• 한국산학기술학회논문지
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• 제18권2호
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• pp.158-167
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• 2017

본 논문에서는 국방 R&D기술 평가에 적용 가능한 기술등급평가 방법론을 제시하였다. 국방 R&D기술 등급평가를 위해서 첫째, 다중회귀분석을 활용한 기술료수입 예측 모델을 설계하여 기술수익지수가 도출되도록 하였다. 모델을 통해 예측된 기술료수입이 커질수록 기술수익지수도 커진다. 둘째, 계층분석방법을 이용하여 기술에 대한 전문가 의견을 다각적으로 반영하는 기술력평가지수가 산출되도록 하였다. 기술력평가지수 평가항목 개발을 위해 델파이기법을 사용하여 전문가 의견을 종합하였고, 요인분석 및 AHP를 사용하여 평가항목을 구조화하였다. 마지막으로 기술수익지수와 기술력평가지수의 가중평균의 크기에 따라 적절한 기술 등급이 도출되도록 하였다. 각 지수별 가중치는 전문가 의견을 종합하여 설정하였다. 본 연구를 통해 개발된 국방 R&D기술 등급평가 방법론은 국방기술을 등급으로 평가가능하게 한 최초의 방법론이다. 다른 분야와 마찬가지로 국방 분야에서도 기술의 연구개발 초기단계에는 불확실성이 크기 때문에 화폐단위로 표시되는 가치평가결과의 정확성이 매우 떨어진다. 따라서 특히 실무적인 관점에서 볼 때 R&D기술 부문에서는 기술등급평가 기법이 긴요할 것으로 판단된다. 본 방법론을 실무에 적용하게 되면, 국방 연구개발 관련 정책담당자에게 과학적이고 정량적인 기술의 가치 판단 기준을 제공하여 효율적인 R&D예산 배분에 기여할 수 있으며, 국방 R&D분야의 기술이전 활성화 업무에도 활용할 수 있을 것이라 판단된다.

• 한국IT서비스학회지
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• 제16권4호
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• pp.161-176
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• 2017

Recently, most of the users can easily get access to a variety of information sources about companies, products, and services through online channels. Therefore, the online user evaluations are becoming the most powerful tool to generate word of mouth. The user's evaluation is provided in two forms, quantitative rating and review text. The rating is then divided into an overall rating and a detailed rating according to various evaluation criteria. However, since it is a burden for the reviewer to complete all required ratings for each evaluation criteria, so most of the sites requested only mandatory inputs for overall rating and optional inputs for other evaluation criteria. In fact, many users input only the ratings for some of the evaluation criteria and the percentage of missed ratings for each criteria is about 40%. As these missed ratings are the missing values in each criteria, the simple average calculation by ignoring the average 40% of the missed ratings can sufficiently distort the actual phenomenon. Therefore, in this study, we propose a methodology to predict the rating for the missed values of each criteria by analyzing user's evaluation information included the overall rating and text review for each criteria. The experiments were conducted on 207,968 evaluations collected from the actual hotel evaluation site. As a result, it was confirmed that the prediction accuracy of the detailed criteria ratings by the proposed methodology was much higher than the existing average-based method.

• KIEAE Journal
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• 제10권3호
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• pp.81-88
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• 2010

Current trend on sustainable tall building shows significant efforts on the integrated design approaches for the performative design to achieve efficient building for the energy, structural and materials. The design of tall buildings should take into consideration of environmental impact and economic benefits from sustainable approaches to ensure low energy consumption and CO2 emissions. Designing sustainable tall building require concerns and comprehensive understanding of sustainable building technology, sustainable rating system and supporting incentive policy. The research has been conducted on available rating system and the incentive policy for sustainable building design methodology through cases studies for this study. In the paper, author tried to emphasis the role of the incentive policy for the sustainable building and provides survey of the impact on rating, adaptable use of sustainable building technology on the current practice of tall building design.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.510-514
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• 2004

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation methodology based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of original CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. Several experiments on real e-commerce data show that the proposed methodology provides higher quality recommendations and better performance than original collaborative filtering methodology.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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• pp.257-262
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• 2001

As computer-related technologies have been developed, legacy design systems have not been appropriate for new computing environment. Therefore, it is necessary that most of them are either modified or newly developed. However, this requires quite much amount of cost and time. This paper presents a method of extending legacy design system without modification using XML and XSLT. In order to apply the developed method, a good example of legacy design systems, AGMA gear rating system has been extended so as to be suitable for the distributed computing environment. An XML document for AGMA gear rating process is defined. It is transformed to the form of the input document of AGMA gear rating system by XSLT processor according to the transformation rules defined in the AGMA gear rating XSLT document. After that, AGMA gear rating system reads this input document and generates an output document in the server. These operations are automatically executed by the external legacy system controller without user interactions. Using these operations, AGMA gear rating web service has been developed based on SOAP and WSDL to provide the functions of legacy AGMA gear rating system through the distributed network. Any system or user can implement AGMA gear rating process independently to the platform type, without making it for oneself, by simply referring the AGMA gear rating web service via Internet.

• 농촌계획
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• 제13권2호
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• pp.27-38
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• 2007

This study, a sub-one of comprehensive research work titled under "A Evaluation System of Amenity / Disamenity Elements in Rural Villages", tried to propose a rational methodology for development of rating tabulation for evaluation of amenity / disamenity elements in rural villages. The system developed in the study has the formalized rating grades between 2 and 5 for convenience/simplification of analysis work. For each evaluation element in the lowest order of the system, 5 types of rating technique were arranged, which were based on statistical analysis using mean and standard deviation values, its existence or not, relative significance of its holding volume and quality, synthesized weight scale of its quality and quantity, and the others. And, standardized 4-steps procedure for rating tabulation was proposed. Finally, through case studies of 4 sample villages representing the flat-plain, upland, seashore and periurban rural areas, the applicability of this rating tabulation system was verified.

• 한국산학기술학회논문지
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• 제22권3호
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• pp.671-678
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• 2021

2020 국방기술통제목록 연구는 기술보호 등급분류 설정 시 전문가 의견을 수렴하여 조사항목 설정, 등급분류 기준 설정 방법으로 정성적 기준에 의존했다. 이를 보완하여 기술보호 등급분류 설정의 정량적 기준을 제시하고자 본 연구를 수행했고, 본 논문에서는 통계기법을 적용한 기술보호 등급분류 설정 방법론을 제시하였다. 연구절차는 3단계로 진행하여 조사항목 설정, 기술보호 등급분류의 당위성을 입증하고자 하였다. 첫째, 판단지표를 선정하기 위해 2020 국방기술통제목록 작성 시 조사되었던 6개 조사항목, 즉 요소기술의 상대기술수준, 체계구현관점중요도, 국가안보관점중요도, 난이도, 기술이전기피, 파급효과에 대한 통계적 분석, 신뢰도 검증을 수행하여 조사항목을 설정하였다. 둘째, 선정된 조사항목을 AHP기법으로 계층화하여 전문가 설문조사를 수행하고 의견을 점수화했다. 도출된 조사항목의 가중치를 이용하여 요소기술의 점수를 산출했다. 마지막으로 정규분포 산포도와 사분위수 산출 방식, 카플란마이어 추정치 비율을 연계하여 3단계 등급설정을 하고, 723개 요소기술 점수의 카플란마이어 추정치값에 적용하여 기술보호등급을 3단계 기준점수를 제시하였다. 본 연구를 통해 설정된 등급설정표를 이용하여 일관성 있는 객관적인 기준을 제시할 수 있을 것이라 판단된다.

• 산경연구논집
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• 제7권2호
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• pp.13-20
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• 2016

Purpose - The purpose of this research is to discover whether the presence of the product average rating introduces biases or change the way people perceive information. We posit that review's overall rating has a predisposition effect on consumers' perception towards detailed review information. Research design, data, and methodology - To test these hypotheses, we conducted an empirical study on a real-world setting of online shopping platform. We choose the Amazon website to test our results. The data we use were collected by the Stanford Network Analysis Project1 (McAuley et al., 2013). Results - With a dataset containing reviews of seven product categories from amazon.com., our findings could possess more generalizability as they are produced on the typical and influential online market. Second, as our research provides alternative views of consumers' shopping behavior, it is better to test our hypotheses by data from the same source. Conclusions - Our study reveals the impact of the collective rating presence on consumers' diagnosticity perception and sheds light upon some of the conflictive results in prior studies. Our research generates implications to both theories and business practices, and suggests future directions for the research question.

• 산경연구논집
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• 제13권1호
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• pp.23-32
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• 2022

Purpose: This study used ESG grade, but defined AESG, adjusted to the size of a company and examines whether it can be used as an investment strategy. Research design, data and methodology: The analysis sample in this study is a company that has given an ESG rating among companies listed on the Korea Stock Exchange. We examine the results through portfolio analysis and Fama-macbeth regression analysis. Results: As result of examining the long-only performance and the long-short performance by constructing quintile portfolios, it was observed that a significant positive return was shown. It was observed that there was an alpha that could not be explained in asset pricing models. Also, AESG had a return prediction effect in the result of a Fama-Macbeth regression that controlled corporate characteristic variables in individual stocks. Next, we confirmed AESG's usage through various portfolio composition. In the portfolio optimization, the Risk Efficient method was the most superior in terms of sharpe ratio and the construct multi-factor model with Value, Momentum and Low Vol showed statistically significant performance improvement. Conclusions: The results of this study suggest that it can be helpful in ESG investment to reflect the ESG rating of relatively small companies more through the scale adjustment of the ESG rating (i.e.AESG).

• Fibers and Polymers
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• 제6권2호
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• pp.162-168
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• 2005

A methodology for the objective evaluation of water repellency is studied using image analysis of the sprayed pattern on woven fabrics according to a standard spray test (AATCC Test Method 22-2001). The wet area ratio obtained from the spray standard test ranking is found to be exponentially related with its water repellency rating. Mean filtering is used to remove the effect of weave texture and the transmitted light through interyarn spaces. The ring frame of the instrument and wet region are recognized using Otsu thresholding technique. And Hough transform and outline operation are used to obtain the size and position of the ring frame. The objective assessment of the water repellency using image processing can reduce unnecessary confusion in the subjective determination of the water repellency.