• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.22 no.4
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• pp.307-313
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• 2011

Objectives : This study explored the clinical differences in attention-deficit hyperactivity disorder (ADHD) patients with and without developmental coordination disorder (DCD). Methods : Participants were 49 children and adolescents with ages between 6 and 18 years. These subjects were placed into 2 groups: ADHD without DCD (24) and ADHD with DCD (25). We used several evaluation tools on both groups: the Affective Disorders and Schizophrenia-Present and Lifetime Version- Korean Version (K-SADS-PL), Wechsler Intelligence Scale for Children-III (WISC-IIII), Child Behavior Check List (CBCL), Korean Personality Rating Scale for Children (K-PRC), and Bruininks-Osretsky Test of Motor (BOT-2). Results : Patients with both ADHD and DCD had a lower performance intelligence quotient and more internal and external behavioral symptoms than patients with ADHD but not DCD. It is possible that patients with ADHD and motor coordination problems should be noticed earlier and given intensive treatment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4426-4442
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• 2020

Since scene segmentation is becoming a hot topic in the field of autonomous driving and medical image analysis, researchers are actively trying new methods to improve segmentation accuracy. At present, the main issues in image semantic segmentation are intra-class inconsistency and inter-class indistinction. From our analysis, the lack of global information as well as macroscopic discrimination on the object are the two main reasons. In this paper, we propose a Densely connected residual Attention network (DA-Res2Net) which consists of a dense residual network and channel attention guidance module to deal with these problems and improve the accuracy of image segmentation. Specifically, in order to make the extracted features equipped with stronger multi-scale characteristics, a densely connected residual network is proposed as a feature extractor. Furthermore, to improve the representativeness of each channel feature, we design a Channel-Attention-Guide module to make the model focusing on the high-level semantic features and low-level location features simultaneously. Experimental results show that the method achieves significant performance on various datasets. Compared to other state-of-the-art methods, the proposed method reaches the mean IOU accuracy of 83.2% on PASCAL VOC 2012 and 79.7% on Cityscapes dataset, respectively.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.265-272
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• 2022

As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.101.4-101
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• 2001

Evolutionary algorithm has been receiving a remarkable attention due to the model-free and population-based parallel search attributes and much successful results are coming out. However, there are some problems in most of the evolutionary algorithms. The critical one is that it takes much time or large generations to search the global optimum in case of the objective function with multimodality. Another problem is that it usually cannot search all the local optima because it pays great attention to the search of the global optimum. In addition, if the objective function has several global optima, it may be very difficult to search all the global optima due to the global characteristics of the selection methods. To cope with these problems, at first we propose a preprocessing process, grid-filtering algorithm(GFA), and propose a new distributed evolutionary ...

• Wind and Structures
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• v.5 no.2_3_4
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• pp.83-88
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• 2002

The present situation of CWE(Computational Wind Engineering) and the papers presented to the CWE 2000 Symposium are reviewed from the following viewpoints; 1) topics treated, 2) utilization of commercial code (software), 3) incompleteness of CWE, 4) remaining research subjects, 5) prediction accuracy, 6) new fields of CWE application, etc. Firstly, new tendencies within CWE applications are indicated. Next, the over-attention being given to the application field and the lack of attention to fundamental problems, including prediction error analysis, are pointed out. Lastly, the future trends of CFD (Computational Fluid Dynamics) applications to wind engineering design are discussed.

• Journal of The Korean Association For Science Education
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• v.33 no.7
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• pp.1471-1485
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• 2013

The purpose of this study was to develop a HAM (Heuristic Attention Model) by analyzing the difference between eye movements according to the science achievement of elementary school students on discrimination task. Science achievement was graded by the results of the Korea national achievement test conducted in 2012 for a random sampling of classes. As an assessment tool to check discrimination task, two discrimination measure problems from TSPS (Test of Science Process Skill, developed in 1994) which were suitable for an eye tracking system were adopted. The subjects of this study were 20 students from the sixth grade who agreed to participate in the research. SMI was used to collect EMD (eye movement data). Experiment 3.2 and BeGaze 3.2 programs were used to plan experiments and analyze EMD. As a result, eye movements of participants in discrimination tasks varied greatly in counts and duration of fixation, first fixation duration, and dwell time, according to students' science achievement and difficulty of the problems. By the analysis of EMD, strategies of the students' problem-solving could be found. During problem solving, subjects' eye movements were affected by visual attention; bottom-up attention, top-down attention and convert attention, and aflunter attention. In conclusion, HAM was developed, and it is believed to help in the development of a science learning program for underachievers.

• Clinical and Experimental Pediatrics
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• v.59 no.10
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• pp.414-420
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• 2016

Purpose: We investigated behavioral problems, attention problems, and cognitive function in children and adolescents born small for gestational age (SGA). Methods: Forty-six SGA children born at term and 46 appropriate for gestational age (AGA) children born at term were compared. Psychiatric symptoms were examined with reference to the Korean-Child Behavior Checklist, Korean-Youth Self Report, and Attention Deficit Hyperactivity Disorder Rating Scale (ADHD-RS). Cognitive function was estimated using the Wechsler Intelligence Scale. Sociodemographic data were recorded from interviews. Results: SGA children had high scores on delinquent behavior, aggressive behavior, and the externalizing scale, and they also showed a propensity for anxiety and depression. The SGA group had a higher mean ADHD-RS score than the AGA group ($10.52{\pm}8.10$ vs.$9.93{\pm}7.23$), but the difference was not significant. The SGA group had a significantly lower verbal intelligence quotient (IQ) than the AGA group, but the mean scores of both groups were within normal limits. Conclusion: This study indicates marked behavioral problems, such as delinquency, aggressiveness, and anxiety and depression, as well as low verbal IQ in the SGA group than in the AGA group. Even in cases in which these symptoms are not severe, early detection and proper treatment can help these children adapt to society.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.24 no.4
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• pp.199-206
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• 2013

Objectives : Attention-deficit hyperactivity disorder (ADHD) and Asperger's disorder (AD) in children are associated with attentional problems, impulsivity, hyperactivity, and difficulties with social interactions. Pharmacological treatment may alleviate symptoms of ADHD, but seldom solves difficulties with social interactions. Social skills training (SST) may assist in improving their social interactions. We examined the effects of SST on children's social competences, general behavior, and ADHD symptoms. Methods : Thirty four children, aged 7 to 12 years, participated in the cognitive behavioral SST program once a week at the outpatient division of child-adolescent psychiatry. SST was composed of 24 sessions (ninety minutes) for 6 months. Twenty-five children were diagnosed with ADHD, and 9 children were diagnosed with AD. Parents of the children rated Korea-Child Behavior Checklist (K-CBCL), Conner's rating scales, Korean-ADHD Rating Scale (K-ARS), Social Skill Rating System (SSRS), and Matson's Social Skill Rating Scale as an evaluation of the treatment effect, before the first session and after the final session of the training. Results : The ADHD group showed significantly increased scores of social and social competence of CBCL and SSRS. Further, scores of externalizing problems of CBCL, CRS, and ARS were significantly decreased. The Asperger's group showed significantly increased scores of social competence of CBCL, SSRS, and MESS. There was a significant difference of the improvement in CBCL's school and total behavior problem score, CRS between drug change group and no drug change group. Conclusion : The result of this study suggests that SST is effective in improving social skills for children with ADHD and AD. In addition, SST has shown its effectiveness in treating attentional problems for children with ADHD. To prove objective usefulness of SST, further studies with a more structured design and long-term duration along with a sufficient number of AD participants will be necessary.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.180-188
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• 2019

The purpose of this study is to identify various factors related to depression in adolescents. In this study, a multiple regression analysis was conducted to investigate the factors affecting depression in 1,881 1st grade students in middle school, using the 2016 Panel Investigation for Children and Adolescents of Korea. The attention problems, aggression, physical symptoms, and social withdrawal perceived by adolescents had significant effects on the depression. Out of them, the physical symptoms had the greatest effects on the depression. When the attention problems, aggression, physical symptoms, and social withdrawal of adolescents were higher, the symptoms of depression were increased, which explained 54.1% of adolescents' depression. Such results of this study could be helpful for the educational support and practical intervention for the enhancement of mental health of adolescents.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.113-120
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• 2021

The objective of this study is to identify the visual function impairment of children with each type of attention deficit hyperactivity disorder(ADHD). The subjects of this study were 49 children diagnosed with ADHD with visual function out of the normal range. The type of ADHD was investigated using the Korean-ADHD Rating Scale and visual function test. The attention deficit type(69.4%) of ADHD was the most common type among children with ADHD with vision problems. Although their overall naked-eye visual acuity was good, about 50% of the subjects showed problems with visual function. For those with the attention deficit type of ADHD, the myopia-related refractive error was high. For those with the hyperactivity type of ADHD, the astigmatism-related refractive error was higher. For those with vergence function disorder, convergence insufficiency was the most common. As there were differences in the visual impairment characteristics of children with different types of ADHD, it is necessary to approach a child's problem behavior through examination and screening for visual function disorders.