• International Commerce and Information Review
• /
• v.14 no.3
• /
• pp.539-558
• /
• 2012

The purpose of this study is examining the differences of mobile SNS's service quality, which consists data quality and system quality, among the groups that are classified by commitment and customer loyalty. For the experimental analysis, the frequency analysis was performed for general characteristics of sample. The variables were selected by factor analysis that also prove the validity of variables. The value of Cronbach's alpha was calculated to check the reliability of variables. In addition, the group was determined by the both hierarchical and hierarchical cluster analysis, then ANOVA was performed to test the hypotheses that there are differences of mobile SNS's service quality, among the groups that are classified by commitment and customer loyalty. The results of this study support that there are differences among the groups toward mobile SNS's service quality and also shows the more commitment and loyalty group is the higher recognition of mobile SNS's service quality. Thus, the companies have to realize that mobile SNS is very important key factor to success in rapidly changing business environment. In conclusion, the companies implement different customized strategy for the different group and develop the contents and the applications to maximize the commitment and loyalty of for the mobile SNS users.

• Journal of The Korean Association of Information Education
• /
• v.24 no.4
• /
• pp.369-378
• /
• 2020

This paper examines inquiries generated in three different online educational programs in Korea at the secondary educational level. Data covers 12,023 inquiries recorded during the first semester of 2019 and the compared groups among three programs are divided by four criteria: its type, period, inquirer, and the way of response. Statistical comparisons using Chi-square test suggest that there are significant differences in frequency rates of inquiries among three programs. First, 'Program A' has more inquiries by student themselves, mostly in the middle of the semester about the contents. Second, inquiries are more frequent for 'Program B' by the coordinating teachers about system-related or evaluation-related questions, either at the beginning or the end of the semester. Third, in the case of 'Program C', parents of health-impaired students are the main inquirers who ask admin-related questions at the beginning of the semester. With respect to the way of response to inquiries, more than 95% of inquiries are answered immediately for all three programs. These quantitative findings are also supported qualitatively, by face-to-face interviews with operators of the three programs. Results of this paper can be used for educational practitioners and experts when they design and operate the customized online educational programs with different purposes and different target-students in the future.

• Korean Journal of Remote Sensing
• /
• v.36 no.3
• /
• pp.449-460
• /
• 2020

Super-resolution is a technique used to reconstruct an image with low-resolution into that of high-resolution. Recently, deep-learning based super resolution has become the mainstream, and applications of these methods are widely used in the remote sensing field. In this paper, we propose a super-resolution method based on the deep back-projection network model to improve the satellite image resolution by the factor of four. In the process, we customized the loss function with the edge loss to result in a more detailed feature of the boundary of each object and to improve the stability of the model training using generative adversarial network based on Wasserstein distance loss. Also, we have applied the detail preserving image down-scaling method to enhance the naturalness of the training output. Finally, by including the modified-residual learning with a panchromatic feature in the final step of the training process. Our proposed method is able to reconstruct fine features and high frequency information. Comparing the results of our method with that of the others, we propose that the super-resolution method improves the sharpness and the clarity of WorldView-3 and KOMPSAT-2 images.

• Journal of agricultural medicine and community health
• /
• v.42 no.2
• /
• pp.57-68
• /
• 2017

Objectives: This study was performed to build the predictive model of suicidal ideation of elderly men living alone. Methods: As for the subject, 251 subjects suitable for the selection criteria were selected among elderly men living alone above 65 years old in one region in Gyeongnam and three regions in Gyeongbuk. The data were collected via questionnaires and analyzed using SPSS version 20.0 and Amos version 18.0. Results: The goodness-of-fit test result of hypothetical model were suitable for recommended level: ${\chi}^2/df=1.47$, RMR=.04, GFI=.92, AGFI=.90, CFI=.95, IFI=.95, RMSEA=.04. Self-esteem, individual coping, family cohesion, social support, social activity, and depression explained 55% of the model of suicidal ideation. The most influential direct factor of suicidal ideation was self-esteem, and social isolation was the most influential indirect influence on suicidal ideation. Conclusion: To sum up the above results, if we promote the researched variables of self-esteem, family cohesion, social activity, individual coping and social support in addition to developing and utilizing an efficient customized suicidal prevention nursing intervention program thereby reducing depression and social isolation, suicidal ideation of elderly men living alone would be prevented.

• Journal of Environmental Policy
• /
• v.11 no.4
• /
• pp.85-105
• /
• 2012

In this paper, the energy efficiency of wastewater utilities was evaluated to explore ways to save energy via operational measures. The correlation of each wastewater characteristic parameter to energy was assessed to find a set of parameters that explained most of the variations in energy use among utilities. The results show that increases in inflow, influent COD concentration, and ratio of advanced treatment generally increased the energy use. On the other hand, increases in load factor (influentaverage flow/design flow) reduced the energy use. In the regression analysis, the energy efficiency was highest in the A2O advanced process. On the other hand, the membrane process (among the advanced processes) and the contacted aeration process (among the secondary processes) require more efforts in saving energy. However, the data base system related to energy use must be supplemented in order for more accurate analysis of energy consumption in wastewater treatment facilities. In particular, i) electricity consumption of relay pumps and, ii) energy usage per unit process, iii) pump power usage to discharge treated wastewater in a long distance, if necessary, and iv) alternative energy production and utilization status must be recorded. By utilizing the results of the analysis conducted in this study, it is possible to quantify a level of energy savings needed and establish customized energy saving measures to achieve a certain target level for benchmarking a successful case of wastewater utilities.

• Child Health Nursing Research
• /
• v.19 no.3
• /
• pp.159-167
• /
• 2013

Purpose: The purpose of this study is to find out preschool children's health status and their mothers' health management in the vulnerable classes. Methods: The assessment tool was developed, taken into consideration existing studies, materials produced by the customized visiting health care system, and review of visiting nurses of health centers and related experts. Data were collected January to February 2010 from 259 mothers by visiting nurses, and analyzed using SAS program for descriptive statistics. Results: Body weight less than 3 percentile was found for 5.0% children and over 97 percentile for 7.7%. Atopy was found in 17.8% children, no hand-washing after toileting and before meal in 30.9% and 36.7% respectively, no breakfast in 15.8%, and irregular meal in 32.0%. Sex education was made by 45.7% mothers, regular dental check by 56.6%, and hearing and eyesight test by 61.1% and 66.8% respectively. Home environment for upbringing is 34.3 in the scale of 41, and accident prevention 17.5 in the scale of 22. Conclusion: It is necessary to make an intervention on children's weight, personal sanitation and meal time in the vulnerable classes. Mothers need to be educated for appropriate health care, and home environments to improve upbringing and accident prevention.

• Journal of Dental Rehabilitation and Applied Science
• /
• v.34 no.3
• /
• pp.157-166
• /
• 2018

Purpose: This study was aimed to compare the consistency between the custom abutment design and the output in two CAD software programs. Materials and Methods: Customized abutments were designed by using 3Shape Dental System CAD software and Delta9 CAD software on a plaster model with implants (CRM STL file). After milling of the designed abutments, the abutments were scanned with a contact method scanner (Test STL file). We overlaid the Test STL file with each CRM STL file by using inspection software, and then compared the milling reproducibility by measuring the output error of the specimens from each CAD software program. Results: The Delta9 showed better milling reproducibility than 3Shape when comparing the milling errors obtained with a full scan of all specimens (P < .05) and also when comparing the axial wall region specifically according to the axial angle. With 0.9 mm marginal radius, the Delta9 showed better consistency between the design and the output than 3Shape (P < .05). While, anti-rotation form had no significant difference in error between the two systems. When cumulative errors were compared, the Delta9 showed better milling reproducibility in almost cases (P < .05). Conclusion: Delta9 showed a significantly smaller error for most of the abutment design options. This means that it is possible to facilitate generation of printouts with reliable reproducibility and high precision with respect to the planned design.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.2
• /
• pp.13-20
• /
• 2020

One of the major issues surrounding big data is the availability of massive time-based or telemetry data. Now, the appearance of low cost capture and storage devices has become possible to get very detailed time data to be used for further analysis. Thus, we can use these time data to get more knowledge about the underlying system or to predict future events with higher accuracy. In particular, it is very important to define custom tailored contract offers for many households and businesses having smart meter records and predict the future electricity usage to protect the electricity companies from power shortage or power surplus. It is required to identify a few groups with common electricity behavior to make it worth the creation of customized contract offers. This study suggests big data transformation as a side effect and clustering technique to understand the electricity usage pattern by using the open data related to smart meter and KNIME which is an open source platform for data analytics, providing a user-friendly graphical workbench for the entire analysis process. While the big data components are not open source, they are also available for a trial if required. After importing, cleaning and transforming the smart meter big data, it is possible to interpret each meter data in terms of electricity usage behavior through a dynamic time warping method.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.11
• /
• pp.143-156
• /
• 2010

Faced with an increase of malicious threats from the Internet as well as local area networks, many companies are considering deploying a security system. To help a decision maker select a suitable security tool, this paper proposed a three-step integrated framework using linear fuzzy regression (LFR) and physical programming (PP). First, based on the experts' estimations on security criteria, analytic hierarchy process (AHP) and quality function deployment (QFD) are employed to specify an intermediate score for each criterion and the relationship among these criteria. Next, evaluation value of each criterion is computed by using LFR. Finally, a goal programming (GP) method is customized to obtain the most appropriate security tool for an organization, considering a tradeoff among the multi-objectives associated with quality, credibility and costs, utilizing the relative weights calculated by the physical programming weights (PPW) algorithm. A numerical example provided illustrates the advantages and contributions of this approach. Proposed approach is anticipated to help a decision maker select a suitable security tool by taking advantage of experts' experience, with noises eliminated, as well as the accuracy of mathematical optimization methods.

• Journal of the Korean Society of Physical Medicine
• /
• v.13 no.1
• /
• pp.27-38
• /
• 2018

PURPOSE: The purpose of this study was to find out the treatment patterns of Children with cerebral palsy, and to analyze the effect of physical function level and treatment intensity on improvement of physical function in children with cerebral palsy for six months. METHODS: Participants were 126 children (boys 83, girls 43) diagnosed cerebral palsy that the mean age was at 33months, ranged from 8 months to 77 months. We collected data related on demography and disable characteristic, treatment pattern using by questionnaire constructed ourselves for six months on caregivers. The treatment pattern includes, type, frequency, and institute of treatment. We performed the evaluation of Gross Motor Function Measurement (GMFM) and Pediatric Evaluation of Disability Inventory (PEDI) between pre and post for six months in order to find out improvement of physical function. We analyzed the effect of physical functional level measured by Gross Motor Functional Classification system, age, treatment intensity on physical function using by repeated measures ANOVA for SPSS PC ver. 22.0. RESULTS: The average of treatment frequency for physical therapy was 5.74 times per week, occupational therapy was 3.96 times, speech therapy was 2.96 times, treatment for accompanying disability was 3.12 times. Physical function level and age was significantly factors affecting improvement of physical function, there was no significant difference according to treatment intensity. CONCLUSION: We suggest that physical function and age might be important factors on improvement of physical function and professional rehabilitation team must consider the appropriate treatment type customized to each children.