• 제목/요약/키워드: different alignment approaches

검색결과 17건 처리시간 0.026초

상이한 정렬에 따른 비교분자 유사성 지수분석(CoMSIA) 방법을 이용한 새로운 2-Alkoxyphenyl-3-phenylthioisoindoline-1-one 유도체들의 살균활성에 관한 3차원적인 정량적 구조와 활성과의 관계 (Three Dimensional Quantitative Structure-Activity Relationship Analyses on the Fungicidal Activities of New Novel 2-Alkoxyphenyl-3-phenylthioisoindoline-1-one Derivatives Using the Comparative Molecular Similarity Indices Analyses (CoMSIA) Methodology Based on the Different Alignment Approaches)

  • 성낙도;윤태용;송종환;정훈성
    • 농약과학회지
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    • 제9권1호
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    • pp.26-34
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    • 2005
  • 일련의 새로운 2-alkoxyphenyl-3-phenylthioisoindoline-1-one 유도체들의 구조 변화에 의한 저항성(RPC; 95CC7303)과 감수성(SPC; 95CC7105) 고추역병 균주(Phytopthora capsici)들의 살균활성에 대한 3차원적인 정량적 구조-활성관계(3D-QSAR)를 비교분자 유사성 지수분석(CoMSIA) 방법으로 연구하였다. 그 결과, RPC 균주는 field fit 정렬시 정전기장(E)과 수소결합 받게장(A) 및 분자궤도장(LUMO)이 조합된 조건에서 모델 R5를 그리고 SPC 균주는 atom based fit 정렬시 입체장(S)과 분자궤도장(HOMO)의 조건에서 모델 S1(또는 S5)이 가장 양호한 예측성과 적합성을 나타내는($q^2=0.714{\sim}0.823$$r^2_{ncv.}=0.918{\sim}0.954$) CoMSIA 모델이었다. 또한, RPC 균주에는 LUMO (24.4%) SPC 균주에는 HOMO(13.5%) 분자 궤도장이 그리고 두 균주에 대하여 공통적으로 수소결합 받게장(A)이 살균활성에 기여하는 특성을 나타내었다. 그리고 CoMSIA 등고도 분석결과, 두 균주에 대한 선택적인 살균활성은 N-phenyl 고리상 X-치환기와 S-phenyl 고리상 R-치환기의 구조변화로 이루어질 수 있을 것으로 판단된다.

농업분야 드론영상 메타데이터 표준화 연구 (Standardization Research on Drone Image Metadata in the Agricultural Field)

  • 이원희;배성훈;김진;이영재;임거배
    • 산업경영시스템학회지
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    • 제46권3호
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    • pp.293-302
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    • 2023
  • This study examines and proposes standardization approaches to address the heterogeneous issues of metadata in drone imagery within the agricultural sector. Image metadata comes in various formats depending on different camera manufacturers, with most utilizing EXIF and XMP. The metadata of cameras used in fixed-wing and rotary-wing platforms, along with the metadata requirements in image alignment software, were analyzed for sensors like DJI XT2, MicaSense RedEdge-M, and Sentera Double4K. In the agricultural domain, multispectral imagery is crucial for vegetation analysis, making the provision of such imagery essential. Based on Pix4D SW, a comparative analysis of metadata attributes was performed, and necessary elements were compiled and presented as a proposed standardization (draft) in the form of tag information.

Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning

  • Faizan Ullah;Muhammad Nadeem;Mohammad Abrar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권1호
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    • pp.105-125
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    • 2024
  • Gliomas are the most common malignant brain tumor and cause the most deaths. Manual brain tumor segmentation is expensive, time-consuming, error-prone, and dependent on the radiologist's expertise and experience. Manual brain tumor segmentation outcomes by different radiologists for the same patient may differ. Thus, more robust, and dependable methods are needed. Medical imaging researchers produced numerous semi-automatic and fully automatic brain tumor segmentation algorithms using ML pipelines and accurate (handcrafted feature-based, etc.) or data-driven strategies. Current methods use CNN or handmade features such symmetry analysis, alignment-based features analysis, or textural qualities. CNN approaches provide unsupervised features, while manual features model domain knowledge. Cascaded algorithms may outperform feature-based or data-driven like CNN methods. A revolutionary cascaded strategy is presented that intelligently supplies CNN with past information from handmade feature-based ML algorithms. Each patient receives manual ground truth and four MRI modalities (T1, T1c, T2, and FLAIR). Handcrafted characteristics and deep learning are used to segment brain tumors in a Global Convolutional Neural Network (GCNN). The proposed GCNN architecture with two parallel CNNs, CSPathways CNN (CSPCNN) and MRI Pathways CNN (MRIPCNN), segmented BraTS brain tumors with high accuracy. The proposed model achieved a Dice score of 87% higher than the state of the art. This research could improve brain tumor segmentation, helping clinicians diagnose and treat patients.

정맥기형 환자에 있어서의 유전자 발현 차이 (Difference of Gene Expression in Venous Malformation)

  • 김택균;오은정;조병채;정호윤
    • Archives of Plastic Surgery
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    • 제34권6호
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    • pp.671-678
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    • 2007
  • Purpose: Venous malformation(VM) which often causes pain and discomfort is the most common type of vascular malformations. Although it is presented with disfigured appearance and associated soft tissue or skeletal hypertrophy, the molecular bases of VMs are poorly understood. Differentially expressed genes(DEGs) of VMs were investigated to illuminate the molecular mechanism of the disease entity. Methods: Gene expressions of VM patients' subcutaneous tissue were studied in comparison with normal persons' by $GeneFishing^{TM}$ technique using the annealing control primers (ACPs) to identify DEGs. Candidate genes were sequenced and screened by basic local alignment search tool (BLAST) afterwards. Results: Among seventy DEGs identified, forty DEGs which had shown significantly different expression pattern were sequenced. Twenty eight out of 40 were up-regulated while 12 were down-regulated. BLAST searches revealed that 37 were known genes and 3 were unknown genes. Many genes were involved in the differentiation and remodeling of smooth muscle cells, opposed to the previous hypothesis that a lot of angiogenetic genes would be involved. Furthermore, several transcription factors and related genes, as well as cell signaling and metabolism regulators, were up regulated. Conclusion: It suggests that analysis of DEGs in VMs provide basic knowledge about its pathophysiology. and new therapeutic approaches.

점 행렬을 이용한 새로운 부분 영상 검색 기법 (A Novel Sub-image Retrieval Approach using Dot-Matrix)

  • 김준호;강경민;이도훈
    • 한국산학기술학회논문지
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    • 제13권3호
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    • pp.1330-1336
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    • 2012
  • 영상 검색 방법은 텍스트 기반, 내용 기반, 영역 기반 영상 검색, 부분 영상 검색 방법 등 다양한 연구가 이루어지고 있다. 그 중에 부분 영상 검색은 질의 영상을 포함하는 대상 영상을 찾는 문제이다. 본 논문에서는 생물정보학에서 사용하는 점 행렬 방법을 이용한 새로운 부분 영상 검색 방법을 제안한다. 점 행렬은 두 DNA 서열 간에 유사도를 시각화하는 방법으로써 영상 검색에 적용하여 두 영상 간에 유사도를 비교하는 문제로 재정의한다. 이 알고리즘을 적용하기 위해서 이차원 배열 정보인 영상을 일차원 명암도 영상으로 변환한다. 두 일차원 명암도 영상을 정렬하여 생성된 점 행렬을 이용하여 부분 영상 후보 영역을 생성한다. 실험에는 10 개의 대상 영상과 대상 영상의 부분을 복사한 영상, 축소한 영상, 확대한 영상으로 5종류의 질의 영상을 사용하였다.

Fabrication of Hot Electron Based Photovoltaic Systems using Metal-semiconductor Schottky Diode

  • Lee, Young-Keun;Jung, Chan-Ho;Park, Jong-Hyurk;Park, Jeong-Young
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2010년도 제39회 하계학술대회 초록집
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    • pp.305-305
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    • 2010
  • It is known that a pulse of electrons of high kinetic energy (1-3 eV) in metals can be generated with the deposition of external energy to the surface such as in the absorption of light or in exothermic chemical processes. These energetic electrons are not in thermal equilibrium with the metal atoms and are called "hot electrons" The concept of photon energy conversion to hot electron flow was suggested by Eric McFarland and Tang who directly measured the photocurrent on gold thin film of metal-semiconductor ($TiO_2$) Schottky diodes [1]. In order to utilize this scheme, we have fabricated metal-semiconductor Schottky diodes that are made of Pt or Au as a metallic layer, Si or $TiO_2$ as a semiconducting substrate. The Pt/$TiO_2$ and Pt/Si Schottky diodes are made by PECVD (Plasma Enhanced Chemical Vapor Deposition) for $SiO_2$, magnetron sputtering process for $TiO_2$, e-beam evaporation for metallic layers. Metal shadow mask is made for device alignment in device fabrication process. We measured photocurrent on Pt/n-Si diodes under AM1.5G. The incident photon to current conversion efficiency (IPCE) at different wavelengths was measured on the diodes. We also show that the steady-state flow of hot electrons generated from photon absorption can be directly probed with $Pt/TiO_2$ Schottky diodes [2]. We will discuss possible approaches to improve the efficiency of photon energy conversion.

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The Experimental Investigations of the Big Size Holographic Screen in the Autostereoscopic Displays

  • Son, J. Y.;Choi, Y. J.;Bahn, J. E.;Bobrinev, V.-I.
    • Journal of the Optical Society of Korea
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    • 제5권2호
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    • pp.55-59
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    • 2001
  • Results of an experimental study of possible ways to extend the capabilities of a big size transmission type holographic screen are presented. Different approaches to the problem of making a big size screen have been considered and tested experimentally. Up to 60$\times$80 $\textrm{cm}^2$ screens have been recorded on a single photographic plate VRP-M. By attaching a mirror behind the screen, the reflection mode of operation has been obtained. In this arrangement some additional peculiarities appear in the screen, which can be used to extend the screen capabilities. The first possibility is to increase the screen size by mosaicking the subscreens in the reflection mode of operation. Screens of 120$\times$80 $\textrm{cm}^2$ and 180$\times$40 $\textrm{cm}^2$ have been obtained by proper alignment of 60$\times$40 $\textrm{cm}^2$ subscreens. The second possibility is to move the viewing Bone by rotation of the screen together with the mirror and thereby realize by the eye-tracking capability. Methods of increasing vertical size of the viewing zone have been considered. Along with the multi-exposure method, which was considered in previous papers, addition of the vertical diffuser with the optimized scattering angle has been tested experimentally. The vertical size of the viewing zone has been increased by up to 10-15 cm. Another method consists of usage of a diffraction grating with vertical dispersion to solve the same problem.