• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.189-207
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• 2023

This study focused on the public library evaluation indicators in 2022 to examine the changes and improvement recommendations. In addition, this study analyzed the results of changes in the proportion between the qualitative and quantitative evaluation. Eventually, there was a comparison between the current and previous evaluation outcomes. Furthermore, we examined the effectiveness of the current evaluation groupings of libraries. Then, we tried to discover new quantitative evaluation variables that affected the evaluation score calculation. Finally, we proposed a method for estimating variables through standardization and individualization, as well as a scheme to encourage the voluntary participation of public libraries in the evaluation.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.415-417
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• 2012

본 논문에서는 산업용 CT 영상에서 다중 해상도 기반의 밝기값 정보와 형태 정보를 이용하여 내부 기공결함을 정확하고 빠르게 검출하는 기법을 제안한다. 첫째, 대용량 CT 데이터에서 계산량을 줄이기 위하여 1/2 해상도로 변환 후 관심영역을 자동 산정하고, 링 또는 금속 인공물 등의 잡음을 제거하기 위해 비등방성 확산 필터링을 수행한다. 둘째, 기공 결함 후보군을 검출하기 위해 밝기값 기반의 결함 검출 기법을 제안한다. 셋째, 결함 검출의 민감도를 향상시키기 위해 형태 정보를 이용한 기공 결함 검출 기법을 제안한다. 넷째, 수행시간 가속화를 위하여 다중 해상도 영상 처리 및 Open MP를 적용한다. 제안방법의 평가를 위하여 육안평가와 정확성 평가, 수행시간을 측정하였다. 정확성 평가는 실제 기공 결함과 제안방법 적용 후 결함 간 중복 픽셀 수로 측정하였다. 실험 결과 평균 중복 픽셀 비율은 91%로 측정되었고, 가장 큰 비율은 99%, 가장 작은 비율은 80%로 측정되었다. 다중 해상도 기법 및 Open MP를 적용함으로써 해상도 데이터 수행시간보다 90% 가속화되었다.

• 월간 기계설비
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• s.237
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• pp.55-58
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• 2010

대한설비건설협회 본회는 건설진흥사업 외에 기술 가스진흥사업, 회원봉사 및 조사사업, 정보화 사업, 기획 관리사업, 홍보사업 등 다양한 사업활동을 함으로써 설비건설업계 발전에 견인차 역할을 담당하고 있다. 본지는 지난해 12월호부터 전국 13개 시 도회를 대표하여 설비건설업계의 발전 및 위상강화, 회원사의 권익보호 등을 추진하고 있는 본회에 대하여 소개하고 있다. 이번 호에는 정부위탁업무 "시공능력 평가공시" 및 적격심사 평균비율 발표 등 회원봉사를 최우선으로 하는 회원부를 소개한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.207-210
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• 2001

고수준의 정보 서비스를 제공하기 위해서는 소프트웨어의 고품질화를 추구하여야 한다. 기존에 개발된 품질측정방법들은 모듈 내에 포함되어 있는 요인항목들을 서로 다른 관점에서 개별적으로 측정하고 있어 통합적인 평가방법이 필요하다. 따라서 본 논문에서는 다수의 측정 방법들을 모두 수용할 수 있는 모델을 제안한다. 제안된 모델은 비율척도들을 선택하고, 러프논리를 이용하여 그들의 중요도를 산출한다. 다음으로 모듈의 품질도를 측정하기 위해서 퍼지적분을 이용하여 척도들의 중요도와 측정값을 종합한다.

• The Korean Journal of Financial Management
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• v.16 no.1
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• pp.223-243
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• 1999

포트폴리오의 위험을 통제하거나 감소시키기 위해서 헤저들은 최적헤지비율을 추정하여야 하는데, 최적헤지비율의 추정치는 사용하는 모형에 따라 많은 차이를 보인다. 전통적인 회귀분석모형에 의하여 추정된 최적헤지비율은 시계열자료의 불안정성(nonstationary) 등으로 인하여 잘못될 가능성이 많으며, 잘못 추정된 헤지비율을 그대로 이용할 경우 현물포트폴리오의 시장위험을 최소화시키지 못하고 헤징비용을 증가시키는 결과를 초래한다. 시계열자료의 불안정성으로 말미암아 야기되는 문제점들을 개선할 수 있는 모형으로서 오차 수정모형(Error Correction Model : ECM)이 널리 이용되고 있다. 본 연구는 ECM을 사용하여 추정된 최적헤지비율과 전통적 회귀분석모형을 사용하여 추정한 최적헤지비율을 비교하여 어떤 모형으로 추정한 헤지비율이 더 정확한지를 평가하는데 목적을 두고 있다. 즉, 본 연구는 KOSPI 200 현 선물지수 자료를 대상으로 ECM과 전통적 회귀분석모형에 의한 최적헤지비율을 추정하고 각 모형의 설명력과 예측력을 비교하고자 한다. 실증분석 결과, KOSPI 200 현물지수와 KOSPI 200 선물지수간에는 공적분 관계가 존재하며, ECM과 전통적 회귀분석모형을 이용하여 추정한 최적헤지비율의 크기는 서로 다르며, ECM을 이용할 때 모형의 설명력이 조금 더 높게 나타났으며, 예측력도 ECM이 좀더 우월한 것으로 나타났다.

• Management & Information Systems Review
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• v.35 no.4
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• pp.37-56
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• 2016

This study investigates how adapting of K-IFRS effects NI and OCI affecting of credit rating on changing of the period and variable by using samples of around adapting of K-IFRS. First of all, after adapting of K-IFRS(2011-2013), it was noticeable that how NI affecting after adapting of K-IFRS(2007-2010) had been increased more than that of before affecting of K-IFRS. However, there was not a single difference in affecting OCI on credit rating comparing to the past of adapting of K-IFRS. Second, it seemed like NI affected more after adapting of K-IFRS(2011-2013). The first year of K-IFRS had bigger incremental effect than after adapting of K-IFRS. However, after adapting of K-IFRS, OCI affecting on credit rating had no ncremental effect. Third, it seemed like NI in the first year affected more than OCI on credit rating. After adapting(2012-2013) of K-IFRS, it seemed like NI and OCI do not affect on credit rating. To interpret this, NI and OCI affected the first year of adapting of K-IFRS; therefore, adapting of K-IFRS affected without affecting financial ratio on adapting credit rating. As the time goes on, it can be expected that adapting K-IFRS became stable; therefore, extra incremental effect will not be seen comparing to the early adaption. The implication of this study is when information users use credit rating, they have to concern of affecting of K-IFRS. This is because NI in financial ratio is affecting on credit rating.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.520-526
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• 2016

This study aims to develop a distress prediction model, in order to evaluate the distress prediction power for first-class hotels and to calculate the average financial ratio in the Seoul area by using the financial ratios of hotels in 2015. The sample data was collected from 19 first-class hotels in Seoul and the financial ratios extracted from 14 of these 19 hotels. The results show firstly that the seven financial ratios, viz. the current ratio, total borrowings and bonds payable to total assets, interest coverage ratio to operating income, operating income to sales, net income to stockholders' equity, ratio of cash flows from operating activities to sales and total assets turnover, enable the top-level corporations to be discriminated from the failed corporations and, secondly, by using these seven financial ratios, a discriminant function which classifies the corporations into top-level and failed ones is estimated by linear multiple discriminant analysis. The accuracy of prediction of this discriminant capability turned out to be 87.9%. The accuracy of the estimates obtained by discriminant analysis indicates that the distress prediction model's distress prediction power is 78.95%. According to the analysis results, hotel management groups which administrate low level corporations need to focus on the classification of these seven financial ratios. Furthermore, hotel corporations have very different financial structures and failure prediction indicators from other industries. In accordance with this finding, for the development of credit evaluation systems for such hotel corporations, there is a need for systems to be developed that reflect hotel corporations' financial features.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.291-300
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• 2019

This study investigates the characteristics of evaluation measures for classification models on a binary response variable in order to evaluate their suitability for use. Six measures are considered: Accuracy, Sensitivity, Specificity, Precision, F-measure, and the Heidke's skill score (HSS). Evaluation measures are reformulated using x(ratio of actually 1), y(ratio predicted by 1), z(ratio of both actual and predicted by 1) from the confusion matrix. We suggest two necessary conditions to assess the suitability of the evaluation measures. The first condition is that the measure function is constant for x and y in the case of a random model. The second condition is that the measure function is increasing for z and decreasing for x and y. Since only HSS satisfies the two conditions, that is always appropriate as an evaluation measure for the classification model on the binary response variable, and the other measures should be used within a limited range.

• The Journal of Korean Association of Computer Education
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• v.21 no.4
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• pp.29-37
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• 2018

In this paper, questions from the last three years' appointment examinations for secondary teachers for informatics computer subjects are classified in a way to fit thirteen basic mandatory courses, for which the composition of scores and the number of questions tested were examined. Of these thirteen basic mandatory courses, questions from six basic mandatory courses with high frequency of assessment were analyzed on their score composition based on the evaluation area. In addition, questions testing knowledge in C language were analyzed separately. The results show scores for the curriculum content subjects ranged from 0% to 17.1%, and the ratio of questions tested from curriculum content subjects 0% to 15.8%. In addition, questions from three courses showed a large deviation in scores for each year. Second, the score composition based on the evaluation area showed a large discrepancy, ranging from 0% to 52.0%. Lastly, the questions tested on the C language exhibited high score on average at 33%. Based on the results from the analysis, this study proposed plans to improve ways to evaluate test takers' aptitude.

• Journal of Internet Computing and Services
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• v.3 no.2
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• pp.15-26
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• 2002

Since multimedia data such as video and audio data are displayed within a certain time constraint, their computation and manipulation should be handled under limited condition. Traditional real-time scheduling algorithms could net be directly applicable, because they are not suitable for multimedia scheduling applications which support many clients at the same time. Rate Regulating Proportional Share Scheduling Algorithm is a scheduling algorithm considered the time constraint of the multimedia data. This scheduling algorithm uses a rate regulator which prevents tasks from receiving more resource than its share in a given period. But this algorithm loses fairness, and does not show graceful degradation of performance under overloaded situation, This paper proposes a new modified algorithm. namely Modified Proportional Share Scheduling Algorithm considering the characteristics of multimedia data such as its continuity and time dependency, Proposed scheduling algorithm shows graceful degradation of performance in overloaded situation and the reduction in the number of context switching, Furthermore, a new evaluation method is proposed which can evaluate the flexibility of scheduling algorithm.