관련성이 높은 순서대로 출력해 줌으로써 컨설팅 리소스를 효과적으로 재사용할 수 있도록 도와 준다. 또한 검색 시에는 미리 등록된 키워드 뿐 아니라 본문 내의 텍스트 검색까지 가능하게 함으로써 컨설팅 리소스에 대한 보다 효과적이고 효율적인 검색을 가능하게 한다.간을 성능 평가 인자로 하여 수행하였다. 논문에서 제한된 방법을 적용한 개선된 RICH-DP을 모의 실험을 통하여 분석한 결과 기존의 제한된 RICH-DP는 실시간 서비스에 대한 처리율이 낮아지며 서비스 시간이 보장되지 못했다. 따라서 실시간 서비스에 대한 새로운 제안된 기법을 제안하고 성능 평가한 결과 기존의 RICH-DP보다 성능이 향상됨을 확인 할 수 있었다.(actual world)에서 가상 관성 세계(possible inertia would)로 변화시켜서, 완수동사의 종결점(ending point)을 현실세계에서 가상의 미래 세계로 움직이는 역할을 한다. 결과적으로, IMP는 완수동사의 닫힌 완료 관점을 현실세계에서는 열린 미완료 관점으로 변환시키되, 가상 관성 세계에서는 그대로 닫힌 관점으로 유지 시키는 효과를 가진다. 한국어와 영어의 관점 변환 구문의 차이는 각 언어의 지속부사구의 어휘 목록의 전제(presupposition)의 차이로 설명된다. 본 논문은 영어의 지속부사구는 논항의 하위간격This paper will describe the application based on this approach developed by the authors in the FLEX EXPRIT IV n$^{\circ}$EP29158 in the Work-package "Knowledge Extraction & Data mining"where the information captured from digital newspapers is extracted and reused in tourist information context.terpolation performance of CNN was relatively

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.63-72
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• 2009

This study aims at establishing the decision-making support system for the highway assets, long-term performance presumption and evaluation of asset value, which are appropriate for Korea, and proposing the methods of the optimal engineering method and the timing decision for the preventive maintenance through the project evaluation, the optimization method and life-cycle analysis related to the highways. In order to supplement the current problem of the near-sighted budget management system, which chooses the maintenance place of the highway, depending on the level of the budget with fixed amount, the long-term required budget prediction system and the economy principle were introduced, so that the pavement agency can predict the level of the required budget, and it was aimed to develop the pavement asset evaluation system to maintain the performance of the highway with the minimum of the cost. In the use of the highway pavement asset evaluation system, to maintain the appropriate level of the pavement evaluation index, when the budget was efficiently established in the reference of the required maintenance budget for the chosen section of the highway in the year concerned, it was possible to analyze the most rational pavement maintenance budget. With this result, it is estimated to prevent the unnecessary waste of budget in advance, and through the development of the decision-making system for the long-term performance presumption and the asset value estimation of the pavement, it is expected to able to analyze the previous evaluation of the project related to the highway and the feasibility of introduction.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.111-118
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• 2019

For the security of a vast amount of information, it has been started to diagnose the site as a way of operating and managing the information owned by a company holding assets, to establish indexes to check the actual status and all kinds of standards to obtain security, and also to classify the information assets based on that. This has been extended to many different areas including policies to operate and manage information assets, services, the management of owned devices as physical assets, and also the management of logical assets for application software and platforms. Some of these information assets are already being operated in reality as new technology in new areas, for example, Internet of Things. Of course, a variety of electronic devices like Smart Home are being used in ordinary families, and unlike in the past, these devices generate a series of information life cycles such as accumulating and processing information. Moreover, as even distribution is now being realized, we are facing a task to secure the stability of information assets and also information that assets are holding. The purpose of this study is to suggest and apply standard security policy by moduling methods for information assets owned by companies and even families and obtain the enhancement of confidentiality as well as integrity.

• 한국IT서비스학회:학술대회논문집
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• 2002.06a
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• pp.14-17
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• 2002

1997년의 외환위기를 계기로 국내 금융산업에 본격 적용된 구조조정은 자산부채인수 (P&A, Purchase & Assum ptions), 합병인수 (M&A， Merger & Acquisition), 금융지주회사라는 방법을 통하여 시행되었다. 자산부채인수방식은 구조조정 초기 5개은행, 금융지주회사 방식은 정부주도하의 우리금융지주회사와 순수민간에 의한 신한금융지주회사, 합병인수방식은 최근의 우량은행간 합병으로 대형화 및 겸업화를 도모한 국민 ${\cdot}$ 주택은행이 있다. 이러한 과정에 필수적으로 수반되는 가치평가의 항목에 대하여 살펴보고자 한다.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.347-354
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• 2003

현업무연속성 관점에서 IDEF 접근방법에 의해서 주요 업무 프로세스를 파악하고, 관련 정보자산을 Skandia 모형으로 식별 한 후에, OCTAVE 접근방법에 의해서 위협을 단계적으로 분석하기 위해서, Nessus Version 1.4.2 를 이용하여 도서관 정보시스템 중에서 가장 중요한 자산인 서버에 대해서 취약성을 평가했다. 기존 OCTAVE 접근방법에 IDEF 접근방법과 Skandia 모형을 동시에 이용하는 수정된 OCTAVE 접근방법을 이용한 취약성 평가 사례를 제시했다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.400-402
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• 2003

ITA 구축을 위한 접근방식 중 Bottom-up방식의 접근인 IT자산관리 측면에서의 ITA 구축에 관한 실제 사례를 알아보고, 또한 IT자산관리 측면에서의 ITA 접근시 추진 고려사항으로 IT자원관리 프레임워크 선 정립, 데이터 현행화 방안 마련, 활용분야 사전 도출 등에 대해 알아보도록 하자.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.127-146
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• 2017

Services using artificial intelligence have begun to emerge in daily life. Artificial intelligence is applied to products in consumer electronics and communications such as artificial intelligence refrigerators and speakers. In the financial sector, using Kensho's artificial intelligence technology, the process of the stock trading system in Goldman Sachs was improved. For example, two stock traders could handle the work of 600 stock traders and the analytical work for 15 people for 4weeks could be processed in 5 minutes. Especially, big data analysis through machine learning among artificial intelligence fields is actively applied throughout the financial industry. The stock market analysis and investment modeling through machine learning theory are also actively studied. The limits of linearity problem existing in financial time series studies are overcome by using machine learning theory such as artificial intelligence prediction model. The study of quantitative financial data based on the past stock market-related numerical data is widely performed using artificial intelligence to forecast future movements of stock price or indices. Various other studies have been conducted to predict the future direction of the market or the stock price of companies by learning based on a large amount of text data such as various news and comments related to the stock market. Investing on commodity asset, one of alternative assets, is usually used for enhancing the stability and safety of traditional stock and bond asset portfolio. There are relatively few researches on the investment model about commodity asset than mainstream assets like equity and bond. Recently machine learning techniques are widely applied on financial world, especially on stock and bond investment model and it makes better trading model on this field and makes the change on the whole financial area. In this study we made investment model using Support Vector Machine among the machine learning models. There are some researches on commodity asset focusing on the price prediction of the specific commodity but it is hard to find the researches about investment model of commodity as asset allocation using machine learning model. We propose a method of forecasting four major commodity indices, portfolio made of commodity futures, and individual commodity futures, using SVM model. The four major commodity indices are Goldman Sachs Commodity Index(GSCI), Dow Jones UBS Commodity Index(DJUI), Thomson Reuters/Core Commodity CRB Index(TRCI), and Rogers International Commodity Index(RI). We selected each two individual futures among three sectors as energy, agriculture, and metals that are actively traded on CME market and have enough liquidity. They are Crude Oil, Natural Gas, Corn, Wheat, Gold and Silver Futures. We made the equally weighted portfolio with six commodity futures for comparing with other commodity indices. We set the 19 macroeconomic indicators including stock market indices, exports & imports trade data, labor market data, and composite leading indicators as the input data of the model because commodity asset is very closely related with the macroeconomic activities. They are 14 US economic indicators, two Chinese economic indicators and two Korean economic indicators. Data period is from January 1990 to May 2017. We set the former 195 monthly data as training data and the latter 125 monthly data as test data. In this study, we verified that the performance of the equally weighted commodity futures portfolio rebalanced by the SVM model is better than that of other commodity indices. The prediction accuracy of the model for the commodity indices does not exceed 50% regardless of the SVM kernel function. On the other hand, the prediction accuracy of equally weighted commodity futures portfolio is 53%. The prediction accuracy of the individual commodity futures model is better than that of commodity indices model especially in agriculture and metal sectors. The individual commodity futures portfolio excluding the energy sector has outperformed the three sectors covered by individual commodity futures portfolio. In order to verify the validity of the model, it is judged that the analysis results should be similar despite variations in data period. So we also examined the odd numbered year data as training data and the even numbered year data as test data and we confirmed that the analysis results are similar. As a result, when we allocate commodity assets to traditional portfolio composed of stock, bond, and cash, we can get more effective investment performance not by investing commodity indices but by investing commodity futures. Especially we can get better performance by rebalanced commodity futures portfolio designed by SVM model.