• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.151-168
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• 2007

The corporate credit rating represents an assessment of the relative level of risk associated with the timely payments required by the debt obligation. In this study, the corporate credit rating model employs artificial intelligence methods including Neural Network (NN) and Case-Based Reasoning (CBR). At first we suggest three classification models, as partitioned neural networks, all of which convert multi-group classification problems into two group classification ones: Ordinal Pairwise Partitioning (OPP) model, binary classification model and simple classification model. The experimental results show that the partitioned NN outperformed the conventional NN. In addition, we put to use CBR that is widely used recently as a problem-solving and learning tool both in academic and business areas. With an advantage of the easiness in model design compared to a NN model, the CBR model proves itself to have good classification capability through the highest hit ratio in the corporate credit rating.

• Korean Journal of Acupuncture
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• v.33 no.2
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• pp.84-88
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• 2016

Objectives : To assess and compare the effectiveness of acupuncture treatment of depression in epilepsy children and adolescent's parents. Methods : 20 cases of depression in epilepsy children and adolescent's parents were investigated in Southern TCM Centre, Southern University College, Malaysia. Subjects were randomly divided into two groups; Acupuncture treatment group and Herbal medication treatment group. Family relationships questionnaires and Hamilton Depression Rating Scale were used before, after 4 weeks and 8 weeks treatments in order to investigate the effectiveness of treatment. Results : After 4 weeks Acupuncture treatment group showed significant reduction in the Hamilton Depression Rating Scale. On the other hand, after 8 weeks both groups showed significant reduction in Hamilton Depression Rating Scale. Conclusions : The result suggests that the effectiveness of Acupuncture treatment is comparable with treat of Herbal medication treatment to reduce parent's Hamilton Depression Rating Scale.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.571-578
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• 2005

Corporate credit rating analysis has drawn a lot of research interests in previous studies, and recent studies have shown that machine learning techniques achieved better performance than traditional statistical ones. This paper applies support vector machines (SVMs) to the corporate credit rating problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, the researcher uses a grid-search technique using 5-fold cross-validation to find out the optimal parameter values of kernel function of SVM. In addition, to evaluate the prediction accuracy of SVM, the researcher compares its performance with those of multiple discriminant analysis (MDA), case-based reasoning (CBR), and three-layer fully connected back-propagation neural networks (BPNs). The experiment results show that SVM outperforms the other methods.

• The Journal of Pediatrics of Korean Medicine
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• v.20 no.2
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• pp.147-175
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• 2006

Objective : This study is to investigate the method for assesment and diagnosis of ADHD, especially focusing on behavior rating scales. Methods : We searched the recent date of the publication and paper in ADHD. Results : For Assesment and Diagnosis of ADHD, various method such as interview with parents, child and teacher, behavior observation, behavior rating scales and neuropsychological test are used. The structured interview consists of the restrictive questions and response, and then have diagnostic algorithm, consequently can be used by untrained clinicians. Of the structured interview, standardization of K-SADS in Korean version is finished. Behavior rating scales, the form of parent, teacher and self-report questionnaires, are used as diagnosis and treatment evaluation of ADHD. Behavior rating scales consist of both ADHD-specific scales and broad-band scales designed to screen for various symptoms (including ADHD symptoms). ADHD-specific scales are useful in differential diagnosis, discrimination of subtype, treatment evaluation, However, broad-band scales are useful in preliminary examination. The neuropsychological tests can evaluate attention deficit and effect of attention deficit on cognitive function and academic performance. The neuropsychological tests also used in diagnosis and treatment evaluation of ADHD. Conclusion : For Assesment and Diagnosis of ADHD, various method are used, especially behavior rating scales are both useful and simple tool for diagnosis and treatment evaluation.

• Physical Therapy Rehabilitation Science
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• v.11 no.1
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• pp.1-7
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• 2022

Objective: The purpose of this study was to assess the validity of the global rating of knee function as a measure of participation restrictions experienced during activities of daily living and sports by patients with a history of anterior cruciate ligament reconstruction (ACLR). Design: Cross-sectional study. Methods: Forty-three subjects (33 males, 10 females, age=20.3 ± 1.3 years), at a mean of 31.2 ± 14.4 months following ACLR, participated in this study. During testing, subjects were first asked to provide a global rating of function by assessing their level of knee function on a 0 to 100 scale, with 0 points representing complete loss of function due to their knee injury and 100 points representing their level of function prior to their knee injury. After providing a global rating of function, subjects completed the Knee Outcome Survey (KOS) Activities of Daily Living Scale (ADLS) and Sports Activity Scale (SAS), which served as the measure of participation restrictions in this study. Results: Pearson product correlations revealed moderate relationships between the global rating of function and the ADLS (r=0.66, p<0.0001) and SAS (r=0.69, p<0.0001). Conclusions: The global rating of knee function provides a valid measure of participation restrictions experienced during activities of daily living and sports by patients with a history of ACLR.

• Journal of the Korean Operations Research and Management Science Society
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• v.25 no.3
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• pp.125-135
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• 2000

Many different statistical and artificial intelligent techniques have been applied to improve the predictability of credit rating. Hybrid models and systems have also been developed by effectively combining different modeling processes or combining the outcomes of individual models. In this paper, we introduced the rough set theory and developed a hybrid credit rating system that combines individual outcomes in terms of rough set theory. An experiment was conducted to compare the prediction capability of the system with those of other methods. The proposed system based on rough set method outperformed the others.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.7 no.2
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• pp.107-120
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• 1987

This study is directed for the evolution of the rational approaches to the systematic evaluation of the load carrying capacity of bridges based on the practical and second moment reliability methods. A new approach for the evaluation of load carrying capacity of exsisting bridges is proposed in this study. The key idea behind this approach is in the fact that the load carrying capacity of an existing bridges under extreme traffic truck loadings may be measured by evaluating and classifying the reliability state of the bridge in terms of reliability index(${\beta}$). The rating formulas developed in this study are applied for the evaluation of load carrying capacity of the several actual deteriorated bridges inspected and tested for the capacity rating, and the results are compared with those calculated by using the current rating formulas. It may be concluded that the proposed rating formulas which is derived based on reliability methods, have to eventually replace the current rating formula when the basic statistical data for the resistance and load effects become available in the near future.

• Journal of Sasang Constitutional Medicine
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• v.16 no.3
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• pp.46-58
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• 2004

1. Objectives This study was performed by means of perceptual evaluation of the voices of Sasang Constitution. 2. Methods 73 female subjects were classified by means of 3 kinds of Questionnaire papers(QSCCII, QSCCI, Sasang Pattern Identification Questionnaire). So they were categorized into 3 groups, 23 Soyangin, 28 Taeumin and 22 Soeumin. 73 voice samples were presented three times to a group of 5 judges. The time interval between ratings was 14 days. The four goals of this study were to evaluate the intraobserver reliability between each rating, to evaluate the interobserver reliability, to evaluate the reliability between the each rating and Questionnaire result and to make the notion of the consensus of Sasang Constitution's Voice. 3. Results & Conclusions The intraobserver reliability between the first and second rating showed significance statistically among all observers. And the intraobserver reliability between the second and third rating showed significance except one observer. The interobserver reliability among the three ratings showed significance statistically except one to two observers in the first rating and other one to another one in the second rating. In the reliability between the each rating and Questionnaire result, one in the first rating, other one in the second rating and another two in the third rating showed significance. To make the notion of the consensus of Sasang Constitution's Voice, classification into 4 categories was made: clear/hoarse, high/low, fast/slow, powerful/powerless. The voice of Soyangin group was classified as powerful and fast, and that of Taeumin group as powerful, hoarse and low and that of Soeumin group as powerless and slow.

• Journal of Technologic Dentistry
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• v.42 no.4
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• pp.394-401
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• 2020

Purpose: The present study is an analysis of the extents of class satisfaction of college students who had applied the design thinking technique to capstone design class. Methods: The experimental method involved an analysis of 122 cases of data where advance and post replies were performed for the subject by students who had applied the design thinking technique and students who had not. The students involved had attended the capstone design class as a junior in the Department of Dental Technology at D University. Results: In the satisfaction with performance process of the capstone design class, five questions among nine had a high positive rating, while all eight questions on the satisfaction with performance methods had a high negative rating. Among ten questions on subjective learning outcomes, six showed a high positive rating. After the application of the design thinking class method, all mean values of the group with the application were higher than the group with no application in satisfaction with performance process, satisfaction with performance method, and subjective class outcomes. Hence, the design thinking class did have positive effects on the students' improvement of class. Conclusion: Based on the results of the study, it is implied that the considerations about diverse class composition methods and operation methods capable of improving the students' satisfaction are needed for efficient operation of the capstone design class.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.71-76
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• 2003

The purpose of this study is the development, application and assessment of probability and artificial neural network methods for assessing landslide susceptibility in a chosen study area. As the basic analysis tool, a Geographic Information System (GIS) was used for spatial data management. A probability method was used for calculating the rating of the relative importance of each factor class to landslide occurrence, For calculating the weight of the relative importance of each factor to landslide occurrence, an artificial neural network method was developed. Using these methods, the landslide susceptibility index was calculated using the rating and weight, and a landslide susceptibility map was produced using the index. The results of the landslide susceptibility analysis, with and without weights, were confirmed from comparison with the landslide location data. The comparison result with weighting was better than the results without weighting. The calculated weight and rating can be used to landslide susceptibility mapping.