• Journal of the Korean Institute of Gas
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• v.14 no.5
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• pp.26-31
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• 2010

This paper aims to analyze the effect of the introduction of new technology and education for gas safety on the prevention of gas accidents. For the purpose of a study, inspections, safety tests and training programs conducted by KGS were examined and the gas accident data, installation rate of safety devices and training, inspection data for last 20 years were also collected and then Multiple regression analyses were performed by using SPSS. The results showed that in both of City Gas and LPG system, the installation rate of fusecocks and training programs were statistically meaningful for reducing the gas accident rate.

• Progress in Superconductivity and Cryogenics
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• v.24 no.3
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• pp.24-29
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• 2022

One of the recent proposals with nuclear magnetic resonance (NMR) is a multi-bore NMR which consists of array of magnets which could present possibilities to quickly cope with pandemic virus by multiple inspection of virus samples. Low temperature superconductor (LTS) can be a candidate for mass production of the magnet due to its low price in fabrication as well as operation by applying the helium zero boil-off technology. However, training feature of LTS magnet still hinders the low cost operation due to multiple boil-offs during premature quenches. Thus in this paper, LTS magnet with low mechanical stress is designed targeting the "training-free" LTS magnet for mass production of magnet array for multi-bore NMR. A thorough process of an LTS magnet design is conducted, including the analyses as the followings: electromagnetics, mechanical stress, cryogenics, stability, and protection. The magnet specification was set to 4.7 T in a winding bore of 85 mm, corresponding to the MR frequency of 200 MHz. The stress level is tolerable with respect to the wire yield strength and epoxy crack where mechanical disturbance is less than the minimum quench energy.

• Bulletin of the Korean Chemical Society
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• v.32 no.11
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• pp.3865-3872
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• 2011

A quantitative structure-property relationship (QSPR) study was performed for the prediction of the absorption maxima of azobenzene dyes. The entire set of 191 azobenzenes was divided into a training set of 150 azobenzenes and a test set of 41 azobenzenes according to Kennard and Stones algorithm. A seven-descriptor model, with squared correlation coefficient ($R^2$) of 0.8755 and standard error of estimation (s) of 14.476, was developed by applying stepwise multiple linear regression (MLR) analysis on the training set. The reliability of the proposed model was further illustrated using various evaluation techniques: leave-many-out crossvalidation procedure, randomization tests, and validation through the test set.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.39-42
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• 2000

A bootstrap and aggregating (bagging) vector quantization (VQ) classifier is proposed for speaker recognition. This method obtains multiple training data sets by resampling the original training data set, and then integrates the corresponding multiple classifiers into a single classifier. Experiments involving a closed set, text-independent and speaker identification system are carried out using the TIMIT database. The proposed bagging VQ classifier shows considerably improved performance over the conventional VQ classifier.

• Structural Engineering and Mechanics
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• v.51 no.2
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• pp.299-313
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• 2014

In the first part of this paper, the influences of some of crack parameters on natural frequencies of a cracked cantilever Functionally Graded Beam (FGB) are studied. A cantilever beam is modeled using Finite Element Method (FEM) and its natural frequencies are obtained for different conditions of cracks. Then effect of variation of depth and location of cracks on natural frequencies of FGB with single and multiple cracks are investigated. In the second part, two Multi-Layer Feed Forward (MLFF) Artificial Neural Networks (ANNs) are designed for prediction of FGB's Cracks' location and depth. Particle Swarm Optimization (PSO) and Back-Error Propagation (BEP) algorithms are applied for training ANNs. The accuracy of two training methods' results are investigated.

• Korean Journal of Health Education and Promotion
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• v.17 no.2
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• pp.35-56
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• 2000

This study is research on physical health and mental health(physical and mental symptom at school) in perceived school environment among adolescents. The study subjects ere selected by senior high school students in seoul and random sampling. The 3,060 subjects were selected 18 schools. The duration for survey was for Nov. 25-Dec. 13, 1998. The reliability of Questionnaire was Cronbach's $\alpha=0.95$. This study used multiple regression through Factor Analysis in SPSS programs. The major findings of this study are as follows: (1) All of Multiple Regression Models were significant. (p<0.001). (2) Physical Mental health is related to gender, personal environment, and economic status. (3) Physical Health is related to perceived school environmental variable (therapeutic teacher-student relationships, classrom climate, and school life satisfaction) among adolescents. (4) Mental Health is related to perceived school environment variables(therapeutic teacher-student relationships, classroom climate, school life satisfaction, teachers' climate, and classmates' attitudes) among adolescents. This study could be used as the basis for the development of educational program, counseling, teacher in-service training, student teacher training and the establishment of educational and health policy.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.81-81
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• 2002

Classification is considered as one of the processes of extracting attributes from satellite imagery and is one of the usual functions in the commercial satellite image processing software. Accuracy of classification plays a key role in deciding the usage of its results. Many tremendous efforts far the higher accuracy have been done in such fields; training area selection, classification algorithm. Our research is one of these effort in different manners. In this research, we conduct classification using multiple satellite image data and evidential approach. We statistically consider the posterior probabilities and certainty in maximum likelihood classification and methodologically Dempster's orthogonal sums. Unfortunately, accuracy for the whole data sets has not assessed yet, but accuracy assessments in training fields and check fields shows accuracy improvement over 10% in overall accuracy and over 0.1 in kappa index.

• Korean Institute of Interior Design Journal
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• no.33
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• pp.90-98
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• 2002

The purpose of this study is total analysis which is satisfied factors to users to object of inservice training institute in large enterprise. Common factors are inservice training building, outer space and unit of abode. Those are deduced in the planing stage by important degree. Methods of statistical analysis are enforced by analysis of primary factor, correlation and multiple regression. The result of this shows a difference between important orders to users according to character of influenced factors of the inservice training building and abode.

• The Journal of the Acoustical Society of Korea
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• v.16 no.1
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• pp.104-109
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• 1997

This paper derives a new training alorithm for WHMM using the well-known MCE/GPD method with experimental results on the E-set. The derived algorithm generalizes the conventional adaptive training algorithm for WHMM, which means that HMMs of multiple competing classes can be trained at the same time. The recognition results on the E-set have shown about 15% and 12% improvement for training and test data, respectively.

• Physical Therapy Korea
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• v.4 no.1
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• pp.63-69
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• 1997

Asymmetrical posture during static stance has been identified as a common problem in persons with hemiplegia. This study examined the effect of a purposeful exercise training program on symmetrical weight bearing in three adult persons with hemiplegia. Multiple baseline design was used. The intervention program, including ball throwing and catching, rolling ball catching and throwing, and Swiss ball pulling and stopping was introduced for 15 minutes each day during each intervention phase. Quantitative measurement of the weight distribution was taken with the Limloader. Visual inspection and mean of data revealed a significant improvement in symmetrical weight distribution. This result suggests that a purposeful exercise training program can be effective in helping persons with hemiplegia achieve symmetric stances.