• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제22권4호
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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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• 제14권11호
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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.

• 대한임베디드공학회논문지
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• 제17권5호
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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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• 제어로봇시스템학회 2001년도 ICCAS
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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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• 제5권2_3_4호
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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.

• 한국과학교육학회지
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• 제33권7호
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• pp.1471-1485
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• 2013

본 연구에서는 변별과제를 해결하는 동안 초등학생의 안구운동을 분석하여 발견적 주의모델을 개발하였다. 연구 참여자는 초등학교 6학년 20명이었고 모두 부모의 동의 절차를 거친 자발적인 지원자였다. 본 연구에 사용된 변별과제는 권재술과 김범기(1994)가 개발한 과학탐구능력 검사지에서 아이트래킹으로 실험 가능한 두 과제를 선택하였다. 학생들의 안구운동의 수집은 SMI사의 iView X TM RED 120 Hz를 사용하였고 실험설계와 분석은 동사의 Experiment 3.2와 BeGaze 3.2의 소프트웨어를 사용하였다. 학생들의 모든 안구운동은 응시시간에 대한 정량적인 분석과 문제해결과정에서 학생개인의 인지사고과정을 추론하는 정성적인 분석과정을 거쳤다. 본 연구결과는 다음과 같다. 첫째, 학생들의 실험 자료의 시각정보의 복잡한 정도에 따라 인지적 부담이 가중되었고 대상을 재인하는 관점 의존적이었다. 둘째, 실험 자료의 제시로 상향식주의가 발화되었고 하향식주의에 의해 의도적이고 목표지향적인 안구운동과 혼란 주의에 의한 안구운동을 구분할 수 있었다. 이를 토대로 인간의 주의와 안구운동을 도식할 수 있었다. 셋째, 압축된 시선흐름(compressed scan-path)을 분석하여 학생들의 문제해결전략을 도출하였다. 넷째, 본 연구의 결과를 통해 발견적 주의 모델(HAM)을 개발하였다. 이 발견적 주의 모델은 앞으로 학생들의 문제해결과정을 분석하는데 효과적인 분석관점을 제공할 것으로 기대된다.

• Clinical and Experimental Pediatrics
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• 제59권10호
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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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• 제24권4호
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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.

• 융합정보논문지
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• 제9권8호
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• pp.180-188
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• 2019

본 연구는 청소년의 우울과 관련한 다양한 요인을 파악하기 위함이다. 이를 위해 2016년 한국아동 청소년패널조사를 이용하여 중학교 1학년 1,881명의 우울에 영향을 미치는 요인을 다중회귀분석을 실시하였다. 연구분석 결과, 청소년이 지각하는 주의집중 문제, 공격성, 신체 증상, 사회적 위축이 우울에 유의미한 영향을 미치는 것으로 나타났으며, 그중 신체 증상이 우울에 가장 큰 영향요인으로 확인되었다. 청소년의 주의집중 문제, 공격성, 신체 증상, 사회적 위축이 높을수록 우울 증상이 증가하는 것으로 청소년의 우울을 54.1% 설명하였다. 이러한 연구 결과를 토대로 청소년들의 정신건강을 증진하기 위한 교육적 지원 및 실천적인 개입에 도움을 제공하고자 한다.

• 한국융합학회논문지
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• 제12권2호
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• pp.113-120
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• 2021

본 연구는 시각적인 장애를 호소하는 ADHD로 진단받은 아동의 유형별 시각 기능의 특징을 확인하고자 하였다. 연구 대상자는 ADHD로 진단받은 아동 49명으로 시각기능이 정상범위에서 벗어난 경우이다. Korean-ADHD Rating Scale을 이용하여 ADHD 유형을 알아보았고 시각기능 검사를 통해 시각 기능의 문제를 알아보았다. 시각의 문제를 가지고 있는 ADHD 아동들은 부주의 유형(69.4%)이 가장 많았으며 시력은 좋지만 시각 기능 문제가 드러난 경우도 50% 정도 되었다. 주의력결핍 유형에서 근시 관련 시각장애, 과잉활동형 유형에서 난시 관련된 시각장애가 높게 나타났다. 버전스 기능 장애에서는 폭주부족이 가장 많았으며 유형별 차이는 나타나지 않았다. ADHD 아동의 유형별 시각장애의 특성은 차이가 나타나므로 시각 기능 장애의 검사와 선별을 통해 아동의 문제행동에 접근하는 것이 필요하다.