• Title/Summary/Keyword: bound function

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Study on the Relationship between Epidermal Barrier Function and Cornified Envelope (CE)-Bound Lipids

  • Hattori, Takao;Oyobikawa, Midori;Suzuki, Masami
    • Proceedings of the SCSK Conference
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    • 2003.09a
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    • pp.570-577
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    • 2003
  • The importance of cornified envelope (CE)-bound lipids to epidermal barrier function is increasingly being recognized. In the present study, we intentionally damaged the cornified layer of hairless mice by ultraviolet irradiation and sodium dodecyl sulfate (SDS) treatment, and assessed the changes in epidermal barrier function by measuring Trans Epidermal Water Loss (TEWL). We also measured changes in the amount of CE-bound lipids using thin layer chromatography (TLC). The results showed that both treatments increased TEWL and decreased CE-bound lipids (omega-hydroxy cerami de and omega-hydroxy acid). In addition, investigation of the chronological changes in TEWL revealed an inverse relationship between TEWL and CE-bound lipids, and a correlation between CE-bound lipids and epidermal barrier function. We then measured the amount of CE-bound lipids in the cheek and the medial side of the upper arm in humans. The results showed that because the cheek receives external stimulation on a daily basis, the amount of CE-bound lipids was significantly lower, while the level of TEWL was higher. These observations, together with those from the animal study, indicate that CE-bound lipids are related to epidermal barrier function.

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A Robust Control with The Bound Function of Neural Network Structure for Robot Manipulator

  • Chul, Ha-In;Chul, Han-Myung
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.113.1-113
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    • 2001
  • The robust position control with the bound function of neural network structure is proposed for uncertain robot manipulators. The neural network structure presents the bound function and does not need the concave property of the bound function, The robust approach is to solve this problem as uncertainties are included in a model and the controller can achieve the desired properties in spite of the imperfect modeling. Simulation is performed to validate this law for four-axis SCARA type robot manipulators.

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DEGREE BOUND FOR EVALUATION OF ALGEBRAIC FUNCTIONS

  • Choi, Sung-Woo
    • Journal of applied mathematics & informatics
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    • v.29 no.1_2
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    • pp.505-510
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    • 2011
  • We give a constructive proof that a (partial) evaluation of a multivariate algebraic function with algebraic numbers is again an algebraic function. Especially, we obtain a bound on the degree of an evaluation with the degrees of the original algebraic function and the algebraic numbers evaluated. Furthermore, we show that our bound is sharp with an example.

AN UPPER BOUND ON THE CHEEGER CONSTANT OF A DISTANCE-REGULAR GRAPH

  • Kim, Gil Chun;Lee, Yoonjin
    • Bulletin of the Korean Mathematical Society
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    • v.54 no.2
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    • pp.507-519
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    • 2017
  • We present an upper bound on the Cheeger constant of a distance-regular graph. Recently, the authors found an upper bound on the Cheeger constant of distance-regular graph under a certain restriction in their previous work. Our new bound in the current paper is much better than the previous bound, and it is a general bound with no restriction. We point out that our bound is explicitly computable by using the valencies and the intersection matrix of a distance-regular graph. As a major tool, we use the discrete Green's function, which is defined as the inverse of ${\beta}$-Laplacian for some positive real number ${\beta}$. We present some examples of distance-regular graphs, where we compute our upper bound on their Cheeger constants.

On the Cramer-Rao Bound for Estimating Parameters of Exponentially Decaying Function under Poisson Noise (Poisson 잡음 하에서의 지수 감소 함수 인자 추정시의 Cramer-Rao bound)

  • Seok, Ji-Yeong;Kim, Jeong-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.1
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    • pp.101-104
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    • 2013
  • We computed Cramer-Rao bound for estimating amplitude and decay parameters of exponentially decaying function under Poisson noise. Since Cramer-Rao bound is the lowest variance bound for any unbiased estimator, the computed Cramer-Rao bound can be used for evaluating the performance of estimators under Poisson noise. In addition, we show that the performance of maximum-likelihood estimator is close to the Cramer-Rao bound by simulations.

AN ERROR BOUND ANALYSIS FOR CUBIC SPLINE APPROXIMATION OF CONIC SECTION

  • Ahn, Young-Joon
    • Communications of the Korean Mathematical Society
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    • v.17 no.4
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    • pp.741-754
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    • 2002
  • In this paper we present an error bound for cubic spline approximation of conic section curve. We compare it to the error bound proposed by Floater [1]. The error estimating function proposed in this paper is sharper than Floater's at the mid-point of parameter, which means the overall error bound is sharper than Floater's if the estimating function has the maximum at the midpoint.

ON A GENERALIZED UPPER BOUND FOR THE EXPONENTIAL FUNCTION

  • Kim, Seon-Hong
    • Journal of the Chungcheong Mathematical Society
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    • v.22 no.1
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    • pp.7-10
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    • 2009
  • With the introduction of a new parameter $n{\geq}1$, Kim generalized an upper bound for the exponential function that implies the inequality between the arithmetic and geometric means. By a change of variable, this generalization is equivalent to exp $(\frac{n(x-1)}{n+x-1})\;\leq\;\frac{n-1+x^n}{n}$ for real ${n}\;{\geq}\;1$ and x > 0. In this paper, we show that this inequality is true for real x > 1 - n provided that n is an even integer.

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A Robust Control with a Neural Network Structure for Uncertain Robot Manipulator

  • Han, Myoung-Chul
    • Journal of Mechanical Science and Technology
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    • v.18 no.11
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    • pp.1916-1922
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    • 2004
  • A robust position control with the bound function of neural network structure is proposed for uncertain robot manipulators. The uncertain factors come from imperfect knowledge of system parameters, payload change, friction, external disturbance, and etc. Therefore, uncertainties are often nonlinear and time-varying. The neural network structure presents the bound function and does not need the concave property of the bound function. The robust approach is to solve this problem as uncertainties are included in a model and the controller can achieve the desired properties in spite of the imperfect modeling. Simulation is performed to validate this law for four-axis SCARA type robot manipulator.

A Function-characteristic Aware Thread-mapping Strategy for an SEDA-based Message Processor in Multi-core Environments (멀티코어 환경에서 SEDA 기반 메시지 처리기의 수행함수 특성을 고려한 쓰레드 매핑 기법)

  • Kang, Heeeun;Park, Sungyong;Lee, Younjeong;Jee, Seungbae
    • Journal of KIISE
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    • v.44 no.1
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    • pp.13-20
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    • 2017
  • A message processor is server software that receives various message formats from clients, creates the corresponding threads to process them, and lastly delivers the results to the destination. Considering that each function of an SEDA-based message processor has its own characteristics such as CPU-bound or IO-bound, this paper proposes a thread-mapping strategy called "FC-TM" (function-characteristic aware thread mapping) that schedules the threads to the cores based on the function characteristics in multi-core environments. This paper assumes that message-processor functions are static in the sense that they are pre-defined when the message processor is built; therefore, we profile each function in advance and map each thread to a core using the information in order to maximize the throughput. The benchmarking results show that the throughput increased by up to a maximum of 72 % compared with the previous studies when the ratio of the IO-bound functions to the CPU-bound functions exceeds a certain percentage.

An improved robust hybrid control for uncertain robot manipulators using the stiffness bound of environments (환경의 강성 경계를 이용한 불확실 로봇 시스템의 개선된 견실 하이브리드 제어)

  • 권택준;한명철;하인철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.259-262
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    • 2001
  • An improved robust hybrid control law is proposed. This law used the separated bounding function and the stiffness bound. It satisfied the performance though we don't know precise information of contact environments. It guarantees the practical stability in sense of Lyapunov. Simulation was performed to validate this law using a four-axis SCARA type robot manipulator.

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