• Journal of Korean Home Economics Education Association
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• v.24 no.3
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• pp.73-88
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• 2012

The purpose of this study was to investigate the primary school students' and their mothers' vegetables preferences. Total of 360 students and their 360 mothers in Seoul and Gumi-si were participated in survey during July, 2011, and data of 253 students and their 253 mothers(70.3%) were analyzed by SPSS ver 12.0. The preference scores of mothers were higher than those of students in all kinds of vegetables examined, except bean sprout and laver. The preference scores of lower grader(2, 3 grade) were higher than higher graders(5, 6 grade), and those of female student were higher than male students. The preference accordance degree of students and their mothers were highest in seaweeds group, and lowest in root stalk vegetables. The onion, welsh onion, water dropwart, mustard kimchi were showed specially low student-mother preference accordance. Among the 50 vegetables investigated, all mother had chance to eat was 31 vegetables, and all students had chance to eat was 10 vegetables. The 3 kinds of seaweeds such as seastaghorn, ceylon moss and seaweed fusiforme were the foods that more than half of student had no experience to taste. Environmental variables, such as having the sibling, whether or not mother had job, the type of breakfast foods, and food and frequency of eating-out, all had no significant influences on vegetables preferences.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.16 no.1
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• pp.90-97
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• 2005

Objectives : The present study was conducted to investigate a correlation of ADS and KEDI-WISC measures. Methods : The data of 91 children were used. On KEDI-WISC, PIQ, VIQ, and 11 subtest measures, and on ADS, 4 variables (ommission error rate, commission error rate, response time mean, and response time deviation) were analyzed. Results : The correlations of Ommission Error Rate and Coding, Digit Span, and Arithmetic, the correlations of Commission Error Rate and Object assembly, Picture Completion, Arithmetic, Digit Span, and Coding, the correations of Response Time Mean and Coding, and the correlations of Response Time Deviation and PIQ, and Coding were significant. Conclusion : ADS variables and several IQ scores are significantly related.

• Culinary science and hospitality research
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• v.21 no.2
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• pp.154-170
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• 2015

In this study, the real state of local foods was examined targeting Gyeongju citizens to help in developing distinguishing foods and to promote cultural to excellence of local foods widely. Ultimately, this study aims to promote cultural excellence of Gyeongju's local foods widely by examining the kinds of local foods in Gyeonggju area. In addition, current study was conducted to provide basic data of local foods which inherit and develop our precious assets, in order to keep up with the Korean Wave as well as globalization. For this study, a survey was performed with the 274 sample of local food consumers, and analyzed the data using descriptive, cross tabulation analysis, and t-test. Results shown that Janchi guksu(banquet noodles) and Jeonbok juk(abalone rice porridge) obtained the highest awareness and preference when awareness and preference of Gyeongju local foods were analyzed depending on the marital status. Significant implication in the study is that there is a need to develop and promote local foods and open local food restaurants for local residents. More discussion and limitations are suggested.

• Journal of Nutrition and Health
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• v.43 no.5
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• pp.433-442
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• 2010

The study aim was to examine the effect of sensory responses of subjects after 6-month dietary sodium reduction with the aid of nutritional education. Fourteen female college students voluntarily restricted their sodium intake for 6 months, during which time they received nutritional education on the low sodium diet. As a control group, 10 students, whose anthropometric measurement, sodium intake behavior, and blood pressure were not different from those of the experimental group, were maintained on a normal diet. For the sensory responses of subjects, the salt taste perception and pleasantness for graded (0.15-1.3%) NaCl solutions were measured by a 9-point hedonic scale. The optimum sodium concentration, urinary sodium excretion, and blood pressure were measured. All the measurements were done at the beginning and end of the experiment. The sensory evaluation revealed an absence of any difference between the two groups in salt taste perception and pleasantness responses at the beginning. After 6-month adaptation, the experimental group subjects showed higher responses to low NaCl solution (0.15, 0.3, 0.5%) in salt taste perception and pleasantness evaluation while the control group subjects exhibited the opposite response. The optimum sodium concentration was reduced from 105.6 mmol to 80.7 mmol (p = 0.015) and the urinary sodium excretion was also reduced from 1,398 mg to 906 mg (p = 0.041) only in the experimental group. Systolic blood pressure was significantly reduced in the experimental group, although there was no correlation between the urinary sodium excretion and blood pressure. The optimum sodium concentration was negatively correlated with the urinary sodium excretion (r = 0.418, p = 0.053), indicating that adaptation to low sodium diet can reduce sodium intake. Further study on the individual responses of subjects on a low sodium diet by periodical evaluation may provide useful data for setting the duration needed to stabilize a lowered appetite for sodium.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6D
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• pp.849-856
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• 2011

This paper proposes a method for transforming unstructured text contents of engineering documents, which have complex hierarchical structure of subtitles with various heading symbols, into a semi-structured XML document according to the hierarchical subtitle structure. In order to extract the hierarchical structure from plain text information, this study employed a method of document structure extraction which is an analysis technique of the document structure. In addition, a method for processing enumerative text contents was developed to increase overall accuracy during extraction of the subtitles and construction of a hierarchical subtitle structure. An application module was developed based on the proposed method, and the performance of the module was evaluated with 40 test documents containing structural calculation records of bridges. The first test group of 20 documents related to the superstructure of steel girder bridges as applied in a previous study and they were used to verify the enhanced performance of the proposed method. The test results show that the new module guarantees an increase in accuracy and reliability in comparison with the test results of the previous study. The remaining 20 test documents were used to evaluate the applicability of the method. The final mean value of accuracy exceeded 99%, and the standard deviation was 1.52. The final results demonstrate that the proposed method can be applied to diverse heading symbols in various types of engineering documents to represent the hierarchical subtitle structure in a semi-structured XML document.

• Journal of Preventive Medicine and Public Health
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• v.28 no.4 s.51
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• pp.911-923
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• 1995

With increased use of neurotoxic agents in manufacturing industries, hazardous effects of neurotoxic agents pose significant problems in protecting health of workers who work in these industries. A normal range of neurobehavioral performance is required to study hazardous effects of neurotoxic agents among workers. However, such reference for Korean population is not available yet. The objective of this study is to estimate a normal range of neurobehavioral test performance of female workers in Korea. Data for neurobehavioral test performance developed by the World Health Organization were obtained from 165 female workers. Study subjects, 140 production workers and 25 clerks, who voluntarily participated in this study were not occupationally exposed to neurotoxic agents. The mean age and the mean education years of them were 32 years and 10.9 years, respectively Santa Ana dexterity, pursuit aiming, digit symbol, simple reaction time, and Benton visual retention tests among the Neurobehavioral Core Test Battery(NCTB) were included in the evaluation. Subjects were interviewed by a trained interviewer for their detailed occupational history $Mean({\pm}SD)$ performance of the participants were: $45.7{\pm}7.1\;and\;41.9{\pm}6.4$ in the Santa Ana dexterity test of the preferred and non-preferred hands; $45.7{\pm}7.1\;and\;41.9{\pm}6.4$ in correct dot of the pursuit aiming test; $57.7{\pm}16.0$ in the digit symbol test; $274.8{\pm}44.6$ msec in the mean simple reaction time and $70.5{\pm}69.0$ msec in the mean standard deviation of it; and $7.8{\pm}1.7$ in the Benton visual retention test. Most neurobehavioral performance scores were correlated significantly with age and educational level. Educational level was found to be a significant independent variable which was associated with all test scores. Age was significantly associated with scores of pursuit aiming and digit symbol tests.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.1 no.1
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• pp.55-64
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• 1990

The purpose of the present study is to investigate cognitive characteristics of ADHD children by comparing their performances on KEDI-WISC according to age and EEG variables. Subjects were 56 ADHD children who visited Seoul National University Children's Hospital during the period from January, 1988 to March, 1989. Group differences on age and EEG variables were tested by ANOVA, and Hierarchical Cluster Analysis was performed to investigate how ADHD children were classified based on their performances on KEDI-WISC. The results Indicated that ADHD children showed low scores on Coding, Digit Span, and Comprehension subtests, suggesting their attention deficits and impulsivity. ADHD children were clustered Into three groups based on only FSIQ. In post-hoc tests three groups showed different cognitive strengths and weaknesses on KEDI-WISC. Group differences on age were not significant, and abnormal EEG group showed lower PIQ than normal EEG group, suggesting the possibility that their attention deficits were related to neurological factors.

• Food Science of Animal Resources
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• v.29 no.1
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• pp.121-131
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• 2009

This study attempted to investigate the perception and usage status for meat products of dietitians in the food service business in Seoul and Gangwon province. 32.8% of dietitians decided the menu reflecting the taste of students. Most of the dietitians (89.2%) checked the manufacture date of the processed meat products when they were supplied. To address the question as to whether they could distinguish the difference among ham, pressed ham, and sausage, most of them answered; 'can distinguish a little' (47.5%) or 'can't distinguish' (36.7%). The most frequently provided processed meat products were ham (33.9%), followed by sausage (21.7%). However, it is assumed that the dietitians might have mistaken the pressed ham for the classic ham. The most common frequency of the serving processed meat product in the food services was once a month (41.6%). Most desired aspect of quality improvement for the processed meat products was answered as 'hygiene/safety' (31.5%), and followed by 'higher quality' (26%). In conclusion, the improvement of the product quality and the strengthening of public information would be prerequisites for expanding the use of processed meat products in the food services and business-to-business (B2B) market in the future.

• Archives of design research
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• v.18 no.3 s.61
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• pp.85-94
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• 2005

Most of product designers use 3D CAD system as a inevitable design tool nowadays and many new products are developed through a concurrent engineering process. However, it is very difficult for novice designers to get the sense of reality from modeling objects shown in the computer screens. Such a intangibility problem comes from the lack of haptic interactions and contextual information about the real space because designers tend to do 3D modeling works only in a virtual space of 3D CAD system. To address this problem, this research investigate the possibility of a interactive quantified structure simulation for product design using AR(augmented reality) which can register a 3D CAD modeling object on the real space. We built a quantified structure simulation system based on AR and conducted a series of experiments to measure how accurately human perceive and adjust the size of virtual objects under varied experimental conditions in the AR environment. The experiment participants adjusted a virtual cube to a reference real cube within 1.3% relative error(5.3% relative StDev). The results gave the strong evidence that the participants can perceive the size of a virtual object very accurately. Furthermore, we found that it is easier to perceive the size of a virtual object in the condition of presenting plenty of real reference objects than few reference objects, and using LCD panel than HMD. We tried to apply the simulation system to identify preference characteristics for the appearance design of a home-service robot as a case study which explores the potential application of the system. There were significant variances in participants' preferred characteristics about robot appearance and that was supposed to come from the lack of typicality of robot image. Then, several characteristic groups were segmented by duster analysis. On the other hand, it was interesting finding that participants have significantly different preference characteristics between robot with arm and armless robot and there was a very strong correlation between the height of robot and arm length as a human body.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.