• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.10B
• /
• pp.1841-1851
• /
• 1999

Banyan network has been widely employed as a basic building block for ATM switches. But the banyan network has very low routing capacity because of the internal blocking problem. Hence, a dilated banyan network has been used as one solution that can overcome the internal blocking problem. However, tremendous network capacity is wasted in the dilated network In this paper, we propose a dilated banyan network with deflection routing and recirculation mechanism to fully utilize the wasted capacity. The performance of the proposed switch is analysed under uniform traffic assumption. Numerical and simulation results show that the proposed switch yields a significant improvement of the maximum throughput as compared that of the pure dilated banyan network.

• Molecules and Cells
• /
• v.39 no.10
• /
• pp.722-727
• /
• 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)
• /
• v.16 no.11
• /
• pp.3493-3506
• /
• 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.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2021.01a
• /
• pp.65-68
• /
• 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
• /
• v.15 no.16
• /
• pp.6823-6827
• /
• 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)
• /
• v.14 no.9
• /
• pp.3598-3614
• /
• 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.

• Journal of Veterinary Clinics
• /
• v.16 no.2
• /
• pp.509-513
• /
• 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
• /
• v.1 no.2
• /
• pp.181-185
• /
• 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.

• The Journal of the Society of Stroke on Korean Medicine
• /
• v.20 no.1
• /
• pp.75-81
• /
• 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.

• The Journal of the Korea Contents Association
• /
• v.20 no.5
• /
• pp.1-10
• /
• 2020

In this paper, we propose a new pornographic content detection scheme using bi-directional relationships between neighboring auditory signals in order to accurately detect sound-centered obscene contents that are rapidly spreading via the Internet. To capture the bi-directional relationships between neighboring signals, we design a multilayered bi-directional dilated-causal convolution network by stacking several dilated-causal convolution blocks each of which performs bi-directional dilated-causal convolution operations. To verify the performance of the proposed scheme, we compare its accuracy to those of the previous two schemes each of which uses simple auditory feature vectors with a support vector machine and uses only the forward relationships in audio signals by a previous stack of dilated-causal convolution layers. As the results, the proposed scheme produces an accuracy of up to 84.38% that is superior performance up to 25.80% than other two comparison schemes.