• Journal of the Korean Home Economics Association
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• v.34 no.3
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• pp.283-290
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• 1996

The objectives of this study was to research and analyze the actual conditions of using air-conditioning, which will help to understand the households' demand on a air-conditioning. The target of this study was the households in the seoul area. The data was collected by considering housing type, size & heating systems. On the basis of these findings, are the result of the demand for air-conditioning. 1)The possibility of purchasing this air-conditioning was higher among the households with ￦1,000,000 monthly income. Especially, the households with ￦2,000,000 to ￦2,500,000 monthly income were the main class of the demand. 2)The possibility of purchasing it was higher from husband's age over 30. 3)Both apartment and detached house dwellers were high in purchasing it. 4)The bigger the house was, the higher the possibility of purchasing it. Also, the function and the condition of air-cleaning function, which was concerning most on the economic point of view.

• Journal of Powder Materials
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• v.8 no.1
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• pp.61-69
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• 2001

Spark-Plasma Sintering(SPS) is one of the new sintering methods which takes advantages both inconventional pressure sintering and electric current sintering. It is known that SPS is very effective for the densification of hard-to-sinter materials like refractory metals, intermetallic compounds, glass and ceramics without grain growth. However, a clear explanation for sintering mechanism and an experimental evidence for the formation of weak plasma during SPS are not given yet. In this study, fundamental study on sintering behavior and mechanism of SPS was investiged. For this study, various spherical Fe powders were prepared such as as-received, as-reduced, and as-oxidized and then sintered by SPS facility. In order to confirm the surface cleaning effect during SPS neck region and fracture surface of sintered body was observed and analyzed by SEM/EPMA. Densification behavior was analyzed from the data of deflection along the pressure axis. Some specimens were additionally produced by Hot Pressing and the results were compared with those of SPS.

• KEPCO Journal on Electric Power and Energy
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• v.7 no.2
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• pp.263-268
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• 2021

This paper statistically analyzes the time required for each failure cause and describes a diagnostic method for 159 reports of failure analysis of MV cables that occurred in the distribution system of KEPCO over the past 18 years. In addition, the manufacturer's failure rate compared to 100C-km was calculated using 381 cases of MV cable deterioration failure between 2008 and 2020. It is hoped that this paper will help those in charge of maintaining underground facilities at the business office to use the failure rate to prioritize facility diagnosis.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.58-65
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• 2023

Bankruptcy is a significant risk for start-up companies, but with the help of cutting-edge artificial intelligence technology, we can now predict bankruptcy with detailed explanations. In this paper, we implemented the Category Boosting algorithm following data cleaning and editing using OpenRefine. We further explained our model using the Shapash library, incorporating domain knowledge. By leveraging the 5C's credit domain knowledge, financial analysts in banks or investors can utilize the detailed results provided by our model to enhance their decision-making processes, even without extensive knowledge about AI. This empowers investors to identify potential bankruptcy risks in their business models, enabling them to make necessary improvements or reconsider their ventures before proceeding. As a result, our model serves as a "glass-box" model, allowing end-users to understand which specific financial indicators contribute to the prediction of bankruptcy. This transparency enhances trust and provides valuable insights for decision-makers in mitigating bankruptcy risks.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.578-581
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• 2020

제품을 추천하는 기능은 사용자의 콘텐츠 또는 제품 소비량에 직결되기에 다양한 인터넷 플랫폼에서 많은 관심을 받고 있다. 이러한 제품 추천 시스템의 성능은 다양한 머신러닝 알고리즘과 딥러닝의 발전에 의해 성능을 비약적으로 개선되어왔다. 하지만 여느 딥러닝과 머신러닝 알고리즘과 마찬가지로 추천 시스템들의 성능은 빅데이터의 품질에 따라 매우 민감한 영향을 받는다. 본 논문에서는 모바일 배달 플랫폼에서 사용자들의 리뷰 데이터들을 통해 딥러닝과 빅데이터를 사용하여 음식을 추천하는 방법을 제안한다. 또한 사용자들의 리뷰 데이터들을 정제하여 데이터의 품질을 높이는 과정을 추가하여 그 결과가 성능에 얼마만큼 영향을 미치는 지를 실험을 통하여 분석한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1044-1046
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• 2022

'22년 중대재해처벌법과 항만안전특별법이 본격 시행되었다. 이에 대비하기 위하여 본 논문에서는 위험물 컨테이너에서 발생하는 안전사고를 사전에 방지하는 지능형 컨테이너 및 청소 로봇을 제안한다. 지능형 컨테이너 및 청소 로봇은 다음과 같은 기능을 수행한다. 첫째, 유해물질 감지 센서와 산소 센서 등을 통해 컨테이너 상태를 실시간으로 관리한다. 둘째, 유해물질 유출 및 산소 농도가 부족한 경우 위험 컨테이너로 변경 관리한다. 셋째, 컨테이너 내부 유해물질 청소를 위해 로봇을 호출하고 지능형 청소 로봇은 방제약품과 흡착포를 통해 컨테이너 내부를 청소한다. 넷째, 위험 컨테이너는 자동문 개폐관리 기능을 통해 유해물질 청소 완료 전까지 문을 폐쇄하여 안전사고를 방지한다. 본 논문은 제시한 기능을 통해 위험물 컨테이너에서 발생하는 작업자 질식사 등의 사고를 감소시키는 것을 목표로 한다.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.9_10
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• pp.1364-1372
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• 2007

The purpose of this research is to provide the fundamental data about knitwear laundering and care. A questionnaire was designed and survey data was colleted from male and female consumers. Descriptive statistics, Chi-squire and t-test were conducted for statistical analysis. Results indicated that female consumers were more susceptible with 'handle with care' or 'fragile label' than male consumers. Females preferred hand washing whereas males preferred dry cleaning. Marital status of respondents did not affect awareness of care labels. Consumers considered more about stability of product shape than stain removal. Although most respondents followed proper ways to knitwear care and laundering, they felt that technical knowledge or deep understanding about washing is needed. In order to increase consumer satisfaction with knitwear products, the importance of care labels should be acknowledged.

• The Journal of Information Systems
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• v.28 no.4
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• pp.155-174
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• 2019

Purpose Social interest in financial statement notes has recently increased. However, contrary to the keen interest in financial statement notes, there is no morphological analyzer for accounting terms, which is why researchers are having considerable difficulty in carrying out research. In this study, we build a morphological analyzer for accounting related text mining techniques. This morphological analyzer can handle accounting terms like financial statements and we expect it to serve as a springboard for growth in the text mining research field. Design/methodology/approach In this study, we build customized korean morphological analyzer to extract proper accounting terms. First, we collect Company's Financial Statement notes, financial information data published by KPFIS(Korea Public Finance Information Service), K-IFRS accounting terms data. Second, we cleaning and tokeninzing and removing stopwords. Third, we customize morphological analyzer using n-gram methodology. Findings Existing morphological analyzer cannot extract accounting terms because it split accounting terms to many nouns. In this study, the new customized morphological analyzer can detect more appropriate accounting terms comparing to the existing morphological analyzer. We found that accounting words that were not detected by existing morphological analyzers were detected in new customized morphological analyzers.

• Culinary science and hospitality research
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• v.12 no.3 s.30
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• pp.219-236
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• 2006

The purpose of this study is to examine the elements that satisfy customers in order for restaurants to survive in competition, and to examine effective positioning strategies. Since the designation of Haeundae in Busan as a Special Tourism Zone, diverse food service markets have been established and various marketing activities are anticipated accordingly. The results of this study can be summarized as follows: First, after the examination of the competitive relationships among restaurants, based on the image similarity data, it was found that Bennigan's, Outback Steakhouse, and T.G.I. Friday's are in close proximity with one another. Hence the fierce competition between them. Secondly, as a result of PC-MDS PROFIT analysis, a positioning map was drawn with image similarity measurement of the restaurants and scores 9 evaluation categories for each brand name as follows: food taste, food price, service, access convenience, hygienic condition and cleaning, atmosphere, various events, circumferential environment, and public image. Thirdly, as a result of MDPREFMAP analysis based on the customer preference, data from the restaurant brand names, an ideal location of a restaurant preferred by customers and the position of restaurant brand names were indicated at the same time.

• The Journal of Korean Physical Therapy
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• v.22 no.2
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• pp.31-38
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• 2010

Purpose: We investigated the relationship of depression and the ability to engage in activities of daily living in the elderly. Methods: Subjects (n = 182) were 60 years or older and who attended the Senior College of Gimhae Senior Welfare Center. We collected data via a questionnaire, through a Self- recording method and through individual interviews. We collected data on personal and general characteristics, level of depression, and activities of daily living. Results: Among all subjects, 51.1% reported having depressionMild depression was reported by 29.7% (54 subjects), moderate depression by 13.2% (24 subjects), and severe depression by 8.2% (15 subjects). Activities of daily living, including walking, climbing stairs, standing from a chair and sitting on and using toilets, using a telephone, bathing, shopping, cleaning house, and managing money were significantly lower in elderly subjects who were depressed (p<0.05). The greater the level of depression, the less able they were to engage in activities of daily living. Conclusion: These findings may help us achieve early detection of depression in the elderly and provide mediated arbitration so that they can have better health condition and greater ability to engage in activities of daily living.