• Journal of the Korean Home Economics Association
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• v.45 no.4
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• pp.113-122
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• 2007

The purpose of this study was to investigate weight control and the relative influence of individual variables affecting children's attempts to control weight. The study subjects were 319 elementary school children. First, the average body height and weight of the children who participated in this study was somewhat larger in boys and similar in girls, as compared with the normal body shape of Korean children. More boys were classified as overweight than girls, based on BMI. Both boys and girls were dissatisfied with their body shape, and especially the girls showed higher dissatisfaction rate than the boys did. Almost half of the children were concerned about weight control and girls had higher concern than boys. Of the children, 38.8% had controlled their weight; however there was no difference between their sexes. There were significant differences between children who had and had not experienced weight control in the following variables: stress caused by obesity, body satisfaction, BMI, subjective body shape perception and concern about weight control. Therefore, discriminant function analysis was performed to determine the discrimination of these variables between the two groups. From the analysis results, the most critical factor was BMI in the boys and concern about weight control in the girls. This finding should be reflected in the design of weight control programs for children i.e., boys should be encouraged to perceive correctly their own body shape and to control weight by maintaining a well-balanced diet and moderate exercise over a long period of time, rather than by skipping meals, while girls should be inspired with sound values and attitudes regarding their body shape, rather than provided with the concrete information on how to control weight.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.103-113
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• 2014

This study designed and implemented a query model for consecutive analyses of dynamic multivariate graph data. First, the query model consists of two procedures; setting the discriminant function, and determining an alteration method. Second, the query model was implemented as a query system that consists of a query panel, a graph visualization panel, and a property panel. A Node-Link Diagram and the Force-Directed Graph Drawing algorithm were used for the visualization of the graph. The results of the queries are visually presented through the graph visualization panel. Finally, this study used the data of worldwide import & export data of small arms to verify our model. The significance of this research is in the fact that, through the model which is able to conduct consecutive analyses on dynamic graph data, it helps overcome the limitations of previous models which can only perform discrete analysis on dynamic data. This research is expected to contribute to future studies such as online decision making and complex network analysis, that use dynamic graph models.

• Survey Research
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• v.7 no.2
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• pp.1-38
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• 2006

This study was conducted to develop a happiness index for Korean. 16 factors of happiness derived from both exploratory and confirmatory factor analysis based on a nationwide sample of 1503 Korean adults were reclassified into 3 components of Alderfer's need theory. The LISREL was used to measure the weight of each happiness factor. The results showed that happiness index was functioned by a formula(Happiness=2.5*existence+2.5*relationship+5*growth). Applying this formula, the average happiness score for Korean was 57.71. It was also demonstrated that the degree of happiness differed according to individual's gender, region, and income. Men was happier than women, while there was no significant difference among ages. As far as the region concerned, those who live in Seoul and Daejeon were happier than the others. People who earn over 2,500,000 won per month were happier than the others in terms of economic status. Finally, the result of the discriminant function analysis revealed that individual or psychological growth factor was more important than existence and relationship factors. Based on these significant research findings, practical implications and future research directions were discussed.

• Speech Sciences
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• v.10 no.4
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• pp.201-219
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• 2003

Background: The perceptual assessment is generally performed by the voice specialist. The objective evaluation is performed in a voice laboratory. Research in voice laboratories has generated a variety of different objective tests and parameters. The perceptual evaluation is one of the most controversial topics in voice research. Review of literature reveals a wide variety of rating scales and reliability data fluctuating from study to study. Unfortunately, there is no widely accepted valid method for classifying voice disorders and assessing outcome after voice treatment. Objectives: The goals of this research were to identify important objective acoustic parameters of vocal quality, and to establish an objective and quantitative correlate of the perceived vocal quality. Materials and Methods : We evaluated the voice analyzed data from 122 dysphonic patients and 20 normal volunteers. A computerized speech lab. 4300B(CSL) was used to carry out the analysis of each voice sample. Results: Three dysphonia severity indices(DSI) were created using discriminant analysis. DSI is based on the weighted combination of the following selected set of acoustic parameters: absolute jitter(Jita in us), smoothed pitch period perturbation (sPPQ in %), amplitude perturbation quotient(APQ in %), soft phonation index(SPI), average fundamental frequency(Fo in Hz), lowest fundamental frequency(Flo in Hz), and smoothed amplitude perturbation quotient(sAPQ in %). The DSI, being the discriminating rule calculated by the logistic regression, consists of three equation based on statistically significant acoustic parameters. Three DSI were created to reflects best the degree of hoarseness as expressed by G from the GRBAS scale. The more positive this DSI is for a patient, the worse the vocal quality. The more it is negative, the better it is. The effect of sex is included implicitly in the DSI-1 and DSI-2, so that a separate DSI-1 and DSI-2 for males and females need not be used. The DSI is objective because no perceptual input is required for its calculation. Conculsion : This research demonstrates that the voice function values calculated from three different multivariate objective dysphonia severity indices are significantly associated with subjective voice assessments. These multivariate objective dysphonia severity indices may be appropriate for use in clinical trials and outcomes research on treatment effectiveness for voice disorders.

• Korean Journal of Food Science and Technology
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• v.42 no.6
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• pp.676-681
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• 2010

Melamine has been used to increase the protein contents of powdered foods by adding a nitrogen source. Samples were prepared by blending melamine with powdered products such as powdered milk and coffee whitener. Melamine was added at ratios of 100:0, 80:20, 50:50, 30:70, and 0:100 (w/w), respectively. A Mass Spectrometry-based Electronic Nose and DFA (discriminant function analysis) were used to determine the amount of melamine. The electronic nose results were completely separated by the mixing ratios of melamine.

• Journal of Preventive Medicine and Public Health
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• v.22 no.1 s.25
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• pp.146-152
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• 1989

To test the validity of referral of high risk pregnancy in the MCH Center, 6,017 pregnant women who visited MCH Center of South District Health Center for delivery between 1 April 1985 and 31 March 1987 were interviewed on arrival to obtain the data for demographic characteristics and obsteric history and traced to check the delivery outcome. Out of 5,820 women whose delivery outcomes were confrmed, 704 women(12.1%) were referred to other hospital or clinic for high risk factors. The proportion of poor delivery outcome(stillbirth, low birth weight and neonatal death) among referred cases was 4.4% while that of the women delivered at the MCH Center was 2.2% (p<0.01). Decision of the midwives for the referral of high risk pregnancy based on their clinical assessment was consistent with the delivery outcome (good or poor) in 86.5%. Major reasons for referral were premature rupture of membrane(46.5%) and cephalopelvic disproportion(20.0%) and the C-section rates for these cases were 10.1%, 17.6%, respectively. Discriminant analysis of the demographic characteristics and obstertric history for the discrimination of delivery outcome showed that gestational age had the highest discriminant function coefficient(0.88) and it was followed by parity(0.37) and maternal education(0.30). Referral of high risk pregnancy by the midwives based on their clinical assessment was considered to be reasonably valid. However, a risk scoring system for an MCH Center which can improve the validity may be developed if one applies the discriminant analysis for more comprehensive independent variable(including clinical assessment of midwife, demographic characteristics and obstetric history) and dependent variable (including medically indicated C-section, complication of pregnancy and delivery, stillbirth, low birth weight, neonatal death and maternal death).

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.33-40
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• 2003

Criticality prediction models that determine whether a design entity is fault-prone or non fault-prone play an important role in reducing system development costs because the problems in early phases largely affect the quality of the late products. Real-time systems such as telecommunication systems are so large that criticality prediction is mere important in real-time system design. The current models are based on the technique such as discriminant analysis, neural net and classification trees. These models have some problems with analyzing causes of the prediction results and low extendability. This paper builds a new prediction model, GAM, based on Genetic Algorithm. GAM is different from other models because it produces a criticality function. So GAM can be used for comparison between entities by criticality. GAM is implemented and compared with a well-known prediction model, BackPropagation neural network Model(BPM), considering Internal characteristics and accuracy of prediction.

• Proceedings of the Korean Association for Survey Research Conference
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• 2002.06a
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• pp.8-34
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• 2002

This paper is concerned with evaluating the fidelity of a non-cognitive test adaptation for use in multiple languages and cultures using two differential item functioning(DIF) techniques: (a) PSIBTEST, and (b) Logistic Discriminant Function Analysis(LDFA). In particular, this study focused on how DIF research can best be extended to the problem of evaluating the equivalence of tests across cultures and languages. The Sixteen Personality Factor (16PF) questionnaire was administered in English to 844 American college students and in Korean to 538 Korean college students. This study attempted to identify the best matching criterion for the translated tests by using both a multivariate matching technique and iterative purification process. The results generally showed a small number of DIF items on each scale, except for scales A and N where about half of the items showed DIF. The choice of matching variables based on a combination of internal measures appeared to have little effect and the iterative purification method was unsuccessful. Finally, the results were discussed and methodological implications were also presented.

• Food Science and Preservation
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• v.21 no.2
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• pp.224-230
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• 2014

Brazil (Monte Alegro) and Ethiopia (Sidamo) coffee beans were roasted at three different roasting levels(light, medium, and dark), and were analyzed for color, total phenolic compound, caffeine, and chlorogenic acid contents. The total phenolic and caffeine contents remained unchanged during roasting. The chlorogenic acid levels of the Brazil and Ethiopia samples decreased with roasting. The antioxidant activities were measured using DPPH and ABTS. The radical scavenging activities of the light-roasted and dark-roasted coffee beans were similar. The flavor patterns of roasted coffee beans were analyzed using an electronic nose system based on gas chromatography. The data revealed that the flavor patterns of the roasted coffee beans could be separated via discriminant function analysis (DFA) method. The taste of the roasted coffee beans was analyzed using an electronic tongue system. The sourness and sweetness were decreased with roasting.

• Korean Journal of Soil Science and Fertilizer
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• v.47 no.4
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• pp.275-283
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• 2014

The ${\gamma}$-oryzanol, ferulic acid esters, which are well-known for their function on cholesterol lowering and prevention of inflammation, diabetes and cancer, are found in the seeds of cereal crops such as rice, corn, wheat and rye. Among them, rice has been reported to contain the highest ferulic acid esters. Since rice cultivation with green manure as a N source is an environmental friendly agricultural practice, it is necessary to identify and quantify as well as evaluate the variations in these compounds in rice samples as affected by different green manure conditions. A total of ten components of ${\gamma}$-oryzanol were isolated and cycloartenyl ferulate, 24-methylenecycloartanyl ferulate, campesteryl ferulate and sitosteryl ferulate were identified as the major components in Korean rice cultivars, 'Unkwang' and 'Hopum'. Comparing the ${\gamma}$-oryzanol contents of these varieties, 'Unkwang' showed clearly similar pattern with conventional type. With the PLS-DA (partial least squares of discriminant analysis) using SIMCA 11.0 ver., the specific pattern and cluster of ${\gamma}$-oryzanol scores with green manure conditions were confirmed, and thus distinguishing green manure effects were possible.