• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.32B no.5
• /
• pp.693-701
• /
• 1995

In most application programs, loops usually comprise most of the computation in a program and are the most important source of parallelism. When loops are executed on multiprocessors, the cross iteration data dependences need to be enforced by synchronization between processors. Existing synchronization schemes have been studied mainly on the loop with constant dependence distance. When these schemes are applied to the loop with variable dependence distance, there exists lots of overhead by the use of unnecessary synchronization variables and execution of unuseful synchronization instructions. Even though there exist various variable synchronization schemes, they have a lot of run-time overhead to compute synchronization information. In this paper, we present a new synchronization scheme, Synch-Free/Synch-Hold for managing synchronization efficiently on the loop with constant and variable dependence distance.

• The Korean Journal of Applied Statistics
• /
• v.17 no.3
• /
• pp.519-533
• /
• 2004

In this paper, we suggest quasi-likelihood estimation (QLE) method and its robust version in estimating spatial dependence modelled through variogram used for spatial data modelling. We compare the statistical characteristics of the estimators with other popular least squares estimators of parameters for variogram model by simulation study. The QLE method for estimating spatial dependence has the advantages that it does not need the concept of lags commonly required for least squares estimation methods as well as its statistical superiority. The QLE method also shows the statistical superiority to the other methods for the tested Gaussian and non-Gaussian spatial processes.

• The Bulletin of The Korean Astronomical Society
• /
• v.43 no.2
• /
• pp.36.1-36.1
• /
• 2018

Star formation activity of galaxies, along with color and morphology, show significant environmental dependence in local universe, where galaxies in dense environment tend to be more quiescent and redder. However, many studies show that such environmental dependence does not continue at higher redshifts beyond z~1. The question of how the environmental dependence of galactic properties have developed over time is crucial to understanding cosmic galactic evolution. By combining data from Canada-France-Hawaii Telescope Legacy Survey(CFHTLS), Infrared Medium-Deep Survey(IMS), and other surveys, the photometric redshifts of galaxies in CFHTLS W2 field were estimated by fitting spectral energy distribution. The distribution of galaxies was mapped in redshift bins of 0.05 interval from 0.6 to 1.4. For each redshift bin, the number density was mapped. The galaxies in high density regions were grouped into clusters using friend-of-friend method. The color of galaxies were analyzed to study the correlation with redshift as well as environmental difference between field galaxies and cluster member galaxies.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.4
• /
• pp.931-946
• /
• 2015

Many multiple life insurance products consider benefits that are contingent on the combined survival status of two lives. To value premiums of the insurance products accurately, we need to consider the impact of the survivorship of one life on another. To show a dependence relation between married couple, we calculate correlation coefficients by using married couples data from National Pension Service and the results show some positive dependence between them. Moreover, by analyzing the death after bereavement, we find a evidence that mortality rates increase after the death of a spouse and, in addition, that this phenomenon, the broken-heart syndrome, diminishes over time. The results of this study can support the method to calculate the premium of multiple life insurance reflecting more realistic joint mortality rates.

• The Journal of Information Systems
• /
• v.23 no.1
• /
• pp.225-246
• /
• 2014

With the recent establishment of a ubiquitous environment and the paradigm shift to a smart society, the use of mobile devices, such as smart phones and tablet PCs, has become widespread. Thus, the trend is gradually shifting from using Web-based Instant Messenger to using Mobile-based Instant Messenger. Mobile Instant Messenger refers to a service that allows instant messaging as well as data sending and receiving between individuals with exclusive application programs(mobile Apps), which can be used in portable devices-such as smart phones-with wireless Internet access. Korea's portal sites, telecommunication companies, and even big companies have all rushed into the MIM market to join the competition. The reason so many companies are showing interest in the MIM business is because it is rising as a core platform to substitute portal sites in the mobile society, and MIM is perceived as the best means to attract and secure users. The intention to reuse or use continually was considered an important factor in maintaining a dominant position amidst such fierce competition, and consequently, most research thus far has reflected such thought. However, the frequent or long-term use of a system alone cannot indicate the definite success of the system, nor guarantee its dominant position in the market. On the contrary, MIM dependence, which goes beyond simple repetitive use and indicates a state where users actually or emotionally depend on a specific system, can better explain the user action. However, not much research has been conducted on dependence. The research results showed that lively message, concise message, message responsiveness, and social belonging significantly affected perceived usefulness. Message responsiveness, Link, and social belonging significantly affected flow. Flow significantly affected MIM dependence, and perceived usefulness did not affect MIM dependence. This study has proven that lively message, concise message, message responsiveness, Link, social belonging and perceived usefulness are important antecedents and mediating factors of MIM dependence. Moreover, this study is significant in that it explains the overall process of MIM dependence, and expands on the variety and scope of research that can be applied to MIM-related studies.

• Proceedings of the KSRS Conference
• /
• 2002.10a
• /
• pp.65-65
• /
• 2002

In remote sensing, images are acquired over the same area by sensors of different spectral ranges (from the visible to the microwave) and/or with different number, position, and width of spectral bands. These images are generally partially redundant, as they represent the same scene, and partially complementary. For many applications of image classification, the information provided by a single sensor is often incomplete or imprecise resulting in misclassification. Fusion with redundant data can draw more consistent inferences for the interpretation of the scene, and can then improve classification accuracy. The common approach to the classification of multisensor data as a data fusion scheme at pixel level is to concatenate the data into one vector as if they were measurements from a single sensor. The multiband data acquired by a single multispectral sensor or by two or more different sensors are not completely independent, and a certain degree of informative overlap may exist between the observation spaces of the different bands. This dependence may make the data less informative and should be properly modeled in the analysis so that its effect can be eliminated. For modeling and eliminating the effect of such dependence, this study employs a strategy using self and conditional information variation measures. The self information variation reflects the self certainty of the individual bands, while the conditional information variation reflects the degree of dependence of the different bands. One data set might be very less reliable than others in the analysis and even exacerbate the classification results. The unreliable data set should be excluded in the analysis. To account for this, the self information variation is utilized to measure the degrees of reliability. The team of positively dependent bands can gather more information jointly than the team of independent ones. But, when bands are negatively dependent, the combined analysis of these bands may give worse information. Using the conditional information variation measure, the multiband data are split into two or more subsets according the dependence between the bands. Each subsets are classified separately, and a data fusion scheme at decision level is applied to integrate the individual classification results. In this study. a two-level algorithm using hierarchical clustering procedure is used for unsupervised image classification. Hierarchical clustering algorithm is based on similarity measures between all pairs of candidates being considered for merging. In the first level, the image is partitioned as any number of regions which are sets of spatially contiguous pixels so that no union of adjacent regions is statistically uniform. The regions resulted from the low level are clustered into a parsimonious number of groups according to their statistical characteristics. The algorithm has been applied to satellite multispectral data and airbone SAR data.

• Journal of Wellbeing Management and Applied Psychology
• /
• v.6 no.4
• /
• pp.33-39
• /
• 2023

Purpose: The purpose of this study is that the college age is an important transition period from youth to adulthood. Nursing students are unfamiliar with their field of study and need to adapt to a large amount of academic and practical training, so that they can have a better college life. An attempt was made to determine the effect of exam anxiety, academic stress, and alcohol dependence on the academic achievement of nursing students. Research design, data, and methodology: The subjects of the study were 130 students from all grades who agreed to participate in the study after expressing convenience among students attending the Department of Nursing at a university in Gyeongnam. The data collection period was from August 15 to September 15, 2023. It was about a month. The data investigation was conducted through a self-report survey. Results: Results showed that significant variables included exam anxiety, academic stress, alcohol dependency, parent relationships, peer relationships, and major satisfaction, explaining a total variance of 31.9%. Among these, the most influential factor was academic stress (β=-.352). Conclusions: This study identify factors influencing the academic achievement of nursing college students and hopes to contribute to formulating strategies for their growth and competence development.

• 한국노년학
• /
• v.36 no.4
• /
• pp.1177-1189
• /
• 2016

The dependency is a problem in the aged. The purpose of this study was to investigate depression, urinary incontinence, sleep patterns, and dependence, and to identify affecting factors of dependence on elderly patients in medical and care hospital. The subjects consisted of 209 elderly inpatients in the J city. The variables of dependency, depression, urinary incontinence, sleep were measured using questionnaires. Data analysis was performed using the SPSS 23.0 program, using descriptive statistic, t-test, ANOVA, Pearson correlation coefficient, and multiple regression analysis. Major findings of this study are as follows. The mean score of depression is $6.83{\pm}4.14$(out of 15), urinary incontinence is $6.44{\pm}9.63$(out of 60), sleep hour is $8.09{\pm}1.55$, quality of sleep is $39.37{\pm}6.55$(out of 60), and dependence is $42.68{\pm}8.78$(out of 85). The economic dependence among the subdomain of dependence is the highest dependence score. Dependence was positively correlated with depression(r=.26, p<.001), urinary incontinence(r=.35, p<.001). Factors Influencing dependence were depression (${\beta}.227$, p=.001), urinary incontinence (${\beta}=.259$, p<.001), and explanation of dependence is 11.5%. These results suggest that it is necessary for multidisciplinary approach and nursing intervention for decreasing dependence.

• The Korean Journal of Emergency Medical Services
• /
• v.28 no.1
• /
• pp.21-34
• /
• 2024

Purpose: This study aimed to observe change in factors over time in the first cohort of the 2018 Children and Adolescent Panel Middle School. In addition, this study attempted to examine the causal relationship and influence between variables by setting a time gap between independent and dependent variables. Methods: Frequency and descriptive statistical analyses were conducted to determine the general characteristics of the study participants. Hierarchical regression analysis was conducted to analyze the effects of smartphone dependence on health, sleep quality, and depression. After inputting the control variables (Model 2), the influence of the variables was identified based on the input model. Results: Smartphone dependence positively impacted depression in both male and female students and negatively impacted sleep and health. Conclusion: Smartphones are closely associated with teenagers' lives. Additionally, as adolescents experience various psychological anxieties owing to rapid physical changes, there are concerns that psychological dependence may increase, considering that adolescence is the most emotionally unstable period. Therefore, the results of this study consistently prove that smartphone dependence has a causal relationship with emotion-related variables, such as emotional stress, depression, and anxiety.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.11
• /
• pp.5762-5770
• /
• 2013

The purpose of this study was to identify the predictors of motivation to change in people with an alcohol dependence. The participants were 209 peoples with alcohol dependence. Data were collected through self-report questionnaires, which were constructed to include socio-demographics, alcohol drinking-related factors, and psychosocial-spiritual factors. Data were analyzed with the SPSS 19.0 programs. The significant predictors of motivation to change in peoples with alcohol dependence were gratitude, professional support, and age at first admission. These alcohol drinking-related factors and psychosocial factors explained 22.7% of the variance in peoples with an alcohol dependence. These results suggest that motivation to change in people with an alcohol dependents can be changed positively by increasing gratitude and professional support.