• 디지털산업정보학회논문지
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• 제19권1호
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• pp.91-107
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• 2023

With the recent expansion of the commerce ecosystem, a large number of user evaluations have been produced. Accordingly, attempts to create business insights using user evaluation data have been actively made. However, since user evaluation can change after the user experiences the product, it is difficult to say that the analysis based only on reviews immediately after purchase fully reflects the user's evaluation of the product. Moreover, studies conducted so far on user evaluation have overlooked the fact that the length of time a user has used a product can affect the user's product evaluation. Therefore, in this study, we build a model that predicts the direction of change in the user's rating after use from the user's rating and reviews immediately after purchase. In particular, the proposed model reflects the product's period of use in predicting the change direction of the star rating. However, since the posterior information on the duration of product use cannot be used as input in the inference process, we propose a structure that utilizes information about the product's period of use using an auxiliary classifier. As a result of an experiment using 599,889 user evaluation data collected from the shopping platform 'N' company, we confirmed that the proposed model performed better than the existing model in terms of accuracy.

• 수산경영론집
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• 제42권3호
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• pp.15-29
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• 2011

The Fish Stock Rebuilding Plan (FSRP) is evaluated as one of the most effective fisheries policies domestically and internationally. FSRP is a comprehensive fisheries policy, including target stock size, rebuilding period, application of management measures, and participation of fishermen. The performance outcomes of FSRPs have been partially evaluated for recommendation for stock rebuilding in Korea, while they are fully evaluated in other countries that have implemented FSRPs. The performance evaluation system for FSRP is very needed to enhance its effectiveness as one of fisheries policies. That is, the system where problems can be reconsidered, achieving targets can be evaluated, and the plan can be modified should be implemented. This study classified the performance evaluation of FSRP into the economic evaluation as a quantitative analysis and the policy evaluation as a qualitative analysis. In the economic evaluation, the sustainability of fishery resources, the stability of fishing business, the efficiency of fishery production, and efficient utilization of fishery resources can be considered. As analytical methods for the economic evaluation, the bioeconomic model, efficiency estimation model, the dynamic MEY model can be utilized. The qualitative evaluation is to assess the qualitative performances of FSRPs, including interviews and surveys with fishermen and fisheries experts. In the survey, many different items can be included by evaluation factors which are related to policies such as timeliness, transparency, effectiveness, etc. In addition, the study suggested the performance evaluation system and procedures for objective and efficient evaluation of FSRPs. In order to practically apply the developed performance evaluation model, the pilot project is needed. That is, from the application of pilot project, detailed research methods, effective procedures, and evaluation factors can be investigated.

• 한국식품위생안전성학회지
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• 제26권2호
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• pp.120-124
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• 2011

훈제연어의 L. monocytogenes에 대한 식중독 안전관리 방안 마련 및 위해평가 수행 등을 위하여 성장예측모텔을 개발하였다. 미생물 성장예측모델 개발 방법은 대상 식품 및 환경 조건에 따라 다양하며 통계적으로 유용한 모델을 사용하여야 하기에 본 연구에서는 미생물 성장예측모델 개발에 널리 사용되어 그 적용성이 검토된 Gompertz model과 Polynomial model equation을 이용하여 훈제연어의 L. monocytogenes 최대성장속도(SGR) 및 유도기(LT)에 관한 예측모텔을 개발하였다. 개발된 모델의 적합성 평가를 위해 $B_f$와 $A_f$ factor를 산출하였고 최대성장속도(SGR)의 경우 0.98, 1.06, 유도기(LT)의 경우 1.60, 1.63으로 나타나 유도기의 적합성이 최대성장속도에 비하여 떨어지는 것으로 확인되었다. 본 연구에서 개발된 훈제연어에서의 L. monocytogenes 성장속도에 관한 모텔은, 수산업, 특히 훈제연어 생산, 가공, 보관 및 판매업에 다양한 방면으로 활용 가능할 것으로 판단되며, 더욱 정확한 예측모텔 개발을 위해서는 다양한 변수에 따른 미생물의 성장패턴 변화 등에 관한 연구가 추가적으로 시행되어야 할 것으로 생각되어 진다.

• International Journal of Safety
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• 제11권1호
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• pp.26-32
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• 2012

This paper introduces a feasibility evaluation method for prognosis systems based on an empirical model in nuclear power plants. By exploiting the dynamical signature characterized by abnormal phenomena, the prognosis technique can be applied to detect the plant abnormal states prior to an unexpected plant trip. Early $operator^{\circ}{\emptyset}s$ awareness can extend available time for operation action; therefore, unexpected plant trip and time-consuming maintenance can be reduced. For the practical application in nuclear power plant, it is important not only to enhance the advantages of prognosis systems, but also to quantify the negative impact in prognosis, e.g., uncertainty. In order to apply these prognosis systems to real nuclear power plants, it is necessary to conduct a feasibility evaluation; the evaluation consists of 4 steps (: the development of an evaluation method, the development of selection criteria for the abnormal state, acquisition and signal processing, and an evaluation experiment). In this paper, we introduce the feasibility evaluation method and propose further study points for applying prognosis systems from KHNP's experiences in testing some prognosis technologies available in the market.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제11권2호
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• pp.192-207
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• 2005

정보 보호에 대한 평가가 중요시 되고 있으며 보안 평가 방법론이 제안되었다. 이러한 보안 평가 방법론들은 크게 제품, 프로세스, 통제 중심의 세 가지 관점으로 분류될 수 있다본 논문에서는 제품, 프로세스, 통제 각기 하나의 관점에서 보안 평가할 때에 발생하는 문제점과 위협의 실례를 파악한다. 이 문제점을 해결하기 위하여 제품, 프로세스, 통제의 세 가지 관점을 통합한 보안평가 모델을 제안한다.

• 한국IT서비스학회지
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• 제19권1호
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• pp.71-87
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• 2020

As diverse online information services are introduced and the use of them are increasing, the importance of the quality control over the online information services is also increasing. Therefore, studies are being attempted to derive quality evaluation models for online information services, but these showed many limitations. In order to overcome the limitations of the previous studies and create more appropriate quality evaluation model, this study analyzed 408 data collected through the interviews with the users of Korea national online information services (NDSL, NTIS) using content analysis and the coding method of ground theory. Through the analysis, we identified the quality evaluation model (13 elements, 6 dimensions) of online information services and the description and insights of each elements. And the priorities of the most significant element(amount of information) and other key elements(such as the usefulness of the information, the diversity of the field, etc.) were figured out through the frequency analysis. Through these inductive methods based on the responses of users, the quality control model could be derived, which is different from the previous researches. This study is the first study which derived the quality evaluation model of online information service through the inductive way based on 408 interview responses from users. Therefore, the results of this study will be helpful to the post researchers who conduct studies on the quality of online information service, etc. Moreover, the results of this study are expected to provide references of frame for decision-making of working-level officials who have to manage the quality of online information services.

• 정보처리학회논문지D
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• 제16D권3호
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• pp.395-406
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• 2009

현재 정부 각 부처는 “정보시스템의 효율적 도입 및 운영 등에 관한 법률”에 의해 EA를 도입하여 운용하고 있으나 이의 평가 체계 및 지표는 제대로 갖춰져 있지 않다. 특히 EA의 성과평가를 위한 모델이 없을 뿐만 아니라 측정 할 수 있는 방법도 미흡하다. 본 연구에서는 EA성과평가를 위해 국내 범정부 성과참조모델과 미 연방 성과참조모델을 기반으로 8개의 평가 영역 및 17개의 평가지표를 도출하였다. 또한, 미 OMB 및 국내 범정부 EA성숙도 모델을 기반으로 8개의 평가 영역 및 10개의 평가지표를 도출하여, 이를 기반으로 EA 성과평가를 위한 업무, 고객, 프로세스, 인적자본 및 기술의 5개 영역으로 구성된 성과평가 모델을 제안하였다. 제안한 모델의 검증을 위해 3개 기관에 적용하여 각 기관의 EA 성과를 평가하였고, 평가 결과를 검증하기 위해 범정부 EA성숙도 모델의 성과평가 영역과도 비교 평가하였다. 또한, 제안한 성과평가모델의 측정지표를 기존의 EA성숙도 모델 및 성과참조모델과도 비교 분석하였다. 이러한 비교 분석 결과를 바탕으로 제안한 성과평가모델을 검증하였다.

• 한국항공운항학회지
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• 제22권4호
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• pp.8-14
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• 2014

The purpose of this research was to develop evaluation conformity to operate courses based on CIPP evaluation model dedicated to approval of training organizations. In order to achieve the goal, the researchers scrutinized related documents and precedent studies, initiated the draft for evaluation conformity to operate courses and secured validity for evaluation conformity initiated through Delphi Method survey. To secure validity for evaluation conformity, the researchers conducted two Delphi Method surveys of an expert panel of 22 professionals from relevant fields including officials from the Ministry of Land, Infrastructure and Transport, researchers from Korea Transportation Safety Authority, instructors from approved training organizations and officials from industries. Through the surveys, the researchers determined 4 evaluation areas, 13 evaluation items and 52 evaluation indexes as the evaluation conformity to operate courses for aircraft maintenance mechanics. On top of that, the researchers established evaluation system in the courses for aviation professionals (aircraft maintenance mechanics), and suggested a follow-up studies regarding managing the quality of education.

• 한국건축시공학회지
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• 제6권3호
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• pp.67-73
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• 2006

This study aims to evaluate the feasibility of remodeling business by predicting the future price of apartment house after remodeling using Hedonic Price Model. The data concerning such 9 independent variables as location, unit size, unit plan, landscape, parking, the number of elapsed years after completion, number of units, mechanical performance, interior from 25 regions in Seoul metropolitan city were collected and evaluated by established evaluation criteria. The coefficients affecting the price of apartment unit were made by Ivay of linear multi-regression and put into Hedonic Price Model. The feasibility evaluation model for apartment was made and verified by data of remodelled apartment. The predicted results using suggested evaluation model coincide with actual apartment market situations.

• 인터넷정보학회논문지
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• 제9권5호
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• pp.109-116
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• 2008

컴퓨터와 인터넷 환경의 급속한 변화는 방대한 데이터와 다양한 품질의 데이터를 생산해내고 있다. 이러한 환경의 변화는 데이터의 품질에 따른 수준 평가를 요구한다. 이는 데이터 품질이 기업과 조직에 미치는 영향이 크기 때문이다. 따라서 본 연구는 데이터 품질 기준에 따른 품질 평가 모델을 수학적 모델로 제시하고, 이를 기반으로 데이터의 품질을 분석하고 데이터의 품질을 유지 보완하기 위한 분석 모형을 제안하고자한다.