• 제목/요약/키워드: Cause classification

검색결과 698건 처리시간 0.03초

공장건축물의 친환경 건축계획을 위한 분류체계 및 계획요소개발에 관한 연구 (A Study on the Development of Category and Items for Environmentally Friendly Architectural Planning of Factory)

  • 류수훈
    • KIEAE Journal
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    • 제9권4호
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    • pp.3-10
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    • 2009
  • It is not an overstatement to say the factory are the number one cause in creating environmental load. However, only a few studies have been done upto this date on environmentally friendly factory. Thus, This study is to present the characteristics of environmentally friendly factory. A survey of current literatures and cases show the characteristics of environmentally friendly factories and buildings and environment assessment method and plan. To better measure the environmentally friendly qualities as written in literature across the globe, classification system was constructed. The classification system was made and important factors were found based on the precedent paper on environmentally friendly building plan and environment assessment method at building and cases and abroad in the literature review. The classification used 4 different sectors : Land & Transportation, Architectural Planning Technique, Environment & Equipment, Energy & Material. Within these 4 sectors 33 discrete factors are applied to the factory according to literature and case review and specialist advice.

소음지도 제작시 차량 분류방법이 소음도 예측 결과에 미치는 영향 연구 (Effects of Vehicle Classification Methods on Noise Prediction Results of Road Traffic Noise Map)

  • 김지윤;박인선;정우홍;강대준;박상규
    • 한국소음진동공학회논문집
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    • 제22권2호
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    • pp.193-197
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    • 2012
  • Road traffic noise map is effective method to save cost and time for environmental noise assessment. Generally, noise is calculated by using theoretical equation of noise prediction, and the calculated result can be influenced by various input factors. Especially, domestic vehicle classification method for traffic flow and heavy vehicle percentage is different from that of foreign countries. Thus, this can cause effect on the noise prediction results. In this study, noise prediction results by using domestic vehicle classification method are compared with those by foreign methods.

습관성 유산의 원인적 분류 (Etiologic Classification of Recurrent Spontaneous Abortion)

  • 박문일;이기헌;정성로;이재억;문형;김두상
    • Clinical and Experimental Reproductive Medicine
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    • 제18권1호
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    • pp.113-120
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    • 1991
  • Etiologic classification was performed in 155 patients with recurrent spontaneous abortion history. The incidence was 9.3% among 1658 pregnant women at Hanyang university hospital during the same period. In etiologic classification, 37 cases of on-going patients for diagnostic evaluation were excluded. Of the remained 118 patients, the patients with unknown etiology were 32 cases (27.1%), and 86 cases were classified into each etiologies using appropriate diagnostic modalities. Anatomic causes were the largest etiology, which revealed 46.6% (55 among 118 patients). The next etiology was immunologic cause, which revealed 24.6% (29 patients). Of the 86 patients who have at least one cause, 40.7% (35 among 86) have two or more etiologies. Furthermore, six cases (7%) have 3 combined etiologies. The uterine synechia and/or incompetent internal os of the cervix, namaly anatomic causes, revealed highest combination ratio than other etilogies. The popular abortion technique in Korea, D&C, seems to be main factors for these anatmic causes. The combined causes rather than single cause of recurrent spontaneous abortion were unique situation in Korea especially with anatomic etiologies. From this point of view, we think anatomic etiologies should be rule out first in the evaluation of the patients. For this purpose, we believe hysteroscopy would be helpful as a diagnostic work-up and treatment modality in the management of recurrent spontaneous abortion patients in Korea.

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직업병발생 물질과 GHS분류 자료를 이용한 화학물질 우선순위 평가 (Assessment of Priority Order Using the Chemical to Cause to Generate Occupational Diseases and Classification by GHS)

  • 백남식;정진도;박희찬
    • 한국환경과학회지
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    • 제19권6호
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    • pp.715-735
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    • 2010
  • This study is designed to assess the priority order of the chemicals to cause to generate occupational diseases in order to understand the fundamental data required for the preparation of health protective measure for the workers dealing with chemicals. The 41 types of 51 ones of chemicals to cause to generate the national occupational diseases were selected as the study objects by understanding their domestic use or not, and their occupational diseases' occurrence or not among 110,608 types of domestic and overseas chemicals. To assess their priority order the sum of scores was acquired by understanding the actually classified condition based on a perfect score of physical riskiness(90points) and health toxicity(92points) as a classification standard by GHS, the priority order on GHS riskiness assessment, GHS toxicity assessment, GHS toxic xriskiness assessment(sum of riskiness plus toxicity) was assessed by multiplying each result by each weight of occupational disease's occurrence. The high ranking 5 items of chemicals for GHS riskiness assessment were turned out to be urethane, copper, chlorine, manganese, and thiomersal by order. Besides as a result of GHS toxicity assessment the top fives were assessed to be aluminum, iron oxide, manganese, copper, and cadium(Metal) by order. On the other hand, GHS toxicity riskiness assessment showed that the top fives were assessed to be copper, urethane, iron oxide, chlorine and phenanthrene by order. As there is no material or many uncertain details for physical riskiness or health toxicity by GHS classification though such materials caused to generate the national occupational diseases, it is very urgent to prepare its countermeasure based on the forementioned in order to protect the workers handling or being exposed to chemicals from health.

ICD 연계 한의질병분류를 위한 전제로서의 공통개념어 연구 (Study on Common Conceptual Terms as a Premise for Korean Classification of Disease in Oriental Medicine in Connection with ICD-10)

  • 지규용
    • 동의생리병리학회지
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    • 제22권4호
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    • pp.718-724
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    • 2008
  • In order to classify diseases of oriental medicine in liaison with International Classification of Diseases, there should be intermediation and sharing concepts between the two in addition to proper classification. Classification units were settled for differentiation of diseases or syndromes first. And second, the standard forms of disease classification system were proposed. Third, this classification system was made of serial groupings of syndrome under the traditional disease name. Fourth, the location of disease and the interrelation between different syndromes were depicted with diagram in order to define more clearly. As the results and conclusion, The classification units were composed of 2 categories; topology, organ, meridian, somatic structure, body fluid units for description and various regulatory unit terms of western and traditional medicine for explanation. The mixed classification model of western diseases and traditional syndromes(證) was adopted as a fundamental classification system containing disease by exterior pathogen, systemic internal diseases, psychoneuronal diseases, metabolic diseases, diseases of sense organs, supportive structure diseases, obstetric-gynecology diseases, child diseases, 4-type constitutional diseases. And those were differentiated with generalized, localized, functional, oncogenic, environmental features in detail. The cause, site, condition, dispositions must be expressed in each disease name too. The types of diagnosis using classification system are principal and final diagnosis, principal procedure, main conditions, and these are applied to this Korean classification system equally. For more clarification of differentiation, a plane topological map and three dimensional coordinates were proposed to manifest the location, features and relation of disease itself or each other.

웨이퍼 오류 패턴 인식 시뮬레이션 (Wafer Fail Pattern Classification Simulation)

  • 김상진;한영신;이칠기
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2003년도 춘계학술대회논문집
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    • pp.161-166
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    • 2003
  • Semiconductor Manufacturing has emerged as one of the most Important world industries. Even with the highly automated and precisely monitored facilities used to process the complex manufacturing steps in a near particle free environment, processing variations in wafer fabrication still exist. The causes of these variations may arise from equipment malfunctions, delicate and difficult processing steps, or human mistakes. In this paper, we could specify the cause stage and the cause equipment and take countermeasures at a speed by the conventional method, without depending on the experience and skills of the engineer

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웨이퍼 오류 패턴 인식 시뮬레이션 (Wafer Fail Pattern Classification Simulation)

  • 김상진;한영신;이칠기
    • 한국시뮬레이션학회논문지
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    • 제12권3호
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    • pp.13-20
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    • 2003
  • Semiconductor Manufacturing has emerged as one of the most important world industries. Even with the highly automated and precisely monitored facilities used to process the complex manufacturing steps in a near particle free environment, processing variations in wafer fabrication still exist. The causes of these variations may arise from equipment malfunctions, delicate and difficult processing steps, or human mistakes. In this paper, we could specify the cause stage and the cause equipment and take countermeasures at a speed by the conventional method, without depending on the experience and skills of the engineer

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Classified Chemicals in Accordance with the Globally Harmonized System of Classification and Labeling of Chemicals: Comparison of Lists of the European Union, Japan, Malaysia and New Zealand

  • Yazid, Mohd Fadhil H.A.;Ta, Goh Choo;Mokhtar, Mazlin
    • Safety and Health at Work
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    • 제11권2호
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    • pp.152-158
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    • 2020
  • Background: The Globally Harmonized System of Classification and Labeling of Chemicals (GHS) was developed to enhance chemical classification and hazard communication systems worldwide. However, some of the elements such as building blocks and data sources have the potential to cause "disharmony" to the GHS, particularly in its classification results. It is known that some countries have developed their own lists of classified chemicals in accordance with the GHS to "standardize" the classification results within their respective countries. However, the lists of classified chemicals may not be consistent among these countries. Method: In this study, the lists of classified chemicals developed by the European Union, Japan, Malaysia, and New Zealand were selected for comparison of classification results for carcinogenicity, germ cell mutagenicity, and reproductive toxicity. Results: The findings show that only 54%, 66%, and 37% of the classification results for each Carcinogen, Mutagen and Reproductive toxicants hazard classes, respectively are the same among the selected countries. This indicates a "moderate" level of consistency among the classified chemicals lists. Conclusion: By using classification results for the carcinogenicity, germ cell mutagenicity, and reproductive toxicity hazard classes, this study demonstrates the "disharmony" in the classification results among the selected countries. We believe that the findings of this study deserve the attention of the relevant international bodies.

고장원인 확률을 이용한 FMEA와 고장진단 순서의 최적화 (A Study for FMEA and Optimization of Failure Diagnosis Sequence Using Probability of Failure Cause)

  • 송기태;김민호;백영구;이기서;김수명
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 추계학술대회 논문집
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    • pp.749-757
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    • 2007
  • Recently, with increasing interested in improvement of operational reliability and the systematic maintenance activities, the RCM analysis has been applied and tried to lots of applicable industries. This study covers applying the probability of failure cause to FMEA, and proposes an analytical method for this. Also, the measures of quantitative classification for the result of failure cause probability are addressed. Based on the field data, this thesis presents an identification for causes and characteristics of failure, and reviews them periodically from the above methodologies. As using FMEA applied the probability of failure cause, we in the future can look forward to improvement of efficiency for failure diagnosis & inspection, and reliability.

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IDENTIFICATION OF FALSIFIED DRUGS USING NEAR-INFRARED SPECTROSCOPY

  • Scafi, Sergio H.F.;Pasquini, Celio
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.3112-3112
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    • 2001
  • Near-Infrared Spectroscopy (NIRS) was investigated aiming at the identification of falsified drugs. The identification is based on comparison of the NIR spectrum of a sample with a typical spectra of an authentic drug using multivariate modelling and classification algorithms (PCA/SIMCA). Two spectrophotometers (Brimrose - Luminar 2000 and 2030), based on acoustic-optical filter (AOTF) technology, sharing the same controlling computer, software (Brimrose - Snap 2.03) and the data acquisition electronics, were employed. The Luminar 2000 scans the range 850 1800 nm and was employed for transmitance/absorbance measurements of liquids with a transflectance optical bundle probe with total optical path of 5 mm and a circular area of 0.5 $\textrm{cm}^2$. Model 2030 scans the rage 1100 2400 nm and was employed for reflectance measurement of solids drugs. 300 spectra, acquired in about 20 s, were averaged for each sample. Chemometric treatment of the spectral data, modelling and classification were performed by using the Unscrambler 7.5 software (CAMO Norway). This package provides the Principal Component Analysis (PCA) and SIMCA algorithms, used for modelling and classification, respectively. Initially, NIRS was evaluated for spectrum acquisition of various drugs, selected in order to accomplish the diversity of physico-chemical characteristics found among commercial products. Parameters which could affect the spectra of a given drug (especially if presented as solid tablets) were investigated and the results showed that the first derivative can minimize spectral changes associated with tablet geometry, physical differences in their faces and position in relation to the probe beam. The effect of ambient humidity and temperature were also investigated. The first factor needs to be controlled for model construction because the ambient humidity can cause spectral alterations that should cause the wrong classification of a real drug if the factor is not considered by the model.

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