• Title/Summary/Keyword: Model characteristic

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An Activity-Centric Quality Model of Software

  • Koh, Seokha
    • Journal of Information Technology Applications and Management
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    • 제26권2호
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    • pp.111-123
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    • 2019
  • In this paper, software activity, software activity instance, and the quality of the activity instance are defined as the 'activity which is performed on the software product by a person or a group of persons,' the 'distinctive and individual performance of software activity,' and the 'performer's evaluation on how good or bad his/her own activity instance is,' respectively. The representative values of the instance quality population associated with a product and its sub-population are defined as the (software) activity quality and activity quality characteristic of the product, respectively. The activity quality model in this paper classifies activity quality characteristics according to the classification hierarchy of software activity by the goal. In the model, a quality characteristic can have two types of sub-characteristics : Special sub-characteristic and component sub-characteristic, where the former is its super-characteristic too simultaneously and the latter is not its super-characteristic but a part of its super-characteristic. The activity quality model is parsimonious, coherent, and easy to understand and use. The activity quality model can serve as a corner stone on which a software quality body of knowledge, which constituted with a set of models parsimonious, coherent, and easy to understand and use and the theories explaining the cause-and-relationships among the models, can be built. The body of knowledge can be called the (grand) activity-centric quality model of software.

지형학적 분산을 고려한 특성유속이 순간단위도 형상에 미치는 영향 (The Impact of Characteristic Velocities Considering Geomorphological Dispersion on Shape of Instantaneous Unit Hydrograph)

  • 최용준;김주철;황만하
    • 한국수자원학회논문집
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    • 제43권4호
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    • pp.399-408
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    • 2010
  • 본 연구에서는 지형학적 분산을 고려한 특성유속에 따른 Nash 모형 매개변수의 민감도 분석을 실시하였다. 또한 이러한 특성유속의 변동에 따른 순간단위도의 형상의 변화를 수치실험을 통해 비교 분석하였다. 대상유역은 보청천 유역 중 본류에 위치하고 있는 4개의 소유역을 선정하였다. 각 대상유역에 대해 지리정보체계를 이용하여 지표면과 하천의 배수경로길이에 대한 평균과 분산을 산정하였다. 산정된 배수경로길이와 특성유속에 의한 Nash 모형 매개변수를 추정하였다. 추정된 매개변수에 의해 순간단위도를 유도하여 형상의 변화를 비교하였다. 이러한 연구를 통해 도출된 주요 결과는 다음과 같다. Nash 모형 매개변수는 지표면 특성유속에 민감하게 반응함을 알 수 있었다. 또한 순간단위도의 감수부의 형상과 첨두유량은 지표면 특성유속에 지배적인 영향을 받으며, 순간단위도의 상승부의 형상과 첨두시간은 하천 특성유속에 지배적인 영향을 받음을 알 수 있었다.

Investigation of the concentration characteristic of RCS during the boration process using a coupled model

  • Xiangyu Chi;Shengjie Li;Mingzhou Gu;Yaru Li;Xixi Zhu;Naihua Wang
    • Nuclear Engineering and Technology
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    • 제55권8호
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    • pp.2757-2772
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    • 2023
  • The fluid retention effect of the Volume Control Tank (VCT) leads to a long time delay in Reactor Coolant System (RCS) concentration during the boration process. A coupled model combining a lumped-parameter sub-model and a computational fluid dynamics sub-model is currently used to investigate the concentration dynamic characteristic of RCS during the boration process. This model is validated by comparison with experimental data, and the predicted results show excellent agreement with experimental data. We provide detailed fields in VCT and concentration variations of RCS to study the interaction between mixing in VCT and the transient responses of RCS. Moreover, the impacts of the inlet flow rate, inlet nozzle diameter, original concentration, and replenishing temperature of VCT on the RCS concentration characteristic are studied. The inlet flow rate and nozzle diameter of VCT remarkably affect the RCS concentration characteristic. Too-large or too-small inlet flow rates and nozzle diameters will lead to unacceptable long delays. In this work, the optimal inlet flow rate and nozzle diameter of VCT are 5 m3/h and 58.8 mm, respectively. Besides, the impacts of the original concentration and replenishing temperature of VCT are negligible under normal operating conditions.

Simulation of the Blood Pressure Estimation Using the Artery Compliance Model and Pulsation Waveform Model

  • Jeon, Ahyoung;Ro, Junghoon;Kim, Jaehyung;Baik, Seongwan;Jeon, Gyerok
    • 센서학회지
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    • 제22권1호
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    • pp.38-43
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    • 2013
  • In this study, the artery's compliance model and the pulsation waveform model was proposed to estimate blood pressure without applying HPF (High Pass Filter) on signal measured by the oscillometric method. The method proposed in the study considered two ways of estimating blood pressure. The first method of estimating blood pressure is by comparing and analyzing changes in pulsation waveform's dicrotic notch region during each cardiac period. The second method is by comparing and analyzing morphological changes in the pulsation waveform during each cardiac period, which occur in response to the change in pressure applied on the cuff. To implement these methods, we proposed the compliance model and the pulsation waveform model of the artery based on hemodynamic theory, and then conducted various simulations. The artery model presented in this study only took artery's compliance into account. Then, a pulsation waveform model was suggested, which uses characteristic changes in the pulsation waveform to estimate blood pressure. In addition, characteristic changes were observed in arterial volume by applying artery's pulsation waveform to the compliance model. The pulsation waveform model was suggested to estimate blood pressure using characteristic changes of the pulsation waveform in the arteries. This model was composed of the sum of sine waves and a Fourier's series in combination form up to 10th harmonics components of the sinusoidal waveform. Then characteristic of arterial volume change was observed by inputting pulsation waveform into the compliance model. The characteristic changes were also observed in the pulsation waveform by mapping the arterial volume change in accordance with applied cuff's pressure change to the pulsation waveform's change according to applied pressure changes by cuff. The systolic and diastolic blood pressures were estimated by applying positional change of pulsation waveform's dicrotic notch region.

전자 유압식 후륜 조향 장치의 응답 특성 개선에 관한 연구 (A Study on the Improvement of the Response Characteristic of the Electro-Hydraulic Rear Wheel Steering Gear)

  • 오인호;양경욱;이일영
    • 한국자동차공학회논문집
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    • 제5권6호
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    • pp.192-201
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    • 1997
  • The feedback control scheme of the pressure control system of the rear wheel steering gear which has relatively large volume and sprung load was built up in order to improve th response characteristic of the system. The control algorithm chosen was a feedback compensator joined by a feedfoward compensator and the model matching method was used in the process of control system design. The structures and properties of the reference models were inspected and the parameters of the controller were decided. The improvement of the response characteristic of the pressure control valve by means of the feedback control is affirmed. Particularly, when the order of the system model is higher than the 2nd order, the effectiveness of the feedback control on the improvement of the response characteristic of the valve is distinct. And the convenience of the model matching method is the process of control system design is confirmed as well.

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지능적 탐지 모델을 위한 악의적인 코드의 특징 정보 추출 및 분류 (Extraction and classification of characteristic information of malicious code for an intelligent detection model)

  • 황윤철
    • 산업융합연구
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    • 제20권5호
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    • pp.61-68
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    • 2022
  • 최근에는 발전하는 정보통신 기술을 이용하여 악의적인 코드들이 제작되고 있고 이를 기존 탐지 시스템으로는 탐지하는게 역부족인 실정이다. 이러한 지능적이고 악의적인 코드를 정확하고 효율성 있게 탐지하고 대응하기 위해서는 지능적 탐지 모델이 필요하다. 그리고, 탐지 성능을 최대로 높이기 위해서는 악의적인 코드의 주요 특징 정보 집합으로 훈련하는 것이 중요하다. 본 논문에서는 지능적 탐지 모델을 설계하고 모델 훈련에 필요한 데이터를 변환, 차원축소, 특징 선택 단계를 거쳐 주요 특징 정보 집합으로 생성하는 기법을 제안하였다. 그리고 이를 기반으로 악의적인 코드별로 주요 특징 정보를 분류하였다. 또한, 분류된 특징 정보들을 기반으로 변형되거나 새로 등장하는 악의적인 코드를 분석하고 탐지하는데 사용할 수 있는 공통 특징 정보를 도출하였다. 제안된 탐지 모델은 제한된 수의 특성 정보로 학습하여 악의적인 코드를 탐지하기에 탐지 시간과 대응이 빨리 이루어져 피해를 크게 줄일 수 있다. 그리고, 성능 평가 결과값은 학습 알고리즘에 따라 약간 차이가 나지만 악의적인 코드 대부분을 탐지할 수 있음을 평가로 알 수 있었다.

Tracking Control of Robotic Manipulators based on the All-Coefficient Adaptive Control Method

  • Lei Yong-Jun;Wu Hong-Xin
    • International Journal of Control, Automation, and Systems
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    • 제4권2호
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    • pp.139-145
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    • 2006
  • A multi-variable Golden-Section adaptive controller is proposed for the tracking control of robotic manipulators with unknown dynamics. With a small sample time, the unknown dynamics of the robotic manipulator are denoted equivalently by a characteristic model of a 2-order multivariable time-varying difference equation. The coefficients of the characteristic model change slowly with time and some of their valuable characteristic relationships emerge. Based on the characteristic model, an adaptive algorithm with a simple form for the control of robotic manipulators is presented, which combines the multi-variable Golden-Section adaptive control law with the weighted least squares estimation method. Moreover, a compensation neural network law is incorporated into the designed controller to reduce the influence of the coefficients estimation error on the control performance. The results of the simulations indicate that the developed control scheme is effective in robotic manipulator control.

주식수익률, 위험, 장부가치 / 시장가치 비율의 관계에 관한 연구 (A Study on the Relations among Stock Return, Risk, and Book-to-Market Ratio)

  • 감형규;신용재
    • 산업융합연구
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    • 제2권2호
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    • pp.127-147
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    • 2004
  • This paper examines the time-series relations among expected return, risk, and book-to-market(B/M) at the portfolio level. The time-series analysis is a natural alternative to cross-sectional regressions. An alternative feature of the time-series regressions is that they focus on changes in expected returns, not on average returns. Using the time-series analysis, we can directly test whether the three-factor model explains time-varying expected returns better than the characteristic-based model. These results should help distinguish between the risk and mispricing stories. We find that B/M is strongly associated with changes in risk, as measured by the Fama and French(1993) three-factor model. After controlling for changes in risk, B/M contains little additional information about expected returns. The evidence suggests that the three-factor model explains time-varying expected returns better than the characteristic-based model.

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준설매립토 및 화강풍화토의 흙-수분 특성곡선에 관한 연구 (A Study on Soil-Water Characteristic Curves of Reclaimed Soil and Weathered Granite Soil)

  • 신은철;이학주;김환준
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2002년도 봄 학술발표회 논문집
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    • pp.743-750
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    • 2002
  • Unsaturated soil has a possibility to induce a negative pore water pressure. Until now, saturated soil is mainly focused on the research of soil mechanics. Recently, soil mechanics is researched on two major parts such as saturated and unsaturated soil mechanics. Negative pore water pressure has a non-linear relationship with the water content changes. Soil-water characteristic curves of soil in Korea are not determined. There is no proper characteristic value such as air-entry value and residual water content. In this study, the characteristic curves of reclaimed soil, sand, and weathered granite soil were determined by laboratory tests. Air-entry value and residual water content were determined by fitting methods. Soil-water characteristic curves were estimated based on the particle-size distribution and compared with the laboratory test results. The results of soil-water characteristic curves estimation indicated that Fredlund and Wilson's model is excellent for sand and weathered granite soil. Arya and Paris's model is excellent for reclaimed soil.

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Effect of the Variable Packet Size on LRD Characteristic of the MMPP Traffic Model

  • 이강원;권병천
    • 한국통신학회논문지
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    • 제33권1B호
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    • pp.17-24
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    • 2008
  • The effect of the variable packet size on the LRD characteristic of the MMPP traffic model is investigated. When we generate packet traffic for the performance evaluation of IP packet network, MMPP model can be used to generate packet interarrival time. And a random length of packet size from a certain distribution can be assigned to each packet. However, there is a possibility that the variable packet size might change the LRD characteristic of the original MMPP model. In this study, we investigate this possibility. For this purpose the 'refined traffic' is defined, where packet arrival time is generated according to the MMPP model and a random packet length from a specific distribution is assigned to each generated packet. Hurst parameter of the refined traffic is estimated and compared with the original Hurst parameter, which is the input parameter of the MMPP model. We also investigate the effect of the packet size distribution on the queueing performance of the MMPP traffic model and the relationship between the Hurst parameter and queueing performance.