• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.434-437
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• 2007

Maps contain and effectively visualize a number of spatial information. Advances in GIS enable researchers to analyze and represent spatial information through digital maps. Choropleth maps represent different quantities showing usually rates, percentages or densities. Generally, researchers make choropleth maps using raw rates. But, if the events are rare, raw rates cannot be sufficient in representing spatial phenomena. That is to say, if the population is large and events are rare, we cannot be sure that the raw rate is correct. The objective of this study is to make choropleth maps by several rate calculation methods and compare them. We use three methods in choropleth mapping; a raw rate, empirical Bayesian method, and spatial rate method which use prior probabilities. The experiments reveal that maps are somewhat different by used methods. We suggest that a raw rate method can not be an only way to make a rate map and researchers should choose an appropriate method for their objectives.

• 대한예방의학회:학술대회논문집
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• 1994.02b
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• pp.158-163
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• 1994

Slightly elevated urinary albumin excretion rate (microalhuminuria) is a marker of early diabectic nephropathy, but it is unclear if the established definition of microalbuminuria ($20-200{\mu}g/min$) is correct for children and adolescents. We investigated th.: albumin excretion rate, albumin/creatinine ratio and urinary albumin concentration in 150 healthy schoolchildren and adolescents to (a) obtain a reterence value for albumin excretion rate, (b) relate albumin excretion to pubertal stages and (c) evaluate albumin/creatinine ratio and morning albumin concentration as screening methods for elevated albumin excretion rate. Albumin concentration was measured by immunoturbidimetry in timed overnight urine samples. The albumin excretion showed a skewed distribution (geometric mean $3.2{\mu}g/min$, 95 percentile ($15.1{\mu}g/min$). In girls. a peak in the albumin excretion rate was found at the pubertal stage 4 (Tanner) and in boys at stage 5. Albumin/creatinine ratio of 2.5 mg/mmol as a screening level for elevated albumin excretion ($15{\mu}g/min$) showed a high positive (0.88) and negative (0.99) predictive value.

• The Korean Journal of Health Service Management
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• v.11 no.3
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• pp.37-49
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• 2017

Objectives : This study analyzes the characteristics of prescription drugs for acute upper respiratory tract infection in outpatient clinics and provides basis for establishing the correct evaluation project on appropriate prescribing indicators. Methods : Research data were collected from two for each family medicine, internal medicine, pediatric, otorhinolaryngology and general practitioner clinics with a total of 10 clinics with diseases classifications codes J00-J06, J20 on patients receiving treatment between January 1, 2013 and December 31, 2013 every Monday in Busan City. Results : The antibiotic prescription rate in evaluating the project on appropriate prescribing indicators of Health Insurance Review & Assessment Service was 44.3%, whereas this study was approximately 30% higher because analysis to target the entire cold-related diagnosis. Conclusions : The correct antibiotic prescription by expanding the current assessment standard should be identified as a minor diagnosis because the evaluation project on appropriate prescribing indicators targets the major diagnosis only.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2720-2736
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• 2013

Multi-view face detection has become an active area for research in the last few years. In this paper, a novel multi-view human face detection algorithm based on improved real Adaboost is presented. Real Adaboost algorithm is improved by weighted combination of weak classifiers and the approximately best combination coefficients are obtained. After that, we proved that the function of sample weight adjusting method and weak classifier training method is to guarantee the independence of weak classifiers. A coarse-to-fine hierarchical face detector combining the high efficiency of Haar feature with pose estimation phase based on our real Adaboost algorithm is proposed. This algorithm reduces training time cost greatly compared with classical real Adaboost algorithm. In addition, it speeds up strong classifier converging and reduces the number of weak classifiers. For frontal face detection, the experiments on MIT+CMU frontal face test set result a 96.4% correct rate with 528 false alarms; for multi-view face in real time test set result a 94.7 % correct rate. The experimental results verified the effectiveness of the proposed approach.

• Journal of Korea Technology Innovation Society
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• v.9 no.2
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• pp.304-324
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• 2006

There were considerable researches by finance people trying to find out business ratios as predictors of corporate bankruptcy. However, such financial ratios usually lack theoretical justification to predict bankruptcy for technology-oriented small sized venture firms. This study proposes a bankruptcy predictive discriminant model using technology evaluation data instead of financial data, evaluates the model fit by the correct classification rate, cross-validation method and M-P-P method. The results indicate that linear discriminant model was found to be more appropriate model than the logistic discriminant model and 69% of original grouped data were correctly classified while 67% of future data were expected to be classified correctly.

• Journal of Communications and Networks
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• v.17 no.5
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• pp.491-498
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• 2015

Recognition of radar emitter signals is one of core elements in radar reconnaissance systems. A novel method based on singular value decomposition (SVD) and the main ridge slice of ambiguity function (AF) is presented for attaining a higher correct recognition rate of radar emitter signals in case of low signal-to-noise ratio. This method calculates the AF of the sorted signal and ascertains the main ridge slice envelope. To improve the recognition performance, SVD is employed to eliminate the influence of noise on the main ridge slice envelope. The rotation angle and symmetric Holder coefficients of the main ridge slice envelope are extracted as the elements of the feature vector. And kernel fuzzy c-means clustering is adopted to analyze the feature vector and classify different types of radar signals. Simulation results indicate that the feature vector extracted by the proposed method has satisfactory aggregation within class, separability between classes, and stability. Compared to existing methods, the proposed feature recognition method can achieve a higher correct recognition rate.

• Education of Primary School Mathematics
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• v.12 no.2
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• pp.117-132
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• 2009

The purpose of this study was analysis on types of strategies and errors when the sixth grade students were solving proportion problems of mathematics textbooks. For this study, proportion problems in mathematics textbooks were investigated and 17 representative problems were chosen. The 277 students of two elementary schools solved the problems. The types of strategies and errors in solving proportion problems were analyzed. The result of this study were as follows; The percentage of correct answers is high if the problems could be solved by proportional expression and the expression is in constant rate. But the percentage of correct answers is low, if the problems were expressed with non-constant rate.

• Korean Parent-Child Health Journal
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• v.14 no.1
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• pp.9-17
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• 2011

Purpose: The objective of this study is to investigate the knowledge and attitude on the contraception and induced abortion in female high school students for providing the fundamental data in developing a practical sexuality education program for the healthy conception and childbirth in female high school students who are in the child-bearing age. Also, this study provides some foundational data for developing prevention education, counsel, and nursing intervention programs. Methods: Data were collected from 270 high school girls by self-report questionnaires from August 1, to September 31, 2010. Data was analyzed by percentage and Pearson correlation coefficient using SPSS/WIN 17.0. Results: The correct rate of contraception and induced abortion were 43.3% and 48.8% respectively. Participants had a moderate attitude toward contraception and a permissive attitude toward induced abortion. Participants who had high score and home sex education were higher correct rate than any other. Conclusion: This study indicates that efforts should be made to provide education on contraception and induced abortion to high school girls to increase awareness. Also, educational programs should be designed to improve knowledge as well as promote a more positive attitude toward contraception and induced abortion.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.121-132
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• 2019

Objectives: This study analyzed the prescription antibiotics characteristics of Acute respiratory infection outpatients. It provides a basis for establishing the correct evaluation project on appropriate prescribing indicators. Methods: The research data were collected from the National Health Insurance Corporation's 2014 sample cohort for Internal Medicine, Pediatrics, Otorhinolaryngology, Family Medicine and General practitioner clinics classification of diseases codes J00-J06, J20-J22, J40 outpatients. Results: The antibiotic prescription rate on the evaluation project for appropriate prescribing indicators of Health Insurance Review & Assessment Service was 43.54%, whereas in this study it was about 10% higher because the analysis targeted the entire acute respiratory infection diagnosis. Conclusions: There is a need to identify the correct antibiotic prescription by expanding the current assessment standard. Such standard must include acute lower respiratory infections and minor diagnosis because current evaluation projects on appropriate prescribing indicators targets only the major diagnosis of acute upper respiratory infection.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.4
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• pp.59-66
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• 2020

Purpose : This study aimed to present normative data for older Korean adults completing the Yonsei dual task cognitive screening test (Y-DuCog) and identify changes in cognitive function on the Montreal Cognitive Assessment - Korean (MoCA-K) with age. Methods : From May 2019 to August 2019, 195 healthy adults aged ≥60 years participated in this study. All participants completed the Y-DuCog to assess their dual-task performance and the MoCA-K to assess their cognitive function. Participants were divided into three groups based on their age: 60~69 years, 70~79 years, and ≥80 years. Results : The results of the Y-DuCog showed that dual-task performance time, effect, and correct response rate decreased significantly with age (p<.001). Scores from the three groups showed differences on all items (p<.001). Cognitive function on the MoCA-K also decreased significantly with age (mean score ± standard deviation [SD]; 27.33 ± 2.61 in subjects aged 60~69 years; 24.82 ± 3.20 in subjects aged 70~79 years; and 22.10 ± 4.91 in subjects aged ≥80 years; p<.001). Conclusions : Occupational therapists should be aware of the decline in cognitive function and dual-task performance time, effect, and correct response rate in older adults and consider interventions to treat this decline. Further studies are needed with larger groups of participants to examine factors, such as sex and education, that may impact dual-task performance and cognitive function.