• 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 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 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 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.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.229-247
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• 2023

With the increasing emphasis on anomaly detection across various fields, diverse anomaly detection algorithms have been developed for various data types and anomaly patterns. However, the performance of anomaly detection algorithms is generally evaluated on publicly available datasets, and the specific performance of each algorithm on anomalies of particular types remains unexplored. Consequently, selecting an appropriate anomaly detection algorithm for specific analytical contexts poses challenges. Therefore, in this paper, we aim to investigate the types of anomalies and various attributes of data. Subsequently, we intend to propose approaches that can assist in the selection of appropriate anomaly detection algorithms based on this understanding. Specifically, this study compares the performance of anomaly detection algorithms for four types of anomalies: local, global, contextual, and clustered anomalies. Through further analysis, the impact of label availability, data quantity, and dimensionality on algorithm performance is examined. Experimental results demonstrate that the most effective algorithm varies depending on the type of anomaly, and certain algorithms exhibit stable performance even in the absence of anomaly-specific information. Furthermore, in some types of anomalies, the performance of unsupervised anomaly detection algorithms was observed to be lower than that of supervised and semi-supervised learning algorithms. Lastly, we found that the performance of most algorithms is more strongly influenced by the type of anomalies when the data quantity is relatively scarce or abundant. Additionally, in cases of higher dimensionality, it was noted that excellent performance was exhibited in detecting local and global anomalies, while lower performance was observed for clustered anomaly types.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.153-163
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• 2023

This study was conducted to review data utilization plans and suggest solutions based on the need for tools that can objectively diagnose problems in rural areas. The study extracted items through prior research and was carried out as a process of reviewing data capable of constructing spatial data. The results performed in the above manner are as follows. First, prior research and expert surveys were conducted to select diagnostic items to derive details of a total of three items that should be considered for rural space plans such as regional revitalization and regeneration using regional characteristics such as environment, society, and culture. Second, as a result of listing data available for regional diagnosis, 6 types of environment, 15 types of society, and 18 types of culture were selected out of a total of 529. Finally, it was suggested to establish a national standard spatial unit by grasping the limitations of public data such as omission of spatial data and accuracy. This study is significant in that it presented implications for data utilization as well as selection of items for rural diagnosis and reviewed data utilization based on rural specialized districts of "The Act on Support for Restructuring and Regeneration of Rural Spaces" to be implemented in 2024. This is considered to be valuable as a study for sustainable rural diagnosis if processes such as spatial data construction and weight setting are carried out in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.388-394
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• 2007

In wireless network, we propose a predictive location update scheme which considers mobile user's(MU's) mobility patterns. MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.