• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.86-98
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• 2022

Recently, many studies have been conducted to improve quality by applying machine learning models to semiconductor manufacturing process data. However, in the semiconductor manufacturing process, the ratio of good products is much higher than that of defective products, so the problem of data imbalance is serious in terms of machine learning. In addition, since the number of features of data used in machine learning is very large, it is very important to perform machine learning by extracting only important features from among them to increase accuracy and utilization. This study proposes an anomaly detection methodology that can learn excellently despite data imbalance and high-dimensional characteristics of semiconductor process data. The anomaly detection methodology applies the LIME algorithm after applying the SMOTE method and the RFECV method. The proposed methodology analyzes the classification result of the anomaly classification model, detects the cause of the anomaly, and derives a semiconductor process requiring action. The proposed methodology confirmed applicability and feasibility through application of cases.

• Fashion & Textile Research Journal
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• v.25 no.4
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• pp.490-496
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• 2023

This study investigated the causes and effects of personal colors consulting that are considered as a new lifestyle and revitalized personal relations, and provides an understanding of the effects personal color makeup satisfaction have on personal relations. We provide basic data for future personal color and beauty industry development and image consulting. This study surveyed male and female subjects 20-50 years of age nationwide, using a Google questionnaire. The survey lasted from May 7-26, 2023. A total of 350 questionnaires were distributed, of which 256 (130 males, 126 females) were used for the final analysis, insincere responses having been discarded. SPSS 25.0 was used fand a frequency test, exploratory factor analysis, regression analysis, and Cronbach's ? were conducted for statistical results. In addition, descriptive statistics, correlations analysis and regression analysis were conducted. As a result, as personal color makeup consulting satisfaction levels were high, it had a positive effect on confidence, positiveness, favorability, positive tendencies, and sociability, which indicates that personal relations were improved through personal color makeup. It is suggested that, as this study was confined to makeup and the subjects were mainly men, further studies should supplement this focus area of fashion, and the gender balance of study subjects should be adjusted for intensified results.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.1-8
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• 2024

This study analyzed the impact of Higher-order resources on profit sustainability for domestic companies using a mathematical statistical model. Higher-order resources refer to resources that do not directly affect profits but influence other resources that directly contribute to profits. As a result of analysis using 30 years of actual data from more than 650 domestic companies, the average duration of competitive advantage including high-order resources was found to be about twice as long as the period suggested by the autoregressive model excluding high-order resources. Through this, if companies want to earn more profits over a long period of time than their competitors, they must not only possess resources that are more valuable, rare, difficult to imitate, and non-substitutable compared to their competitors, but also that higher-order resources can contribute to changes in these resources over time. It was confirmed that it must lead the long-term profit difference. High-level resources include strategic planning, mergers and acquisitions (M&A) capabilities, and good forecasting.

• The Optical Journal
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• s.116
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• pp.22-26
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• 2008

최근 복사기 및 프린트를 포함한 사무기기 시장의 화두는 컬러화와 통합문서관리 서비스에 맞춰진다. 2000년대 초 '아날로그에서 디지털(A>D)'로 큰 변화의 시기를 거친 사무기기 시장은 올해를 기점으로 '흑백에서 컬러(B>C)'로 다시 한번 큰 변화의 시기를 맞이할 전망이다. 기존 복사기 업체들은 급증하는 컬러문서 수요를 겨냥해 올해는 컬러복합기 시장 공략을 더욱 강화한다는 전략이다. 또한 기존 복사기 업체들은 그동안 고수해온 비즈니스 모델에서 탈피해 통합문서관리 컨설팅서비스 및 보안기능 제공, 출판 및 인쇄산업 진출 등 새로운 성장 동력에도 주력하는 모습니다.

• The Optical Journal
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• s.132
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• pp.22-26
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• 2011

일본의 광산업 동향을 보면 기본적으로 알렉트로닉스 전체와 거의 유사한 상황에 있는 것을 알 수 있다. 일본 광산업의 생산금액은 과거 20년간 2.5조엔에서 8조엔까지 확대됐지만 IT버블을 경계로 성장률은 둔화하고 있다. 본 고는 Optronics 2011년 1월호에 게재된 (주)노무라종합연구소 정보 통신컨설팅부 상급컨설턴트 후지나미 케이씨가 기고한 내용으로서 일본외 광 일렉트로닉스산업을 에워싸는 현상의 주요한 조류와 이후 전망에 관해서 소개하고 있다.

• Cement
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• s.194
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• pp.32-37
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• 2012

한일시멘트는 1961년 설립되어 국가기간산업 건설과 국가경제발전을 이끌고 있는 종합 시멘트회사로 지난 1983년 기업의 이윤을 사회에 환원하는 '우덕재단'을 출범시켜 사회에 공헌해 나가고 있다. 이 회사는 시멘트 품질 혁신과 관련된 수많은 기록들과 나눔 경영에 대한 아낌없는 노력을 인정받아 한국능률협회컨설팅(KMAC)에서 선정하는 '2012년 한국에서 가장 존경받는 기업'으로 9년 연속 1위를 차지하기도 했다. 한일시멘트가 탄탄한 기업역량을 펼쳐나가기까지 대전광역시 대덕구 대화동 대전 산업단지에 위치한 한일시멘트 테크니컬센터의 역할이 컸다는 평가다. 이는 테크니컬센터가 반세기 이상 동안 국내 시멘트의 품질향상에 혁혁한 공헌을 해왔기 때문이다. 지금부터 한일시멘트의 핵심 R&D조직인 테크니컬센터를 소개한다.

• Korean Architects
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• no.4 s.444
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• pp.60-65
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• 2006

제주시청은 창업ㆍ도약ㆍ성장의 선순환 정착으로 지역내 기업들이 스타기업으로 성공할 수 있도록 마케팅, 법률, 회계, 컨설팅 등 One-Stop 종합서비스 지원 인프라를 구축하고, 지식산업이 제주도의 신성장동력 산업으로 자리잡을 수 있는 거점 시설을 건립하기 위하여 현상설계경기를 실시하였다. 당전작으로는 '(주)제인종합건축사사무소'의 안을, 우수작으로는 '(주)오름건축사사무소 + 가우건축사사무소'의 안을, 가작으로는 '건축사사무소 선건축'의 안을 각각 선정, 발표하였다.

• Journal of Industrial Convergence
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• v.14 no.2
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• pp.25-31
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• 2016

As the importance of big data begins to be recognized, the government, local self-governing bodies, and corporations have taken interest in big data. However, unlike the past, there is various typical and atypical data, and some fields make use of big data planning and analytical technique, which is opening a way to capture new opportunities. The present study analyzes an improvement plan for bicycle roads by using the public data of Seoul and proposes its implications.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.81-88
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• 2022

This study is to investigate the perception of domestic appraisers about the possibility of using artificial intelligence (AI) and related risks from the use of AI in the appraisal industry. We conducted a mobile survey of evaluators from February 10 to 18, 2022. We collected survey data from 193 respondents. Frequency analysis and multiple response analysis were performed for basic analysis. When AI is used in the appraisal industry, factor analysis was used to analyze various types of risks. Although appraisers have a positive perception of AI introduction in the appraisal industry, they considered collateral, consulting, and taxation, mainly in areas where AI is likely to be used and replaced, mainly negative effects related to job losses and job replacement. They were more aware of the alternative risks caused by AI in the field of human labor. I was very aware of responsibilities, privacy and security, and the risk of technical errors. However, fairness, transparency, and reliability risks were generally perceived as low risk issues. Existing studies have mainly studied analysis methods that apply AI to mass evaluation models, but this study focused on the use and risk of AI. Understanding industry experts' perceptions of AI utilization will help minimize potential risks when AI is introduced on a large scale.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.13-26
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• 2021

The purpose of this study is to understand the relationship between the subfactors(economic benefits, customized benefits, psychological benefits) of tourism SNS benefits and the intention to reuse tourism SNS values, and propose measures to revitalize the tourism industry through marketing strategies that can continuously provide differentiated services from customers through long-term relationship formation, increase profits, maintain and secure customers. This study conducted an empirical analysis of 326 people aged 19 or older. The results of the study are as follows. First, in the relationship between tourism SNS benefits(Economic benefits, customized benefits, psychological benefits) and tourism SNS values(economic value, functional value, emotional value), it was confirmed that tourism SNS benefits have a positive impact on all of the tourism SNS values. Second, in the relationship between the sub-factors of tourism SNS values and the intention of reuse, it was analyzed that all sub-factors of SNS values have a positive effect on the intention of reuse. Based on result of this study, developing contents such as mobility apps to strengthen long-term relationships with customers to maximize the value of tourism SNS and tourism SNS will improve the reuse of tourism service.