• Journal of Korean Ophthalmic Optics Society
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• v.11 no.3
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• pp.181-185
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• 2006

The measurement of the radius of corneal curvature with keratometer was followed in 184 university students who wearing RGP contact lens and consisted of female(167), male(17) and keratoconus patients(3). Overall mean value in the radius of corneal curvature is 7.77mm, and right and left eyes is appeared the same mean value. Overall mean value in horizontal and vertical is 7.88mm and 7.65mm. Horizontal means is larger than vertical means by 0.22mm of the all female and male students. Male's mean value in the radius of corneal curvature(7.84mm) is larger than female's by 0.08mm, and right and left eyes is also the same mean value. Keratoconus patients' mean value in the radius of corneal curvature(6.86mm) is smaller than others students by 0.91mm.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.4 s.304
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• pp.51-58
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• 2005

This paper proposes a robust scene change detection technique that uses the weighted chi-square test and the automated threshold-decision algorithms. The weighted chi-square test can subdivide the difference values of individual color channels by calculating the color intensities according to NTSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-square test which emphasize the comparative color difference values. The automated threshold-decision at algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-square test. At first, The Average of total difference values is calculated and then, another average value is calculated using the previous average value from the difference values, finally the most appropriate mid-average value is searched and considered the threshold value. Experimental results show that the proposed algorithms are effective and outperform the previous approaches.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.149-160
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• 2017

In hypothesis testing, the interpretation of a statistic obtained from the data analysis relies on a probabilistic distribution of the statistic constructed according to several statistical theories. For instance, the statistical significance of a mean difference between experimental conditions is determined according to a probabilistic distribution of the mean differences (e.g., Student's t) constructed under several theoretical assumptions for population characteristics. The present study explored the logic and advantages of random-resampling approach for analyzing event-related potentials (ERPs) where a hypothesis is tested according to the distribution of empirical statistics that is constructed based on randomly resampled dataset of real measures rather than a theoretical distribution of the statistics. To motivate ERP researchers' understanding of the random-resampling approach, the present study further introduced a specific example of data analyses where a random-permutation procedure was applied according to the random-resampling principle, as well as discussing several cautions ahead of its practical application to ERP data analyses.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.65-74
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• 2005

This Paper Propose a robust scene change detection technique that use the weighted chi-square test and the automated threshold-decision algorithm. The weighted chi-test can subdivide the difference values of individual color channels by calculating the color intensities according to mSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-test which emphasize the comparative color difference values. The automated decision algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-test. In the first step, The average of total difference value and standard deviation value is calculated and then, subtract the mean value from the each difference values. In the next step, the same process is performed on the remained difference value. The propose method is tested on various sources and in the experimental results, it is shown that the Proposed method is efficiently estimates the thresholds and reliably detects scene changes.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.7
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• pp.216-224
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• 2013

The within-class variance of Otsu's method is moderate but improper in expressing class statistical distributions. Otsu's method uses a variance to represent the distribution of each class. The variance utilizes a distance square from the mean to a data. This process is not proper in denoting a real class statistical distribution because of the distance square. In this paper, to express more exact class statistical distributions, the within-class standard deviation as a criterion for threshold selection is proposed and then the optimal threshold is determined by minimizing it. In order to have validity, it is shown through the experimental results that the proposed method was more superior to the counterparts.

• The Journal of Korean Association of Computer Education
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• v.8 no.6
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• pp.103-111
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• 2005

This paper presents a novel automated threshold-decision algorithm that uses the mean and standard-deviation values obtained from the difference values of consecutive frames. At first, the calculation of difference values is obtained by the weighted ${\chi}^2$-test algorithm which was modified by joining color histogram to ${\chi}^2$-test algorithm. The weighted ${\chi}^2$-test algorithm can subdivide the difference values by imposing weights according to NTSC standard. In the first step, the proposed automatic threshold-decision algorithm calculates the mean and standard-deviation value from the total difference values, and then subtracts the mean value from the each difference values. In the next step, the same process is performed on the remained difference values, and lastly, the threshold is detected from the mean when the standard deviation has a maximum value. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method efficiently estimates the thresholds and reliably detects scene changes.

• Proceedings of the Korean Geotechical Society Conference
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• 1997.10a
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• pp.81-88
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• 1997

현재 국내외에서 해안가에 수심이 낮은 지역을 중심으로 대규모 매립공사를 수행하여 주택단지, 항만시설, 공업단지 및 공항부지 등으로 사용하고 있다. 매립재를 양질의 모래로 사용하는 경우 매립방법에 따라 매립토의 조밀정도는 다르나 어떠한 경우든 상당히 느슨하거나 중간정도 느슨한 상태로 존재한다. 이런한 느슨한 사질토는 지진 시 액상화 현상에 민감하고, 낮은 지지력 및 큰 즉시침하를 야기시킨다. 따라서 매립된 느슨한 사질토는 향후 시설될 구조물의 중요도에 따라 개량할 필요가 있다. 본 현장의 준설 매립된 사질토의 지반 개량에 적용된 동다짐의 시험시공중 pounder에 accelerometer를 설치하고 적외선 beam을 이용, 충격시의 pounder의 deccleration과 impact velocity를 측정하였다. 여기에서는 이들 실측치를 근거로 중량물체(pounder)의 동적 거동 및 충격시 과잉간극수압 변화를 살펴보았다.

• The Korean Journal of Financial Management
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• v.17 no.1
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• pp.161-180
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• 2000

본 연구는 주가를 예측하는데 있어서 선형 회귀모형을 이용하는 방법과 비선형 인공신경망 모형을 이용하는 방법을 비교 분석하여, 어떤 모형이 더 우수한 예측성과를 내는지를 검증한다. 자본시장에서 투자자들은 접근하는 정보가 다르고 각기 상이한 예측 변수들을 토대로 나름대로의 예측치를 만들어 낸다. 이렇게 볼 때 개별 투자자들이 이용하는 다양한 정보집합을 결합하여 단일의 뛰어난 정보집합을 만들어내는 것은 매우 어려운 과제이다. 따라서 본 연구에서는 이용 가능한 소수의 예측 변수들을 어떤 방식으로 결합하는 것이 예측오차의 분산을 최소화할 수 있는지에 대한 현실적인 접근방법을 모색하고자 한다. 거시경제변수나 시장자료를 입력변수로 사용한 기존 연구와는 달리 본 연구에서는 재무제표 정보를 입력변수로 사용하였다 즉, 대차대조표의 최종요약치인 주당 지분의 장부가치와 손익계산서의 최종요약치인 주당 순이익을 입력변수로 사용했으며 1991년부터 1995년까지의 추정(학습)결과를 토대로 모형을 선택하여 1996년의 제무제표 정보로 1997년의 주가를 예측하는 것이 본 연구의 과제이다. 연구결과, 대체로 선형회귀모형에 비해 비선형 신경망 모형이 예측오차의 분산을 감소시키는 것으로 나타났다.

• Geotechnical Engineering
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• v.5 no.4
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• pp.27-36
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• 1989

Load tests are executed on instrumented model piles to evaluate the magnitudes of soil plugging resistances mobilized at open-end pile tips. The plugging resistances are calculated by some existing methods, which are compared with observation. A couple of the methods are found to give good results. A new computational method to predict the plugging resistance is proposed in this paper, which also gives fairly close prodiction to the measurement, and is much simpler than the other computational methods.

• Journal of Power System Engineering
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• v.12 no.1
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• pp.28-34
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• 2008

가스-액체 이젝터에 관한 수치해석은 3차원 CFD 모델로 수행하였다. 본 논문에서는 이젝터의 유동특성과 질량전달특성에 대한 작동조건과 이젝터의 기하학적 모형의 영향에 관한 연구를 수행하고자 한다. CFD 결과 실험 데이터에 의하여 검증되었으며, 유동 분석과 이젝터 성능의 예측 또한 실행되었다. 작동상태의 변화는 0.2 $\sim$ 1.2 범위에서 가스-액체 유량비를 변화시킴으로서 주어진다. 혼합관의 $L_M/D_M$이 4 $\sim$ 10의 범위에서 변화를 주었다. CFD 연구는 길이와 직경비가 5.5일 때 체적 유량전달계수는 가스 유량이 증가함에 따라 증가한다는 것을 나타낸다. 동시에 $L_M/D_M$가 4일 때 체적유량전달계수는 기체-액체 유량비가 0.6에서 최대치에 도달한다. 또한, 체적 유량전달계수는 혼합 튜브길이가 증가함에 따라 감소한다.