• 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.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.10
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• pp.123-129
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• 2010

During the past 2 decades, many electric power companies have been searching various solutions in order to supply power with economical and more efficiency in the present transmission utilities. Most interesting method to increase the line capacity of overhead transmission lines without constructing any new line might be to adapt Dynamic Line Rating(DLR). Specified rating is normally determined by any current level, not by conductor temperature. Although specified rating is essential to design transmission line, dip may be the most important factor in limiting transmission capacity. Transmission lines built by the oldest dip criterion among the 3 different design criteria for conductor dip are nearly over one-half of all Kepco's transmission lines. This paper describes an up-rating method for those transmission lines in order to apply DLR technique. Based on limit dip conductor temperature and current of the transmission lines, limitation performance and effectiveness in applying DLR with weather model are analyzed. As a result of analysis, it can be shown that an improved method could be effectively used for increasing the line rating of old transmission line which was built by the design criterion with low dip margin.

• Fire Science and Engineering
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• v.18 no.4
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• pp.93-102
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• 2004

The function of fire barrier penetration sealing is highly important to confine a fire propagation a fire severity within a fire area where the fire started. Especially for the penetration seals at the nuclear power plants with the long-term operated history, it is needed to make it clear that the conformance to the sealing requirements has been proven to guarantee the fire-resistive performance of fire barrier penetration parts. If there are any parts of fire barrier penetration sealing which can not meet the required rating for the fire endurance performance, the relevant parts must be modified to meet regulatory requirements. At this paper, the engineering analysis methodology was established to approximate the fire endurance rating for the fire barrier penetration seals. With this study, the method of engineering analysis to decide fire endurance rating for the fire barrier penetration seals was established and this way can be utilized to check the performance of the fire rating for the penetration seal at the domestic nuclear power plants.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.10a
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• pp.517-526
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• 2004

In the resent years, the early evaluation of concrete quality, construction and maintenance has been considered as all is of major concern due to the increase of loading and the degradation of structures related with time. This paper presents evaluation of structural safety performance using measured data of construction, on the basis of a field measurements for the prevention of unreliable concrete works. Measurements analyzed in this paper are early quality condition and performance assessment, serviceability performance by cracks and deflection, rating performance by loading, durability performance by chloride attack and carbonation. Thus, a quantitative assessment model of resistance capacity was developed here to meet the requirement for deteriorated concrete structures. The model focuses on damage mechanical of concrete structures deteriorated by initial damage factors for concrete quality and environment factors such as chloride and carbonation attacks. These results could provide useful information for concrete structures interested in design, construction and maintenance.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.83-89
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• 2022

As a representative technique of recommender systems, collaborative filtering has been successfully in service through many commercial and academic systems. This technique recommends items highly rated by similar neighbor users, based on similarity of ratings on common items rated by two users. Recently research on time-aware recommender systems has been conducted, which attempts to improve system performance by reflecting user rating time of items. However, the decay rate uniform to past ratings has a risk of lowering the rating prediction performance of the system. This study proposes a rating time-aware similarity measure between users, which is a novel approach different from previous ones. The proposed approach considers changes of similarity value over time, not item rating time. In order to evaluate performance of the proposed method, experiments using various parameter values and types of time change functions are conducted, resulting in improving prediction accuracy of existing traditional similarity measures significantly.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.1
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• pp.61-75
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• 2007

The purpose of this paper is to develop a new group classification method based on genetic algorithm and to com-pare its prediction performance with those of existing methods in the area of bond rating. To serve this purpose, we conduct various experiments with pilot and general models. Specifically, we first conduct experiments employing two pilot models : the one searching for the cluster center of each group and the other one searching for both the cluster center and the attribute weights in order to maximize classification accuracy. The results from the pilot experiments show that the performance of the latter in terms of classification accuracy ratio is higher than that of the former which provides the rationale of searching for both the cluster center of each group and the attribute weights to improve classification accuracy. With this lesson in mind, we design two generalized models employing genetic algorithm : the one is to maximize the classification accuracy and the other one is to minimize the total misclassification cost. We compare the performance of these two models with those of existing statistical and artificial intelligent models such as MDA, ANN, and Decision Tree, and conclude that the genetic algorithm-based group classification method that we propose in this paper significantly outperforms the other methods in respect of classification accuracy ratio as well as misclassification cost.

• Journal of Labour Economics
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• v.31 no.3
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• pp.47-74
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• 2008

Following two pioneering works, Medoff and Abraham(QJE 1980; JHR 1981) and Flabbi and Ichino(LE 2001) which use performance rating of personnel data as individual worker's productivity, this study replicates their analysis using a Korean large firm's personnel data(2000, male white collar workers). According to their methods through Mincerian earnings function, and multinomial logit model that links the distribution of wages and performance ratings, we find that seniority wages appeare continuously even if individual worker's productivity is controlled. Therefore we conclude that incentive or deferred compensation theory is more suitable than human capital theory.

• Proceedings of the Korean Association for Survey Research Conference
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• 2000.06a
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• pp.89-115
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• 2000

The present study attempts to (1) identify the critical dimensions that affect job performance of computer programmers and (2) clarify the specific behaviors that are related to each performance dimension, and measure them fairly and accurately. In particular, this study focus on producing a Behaviorally anchored Rating Scales (BARS) with a high level of acceptability by both raters and rates. 422 computer programmers from 8 companies participated in the process of developing the scale, which consisted of typical 5 phases. The results demonstrated that 13 performance dimensions were derived and the final job performance rating scale was made by vertically arraying 5 representative behavior anchors order by their scale value for each of 13 dimensions.

• Survey Research
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• v.1 no.2
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• pp.89-115
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• 2000

The present study attempts to (1) identify the critical dimensions that affect job performance of computer programmers and (2) clarify the specific behaviors that are related to each performance dimension, and measure them fairly and accurately. In particular, this study focus on producing a Behaviorally Anchored Rating Scales(BARS) with a high level of acceptability by both raters and ratees. 422 computer programmers from 8 companies participated in the process of developing the scale, which consisted of typical 5 phases. The results demonstrated that 13 performance dimensions were derived and the final job performance rating scale was made by vertically arraying 5 representative behavior anchors ordered by their scale value for each of 13 dimensions.

• Korean Journal of Childcare and Education
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• v.15 no.3
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• pp.175-201
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• 2019

Objective: This study aims to develop and validate the musicality level of an individual child, based on the on performance tasks rubrics. Methods: The survey was conducted on 284 children(ages 3-5years old from kindergartens and day care centers), their parents, and their 51 teachers. The collected data were calculated and analyzed using SPSS 22.0 and AMOS 22.0. Results: Consisted of two components, two task types, 17 performance tasks, and 41 items in three dimensions. Rubrics were determined and based on the child's best performance, and categorized into five levels. Lastly, the item difficulty and item discriminating power were defined in order to comprehend the item quality analysis, which showed that average scores varied depending on the performance. Conclusion/Implications: The musicality rating scale for young children is significant in order to comprehend musicality levels through the performances of children aged three to five. This study has educational implications in that teachers can connect the results of the ratings to curriculum and promote the development of teaching and learning methodologies based on the musicality levels of individual children.