• Journal of Ocean Engineering and Technology
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• v.20 no.3 s.70
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• pp.54-60
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• 2006

For optimal design of a deep-sea ocean mining collector system, based on self-propelled mining vehicle, it is imperative to develop and validate the dynamic model of a tracked vehicle traveling on soft deep seabed. The purpose of this paper is to evaluate the fidelity of the dynamic simulation model by means of response surface methodology. Various statistical techniques related to response surface methodology, such as outlier analysis, detection of interaction effect, analysis of variance, inference of the significance of design variables, and global sensitivity analysis, are examined. To obtain a plausible response surface model, maximum entropy sampling is adopted. From statistical analysis and prediction for dynamic responses of the tracked vehicle, conclusions will be drawn about the accuracy of the dynamic model and the performance of the response surface model.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.183-199
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• 1996

The objective of this study was to provide fundamental data on somatotype for elderly women by classifying the somatotype and analysing the 3 characteristics of their somatotype. The subject were 368 women of 60~84 years old, they were analyzed indirect photography. To find out differences among the age groups, the 368 subjects were grouped into two age groups (Group 1 ; age 60 to 69, Group 2 ; aged 70 to 84). Data were analyzed using Factor analysis, Cluster analysis, duncan test and Analysis of variance. Through the factor analysis, 27 items from photometric measurements respectively. Cluster analysis was applied for classification of somatotype. The results of this study were as follows. 1. The characteristics of Elderly women's somatotype were bending of the upper-torso, fatness of the waist and abdomen, drooping of the bust and shoulder and hip. In addition, height, girth, depth and width items were decreased in their sizes respectively. 2. The characteristics of clusters were as follows. Type 1 was straight somatotype in which the plumb line through tragion, the bust depth and under bust depth region laterally. Type 2 was swayback somatotype in which the upper portion of protruding point on the back was bent forward but the lower portion of protruding point had a characteristics of turning over somatotype. Type 3 was bending somatotype. Namely, this type was shorter than average and below the average fatness. Generally, the lateral view silhouette of elderly women was the straight type and changed into bending type as the age increases.

• Korean Journal of Remote Sensing
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• v.22 no.5
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• pp.397-402
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• 2006

China Coastal Water (CCW) usually appears in the seas surrounding Jeju Island annually (June-October) and is very pronounced in August. The power spectrum density (PSD), sea level anomalies (SLAs), and sea surface temperatures (SSTs) were found to peak annually and semiannually. The peaks at intervals of 80-, 60-, and 43-days are considered to be influenced by CCW and the Kuroshio Current. Generally, low-salinity water appears to the west of Jeju Island from June through October and gradually propagates to the east, where CCW meets the Tsushima Current. Empirical orthogonal function (EOF) analysis of SLAs and SSTs indicated that the variance in SLAs and SSTs was 55.70 and 98.09% in the first mode, respectively. The PSD for the first mode of EOF analysis of SLAs was stronger in the western than in the eastern waters because of the influence of CCW. The PSD for the EOF analysis of SSTs was similar in all areas (the Yangtze Estuary and the waters to the west and east of Jeju Island), with a period of approximately 260 days.

• Design & Manufacturing
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• v.17 no.2
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• pp.62-69
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• 2023

In this study, we conducted a study on the optimization of injection molding conditions to minimize deformation of plastic product. The charging management system housing of the vehicle was selected as the research subject. Melting temperature, cooling temperature, packing time, and packing pressure were selected as the main factors expected to affect the deformation of molded products. Each main factor was divided into 5 levels. Optimization of injection molding conditions to minimize deformation was performed using the Taguchi Method. We performed an analysis of variance (ANOVA) to identify significant factors affecting the deformation of plastic product. In order to select injection molding conditions that minimize deformation of plastic products, injection molding analysis was additionally performed for insignificant factors. We then compared the deformation of the molded part before and after optimization. As a result of comparing the injection analysis results of the basic conditions and the injection analysis results of the optimal conditions, it was confirmed that the amount of deformation after optimization was improved by about 10.9%.

• Journal of the Korean Society of Costume
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• v.26
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• pp.279-288
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• 1995

The objective of the study was to provide fun-damental data on somatotype for elderly women by classifying the somatotype and analyzing the characteristics of their somatotype. The subjects were 368 women ages of 60∼84, they were measured direct anthropometry. In or-der to find out differences among the age groups, the 368 subjects were grouped into two age groups(Group 1 aged 60 to 69, Group 2 ; aged 70 to 84) Data were analyzed using Factor analysis, Cluster analysis, Duncan test and Analysis of variance. The results of this study were as follows. 1. The characteristics of Elderly women's somatotype were bending of the upper-torso, fat-ness of the waist and abdomen, drooping of the bust and shoulder and hip. In addition, height, girth, depth and width items were decreased in their sizes respectively. 2. Through the factor analysis, we extracted 5 factors from anthropometric measurements. Factor components were obesity, height, girth of the leg and arm, length of the upper-torso except the center front length, the center front length, we categorized by 4 clusters using 5 factor scores. And after the cluster analysis using 5 factor scores, 4 clusters were categorized. The characteristics of clusters were as follows. Type 1 was characterized by short, obesity type, and droopy bust. Type 2 was characterized by short and slender type, dropped bust, and bending somatotype from the lateral view. Type 3 was characterized by middle sized and straight somatotype from the lateral view. Type 4 was characterized by tall and obese type from the lateral view.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.4
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• pp.165-179
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• 2019

This study used 3D body scan data to classify body shapes according to the torso shape of adult males aged 20-75 years. This data will be provided so that the apparel industry can make apparel products corresponding to body characteristics by age. The study used 1,796 adult males between the ages of 20 and 75 and the 3D body shape data of the '5th Research on National Standard Anthropometry'. For data analysis, the program SPSSWIN Ver. 17.0 was used to calculate the mean and frequency allowing for a factor analysis, cluster analysis, analysis of variance, and Duncan test. To classify body shape according to the torso shape of adult males, this study considered nine factors: 'horizontal size of torso,' 'vertical size of body,' 'curve of torso and waist-abdomen flatness ratio,' 'length of torso,' 'shape of neck area,' 'degree of lateral curve,' 'difference between front and back interscye length,' 'shoulder armscye shape,' and 'chest flatness ratio.' Based on the results of the factor analysis, the torso shapes of adult males were classified into five types. Type 1 is "upright body with flat, curvy shape", Type 2 is "curve sway back body type", Type 3 is "flat, abdominally obese body", Type 4 is "obese, crooked body" and Type 5 is "thick sway front body type." named.

• Korean journal of food and cookery science
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• v.18 no.1
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• pp.63-72
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• 2002

This study was conducted to (a) investigate the frequency of Korean beverage consumption, (b) analyze the characteristics of socio-demographically classified group according to drinking frequency, (c) investigate the attitude for and awareness of Korean beverage and (d) analyze the factors which influence Korean beverage consumption. The survey was carried out by self-administered questionnaires with 2,200 subjects residing in Seoul. A total of 1,885 samples were used for analysis by using t-test, one way analysis of variance (ANOVA), Duncan's multiple comparison test, factor analysis, and analysis of covariance (ANOCOVA) with SAS computer program. Among various Korean beverage, Donggulre tea was consumed most frequently at an average of 7.4 times per month, and followed by rice beverage, Mi Su, Citron tea, Shick Hae and canned Shick Hae. Among the age groups, the group of 20s showed the lowest frequency of Korean beverage consumption exempt rice beverage. According to occupation group, middle and high school and college student groups showed a high frequency of consumption of cereal based drink such as rice beverage, Mi Su and Yulmu tea. The behavior examination aimed at learning the perceptions relevant to the choice of beverage showed that the subjects believe Korean beverage healthful and nutritious but not familiar through advertisement, not easy to buy, and not to be a habitual drink. The factors influencing the frequency of Korean beverage consumption were shown as health-related factors and habitual/practical factors.

• Journal of Life Science
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• v.7 no.1
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• pp.59-65
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• 1997

In this experiment, gene actions were analysized for seven barley parents in order to obtain basic information on their genetic improvement by diallel crosses. The results obtained were summarized as follows. In analysis of variance, additive, dominant, maternal and reciprocal effects were observed significantly for culm length, tiller number, number of spiked per plant, culm diameter, awn length, leaf width, number of grains per spike, and 1000 grain weight. Over-dominance was shown by Vr-Wr graphic analysis in five characters such as tiller number, number of spikes per plant, length of flag leaf, number of grains per spike, and 1000 grain weight, and partial dominance in four characters such as culm length, culm diameter, awn length, and leaf width. Component of genetic varience analyzed for four characters such as culm diameter, awn length, length of flag leaf, and leaf width showed that additive effects were higher than dominant effects. Culm length, tiller number, number of spikes per plant, number of grains per spike, and 1000 grain weight showed dominant effects higher than additive effects. The narrow-sense heritability for awn length, leaf width, and number of grains per spike showed high values as more than 0.62, while broad-sense heritability for culm length, number of spikes per plant, culm diameter, awn length, leaf width, number of grains per spike, and 1000 grain weight showed high values as more than 0.65.

• IE interfaces
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• v.9 no.1
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• pp.13-24
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• 1996

Quality of injection molded parts is dependent on both mold design and processing conditions. From the mold design point of view, an optimal shrinkage should be used to compensate the shrinkage of molded parts. From the processing point of view, it is important to analyze the priority of processing conditions because a number processing conditions affect the quality of molded parts. Processing analysis employing the design of experiment was performed, and the shrinkage of molded part was considered as a characteristic parameter to improve the quality. As the result of the analysis of variance on SN ratio of a characteristic value, injection speed and bolding pressure were selected as two effective process parameters. Regression analysis on shrinkage and processing conditions was carried out, and an optimal processing condition was obtained by the response surface analysis. Shrinkage at the optimal condition could be used to reduce the number of try-cut at the step of mold making. The ranges of indirect control parameter, such as maximum cavity pressure or weight, measured at the optimal processing condition were used for monitoring the quality of molded parts in process.

• Architectural research
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• v.2 no.1
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• pp.17-25
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• 2000

The purpose of this study was; 1) to describe consumer preferences for wood~framed housing; 2) to determine factors which affect the preferences for housing environments in wood-framed housing by demographic, current housing, and wood-framed housing-related characteristics; and 3) to identify differences in preferred wood-framed housing related characteristics by demographic and current housing characteristics. From the visitors to a model wood-framed house in Seoul, Korea, 296 persons willing to live in a wood-framed house were selected as the sample for the study. Data were collected using a self-administered survey and analyzed by frequency distribution, factor analysis, chi-square test, t-test, and one-way analysis of variance procedures. The results of the study Indicated that among seven factors based on 32 housing characteristics, Factor 2 - "floor plan and Interior environment" was the major variable which showed significant difference by selected demographic characteristics. Regarding the differences in wood-framed housing related characteristics by demographic characteristics, age, gender, education, and family life cycle showed group differences. Also, housing type was the major current housing characteristic to provide significant group difference in preferred wood-framed housing characteristics.