• Title/Summary/Keyword: various function

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A Study on System Requirement Structure of Urban Transit System (도시철도시스템의 요구사항체계 구축에 관한 연구)

  • Lee Woo-Dong
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.157-161
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    • 2004
  • Urban transit is system that offer target Performance and function because various lower part system such as vehicles, signaling, power supply, rail track is consisted as complex. It is important first of all that describe correctly system requirement until configuration of system, design, manufacture, installation and test verification so that the complicated urban transit system is to act safety and reliable and to display target Performance and function properly. The system requirement assist the system developer to comprehensive the performance and function of system in basic design. Therefore, In this paper wishes to study way to analyze system of system requirement and apply to Urban transit.

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Estimation for the Power Function Distribution Based on Type- II Censored Samples

  • Kang, Suk-Bok;Jung, Won-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1335-1344
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    • 2008
  • The maximum likelihood method does not admit explicit solutions when the sample is multiply censored and progressive censored. So we shall propose some approximate maximum likelihood estimators (AMLEs) of the scale parameter for the power function distribution based on multiply Type-II censored samples and progressive Type-II censored samples when shape parameter is known. We compare the proposed estimators in the sense of the mean squared error (MSE) through Monte Carlo simulation for various censoring schemes.

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ON A CLASS OF ANALYTIC FUNCTION RELATED TO SCHWARZ LEMMA

  • Ornek, Bulent Nafi
    • The Pure and Applied Mathematics
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    • v.29 no.1
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    • pp.113-124
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    • 2022
  • In this paper, we plan to introduce the class of the analytic functions called 𝒫 (b) and to investigate the various properties of the functions belonging this class. The modulus of the second coefficient c2 in the expansion of f(z) = z+c2z2+… belonging to the given class will be estimated from above. Also, we estimate a modulus of the second angular derivative of f(z) function at the boundary point 𝛼 with f'(𝛼) = 1 - b, b ∈ ℂ, by taking into account their first nonzero two Maclaurin coefficients.

A Case Study on Improving Body Homeostasis Using Ortho-cellular Nutrition Therapy (OCNT) (세포교정영양요법(OCNT)을 이용한 신체의 항상성 개선 사례 연구)

  • Eunah Hong
    • CELLMED
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    • v.14 no.4
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    • pp.73.1-73.4
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    • 2024
  • Objective: Case study on improving body homeostasis by ortho-cellular nutrition therapy. Methods: A 48-year-old Korean man underwent OCNT due to symptoms of insomnia and decreased physical function due to extreme chronic stress. Results: After exposure to OCNT, fatigue, sleep quality, and brain fog symptoms improved, and overall physical performance improved, including liver function recovery. Conclusion: For people who suffer from symptoms of decreased physical function in various aspects due to extreme stress, applying OCNT can help alleviate symptoms.

Performance Improvement Method of Fully Connected Neural Network Using Combined Parametric Activation Functions (결합된 파라메트릭 활성함수를 이용한 완전연결신경망의 성능 향상)

  • Ko, Young Min;Li, Peng Hang;Ko, Sun Woo
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.1
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    • pp.1-10
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    • 2022
  • Deep neural networks are widely used to solve various problems. In a fully connected neural network, the nonlinear activation function is a function that nonlinearly transforms the input value and outputs it. The nonlinear activation function plays an important role in solving the nonlinear problem, and various nonlinear activation functions have been studied. In this study, we propose a combined parametric activation function that can improve the performance of a fully connected neural network. Combined parametric activation functions can be created by simply adding parametric activation functions. The parametric activation function is a function that can be optimized in the direction of minimizing the loss function by applying a parameter that converts the scale and location of the activation function according to the input data. By combining the parametric activation functions, more diverse nonlinear intervals can be created, and the parameters of the parametric activation functions can be optimized in the direction of minimizing the loss function. The performance of the combined parametric activation function was tested through the MNIST classification problem and the Fashion MNIST classification problem, and as a result, it was confirmed that it has better performance than the existing nonlinear activation function and parametric activation function.

FRACTIONAL DIFFERENTIATION OF THE PRODUCT OF APPELL FUNCTION F3 AND MULTIVARIABLE H-FUNCTIONS

  • Choi, Junesang;Daiya, Jitendra;Kumar, Dinesh;Saxena, Ram Kishore
    • Communications of the Korean Mathematical Society
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    • v.31 no.1
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    • pp.115-129
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    • 2016
  • Fractional calculus operators have been investigated by many authors during the last four decades due to their importance and usefulness in many branches of science, engineering, technology, earth sciences and so on. Saigo et al. [9] evaluated the fractional integrals of the product of Appell function of the third kernel $F_3$ and multivariable H-function. In this sequel, we aim at deriving the generalized fractional differentiation of the product of Appell function $F_3$ and multivariable H-function. Since the results derived here are of general character, several known and (presumably) new results for the various operators of fractional differentiation, for example, Riemann-Liouville, $Erd\acute{e}lyi$-Kober and Saigo operators, associated with multivariable H-function and Appell function $F_3$ are shown to be deduced as special cases of our findings.

A Study on the Maintenance Cost Elasticity of the Apartment Housing (공동주택의 관리비 증감특성 연구)

  • Lee, Kang-Hee;Chae, Chang-U;Park, Guen-Soo
    • Journal of the Korean housing association
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    • v.22 no.6
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    • pp.51-60
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    • 2011
  • The maintenance cost depends on various factors such as building volume, floor area, number of household and so on. The maintenance cost of the apartment housing is affected by the maintenance type, building physical factor, sociogeographic aspects. Among these, the maintenance characteristics is represented and made up by the total floor area and number of household which means main factor to provide the building scale roughly. In this paper, it aimed at modelling the estimation function of the maintenance cost with the total floor area and number of household and analyzing the elasticity of the two factors. Although items of maintenance cost are various in general cost, repair cost and so on, we classified these items into the 5 categories. 5 categories are a general cost, a facility maintenance cost, a utilization cost, insurance and sanitary cost. The estimation function used a power function and it has better goodness-offitness than any other estimation methods in statistics. A power function has a three curve types with concave and convex and linear style to the origin.

Effect of Dry Deposition on Water Quality -The comparison of several methodologies for estimating dry deposition flux (수질에 대한 대기건식침적의 영향 - 건식침적량 추정 방법론의 비교를 중심으로)

  • Cheong, Jang-Pyo
    • Journal of Korean Society of Water and Wastewater
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    • v.22 no.1
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    • pp.159-168
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    • 2008
  • A special field experiment has been carried out from March 2001 to June 2001 at the Changhowon in Kyunggi to investigate a better methodology for the estimation of dry deposition of pollutions applicable in Korea. In this study, dry deposition plate was used to measure of total and water soluble acidic mass fluxes, and CPRI(Coarse Particle Rotary Impactor), CI(Cascade Impactor) were also used to measure ambient concentrations in various particle size ranges. Sehmel-Hodgson model was used to estimate dry depostion velocity and Weibull probability distribution function was applied to get generalized particle size distribution for the size fractioned concentration data sampled by CPRI and CI. Atmospheric dry deposition fluxes of mass and ionic matters estimated by the various techniques(one-step, multi-step, equi-concentration, subdivision for only the coarse particle range, applying Weibull distribution function, etc.) were compared to flux data sampled by DDP. It was found out that the deposition fluxes estimation methodology calculated by the each particle size range devided by particle size distribution characteristics and the rapidly changed points of deposition velocity using Weibull probability distribution function was the most applicable.