• Journal of Aerospace System Engineering
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• v.9 no.2
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• pp.63-71
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• 2015

An aircraft engine is considered as the most important element among aircraft systems. Thus type certificate is required for an aircraft engine to ensure its safety under appropriate airworthiness standard. U.S. FAR Part 33 or European CS-E is widely adopted as an airworthiness standard for aircraft engines, and other representative countries of the world established own airworthiness standards under their regulations. In this paper, we compared differences of the requirements between FAR Part 33 and CS-E, and proposed the rulemaking items to harmonize Korean Airworthiness Standard for Aircraft Engines with worldwide standards and to contribute to growth of aviation industry.

• Speech Sciences
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• v.15 no.2
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• pp.119-129
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• 2008

The purpose of this study were to develop short form versions of MacArthur-Bates Communicative Development Inventories - Korean and to discuss clinical implications. Two short versions were developed: one for $9\sim17$ month-olds(including 69 words and 17 object manipulation skills) and the other for $18\sim35$ month-olds (including 128 words and 5 grammatical items). Short versions seemed to be representative of full versions and showed developmental validity. Short versions showed concomitant validity with SELSI which is a standardized test for Korean children under 37 month-olds. Norm tables for words and criteria for object manipulation and grammaticality are also provided. M-B CDI-K short versions could be used as a preliminary screening tool to identify Korean children with language impairment economically and efficiently. Cautions using short versions of M-B CDI-K are discussed.

• Journal of Korean Elementary Science Education
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• v.24 no.1
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• pp.59-67
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• 2005

The purpose of this study is to investigate the elementary school students' perceptions of scientist and socio-cultural background towards science. Subjects are 120 ordinary students of elementary school and 75 participators in invention club and science camp for talented students in a metropolitan city. A questionnaire for investigating the students' perceptions and Images about scientist was developed. That contains the items for socio-cultural background and experiences towards science. The results of this study showed that the elementary students think scientist is younger than the previous students thought. But as yet, the representative image of scientist is the neat man with glasses and gown. Also, a majority of elementary students like science, science subject and science classroom, especially experiment activity. They have various experiences related in science.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.655-656
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• 2022

Among the analysis methods for a recommendation system, collaborative filtering is a major representative method in a recommendation system based on data analysis. A general usage method is a technique of finding a common pattern by using evaluation data of users for various items, and recommending a preferred item for a specific user. Therefore, in this paper, various algorithms were used to measure the index, and an algorithm suitable for prediction of user preference was found and presented.

• Journal of Nutrition and Health
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• v.30 no.10
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• pp.1244-1257
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• 1997

The goals of the School Lunch Program(SLP) are to provide school children with approximately one -third of their daily nutrition requirements at a reasonable price, to foster good food habits, and to contribute to a better understanding of nutrition. In order to provide guidelines and appropriate nutritional information for SLP planning, and to identify inexpensive sources of each nutrient, representative SLP menus were analyzed for nutrient density using the Index of Nutritional Quality(INQ) and for nutrient cost. Recipes and prices of 776 meals were collected from 10 SLP primary schools in Seoul and Kyunggi province in Korea during 1995. From 4829 menu items in 776 meals, the 100 most frequently used menus were selected as representative SLP menus. From these 100 menus, eleven categories of menu were identified according to cooking methods and ingredients. Selected menus were placed into these 11 groups, with 3 to 5 menus in each except the milk group which contained only milk. The mean nutrient content, INQs, and nutrient-cost ratios were calculated for each menu and menu group. Among the 100 representative SLP menus, 'Jiajang-rice' contained the highest energy per serving portion. 'Grilled pollack ' was the highest in protein, 'Seasoned spinach ' in vitamin A, 'Spagehetti' in vitamin B1 , niacin and iron, 'Kongjorim'(hard-boiled bean with sauce) in vitamin B2 , strawberry in vitamin C, and 'fish stew ' and milk in calcium. Among the 11 menu groups, the 'One-dish' group was found to be the highest in energy , protein, vitamin A, B$_1$ and iron. The milk group was a good source of vitamin B$_2$ and calcium . The meat side dish group (panbroiled, fried or steamed )was the most suitable for providing niacin. The fruit group provided the highest level of vitamin c per portion. The nutrient densities(INQs) were found in the soup group (protein), Kimchi group(vitamin A), fruit group(vitamin B$_1$ and C), milk group(vitamin B$_2$ and calcium), stew group(niacin )and vegetable side dish group(energy, protein, vitamin B$_1$ and niacin) , vegetable side dish group(vitamin A), milk group(vitamin B$_2$ and calcium) , fruit and Kimchi groups(vitamin C), and stew group(iron). This information should be useful for school dietitians in planning most nutritious SLP menus with limited budgets. It could also be used for basic guidelines in nutrition education, and for future improvement of the SLP in Korea.

• Korean Journal of Community Nutrition
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• v.28 no.3
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• pp.235-244
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• 2023

Objectives: Based on the results from the Korean Total Diet Study (KTDS), the sodium (Na) and potassium (K) intake of Koreans were estimated and compared with intake estimates from the Food & Nutrient Database (FNDB), as in the Korea National Health and Nutrition Examination Survey (KNHANES) to verify the validity of these estimates. Methods: One hundred and thirty-four representative foods (RFs) covering 92.5% of the total food intake of Koreans were selected, and 228 pairs of corresponding 'RF x representative cooking method' were derived by reflecting the methods used mainly in terms of frequency and quantity in their cooking. RF samples were collected from three cities with a larger population size in three regions (nine cities) nationwide, and six composite samples were made for each RF, considering its regional and/or seasonal characteristics. One thousand three hundred and sixty-eight 'RF x representative cooking method' pair samples were prepared, and the Na and K contents were assessed using inductively coupled plasma atomic emission spectrometry (ICP-MS). The Na and K intake of the Korean population was estimated by linking the content with the food intake data from the 7th KNHANES. Results: The mean Na and K intake of Koreans were 2,807.4 mg and 2,335.0 mg per person per day, respectively. A comparison with the Na and K intake from KNHANES, including only RFs of KTDS, showed comparable results with less than 5% variation. While the contribution and ranking of food items to Na intake were similar between KNHANES and KTDS, there were differences in K intake. This was attributed to the large discrepancies in the K content of rice and coffee between KTDS results and the values in the 9th Revision of the National Food Composition Table used in KNHANES. Conclusions: The Na and K intake of Koreans estimated based on the KTDS, which performed nutrient analysis on samples prepared to a 'table-ready' state using foods of the representative collection, was similar and comparable with that of KNHANES. This supports the validity and usefulness of FNDB-based nutrient intake estimation at the population level. The list of nutrients studied in KTDS is expected to be expanded, allowing for intake estimation of nutrients with currently insufficient or absent information in the FNDBs in use.

• Journal of Fashion Business
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• v.12 no.4
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• pp.56-72
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• 2008

The purpose of this study was to provide with the useful fundamental data by developing the appearl sizing system according to body types for the Women's Wear Specifications(GB/T 1335.2-1997), National Standards of People's Republic of China. Thus, it was to improve of the garment fit and coverage rate for the apparel production assortment and stock of exporting domestic clothing to China. For this study, 581 female women aged in their twenties who lived in Beijing and Shanghai were selected for the development of the apparel sizing system who resident in Beijing and Shanghai in China. As for the method of this study was made three primary items(length, bust girth, waist girth) and seven secondary items. Data analysis were processed by SPSS WIN 10.0 Program was used. The research selected 3 major body measurements, such as stature, bust girth, waist girth and 7 secondary measurements to investigate the body features of the Chinese adult women. The data throughout the study were analyzed by using SPSS WIN version 10.0 S/W. The result were as follows: The clothes dimensions for upper and lower body and the coverage rate of body size that had the highest appearance ratio from the selected age group in 20's were: Y-type 160-84 155-64(5.9%) and the section 160cm 22.6%, A-type 160-80 160-62(39%) and the section 160cm 27.9%, B-type 155-80 155-66(6.2%) and the section 160cm 24.7%. The representative size codes of the Chinese adult women aged in their 20's were set for representing certain body dimensions such as 150-76A 150-60A(0.0%), 155-80A 155-64A(2.4%), 160-84A 160-68A(3.9%), 165-88A 165-72A(0.3%), 170-92A 170-76A(0.0%). The production coverage rates for the each representative size codes were S size the section 150cm 1.5%, M size the section 155cm 15.3%, L size the section 160cm 36.0%, XL size the section 165cm 29.7%, XXL size the section 170cm 11.4% that covered 93.9%.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

• Journal of The Korean Association For Science Education
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• v.33 no.6
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• pp.1186-1201
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• 2013

We investigated student's characteristics in each educational achievement level using the results of the NAEA (National Assessment of Educational Achievement) in 2009, 2010, and 2011 for Grade 6 students, and compared the characteristics between elementary and middle school students. The analysis of representative items for each educational achievement level of elementary and middle school students revealed that (a) advanced level students from both elementary and middle school could exactly understand the achievement criteria of the curriculum, (b) proficient level students from both elementary and middle school were understanding the achievement criteria of the curriculum superficially, for example, they could not understand concepts exactly but could memorize terms, and so should have compensational education under situations that ask for short answer or essay type items instead of multiple choice items, and (c) basic level students from both elementary and middle school almost could not understand the achievement criteria of curriculum, and so should have compensational education under situations that only deal with a simple situation. Science concepts treated in science curriculum are hierarchically organized by level of school, and simple compensational education for the students of below basic level will not solve learning deficits in science education. Differentiated education by educational achievement should be largely expanded instead.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.771-781
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• 2006

This Study is about the development of LCC Analysis Model and Evaluation of VE. It was carried out to help the person's intention decision about choosing the pavement construction method that can deal with 'Pavement Life Factor' like Area Character and Traffic Volume efficiently, by considering the total life cycle cost of pavement life cycle happens according to the numbers of public use year. For this, we developed the new LCC Analysis Model by using the Data of Seoul city the representative city in Korea, and carried out VE Evaluation that reflects the opinions of specialists. This Analysis Model consists of cost items that affects directly the choice of pavement construction, except for the common cost items of the various pavement construction. And we investigated the propriety by applying our model to the example line that are used for the public at present. About the base data of cost items that are used for our analysis, we enhanced our model's confidence by using the statistics data of Seoul and the standard data of unit cost calculation.