• 제목/요약/키워드: Prediction density

검색결과 817건 처리시간 0.033초

Yoon과 Nelson의 흡착모델을 이용한 방독마스크 정화통의 수명예측(I) (Prediction of Service Life of a Respirator Cartridge for Organic Solvent by Using Yoon and Nelson's Adsorption Model)

  • 김기환;원정일
    • 한국산업보건학회지
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    • 제18권1호
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    • pp.20-31
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    • 2008
  • A respirator is useful to protect a worker from the harmful gases and vapors in the workplace, and the evaluation of respirator cartridge service life is important for the worker's health and safety. The performance of cartridge is effected by several factors such as concentration of gas and vapor, humidity, temperature, adsorbents and cartridge packing density. Adsorption model was applied to both sampling tube and respirator cartridge to predict the service life for organic vapors. The variables of the adsorption model were measured from the experiment with the sampling tube, and it was used to predict the service life of respirator cartridge. In the experiment, we used carbon tetrachloride as a organic vapor and activated carbon take out respirator cartridge as activated carbon. As a result, it was possible to predict the service life of respirator cartridge and predicted service life was quite correct. Breakthrough time decreased with increase of CCl4 concentration. In case of sampling tube, adsorbed amount of CCl4 was larger than respirator cartridge due to linear velocity. Also, rate constant of sampling tube was larger than respirator cartridge, because of, effect of flow rate, packing density. In the prediction of service life of respirator cartridge by using sampling tube, the time required for 50% contaminant breakthrough(${\tau}$) is more effective than the rate constant(k').

저밀도 폴리에틸렌의 트리 파괴 예지와 음향방출과의 관계 (The Relation between Treeing Breakdown Prediction and Acoustic Emission in Low Density Polyethylene)

  • 백관현;심종탁;김재환
    • 한국조명전기설비학회지:조명전기설비
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    • 제8권2호
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    • pp.77-84
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    • 1994
  • 이 논문에서는 저밀도 폴리에틸렌(이하 LDPE라 함)의 절연파괴 실험시 발생되는 전기적 트리진전시 발생되는 부분방전을 음향방출 측정법에 의해서 측정하였다. 부분방전 발생시 생기는 음향방출 펄스와 플스 진폭을 각 위상각별 시간별로 측정하였고, 왜도 즉 Skewness(이하 S라 함)개념을 도입하여 S값에 의한 LDPE 파괴예지가 가능함을 보였다. 또한 시료로서 인공보이드가 있는 시료와 보이드가 없는 시료를 사용하여 같은 전압 인가시 보이드가 있는 시료가 절연파괴로의 진전이 빠르게 진행됨을 알았다.

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셀룰로오스 아세테이트 모노 필터의 경도 예측 (Prediction of the % Hardness Curve of Cellulose Acetate Mono Filters)

  • 김종열;김수호;신창호;박진원;임성진;김정렬;이문수
    • 한국연초학회지
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    • 제28권1호
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    • pp.43-50
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    • 2006
  • The objective of the present study is to induct the regression equation for the hardness prediction of cellulose acetate filter which was manufactured by the domestic cellulose acetate tow manufacturer. As a result of our study, the hardness of filter was increased with increasing the plasticizer content and packing density as major factors affecting to the filter hardness. As a result which was obtained by the three dimensional response surface methodology in STATISTIC A program, the hardness prediction value well fitted with experiment result on the high plasticizer content. To make up for the this equation, the new modified fraction of solid factors which was contained the mono denier factor was introduced to the hardness prediction equation, and this third regression equation which was sufficient for the wide plasticizer content, was obtained by the three dimensional response surface methodology in STATISTICA. This results indicated that the third regression equation which was obtained this study was applicable for the hardness prediction of cellulose acetate filter which was manufactured by the domestic cellulose acetate tow manufacturer.

협업 필터링 추천 시스템을 위한 데이터 신뢰도 기반 가중치를 이용한 하이브리드 선호도 예측 기법 (Hybrid Preference Prediction Technique Using Weighting based Data Reliability for Collaborative Filtering Recommendation System)

  • 이오준;백영태
    • 한국컴퓨터정보학회논문지
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    • 제19권5호
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    • pp.61-69
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    • 2014
  • 협업 필터링 추천은 사용자의 아이템에 대한 선호도를 기반으로 유사 아이템 집합 또는 유사 사용자 집합을 생성하고 이를 이용해 사용자의 특정 아이템에 대한 선호도를 예측한다. 따라서 선호도 행렬이 희박할 경우, 추천의 신뢰도는 급격히 낮아진다. 본 논문에서는 위 문제를 해결하기 위해 데이터 신뢰도 기반 가중치를 이용한 하이브리드 선호도 예측 기법을 제안한다. 선호도 예측은 유사 아이템 집합과 유사 사용자 집합을 모두 생성하고 각 집합을 통해 사용자의 선호도를 예측하며, 모델의 상황을 반영한 가중치를 이용해 각 예측치를 병합하여 수행된다. 이 기법은 사용자 선호도 예측 정확도를 높이며 선호도 행렬 희박도가 높은 상황에도 추천 서비스의 신뢰도를 유지할 수 있도록 한다. 이 기법을 바탕으로 추천 시스템을 구현하고 절대평균오차를 기준으로 서비스 신뢰도 향상을 측정하였다. 실험에서 본 기법은 Hao Ji가 제안한 기존의 기법에 비해 선호도 행렬 희박도가 84% 이상인 상황에서 평균 21.7%의 성능 향상을 보여 효과적으로 행렬 희박도 문제를 해소할 수 있음을 검증하였다.

국부 변형률 근사를 이용한 원통형 노치시편의 피로균열 발생수명의 예측 (The Prediction of Fatigue Crack Initiation Life of Cylindrical Notch Specimens Using Local Strain Approximation)

  • 임재용;홍성구;이순복
    • 대한기계학회논문집A
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    • 제28권6호
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    • pp.791-798
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    • 2004
  • Fatigue crack initiation lives of round cylindrical notch specimen were investigated. Firstly, local strain approximation methods, such as the modified incremental Neuber's rule and the modified incremental Glinka's equivalent strain energy density(ESED) rule, were used to get multiaxial stress and strain state components at the notch tip. Based on the history of local stress and strain, multiaxial fatigue models were used to obtain fatigue crack initiation lives. Because the solution of Neuber's rule and Glinka's ESED rule make the upper and lower bound of local strain approximations, fatigue crack initiation lives are expected to place between life predictions by two local strain approximations. Experimental data were compared with the fatigue crack initiation life prediction results.

다관형 고밀도 순환유동층 열교환기의 열전달계수에 대한 예측모델 연구 (A Study on Prediction Model of Heat Transfer Coefficient in the Circulating Fluidized Bed Heat Exchanger with Multiple Vertical Tubes)

  • 박상일
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2005년도 동계학술발표대회 논문집
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    • pp.288-293
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    • 2005
  • The pressure distribution and heat transfer coefficient were measured at room temperature in the high suspension density CFB heat exchanger with multiple vertical tubes and the effective density of CFB was determined. The theoretical model for predicting heat transfer coefficient was developed in this study. The model predictions were compared with the measured heat transfer coefficient to show relatively good agreement between them.

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셀 레벨에서의 OPTICS 기반 특질 추출을 이용한 칩 품질 예측 (A Prediction of Chip Quality using OPTICS (Ordering Points to Identify the Clustering Structure)-based Feature Extraction at the Cell Level)

  • 김기현;백준걸
    • 대한산업공학회지
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    • 제40권3호
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    • pp.257-266
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    • 2014
  • The semiconductor manufacturing industry is managed by a number of parameters from the FAB which is the initial step of production to package test which is the final step of production. Various methods for prediction for the quality and yield are required to reduce the production costs caused by a complicated manufacturing process. In order to increase the accuracy of quality prediction, we have to extract the significant features from the large amount of data. In this study, we propose the method for extracting feature from the cell level data of probe test process using OPTICS which is one of the density-based clustering to improve the prediction accuracy of the quality of the assembled chips that will be placed in a package test. Two features extracted by using OPTICS are used as input variables of quality prediction model because of having position information of the cell defect. The package test progress for chips classified to the correct quality grade by performing the improved prediction method is expected to bring the effect of reducing production costs.

Happel Cell 모델을 이용한 막오염 지수 예측 (Prediction of Membrane Fouling Index by Using Happel Cell Model)

  • 박찬혁;김하나;홍승관
    • 상하수도학회지
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    • 제19권5호
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    • pp.632-638
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    • 2005
  • Membrane fouling index such as Silt Density Index (SDI) and Modified Fouling Index (MFI) is an important parameter in design of the integrated RO/NF membrane processes for drinking water treatment. In this study, the effect of particle, membrane and feed water characteristics on membrane fouling index were investigated systematically. Higher fouling index values were observed when filtering suspensions with smaller particle size and higher feed particle concentration. Larger membrane resistance due to smaller pore size resulted in an increased membrane fouling index. The variations of feed water hardness and TDS concentrations did not show any impact on fouling index, suggesting that there were no significant colloidal interactions among particles and thus the porosity of particle cake layer accumulated on the membrane surface could be assumed to be 0.36 according to random packing density. Based on the experimental observations, fundamental membrane fouling index model was developed using Happel Cell. The effect of primary model parameters including particle size ($a_p$), particle concentration ($C_o$), membrane resistance ($R_m$), were accurately assessed without any fitting parameters, and the prediction of membrane fouling index such as MFI exhibited very good agreement with the experimental results.

토지이용 및 교통특성을 반영한 교통사고 예측모형 개발 연구 (Development of Traffic Accident Forecasting Models Considering Urban-Transportation System Characteristics)

  • 박준태;장일준;손의영;이수범
    • 대한교통학회지
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    • 제29권6호
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    • pp.39-56
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    • 2011
  • 본 연구에서는 서울시 자치구(행정구역) 중심의 거시적 사고예측모형을 개발하였다. 사고예측모형 개발과정에서 서울시 전체를 하나의 모형식으로 개발하지 않고 지역 토지이용(개발밀도)과 교통사고빈도와의 관계를 분석하여 토지이용 유형에 따른 사고예측모형을 개발하였다. 토지이용과 교통사고빈도와의 관계에서 개발밀도(연상면적)가 높을수록 교통사고빈도가 높게 나타나는 상관성을 파악하였으며 주거연상면적, 상업연상면적, 업무연상면적 모두 교통사고와 반응하는 특징이 다름을 확인할 수 있었다. 총 4개의 유형구분이 가능하였으며 각 유형에 대한 지역특성과 사고특성을 살펴보았다. 4개 유형의 모형에 반영된 설명변수는 공통변수와 각 유형별로 상이한 특성변수가 도출되어 지역적 특성이 모형에 반영된 것으로 판단할 수 있다. 사회 경제적 변수로는 통행을 유발 유입시키는 교통활동을 대변할 수 있는 변수가 채택되었으며 교통여건 변수로는 교통시설 및 안전과 관련된 변수가 채택되었다.

Modeling of Process Plasma Using a Radial Basis Function Network: A Cases Study

  • Kim, Byungwhan;Sungjin Rark
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권4호
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    • pp.268-273
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    • 2000
  • Plasma models are crucial to equipment design and process optimization. A radial basis function network(RBFN) in con-junction with statistical experimental design has been used to model a process plasma. A 2$^4$ full factorial experiment was employed to characterized a hemispherical inductively coupled plasma(HICP) in characterizing HICP, the factors that were varied in the design include source power, pressure, position of shuck holder, and Cl$_2$ flow rate. Using a Langmuir probe, plasma attributes were collected, which include typical electron density, electron temperature. and plasma potential as well as their spatial uniformity. Root mean-squared prediction errors of RBEN are 0.409(10(sup)12/㎤), 0.277(eV), and 0.699(V), for electron density, electron temperature, and Plasma potential, respectively. For spatial uniformity data, they are 2.623(10(sup)12/㎤), 5.704(eV) and 3.481(V), for electron density, electron temperature, and plasma potential, respectively. Comparisons with generalized regression neural network(GRNN) revealed an improved prediction accuracy of RBFN as well as a comparable performance between GRNN and statistical response surface model. Both RBEN and GRNN, however, experienced difficulties in generalizing training data with smaller standard deviation.

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