• 융합정보논문지
• /
• 제11권10호
• /
• pp.45-52
• /
• 2021

본 논문에서는 U-Net 기반의 semantic segmentation 방법에서 정확도를 개선하기 위한 Atrous Residual U-Net (AR-UNet)을 제안하였다. U-Net은 의료 영상 분석, 자율주행 자동차, 원격 감지 영상 등의 분야에서 주로 사용된다. 기존 U-Net은 인코더 부분에서 컨볼루션 계층 수가 적어 추출되는 특징이 부족하다. 추출된 특징은 객체의 범주를 분류하는 데 필수적이며, 부족할 경우 분할 정확도를 저하시키는 문제를 초래한다. 따라서 이 문제를 개선하기 위해 인코더에 residual learning과 ASPP를 활용한 AR-UNet을 제안하였다. Residual learning은 특징 추출 능력을 개선하고, 연속적인 컨볼루션으로 발생하는 특징 손실과 기울기 소실 문제 방지에 효과적이다. 또한 ASPP는 특징맵의 해상도를 줄이지 않고 추가적인 특징 추출이 가능하다. 실험은 Cityscapes 데이터셋으로 AR-UNet의 효과를 검증하였다. 실험 결과는 AR-UNet이 기존 U-Net과 비교하여 향상된 분할 결과를 보였다. 이를 통해 AR-UNet은 정확도가 중요한 여러 응용 분야의 발전에 기여할 수 있다.

• ETRI Journal
• /
• 제44권6호
• /
• pp.1034-1046
• /
• 2022

The learning-based multiview stereo (MVS) methods for three-dimensional (3D) reconstruction generally use 3D volumes for depth inference. The quality of the reconstructed depth maps and the corresponding point clouds is directly influenced by the spatial resolution of the 3D volume. Consequently, these methods produce point clouds with sparse local regions because of the lack of the memory required to encode a high volume of information. Here, we apply the atrous spatial pyramid pooling (ASPP) module in MVS methods to obtain dense feature maps with multiscale, long-range, contextual information using high receptive fields. For a given 3D volume with the same spatial resolution as that in the MVS methods, the dense feature maps from the ASPP module encoded with superior information can produce dense point clouds without a high memory footprint. Furthermore, we propose a 3D loss for training the MVS networks, which improves the predicted depth values by 24.44%. The ASPP module provides state-of-the-art qualitative results by constructing relatively dense point clouds, which improves the DTU MVS dataset benchmarks by 2.25% compared with those achieved in the previous MVS methods.

• 한국진공학회:학술대회논문집
• /
• 한국진공학회 1999년도 제16회 학술발표회 논문개요집
• /
• pp.47-47
• /
• 1999

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2020년도 추계학술대회
• /
• pp.15-17
• /
• 2020

본 논문에서는 Convolutional Neural Network(CNN)를 이용한 위성 영상 변화탐지 알고리즘을 제안한다. 우선 EfficientNet 기반의 대칭 인코더-디코더 구조의 변화탐지 네트워크를 구성한다. 그리고 디코더 단에 ASPP 모듈을 추가하여 넓은 수용영역을 갖는 특징 정보를 통해 변화지도(change map)를 복원한다. 실험 결과를 통해 검출 성능 및 연산 효율성이 기존 기법보다 우수함을 보인다.

• 한국양식학회:학술대회논문집
• /
• 한국양식학회 2003년도 추계학술발표대회 논문요약집
• /
• pp.19-19
• /
• 2003

This presentation reviewed the dietary vitamin C requirements in main marine finfish culture in Korea. In experiment I, an II-week feeding trial was conducted to study the effects of the different levels of dietary vitamin C on growth, tissue ascorbic acid concentrations and histopathological changes in parrot fish. Casein and gelatin based diets were formulated to contain 0, 60, 120, 240, 480 and 2000mg L-ascorbic acid (AA)kg diets on Ah equivalent basis in the form of L-ascorbyl-2-monophosphate (AMP), 60 and 240 mg AA/kg diet as L-ascorbic acid. Broken line analysis of weight gain indicated that the dietary vitamin C requirement of parrot fish is l18$\pm$12 mg AA/kg diet in the form of L-ascorbyl-2-monophosphate for maximum growth. In experiment II, a 12-week experiment was conducted to compare L-ascorbyl-2-monophosphate-Ca (AMP-Ca) with L-ascorbyl-2-monophosphate-Na/Ca (AMP-Na/Ca) for supplying the dietary vitamin C for juvenile Korean rockfish Sebastes schlegeli. Fish were fed one of 11 semi-purified diets containing equivalent of 0, 50, 100, 200, 400, and 800 mg ascorbic acid (AA)kg diet in the form of AMP-Ca or AMP-Na/Ca for 12 weeks. Broken line analysis of weight gain indicated that the dietary vitamin C requirement of Korean rockfish is 100 mg AA/kg diet in the form of AMP-Na/Ca, and 117 nag AA/kg diet in the form of AMP-Ca. In experiment III, a 12-week experiment was conducted to study the effects of different dietary levels of vitamin C, L-ascorbyl-2-polyphosphate (ASPP), on growth and tissue vitamin C concentrations in juvenile olive flounder. Fish were fed one of six semi-purified diets containing an equivalent of 0, 25, 50, 75, 150, or 1500 mg ascorbic acid (AA) kg 1 diet in the form of ASPP for 12 weeks. Based on broken line analyses for WG and PER, the optimum dietary levels of vitamin C were 91 and 93 mg AA/kg diet, respectively.

• Asian Pacific Journal of Cancer Prevention
• /
• 제13권5호
• /
• pp.1727-1735
• /
• 2012

Regardless of advances in treatment modalities with the invention of newer therapies, breast cancer remains a major health problem with respect to its diagnosis, treatment and management. This female malignancy with its tremendous heterogeneous nature is linked to high incidence and mortality rates, especially in developing region of the world. It is the malignancy composed of distinct biological subtypes with diverse clinical, pathological, molecular and genetic features as well as different therapeutic responsiveness and outcomes. This inconsistency can be partially overcome by finding novel molecular markers with biological significance. In recent years, newer technologies help us to indentify distinct biomarkers and increase our understanding of the molecular basis of breast cancer. However, certain issues need to be resolved that limit the application of gene expression profiling to current clinical practice. Despite the complex nature of gene expression patterns of cDNAs in microarrays, there are some innovative regulatory molecules and functional pathways that allow us to predict breast cancer behavior in the clinic and provide new targets for breast cancer treatment. This review describes the landscape of different molecular markers with particular spotlight on vitamin D signaling pathway and apoptotic specific protein of p53 (ASPP) family members in breast cancer.

• 폴리머
• /
• 제25권1호
• /
• pp.49-55
• /
• 2001

비닐계 단량체인 아크릴로니트릴과 스티렌을 E-beam 전조사법에 의해 폴리프로필렌 섬유에 그라프트 반응시켜 PP-g-(AN/St) 공중합체를 제조한 후 아미드옥심기와 슬폰기를 도입하여 이관능성 이온교환섬유를 제조하였다. 그라프트율은 단량체 내에 아크릴로니트릴의 조성이 감소할수록 증가하였으며 최대 101.1%이었고 최대 아미드옥심화율은 7.2 mmol/g이었다. 또한 섬유상 이온교환체의 초기 열분해 온도는 120 ${\circ}C$ 이었고 함수율은 공중합체 내에 아미드옥심화율이 증가할수록 감소하였고 슬폰화율이 증가할수록 증가하는 경향을 나타냈다. APP-g-AN, SPP-g-St, ASPP-g-(AN/St) 이온교환체의 우라늄 흡착량은 각각 12.4, 34, 38mg/g이었으며 최적 흡착시간은 약 50시간이었다. 우라늄 흡착 실험결과, 본 실험에서 합성한 이온교환체 ASPP-g-(AN/St)는 $UO_2^{2+}$에 대하여 우수한 성능을 보였다.

• 한국콘텐츠학회논문지
• /
• 제18권11호
• /
• pp.447-454
• /
• 2018

본 논문은 컨볼루션 신경망으로 이루어진 학습 모델을 통해 스테레오 영상의 깊이영상 생성 알고리즘을 제안한다. 제안하는 알고리즘은 좌, 우 시차 영상을 입력으로 받아 각 시차영상의 주요 특징을 추출하는 특징 추출부와 추출된 특징을 이용하여 시차 정보를 학습하는 깊이 학습부로 구성된다. 우선 특징 추출부는 2D CNN 계층들로 이루어진 익셉션 모듈(xception module) 및 ASPP 모듈(atrous spatial pyramid pooling) module을 통해 각각의 시차영상에 대한 특징맵을 추출한다. 그 후 각 시차에 대한 특징 맵을 시차에 따라 3차원 형태로 쌓아 3D CNN을 통해 깊이 추정 가중치를 학습하는 깊이 학습부를 거친 후 깊이 영상을 추정한다. 제안하는 알고리즘은 객체 영역에 대해 기존의 다른 학습 알고리즘들 보다 정확한 깊이를 추정하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권1호
• /
• pp.60-79
• /
• 2022

The U-Net architecture-based segmentation models attained remarkable performance in numerous medical image segmentation missions like skin lesion segmentation. Nevertheless, the resolution gradually decreases and the loss of spatial information increases with deeper network. The fusion of adjacent layers is not enough to make up for the lost spatial information, thus resulting in errors of segmentation boundary so as to decline the accuracy of segmentation. To tackle the issue, we propose a new deep learning-based segmentation model. In the decoding stage, the feature channels of each decoding unit are concatenated with all the feature channels of the upper coding unit. Which is done in order to ensure the segmentation effect by integrating spatial and semantic information, and promotes the robustness and generalization of our model by combining the atrous spatial pyramid pooling (ASPP) module and channel attention module (CAM). Extensive experiments on ISIC2016 and ISIC2017 common datasets proved that our model implements well and outperforms compared segmentation models for skin lesion segmentation.

• Journal of Microbiology and Biotechnology
• /
• 제24권5호
• /
• pp.714-718
• /
• 2014

Apoptosis is the process of programmed cell death executed by specific proteases, the caspases, which mediate the cleavage of various vital proteins. Elucidating the consequences of this endoproteolytic cleavage is crucial to understanding cell death and other related biological processes. Although a number of possible roles for caspase-6 have been proposed, the identities and functions of proteins that interact with caspase-6 remain uncertain. In this study, we established a cell line expressing tandem affinity purification (TAP)-tagged caspase- 6 and then used LC-MS/MS proteomic analysis to analyze the caspase-6 interactome. Eight candidate caspase-6-interacting proteins were identified. Of these, five proteins (hnRNP-M, DHX38, ASPP2, MTA2, and UACA) were subsequently examined by co-immunoprecipitation for interactions with caspase-6. Thus, we identified two novel members of the caspase-6 interactome: hnRNP-M and MTA2.