• Title/Summary/Keyword: distributed representation

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Color gamut mapping using fictive 3-D CIELAB equidistance sample (가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상)

  • 곽한봉;오현수;이철희;서봉우;안석출
    • Proceedings of the Korean Printing Society Conference
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    • 2000.12a
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    • pp.0.3-0
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    • 2000
  • Gamut mapping is a technique that acts on cross-media reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device-independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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The Development of wavelenth of light 7Color dispersion using GPU (GPU를 이용한 빛의 파장에 따른 7색 분산 연구)

  • Gwak, yong-sik;Ryoo, seung-taek
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.66-69
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    • 2009
  • Dispersion depending on the wavelength of light that is divided, composed of multiple wavelengths of light.Prism and the rainbow is a visible example of the principle of distributed phenomena. RGB 3 Color Dispersion is can't be expressed in detail. 7 kinds of colors of the Visible light area was distributed, this research to solve the problem of how to distribute these to RGB.The spectral representation for 3 Color Dispersion.

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Mobility Representation of Mobile Agents using Extended UML Interaction Diagrams (확장된 UML 상호작용 다이어그램을 이용한 이동 에이전트의 이동성 표현)

  • Yoo, Moon Sung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.1
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    • pp.11-18
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    • 2011
  • A mobile agent system is the most common software paradigm for distributed applications. A software development model to develop efficiently for these systems is needed. Unified Modeling Language (UML) is a widely used software development model to develop a system for Visualizing, Specifying, Constructing, Documenting. However, UML can not describe in explicit way the necessary mobility of the mobile agent-based software systems. In this paper, the interaction diagrams of UML (sequence diagrams and communication diagrams) are extended and used to express the mobility of the mobile agents in three ways. For a case study, we applied the extended diagrams to a distributed file searching using mobile agents, and showed these diagrams can describe the mobility very well.

Color gamut mapping using fictive 3-D CIELAB equidistance sample (가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상)

  • 오현수;곽한봉;이철희;서봉우;안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.19 no.2
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    • pp.58-67
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    • 2001
  • Gamut mapping is a technique that acts on cross-media color reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device- independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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Multi- Resolution MSS Image Fusion

  • Ghassemian, Hassan;Amidian, Asghar
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.648-650
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    • 2003
  • Efficient multi-resolution image fusion aims to take advantage of the high spectral resolution of Landsat TM images and high spatial resolution of SPOT panchromatic images simultaneously. This paper presents a multi-resolution data fusion scheme, based on multirate image representation. Motivated by analytical results obtained from high-resolution multispectral image data analysis: the energy packing the spectral features are distributed in the lower frequency bands, and the spatial features, edges, are distributed in the higher frequency bands. This allows to spatially enhancing the multispectral images, by adding the high-resolution spatial features to them, by a multirate filtering procedure. The proposed method is compared with some conventional methods. Results show it preserves more spectral features with less spatial distortion.

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Analysis of Distributed Airgap Magnetic Density for Induction Motor using Magnetic Equivalent Circuit (자기등가회로법에 의한 유도전동기의 공극자속밀도 분포해석)

  • Jeong, J.H.;Lee, E.W.;Sohn, H.K.;Koo, T.M.;Lim, S.S.;Kim, J.H.
    • Proceedings of the KIEE Conference
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    • 2001.10a
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    • pp.65-67
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    • 2001
  • In general, the results of finite element method(FEM) on the analysis of the electrical machines has known as high accuracy but required very long time to calculate the field distribution. Magnetic equivalent circuit(MEC) method can be computing times less than the finite element method and also it provides steady state and transient state simulation. In this paper, describes matrix representation of the winding magneto motive force(MMF) and carry out the distributed the airgap magnetic density takes into account the influence on the stator slots.

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Distributed Air Defense Simulation Model and its Applications (방공교전모델(DADSim) 개발 및 활용사례)

  • 최상영;김의환
    • Journal of the military operations research society of Korea
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    • v.27 no.2
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    • pp.134-148
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    • 2001
  • In this paper, air-defense simulation model, called "DADSim", will be introduced. DADSim(Distributed Air Defense Simulation Model) was developed by Modeling&Simulation Lab of K.N.D.U.(Korea National Defence Univ) Weapon Systems Department. This model is an analysis-purpose model in the engagement-level. DADSim can simulate not only the global air-defense or Korean Peninsula but also the local air-defense or a battle field. DADSim uses the DTED(digital terrain elevation data) LeveII it for the representation of peninsula terrain characteristics. The weapon systems cooperated in the model are low/medium-range missile systems such as HAWK, NIKE, SAM. DADSim was designed in the way of object-oriented development method, implemented by C++ language. The simulation view is an event-sequenced object-orientation. For the convenience of input, output analysis, GUI(Graphic User Interface) of menu, window, dialog box, etc. are provided to the user, For the execution of DADSim, Silicon Graphic IRIX 6.3 or high version is required. DADSim can be used for the effectiveness analysis of­defence systems. Some illustrative examples will be shown in this paper.

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Query Rewriting and Indexing Schemes for Distributed Systems based on the Semantic Web (시맨틱 웹 기반의 분산 시스템을 위한 질의 변환 및 인덱싱 기법)

  • Chae, Kwang-Ju;Kim, Youn-Hee;Lim, Hae-Chull
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.7
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    • pp.718-722
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    • 2008
  • Ontology plays an important role of the Semantic Web to describe meaning and reasoning of resources. Ontology has more rich expressive power through OWL that is a next standard representation language recommended by W3C. As the Semantic Web is widely known, an amount of information resources on the Web is growing rapidly and the related information resources are placed in distributed systems on the Web. So, for providing seamless services without the awareness of far distance, efficient management of the distributed information resources is required. Especially, sear ching fast for local repositories that include data related to user's queries is important to the performance of systems in the distributed environment. In this paper, first, we propose an index structure to search local repositories related to queries in the distributed Semantic Web. Second, we propose a query rewriting strategy to extend given user's query using various expression of OWL. Through the proposed index and query strategy, we can utilize various expressions of OWL and find local repositories related to all query patterns on the Semantic Web.

Distributed Video Compressive Sensing Reconstruction by Adaptive PCA Sparse Basis and Nonlocal Similarity

  • Wu, Minghu;Zhu, Xiuchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.8
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    • pp.2851-2865
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    • 2014
  • To improve the rate-distortion performance of distributed video compressive sensing (DVCS), the adaptive sparse basis and nonlocal similarity of video are proposed to jointly reconstruct the video signal in this paper. Due to the lack of motion information between frames and the appearance of some noises in the reference frames, the sparse dictionary, which is constructed using the examples directly extracted from the reference frames, has already not better obtained the sparse representation of the interpolated block. This paper proposes a method to construct the sparse dictionary. Firstly, the example-based data matrix is constructed by using the motion information between frames, and then the principle components analysis (PCA) is used to compute some significant principle components of data matrix. Finally, the sparse dictionary is constructed by these significant principle components. The merit of the proposed sparse dictionary is that it can not only adaptively change in terms of the spatial-temporal characteristics, but also has ability to suppress noises. Besides, considering that the sparse priors cannot preserve the edges and textures of video frames well, the nonlocal similarity regularization term has also been introduced into reconstruction model. Experimental results show that the proposed algorithm can improve the objective and subjective quality of video frame, and achieve the better rate-distortion performance of DVCS system at the cost of a certain computational complexity.

Sensor placement optimization in structural health monitoring using distributed monkey algorithm

  • Yi, Ting-Hua;Li, Hong-Nan;Zhang, Xu-Dong
    • Smart Structures and Systems
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    • v.15 no.1
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    • pp.191-207
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    • 2015
  • Proper placement of sensors plays a key role in construction and implementation of an effective structural health monitoring (SHM) system. This paper proposes a novel methodology called the distributed monkey algorithm (DMA) for the optimum design of SHM system sensor arrays. Different from the existing algorithms, the dual-structure coding method is adopted for the representation of design variables and the single large population is partitioned into subsets and each subpopulation searches the space in different directions separately, leading to quicker convergence and higher searching capability. After the personal areas of all subpopulations have been finished, the initial optimal solutions in every subpopulation are extracted and reordered into a new subpopulation, and the harmony search algorithm (HSA) is incorporated to find the final optimal solution. A computational case of a high-rise building has been implemented to demonstrate the effectiveness of the proposed method. Investigations have clearly suggested that the proposed DMA is simple in concept, few in parameters, easy in implementation, and could generate sensor configurations superior to other conventional algorithms both in terms of generating optimal solutions as well as faster convergence.