• 대한통합의학회지
• /
• 제10권3호
• /
• pp.107-117
• /
• 2022

Purpose : The purpose of this study was to establish a model of the predictive factors for success or failure of examinees undertaking the Korean physical therapist licensing examination (KPTLE). Additionally, we assessed the pass/fail cut-off point. Methods : We analyzed the results of 10,881 examinees who undertook the KPTLE, using data provided by the Korea Health Personnel Licensing Examination Institute. The target variable was the test result (pass or fail), and the input variables were: sex, age, test subject, and total score. Frequency analysis, chi-square test, descriptive statistics, independent t-test, correlation analysis, binary logistic regression, and receiver operating characteristic (ROC) curve analyses were performed on the data. Results : Sex and age were not significant predictors of attaining a pass (p>.05). The test subjects with the highest probability of passing were, in order, medical regulation (MR) (Odds ratio (OR)=2.91, p<.001), foundations of physical therapy (FPT) (OR=2.86, p<.001), diagnosis and evaluation for physical therapy (DEPT) (OR=2.74, p<.001), physical therapy intervention (PTI) (OR=2.66, p<.001), and practical examination (PE) (OR=1.24, p<.001). The cut-off points for each subject were: FPT, 32.50; DEPT, 29.50; PTI, 44.50; MR, 14.50; and PE, 50.50. The total score (TS) was 164.50. The sensitivity, specificity, and the classification accuracy of the prediction model was 99 %, 98 %, and 99 %, respectively, indicating high accuracy. Area under the curve (AUC) values for each subject were: FPT, .958; DEPT, .968; PTI, .984; MR, .885; PE, .962; and TS, .998, indicating a high degree of fit. Conclusion : In our study, the predictive factors for passing KPTLE were identified, and the optimal cut-off point was calculated for each subject. Logistic regression was adequate to explain the predictive model. These results will provide universities and examinees with useful information for predicting their success or failure in the KPTLE.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
• /
• pp.323-326
• /
• 2005

This paper introduces design method for air pump system using bond graph and genetic programming to maximize outflow subject to a constraint specifying maximum power consumption. The air pump system is a mixed domain system which includes electromagnetic, mechanical and pneumaticelements. Therefore an appropriate approach for a better system for synthesis is required. Bond graphs are domain independent, allow free composition, and are efficient for classification and analysis of models, Genetic programming is well recognized as a powerful tool for open-ended search. The combination of these two powerful methods for evolution of multi-domain system, BG/GP, was tested for redesign of air pump system.

• 한국의류학회지
• /
• 제22권1호
• /
• pp.80-88
• /
• 1998

To classify the bodytype at sight of front line of the body, 20 to 59 year-old 484 females were examined. 73 photographic and 16 anthropometric measurements were taken to each subject. The indices were used to obtain the shape factor of the bodytype. The principal component analysis was performed to obtain the shape factor of the front line of body and 6 factors were abstracted. The factor score was better than the measurements as the independent variable in applying the cluster analysis to classify the shape. As the result of the cluster analysis, the shape of the body at sight of the front line was classified in 4 types. It was named X, Y, A, H type. Considering the sizes, Y type was obese and H type was lean characteristically.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제51권11호
• /
• pp.528-534
• /
• 2002

This paper describes a technique for human sensibility evaluation using EEGs of 4 emotions. The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance suing the proposed method is about 72.6%. This may be promising performance in the human sensibility evaluation.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 하계학술대회 논문집 D
• /
• pp.2690-2692
• /
• 2002

This paper describes a technique for human sensibility evaluation using 10-channel EEG(electroencephalogram). The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as, relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance using the proposed method is about 72.6%. This will be promising performance in the human sensibility evaluation.

• 한국지능시스템학회논문지
• /
• 제16권2호
• /
• pp.228-233
• /
• 2006

This paper introduces design method for air pump system using bond graph and genetic programming to maximize outflow subject to a constraint specifying maximum power consumption. The air pump system is a mixed domain system which includes electromagnetic, mechanical and pneumatic elements. Therefore an appropriate approach for a better system for synthesis is required. Bond graphs are domain independent, allow free composition, and are efficient for classification and analysis of models. Genetic programming is well recognized as a powerful tool for open-ended search. The combination of these two powerful methods, BG/GP, was tested for redesign of air pump system.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2023년도 춘계학술발표대회
• /
• pp.517-518
• /
• 2023

최근 뇌-컴퓨터 인터페이스 분야에서는 뇌파 신호를 이용한 운동 심상 분류 연구가 활발히 이루어지고 있다. 뇌파는 개인별 차이가 큰 생체 신호로, 사용자에 독립적인 경우 추론이 어려워지는 문제가 있어 운동 심상 분류에서는 주로 피험자 종속적인 연구가 행해져 왔다. 본 논문에서는 컨볼루션 신경망 기반의 뇌파 분류 모델인 EEGNet 에 새로운 방식으로 개선한 Squeeze-and-Excitation block 을 적용해 피험자에 대해 독립적인 운동 심상 분류 성능을 향상시키는 방법을 제안하며, 제안한 Squeeze-and-Excitation block 을 적용한 모델이 기존 모델보다 높은 분류 성능을 보여주는 것을 실험적으로 확인하였다.

• 대한한의학회지
• /
• 제33권1호
• /
• pp.24-41
• /
• 2012

Objectives: This study reviewed research trends concerning the prevalence of complementary and alternative medicine (CAM) use and to suggest future research directions appropriate to medical circumstances in Korea. Methods: We searched for surveys of CAM use in 8 databases including 6 Korean databases, Ovid MEDLINE, and the CINAHL electronic database. Three independent reviewers working in pairs screened titles and abstracts of articles for eligibility. Full text was retrieved in case of disagreement on the eligibility. The main analysis targets included survey researcher's affiliation, terminology used in the title, study subject, definition of CAM, classifications of CAM modalities, and the area assortment of CAM and traditional Korean medicine (TKM). Results: 92 articles were included for analysis. The major constituent of affiliation was doctors (53%). According to years, study subjects were diversified to a large range of diseases. Since 2003, terminology is absorbed to use CAM. But actually, the most commonly used definition in the research was comprehensive such as "not generally considered part of major medicine" (55.4%) and the most used classification of CAM was self-criteria (61.9%). As for area assortment of CAM and TKM, many therapies exist in a gray zone between CAM and TKM. Conclusions: Standardized definition and classification criteria about CAM fit to the Korean healthcare system have not yet developed. For traditional Korean medicine academia, more concern should be paid to establishing appropriate development of definitions and classification criteria.

• 한국의류학회지
• /
• 제18권1호
• /
• pp.91-100
• /
• 1994

The purpose of the study is to investigate the actual conditions of ready-to-wear Hanbok and is to establish the standard sizes for the women's ready-to-wear Hanbok. Twelve ready-to-wear Hanbok shops were investigated for the actual survey. Body measurements were taken from May to June, 1990 from 329 female college students living in the Seoul and Buchon. The ages of the subjects were 18"26. Thirty seven measurements were taken from each subject and analized for the results. Data were analized by factor analysis, and regression analysis. The results were as follows ; 1. As a result of the actual survey, the situation of the quality label was not enough. The size classification was not unified, and was not trusted statistically, it cannot satisfied consumers. 2. Factor analysis identified the two dimensions of body measurements 1 one was relevant to the height measurements including stature and to the length measurements of limbs, and the other was relevant to the trunk girth measurements and the limbs girth measurements. 3. because of plane construction of Hanbok, employed in this thesis was bl-dimensional sizing system using two controle dimensions including height factor(stature) and girth factor(bust girth) . 4. The Multiple regression formula was developed for estimating secondary dimensions of Hanbok Construction, in which stature and bust girth were posited as independent variables. 5. As a results, about 88.6371 of expected distribution were covered by 9 sizes, which were used as the basis for defining sizing system for Hanbok construction.tion.

• 사상체질의학회지
• /
• 제23권4호
• /
• pp.458-470
• /
• 2011

1. Objectives Vocal characteristics are commonly considered as an important factor in determining the Sasang constitution and the health condition. We have tried to find out the classification procedure to distinguish the constitution objectively and quantitatively by analyzing the characteristics of subject's voice without noise and error. 2. Methods In this study, we extract the vocal features from voice selected with prior information, remove outliers, minimize the correlated features, correct the features with normalization according to gender and age, and make the discriminant functions that are adaptive to gender and age from the features for improving diagnostic accuracy. 3. Results and Conclusions Finally, the discriminant functions produced about 45% accuracy to classify the constitution for every age interval and every gender, and the diagnostic accuracy was meaningful as the result from only the voice.