http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
개별검색 DB통합검색이 안되는 DB는 DB아이콘을 클릭하여 이용하실 수 있습니다.
통계정보 및 조사
예술 / 패션
<해외전자자료 이용권한 안내>
- 이용 대상 : RISS의 모든 해외전자자료는 교수, 강사, 대학(원)생, 연구원, 대학직원에 한하여(로그인 필수) 이용 가능
- 구독대학 소속 이용자: RISS 해외전자자료 통합검색 및 등록된 대학IP 대역 내에서 24시간 무료 이용
- 미구독대학 소속 이용자: RISS 해외전자자료 통합검색을 통한 오후 4시~익일 오전 9시 무료 이용
※ 단, EBSCO ASC/BSC(오후 5시~익일 오전 9시 무료 이용)
This paper proposes a 3D image augmentation method for improving the generalization performance of deep neural networks. It allows us to enrich the diversity of training data samples that is essential in medical image segmentation tasks, thus reducing the data overfitting problem caused by the fact the scale of medical image dataset is typically smaller. It also enables us to predict medical segmentation surfaces in Euclidean space without additional labeled datasets. This method includes image transformation functions, which are comprised of a spatial deformation and image intensity change, enabling the synthesis of complex effects such as variations in anatomy and image acquisition procedures. Our numerical experiments demonstrate that the proposed approach provides significant improvements over state-of-the-art methods for 3D medical image segmentation.
The definition and utilization of curvilinear coordinate system is one of the important topics that are necessary to formulate the physical laws with relative easy and also to cope with the difficulties in applying numerical techniques and algorithms to irregular domains or complex geometries. The choice of a suitable curvilinear coordinate system enables to significantly simplify the solution procedure and to obtain the numerical solution with less sensitive truncation errors. In this paper, we present a method for representing and computing generalized curvilinear coordinate system with non-rational trivariate B-spline volume. We start by introducing its mathematical formulation for the construction of curvilinear coordinate system. Then we describe the computational algorithms concerning the internal structures of the curvilinear coordinate system in terms of our representation form. Next we explain the details of the construction algorithms, data fitting with curvilinear or scattered data. In addition, we give grid generation examples to show the capabilities of our representation with some illustrating figures. Finally, we remark on the potential of our representation scheme extended to integrate with all geometric shapes and their internal physical attributes.
Highly detailed geometric models are rapidly becoming commonplace in CAD/CAM, computer graphics, and other applications. Polygonal meshes are the most appropriate geometry representation for the complex models. They are flexible enough to represent any arbitrary shapes within any specific tolerance and can be directly rendered even on today's low cost PCs. In this paper, we describe the design and implementation of our face-based data structure for triangulated polygonal meshes. We start by identifying the minimal requirements, time and space efficiency, for triangular mesh data structure in the context of the geometric modeling and processing. Then we explain the details of the data structure and its design intent or features. Next, we give detailed implementations developed for atomic mesh operations with some illustrating figures and examples. Finally, we evaluate the modeling capabilities of our data structure by mesh processing applications such as smoothing, simplification, and subdivision.
The primary purpose of this study is to understand academic library service as a brand and a set of brand offerings. Based on previous studies, the study has built a classification of three distinctive perceptual aspects of library services; perceptual aspect of the service, experiential aspect of the service, and functional aspect of service. Eleven measurement items and 45 questions that are subject to the items are studied and employed from previous studies, each of the items were allocated through Item Response Theory (IRT) test and cluster analysis to filter in items of substantial contribution to the constructs as well as filtering out less contributable ones. The study shows there are 27 effective items to understand and measure library service as a brand. 이 연구의 목적은 대학 도서관의 브랜드 이미지 측정을 위한 연구모형을 제시하는 것이다. 도서관 브랜드 이미지의 구성요소를 추출하기 위하여 선행연구를 조사하여 도서관 브랜드 이미지의 구성차원을 기능적 이미지, 경험적 이미지, 상징적 이미지의 3개의 차원으로 나누고, 이를 다시 총 11개의 하부차원과 45개의 항목으로 구분하였다. 구분된 항목을 대상으로 IRT(item response test)와 군집분석을 실시하였으며, 그 결과 총 3개의 차원과 9개의 하부차원 그리고 27개의 항목이 도서관의 브랜드 이미지 영향요소로서 유효한 것으로 나타났다.
'스콜라' 이용 시 소속기관이 구독 중이 아닌 경우, 오후 4시부터 익일 오전 7시까지 원문보기가 가능합니다.
농촌진흥청 국립원예특작과학원에서는 2006년 분홍색 반겹꽃 ‘Pavlov'와 ‘Patrick'을 교배하여 얻은 실생계통으로부터 2006년부터 2009년까지 4년 동안의 생육특성검정을 거쳐 화색이 밝고 선명하며 초세가 강건한 대륜계통의 연한 황색(RHS Y9C) 반겹꽃 절화용 거베라 신품종 ‘Sunny Lemon'을 품종육성하였다. 꽃의 직경은 11.0 cm인 대륜계통이며, 내화경과 화심장이 각각 7.63 cm와 2.59 cm 정도이다. 정식 후 개화까지 A new gerbera cultivar ‘Sunny Lemon' was released by the National Institute of Horticultural and Herbal Science (NIHHS) in 2009. A cross was made between ‘Pavlov' and ‘Patrick' with pink and semi-double in 2006. After investigation of the characteristics for four years (from 2006 to 2009), it was selected for the use of cut flower. ‘Sunny Lemon' is a vigorous cultivar with yellow flower color (RHS Y9C), brown center and semi-double. The average flower diameter is 11.0 cm. And inner ray floret and disc diameter are 7.63 cm and 2.59 cm, respectively. Days to first blooming are 84.5, approximately 2 weeks earlier than the standard cultivar. It produces a large yield with continuous supply of cut flowers and has adequate peduncle height. We believe that ‘Sunny Lemon' has a great potential for expanding cultivated area of domestic gerbera cultivars and increasing farmers' income.
This paper proposes a generalized NURBS model, called Volumetric NURBS or VNURBS for representing volumetric objects with multiple attributes embedded in multidimensional space. This model provides a mathematical framework for modeling complex structure of heterogeneous objects and analyzing inside of objects to discober features that are directly inaccessible, for deeper understanding of complex field configurations, The defining procedure of VNURBS, which explains two directional extensions of NURBS, show VNURBS is a generalized volume function not depending on the domain and its range dimensionality, And the recursive algorithm for VNURBS derivatives is described as a computational basis for efficient and rebust volume modeling. In addition, the specialized versions of VNURBS demonstrate that VNURBS is applicable to various applications such as geometric modeling, volume rendering, and physical field modeling.
This paper describes the volumetric data modeling and analysis methods that employ volumetric NURBS or VNURBS that represents heterogeneous objects or fields in multidimensional space. For volumetric data modeling, we formulate the construction algorithms involving the scattered data approximation and the curvilinear grid data interpolation. And then the computational algorithms are presented for the geometric and mathematical analysis of the volume data set with the VNURBS model. Finally, we apply the modeling and analysis methods to various field applications including grid generation, flow visualization, implicit surface modeling, and image morphing. Those application examples verify the usefulness and extensibility of our VNUBRS representation in the context of volume modeling and analysis.