• 제목/요약/키워드: Level Descriptors

검색결과 55건 처리시간 0.025초

산업제품으로서의 아동가구 비젼 설정 및 디자인 개발을 위한 연구 - 아동실 및 아동가구 실태조사와 아동가구에 대한 반응조사를 중심으로 - (Visions for Children's Furniture as an Industrial Design Product - A Descriptive Research Based on the Survey Results of Children' Room and Furniture Conditions, and Perceptual Attitute toward the Furniture -)

  • 이연숙
    • 대한가정학회지
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    • 제24권4호
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    • pp.147-162
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    • 1986
  • This research has dual purposes. First, it was designed to determine the level of children's spatial environment in the residences, thereby, to make a vision for children's furniture as an industrial design product. Second, it was intened to find out the children's perceptual pattern toward the furniture, thereby to give some implications for future design development. For the second purpose, descriptors were screened with construct validity and their factor structure was identified. The subjects were 1,197 children from 1st grade of elemantary school through 3rd grade of middle school, and their 1,197 parents for the first purpose, and 560 children from 6th grades of elemantary school and 3rd grade of middle school for the second purpose. The first parts of findings were 1) present interests of parents of household above middle income level in Seoul in making their children's spatial environment desirable is quite high. 2) Space segregation stage in terms of physical and conceptual aspects showed very fast development, that is, there will have been very good changes for children's room to be a very well furnished and independent space for them. 3) Children's opinions were quite well reflected when purchasing the present furniture, and this tendency seemed to be more likely happend in future. These findings mentioned above gave and confirmed the visions for future children's furnished environment. The second parts of findings were such that the perceptual pattern for furniture by children showed aesthetic design appearance, functionality and durability, and the characteristic of line. This result impliated especially that designers should be every careful to manipulate or use the line of the furniture products. The 22 representative descriptors selected can be used as an evaluation instrument for furniture products.

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컴퓨터 보조진단을 위한 초음파 영상에서 갑상선 결절의 텍스쳐 분석 (Texture analysis of Thyroid Nodules in Ultrasound Image for Computer Aided Diagnostic system)

  • 박병은;장원석;유선국
    • 한국멀티미디어학회논문지
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    • 제20권1호
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    • pp.43-50
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    • 2017
  • According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.

Deep Local Multi-level Feature Aggregation Based High-speed Train Image Matching

  • Li, Jun;Li, Xiang;Wei, Yifei;Wang, Xiaojun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권5호
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    • pp.1597-1610
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    • 2022
  • At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.

Statistical Study For The prediction of pKa Values of Substituted Benzaldoxime Based on Quantum Chemicals Methods

  • Al-Hyali, Emad A.S.;Al-Azzawi, Nezar A.;Al-Abady, Faiz M.H.
    • 대한화학회지
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    • 제55권5호
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    • pp.733-740
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    • 2011
  • Multiple regression analysis was used for the calculation of pKa values of 15 substituted benzaldoximes by using various types of descriptors as parameters. These descriptors are based on quantum mechanical treatments. They were derived by employing semi-empirical calculation represented by the PM3 model and an Abinitio method expressed by Hartree-Fock(HF) model performed at the 6-311 G(d, p) level of theory. The parameters tested for their ability to represent the variations observed in the experimental pKa(s) are atomic and structural properties including Muliken charges on the atoms of hydroxyl group and C=N bond, the angle $C_6-C_1-C_7$, and length of O-H bond. Molecular properties are also used like energies of HOMO and LUMO, hardness(${\eta}$), chemical potential(${\mu}$), total energy(TE), dipole of molecule(DM), and electrophilicity index(W). The relation between pKa values and each of these parameters of the studied compounds is investigated. Depending on these relations, two sets of parameters were constructed for comparison between the PM3 and HF methods. The results obtained favor the Abinitio method for such applications although both models proved to have high predictive power and have sufficient reliability to describe the effect of substituents on pKa values of benzaldoxime compounds under consideration which is clear from the values of correlation coefficient $R^2$ obtained and the consistency between the experimental and the calculated values.

Pitch 히스토그램을 이용한 내용기반 음악 정보 검색 (Content-based Music Information Retrieval using Pitch Histogram)

  • 박만수;박철의;김회린;강경옥
    • 방송공학회논문지
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    • 제9권1호
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    • pp.2-7
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    • 2004
  • 본 논문에서는 내용 기반 음악 정보 검색에 MPEG-7에 정의된 오디오 서술자를 적용하는 방법을 제안한다. 특히 Pitch 정보와 timbral 특징들은 음색 구분을 용이하게 할 수 있어 음악 검색뿐만 아니라 음악 장르 분류 또는 QBH(Query By Humming)에 이용 될 수 있다. 이러한 방법을 통하여 오디오 신호의 대표적인 특성을 표현 할 수 있는 특징벡터를 구성 할 수 있다면 추후에 멀티모달 시스템을 이용한 검색 알고리즘에도 오디오 특징으로 이용 될 수 있을 것이다. 본 논문에서는 방송 시스템에 적용하기 위해 영화나 드라마의 배경음악에 해당하는 O.S.T 앨범으로 검색 범위를 제한하였다. 즉, 사용자가 임의로 검색을 요청한 시점에서 비디오 컨텐츠로부터 추출한 임의의 오디오 클립만을 이용하여 그 컨텐츠 전체의 O.S.T 앨범 내에서 음악을 검색할 수 있도록 하였다. 오디오 특징 백터를 구성하기 위해 필요한 MPEG-7 오디오 서술자의 조합 방법을 제안하고 distance 또는 ratio 계산 방식을 통해 성능 향상을 추구하였다. 또한 reference 음악의 템플릿 구성 방식의 변화를 통해 성능 향상을 추구하였다. Classifier로 k-NN 방식을 사용하여 성능평가를 수행한 결과 timbral spectral feature 보다는 pitch 정보를 이용한 특징이 우수한 성능을 보였고 vector distance 방식으로는 특징들의 비율을 이용한 IFCR(Intra-Feature Component Ratio) 방식이 ED(Euclidean Distance) 방식보다 우수한 성능을 보였다.

PC 기반의 플루트 연주 자율학습 소프트웨어 개발 (Development of PC based flute performance learning software)

  • 김재영;이정철;전희성
    • 한국컴퓨터정보학회논문지
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    • 제18권2호
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    • pp.95-105
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    • 2013
  • 음악교육은 창의력, 사회성, 학업 성취도를 향상시킨다. 효율적인 음악교육을 위해서 학습자의 학습 수준, 속도에 맞게 학습할 수 있는 학습도구의 개발에 대한 요구가 높아지고 있다. 본 논문에서는 콘텐츠의 형식을 지정하는 템플릿과 콘텐츠 내용을 기술하는 디스크립터 파일을 사용하여 일반 PC환경에서 PC MIDI를 이용한 자기주도플루트 연주 학습 소프트웨어를 구현하는 방법을 제안한다. 제안된 방법은 사용자가 디스크립터 파일을 직접 변경할 수 있어서 악기 연주 학습자의 수준에 맞게 콘텐츠를 활용할 수 있는 장점이 있다. 본 논문에서 제안하는 방법을 이용하여 PC기반 플루트 연주 학습 소프트웨어를 구현함으로써 구현의 효율성을 보였으며 악기 초보자가 플루트 연주 학습에 편리하게 활용할 수 있는 가능성을 확인하였다.

DDC in DSpace: Integration of Multi-lingual Subject Access System in Institutional Digital Repositories

  • Roy, Bijan Kumar;Biswas, Subal Chandra;Mukhopadhyay, Parthasarathi
    • International Journal of Knowledge Content Development & Technology
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    • 제7권4호
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    • pp.71-84
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    • 2017
  • The paper discusses the nature of Knowledge Organization Systems (KOSs) and shows how these can support digital library users. It demonstrates processes related to integration of KOS like the Dewey Decimal Classification, $22^{nd}$ edition (DDC22) in DSpace software (http://www.dspace.org/) for organizing and retrieving (browsing and searching) scholarly objects. An attempt has been made to use the DDC22 available in Bengali language and highlights the required mechanisms for system-level integration. It may help a repository administrator to build an IDR (Institutional Digital Repository) integrated with SKOS-enabled multilingual subject access systems for supporting subject descriptors based indexing (DC.Subject metadata element), structured navigation (browsing) and efficient searching.

XML 응용시스템 개발을 위한 설계방안 (A Design Methodology for XML Applications)

  • 김경수;주경수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.39-42
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    • 2000
  • Extensible Markup Language(XML) is fast emerging as the dominant standard for representing data in the World Wide Web. Sophisticated query engines that allow users to effectively tap the data stored in XML documents will be crucial to exploiting the full power of XML. While there has been a great deal of activity recently proposing new semi-structured data models and query languages for this purpose, this paper explores the more conservative approach of using traditional relational database engines for processing XML documents conforming to Document Type Descriptors(DTDs). In this paper, we describe how to generate relational schemas from XML DTDs. The main issues that must be addressed inc]ode (a) dealing with the complexity of DTD element specifications (b) resolving the conflict between the two-level nature of relational schemas (table and attribute) vs. the arbitrary nesting of XML DTD schemas and (c) dealing with set-valued attributes and recursion. We now propose a set of transformations that can be used to "simplify" any arbitrary DTD without undermining the effectiveness of queries over documents conforming to that DTD.

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Alteration in Erythrocyte Deformability in Diabetes Mellitus

  • Shin, Se-Hyun;Singh, Megha
    • International Journal of Vascular Biomedical Engineering
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    • 제4권1호
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    • pp.17-26
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    • 2006
  • Diabetes mellitus (DM) is a metabolic disorder, characterized by varying or persistent hyperglycemia, which induces several changes in the erythrocyte membrane and its cytoplasm, leading to alteration in the deformability. Techniques applied to measure this are based on filtration of erythrocyte suspension through a membrane and to obtain diffraction pattern under sheared conditions. Ektacytometry requiring less quantity of blood with disposable flow chamber used to measure the deformability of erythrocytes obtained from patients with diabetes and also associated with nephropathy and retinopathy. A decreasing trend of deformability in these patients is observed. The shape parameter form factor, as determined by image processing procedure, increases with the increased of blood glucose levels and shows a pattern similar to filtration time of erythrocyte suspensions through cellulose membranes. Further work is suggested to detect micro-level changes in cell membrane in diabetic patients

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서비스로봇의 신뢰성 향상을 위한 OPRoS 기반 Fault-tolerance 기법 (OPRoS based Fault Tolerance Support for Reliability of Service Robots)

  • 안희준;이동수;안상철
    • 제어로봇시스템학회논문지
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    • 제16권6호
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    • pp.601-607
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    • 2010
  • For commercial success of emerging service robots, the fault tolerant technology for system reliability and human safety is crucial. Traditionally fault tolerance methods have been implemented in application level. However, from our studies on the common design patterns in fault tolerance, we argue that a framework-based approach provides many benefits in providing reliability for system development. To demonstrate the benefits, we build a framework-based fault tolerant engine for OPRoS (Open Platform for Robotic Services) standards. The fault manager in framework provides a set of fault tolerant measures of detection, isolation, and recovery. The system integrators choose the appropriate fault handling tools by declaring XML configuration descriptors, considering the constraints of components and operating environment. By building a fault tolerant navigation application from the non-faulttolerant components, we demonstrate the usability and benefits of the proposed framework-based approach.