• Journal of Astronomy and Space Sciences
• /
• v.15 no.1
• /
• pp.65-68
• /
• 1998

We construct the X-ray light curves of the W UMa type contact binary SS Arietis(HD12929) from the EXOSAT data in HEASARC data archive. The phase dependent X-ray light curves obtained by using the ephimeris of Kaluzny & Pojmanski of SS Ari is modulated on the orbital phase as in the case of other W UMa type binaries. Although a detailed analysis of these data is impossible because of the very low X-ray light curves in the context of the radiation in the corona region of W UMa type stars.

• Journal of the Korean Data and Information Science Society
• /
• v.7 no.2
• /
• pp.179-188
• /
• 1996

Accelerated life testing(ALT) of products quickly yields information on life. In this paper, we investigate asymptotic normalities of maximum likelihood(ML) estimators of parameters for ALT model under Type II censored data using results of Bhattacharyya(1985). Further illustrations include the treatment of asymptotic of the exponential and Weibull regression models.

• Journal of the Korean Data and Information Science Society
• /
• v.19 no.4
• /
• pp.1441-1448
• /
• 2008

We propose the modified quantile-quantile (Q-Q) plot using the approximate maximum likelihood estimators and the modified normalized sample Lorenz curve (NSLC) plot for the extreme value distribution based on multiply Type-II censored samples. Using two example data sets, we picture the modified Q-Q plot and the modified NSLC plot.

• Journal of the Korean Data and Information Science Society
• /
• v.23 no.4
• /
• pp.815-823
• /
• 2012

In this paper reliability growth model in which the operating time between successive failure is a continuous random variable is proposed. This model is for Burr type XII distribution with two parameters which is discussed in two versions: the order statistics and non-homogeneous Poisson process. The two software reliability measures are obtained. The performance for two versions of the suggested model is tested on real data set by U-plot and Y-plot using Kolmogorov distance.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.27 no.6C
• /
• pp.594-600
• /
• 2002

A data manipulation unit capable of bit partitioned shift and various multimedia data type conversions in addition to conventional shift, is presented. Utilizing the similarity between the data type conversion and the shift, the addition of small amount of interconnections to conventional barrel shifter enables data type conversion as well as shift operations with minimal hardware overhead. The presented data manipulation unit is composed of the shifter block for conventional shift and a pack and a unpack block. It has been designed with verilog HDL and the VLSI implementation results using compass 0.6 um standard cell are discussed.

• Journal of the Korean Society for information Management
• /
• v.40 no.1
• /
• pp.175-198
• /
• 2023

This study aimed to investigate the difference in response to reading as shown in book reports by personality type and interest type. For this purpose, personality type analysis data, interest type analysis data, and book report data written in subject reading activities were collected from 81 third graders at D Science High School in Daejeon. Topic analysis was conducted on the collected book reports, and the probability of a topic being mentioned was statistically tested according to personality type (thinking type, feeling type) and interest type (investigative type, types other than investigative). Subsequently, the conceptual connection structure of words was measured by keyword network analysis, and the analysis results of topic modeling were complemented by the centrality index. As a result of the study, the topic regression analysis showed statistically significant differences between thinking type (T) and feeling type (F) in topic 2 (understanding and studying) and topic 3 (reading and thinking), and statistically significant differences between investigative type and non-investigative type in topic 2 (understanding and studying). The results of this study can be used as a basis for tailored book recommendations and personalized reading education.

• Journal of Biomedical Engineering Research
• /
• v.30 no.3
• /
• pp.185-190
• /
• 2009

Biomedical mobile devices for ubiquitous healthcare consist of biomedical sensors and communication terminal. They have two types of configuration. One is the sensor-network type device using wired or wireless communication with intelligent sensors to acquire biomedical data. The other is the sensor embedded type device, where the data can be acquired directly by itself. There are many examples of sensor network type, such as, fall detection sensor, blood glucose sensor, and ECG sensors networked with commercial PDA phone and commercial phone terminal for ubiquitous healthcare. On the other hand, sensor embedded type mounts blood glucose sensor, accelerometer, and etc. on commercial phone. However, to enable true ubiquitous healthcare, motion sensing is essential, because users go around anywhere and their signals should be measured and monitored, when they are affected by the motion. Therefore, in this paper, two biomedical mobile devices with motion monitoring function were addressed. One is sensor-network type with motion monitoring function, which uses Zigbee communication to measure the ECG, PPG and acceleration. The other is sensor-embedded type with motion monitoring function, which also can measure the data and uses the built-in cellular phone network modem for remote connection. These devices are expected to be useful for ubiquitous healthcare in coming aged society in Korea.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.48 no.1
• /
• pp.66-81
• /
• 2024

This study analyzed body shape changes over time by comparing Size Korea's data on 50-84-year-old women from 2020 to 2021 with the same data from 2003 to 2004. In addition, the subjects of these data were divided into drop-types and also upper-body-drop-types with the body measurements for each type compared. The results showed that elderly women had grown 3-4 cm taller over the last 20 years, but the length of 'neck shoulder point to breast point' had become shorter; the bust and waist circumferences were smaller, but the thigh circumference was larger. In the body-drop type, the bust circumference, waist circumference, and waist circumference(Omphalion) increased by about 4-6cm in the order of N-type < H-type < Y-type indicating that the sideline slope of the torso must be differentiated. The upper-body-drop-type showed a 1-cm difference in height and bust circumference, but a 4 to 5-cm difference in waist circumference. In addition, thick-waist subjects aged 70 or older were classified into separate body types with the results showing that their waist circumference was greater than their breast circumference, signifying the need for different top patterns.

• Journal of KIISE:Software and Applications
• /
• v.37 no.4
• /
• pp.239-251
• /
• 2010

In modern distributed enterprise applications that have multilayered architecture, business entities are a kind of crosscutting concerns running through service components that implements business logic in each layer. When business entities are modified, service components related to them should also be modified so that they can deal with those business entities with new types, even though their functionality remains the same. Our previous paper proposed what we call the DTT (Data Type-Tolerant) component model to efficiently process the variability of business entities, which are data externalized from service components. While the DTT component model, by removing direct coupling between service components and business entities, exempts the need to rewrite service components when business entities are modified, it incurs the burden of implementing data type converters that mediate between them. To solve this problem, this paper proposes a method to use ontology as the metadata of both SCDTs (Self-Contained Data Types) in service components and business entities, and a method to generate data type converter code using the ontology. This ontology-based DTT component model greatly enhances the reusability of service components and the efficiency in processing data variability by allowing the computer to automatically generate data type converters without error.

• Water for future
• /
• v.26 no.4
• /
• pp.73-83
• /
• 1993

This study focuses on the separation effect analysis of rainfall data for 2-parameter log-normal, 3-parameter log-normal, type-extreme value, 2-parameter gamma, 3-parameter gamma, log-Pearson type-III, and general extreme value distribution functions. Difference in the relationship between the mean and standard deviation of skewness for historical data and relations derived from 7 distribution functions are analyzed suing the Monte Carlo experiment. The results show that rainfall data has the separation effect for 6 distribution functions except 3-parameter gamma distribution function.