• Anxiety and mood
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• v.5 no.2
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• pp.96-102
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• 2009

Objective : We investigated that ADHD categorical diagnosis and the dimensional tools for the evaluation of ADHD, widely used in the clinical field, such as the child behavior check list- Korean version (K-CBCL), Korean personality inventory for children (KPI-C), computerized Attention Diagnostic System (ADS). Method : The DSM-IV clinical diagnosis applied by child psychiatrist. K-CBCL, KPI-C, ADS are used. Ultimately, totally 161 ADHD children and 161 controls were evaluated. Subject group are consist of 202 boys (62.7%) and 120 girls (37.3%), and the mean age was $9.5{\pm}2.0$ years old. Results and Conclusion : Social problem, and attention problem in the K-CBCL, correct response time standard deviation in the computerized ADS were statistically significant different and attention problem in the K-CBCL, hyperactivity subscale in the KPI-C were significant trait, between subject group and control group. The ROC value of attention problem in the K-CBCL, hyperactivity subscale in the KPI-C, and ADS were .78, .93, .86. Finally, we found that K-CBCL, KPI-C, ADS were significant corelation with the ADHD categorical diagnosis.

• Research in Mathematical Education
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• v.17 no.3
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• pp.199-220
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• 2013

The main objective of this study is to explore the relationship between psychological factors (i.e. math anxiety, attention, attitude, Working Memory Capacity (WMC), and Field dependency) and students' mathematics problem solving based on Revised Bloom Taxonomy. A sample of 169 K11 school girls were tested on (1) The Witkin's cognitive style (Group Embedded Figure Test). (2) Digit Span Backwards Test. (3) Mathematics Anxiety Rating Scale (MARS). (4) Modified Fennema-Sherman Attitude Scales. (5) Mathematics Attention Test (MAT), and (6) Mathematics questions based on Revised Bloom Taxonomy (RBT). Results obtained indicate that the effect of these items on students mathematical problem solving is different in each cognitive process and level of knowledge dimension.

• Journal of the Korean Operations Research and Management Science Society
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• v.25 no.2
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• pp.87-100
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• 2000

As a result of rapid advances in communication technology, fiber optics have begun to be adopted in most telecommunication systems 3s an economic choice Due to the trend of evolution toward broadband communication network with fiber optics and electronic devices. the network design problem for broadband communication has been received a great deal of research attention recently. In this paper, we address a topological design problem for broadband local access network with uncertain demands, which has received surprisingly little attention so far. in our problem, we select a set of hubs and links for constructing network expected penalty cost for the amount of undersupplied In addition to the usual cost terms of the fixed demand problem Our problem can be approximated as a mixed 0-1 integer programming problem by using Szwarc’s linear approximation technique. Then the problem is transformed successfully into a version of classical network design model. Some computational experiments for the model and concluding remarks are described.

• Human Ecology Research
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• v.51 no.4
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• pp.371-382
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• 2013

The purpose of this study is to investigate children's emotional problems (attention problem, aggression, somatic symptom, social withdrawal, depression) and to examine the relationship between children's emotional problems with family characteristics (parent education, parent job, family income), life-styles (gaming times, TV times, sleep time). The sample was 2,140 collections of second grade children and their parents who participated in Korea Youth Panel Survey on 2011. We analyzed the data which were collected by means of questionnaires and the data were analyzed with t -test, ANOVA, Pearson correlation analysis, and regression analysis with SPSS ver. 19.0. The results were summarized as follows. The level of children's emotional problem was relatively low on average. There is a significant difference in the children's emotional problems according to family characteristics and life-styles. There was a relationship between children's emotional problems (attention problem, aggression, somatic symptom, social withdrawal, depression) and life-styles (gaming times, TV times). The significant factors influencing the children's emotional problems are connected with father's education, mother's job, family income, family characteristics, gaming time and TV time of life style. It is noted that parent education level was an important factor for children's attention problem and aggression. Amongst children's life-styles, gaming time and TV time are negative factors for social withdrawal and depression.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.2
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• pp.101-113
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• 2021

PURPOSE: The purpose of this study was to investigate the differences and correlation between body composition, exercise performance, and behavior based on playing football in childhood. METHODS: 16 subjects who played football in childhood participated in the study. Body composition and exercise performance were measured, and problem behavior was assessed for each of them. All subjects were asked to play football 50 min/day, one day/week for 8-weeks. RESULTS: Muscle mass, muscular strength, balance, and cardiopulmonary endurance, anxiety depression, atrophy depression, attention problems, rule violations, DSM somatization problems, DSM rebellious behavior problems, and sociality significantly increased after 8-weeks. There was a negative (-) correlation between anxiety depression and atrophy depression, and DSM somatization problem and muscular strength, attention problem and balance, and rule violation and cardiopulmonary endurance, after playing football. CONCLUSION: These results confirmed that playing football in childhood had a positive effect on body composition, and that exercise performance and problem behavior were related.

• Human Ecology Research
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• v.58 no.2
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• pp.267-278
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• 2020

This study examined the longitudinal effect of preschool children's media exposure and maternal depression on first-grade children's school adjustment and the mediating effect of attention problem. Longitudinal data from the Panel Study of Korean Children (PSKC) collected by the Korea Institute of Child Care and Education (KICCE) was used to examine this hypothetical model. The subjects of the study included 2,150 children (1,091 boys and 1,059 girls) and their mothers across 2013 (5 yrs.) through 2015 (7 yrs.). The Structural Equation Model (SEM) was estimated using SPSS 25.0 and Amos 25. The results of this study were as follows. First, higher level of preschool children's media exposure and maternal depression were related to higher attention problems after a year and lower level of children's school adjustment during first-grade. Second, preschool children's media exposure and maternal depression had an indirect effect on first-grade children's school adjustment via attention problem. The results of this study will provide supporting evidence to many educators and parents for the implementation of effective practices for first-grade children to enhance their school adjustment. Furthermore, this study emphasizes the importance of maternal psychological wellbeing and the risk of indiscriminate media exposure during early childhood on first-grade's school adjustment.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.59-64
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• 2024

As the aging population grows, the incidence of cancer is increasing. Skin cancer appears externally, but people often don't notice it or simply overlook it. As a result, if the early detection period is missed, the survival rate in the case of late stage cancer is only 7.5-11%. However, the disadvantage of diagnosing, serious skin cancer is that it requires a lot of time and money, such as a detailed examination and cell tests, rather than simple visual diagnosis. To overcome these challenges, we propose an Attention-based CNN model skin cancer classification system. If skin cancer can be detected early, it can be treated quickly, and the proposed system can greatly help the work of a specialist. To mitigate the problem of image data imbalance according to skin cancer type, this skin cancer classification model applies the Over Sampling, technique to data with a high distribution ratio, and adds a pre-learning model without an Attention layer. This model is then compared to the model without the Attention layer. We also plan to solve the data imbalance problem by strengthening data augmentation techniques for specific classes.

• Korean Journal of Child Studies
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• v.28 no.2
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• pp.71-89
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• 2007

The subjects in this study of parenting attitudes, children's behavior problems and attention ability were 111 5-year-old children and their parents. Data was analyzed by mean, frequency, percent, three-way ANOVA, and Pearson's correlation. Results showed that behavior problems and attention ability of children varied by the parenting attitude of mothers and fathers. Behavior problems of boys were higher than girls, and boys' attention abilities were lower than girls.' Interaction effects were found between parenting attitudes and gender in children's behavior problems and attention ability : fathers' autonomy correlated negatively with boys' behavior problems (r=-.47), task processing speed (r=-.37), and attention inconsistency (r=-.36). Children's behavioral problems correlated positively with attention inconsistency (r=.28).

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.7
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• pp.587-594
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• 2005

In this paper, a robust correlation-based video tracking is proposed to track a moving object in correlated image sequences. A correlation-based video tracking algorithm seeks to align the incoming target image with the reference target block image, but has critical problems, so called a false-peak problem and a drift phenomenon (correlator walk-off. The false-peak problem is generally caused by highly correlated background pixels with similar intensity of a moving target and the drift phenomenon occurs when tracking errors accumulate from frame to frame because of the nature of the correlation process. At first, the false-peaks problem for the ordinary correlation-based video tracking is investigated using a simple mathematical analysis. And, we will suggest a robust selective-attention correlation measure with a gradient preprocessor combined by a drift removal compensator to overcome the walk-off problem. The drift compensator adaptively controls the template block size according to the target size of interest. The robustness of the proposed method for practical application is demonstrated by simulating two real-image sequences.

• Korean Medical Education Review
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• v.16 no.3
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• pp.156-166
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• 2014

The current study aimed to find the relationship between attention, relevance, confidence, and satisfaction (ARCS) learning motivation and class effectiveness inherent in problem-based learning (PBL) classes designed for dental and nursing students. Seventy-nine participants responded to survey items for motivation and class effectiveness after completion of their classes. The study findings were as follows. First, the differences among the $dental^{**}$, $clinical^{**}$, and $nursing^{**}$ PBL classes were identified in terms of class effectiveness (F=3.63, p<0.05) and academic achievement (F=13.9, p<0.01). Second, three learning motivation factors-satisfaction (t=4.07, p<0.01), confidence (t=2.84, p=0.01), and relevance (t=2.96, p<0.01)-appeared to determine class effectiveness in the abovementioned order. Only attention (t=2.02, p=0.05) was significantly related to academic achievement. Third, the relationship between hours of learner contribution to the PBL tasks and academic achievement was statistically significant. Therefore, we suggest the incorporation of ARCS motivation factors in PBL classes on the basis of the characteristics of each major and grade.