• 제목/요약/키워드: Check-in Data Analysis

검색결과 1,033건 처리시간 0.031초

클린룸 제조공정에서 공정분할평가법을 이용한 입자오염제어 (Particle Contamination Control in the Cleanroom Production Line using Partition Check Method)

  • 이현철;박정일;이성훈;노광철;오명도
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회B
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    • pp.2338-2343
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    • 2007
  • The practical studies on the method of particle contamination control for yield enhancement in the cleanroom were carried out. The method of the contamination control was proposed, which are composed of data collection, data analysis, improvement action, verification, and implement control. The partition check method for data collection and data analysis was used in the cellular phone module production lines. And this method was evaluated by the variation of yield loss between before and after improvement action. In case that the partition check method was applied, the critical process step was selected and yield loss reduction through improvement actions was observed. From these results, it is concluded that the partition check method is effective solution for particle contamination control in the cleanroom production lines.

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역지밸브의 고장 원인 분석 (Analysis of Failure Causes for Check Valves)

  • 송석윤;유성연
    • 유체기계공업학회:학술대회논문집
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    • 유체기계공업학회 2005년도 연구개발 발표회 논문집
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    • pp.607-612
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    • 2005
  • Check valves playa vital role in the operation and protection of nuclear power plants. Check valves failure in nuclear power plants often lead to a plant transient or trip. An overview of the failure history of check valves needs to identify key area where resources can be best applied to further improve their reliability, and provide cost effective means for failure reduction. The analysis of historical failure data gives information on the populations of various types of check valves, the systems they are installed in, failure modes, effects, methods of detection, and the mechanisms of the failures. The results presented are based on information derived from operating records, nuclear industry reports, manufacturer supplied information. A majority of check valve failures are caused by improper application. Failure modes are identified for swing and lift check valves. Failures involving improper seating and valve disc stuck comprised the largest percentage of failures.

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잭나이프 및 붓스트랩 방법을 이용한 임상자료의 회귀계수 타당성 확인 (Check for regression coefficient using jackknife and bootstrap methods in clinical data)

  • 손기철;신임희
    • Journal of the Korean Data and Information Science Society
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    • 제23권4호
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    • pp.643-648
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    • 2012
  • 여러 임상자료를 이용하여 반응변수와 설명변수간의 관계를 규명하는 분석이 많이 이루어지고 있다. 이를 위해서 회귀분석이 흔히 사용되고 있으며, 이를 통해 설명변수가 반응변수를 얼마나 설명하는지 또한 모형이 얼마나 자료에 적합한지에 대해 분석하고 있다. 그러나 임상자료로 분석된 회귀모형에 대한 타당성 확인은 대부분 분석된 회귀모형이 얼마나 자료를 설명하는가를 나타내는 결정계수만을 살펴보는 것에 그치고 있다. 결정계수 이외의 다른 방법으로도 분석된 회귀모형의 회귀계수에 대한 타당성을 확인할 필요가 있다. 따라서 본 논문에서는 잭나이프 회귀분석과 붓스트랩 회귀분석을 이용하여 임상자료로 분석한 회귀모형의 회귀계수에 대한 타당성을 확인하는 방법을 소개하고자 한다.

한국 20·30대의 건강검진 수검률 관련요인: 국민건강영양조사 제8기 2차년도(2020) 자료를 중심으로 (Related Factors for Health Check-up Attendance among Korean Adults in their 20s and 30s: Based on the 2020 KNHANES Data)

  • 김영란
    • 산업융합연구
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    • 제22권2호
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    • pp.135-141
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    • 2024
  • 본 연구는 한국 20~30대 건강검진 수검자들의 특성을 분석하고 수검에 영향을 미치는 요인을 분석하여 수검률을 향상시키기 위해 시도하였다. 연구대상 및 방법은 국민건강영양조사 제8기 2차년도(2020년) 국민건강영양조사를 활용하여 20세에서 30세 사이의 대한민국 거주 남녀 1,453명을 대상으로 하였으며, 건강검진 수진 여부를 인구사회학적요인, 건강행태요인, 정신건강요인, 의료이용요인으로 나누어 단순 로지스틱 회귀분석과 다중 로지스틱 회귀분석을 실시하였다. 분석결과 한국 20~30대 건강검진 수검에 영향을 미치는 요인은 교육수준, 결혼여부, 건강보험종류, 정규직 여부, 주관적 건강상태로 나타났다. 본 연구 결과는 20-30대 건강검진 수검율 향상의 기초자료로 활용할 수 있다.

계통운영시스템 계통해석 프로그램 정확도 향상에 관한 연구 (A Study on the Enhancement of Accuracy of Network Analysis Applications in Energy Management Systems)

  • 조윤성
    • 조명전기설비학회논문지
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    • 제29권12호
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    • pp.88-96
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    • 2015
  • This paper describes a new method for enhancing the accuracy of network analysis applications in energy management systems. Topology processing, state estimation, power flow analysis, and contingency analysis play a key factor in the stable and reliable operation of power systems. In this respect, the aim of topology processing is to provide the electrical buses and the electrical islands with the actual state of the power system as input data. The results of topology processing is used to input of other applications. New method, which includes the topology error analysis based on inconsistency check, coherency check, bus mismatch check, and outaged device check is proposed to enhance the accuracy of network analysis. The proposed methodology is conducted by energy management systems and the Korean power systems have been utilized for the test systems.

부유분진(PM10) 측정기 상태 코드 분석을 통한 자동 품질검사 알고리즘 개선 및 평가 (Improvement and Evaluation of Automatic Quality Check Algorithm for Particulate Matter (PM10) by Analysis of Instrument Status Code)

  • 김미경;박영산;류상범;조정훈
    • 대기
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    • 제29권4호
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    • pp.501-509
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    • 2019
  • Asian Dust is a meteorological phenomenon that sand particles are raised from the arid and semi-arid regions-Taklamakan Desert, Gobi Desert and Inner Mongolia in China-and transported by westerlies and deposited on the surface. Asian dust results in a negative effect on human health as well as environmental, social and economic aspects. For monitoring of Asian Dust, Korea Meteorological Administration operates 29 stations using a continuous ambient particulate monitor. Kim et al. (2016) developed an automatic quality check (AQC) algorithm for objective and systematic quality check of observed PM10 concentration and evaluated AQC with results of a manual quality check (MQC). The results showed the AQC algorithm could detect abnormal observations efficiently but it also presented a large number of false alarms which result from valid error check. To complement the deficiency of AQC and to develop an AQC system which can be applied in real-time, AQC has been modulated. Based on the analysis of instrument status codes, valid error check process was revised and 6 status codes were further considered as normal. Also, time continuity check and spike check were modified so that posterior data was not referred at inspection time. Two-year observed PM10 concentration data and corresponding MQC results were used to evaluate the modulated AQC compared to the original AQC algorithm. The results showed a false alarm ratio decreased from 0.44 to 0.09 and the accuracy and the probability of detection were conserved well in spite of the exclusion of posterior data at inspection time.

클린룸 제조공정에서 수율개선을 위한 입자오염제어 방법 (Method of Particle Contamination Control for Yield Enhancement in the Cleanroom)

  • 노광철;이현철;김대영;오명도
    • 대한기계학회논문집B
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    • 제31권6호
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    • pp.522-530
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    • 2007
  • The practical studies on the method of particle contamination control for yield enhancement in the cleanroom were carried out. The method of the contamination control was proposed, which are composed of data collection, data analysis, improvement action, verification, and implement control. The partition check method and the composition analysis for data collection and data analysis were respectively used in the main board and the cellular phone module production lines. And these methods were evaluated by the variation of yield loss between before and after improvement action. In case that the partition check method was applied, the critical process step was selected and yield loss reduction through improvement actions was observed. While in case that the composition analysis was applied, the critical sources were selected and yield loss reduction through improvement actions was also investigated. From these results, it is concluded that the partition check and the composition analysis are effective solutions for particle contamination control in the cleanroom production lines.

장비점검 일지의 비정형 데이터분석을 통한 고장 대응 효율화 사례 연구 (Unstructured Data Analysis using Equipment Check Ledger: A Case Study in Telecom Domain)

  • 주연진;김유신;정승렬
    • 인터넷정보학회논문지
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    • 제21권1호
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    • pp.127-135
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    • 2020
  • 비정형 데이터의 수집, 분석 그리고 활용에 대한 필요성이 대두되고 있지만 여전히 비정형 데이터를 효과적으로 활용하지 못하고 있는 실정이다. 본 연구에서는 국내 유수 이동통신 기업의 통신 시설장비 점검 시스템에 기록된 비정형데이터를 분석하여 장비고장 대응과 예방에 적극 활용할 수 있는 기반을 만들고자 하였고, 약 220만 건의 작업일지 데이터를 텍스트 마이닝을 통해 구조화/정형화 하였다. 이를 위해 장비 고장과 관련된 4가지 분석 프레임, 고장인지, 고장원인, 고장대상, 조치결과를 구성하였고 분석 결과로는 크게 3가지의 효율화 방안과 관련한 인사이트를 얻을 수 있었다. 첫 번째로는 신속한 조치를 통한 시간 단축을 도모하고, 두 번째로는 고장장비 Unit 수요를 예측하고, 마지막으로 현장 출동의 최소화를 지원할 수 있을 것으로 기대되었다. 결론적으로, 본 사례연구는 통신시설 장비 고장 대응을 위해 데이터 분석 대상을 정형 데이터뿐만 아니라 장비일지라는 비정형 빅데이터로도 범위를 확장했으며, 이를 분석에 활용하기 위해 처음으로 텍스트 마이닝을 시도를 했다는데 의의를 가진다. 또한 N사는 정형 데이터 뿐 만아니라 년 80만 건씩 축적되던 비정형 데이터의 활용 가치를 확인할 수 있던 기회를 가졌으며, 향후 비정형 데이터의 활용 방안에 대한 발전방향 그리고 추후의 정형 데이터와의 연계 분석 방안 등에 대한 가이드를 확보할 수 있었다.

빅데이터 분석을 활용한 공항 혼잡도 분석 - 김포공항 사례를 중심으로 - (Airport Congestion Analysis with Big Data Analysis - The Case of Gimpo Airport -)

  • 김진아;김진기
    • 한국항공운항학회지
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    • 제28권2호
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    • pp.36-46
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    • 2020
  • This study is designed to help customers use more comfortable airports by predicting congestion and congestion times by identifying the traffic routes of passengers in the airport building by day of the week and time by using Wi-Fi sensor collectors, one of the IoT technologies. Analysis of passenger traffic analysis data showed that the most congested time zones were from noon. to 2p.m. for all facilities, which could be used to improve major facilities. Regression analysis of factors affecting congestion found that self-check-in reduces congestion and check-in counters increases congestion. These findings will provide important implications for operations, including congestion management at airports.

호텔 객실의 에너지 효율화를 위한 대기전력 분석 - 체크아웃 상태를 중심으로 - (Analysis of standby power for enhancing the energy efficiency of a hotel guestroom - Focusing on check-out status -)

  • 이준수;구충완
    • 도시과학
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    • 제11권1호
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    • pp.15-20
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    • 2022
  • The issue of hotel energy use is growing more significant as the hotel industry expands. It is important to take into account the electrical installation and space-specific features in a room unit in order to comprehend the energy consumption of a hotel guestroom. In light of this, this study aimed to analyze standby power for enhancing the energy efficiency of a hotel guestroom during check-out status. This study was conducted in three steps: (i) data collection; (ii) analysis of energy consumption patterns; and (iii) analysis of energy efficiency improvement plan. The main findings of this study can be summarized as follows. First, 32.24% of energy was used in fan coil unit) during check-out status. Second, a hotel guestroom had a 4.30% energy saving potential, based on energy consumption patterns during check-out status. This study can contribute to support hotel management to operate guestrooms differently by helping them identify patterns in energy use and realize potential savings.