• Korean Security Journal
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• no.34
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• pp.161-184
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• 2013

The purpose of this research is to achieve qualitative growth for private security industry as a sector of service industry to attract clients and promote the growth of the private security industry by analyzing the factors which influence the customer's service satisfaction in using the private security services. A regression analysis was conducted to determine the factors which influences the satisfaction of private security service to ultimately achieve the research purpose. In the regression analysis, the difference between corporate clients and individual clients were analyzed for the sake of providing better security services and marketing applications. As a result, the factors that influences the satisfaction of the categorized groups were very clearly signified. Both individual and corporate clients showed increase in satisfaction rate when the fear of crime decreased. This result implies that the private security firms must possess segmented strategies as well as strategies to lower the fear factors of clients. There were no differences in all satisfaction-influencing factors when the fear reduction variable was exempted among both corporate and individual clients in usage satisfaction. This result shows that clients demand varies according to the client and the security firms must react to these demands by the clients. Although private security industry possess very clear publicity, it is a profit generating industry sector therefore, like other service industry, the private security services must implement strategies to keep up with the paradigm. If the satisfaction determinants from the research results are grafted into strategies such relationship marketing and target market selection, higher service satisfaction can be achieved from the clients.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.367-382
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• 2018

Prediction models for a corporate bond rating in existing studies have been developed using various models such as linear regression, ordered logit, and random forest. Financial characteristics help build prediction models that are expected to be contained in the assigning model of the bond rating agencies. However, the ranges of bond ratings in existing studies vary from 5 to 20 and the prediction models were developed with samples in which the target companies and the observation periods are different. Thus, a simple comparison of the prediction accuracies in each study cannot determine the best prediction model. In order to conduct a fair comparison, this study has collected corporate bond ratings and financial characteristics from 2013 to 2017 and applied prediction models to them. In addition, we applied the elastic-net penalty for the linear regression, the ordered logit, and the ordered probit. Our comparison shows that data-driven variable selection using the elastic-net improves prediction accuracy in each corresponding model, and that the random forest is the most appropriate model in terms of prediction accuracy, which obtains 69.6% accuracy of the exact rating prediction on average from the 5-fold cross validation.

• Membrane Journal
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• v.27 no.4
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• pp.358-366
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• 2017

The most important factor in the performances of polymer electrolyte membranes for fuel cells is how fast hydrogen ions can be transported along the water channel formed inside the electrolyte membrane. Since the morphology of the water channel and the diffusivity of the protons are very important factors for the proton transport behavior, various molecular dynamics simulation studies are being carried out to clarify this. The force-field is an important variable parameterizing the movement and interaction of each atom in molecular dynamics simulation. In this study, proton diffusivities of the 3D models of polymer electrolyte membranes were calculated in order to analyze the effects of various types of force-fields on the molecular simulation. It has been found that the charge value determining the non-bonding interaction plays a very important role in the formation of the water channel morphology, and the COMPASS force-field can calculate the accurate proton diffusion behavior. Accordingly, for molecular dynamics simulation of polymer electrolyte membranes, the proper selection of the force-field is very important due to its great effect on the proton diffusion as well as the final molecular structure.

• Korean journal of applied entomology
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• v.43 no.4 s.137
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• pp.311-315
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• 2004

The brown planthopper, Nilaparvata lugens, is among the most serious insect pests of rice. It is widely distributed in Asia, Australia and Pacific islands. An earlier mitochondrial DNA study revealed that there exist significant genetic differences between populations north and south of the Red River Delta region in Vietnam. However the mitochondrial DNA was not sufficiently variable to examine the sources of immigration. For a more detailed analysis of geographic population structure of N. lugens, we developed microsatellite markers. Thirty-seven putative microsatellite loci were isolated using a magnetic biotin method, and five primer pairs designed from the flanking regions of sequenced microsatellite clones were labeled with fluorescent. Of these five primer sets, two have proven to be useful across all the samples we used in this study. We used variation at these two microsatellite loci to test the hypothesis that N. lugens biotypes (1, 2, and 3) sampled from laboratory selection constituted distinct genetic units. Allele frequency differences among the three major biotype categories were not significantly different at one locus (27035). However, the other (7314) did show differences among the major three biotypes. The methods we describe here will be useful for studying population structure of crop pest and for tracking the patterns of migratory pest like the rice planthoppers.

• Therapeutic Science for Rehabilitation
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• v.5 no.2
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• pp.57-69
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• 2016

Objective: The purpose of this study was to systematically review the articles using accelerometer to measure activity of daily living of patients with stroke. Methods: Depending on selection criteria, 13 studies were searched for PubMed, EMBASE, and Cochrane library database from February 2014 to March 2014. A total of 331 papers were searched, and 13 of these were selected. Results: In studies of 13 selected, acute, subacute, and chronic patients with stroke were enrolled. The kind of accelerometer was uniaxial, biaxial, and triaxial, activity monitor. Measurement activities were mainly arm activity, walking activity, and attachment sites were also various depending on the measurement activities. A measured variable was the total number of activities, the movement speed of the patients, ratio between affected and non-affected, and motion analysis. The result indicated that significant correlation with the other assessment tools in all studies. Conclusions: Accelerometer will be applied with a tool for measuring activity of daily living of patients with stroke, depending on activities characteristics. Further, we need accelerometer studies to apply with a variety of assessment in clinical practice or community settings.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.7
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• pp.53-60
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• 2009

Motion estimation for H.264/AVC video CODEC is very complex and requires a huge amount of computational efforts because it uses multiple reference frames and variable block sizes. We propose the architecture of high-performance integer-pixel motion estimation circuit based on fast algorithms for multiple reference frame selection, block matching, block mode decision and motion vector estimation. We also propose the architecture of high-performance interpolation circuit for sub-pixel motion estimation. We described the RTL circuit in Verilog HDL and synthesized the gate-level circuit using 130nm standard cell library. The integer-pixel motion estimation circuit consists of 77,600 logic gates and four $32\times8\times32$-bit dual-port SRAM's. It has tile maximum operating frequency of 161MHz and can process up to 51 D1 (720$\times$480) color in go frames per second. The fractional motion estimation circuit consists of 22,478 logic gates. It has the maximum operating frequency of 200MHz and can process up to 69 1080HD (1,920$\times$1,088) color image frames per second.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.1861-1864
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• 2016

Although early diagnosis of thyroid nodule type is very important, the diagnostic accuracy of standard tests is a challenging issue. We here aimed to find an optimal combination of factors to improve diagnostic accuracy for distinguishing malignant from benign thyroid nodules before surgery. In a prospective study from 2008 to 2012, 345 patients referred for thyroidectomy were enrolled. The sample size was split into a training set and testing set as a ratio of 7:3. The former was used for estimation and variable selection and obtaining a linear combination of factors. We utilized smoothly clipped absolute deviation (SCAD) logistic regression to achieve the sparse optimal combination of factors. To evaluate the performance of the estimated model in the testing set, a receiver operating characteristic (ROC) curve was utilized. The mean age of the examined patients (66 male and 279 female) was $40.9{\pm}13.4years$ (range 15- 90 years). Some 54.8% of the patients (24.3% male and 75.7% female) had benign and 45.2% (14% male and 86% female) malignant thyroid nodules. In addition to maximum diameters of nodules and lobes, their volumes were considered as related factors for malignancy prediction (a total of 16 factors). However, the SCAD method estimated the coefficients of 8 factors to be zero and eliminated them from the model. Hence a sparse model which combined the effects of 8 factors to distinguish malignant from benign thyroid nodules was generated. An optimal cut off point of the ROC curve for our estimated model was obtained (p=0.44) and the area under the curve (AUC) was equal to 77% (95% CI: 68%-85%). Sensitivity, specificity, positive predictive value and negative predictive values for this model were 70%, 72%, 71% and 76%, respectively. An increase of 10 percent and a greater accuracy rate in early diagnosis of thyroid nodule type by statistical methods (SCAD and ANN methods) compared with the results of FNA testing revealed that the statistical modeling methods are helpful in disease diagnosis. In addition, the factor ranking offered by these methods is valuable in the clinical context.

• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.319-330
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• 2000

This study is aimed at analyzing the trend of research on the use of exercise in nursing research, through suggesting directions for future research and implementation of the various exercise therapies. Research studies were taken from dissertations and theses selected from the Academic Society Journals of nursing science, Journals from universities, medical and nursing schools, research institutes in various universities, the Central Journal of Medicine, and the New Medical Journal. The research published between 1970 and 1997 in Korea were analyzed, 51 research were selected. The research are analyzed according to: published time, source of the research, research design, subjects, sample size, dependant variables, exercise therapy, and effect of exercise therapy. The results were as follows: 1. Research on exercise therapy increased rapidly in the 1990's. At this time, 88.2% of research was published. 2. Research areas included: 54.9% non- degree research, 27.5% Doctoral theses, and 17.6% Master's theses. 3. The experimental design included: 66.7% non- equivalent control group pre-test/ post-test design and 29.4% one group pre-test/post- test design. 4. Out of the Subjects: 52.9% were patients with various health problems, and 47.1% were healthy individuals. 5. Sample size included: 52.9% with above 31 subjects, 11.8% with 11~15 and 26~30. 6. Exercise therapy was analyzed by type, intensity, frequency, duration, and period. 1) The Types: Aerobic exercise at 60.8% was the most common, active exercise for muscle strengthening and building made up 21.6%. 2) Exercise with 40~65% intensity comprised 25.5%, 70~85% with 7.8%, and no description of the intensity was 66.7%. 3) Frequency of 3~5 per week was the most common at 78.4%. 4) Duration: 15~60 minutes was the most common length of time at 76.5%. 5) Periods: More than 5 weeks at 82.3% were the most common in their categories. 7. Dependant variables: Psychological response was measured as a dependant variable in 92.2%, Cardio-pulmonary function 88.2%, Body Composition was 86.3%, Physical Response was 60.8%, Lipid Metabolism was 58.8%, Physical Strength was 49.0%, Glucose Metabolism was 25.5%, Activities of Daily Living was 17.6% and others added to be 3.9%. 8. The effect of Exercise Therapy was categorized into 'positive', 'partially positive', and 'no effect' according to dependant variables: Having a positive effect - Glucose Metabolism (93.3%), Physical Response (85.0%), Activities of Daily Living (81.8%), Psychological Response (71.6%), Lipid Metabolism (67.6%), Cardio- pulmonary Function (63.6%), Physical Strength (68.1%), and Body Composition (56.4%). The following suggestions can be made on the above findings: 1. Research findings on Exercise Therapy as a Nursing Intervention need to be described by their elements of type, intensity, frequency, duration and period. 2. Toproperly study the positive effects of Exercise Therapy, there needs to be ⑴ appropriate research design, ⑵ selection criteria for the subjects ⑶ contents of exercise prescription to individuals or groups ⑷ measurement criterion for the dependent variables. 3. Meta-analysis on exercise therapy also needs to be done to analyze and integrate the various results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4403-4410
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• 2011

The purpose of this study was to investigate on the safety knowledge level, and to identify the factors that affect the safety knowledge according to general characteristics of scuba divers. This research design was a descriptive study. Data of 179 scuba divers were collected from October 17, 2010 to June 17, 2011. Data were analyzed by SPSS PASW statistics 18.0 program. The mean score of safety knowledge related to diving was 2.07(${\pm}0.54$)(score range was 1~4). The highest score was safety knowledge to cope with the cold($2.42{\pm}0.64$점). The lowest score was safety knowledge for hyperexpansion of lungs. In the results of multivariate regression analysis after variable selection, Adjusted $R^2$ value was 0.567. The model fit was 56.7%. The factors that affect the safety knowledge were age(${\leqq}29$ years), equipment(all purchase, some lease), motivation(job), participation period(${\leqq}11$ months) and frequency(once a month)(p<.05, p<.001). It is necessary to develop and conduct the educational program for scuba divers safety at country level.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.7
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• pp.283-292
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• 2013

In order to ensure high performance, all the servers in an existing server cluster are always On regardless of number of real-time requests. They ensure QoS, but waste server power if some of them are idle. To save energy consumed by servers, the server power mode control was developed by shutdowning a server when a server is not needed. There are two types of server power mode control depending on when a server is actually turned off if the server is selected to be off: static or dynamic. In a static mode, the server power is actually turned off after a fixed time delay from the time of the server selection. In a dynamic mode, server power is actually turned off if all the services served in the server are done. This corresponds to a turn off after a variable time delay. The static mdoe has disadvantages. It takes much time to find an optimal shutdown time manually through repeated experiments. In this paper, we propose a dynamic shutdown method to overcome the disadvantages of static shutdown. The proposed method allows to guarantee user QoS with good power-saving because it automatically approaches an optimal shutdown time. We performed experiments using 30 PCs cluster. Experimental results show that the proposed dynamic shutdown method is almost same as the best static shutdown in terms of power saving, but better than the best static shutdown in terms of QoS.