• ETRI Journal
• /
• v.36 no.4
• /
• pp.591-598
• /
• 2014

This paper proposes a new min-sum algorithm for low-density parity-check decoding. In this paper, we first define the negative and positive effects of the received signal-to-noise ratio (SNR) in the min-sum decoding algorithm. To improve the performance of error correction by considering the negative and positive effects of the received SNR, the proposed algorithm applies adaptive scaling factors not only to extrinsic information but also to a received log-likelihood ratio. We also propose a combined variable and check node architecture to realize the proposed algorithm with low complexity. The simulation results show that the proposed algorithm achieves up to 0.4 dB coding gain with low complexity compared to existing min-sum-based algorithms.

• Journal of Information Technology Applications and Management
• /
• v.31 no.4
• /
• pp.33-45
• /
• 2024

In this study, we conducted a comparative study of Korea, China, and India on the influencing factors of internet shopping repurchase intention through SEM-ANN two-stage analysis, and analyzed changes in predictive performance and variable importance. As a result, through SEM analysis, it was confirmed that the factors influencing repurchase intention in internet shopping are different between Korea, China, and India. It has been proven that the R² of SEM is improved through ANN. And It has been proven that statistical-conclusion-validity was improved through which the size of the path coefficient in SEM remained similar to that of ANN's variable importance analysis.

• Journal of Digital Convergence
• /
• v.11 no.5
• /
• pp.53-62
• /
• 2013

The purpose of this research is to find the factors affecting the academic education satisfaction of social entrepreneurs, and to analyse the moderate variable such as the study motivation among the factors. These factors includes the curriculum, the education management, the education facilities, the characteristics of instructors and the study motivation. To do this end, this study set up the research questionnaire from the study of Houle (1961) and Hyun and Kim (2010), and did the moderate regression analysis to test the hypothesis that the academic motivation can do as the moderate variable while affecting the education satisfaction. The study finds that the factors such as the curriculum, the education management, the education facilities and the characteristics of instructors show the statistically significant test results. Also the study motivation as a moderate variable shows significant result. Thus for educating the social entrepreneurs, the study motivation of them should be deeply considered.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.35 no.1
• /
• pp.31-39
• /
• 2017

The goal of this study was to efficiently analyze the relationships of the number of thefts with related factors, considering the spatial patterns of theft crimes. Theft crime data for a 5-year period (2009-2013) were collected from Haeundae Police Station. A logarithmic transformation was performed to ensure an effective statistical analysis and the number of theft crimes was used as the dependent variable. Related factors were selected through a literature review and divided into social, environmental, and defensive factors. Seven factors, were selected as independent variables: the numbers of foreigners, aged persons, single households, companies, entertainment venues, community security centers, and CCTV (Closed-Circuit Television) systems. OLS (Ordinary Least Squares) and GWR (Geographically Weighted Regression) were used to analyze the relationship between the dependent variable and independent variables. In the GWR results, each independent variable had regression coefficients that differed by location over the study area. The GWR model calculated local values for, and could explain the relationships between, variables more efficiently than the OLS model. Additionally, the adjusted R square value of the GWR model was 10% higher than that of the OLS model, and the GWR model produced a AICc (Corrected Akaike Information Criterion) value that was lower by 230, as well as lower Moran's I values. From these results, it was concluded that the GWR model was more robust in explaining the relationship between the number of thefts and the factors related to theft crime.

• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.186-195
• /
• 2014

The purpose of this research is to explain what affects the volunteer center's performance on the basis on the program logic model. We assume that internal factors and external factors influence the organizational performance. For the empirical analysis, we use SUR(seemingly unrelated regression). The major findings of this research are as follows: Frist, organizational budget as internal factors are important influential factors. Second, civil society's capacity variable and stakeholder's support variable affect positively volunteer center's performance. Third, the contract out variable's effect as an operation types is not proven statistically. In case of estimating the multi organizational performance, lastly, the SUR method is prefer to the OLS method in the aspect methodology. However, more systemic study is complemented the panel data for organizational performance.

• International Commerce and Information Review
• /
• v.9 no.1
• /
• pp.235-257
• /
• 2007

In order to achieve the purpose, the present study reviews first research papers, both domestic and foreign, related to the e-SCM; it, then, sorts out the variables, economic and otherwise, that are believed to be the most important to the adaption factors of the e-SCM on Korean Hospitals. In recent days a growing concensus has been emerging among Korean Hospitals that a e-Supply Chain Management(SCM hereafter), if properly introduced and effectively managed, could secure a competitive edge in their Hospital business. Therefore, there is an urgent heed for an study that will attempt to find out the most significant factors, and most proprice Hospital environment, affecting the implementation of e-SCM in Korean Hospitals. For this study, 101 questionnaires were collected from the employee who is work at Korean Hospitals. We will make the concept by each variable clear through manipulative definition of each variable, also we will compose questions for the characteristics by each variable to be reflected. In relation to the questions required for the data analyses, 5 points Likert scale will use. The main findings are as follows: The relationship between the hospital types, hospital size and employee size and adaption degree of e-SCM was analyzed, respondents who had higher degree of hospital size and employee size showed higher level of adaption of e-SCM Regression analyses were carried out to examine the relative contribution of three set of variables on the adaption degree of e-SCM. This study explains that hospital environment factor, partner factor and IT infra factor are major factors in predicting the adaption degree of e-SCM. This study data has its limitation that collected by internet questionnaires. To present more solid data for the purpose of improving the study of e-SCM, further study which would complement the shortcomings is needed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.12 no.5
• /
• pp.39-53
• /
• 2017

The purpose of this study was to investigate the effects of the rural migration factors, degree of preparation for migration, lifestyle conditions and support policies reflected against the family satisfaction of the migration. In this study family factors were used as control variables. Independent variables for this study will consist of the factors of rural migration, the degree of preparation for migration, living conditions of the farmers and the support policies, where as the dependent variable is the satisfaction of migration with an adjusting factor of the family satisfaction which will be further analysed to identify its effects on the dependent variable. For this study, a questionnaire survey was conducted for the residents and 237 valid questionnaires were collected. Multiple regression analysis was performed based on the collected data where demographic attributes being the controlling variable, and regression analysis was performed for the adjusting variable of the family. As the economic factor increases, the level of satisfaction generated to be higher in rural migration. As for the degree of preparation, living condition and support policies resulted, great quantity of green nature, safety and agriculture startup support, respectively, indicated a positive effect to the satisfaction level of migration. From the results, adjustment effect of the family factors on the economic, nature, convenience and satisfaction of the migration have appeared. The conclusion of this study is that policy support, regional stability, and economic gain are the most important factors to increase satisfaction and to reduce re-migration rate to city.

• Journal of the Korean Society of School Health
• /
• v.29 no.3
• /
• pp.256-266
• /
• 2016

Purpose: This study was to compare and to examine the factors related to risk behaviors of adolescents living in small and medium-sized cities and in rural areas. Methods: The subjects were 545 adolescents (295 from small and medium-sized cities and 250 from rural areas). The data was analyzed by descriptive statistics, Pearson corelation coefficients, and multiple regression with IBM SPSS 19.0 program. Results: The factors influencing the risk behaviors of adolescents in small- medium cities were school, peer risk factors and community risk factors, self- control among protective factors, positive communication with parents, positive peer associations, these variables explained 42.0%. The most important variable explaining the risk behaviors of adolescents in small- medium cities was positive communication with parents, followed by community risk factors, peer risk factors, positive peer relationships, school and self-control. The factors affecting the risk behaviors of rural adolescents were school, personal risk factor, peer risk factor, self- control factor, which explained 38.5% of the risk behaviors of adolescents in rural areas. Among them, the most important variable explaining risk behaviors was personal risk factors, followed by peer risk factors, school, and self-control. Conclusion: These finding suggest a need to develop a strategy to improve positive communication with parents for adolescents living in small- medium cities and a strategy to reduce personal risk factors and peer risk factors for rural adolescents.

• The Journal of Korean Physical Therapy
• /
• v.1 no.1
• /
• pp.83-102
• /
• 1989

The purpose of this study is to analyse the factors affecting rehabilitation of physically disabled persons . Data were collected from 118 physically disabled persons who were registered at facilities for disabled persons by an interview surevey Conducted from October 17 to October 26, 1988. The three facilities for the survey were selected by stratified random sampling. The results were as follows : 1. Using factor analysis, 10 variables were-grouped into 4 factors : physical need, need for social problem-solving, need for social interaction and educational need. The proportion of variance explained by these factors was $58.3\%$. 2. Age, religion and job were significantly related to the functional life scale score, but other variables were not. 3. Family APGAR score and severity of disability were significantly rotated to the functional life scale score. 4. From the multiple regression analysis on rehabilitation of the physically disabled person, the following: three variables were statistically significant : age, severity of disability and family functioning. These results suggest that age, severity of disability and family functioning variables are important factors for rehabilitation of physically disabled persons. Since the family functioning variable can be controlled by care, rehabilitation team should monitor the variable closely to improve the efficiency of rehabilitation. Because of their implication for further study, some variables, other than those considered here, are needed for studying rehabilitation of physically disabled persons.

• International Journal of Highway Engineering
• /
• v.17 no.3
• /
• pp.117-124
• /
• 2015

PURPOSES : The purpose of this study is to verify traffic accident injury severity factors for elderly drivers and the relative relationship of these factors. METHODS : To verify the complicated relationship among traffic accident injury severity factors, this study employed a structural equation model (SEM). To develop the SEM structure, only the severity of human injuries was considered; moreover, the observed variables were selected through confirmatory factor analysis (CFA). The number of fatalities, serious injuries, moderate injuries, and minor injuries were selected for observed variables of severity. For latent variables, the accident situation, environment, and vehicle and driver factors were respectively defined. Seven observed variables were selected among the latent variables. RESULTS : This study showed that the vehicle and driver factor was the most influential factor for accident severity among the latent factors. For the observed variable, the type of vehicle, type of accident, and status of day or night for each latent variable were the most relative observed variables for the accident severity factor. To verify the validity of the SEM, several model fitting methods, including ${\chi}^2/df$, GFI, AGFI, CFI, and others, were applied, and the model produced meaningful results. CONCLUSIONS : Based on an analysis of results of traffic accident injury severity for elderly drivers, the vehicle and driver factor was the most influential one for injury severity. Therefore, education tailored to elderly drivers is needed to improve driving behavior of elderly driver.