• Journal of The Korean Association For Science Education
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• v.29 no.2
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• pp.168-178
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• 2009

In this study, we investigated the errors that students committed in the processes of constructing graphs on experimental results by the students' science achievement level. A test of constructing a graph about 'the relationship between the pressure and volume of a gas' was administered to 7th graders (N=145). Results revealed that most students committed errors in the processes of constructing the graph, showing 12 error types in the categories of 'Misinterpreting the variables', 'Mismarking the graphical elements', and 'Misusing the data'. The students in the lower achievement level had more errors than those in the higher achievement level in the two error types, that is 'representing the bar graph' and 'marking the scale in the presented data order', but the results were reversed in the three error types, that is 'marking the independent variable and dependent variable reversely', 'adding the data', and 'neglecting the data'. In the other error types, there were little differences in the frequencies of the errors by students' science achievement level.

• The Research Journal of the Costume Culture
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• v.28 no.5
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• pp.639-651
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• 2020

This study utilized data to classify and characterize the body types of plus-size adult men aged in their 30s and 40s. Diversity is an important factor in the era of inclusive design, and discussion about size diversity to include the plus size should be accommodated. Data from 493 adult men classified as obese (with a World Health Organization criterion ≥25 BMI) were used for the analysis. The results of the study are as follows. Six independent factors were extracted using factor analysis for cluster analysis, which were then classified into five types. Type 1 (29.01%) was identified as body type I with the smallest degree of obesity. Type 2 (15.4%) was identified as body type Y with wide shoulders and a thin waist. Type 3 (14.2%) was the largest body volume (body type O), while the fourth (19.27%) identified as body type H has a large height and upper body. Lastly, type 5 (22.11%) has a long lower body and a slim abdomen, referred to as body type X. This study presents a basis for the development of various clothing sizes utilizing the body shape characteristics of plus-size men in their 30s and 40s. Follow-up research is needed to develop patterns for plus size men and to design various products.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1075-1094
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• 2013

This study analyzed the lower body type of women aged 20 to 30 to understand their respective characteristics. The research method was restricted to the use of direct measurements data and 3D measurements data of the Sixth Size Korea. Factor analysis, cluster analysis, ANOVA, Duncan's test, discriminant analysis, t-test, and ${\chi}^2$-test were performed for the statistical analysis of the data using SPSS Win 20.0 program. The results of this study are as follows. Lower body type based on 3D measurements were classified into 3 types (obese lower body, long lower body, and small lower body). Lower body type based on direct measurements were classified into 3 types (obese lower body, thick and long lower body, and small lower body). Lower body type based on the direct measurement of sitting pose were classified into 3 types (obese lower body, long and thin lower body, and short lower body). The age differences in the lower body types could be analyzed by an evaluation of the 3D simulation of the lower body.

• International Journal of Clinical Preventive Dentistry
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• v.14 no.4
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• pp.241-246
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• 2018

Objective: This study was performed to verify how DISC behavior patterns affect the major satisfaction and professionalism of dental hygiene students and provide basic data for dental hygiene students to have increased major satisfaction and maximize their strength by understanding their DISC behavior pattern. As a result, the following conclusion was obtained. Methods: The data was collected From November 1, 2018 to November 14, 2018, 218 dental hygiene students. Data was collected using self-reported questionnaires. Statistical analysis was performed with IBM SPSS ver. 21.0. Mean (standard deviation) and one-way ANOVA & pearson correlation were performed. Results: The most frequent DISC behavior patterns of dental hygiene students was steadiness types (49.0%) followed by influence types (34.5%), conscientiousness types (9.0%), and dominance types (7.5%). There were no significant difference in professionalism and major satisfaction according to DISC behavior patterns in dental hygiene students. There was a correlation between major satisfaction and professionalism of dental hygiene students. Conclusion: In conclusion, in order for dental hygiene students to establish positive professionalism through increased major satisfaction, it is necessary to make various efforts such as providing consultation and education that corresponds to each student's DISC behavior patterns. These efforts will provide the students career vision and encourage them to improve their academic achievement and find employment that fits their vocational aptitude.

• Journal of Sport and Applied Science
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• v.7 no.3
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• pp.13-18
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• 2023

Purpose: The purpose of this study is to explore corporate types more suitable for domestic professional soccer citizens' club and to provide comprehensive insights for corporate type decision-making in the process of establishing and operating new city and citizens' club. Research design, data, and methodology: A Delphi survey was conducted on 12 experts with a high understanding of the research topic and expertise. Data were collected through two Delphi rounds, and for data analysis, frequency standard deviation, average ranking, and consistency coefficient were employed. Results: First, from the perspective of operating, it was found to have advantages in the order of autonomy, responsibility, continuity, connection. Second, from the perspective of operating the foundation, it was found to have advantages in the order of public interest, transparency, management, responsibility. Third, as a result of comparing the types of corporations and foundations of professional soccer citizens' club, it was found that there was relatively little difference. Conclusions: Since professional soccer citizens' club must pursue the nature of public goods and profitability as professional sports at the same time, various considerations are needed, long-term plans are established, and corporate types of professional soccer citizens' clubs are needed.

• Journal of Engineering Education Research
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• v.27 no.4
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• pp.3-11
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• 2024

This study classified domestic and international systems by type, presenting their key features and examples, with the aim of outlining future directions for system development and research. AI-based learning assistance systems can be categorized into instructional-learning evaluation types and academic recommendation types, depending on their purpose. Instructional-learning evaluation types measure learners' levels through initial diagnostic assessments, provide customized learning, and offer adaptive feedback visualized based on learners' misconceptions identified through learning data. Academic recommendation types provide personalized academic pathways and a variety of information and functions to assist with overall school life, based on the big data held by schools. Based on these characteristics, future system development should clearly define the development purpose from the planning stage, considering data ethics and stability, and should not only approach from a technological perspective but also sufficiently reflect educational contexts.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.1
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• pp.1-8
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• 2011

This aim of the study is to investigate the plan and elevation types of existing way stations built in the early 20th century Korea, focused on Choong-ang, Donghae-nambu, and Kyung-jeon line of the railroad tracklines. The plans and elevations are drawn up and analyzed based on literature data and aerial photographs through the survey. These way stations are classified into various types by room layout and front elevation. The basic plan types are composed of waiting room, station service room, and administration. The station service room has a train operation room in the projecting part of corner. This room has windows on every side to see in and out of train. There are the enlarged, extended waiting room types, and linear types in the other plan types. The waiting room is lied on the right side, and has a gable roof in elevation. The elevation types are classified with side and centralized, and so on by the placement and shape of gable roofs. The basic elevation types have gable roofs in sides lied on the waiting room, and these types are transformed into centralized types by extension of waiting room The others are the linear types without gable roofs and the unusual roof types in appearance.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.19-24
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• 2023

Recently, with the recent rapid development of memory technology, various types of memory are developed and are used to improve processing speed in data management systems. In particular, NAND flash memory is used as a main media for storing data in memory-based storage devices because it has a nonvolatile characteristic that it can maintain data even at the power off state. However, since the recently studied memory-based storage device consists of various types of memory such as MRAM and PRAM as well as NAND flash memory, research on memory management technology is needed to improve data processing performance and efficiency of media in a storage system composed of different types of memories. In this paper, we propose a memory mapping scheme thought technique for efficiently managing data in the storage device composed of various memories for data management. The proposed idea is a method of managing different memories using a single mapping table. This method can unify the address scheme of data and reduce the search cost of data stored in different memories for data tiering.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.299-317
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• 2014

The objective of this study is to analyse the college students' Internet information activities and life satisfaction with their personality types. For this study, data were collected using self-designed questionnaire which included the items of college students' demographic information, MBTI personality types, and their information activities of the Internet. Total of 480 data were collected and 102 valid data were analysed with the multiple regression using SPSS version 18.0. It was found that extraversion, sensing, thinking, and feeling types of college students were tend to show the higher of their life satisfaction through the online game; introversion, sensing, intuition, thinking, and feeling types of college students were tend to show the lower of their life satisfaction through the internet retrieval; and extraversion, intuition, and feeling types of college students were tend to show the lower of their life satisfaction through the smart-phone messenger use.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.789-799
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• 2019

This study classified and analyzed the upper body types of 7-13 years old elementary school boys, using 3D data from the 6th Size Korea. The results of this study are as follows. Seven factors were extracted from the factorial analysis as an independent factor for a cluster analysis. The cluster analysis generated four body types. Type 1 has large ratio of front and back depth as well as circumference, with a front protrusion. In Type 2, the vertical value of upper torso is longer than average; in addition, its flatness is the largest and produces a thin body type. Type 3 has a smaller flatness in the bust, waist, abdomen and hip than other types, while also having the largest BMI. Type 4 is characterized by a greater shoulder angle than other types and its other factors are close to average. As a result of the logistic regression analysis, the prediction model used eight variables to generate and its accuracy is 88.679%. The classification of upper body types from this study can be used as basic data to improve patternmaking for each body type. The generated prediction model is also expected to be used as a method to help classify upper body types using the eight variables.