http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Recent progress in the development of backplane thin film transistors for information displays
Byeon Gwon,Jang Seong Cheol,Roh Taewan,Park Ji-Min,Kim Hyun-Suk,Noh Yong-Young 한국정보디스플레이학회 2023 Journal of information display Vol.24 No.3
This review aims to provide a technical roadmap and an overview of recent progress in the development of backplane thin film transistors (TFTs) for organic light-emitting diodes flat panel displays and next-generation flexible displays. In the introduction, we provide a general overview of the research trends for backplane TFTs. The main part describes the current technical level and prospects for amorphous metal oxide semiconducting, metal halide perovskites, and 2D transition metal dichalcogenides TFTs. The summary and prospects are provided in the conclusion section.
GPU 를 이용한 동종 유한요소 변형체 모델의 탄성력 계산 병렬화 알고리즘
변성필(Seong Pil Byeon),이두용(Doo Yong Lee) 제어로봇시스템학회 2017 제어·로봇·시스템학회 논문지 Vol.23 No.10
Computation of the elastic force in a deformation model requires an extensive computational load. This paper presents aparallel algorithm to compute the elastic force. The elastic force of each element is decomposed into nodal forces to eliminate the dependency among the computations. Additional information such as a set of neighboring elements and the order of the nodes in the corresponding element is used. Co-rotational formulation to simulate the large deformation is also realized. Simulation result shows that the proposed method has a better computational efficiency than the conventional method in high-resolution models. The benefit of the proposed method increases with increasing number of elements. The upper limit on the number of finite elements for the realtime computation is significantly increased through the parallel computation.
Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks
Son, Seong-Jin,Park, Bo-yong,Byeon, Kyoungseob,Park, Hyunjin Elsevier 2019 Computers in biology and medicine Vol.115 No.-
<P><B>Abstract</B></P> <P><B>Purpose</B></P> <P>Medical image synthesis can simulate a target modality of interest based on existing modalities and has the potential to save scanning time while contributing to efficient data collection. This study proposed a three-dimensional (3D) deep learning architecture based on a fully convolutional network (FCN) to synthesize diffusion-tensor imaging (DTI) from resting-state functional magnetic resonance imaging (fMRI).</P> <P>Methods: fMRI signals derived from white matter (WM) exist and can be used for assessing WM alterations. We constructed an initial functional correlation tensor image using the correlation patterns of adjacent fMRI voxels as one input to the FCN. We considered T1-weighted images as an additional input to provide an algorithm with the structural information needed to synthesize DTI. Our architecture was trained and tested using a large-scale open database dataset (training n = 648; testing n = 293).</P> <P><B>Results</B></P> <P>The average correlation value between synthesized and actual diffusion tensors for 38 WM regions was 0.808, which significantly improves upon an existing study (<I>r</I> = 0.480). We also validated our approach using two open databases. Our proposed method showed a higher correlation with the actual diffusion tensor than the conventional machine-learning method for many WM regions.</P> <P><B>Conclusions</B></P> <P>Our method synthesized DTI images from fMRI images using a 3D FCN architecture. We hope to expand our method of synthesizing various other imaging modalities from a single image source.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Diffusion-tensor imaging was synthesized from functional magnetic resonance imaging. </LI> <LI> 3D fully convolutional network was proposed. </LI> <LI> Our method was trained and tested using a large-scale open database dataset. </LI> <LI> Our approach was tested for both normal and diseased cases. </LI> </UL> </P>
Kim, Yong-Min,Kim, Seungill,Koo, Namjin,Shin, Ah-Young,Yeom, Seon-In,Seo, Eunyoung,Park, Seong-Jin,Kang, Won-Hee,Kim, Myung-Shin,Park, Jieun,Jang, Insu,Kim, Pan-Gyu,Byeon, Iksu,Kim, Min-Seo,Choi, JinH Oxford University Press 2017 DNA research Vol.24 No.1
<P><B>Abstract</B></P><P><I>Hibiscus syriacus</I> (L.) (rose of Sharon) is one of the most widespread garden shrubs in the world. We report a draft of the <I>H. syriacus</I> genome comprised of a 1.75 Gb assembly that covers 92% of the genome with only 1.7% (33 Mb) gap sequences. Predicted gene modeling detected 87,603 genes, mostly supported by deep RNA sequencing data. To define gene family distribution among relatives of <I>H. syriacus</I>, orthologous gene sets containing 164,660 genes in 21,472 clusters were identified by OrthoMCL analysis of five plant species, including <I>H. syriacus</I>, <I>Arabidopsis thaliana, Gossypium raimondii, Theobroma cacao</I> and <I>Amborella trichopoda.</I> We inferred their evolutionary relationships based on divergence times among Malvaceae plant genes and found that gene families involved in flowering regulation and disease resistance were more highly divergent and expanded in <I>H. syriacus</I> than in its close relatives, <I>G. raimondii</I> (DD) and <I>T. cacao</I>. Clustered gene families and gene collinearity analysis revealed that two recent rounds of whole-genome duplication were followed by diploidization of the <I>H. syriacus</I> genome after speciation. Copy number variation and phylogenetic divergence indicates that WGDs and subsequent diploidization led to unequal duplication and deletion of flowering-related genes in <I>H. syriacus</I> and may affect its unique floral morphology.</P>
점 접촉 시뮬레이션에서 균일 육면 요소 기반 변형체 모델의 정확도 검증
변성필(Seong Pil Byeon),이두용(Doo Yong Lee) 대한기계학회 2016 대한기계학회 춘추학술대회 Vol.2016 No.12
Deformation model using homogeneous hexahedral elements and a surface structure can have an advantage at numerical stability and computational efficiency over the conventional finite-element model. The accuracy is, however, sacrificed because of the approximation at the surface region. This paper explores the accuracy of the homogeneous hexahedral elements in a single-point contact simulation. Conventional finite-element model with the same surface geometry is considered as a reference model. Material properties of the human liver are used for the modeling of the deformable object. The error of the displacement and the contact force are within the 10% which can be allowed considering the human just noticeable difference.