• Title/Summary/Keyword: data types

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The Study on the Trouser Types of the Ancient Tribes - Focusing on the Reliefs of the Achaemenian Period of Persia - (고대 종족들의 바지 유형에 대한 연구 - 페르시아 아케메네스 왕조 부조를 중심으로 -)

  • Yi-Chang, Youngsoo
    • Journal of the Korean Society of Costume
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    • v.62 no.8
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    • pp.81-99
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    • 2012
  • This study aims to find out the trouser types of the ancient tribes after analyzing various types of trousers discovered on the reliefs of the Achaemenian period of Persia. Then use the results of the analysis as basic data for a study on the Korean trousers type during the ancient times. For this, a theoretical background on the ancient tribes is developed by referring to the literature documents of literature, and European archeologists' papers and photo data are collected and analyzed as well. In addition to the above data, the data, which have been collected by researchers through a field study are comparatively analyzed. In terms of width, the trousers of the ancient tribes have been divided into three types: narrow, average and wide. Each type has diverse forms. The trouser types varied depending on the tribes, the regions and the manufacturing dates of the reliefs. The narrow type was popular among Median, Scythian and Kappadokian, while the average type was frequently worn by Bactrian and Sogdian who lived in the highlands in the northeastern part of Iran. Lastly, the wide type was mostly found in the southeast of Iran(Arachosia, Aria and Drangiana). The fact that trousers were discovered together with boots has been useful in guessing the lifestyle of ancient tribes. Also, even within the same tribe, the form of the trousers and how they were worn changed depending on the time period.

Types of Students' Responses to Anomalous Data (변칙 사례에 대한 학생들의 반응 유형)

  • Noh, Tae-Hee;Lim, Hee-Yeon;Kang, Suk-Jin
    • Journal of The Korean Association For Science Education
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    • v.20 no.2
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    • pp.288-296
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    • 2000
  • In this study, the types and the characteristics of students' responses to anomalous data were investigated. The criteria for classifying students' responses were 'acceptance of validity of anomalous data', 'acceptance of inconsistency between anomalous data and initial theory', and 'change of belief in initial theory'. Seven types of responses were identified as follows: Rejection, reinterpretation, exclusion, uncertainty, peripheral theory change, partial belief change, and theory change. Absolute belief in the intial theory and doubts about methodological accuracy were found to be the major reasons for rejecting anomalous data. The students did not accept the inconsistency between anomalous data and initial theory because they ignored the experimental procedures and focused on the similarity of the experimental results.

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Development of a Data-logger Classifying Dangerous Drive Behaviors (위험 운전 유형 분류 및 데이터 로거 개발)

  • Oh, Ju-Taek;Cho, Jun-Hee;Lee, Sang-Yong;Kim, Young-Sam
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.3
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    • pp.15-28
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    • 2008
  • According to the accident statistics published by the National Police Agency in 2006, it can be recognized that drivers' characteristics and driving behaviors are the most causational factors on the traffic accidents. At present, although many recording tools such as digital speedometer or black box are distributed in the market to meet social requests of decreasing traffic accidents and increasing safe driving behaviors, it is also true that it still lacks in obvious categories for dangerous driving types and then, the efficiency of the categories to be studied has been low. In this study, dangerous driving types are redefined. They are grouped into 7 classifications in the first level, and the seven classifications are regrouped into 16 in more detail. To verify the redefined dangerous driving types, a Data-logger is developed to receive and analyze the data that occur from the driving behaviors of the test vehicle. The developed Data-logger can be used to construct a real time warning system and safe driving management system with dangerous driving patterns based on acceleration, deceleration, Yaw rate, image data, etc.

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A Study on the Establishment of a GIS Thematic Mapping Procedure for Oil Spill Monitoring Data (유류오염 모니터링 자료의 GIS 주제도 제작 절차 수립 연구)

  • Kim, Tae-Hoon;Choi, Hyun-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.1
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    • pp.1-15
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    • 2012
  • Marine scientific monitoring, including monitoring of oil pollution, marine ecosystems, and the marine environment in general, has been being carried out continuously in order to assess the impact of oil pollution since the Hebei Spirit oil spill in December 2007. GIS thematic maps containing visual and summarized information are very useful for conducting exploratory analyses on the spatio-temporal variability of the marine environment and marine ecosystems due to oil pollution. Defining map types and building a legend in accordance with data characteristics are essential elements for mapping. In the present study, map types were defined according to the data attributes and GIS data types for each data item and classification of data intervals for the legend was defined by using two data distribution types through a histogram analysis. The data interval method was defined as follows: If the histogram of data has a uniform distribution, an equal interval method is applied; in the case of a normal distribution, a standard deviation method is applied. In addition, thematic map templates were made for each map type through the definition of marginal elements. Through the establishment of systematic mapping methods and procedures in this study, it was possible to effectively make standardized thematic maps for various kinds of marine scientific data.

Development of a Multiple Linear Regression Model to Analyze Traffic Volume Error Factors in Radar Detectors

  • Kim, Do Hoon;Kim, Eung Cheol
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.5
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    • pp.253-263
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    • 2021
  • Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.

Track Wear and Irregularity Data Processing and Analysis for Life Cycle Performance (생애주기분석을 위한 궤도 마모 및 틀림 데이터 처리 및 분석)

  • Kong, Jung-Sik;Jeong, Min-Chul;Kim, Jung-Hoon;Kim, Gun-Woo
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1123-1128
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    • 2011
  • Generally, there are many types of data, such as wear data or irregularity data, are detected for analyzing railway performance. The analysis of railroad wear or irregularity data is most effective method for the efficient railway maintenance. Especially, the track damaged directly by train, have as important position with the inspection data. This study suggest the Life-Cycle performance analysis method and process of railroad by analyzing two types of data, wear data and irregularity data. This analysis methods can be applied to suggest the Life-Cycle performance of railroad based on environmental factors or design factors, such as sleeper type, roadbed type, cant, the radius of curvature, speed, maintenance history and so on.

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Development of Bodice Dress Forms by Body Types for Women in Thirties Applying 3D Body Scan Data (3D 인체 스캔 데이터를 활용한 체형별 인대모형 개발에 관한 연구)

  • Suh, Dong-Ae;Oh, Seol-Yong
    • The Journal of the Korea Contents Association
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    • v.12 no.9
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    • pp.136-145
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    • 2012
  • This research proposes a pattern making method for women's bodice by the characters of body types and develops bodice dress forms on their body shapes applying 3D body scan data. 515 women's body scan data was collected and analyzed factor and cluster analysis. Three body types were characterized in normal, obese, and slim group. In each group, 10 subjects were selected. 20 parts in 3D anthropometric data were measured using Autocad program. The amount of waist dart was calculated and three types of basic bodice pattern were developed using the calculated darts data. The amount and the position of front dart and side dart were different at obese group in comparison of normal and thin group. The three types of basic bodice model were made by the basic bodice pattern, and each model was scanned by 3D scanner to make 3D bodice dress forms. Three types of bodice dress forms were rendered using 3D max program. Bodice dress forms had the dart lines and were useful to draft patterns to fit their body shape.

Development of All-in-One Pattern Specialized for Obesity in Old Age

  • Yun, Jeong;Na, Mi-Hyang
    • Fashion & Textile Research Journal
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    • v.21 no.6
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    • pp.830-836
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    • 2019
  • A diverse range of products are currently being sold; however, it is very difficult to purchase All-in-One patterns that reflect the body types of the elderly stage in the open market. This study is to develop specialized All-in-One patterns by assessing obese body types characteristics of the elderly social class. Five healthy women with typical obese body types in the elderly stage with busts, waists, and hips surpassing 100 cm were chose as test subjects. The three subjects for the wearing experiment are those with more than one year of experience wearing a bodysuit. A self-evaluation was made three times by looking in the mirror. The data from this study was processed to find averages and deviations; in addition, and a t-test was performed using the SPSS 24 statistical software. A total of 13 body parts were measured prior to and while wearing the specialized All-in-One patterns. Significant results were obtained from all 12 items. All-in-One for research appears to have produced a high level of satisfaction for subjects. This study can provide basic data on elevating the levels of satisfaction of the consumers in their elderly stages with special body types that deviate from standard body types at the time of wearing garments as well as for inner-wear companies to graft this market as a high-value-added niche market.

A Study on the Effects of Flow on the Utilization of Mobile Phone Service (플로우 경험이 휴대폰 서비스 이용에 미치는 영향에 관한 연구)

  • Park, Yoon-Seo;Lee, Seung-In;Lee, Hyo-Sun
    • Korean Management Science Review
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    • v.27 no.3
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    • pp.117-135
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    • 2010
  • The purpose of this study is to segment the mobile phone users based on the flow types and to understand the differences in mobile phone usage behavior between the segmented groups. The 'flow' construct, which was introduced first in marketing by Hoffman and Novak[44], has been used as an important keyword for understanding consumer behavior on the World Wide Web. In this paper, we will try to use the flow aspect for the mobile market segmentation, which is one of the most fundamental tools for developing a successful marketing strategy on the mobile phone service market. We collected survey data from consumers and analyzed the data with the SPSS 12.0 package where we did ${\chi}^2$-test, factor analysis, one-way ANOVA and cluster analysis. Main results of this study are as follow. First, the flow types of the mobile phone users were classified into five types, which are named as the 'Flow' type, 'Apathy' type, 'Anxiety' type, 'Boredom' type, 'Control' type. Second, most of the results related to the usage of mobile phone service showed statistically significant differences between flow types. These findings suggest that the mobile phone service marketers should consider the various flow types of users and work out effective market segmentation strategies based on these consumer flow types.

A Study on the Present Conditions, Exterior View, and Elevation Form of Housing in Munhwa-Maul (문화(文化)마을의 현황(現況)과 주택외관(住宅外觀) 및 입면형태(立面形態)에 관(關)한 연구(硏究))

  • Chong, Geon-Chai
    • Journal of the Korean Institute of Rural Architecture
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    • v.7 no.1
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    • pp.1-10
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    • 2005
  • The aim of This study is to establish existing of Munhwa-Maul, and analysis exterior form and elevation types of housing in new village of rural area. And it was studied on data and general conditions about it. The analysis of this research is divided into main categories as follow; classification of exterior form types, drawing an elevation of housing in Munhwa-Maul. So, I needed both field survey and research for data of 22 new village. Through this study and the results of survey are as follows; Munhwa-Maul is role to establish people settled village in rural area. The types of house are several and various in Munhwa-Maul. Especially, masonry construction type of housing has about 80%. But recently new types of housing are on the increase. So, Munhwa-Maul has a new landscape of village. It was grouped by three exterior form of dwelling housing. The ratio of box form has about 40%. Lastly, the types of elevation are four. Flat-roof style has about 70% including eyebrow flat-roof.

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