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(A Formal Model of Component Variability Types and Scope) (컴포넌트 가변성 유형 및 Scope에 대한 정형적 모델)

  • 소동섭;신규석;김수동
    • Journal of KIISE:Software and Applications
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    • v.30 no.5_6
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    • pp.414-429
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    • 2003
  • Component-based development(CBD) has been generalized in industry to master the complexity and reduce the development cost and time. However, current CBD practice is developing the component which is dependent on single application[l][2]. Therefore component variability is emphasized to reuse the component in many family members in a domain[8]. However, components are developed for the reason of replaceability rather than the reusability which is the main purpose of the component due to the insufficiency of the study of component variability definition and type[3]. In this paper, we formally specify the component variability reflecting the characteristics of the component to increase the component reusability. We define the logic variability which was recognized as the existing component variability and we propose all types of variability existing in the component by suggesting three more variability types. And we propose the component variability scope which makes us estimate and verify the number of cases of the variability when we customize the component. We propose these component variability types and scope through formal specification. By applying these techniques in developing components, we can develop high quality components reusable in many family members.

Performance estimation for Software Reliability Growth Model that Use Plot of Failure Data (고장 데이터의 플롯을 이용한 소프트웨어 신뢰도 성장 모델의 성능평가)

  • Jung, Hye-Jung;Yang, Hae-Sool;Park, In-Soo
    • The KIPS Transactions:PartD
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    • v.10D no.5
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    • pp.829-836
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    • 2003
  • Software Reliability Growth Model that have been studied variously. But measurement of correct parameter of this model is not easy. Specially, estimation of correct model about failure data must be establish and estimation of parameter can consist exactly. To get correct testing, we calculate the normal score and describe the normal probability plot. Use the normal probability plot, we estimate the distribution for failure data. In this paper, we estimate the software reliability growth model for through the normal probability plot. In this research, we applies software reliability growth model through distribution characteristics of failure data. If we see plot, we determine the software reliability growth model, we can make sure superior in model's performance estimation.

Integration of Heterogeneous Protein Databases Based on RDF(S) Models (RDF(S) 모델에 기반한 다양한 형태의 단백질 데이타베이스 통합)

  • Lee, Kang-Pyo;Yoo, Sang-Won;Kim, Hyoung-Joo
    • Journal of KIISE:Databases
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    • v.35 no.2
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    • pp.132-142
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    • 2008
  • In biological domain, there exist a variety of protein analysis databases which have their own meaning toward the same target of protein. If we integrate these scattered heterogeneous data efficiently, we can obtain useful information which otherwise cannot be found from each original source. Reflecting the characteristics of biological data, each data source has its own syntax and semantics. If we describe these data through RDF(S) models, one of the Semantic Web standards, we can achieve not only syntactic but also semantic integration. In this paper, we propose a new concept of integration layer based on the RDF unified schema. As a conceptual model, we construct a unified schema focusing on the protein information; as a representational model, we propose a technique for the wrappers to aggregate necessary information from the relevant sources and dynamically generate RDF instances. Two example queries show that our integration layer succeeds in processing the integrated requests from users and displaying the appropriate results.

Scene Text Extraction in Natural Images Using Color Variance Feature (색 변화 특징을 이용한 자연이미지에서의 장면 텍스트 추출)

  • 송영자;최영우
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1835-1838
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    • 2003
  • Texts in natural images contain significant and detailed informations about the images. Thus, to extract those texts correctly, we suggest a text extraction method using color variance feature. Generally, the texts in images have color variations with the backgrounds. Thus, if we express those variations in 3 dimensional RGB color space, we can emphasize the text regions that can be hard to be captured with a method using intensity variations in the gray-level images. We can even make robust extraction results with the images contaminated by light variations. The color variations are measured by color variance in this paper. First, horizontal and vertical variance images are obtained independently, and we can fine that the text regions have high values of the variances in both directions. Then, the two images are logically ANDed to remove the non-text components with only one directional high variance. We have applied the proposed method to the multiple kinds of the natural images, and we confirmed that the proposed feature can help to find the text regions that can he missed with the following features - intensity variations in the gray-level images and/or color continuity in the color images.

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IMBE Model Based SNR Estimation of Continuous Speech Signals (연속음성신호에서 IMBE 모델을 이용한 SNR 추정 연구)

  • Park, Hyung-Woo;Bae, Myung-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.2
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    • pp.148-153
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    • 2010
  • In speech signal processing, speech signal corrupted by noise should be enhanced to improve quality. Usually noise estimation methods need flexibility for variable environment. Noise profile is renewed on silence region to avoid effects of speech properties. So we have to preprocess finding voice region before noise estimation. However, if received signal does not have silence region, we cannot apply that method. In this paper, we proposed SNR estimation method for continuous speech signal. A Speech signal consists of Voice and Unvoiced Band in The MBE excitation model. And the energy of speech signal is mostly distributed on voiced region, so we can estimate SNR by the ratio of voiced region energy to unvoiced. We use the IMBE vocoder for the Voice or Unvoice band of segmented speech signal. Continuously we calculate the segmented SNR using that information and the energy of each band. And we estimate the SNR of continuous speech signal.

GDP and MEI Influence on the Rates of Fee Change when Implementing SGR System in Korea (SGR제도 도입시 GDP와 MEI 변화가 환산지수에 미치는 영향)

  • 오동일
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.2
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    • pp.57-62
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    • 2003
  • In order to implement SGR in Korea, it is necessary to analyse the factors affecting the increase of Korea Medical Insurance Cost. GDP and MEI may substitute the diverse factors affecting the Medical Cost Uprise. In this article, the GDP and MEI influence on the rates of fee schedule is measured when we implement SGR System in Korea. The various cases are made to analyse the rates of fee change. In Korea, if we implement the SGR system successfully. we should make a considerate formula using GDP and MEI because the rate of change in GDP and MEI is much more bigger than that of U.S.

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A wavelet-based fast motion estimation (웨이블릿 기반의 고속 움직임 예측 기법)

  • 배진우;선동우;유지상
    • Journal of Broadcast Engineering
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    • v.8 no.3
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    • pp.297-305
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    • 2003
  • In this paper, we propose a wavelet based fast motion estimation algorithm for video sequence encoding with very low bit-rate. By using one of properties oi wavelet transform, multi-resolution analysis(MRA) property and spatial Interpolation of an image, we are able to reduce both prediction error and computational complexity at the same time. Especially, by defining a significant block(SB) based on the differential information of wavelet coefficients between successive frames, the proposed algorithm makes up a defect of multi-resolution motion estimation(MRME) algorithm of increasing the number of motion vectors. As experimental results. we can reduce the computational load up to 70% but also improve PSNR up to about 0.1 ∼ 1.2 dB comparing with the MRME algorithm.

Lowest Symmetrical and Antisymmetrical Natural Frequencies of Shallow Arches on Two-Parameter Elastic Foundations (두 개의 매개변수로 표현되는 탄성지반 위에 놓인 낮은 아치의 최저차 대칭 및 역대칭 고유진동수)

  • 오상진;서종원;이병구
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.15 no.2
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    • pp.367-377
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    • 2002
  • This paper deals with the free vibrations of shallow arches resting on elastic foundations. Foundations we assumed to follow the hypothesis proposed by Pasternak. The governing differential equation is derived for the in-plane free vibration of linearly elastic arches of uniform stiffness and constant mass per unit length. Two arch shapes with hinged-hinged and clamped-clamped end constraints we considered in analysis. The frequency equations (lowest symmetrical and antisymmetrical frequency equations) we obtained by Galerkin's method. The effects of arch rise, Winkler foundation parameter and shear foundation parameter on the lowest two natural frequencies are investigated. The effect of initial arch shapes on frequencies is also studied.

The number of games of Rock-Paper Scissors according to game rules (게임 룰에 따른 두 팀 간에 벌이는 가위바위보 게임 수 비교)

  • Cho, Daehyeon
    • The Korean Journal of Applied Statistics
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    • v.33 no.5
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    • pp.579-590
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    • 2020
  • We would use a coin or a game of Rock-Paper Scissors before the a main game to determine which team will begin first. We can use the game of Rock-Paper Scissors to choose one of two or one of many. There can be many rules in a game of Rock-Paper Scissors between two teams and two teams may consist of a different number of players. In this paper, we find the means and variances of the total number of games till the winning team is decided according to different game rules.