• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.41-48
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• 2009

The risk assessment for heavy metal pollutions were analyzed by using statistical techniques including correlation and cluster analyses. The contamination data in this investigation obtained were from the Chungcheongnam-do abandoned mines. The descriptive statistical analysis showed that the values of Pb and Zn were relatively higher than other heavy metal values. The detection of heavy metals by distance from abandoned mines within 1,000m were mostly As, Cd, Pb, and Zn. It was noted, especially, that Zn was even detected at 4,000m The results of coefficient correlation showed that Zn to Cd was the highest values. The cluster and dendogram analyses were generated. The results showed the two clear groups by heavy metal characteristics.

• Journal of Integrative Natural Science
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• v.5 no.2
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• pp.120-126
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• 2012

This paper describes the algorithm that lowers the dimension, maintains the gesture recognition and significantly reduces the eigenspace configuration time by combining the higher correlation feature information and Principle Component Analysis. Since the suggested method doesn't require a lot of computation than the method using existing geometric information or stereo image, the fact that it is very suitable for building the real-time system has been proved through the experiment. In addition, since the existing point to point method which is a simple distance calculation has many errors, in this paper to improve recognition rate the recognition error could be reduced by using several successive input images as a unit of recognition with K-Nearest Neighbor which is the improved Class to Class method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.694-696
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• 2022

In this study, in order to predict KIA's K3 used car price, we used car data registered on the K Car site from 2013 to 2021, and the variables used in the correlation analysis are model year, accident presence / absence, and driving. Distance, fuel and exhaust volume were used. Based on this data, we were able to use the Google Colab platform to analyze the correlation and, through the analysis, know if it correlates with the used car price.

• Journal of Electrical Engineering and information Science
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• v.1 no.2
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• pp.45-51
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• 1996

This paper presents a neural network approach for on-line estimation of partial discharge(PD) location using advanced correlation technique in power transformer. Ultrasonic sensors detect ultrasonic signals generated by a PD and the proposed method calculates time difference between the ultrasonic signals at each sensor pair using the cross-correlation technique applied by moving average and the Hamming window. The neural network takes distance difference as inputs converted from time difference, and estimates the PD location. Case studies showed that the proposed method using advanced correlation technique and a neural network estimated the PD location better than conventional methods.

• Journal of Acupuncture Research
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• v.30 no.5
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• pp.51-64
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• 2013

Objectives : This study is performed to develop the oriental medical rating scale of knee pain and to assess its validity. Methods : 250 knee pain patients completed the previously accepted rating scale of knee pain(VAS, WOMAC(pain, function, stiffness), 6 minute walk test(number of steps, distance)) and oriental medical rating scale of knee pain which was developed by Hwang et al at 2012, before and after the 6 weeks acupuncture treatment. Comparing these results, we assessed the validity of oriental medical rating scale. Results : Comparing oriental medical rating scale of knee pain before acupuncture treatment with VAS, WOMAC(pain, function, stiffness) and 6 minute walk test(number of steps, distance), oriental medical rating scale showed correlation with VAS, WOMAC(pain, function, stiffness) and showed the highest correlation with WOMAC(function). Comparing the change of oriental medical rating scale of knee pain after 6 weeks of acupuncture treatment with the change of VAS, WOMAC(pain, function, stiffness) and 6 minute walk test(number of steps, distance) after 6 weeks, change of oriental medical rating scale showed correlation with the change of VAS, WOMAC(pain, function, stiffness) and showed the highest correlation with the change of WOMAC(function). Through factor analysis of oriental medical rating scale items, 4 factors(pain, swelling, deformation of the knee, thermal sense of the knee), 17 items were extracted. Conclusions : Oriental medical rating scale of knee pain reflected the patient's pain, functional limitation and stiffness well. And oriental medical rating scale reflected the patient's functional improvement after the treatment well.

• Journal of Sericultural and Entomological Science
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• v.30 no.1
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• pp.8-19
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• 1988

The objective of the present study was to investigate the behavioral responses of sillkworm (Bombyx mori) larvae to: the dominant effect of walking distace: and the relationships between walking distance and the various economic characters on yellow sheets. The means of walking distances of progeny from F2 and F1 F1 and F2 generations, which was a hybrid between the long and the short walking distances, were shorter than those of parents. This may indicate that the genes for the short walking distances were partially dominant over those for the longwalking. Estimated broad sense heritability of larval walking distance was different for each larval instar, which fell into the range of 52∼84%. Genetic correlation was apparent between walking distances of all larval stages and some economic characters. The number of cocoons per liter and the period from incubation to emergence have shown the positive genetic correlation with walking distances. The cocoon yield, the sing cocoon weight, and the cocoon shell weight have shown to be in the negative correlation with walking distances. No correlation was observed between walking distances of the mature larvae and any economic characters. The analysis by the path coefficient showed negative direct effect of walking distances on the cocoon yield, and positive indirect effect on the single cocoon weight and the cocoon shell weight.

• Journal of Korea Foresty Energy
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• v.1 no.2
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• pp.20-27
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• 1981

Populus alba x glandulosa shows greater growth performance in the lower part of the hill than in the upper part. In order to study this reason, correlation between the soil factors and the growth was examined. The results were as follows. 1. Annual mean height growth was 1.29m in foot hill but 0.7m in upper part, showing 184$\%$ better growth in the foot hill than in the upper part and the similar situation was shown in the diameter growth. The longer slope distance, the better growth: generally the good growth shows in the first harf of the distance. 2. High positive correlation shows between the growth performance and soil moisture: r=0.76 in the hight and r=0.71 in the diameter, and also positive correlation between soil depth and the growth performance. r=0.65 in the height and r=0.79 in the diameter. On the other hand, negative correlation between the slope and soil depth are considered as limiting factors to the growth. 3. A significant correlation appeared between growth performance and organic matter and between the growth performance and total nitrogen as well. This shows that the nutrient elements were contained much in the foot hill. 4. The correlation between the height growth and potassium, and between the growth and calcium and pH were shown . 5. However, no correlation was shown between the growth and available phosphate, magnesium and available managanese .

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.9
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• pp.1583-1589
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• 2016

This paper proposes an improved spread spectrum time domain reflectometry (ISSTDR) using time-frequency correlation and reference signal elimination method in order to have more accurate fault determination and location detection than conventional (SSTDR) despite increased signal attenuation due to the long distance to cable fault location. The proposed method has a two-step process: the first step is to detect a peak location of the reference signal using time-frequency correlation analysis, and the second step is to detect a peak location of the correlation coefficient of the reflected signal by removing the reference signal. The proposed method was validated through comparison with existing SSTDR methods in open-and short-circuit fault detection experiments of low voltage power cables. The experimental results showed that the proposed method can detect correlation coefficients at fault locations accurately despite reflected signal attenuation so that cable faults can be detected more accurately and clearly in comparison to existing methods.

• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.195-200
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• 2008

The accuracy of classifying pixels in HIRIS images is usually degraded by noisy bands since noisy bands may deform the typical shape of spectral reflectance. Proposed in this paper is a statistical method for noisy band removal which mainly makes use of the correlation coefficients between bands. Considering each band as a random variable, the correlation coefficient measures the strength and direction of a linear relationship between two random variables. While the correlation between two signal bands is high, existence of a noisy band will produce a low correlation due to ill-correlativeness and undirectedness. The application of the correlation coefficient as a measure for detecting noisy bands is under a two-pass screening scheme. This method is independent of the prior knowledge of the sensor or the cause resulted in the noise. The classification in this experiment uses the unsupervised k-nearest neighbor algorithm in accordance with the well-accepted Euclidean distance measure and the spectral angle mapper measure. This paper also proposes a hierarchical combination of these measures for spectral matching. Finally, a separability assessment based on the between-class and within-class scatter matrices is followed to evaluate the performance.

• Geomechanics and Engineering
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• v.21 no.2
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• pp.153-164
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• 2020

Tunnel excavation in shallow soft ground conditions of urban areas experiences inevitable surface settlements that threaten the stability of nearby infrastructures. Surface settlements during shield TBM tunneling are related to a number of factors including geotechnical conditions, tunnel geometry and excavation methods. In this paper, a database collected from a construction section of Hong Kong subway was used to analyze the correlation of settlement-inducing factors and surface settlements monitored at different locations of a transverse trough. The Pearson correlation analysis result revealed a correlation between the factors in consideration. Factors such as the face pressure, advance speed, thrust force, cutter torque, twin tunnel distance and ground water level presented a modest correlation with the surface settlement, while no significant trends between the other factors and the surface settlements were observed. It can be concluded that an integrated effect of the settlement-inducing factors should be related to the magnitude of surface settlements.