• 한국동물위생학회지
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• 제34권4호
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• pp.429-439
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• 2011

This article described the comparison of a quick, easy, cheap, effective, rugged and safe (QuEChERS) sample preparation and the classical method established by National Veterinary Research and Quarantine Service (NVRQS) for the determination of pesticide residues in livestock products using GC-tandem mass spectrometry. The classical method by NVRQS used liquid-liquid partioning followed by evaporizing. The modified QuEChERS entailed extraction of 2 g sample with 15 ml acetonitrile containing 1% acetic acid followed by addition of 6 g anhydrous magnesium sulfate and 1.5 g sodium acetate. After centrifugation, 6 ml of the extract underwent a cleanup step (in a technique known as column-based solid phase extraction) using 400 mg each of $C_{18}$ and primary secondary amine sorbents plus 1,200 mg magnesium sulfate. The quantitation of individual pesticides by both methods was based on tissue standard calibration curves with a correlation coefficient in excess of 0.98 for the 24 pesticides. The detection limits by the classical method were ranged 1.3~5.0 ${\mu}g$/kg, with mean recoveries between 76.2% and 114.3% except aldrin (59.3%) and deltamethrin (63.6%). The detection limits by modified QuEChERS were ranged 0.3~6.2 ${\mu}g$/kg, with mean recoveries between 68.0% and 114.3% except dimethipin (152.6%), chlorfenvinphos (138.1%), 4,4-DDT (61.5%), aldrin (60.4%) and chinomethionate (30.3%).

• Bulletin of the Korean Chemical Society
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• 제34권11호
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• pp.3350-3356
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• 2013

Quasi-classical trajectory calculations have been carried out for the reaction H+HS by using the newest triplet 3A" potential energy surface (PES). The effects of the collision energy and reagent initial rotational excitation are studied. The cross sections and thermal rate constants for the title reaction are calculated. The results indicate that the integral cross sections (ICSs) are sensitive to the collision energy and almost independent to the initial rotational states. The ro-vibrational distributions for the product $H_2$ at different collision energies are presented. The investigations on the vector correlations are also performed. It is found that the collision energies play a postive role on the forward scatter of the product molecules. There is a negative influence on both the alignment and orientation of the product angular momentum for low collision energy at low energy region. Whereas the influence of collision energy is not obvious at high energy region.

• 전자공학회논문지CI
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• 제40권1호
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• pp.39-49
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• 2003

멀티미디어에 삽입된 워터마크의 검출은 저작권 보호 및 인증 분야에서 매우 중요한 역할을 한다. 최근 워터마크의 검출에 많이 사용되는 유사도 기반 알고리즘은 상가성 방법을 제외한 워터마크 삽입 방법에 대해서는 효과적이지 못한 단점을 가진다. 따라서 본 논문에서는 웨이블릿 변환 영역에서 상승적 방법에 의하여 삽입된 워터마크에 대한 효율적인 검출 알고리즘을 제안하였다. 제안한 워터마크 검출 알고리즘은 통계적 판단 이론에 따라 Bayes 판단 이론, Neyman-Pearson 정의, 및 웨이블릿 계수들의 확률 분포 모델을 기반으로 도출되어서, 주어진 오류 검출 확률에 대하여 간과 검출 확률을 최소화할 수 있다. 제안한 검출 알고리즘의 성능 평가는 견고성 측면에서 수행되었고, 실험 결과로부터 제안한 알고리즘이 유사도 기반 알고리즘에 비하여 우수한 성능을 나타냄을 확인하였다.

• 한국지반신소재학회논문집
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• 제10권3호
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• pp.33-41
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• 2011

본 논문에서는 국내 건설현장 29개 지점에서 국내 철도노반 다짐품질관리 방법인 반복평판재하시험과 LFWD(Light Falling Weight Deflection)에서 구한 변형률계수(Ev2)와 변형계수($E_{LFWD}$)에 대하여 응력보정을 통해 자갈재료와 사질토에 대하여 상관성을 비교하였다. 실험결과 대부분 다짐품질관리 기준을 만족하고 있으며, 입상재료의 경우 관리기준치에 약 3배이상 값을 나타내었다. 두 시험방법에 따른 상관성은 토사의 경우에는 서로 상관성이 높은 것으로 나타났지만, 강성이 상대적으로 큰 입상재료의 경우 두 시험간의 상관성이 적은 것으로 나타났다. 또한, 시험방법 별로 탄성계수를 구하여 응력상태를 보정한 후 회귀 분석한 결과 응력 보정하지 않는 조건보다 상관성이 더 높게 나타났다.

• 대한통합의학회지
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• 제7권1호
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• pp.1-8
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• 2019

Purpose : The purpose of this study was to examine the correlation between static and dynamic balance according to the virtual reality-based squat and conventional squat exercise. Methods : Twenty four participants were randomly assigned to the virtual reality-based squat (VRS) group (n=12) or conventional squat (CS) group (n=12). The static balance (C90 area, C90 angle, trace length, sway average velocity) and dynamic balance (forward, rearward, leftward, rightward) were measured using a force plate by BT4. The VRS group used the virtual reality system during 4 weeks, while the CS group underwent classical squat training. Independent t-test was used to test the homogeneity of the general characteristics of the subjects. The collected data was analyzed using the paired t-test for static and dynamic balance comparisons before and after exercise in both groups and Pearson's test for the correlation between static and dynamic balance according to the measured time. The significance level was set to 0.05. Results : There was no significant correlation between group and static and dynamic balance related variables (p>.05). There was a significant correlation between measurement time and static and dynamic balance related variables (p<.05). According to the measurement time, the static balance parameter C90 area in the VRS group after exercise was significantly decreased (p<.05). The values of forward, leftward and rightward in the VRS group were significantly increased after exercise (p<.05). Conclusion : It is suggested that 20 normal healthy adult men and women who have normal balance ability can improve their ability to control their posture by improving the balance ability when applying virtual reality-based squat exercise.

• 한국환경보건학회지
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• 제7권2호
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• pp.89-95
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• 1981

A Continuous monitoring of Air Pollution in city of Seoul was carried out from January 1 to December 31 of 1979 at two selected sites, Kwanghwamun observatory and Kwanag observatory. The measured data were averaged on monthly basis. The maximun value of oxidant pollution was observed in July, and the minimum in February. It is the purpose of this study to determine the effect of hydrocarbon, nitrogenoxide, wind velocity and ambient temprature on the observed values of oxidant pollution for the above two months. The results of the study may be summarized as follows. 1) The oxidant concentration in February was higher than in July by about 2 times in both downtown area and the suburbia. The concentration in downtown area was $25.75\pm 4.75ppb$, and that in suburbia was $29.83\pm 5.16ppb$. As for the oxidant concentration in July, it was observed that the suburban area ($26.464\pm 7.59ppb$) had about 2.8 times higher value than the downtown area ($9.284\pm 1.55ppb$). 2) The peak oxidant concentration of suburban area during the daytime is occured from noon to 5:00 P.M.. These patterns are similar to the classical patterns, but the peak Oxidant Concentration of downtown area in February was occured at 9:00A.M. 3) The overall level of nitrogen oxide pollution was much higher in downtown area than in suburban area. Two peaks of nitrogen oxide concentration occured at 10 A.M. and 12 midnight in downtown area. This observation agrees with the report that the air pollution is higher in the area where the pollution sources are concentrated. 4) The multiple correlation analysis for the oxidant and the other variables measured in February in downtown area showed close correlation with nitrogen oxide and ambient temprature. The multiple correlation coefficient of oxidant with nitrogen oxide was 0.872, and that with nitrogen oxide and temperature simultaneously was 0.903. The multiple correlation equation used for this study may be expressed as follows:

• 한국측량학회지
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• 제24권5호
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• pp.409-416
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• 2006

영상 기하보정은 여러 가지 데이터의 조합으로부터 얻어질 수 있는 영상 분석 작업에 매우 중요한 전처리 과정 중 하나다. 본 연구는 최근 평면 영상간 기하보정에 많이 사용하고 있는 SIFT 기법을 적용하여, 다양한 해상도를 가진 위성영상의 자동 기하보정을 수행하는데 초점을 맞추고 있다. 2차원 영상의 조건을 만족하기 위해 기복변위의 영향이 상대적으로 적은 중 저해상도 위성영상의 기하보정을 수행하였으며, 다양한 해상도 영상을 조합함으로써 공간해상도의 차이를 보이는 영상의 기하보정에 SIFT 기법을 적용할 수 있는지를 실험하였다. 결과를 통해, SIFT 기법이 기존의 상관계수를 이용하여 특징점의 정합을 수행하는 방법에 비해 높은 정합률을 나타냈으며, 추출된 정합쌍을 자동 영상 기하보정에 사용할 수 있을 것으로 기대한다.

• 대한치과기공학회지
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• 제38권3호
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• pp.217-224
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• 2016

Purpose: This study aimed to generate 3-D occlusal curvatures and evaluate the relationship between the occlusal curvatures and mandibular occlusal morphology factors. Methods: Mandibular dental casts from 25 young adult Korean were scanned as a virtual dental models with a 3-D scanner(Scanner S600, Zirkonzahn, Italy). The curve of Spee, curve of Wilson, and Monson's sphere were generated by fitting a circle/sphere to the cusp tips using a least-squares method. The mandibular mesiodistal cusp inclination, buccolingual cusp inclination, and tooth wear parameters were measured on the prepared virtual models using RapidForm2004(INUS technology INC, Seoul, Korea). Wilcoxon signed-rank test was performed to test side difference, and Spearman's rank correlation coefficients were investigated to verify the correlation between occlusal curvatures and correlated factors (a=0.05). Results: The mean radii of curve of Spee were $83.09{\pm}33.94$ in the left side and $79.00{\pm}28.12mm$ in the right side. The mean radii of curve of Wilson were $66.82{\pm}15.87mm$ in the mesial side and $47.87{\pm}9.40mm$ in the distal side with significantly difference between mesiodistal sides(p<0.001). The mean radius of Monson's sphere was $121.85{\pm}47.11mm$. Most of the cusp inclination parameters showed negative correlation for the radius of Monson' sphere(p<0.05). Especially, the buccolingual cusp inclinations in mesial side of molar showed high correlation coefficients among the factors(p<0.05). Conclusion: The radius of Monson's sphere was greater than the classical 4-inch values, and the buccolingual cusp inclinations in mesial side of molar can be considered as one of the main factors correlating with the radius of Monson's sphere.

• 한국의류학회지
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• 제33권4호
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• pp.531-542
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• 2009

This study examines the correlation between the characteristics of sustainable slow design, The outcome derived from the pro-environmental consciousness in fashion design, and the trends of modern fashion design. The conclusion of this study is as follows. First, slow design for sustainability shows an environmental consciousness and stresses the ethical aspects of fashion design that take into account the wellbeing and sustainable development of human society. It also focuses on the continuos present in which the consistent pace of life endures, rather than pursuing speedy changes of fashion by titillating desire. Second, the five characteristics of slow design have been extracted from the analysis of the examples of fashion industry and other fashion-related areas. They are sustainability, recyclibility, handicraft, naturalness, and simplicity. Third, these characteristics of slow design have much to do with modern fashion genres. For instance, classical style fashions such as Chanel suit and Burberry coat have the same qualities of sustainability, while at the same time the Vintage fashion, which reinterprets the fashions from bygone eras in modern style, has the tendency of recyclibility, and the Hippie style, a resurrection of hand-touch spirit that emerged as a secondhand style expressionism resisting uniform mass production, has not only the quality of handicraft but also recyclibility.

• IEIE Transactions on Smart Processing and Computing
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• 제6권3호
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• pp.183-192
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• 2017

k-nearest neighbor (K-NN) is a well-known classification algorithm, being feature space-based on nearest-neighbor training examples in machine learning. However, K-NN, as we know, is a lazy learning method. Therefore, if a K-NN-based system very much depends on a huge amount of history data to achieve an accurate prediction result for a particular task, it gradually faces a processing-time performance-degradation problem. We have noticed that many researchers usually contemplate only classification accuracy. But estimation speed also plays an essential role in real-time prediction systems. To compensate for this weakness, this paper proposes correlation coefficient-based clustering (CCC) aimed at upgrading the performance of K-NN by leveraging processing-time speed and plurality rule-based density (PRD) to improve estimation accuracy. For experiments, we used real datasets (on breast cancer, breast tissue, heart, and the iris) from the University of California, Irvine (UCI) machine learning repository. Moreover, real traffic data collected from Ojana Junction, Route 58, Okinawa, Japan, was also utilized to lay bare the efficiency of this method. By using these datasets, we proved better processing-time performance with the new approach by comparing it with classical K-NN. Besides, via experiments on real-world datasets, we compared the prediction accuracy of our approach with density peaks clustering based on K-NN and principal component analysis (DPC-KNN-PCA).