• 제목/요약/키워드: (c)-comparison function

검색결과 324건 처리시간 0.032초

STATISTICAL GAUSSIAN DISTRIBUTION FUNCTION AS A DISTANCE INDICATOR TO STELLAR GROUPS

  • Abdel-Rahman, H.I.;Issa, I.A.;Sharaf, M.A.;Nouh, M.I.;Bakry, A.;Osman, A.I.;Saad, A.S.;Kamal, F.Y.;Essam, Essam
    • 천문학회지
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    • 제42권4호
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    • pp.71-79
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    • 2009
  • In this paper, statistical distribution functions are developed for distance determination of stellar groups. This method depends on the assumption that absolute magnitudes and apparent magnitudes follow a Gaussian distribution function. Due to the limits of the integrands of the frequency function of apparent and absolute magnitudes, we introduce Case A, B, and C Gaussian distributions. The developed approaches have been implemented to determine distances to some clusters and stellar associations. The comparison with the distances derived by different authors reveals good agreement.

The Effect of Using Graphing Calculators on Students' Understanding Functions and Attitudes Towards Mathematics and Graphing Calculators

  • Kwon, Oh-Nam;Kim, Min-Kyeong
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제4권1호
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    • pp.1-22
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    • 2000
  • The purpose of this study was to investigate the effects of using graphing calculators on students' understanding of the linear and quadratic function concepts. The populators of this study are tenth graders at high school in Seoul, one class for the treatment group and another class for the comparison group, and experiment period is 14 weeks including two weeks for school regular exams.Function tests used in the study was proposed which described a conceptual knowledge of functions in terms of the following components: a) Conceptual understanding, b) Interpreting a function in terms of a verbal experission, c) Translating between different representations of functions, and d) Mathematical modeling a real-world situation using functions. Even though the group test means of the individual components of conceptual understanding, interpreting, translating, mathematical modeling did not differ significantly, there is evidence that the two groups differed in their performance on conceptual understanding. It was shown that students learned algebra using graphing calculators view graphs more globally. The attitude survey assessed students' attitudes and perceptions about the value of mathematics, the usefulness of graphs in mathematics, mathematical confidence, mathematics anxiety, and their feelings about calculators. The overall t-test was not statistically significant, but the students in the treatment group showed significantly different levels of anxiety toward mathematics.

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Lifetime Control을 이용한 IGBT의 스위칭 특성 개선 (Improvement on Switching Characteristics of IGBT by Means of Lifetime Control)

  • 이세규;정상구
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제49권3호
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    • pp.165-168
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    • 2000
  • Improvement on the switching characteristic of IGBT by means of the uniform and local lifetime control is studied numerically using two-dimensional simulator, MEDICI. In the case of uniform lifetime control, the on-state and switching characteristics are simulated as a function of lifetime, and compared with the experimental results reported, which allows a relationship between dose of electron irradiation and controlled lifetime. In the case of local lifetime control, simulations are carried out by varying the position, width, and lifetime of the locally controlled region, and the results are compared with the characteristics for the case of the uniform lifetime control. The turn-off time of the device with an optimized locally controlled region is found to decrease from about $4.5\mus$ to 0.11$mutextrm{s}$ while the forward voltage drop increases from 1.37V to 2.61V in comparison with that for the uniform lifetime control.

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Logic-based Fuzzy Neural Networks based on Fuzzy Granulation

  • Kwak, Keun-Chang;Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1510-1515
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    • 2005
  • This paper is concerned with a Logic-based Fuzzy Neural Networks (LFNN) with the aid of fuzzy granulation. As the underlying design tool guiding the development of the proposed LFNN, we concentrate on the context-based fuzzy clustering which builds information granules in the form of linguistic contexts as well as OR fuzzy neuron which is logic-driven processing unit realizing the composition operations of T-norm and S-norm. The design process comprises several main phases such as (a) defining context fuzzy sets in the output space, (b) completing context-based fuzzy clustering in each context, (c) aggregating OR fuzzy neuron into linguistic models, and (c) optimizing connections linking information granules and fuzzy neurons in the input and output spaces. The experimental examples are tested through two-dimensional nonlinear function. The obtained results reveal that the proposed model yields better performance in comparison with conventional linguistic model and other approaches.

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Fokker-plank 방정식의 해석을 통한 Langevine 경쟁학습의 동역학 분석 (Analysis of the fokker-plank equation for the dynamics of langevine cometitive learning neural network)

  • 석진욱;조성원
    • 전자공학회논문지C
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    • 제34C권7호
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    • pp.82-91
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    • 1997
  • In this paper, we analyze the dynamics of langevine competitive learning neural network based on its fokker-plank equation. From the viewpont of the stochastic differential equation (SDE), langevine competitive learning equation is one of langevine stochastic differential equation and has the diffusin equation on the topological space (.ohm., F, P) with probability measure. We derive the fokker-plank equation from the proposed algorithm and prove by introducing a infinitestimal operator for markov semigroups, that the weight vector in the particular simplex can converge to the globally optimal point under the condition of some convex or pseudo-convex performance measure function. Experimental resutls for pattern recognition of the remote sensing data indicate the superiority of langevine competitive learning neural network in comparison to the conventional competitive learning neural network.

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볼록 군집 신경 회로망을 이용한 분류 (Classification Using Convex Clustering Neural Network)

  • 김영준;박용진
    • 대한전자공학회논문지TE
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    • 제37권3호
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    • pp.114-122
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    • 2000
  • 본 논문에서는 기존의 Fuzzy C-Means, Nearest Neighborring Classification, FMMCNN, Fuzzy -ART등에서 사용하였던 정형에 근거한 분류에서 유기될 수 있던 판단 오류를 최소화하기 위해 단 한가지의 형태적 특징을 갖고 있는 정형에 의존하지 않고 분류를 수행하는 방법을 제안하고i파 한다. 이를 위해 본 논문에서는 주어진 학습 데이터로 학습하는 과정에서 볼록 다면체를 적응적으로 생성하고 다면체의 구조를 수정하는 퍼지 신경회로망을 설계하였다. 따라서, 본 방법은 순차적으로 입력되는 데이터를 분류하여 패턴 유형들을 생성하는 기능을 갖게된다. 본 방법의 유용성을 증명하기 위해, Hyperbox를 정형으로 하는 FMMCNN과의 다양한 시뮬레이션 비교를 수행하였다.

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파손된 탱크의 기름 유출량 산정을 위한 2차원 입자법 시뮬레이션 (Prediction of Oil Amount Leaked from Damaged Tank Using 2-dimensional Particle Simulation)

  • 남정우;황성철;박종천
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2011년 춘계학술대회논문집
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    • pp.278-285
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    • 2011
  • In the present study, the numerical prediction of the oil amount leaked from the hole of a damaged tank is investigated using the improved MPS (Moving Particle Semi-implicit) method, which was originally proposed by Koshizuka and Oka (1996) for incompressible flow. The governing equations, which consist of the continuity and Navier-Stokes equations, are solved by Lagrangian moving particles, and all terms expressed by differential operators should be replaced by the particle interaction models based on a Kernel function. The simulation results are validated though the comparison with the analytic solution based on Torricelli's equilibrium relation. Furthermore, a series of numerical simulations under the various conditions are performed in order to estimate more accurately the initial amount of leaked oil.

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타구치 로버스트 계획에서 응용모형의 개발 (Development of Application Models Based on the Robust Design)

  • 최성운
    • 대한안전경영과학회지
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    • 제13권1호
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    • pp.203-209
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    • 2011
  • This study develops three new models that are practically applicable to three stages of Taguchi's robust design, which includes system design, parameter design and tolerance design. In system design, the Multiple Loss Function Analysis(MLFA) and Overall Loss Index(OLI) which reflect upon weight of characteristics and importance of specification are developed. Moreover parameter design presents Process Capability Index(PCI), $C_{PUK}$ and $C_{PLK}$, in order to segregate Signal-To-Noise Ratio(SNR) into accuracy and precision for an evaluation of relative comparison. In addition, tolerance design presents the new model of allowance computation for assembled product which is primarily derived from safety margin(SM) considering functional limit and specification. The guideline of those three new models, which include systematic charts and applicable illustrations, offers convenience for practitioners in the field. Hence, the practical applications could be made with the steps of robust designs such as system design, parameter design and specification allowance design.

고지방식이 섭취 마우스에서 간 중성지방 축적의 시간에 따른 변화: 인슐린저항성 지표들과의 상관관계 분석 (Time Course Changes in Hepatic Fat Accumulation in High Fat Diet-fed C57BL/6 Mice: Comparison Analysis to the Markers of Systemic Insulin Resistance)

  • 배은주
    • 약학회지
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    • 제56권6호
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    • pp.364-365
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    • 2012
  • Liver is the major organ to regulate the systemic glucose homeostasis and insulin resistance. Excess energy intake leads to triglyceride accumulation in adipose tissue first and subsequent accumulation in liver, resulting in obesity and type 2 diabetes. The representative pathological animal model for obesity associated insulin resistance is a high fat diet (HFD) fed mice model. Given the essential role of liver fat accumulation in developing systemic insulin resistance in obesity, I measured the liver triglyceride contents in HFD fed mice as a function of time. As such, in this report, I show the cause and effect relationship with regard to time during a HFD feeding between a variety of factors that are related to systemic insulin resistance including glucose intolerance, plasma insulin level and inflammatory gene expression in liver and adipose tissue.

A Study on the Verification of Traffic Flow and Traffic Accident Cognitive Function for Road Traffic Situation Cognitive System

  • Am-suk, Oh
    • Journal of information and communication convergence engineering
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    • 제20권4호
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    • pp.273-279
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    • 2022
  • Owing to the need to establish a cooperative-intelligent transport system (C-ITS) environment in the transportation sector locally and abroad, various research and development efforts such as high-tech road infrastructure, connection technology between road components, and traffic information systems are currently underway. However, the current central control center-oriented information collection and provision service structure and the insufficient road infrastructure limit the realization of the C-ITS, which requires a diversity of traffic information, real-time data, advanced traffic safety management, and transportation convenience services. In this study, a network construction method based on the existing received signal strength indicator (RSSI) selected as a comparison target, and the experimental target and the proposed intelligent edge network compared and analyzed. The result of the analysis showed that the data transmission rate in the intelligent edge network was 97.48%, the data transmission time was 215 ms, and the recovery time of network failure was 49,983 ms.