• 한국실내디자인학회논문집
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• 제20권5호
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• pp.143-151
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• 2011

Since it is important to understand data acquiring characteristics through relationship between spatial types and spatial elements and apply it to spatial plans for smooth communication between designer and user of space, the conclusions gained from analysis of data acquiring characteristics of spatial elements through image evaluation by types of interior space can be summarized as in the followings: First, for the amount of acquired data by types of interior space, it shows that the acquired amount of data is to change by types and data acquiring method (phrase and image) even though the spatial elements are same. Second, for the data acquiring process of spatial types by gender, it shows that there is a big difference in acquiring of data according to the evaluation method by phrase and image. Third, for the amount of acquired data of spatial types by gender, it shows that there is a difference between male and female, which is by "classic ${\rightarrow}$ modern ${\rightarrow}$ natural" in case of male and "classic ${\rightarrow}$ natural ${\rightarrow}$ modern" in case of female. regarding both of phrase and image. Fourth, for the evaluation by gender, it shows that there is a deviation in the value of difference according to the elements by which data acquiring characteristics evaluate space. It is considered that this deviation characteristic is in need of reflection in the process of spatial evaluation. This study analyzed data acquiring characteristics of space user's spatial elements through image evaluation by types of space to understand how data acquiring would be changed of spatial elements according to type and gender. Through this study, it expects to make clear that, when a designer is planning a certain space, if the space can be a space for the user by understanding of which elements should be exposed to users by types to acquire more data.

• 한국정보통신학회논문지
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• 제3권2호
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• pp.421-431
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• 1999

NOD(News On Demand) 시스템은 텍스트, 이미지, 그리고 비디오 등의 다양한 형태의 데이타를 포함하며, 데이타의 형태에 따라 크기가 다르다. 따라서, 본 논문에서는 데이타의 종류에 따라 데이타의 배치 방법을 다르게 하는 DPMDT(Data Placement Method based on Data Types)방법을 제안하고, 생성된 날짜를 기반으로 데이타를 배치하는 TBSM(Time Based Storage Management) 방법과 생성날짜와 접속 비율을 기반으로 데이타를 배치하는 RBSM(Rate Based Storage Management) 방법과의 성능을 비교, 분석하였다. 분석 결과, 비디오 뉴스의 재생 시간이 길고 디스크의 개수가 적은 경우(1개)에는 DPMDT 방법이 TBSM이나 RBSM 방법에 비해 다소 낮은 성능을 보였으나, 디스크의 개수가 2개 이상인 경우에는 DPMDT 방법이 TBSM이나 RBSM 방법에 비해 좋은 성능을 보였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2009년도 학술발표회 초록집
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• pp.2161-2166
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• 2009

It is important for 0-6 hour nowcasting to provide for a high-quality initial condition in a meso-scale atmospheric model by a data assimilation of several observation data. The polarimetric radar data is expected to be assimilated into the forecast model, because the radar has a possibility of measurements of the types, the shapes, and the size distributions of hydrometeors. In this paper, an impact on rainfall prediction of the data assimilation of hydrometeor types (i.e. raindrop, graupel, snowflake, etc.) is evaluated. The observed information of hydrometeor types is estimated using the fuzzy logic algorism. As an implementation, the cloud-resolving nonhydrostatic atmospheric model, CReSS, which has detail microphysical processes, is employed as a forecast model. The local ensemble transform Kalman filter, LETKF, is used as a data assimilation method, which uses an ensemble of short-term forecasts to estimate the flowdependent background error covariance required in data assimilation. A heavy rainfall event occurred in Okinawa in 2008 is chosen as an application. As a result, the rainfall prediction accuracy in the assimilation case of both hydrometeor types and the Doppler velocity and the radar echo is improved by a comparison of the no assimilation case. The effects on rainfall prediction of the assimilation of hydrometeor types appear in longer prediction lead time compared with the effects of the assimilation of radar echo only.

• 한국의류학회지
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• 제25권3호
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• pp.606-616
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• 2001

The purpose of this study was to investigate the preferred clothing images and clothing behaviors on personality types. Personality types were applied using Myers-Briggs Type Indicator(MBTI). Clothing image preferences were measured using 28 adjectives of 5-point scales. The data were collected from 101 female using questionnaire to prefer on clothing images, consumer information sources and retail store types. The data analysed with crosstab analysis, t-test, MDS. Extroversion and Introversion had significant difference in casual, sporty, fresh, youthful, western, and simple more than introversion types. Sensing and intuition had significant difference in feminine and strong image. Sensing types were significantly evaluated feminine style more than intuition types. Thinking types were significantly evaluated simple image more than feeling types. Judging and perceiving had significant difference in graceful, lofty, and strong image. Judging types were significantly evaluated graceful and lofty style more than perceiving types.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권10호
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• pp.4198-4213
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• 2020

Data encryption, particularly application-level data encryption, is a common solution to protect data confidentiality and deal with security threats. Application-level encryption is a process in which data is encrypted before being sent to the database. However, cryptography transforms data and makes the query difficult to execute. Various studies have been carried out to find ways in order to implement a searchable encrypted database. In the current paper, we provide a new encrypting method and querying on encrypted data (ZSDB) for different data types. It is worth mentioning that the proposed method is based on secret sharing. ZSDB provides data confidentiality by dividing sensitive data into two parts and using the additional server as Dictionary Server. In addition, it supports required operations on various types of data, especially LIKE operator functioning on string data type. ZSDB dedicates the largest volume of execution tasks on queries to the server. Therefore, the data owner only needs to encrypt and decrypt data.

• 대한수학교육학회지:학교수학
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• 제1권2호
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• pp.555-569
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• 1999

The graph unit(chapter) is a good example of a topic in elementary school mathematics for which computer use can be incorporated as part of the instruction. Teaching graph can be facilitated by using the graphing utilities of computers, which make it possible to observe the property of many types of graphs. This study was concerned with utilizing an educational software Graphers as an instructional tool in teaching to help young students gain a better understanding of graph concepts. For this purpose, three types of instructional activities using Graphers were shown in the paper. Graphers is a data-gathering tool for creating pictorial data chosen from several data sets. They can represent their data on a table or with six types of graphs such as Pictograph, Bar Graph, Line Graph, Circle Graph, Grid Plot and Loops. They help students to select the graph(s) which are the most appropriate for the purpose of analyzing data while comparing various types of graphs. They also let them modify or change graphs, such as adding grid lines, changing the axis scale, or adding title and labels. Eventually, students have a chance to interpret graphs meaningfully and in their own way.

• 한국의류학회지
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• 제34권8호
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• pp.1233-1241
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• 2010

This study analyzes the body characteristics of high school boys according to 3 different body types in order to improve the fit of upper garments. First, among the lateral body types, the straight body type was selected from the SizeKorea 3D scanned data and 2D measurement data. Second, high school boys (classified as straight lateral body type) were grouped into type B, A, and Y drop groups. The percentages of type B, type A, type Y are 17.8%, 48.1%, 32.1% respectively. The characteristics of the body types were analyzed. While the bust circumference were the same among the three body types (chest width, back width, back across shoulder, and bust width did not show a significant difference); however, waist and hip measurements showed a significant difference among the three body types. Third, the height of the high school boys ranged between 165cm and 180cm and the bust circumference between 85cm and 97cm. For the bust size categories, type B and type Y are distributed similarly; however, type A is distributed in the smaller bust size categories.

• 동의신경정신과학회지
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• 제32권4호
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• pp.303-320
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• 2021

Objectives: Although medical typologies based on indigenous biopsychological ideas have been described, their integrity has been questioned due to its theory-driven nature in categorization. Therefore, studies on the Sasang typology, a temperament-based traditional Korean medicine, are needed to examine whether it is possible to classify types of specific biopsychological profiles using data-driven analysis. Methods: Psychological measures of the Eastern Sasang Personality Questionnaire (SPQ) and Western NEO-Personality Inventory (NEO-PI) along with physical measures and Sasang types were acquired from 2,049 participants. Latent groups based on the SPQ and NEO-PI subscale scores were extracted using Latent Profile Analysis. Their psychosomatic features were then compared with those of Sasang types. Results: Three SPQ-based latent groups showed distinctive psychological and physical features consistent with those of Sasang types. However, four NEOPI-based latent groups presented only psychological features. Furthermore, SPQ-High and SPQ-Low latent groups demonstrated similar psychosomatic profiles to those of So-Yang and So-Eum Sasang types, respectively. Conclusions: This study illustrates that biopsychological profiles of Sasang types are supported by psychosomatic features of latent groups based on SPQ of Eastern psychology, signifying that the categorization of Sasang typology have acceptable validity and reliability.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.329-332
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• 2007

Annual vegetation growth patterns are determined by the intrinsic phenological characteristics of each land cover types. So, if typical growth patterns of each land cover types are well-estimated, and a NDVI time-series data of a certain area is compared to those estimated patterns, we can implement more advanced analyses such as a land surface-type classification or a land surface type change detection. In this study, we utilized Terra MODIS NDVI 250m data and compressed full annual NDVI time series data into several indices using the Harmonic Analysis of Time Series(HANTS) algorithm which extracts the most significant frequencies expected to be presented in the original NDVI time-series data. Then, we found these frequencies patterns, described by amplitude and phase data, were significantly different from each other according to vegetation types and these could be used for land cover classification. However, in spite of the capabilities of the HANTS algorithm for detecting and interpolating cloud-contaminated NDVI values, some distorted NDVI pixels of June, July and August, as well as the long rainy season in Korea, are not properly corrected. In particular, in the case of two or three successive NDVI time-series data, which are severely affected by clouds, the HANTS algorithm outputted wrong results.

• Asia pacific journal of information systems
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• 제12권4호
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• pp.21-36
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• 2002

This study empirically examined the effects of data warehousing methodology on the success of data warehousing. Research model and two hypotheses were set up to identify the relationships among two types of data warehousing methodology(top-down/bottom-up, dw configuration) and success based on the investigations of such theories as data warehousing, data warehousing methodology, IS success and so forth. And the survey instrument(questionnaire) was developed to collect data. Ultimately 183 questionnaires from 61 korean firms were collected. Findings showed that two types of data warehousing methodology affect significant effect on the success of data warehousing.