• 천문학회보
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• 제46권2호
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• pp.46.2-46.2
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• 2021

We present solar event auto detection using deep-learning-based object detection algorithms and DeepSDO event dataset. DeepSDO event dataset is a new detection dataset with bounding boxed as ground-truth for three solar event (coronal holes, sunspots and prominences) features using Solar Dynamics Observatory data. To access the reliability of DeepSDO event dataset, we compared to HEK data. We train two representative object detection models, the Single Shot MultiBox Detector (SSD) and the Faster Region-based Convolutional Neural Network (R-CNN) with DeepSDO event dataset. We compared the performance of the two models for three solar events and this study demonstrates that deep learning-based object detection can successfully detect multiple types of solar events. In addition, we provide DeepSDO event dataset for further achievements event detection in solar physics.

• 대한전자공학회논문지TC
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• 제48권4호
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• pp.61-68
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• 2011

이벤트 기반 서비스 기술은 실시간으로 발생하는 이벤트를 감지하고 분석하여 이에 대한 반응으로 서비스가 연동되는 기술로, 실시간 기업 환경 구축이나 유비쿼터스 서비스 환경 구축을 위한 핵심 기반 기술이다. 실시간 기업 환경에서 요구되고 있는 기업 내 업무 프로세스에서 발생하는 다양한 정보를 실시간 모니터링, 분석하여 변화에 대한 신속한 대응을 제공하거나, 유비쿼터스 서비스 환경에서 상황에 맞게 적시에 맞춤형서비스를 제공하기 위해서는 이벤트 기반의 서비스 기술이 요구된다. 최근 이벤트 중심의 비즈니스 프로세스로 복합 이벤트 처리(CEP : Complex Event Processing) 방식이 사용된다. 복합 이벤트 처리 방식은 여러 이벤트 소스로부터 발생한 이벤트를 대상으로 이벤트들의 영향을 분석하여 대응되는 액션을 처리하는 방식으로 가장 핵심이 되는 기술은 어떻게 사용자에게 의미있는 이벤트(복합 이벤트)를 검출하는가이다. 기존의 연구에서는 복합 이벤트를 구성하는 모든 이벤트가 발생하지 않아도 부분적으로 발생하는 이벤트에 대해 계속적으로 연산을 수행하여 많은 연산과 많은 메모리를 소비하는 문제점이 있다. 이러한 문제를 해결하기 위해 본 논문에서는 대용량의 스트림 데이터에서 발생한 모든 이벤트를 처리하지 않고 응용 계층에서 등록한 복합 이벤트를 구성하는 모든 이벤트가 발생하면, 복합 이벤트를 처리하는 이벤트 검출 기법을 제안한다. 제안 하는 기법은 먼저 비트맵 인덱스를 이용하여 이벤트의 발생 유/무를 관리한다. 또한 복합 이벤트 질이의 마지막 이벤트를 트리거 이벤트로 정의하며, 이 트리거 이벤트가 발생하는 시점을 통해 이벤트의 발생을 표시한 비트맵 인덱스에 복합 이벤트를 구성하는 모든 이벤트의 발생 유/무를 검사하여 모든 이벤트가 발생하였다면, 연산을 수행할 수 있도록 제안한다. 제안하는 기법은 실험을 통해 복합 이벤트를 구성하는 이벤트의 검사를 매번 수행하지 않고 모든 이벤트가 발생하였을 때에만 연산을 수행함으로 불필요한 연산을 방지하고, 처리하는 이벤트의 수를 감소시켜 연산의 효율성을 증가 시켰다.

• 근관절건강학회지
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• 제3권1호
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• pp.63-89
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• 1996

This study has been done for the purpose of determining whether the positive association between social support and depression is attributable to an overall beneficial effect of support(direct effect) or to a process of support protecting persons from adverse effects of stressors such as life events, pain or physical disability (buffering effect). The sample consisted of 214 patients who were identified as the rheumatoid arthritis. The instruments used in this study were Depression Scale(CES-D), Perceived Social Support Scale, Life Events Questionnaire, AIMS Pain Scale, and Physical Disability Scale. The data were analysed by the use of t-test, ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression. The results of this study are summerized as follows : 1. The 1st hypothesis, "The higher the life events degree, the higher the depression degree" was supported(r=.49, P=.0001). 2. The 2nd hypothesis, "The higher the pain degree, the higher the depression degree" was supported(r=.44, P=.0001). 3. The 3rd hypothesis, "The higher the physical disability degree, the higher the depression degree" was supported (r=.46, P=.0001). 4. The 4th hypothesis, "The higher the social support degree, the lower the depression degree" was supported(F=84.52, P=.0001). 5. The 5th hypothesis, "There will be different in the relationship between the degrees of life events and depression according to social support degree" was rejected (F=.29, P=.5928). 6. The 6th hypothesis, "There will be different in the relationship between the degrees of pain and depression according to social support degree" was supported (F=3.19, P=.0755). 7. The 7th hypothesis, "There will be different in the relationship between the degrees of physical disability and depression according to social support degree" was supported(F=5.69, P=.018). 8. The predictive variables for depression were the degrees for social support, life events, pain, and physical disability. 9. The depression degree showed a inverse correlation with social support degree (r=-.56, p=.0001). The social support degree showed a inverse correlation with the degrees of life events(r=-.22, p=.0007), pain(r=-.18, p=.0069) and physical disability(r=-.15, p=.0293). 10. The depression degree showed significant differences in the variables of sex (t=2.26, p=.025), educational level(r=.189, P=.006) and the number of treatment method (r=.201, P=.003). In conclusion, it was found that social support had the direct effect on depression and the buffering effect in each relationship between degrees of pain or physical disability and depression in patients with rheumatoid arthritis. So the researcher thinks that it is effective that nurses should provide these patients with social support to reduce depression in cases of having severe pain or physical disability.

• 방송공학회논문지
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• 제7권2호
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• pp.96-106
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• 2002

본 논문에서는 최근 증가하는 TV 골프 경기의 하이라이트 부분을 요약하기 위해 시청자가 관심을 갖는 주요 이벤트를 시각 특징정보들을 이용하여 자동 추출할 수 있는 알고리즘을 제시하였다. 본 알고리즘은 4단계로 구성된다. 첫 번째 단계에서는 입력된 비디오의 샷 (Shot) 및 키 프레임 (Key Frame)을 구하여 데이터베이스화하는 구조를 분석하고, 두 번째 단계에서는 이들 정보를 이용하여 하위 레벨의 특징정보를 추출한다. 세 번째 단계에서는 특징 전보들을 통합하여 샷의 의미를 부여하여, 이벤트 구성 요소들과 정합시킨다. 네 번째 단계에서는 사전에 정의된 추론 규칙과 시간 정보를 이용하여 구성 요소들을 통합하여 이벤트를 결정한다. 본 연구에서는 하위 레벨의 특징 정보를 상호 호환성과 재사용성이 가능하도록 MPEG-7 비주얼 특징 정보를 사용하였다 TV-Anytime의 하이라이트/이벤트 스키마(schema)를 이용하여 검출된 이벤트들로 구성된 요약문을 XML 문서로 작성하였다. 제안 알고리즘의 성능을 검사하기 위해 비디오 자동 요약 시스템과 브라우징을 제작하여 실험하였으며 평균 80%의 검색 율과 정확도를 얻었다.

• 한국콘텐츠학회논문지
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• 제8권7호
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• pp.216-223
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• 2008

본 연구는 프로스포츠 관람만족 및 관람몰입이 재관람의사에 미치는 영향을 규명하는데 주된 목적이 있었다. 이와 같은 연구 목적을 달성하기 위하여 본 연구는 2007년 대전광역시에서 개최된 프로 축구 및 프로야구 경기 직접 관람자를 모집단으로 설정한 다음 유층집락무선표집법(stratified cluster random sampling method)을 이용하여 표본을 추출하였으며, 최종 605명의 자료가 분석에 이용되었다. 본 연구에서 사용된 조사도구는 설문지였으며, 설문문항에 대한 신뢰도 검증결과 관람만족의 경우 .889, 관람몰입의 경우 .901, 재관람의사의 경우 .870로 나타남으로써 비교적 양호한 것으로 나타났다. 본 연구에서 사용된 통계기법은 상관분석(correlation), 회귀분석(regression)이었다. 이와 같은 연구방법을 통해 얻어진 결과를 종합하여 도출시킨 결론은 다음과 같다. 첫째, 관람만족은 재관람의사에 영향을 미친다. 둘째, 관람몰입은 재관람의사에 영향을 미친다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권2호
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• pp.867-872
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• 2016

Background: Esophageal cancer is one of the most serious malignancies. Due to the aggressive nature of this cancer, the prognosis is poor. A network meta-analysis with simultaneous comparison of multiple treatments can help determine better treatment options that have higher effects on overall survival of patients with lower adverse events. The aim of this review is to simultaneously compare efficacy and adverse events of treatment interventions for esophageal cancer. Materials and Methods: In this review, only randomized control trials (RCT) will be considered for network meta-analysis. All international electronic databases including Medline, Web of Sciences, Scopus, Cochran's library, EMBASE and Cancerlit will be searched to find randomized control trials which compared two or more treatment interventions for esophageal cancer. A network plot will be drawn for visual representation of all available treatment interventions. Bayesian approach will be used to combine the direct and indirect evidence. Treatment effects (e.g. hazard ratio for time to event outcomes, risk ratio for binary outcomes, and rate ratio for count outcomes with 95% credible interval) will be reported. Moreover, cumulative probability of the treatment ranks will be reported using the surface under the cumulative ranking (SUCRA) graphs. Consistency assumption will be assessed by the loop-specific and design-by-treatment interaction approaches. Conclusions: The results of this study may be helpful for the patients, clinicians and health policy makers in selecting treatments that have the best effect on survival and lowest adverse events.

• 대한토목학회논문집
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• 제40권2호
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• pp.135-143
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• 2020

자연적으로 발생하는 가뭄은 시간과 공간에서 동시에 진화하는 3차원적 현상이다. 따라서 본 연구에서는 기상학적 및 수문학적 가뭄 간의 연관성을 평가하기 위해서 3차원적 관점에서 가뭄사상을 정의하고 시공간적인 가뭄의 전이 특성을 분석했다. 그 결과 우리나라는 기상학적 가뭄이 단일 연계 관계로 수문학적 가뭄으로 시공간적 전이되는 경우가 77 %로 확인되었다. 반면 한 개 이상의 기상학적 가뭄사상이 수문학적 가뭄의 발생에 영향을 미치는 경우도 23 %이었다. 또한, 과거 1994-1995년에 발생한 수문학적 가뭄은 장기간의 강수량 부족으로 인한 총 4개의 기상학적 가뭄의 전이에 따른 시공간적인 영향으로 발생한 것으로 밝혀졌다. 더불어 지난 2001년 여름철 강수부족으로 인한 기상학적 가뭄은 다음해 4월까지 수문학적 가뭄으로 전이되어 가뭄피해가 지속된 것으로 분석되었다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제30권2호
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• pp.74-82
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• 2019

Objectives: The objective of this study was to investigate clinical and neuropsychological factors associated with treatment response and adverse events of atomoxetine in children with attention-deficit/hyperactivity disorder (ADHD) in Korea. Methods: Children with ADHD were recruited at the Department of Psychiatry of Asan Medical Center from April 2015 to April 2018. Diagnoses of ADHD and comorbid psychiatric disorders were confirmed with the Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version. The subjects were subsequently treated with atomoxetine for 12 weeks and illness severity was scored using the ADHD Rating Scale, Clinical Global Impression-Severity scale (CGI-S) and/or Improvement scale (CGI-I), at pre- and post-treatment. They also completed the Advanced Test of Attention (ATA), while their caregivers completed the Korean Personality Rating Scale for Children (KPRC) at pre- and post-treatment. Independent t-test, Fisher's exact test, ${\chi}^2$ test, mixed between-within analysis of variance and correlation analysis were used for statistical analysis. Results: Sixty-five children with ADHD (mean age: $7.9{\pm}1.4years$, 57 boys) were enrolled, of which, 33 (50.8%) were treatment responders. Scores on the social dysfunction subscale of the KPRC (p=0.021) and commission errors on the visual ATA (p=0.036) at baseline were higher in treatment non-responders than in responders; however, the statistical significances disappeared after adjusting for multiple comparisons. Mood changes were also observed in 13 subjects (20.0%), and three of them discontinued atomoxetine due to this. Additionally, atomoxetine-emergent mood change was observed more frequently in girls (p=0.006), while the intelligence quotient (p=0.040) was higher in those subjects with mood changes than in those without. Conclusion: The results of our study suggest that clinical and neuropsychological factors could be associated with treatment response or adverse events of atomoxetine in children with ADHD. Further long-term studies with larger samples are needed.

• Journal of Gastric Cancer
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• 제22권4호
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• pp.408-417
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• 2022

Purpose: Treatment options are limited after the failure of first-and second-line treatments in patients with HER2⁺ metastatic gastric cancer (mGC). The present study aimed to explore the efficacy, safety, and prognostic factors of apatinib efficacy as a third-line therapy for patients with human epithelial growth factor receptor 2-positive (HER2⁺) mGC. Materials and Methods: A total of 59 HER2⁺ mGC patients who received apatinib as third-line therapy were retrospectively enrolled in this two-center, single-arm, cohort study; the clinical response, survival data, and adverse events were retrieved. Results: The median progression-free survival (PFS) was 5.2 months (95% confidence interval [CI], 3.9-6.5), and the median overall survival (OS) was 8.2 months (95% CI, 6.6-9.8) Furthermore, forward stepwise multivariate Cox regression analysis showed that a higher Eastern Cooperative Oncology Group performance status score and multiple metastases were independently correlated with decreased PFS and OS (both P<0.05). The main adverse events were leukopenia (45.8%), hypertension (44.1%), thrombocytopenia (39.0%), hand-foot syndrome (37.3%), and elevated transaminase (33.9%). Grade 3 adverse events mainly included hypertension (5.1%) and neutropenia (5.1%); grade 4 adverse events did not occur. Conclusions: Apatinib is efficient and well tolerated in patients with HER2⁺ mGC as a third-line treatment, suggesting that it may be a candidate of choice for these patients.

• Wind and Structures
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• 제39권1호
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• pp.1-14
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• 2024

Widespread damages from extreme winds have attracted lots of attentions of the resilience assessment of power distribution systems. With many related environmental parameters as well as numerous power infrastructure components, such as poles and wires, the increased challenge of power asset management before, during and after extreme events have to be addressed to prevent possible cascading failures in the power distribution system. Many extreme winds from weather events, such as hurricanes, generate widespread damages in multiple areas such as the economy, social security, and infrastructure management. The livelihoods of residents in the impaired areas are devastated largely due to the paucity of vital utilities, such as electricity. To address the challenge of power grid asset management, power system clustering is needed to partition a complex power system into several stable clusters to prevent the cascading failure from happening. Traditionally, system clustering uses the Binary Decision Diagram (BDD) to derive the clustering result, which is time-consuming and inefficient. Meanwhile, the previous studies considering the weather hazards did not include any detailed weather-related meteorologic parameters which is not appropriate as the heterogeneity of the parameters could largely affect the system performance. Therefore, a fragility-based network hierarchical spectral clustering method is proposed. In the present paper, the fragility curve and surfaces for a power distribution subsystem are obtained first. The fragility of the subsystem under typical failure mechanisms is calculated as a function of wind speed and pole characteristic dimension (diameter or span length). Secondly, the proposed fragility-based hierarchical spectral clustering method (F-HSC) integrates the physics-based fragility analysis into Hierarchical Spectral Clustering (HSC) technique from graph theory to achieve the clustering result for the power distribution system under extreme weather events. From the results of vulnerability analysis, it could be seen that the system performance after clustering is better than before clustering. With the F-HSC method, the impact of the extreme weather events could be considered with topology to cluster different power distribution systems to prevent the system from experiencing power blackouts.