• Title/Summary/Keyword: 평균차

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3차 적률(Moment)의 선형적 성질

  • 동경화
    • Journal for History of Mathematics
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    • v.9 no.2
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    • pp.15-21
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    • 1996
  • 적률법(method of moment)이란 변수 X의 멱승에대한 기대치를 이용하여 분포의 성질을 알아보는 방법이다. 여기서 적률법이 이용되어진 역사적 배경을 소개하고, 3차 적률들의 선형적 성질을 비교하였다. 먼저, Kagan이 입증한 표본평균에 관한 3차 표본적률의 선형적 성질과 Bayesian 경우에 3차 사후적률(posterior moment)과 사후평균(posterior)의 선형성을 소개하였다. 그리고, 자연지수족(natural exponential family)아래서도 표본평균에 관한 3차 표본적률의 선형성을 알아보기 위해 단순함수(simple function)의 형태로 유도하였으며, 정규분포인 경우에 적용시켜 보았다.

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Evaluation of Variable Lane Width Need Based on Vehicle Lateral Displacement on Eight Lane Freeway (차로 고속도로 차량 횡방향 주행궤적에 의한 차로별 적정폭 연구)

  • 서정남;장명순;이풍희
    • Journal of Korean Society of Transportation
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    • v.15 no.1
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    • pp.129-156
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    • 1997
  • 8차로 고속도로에서 중앙분리대와 길 어깨에 의해 측방 여유폭이 제공되는 외측차 로(1.4차로)와 측방 여유폭이 제공되지 않는 내측차로 (2.3차로)에서 나타나는 운전자의 횡 방향 주행특성을 4개 지점에서 비디오 촬영하여 분석한 결과는 다음과 같다. (1) 차량의 횡 방향 주행궤적은 차로의 중심으로부터 주행방향의 좌측으로 이격된 주행 행태를 보이고 있 으며 이는 운전석의 위치에 의한 영향으로 판단된다. (2) 차량의 병행 주행시 외측 차로의 중심 이격 거리는 평균 0.38m이고 내측차로의 중심 이격 거리는 평균 0.34m로 나타났으며 T-test 겨로가 내측 차로와 외측 차로의 주행 이격 거리는 신뢰도 95%에서 상이한 것으로 나타났다. (3) 외측 차로의 주행궤적간 이격 거리는 평균 3.90m이고 내측 차로의 주행궤적 간 이격 거리는 평균 3.54m로서 내측 차로의 주행궤적간 이격 거리는 외측 차로의 주행궤 적간 이격 거리보다 0.36m 작다. 특히 내측 차로의 주행궤적간 이격 거리는 내측 차로간 차로 중심간 간격인 3.6m 보다 0.1m 작은 것으로 나타났다. (4) 내측차로 확장 대안으로 기존 도로폭 유지안 (3.5m, 3.7m, 3.5m)과 기존 도로폭 확장안 (3.6m, 3.7m, 3.7m, 3.6m)을 고려할 수 있으며 두 대안의 비교·분석결과 경제적 영향을 고려할 때 기존 도로폭 유지안이 우수한 것으로 분석되었다.

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Control Effect of Oral Health Following Individualized Repeated Instruction (맞춤형 반복교육에 따른 구강건강 관리효과)

  • Jo, Min-Jung
    • Journal of dental hygiene science
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    • v.8 no.4
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    • pp.361-365
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    • 2008
  • To educate the technique performing oral health care by oneself, four times individualized oral instruction was introduced to patients and control marks of plaque on sex, age, occupation, monthly average income, academic career were measured respectively. Through analysis of it's results and evaluation of oral health care grade on patients, this study arranged for basic data about individualized oral instruction to improve public oral health. 1. As individualized oral instruction was processed, control mark of dentalplaque improved greatly. 2. Control mark of dentalplaque on sex, female's control mark was higher than male's it. But, a gap of control mark was small. 3. Control mark of dentalplaque on age, control mark of patients in their 50s to 59s and 30s to 39s was higher than average of the whole. 4. Control mark of dentalplaque on occupation, control mark of inoccupation and professional was highly appeared. 5. Control mark of dentalplaque on monthly average income, control mark of patients whose monthly average income was below 2.5 million was highly appeared. 6. Control mark of dentalplaque on academic career, control mark of patients who graduated of university was highly appeared at first and second evaluation. On the other hand, control mark of patients who graduated of college or dropped out of university was highly appeared at third and fourth evaluation. According to the above statements, to effectively take care of oral health, our felt keenly the necessity of the individualized repeated instruction.

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Smoke Detection using Block-based Difference Images and Projections (블록기반 차영상과 투영 그래프를 이용한 연기검출)

  • Kim, Dong-Keun;Kim, Won-Ho
    • The KIPS Transactions:PartB
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    • v.14B no.5
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    • pp.361-368
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    • 2007
  • In this paper, we propose a smoke detection method which is based on block-wise difference of image frames in video. Our proposed method is composed of three steps which are (a) the detection step of the changed regions against the background, (b) the background update step, and (c) the smoke determination step from the changed regions. We first construct the block mean Image of frames in video. And to extract the changed regions against the background, we use a block-wise difference between background's block mean image and a current input frame's block mean image. After applying projections in block-based difference images, we can determine the changed regions as rectangles using projections of difference images. we propose a update scheme of background's block mean image using the projections. We decide the smoke region using the femoral statistics of the central position and YUV color in the changed region.

The anti-diabetic effect of propolis using Hedges' standardized mean difference (헤지의 표준화된 평균차를 이용한 프로폴리스의 항-당뇨 효과)

  • Kim, Mi-Jin;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.447-459
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    • 2010
  • The present study was carried out to summarize the effect of propolis in the diabetic rats by meta-analysis related studies. The association measure to test effect of propolis was Hedges's standardized mean difference between group of rats induced streptozotocin(STZ) or alloxan and group of rats induced STZ or alloxan treated with propolis about the considered 4 effect factors. In this particular fixed-effect model, blood glucose, Cholesterol, Triglyceride were significantly reduce. The case of heterogenous variable such as body weight, blood glucose, cholesterol, triglyceride, random-effect model was applied. In this model, blood glucose, triglyceride were decreased significantly in propolis treated group. According to the meta-regression analysis, period of injection was significant for body weight and blood glucose, cholesterol.

ME-based Emotion Recognition Model (ME 기반 감성 인식 모델)

  • Park, So-Young;Kim, Dong-Geun;Whang, Min-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.985-987
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    • 2010
  • In this paper, we propose a maximum entropy-based emotion recognition model using individual average difference. In order to accurately recognize an user' s emotion, the proposed model utilizes the difference between the average of the given input physiological signals and the average of each emotion state' signals rather than only the input signal. For the purpose of alleviating data sparse -ness, the proposed model substitutes two simple symbols such as +(positive number)/-(negative number) for every average difference value, and calculates the average of physiological signals based on a second rather than the longer total emotion response time. With the aim of easily constructing the model, it utilizes a simple average difference calculation technique and a maximum entropy model, one of well-known machine learning techniques.

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The Sea Level Slopes along the Korean Peninsular Coast based on the First Order Levelling Net in Korea (1등 수준망에 기준한 한반도 연안의 해면경사)

  • 이창경
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.11 no.2
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    • pp.35-41
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    • 1993
  • The height differences in Mean Sea Level is an important factor in geodetic leveling net, because MSL is the reference datum for height. Geodesists and Oceanographers agree on the height differences in MSL in the east-west direction, but they disagree almost always on the north-south slope, each suspecting systematic errors in the leveling methods of the others. A promising method for determining this slope is comparison of MSL at the tidal station connected by geodetic leveling. The slopes of the sea surface along the coast of Korean Peninsular is estimated from conventional local MSL at the tidal station and bench mark height of first order leveling net in Korea. As a reference level surface, MSL at Inchon is chosen. The results indicate that sea level rises along coast of Korean Peninsular from south to north about 5.5 cm/latitude. In the east-west direction, sea level along East Sea coast stands about 5 cm higher than that along Yellow Sea coast. These are not invariable but provisional phenomena. It may become certain provided that the exact MSL is estimated.

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The Effect of Group Mean Differences upon Factor Analysis (상관행렬의 구조분석에서 집단평균차이의 효과: 요인분석기법을 중심으로)

  • 김청택;이소영
    • Proceedings of the Korean Association for Survey Research Conference
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    • 2001.04a
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    • pp.109.2-130
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    • 2001
  • The purpose of this study is (1) to demonstrate that ignoring group differences may mislead to incorrect conclusion when analyzing correlation data (e.g., factor analysis), (2) to highlight the importance of the data analytic method considering group differences, and (3) to provide ways of incorporating group differences in data analysis. In study, 1, ignoring group difference in factor analysis may mislead to incorrect factor structure. To remedy this, z-transform method and group analysis tool in covariance structure models were suggested. In study 2, the group differences effect was illustrated by using real data (IQ test data).

The Effect of Group Mean Differences upon Factor Analysis (상관행렬의 구조분석에서 집단평균차이의 효과: 요인분석기법을 중심으로)

  • 김청택;이소영
    • Survey Research
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    • v.2 no.2
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    • pp.109-130
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    • 2001
  • The purpose of this study is (1) to demonstrate that ignoring group differences may mislead to incorrect conclusion when analyzing correlation data (e.g.. factor analysis). (2) to highlight the importance of the data analytic method considering group differences. and (3) to provide ways of incorporating group differences in data analysis. In study 1. ignoring group difference in factor analysis may mislead to incorrect factor structure. To remedy this. z-transform method and group analysis tool in covariance structure models were suggested. In study 2. the group differences effect was illustrated by using real data (IQ test data).

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A study on the parameters for biodegradable characteristics of sewage discharged intermittently (부정기적 발생 오수의 유기물 생분해도 특성 parameter 산정에 관한 연구)

  • Han, Gee-Bong;Lee, Young-Sin
    • Journal of the Korea Organic Resources Recycling Association
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    • v.22 no.3
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    • pp.41-52
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    • 2014
  • In this study, to estimate the biodegradability of sewage discharged intermittently, field scale sampling and analysis was conducted and the results were obtained as follows. According to results of the biodegradability of sewage discharged intermittently, average concentration of TCODcr is 325.5mg/L and ratio of TCOD fraction resulted 100%. Also, average concentration of SCODcr resulted 135.9mg/L and ratio of TCOD fraction resulted 41.8%. Average concentration of Ss showed 74.1mg/L and ratio of TCOD fraction resulted 22.8%. Average concentration of $S_I$ was analyzed to be 61.8mg/L and ratio of TCOD fraction was calculated to 19.0%. Xs which is particulate matter was analyzed to show 27.8mg/L and ratio of TCOD fraction also showed 8.5%. Average concentration of $X_H$ is 103.4mg/L and ratio of TCOD fraction resulted 31.8%. Inert particulate matter showed that average concentration of $X_I$ is 58.5mg/L and ratio of TCOD fraction resulted 18.0%. Accordingly, dissolved biodegradable organic matter showed the ratio of 41.8%, and readily biodegradable matter among this showed 22.8%. Thus intermittent inflow is expected to have less effect with regards equalization by organic loading rate of influent.