• 한국통신학회논문지
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• 제24권10B호
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• pp.1841-1851
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• 1999

반얀 (Banyan) 네트웍은 ATM 스위치의 기본 구조로 많이 사용되어 왔다. 그러나, 반얀 네트웍은 내부 블록킹이 큰 단점으로 알려져 있으며, 이 단점을 보완하기 위해 제시되고 있는 구조 중 하나가 dilated 반얀 네트웍이다. 그런데, 기존의 dilated 반얀 네트웍 스위치는 네트웍 용량의 많은 부분이 낭비되는 구조를 가지고 있다. 본 논문에서는 이렇게 낭비되는 자원을 충분히 활용하여 스위치 용량을 증가시킬 수 있는 구조를 제안한다. 제안된 스위치는 deflection 라우팅과 recirculation을 가지는 구조로, 스위치의 성능은 uniform 트래픽 가정 하에 분석되었다. 분석 및 시뮬레이션을 통한 검증 결과, 제안된 스위치의 성능이 기존의 dilated 반얀 네트웍에 비해 월등히 향상됨을 보여 준다.

• Molecules and Cells
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• 제39권10호
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• pp.722-727
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• 2016

Cardiomyopathy is a major cause of death worldwide. Based on pathohistological abnormalities and clinical manifestation, cardiomyopathies are categorized into several groups: hypertrophic, dilated, restricted, arrhythmogenic right ventricular, and unclassified. Dilated cardiomyopathy, which is characterized by dilation of the left ventricle and systolic dysfunction, is the most severe and prevalent form of cardiomyopathy and usually requires heart transplantation. Its etiology remains unclear. Recent genetic studies of single gene mutations have provided significant insights into the complex processes of cardiac dysfunction. To date, over 40 genes have been demonstrated to contribute to dilated cardiomyopathy. With advances in genetic screening techniques, novel genes associated with this disease are continuously being identified. The respective gene products can be classified into several functional groups such as sarcomere proteins, structural proteins, ion channels, and nuclear envelope proteins. Nuclear envelope proteins are emerging as potential molecular targets in dilated cardiomyopathy. Because they are not directly associated with contractile force generation and transmission, the molecular pathways through which these proteins cause cardiac muscle disorder remain unclear. However, nuclear envelope proteins are involved in many essential cellular processes. Therefore, integrating apparently distinct cellular processes is of great interest in elucidating the etiology of dilated cardiomyopathy. In this mini review, we summarize the genetic factors associated with dilated cardiomyopathy and discuss their cellular functions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3493-3506
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• 2022

In the field of scene segmentation, the precise segmentation of object boundaries in sports movement scene images is a great challenge. The geometric information and spatial information of the image are very important, but in many models, they are usually easy to be lost, which has a big influence on the performance of the model. To alleviate this problem, a parallel dense dilated convolution merging Network (termed PDDCM-Net) was proposed. The proposed PDDCMNet consists of a feature extractor, parallel dilated convolutions, and dense dilated convolutions merged with different dilation rates. We utilize different combinations of dilated convolutions that expand the receptive field of the model with fewer parameters than other advanced methods. Importantly, PDDCM-Net fuses both low-level and high-level information, in effect alleviating the problem of accurately segmenting the edge of the object and positioning the object position accurately. Experimental results validate that the proposed PDDCM-Net achieves a great improvement compared to several representative models on the COCO-Stuff data set.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제63차 동계학술대회논문집 29권1호
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• pp.65-68
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• 2021

본 연구에서는 Dilated U-Net 기반의 이미지 복원기법을 통해 콘크리트 균열 추출 성능 개선 방안을 제안한다. 콘크리트 균열은 구조물의 미관상의 문제뿐 아니라 추후 큰 안전사고의 원인이 될 수 있어 초기대응이 중요하다. 현재는 점검자가 직접 육안으로 검사하는 외관 검사법이 주로 사용되고 있지만, 이는 정확성 및 비용, 시간, 그리고 안전성 면에서 한계를 갖고 있다. 이에 콘크리트 구조물 표면에 대해 획득한 영상 처리 기법을 사용한 검사 방식 도입의 관심이 늘어나고 있다. 또한, 딥러닝 기술의 발달로 딥러닝을 적용한 영상처리의 연구 역시 활발하게 진행되고 있다. 본 연구는 콘크리트 균열 추개선출 성능 개선을 위해 Dilated U-Net 기반의 이미지 복원기법을 적용하는 방안을 제안하였고 성능 검증 결과, 기존 U-Net 기반의 정확도가 98.78%, 조화평균 82.67%였던 것에 비해 정확도 99.199%, 조화평균 88.722%로 성능이 되었음을 확인하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권16호
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• pp.6823-6827
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• 2014

Objective: This study was conducted to investigate the efficacy of pancreatic drainage for pain relief in advanced pancreatic cancer. Method: Seventy-one patients with pancreatic carcinoma were divided into two groups: dilated and non-dilated pancreatic ducts. All patients underwent endoscopic retrograde cholangiopancreatography (ERCP), endoscopic biliary stenting and pancreatic stenting. Visual Analog Scale (VAS) scores, pain remission rates and survival time were evaluated during follow-up. Results: The post-ERCP VAS score of the dilated group was lower than that of the non-dilated group at 1 and 3 months post-ERCP. There was no difference at 6 months. The pain remission rate in the dilated duct group was significantly higher than that in non-dilated duct group in 1 and 3 months post-ERCP. The median survival times were 8.17 and 8.22 months respectively. Conclusion: Endoscopic pancreatic drainage can relieve pain of advanced pancreatic cancer accompanied by safe dilation of the pancreatic duct.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3598-3614
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• 2020

With the increase of motor vehicles and tourism demand, some traffic problems gradually appear, such as traffic congestion, safety accidents and insufficient allocation of traffic resources. Facing these challenges, a model of Spatio-Temporal Dilated Convolutional Network (STDGCN) is proposed for assistance of extracting highly nonlinear and complex characteristics to accurately predict the future traffic flow. In particular, we model the traffic as undirected graphs, on which graph convolutions are built to extract spatial feature informations. Furthermore, a dilated convolution is deployed into graph convolution for capturing multi-scale contextual messages. The proposed STDGCN integrates the dilated convolution into the graph convolution, which realizes the extraction of the spatial and temporal characteristics of traffic flow data, as well as features of road occupancy. To observe the performance of the proposed model, we compare with it with four rivals. We also employ four indicators for evaluation. The experimental results show STDGCN's effectiveness. The prediction accuracy is improved by 17% in comparison with the traditional prediction methods on various real-world traffic datasets.

• 한국임상수의학회지
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• 제16권2호
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• pp.509-513
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• 1999

Dilated cardiomyopathy in two dogs showing dyspnea was diagnosed at veterinary teaching hospital. In radiographs, cardiomegaly, pleural effusion, pulmonary edema, ascites, and hepatomegaly were seen at case 1. ‘Reversed D’ shape due to right heart enlargement was shown at case 2. In echocardiography, dilatation of chambers was predominant in case 1 and 2. Arrythmia was complicated in case 2.

• Advances in pediatric surgery
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• 제1권2호
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• pp.181-185
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• 1995

Segmental intestinal dilatation is rare, which causes symptom of bowel obstruction and requires resection. The resection is not only diagnostic but also curative procedure. Recently, author experienced 2 cases of segmental dilatation of the ileum due to focal agenesis of the intestinal muscularis in 7 day & 4 day-old female neonates. The post operative recovery was excellant in the first case after resection of dilated ileum(15cm in length) and end to end anastomosis, and discharged at 20th day. But in the second case, the passage disturbance was not relieved after resection of dilated ileum (30cm in length), and author re-resected 80cm more of dilated proximal ileum at 2 weeks after the first operation. This baby discharged after diarrhea control with Loperin on 1 month after the second operation. Final histologic examination showed 1) normal population of ganglion cells in both narrowed & dilated ileum in both cases. 2) focal abscence of muscularis propria in both cases. 3) relative hypertrophy of inner circular muscle layer and thinned, multiple fragmented outer longitudinal muscle layer in case 2.

• 대한중풍순환신경학회지
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• 제20권1호
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• pp.75-81
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• 2019

■ Objectives The purpose of this study is to report the improvement of dilated cardiomyopathy after traditional Korean medical treatment; herb-med, acupuncture, moxibustion. ■ Methods A patient with cardiomyopathy whose chef complaint was oversleep, shortness of breath, fatigue and coldness of hand-foot received inpatient treatment from September 2^nd 2019 to September 23^rd 2019. And we analyzed treatment progress and result. ■ Results We observed that traditional Korean medical treatment decreased symptoms; Fatigue by 30% and Coldness of hand-foot by 100%. And The patient's general condition is improved. ■ Conclusion We report this clinical study to be helpful in treating patients of dilated cardiomyopathy by traditional Korean medicine.

• 한국콘텐츠학회논문지
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• 제20권5호
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• pp.1-10
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• 2020

본 논문에서는, 최근 인터넷을 통해 빠르게 확산하고 있는 음향 중심의 음란 콘텐츠를 정확하게 검출하기 위해, 음향의 이웃 신호들 사이에 존재하는 양방향적 연관성을 기반으로 콘텐츠의 유해성을 판단하는 기법을 제안한다. 이웃한 음향 신호들간의 양방향적 연관성을 추출하기 위하여, 양방향 확장-인과 컨벌루션 연산(bi-directional dilated-causal convolution operation)들을 수행하는 확장-인과 컨벌루션 블록을 쌓아 만든 다층구조 양방향 확장-인과 컨벌루션 네트워크를 제안한다. 제안된 유해 콘텐츠 검출 기법의 효용성 검증을 위한 실험에서는 음향 신호의 각 시점으로부터 추출한 단순 특징 벡터를 기계학습 모델로 분류하는 기존 방법, 기존의 확장-인과 컨벌루션 블록을 적용해 음향 시계열 데이터의 순 방향 연관성만을 이용하는 기법, 그리고 본 연구에서 제안한 음향 시계열 데이터의 양방향 연관성까지 이용하여 유해성을 판단하는 기법의 분류 정확성을 비교하였다. 실험 결과에 의하면 본 연구에서 제안한 기법이 최대 84.38%의 인식 정확도를 가지며 이는 기존의 단순 특징 벡터를 이용하는 방법보다 약 25.80% 높고 순 방향 연관성만을 이용하는 기법보다 약 3.10% 높은 것으로 분석되었다.