• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.590-594
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• 2000

One of the most important factors for a leather quality inspection is its surface condition. So far a leather quality level has been discriminated by human's eye inspection, But, these kinds of method needs a lot of labor time and cause decision mistakes from an optical illusion. It means leather quality inspection is very subjective and there is no consistency. In this study, we present computer vision based a leather quality inspection system using an Artificial intelligence. Suggested system ran give standard spec for a leather quality and take human inspection duty place.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.216-219
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• 2004

Construction clients are the key player in that they initiate construction projects and are in a position to influence the efficiency and productivity of the projects. Construction projects by nature require team-working so clients's leadership is the crux of project success. The objective of this paper is to suggest characteristics of construction clients' leadership in terms of best practice based on the analysis of project success cases. Four key elements of construction clients' leadership are identified and best practice from the case studies were related to the elements.

• The Korean Journal of Financial Studies
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• v.2 no.2
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• pp.367-382
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• 1995

본 연구에서는 시장평균환율제가 시행된 시점인 1990년 3월 2일부터 1991년 12윌 31일까지의 국내 원/달러 외환시장을 대상으로 선도환가격의 미래 예측기능, 즉 미래의 현물환율에 대한_불편추정치로서의 선도환율의 역할을 실증적으로 검증하였다. 국내 시중은행에서 거래한 달러 대비 원화의 현물환율과 1개월 만기의 선도환율 자료를 사용한 실증분석결과에 의하면, 현물환율은 선도환이 예측한 방향과는 반대의 방향으로 움직이거나 예측한 수준에 크게 벗어나고 있다. 그러나, 외환시장에 큰 영향을 준 것으로 보여지는 동 서독 통합과 중동전쟁을 기준으로 분석대상기간을 두개의 하부기간으로 나누어 다시 추정한 결과에 의하면, 선도환가격이 미래 현물환율에 대한 불편추정치라는 가설을 기각하지 못하고 있다. 이러한 결과는 환율변화에 대한 확율분포가 시간경과에 따라 크게 변하고 있으며, 실증분석에서는 이러한 분포의 시간종속성을 반드시 고려하여야 한다는 것을 시사하고 있다. 또한, 다른 외국통화에 대한 실증분석에서는 나타나지 않는 결과로서, 이는 우리나라 외환시장의 특성을 반영하고 있는 것으로 해석된다. 시장평균환율제가 변동폭을 제한하고 있으며 분석대상 기간 동안은 환율변동이 비교적 안정적이기 때문에, 선도환가격의 결정도 비교적 안정적으로 이루어 질 수 있었다. 이와 같은 요인들에 의하여, 현물환율의 변동이 매우 심한 다른 외국통화에 비하여, 원화 환율의 경우에는 선도환가격은 만기시의 현물환율에 근접하는 경향을 보이게 된 것으로 보여진다.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.3 s.37
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• pp.31-37
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• 2006

The existing tunnel survey method contains many problems of taking much measuring time, increasing construction expenses, and delaying a term of construction. Therefore the site survey system for an improvement efficiency is developed. This system will be able to solve the ewer factor and the problem of curtailment of time and expenditure. In order to solve these problems it connected a measurement equipment and a notebook computer, and developed the system which simultaneously with tunnel measurement it will be able to decide locations and errors from site at real-time. The development or the tunnel survey system minimize the error occurrence as measuring tunnel, and the probability of more or less excavation. Therefore this site survey system leads to the effect of the improvement execution quality of work, the cost reduction and the construction term reduction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.3B
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• pp.248-253
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• 2011

Collision avoidance algorithm of vessels have been studied to avoid collision and grounding of a vessel due to human error. In this paper, We propose a collision avoidance algorithm using bayesian estimation theory for safety sailing and reduced risk of collision accident. We calculate collision risk for efficient collision avoidance using bayesian algorithm and determined the safest and most effective collision risk is predicted by using re-planned with re-evaluated collision risk in the future(t=t'). Others ship position is assumed to be informed from AIS. Experimental results show that we estimate the safest and most effective collision risk.

• Korean Journal of Construction Engineering and Management
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• v.11 no.5
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• pp.65-74
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• 2010

The design with construction knowledge and experience can eliminate inefficiency in the process of construction and improve productivity in all phase of construction project. To utilize constructability knowledge most effectively in design phase, the information must be made available to the design team at the proper point in time. Current methods for effective utilization of constructability knowledge have focused on the structuralization of constructability knowledge such as checklist, which lack the consideration of the proper point in time. However, constructability knowledge which is used at the inapposite point in time consequently leads to unnecessary rework. To minimize this inefficiency and improve productivity, project manager needs to consider the design process and know what constructability knowledge is required for specific design activities. This paper therefore presents a design process management using Dependency Structure Matrix (DSM) that focus on information flows between design activities and constructability knowledge. We expect that the results of this paper will support that design process management become comprehensive management related to every phase of construction project beyond design review or inspection in design phase, and be used as a basis of the integration of design and construction.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.537-547
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• 2017

This study attempted to determine differences between the perceived empowerment level and job satisfaction depending on hairdressers' demographic characteristics and analyze the effects of their empowerment on job satisfaction. For this, a total of 310 hairdressers in Gwangju-Jeonnam and Seoul-Gyeonggi-do were chosen through convenience sampling, and then a questionnaire survey was conducted. The valid 277 copies were used for final analysis. For data analysis, descriptive statistics, factor analysis, reliability analysis, t-test, ANOVA, Duncan's test, and multiple regression analysis were conducted using SPSS 15.0. The study results found the following: First, in terms of the subordinate factors of empowerment, the following four factors were found: meaningfulness, self-determination, competence, and impact. Second, depending on demographic characteristics (e.g., age, career, type of beauty salon, job title, punch-in time, monthly pay), a statistically significant difference was found between empowerment and job satisfaction (p<.01). Third, hairdressers' perceived empowerment level had a positive impact on job satisfaction (p<.01). In terms of the empowerment on job satisfaction by sub-factor, 'self-determination' was largest, followed by 'meaningfulness' and 'competence.' Therefore, beauty salon owners need to manage their business more efficiently by converging cosmetology and business management by expanding empowerment among hairdressers properly after recognizing the importance of hairdresser empowerment.

• Korean journal of communication and information
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• v.32
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• pp.113-146
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• 2006

This study explored how media and interpersonal communication affected voters in Busan mayoral by-election, focusing on the mutual relations among media use and attentive use of political campaign, interpersonal communication, and voting participation. Also, comparative analysis between image factor and the factor of political party influencing the decision of a candidate were examined. Additionally, it was analysed differential media effects on candidates' image. According to the results, the local media use and attentive use of political campaign had the influence on the increase of interpersonal communication about the election. Voters who had much interpersonal discussion with others participated more than voters who had less interpersonal discussion. Media use did not directly affect the participation of voting, but indirectly contributed to participation of voting through interpersonal discussion. The assumption of differential media effects on candidates image was partly proved. There were statistically significant differences in the factor of competence of candidates' image among three experimental groups (attentive use of TV discussion program, Internet web sites of two candidates, and printing materials of political advertisement). Furthermore, with three main vote variables, issues, candidates image, party identification, the results of comparative analysis between image factor and the factor of political party influencing the choice of a candidate suggested that a sense of oneness with a party was highly related to the choice of the candidates of the party, however, candidates' image was not related to the decision of a candidate. Political party had more impact on for whom to vote than candidates' image in this study.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.323-334
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• 2015

he current VaR model based on the J.P. Morgan's RiskMetrics structurally can not reflect the future economic situation. In this study, we propose a One-factor model resulting from the Wiener stochastic process decomposed into a systematic risk factor and an idiosyncratic risk factor. Therefore, we are able to perform a preemptive risk management by means of reflecting the predicted common risk factors in the model. Stocks in the portfolio are satisfied with the independence to each other because the common factors are fixed by the predicted value. Therefore, we can easily determine the investment in each stock to minimize the variance of the portfolio. In addition, the portfolio VaR is decomposed into the sum of the individual VaR. So we can effectively implement the constitution of the portfolio to meet the target maximum losses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.741-743
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• 2015

오늘날 BI(Business Intelligence)시스템 다차원 데이터를 다루는 많은 방법들이 제안되어 TB 이상의 데이터를 다룰 수 있다. 하지만 IT 전문가 및 IT에 대한 투자여력이 충분하지 않은 중소 제조 기업들은 발 맞춰가기 힘들다. 또한 생산관리시스템(MES)을 미 도입한 기업이 대다수이고, 존재하는 현장데이터의 대부분도 수기데이터 또는 Excel 데이터로 보관 되어 있어, 수작업에 의한 데이터 분석과 의사결정을 수행한다. 이로 인해, 불량 요인 파악이나 이상 현상 파악이 불분명하기 때문에 데이터 분석에 어려움을 겪는다. 이에 본 연구에서는 중소제조기업의 경쟁력 강화를 위하여 제조 기업현장에서 사용되는 데이터를 자동으로 수집하여 정제 및 처리하여 저장이 가능하도록 하는 빅 데이터 분석 시스템 모델을 개발하였다. 이 분석 시스템 모델은 ERP, MIS 등에 존재하는 데이터들이 각 시스템의 DB 기능을 활용하여 데이터를 추출하고 정제하여 수집하는 ETL(Extract Transform Loading)과정을 통한다. 현장에서 비정형으로 기록되고 있는 정보들(ex. Excel)은 ODE(Office Data Excavation)모듈을 통해 문서의 패턴을 자동으로 인식하고 정형화된 정보로서 추출, 정제되어 수집된다. 저장된 데이터는 오픈소스 데이터 시각화 라이브러리인 D3.js를 이용하여 다양한 chart들을 통한 강력한 시각효과를 제공함으로써, 정보간의 연관 관계 및 다차원 분석의 기반을 마련하여 의사결정체계를 효과적으로 지원한다. 또한, 높은 가격에 형성되어 있는 빅데이터 솔루션을 대신해 오픈소스 Spago BI를 이용하여 경제적인 빅 데이터 솔루션을 제공한다. 본 연구의 기대효과로는 첫째, 현장 데이터 중심의 효과적인 의사결정 기반을 마련할 수 있다. 둘째, 통합 데이터 기반의 연관/다차원 분석으로 경영 효율성이 향상된다. 마지막으로, 중소 제조기업 환경에 적합한 분석 시스템을 구축함으로써 경쟁력과 생산력을 강화한다.