• Title/Summary/Keyword: Decreasing function

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A Comparative Study on Software Reliability Model for NHPP Intensity Function Following a Decreasing Pattern (강도함수가 감소패턴을 따르는 NHPP 소프트웨어 신뢰모형에 관한 비교 연구)

  • Kim, Hee Cheul;Kim, Jong Buam;Moon, Song Chul
    • Journal of Information Technology Applications and Management
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    • v.23 no.4
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    • pp.117-125
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    • 2016
  • Software reliability in the software development process is an important issue. In infinite failure non-homogeneous Poisson process software reliability models, the failure occurrence rates per fault. can be presented constant, monotonic increasing or monotonic decreasing pattern. In this paper, the reliability software cost model considering decreasing intensity function was studied in the software product testing process. The decreasing intensity function that can be widely used in the field of reliability using power law process, log-linear processes and Musal-Okumoto process were studied and the parameter estimation method was used for maximum likelihood estimation. In this paper, from the software model analysis, we was compared by applying a software failure interval failure data considering the decreasing intensity function The decreasing intensity function model is also efficient in terms of reliability in the arena of the conservative model can be used as an alternating model can be established. From this paper, the software developers have to consider life distribution by preceding information of the software to classify failure modes which can be gifted to support.

Robust EOQ Models with Decreasing Cost Functions (감소하는 비용함수를 가진 Robust EOQ 모형)

  • Lim, Sung-Mook
    • Journal of the Korean Operations Research and Management Science Society
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    • v.32 no.2
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    • pp.99-107
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    • 2007
  • We consider (worst-case) robust optimization versions of the Economic Order Quantity (EOQ) model with decreasing cost functions. Two variants of the EOQ model are discussed, in which the purchasing costs are decreasing power functions in either the order quantity or demand rate. We develop the corresponding worst-case robust optimization models of the two variants, where the parameters in the purchasing cost function of each model are uncertain but known to lie in an ellipsoid. For the robust EOQ model with the purchasing cost being a decreasing function of the demand rate, we derive the analytical optimal solution. For the robust EOQ model with the purchasing cost being a decreasing function of the order quantity, we prove that it is a convex optimization problem, and thus lends itself to efficient numerical algorithms.

Adaptive Estimation of Monotone Functions

  • Kang, Yung-Gyung
    • Journal of the Korean Statistical Society
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    • v.27 no.4
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    • pp.485-494
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    • 1998
  • In the white noise model we construct an adaptive estimate for f(0) for a decreasing function f. We also show that the maximum mean square error of this estimate attains the same rate as the minimax risk simultaneously over a range of Lipschitz classes of order less than or equal to one.

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ON GROWTH PROPERTIES OF TRANSCENDENTAL MEROMORPHIC SOLUTIONS OF LINEAR DIFFERENTIAL EQUATIONS WITH ENTIRE COEFFICIENTS OF HIGHER ORDER

  • Biswas, Nityagopal;Datta, Sanjib Kumar;Tamang, Samten
    • Communications of the Korean Mathematical Society
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    • v.34 no.4
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    • pp.1245-1259
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    • 2019
  • In the paper, we study the growth properties of meromorphic solutions of higher order linear differential equations with entire coefficients of [p, q] - ${\varphi}$ order, ${\varphi}$ being a non-decreasing unbounded function and establish some new results which are improvement and extension of some previous results due to Hamani-Belaidi, He-Zheng-Hu and others.

Effect on Promoting Gastrointestinal Function and Inhibiting of Decreasing Body Temperature of Ginger Extracts(Zingiber Officinale) (생강(生薑) 추출물의 위장관 기능개선 및 체온저하 억제효과에 대한 실험적 연구)

  • Kim, Nam-Seok;Jeong, Il-Kook;Lee, Chang-Hyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.24 no.6
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    • pp.996-1003
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    • 2010
  • This study was performed to investigate the effect of promoting gastrointestinal function and inhibiting of decreasing body temperature of ginger extract(Zingiber officinale) in rats. In order to elucidate the gastrointestinal function and inhibiting effect of body temperature of native ginger and improved ginger, water extracts of ginger were orally administrated into rats. The results are as follows: The gastrointestinal transit time was significantly decreased in native ginger(7.66hrs) and improved ginger(7.72hrs) extract administrated groups compare to control group(8.44hrs). The mean red faecal weight was increased in native ginger(30.6%) and improved ginger(31.1%) extract administrated groups compare to control group(24.9%) for 24hrs. Inhibiting effect of decreasing body temperature induced by serotonin was increased in native ginger($1.116^{\circ}C$) and improved ginger($1.416^{\circ}C$) extract administrated groups compare to positive control group($0.384^{\circ}C$) during 40 minutes. Gastrin and CGRP immunoreactive density was more strongly expressed in native ginger and improved ginger extract administrated groups compare to control group. Serotonin immunoreactive density was more weakly expressed in native ginger and improved ginger extract administrated groups compare to control group. These results suggest that ginger extracts may enhance physiological activity such as gastrointestinal motility, protection of mucosa and gastric acid secretion in gastrointestinal tracts, and inhibits decreasing body temperature

Signal Detection Based on a Decreasing Exponential Function in Alpha-Stable Distributed Noise

  • Luo, Jinjun;Wang, Shilian;Zhang, Eryang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.269-286
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    • 2018
  • Signal detection in symmetric alpha-stable ($S{\alpha}S$) distributed noise is a challenging problem. This paper proposes a detector based on a decreasing exponential function (DEF). The DEF detector can effectively suppress the impulsive noise and achieve good performance in the presence of $S{\alpha}S$ noise. The analytical expressions of the detection and false alarm probabilities of the DEF detector are derived, and the parameter optimization for the detector is discussed. A performance analysis shows that the DEF detector has much lower computational complexity than the Gaussian kernelized energy detector (GKED), and it performs better than the latter in $S{\alpha}S$ noise with small characteristic exponent values. In addition, the DEF detector outperforms the fractional lower order moment (FLOM)-based detector in $S{\alpha}S$ noise for most characteristic exponent values with the same order of magnitude of computational complexity.

A Study on Travel Cost Function of Transit Assignment Model (대중교통 통행배정모형의 통행비용함수 분석)

  • Kim, Kyoung Tae;Lee, Suk Kwon;Kwon, Yong Seok
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1902-1907
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    • 2007
  • This paper suggests improvements in travel cost function of transit assignment model by analysing existing model. Two types of travel cost function are widely used for congested public networks. The one is used for strictly restricting public transport capacity. Another is non-decreasing function such as BPR function. In this paper, we analyse two types of travel cost function in case of intercity rail. The characteristics of intercity rail are different from those of public transit in urban area. Therefore travel cost function must be differently applied in each case.

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A Robust Joint Optimal Pricing and Lot-Sizing Model

  • Lim, Sungmook
    • Management Science and Financial Engineering
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    • v.18 no.2
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    • pp.23-27
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    • 2012
  • The problem of jointly determining a robust optimal bundle of price and order quantity for a retailer in a single-retailer, single supplier, single-product supply chain is considered. Demand is modeled as a decreasing power function of product price, and unit purchasing cost is modeled as a decreasing power function of order quantity and demand. Parameters defining the two power functions are uncertain but their possible values are characterized by ellipsoids. We extend a previous study in two ways; the purchasing cost function is generalized to take into account the economies of scale realized by higher product demand in addition to larger order quantity, and an exact transformation into an equivalent convex optimization program is developed instead of a geometric programming approximation scheme proposed in the previous study.