• 제목/요약/키워드: Statistical Mechanism

검색결과 434건 처리시간 0.029초

통계적 기법을 이용한 경로 선택 알고리즘 (A Route Selection Algorithm using a Statistical Approach)

  • 김영민;안상현
    • 한국정보과학회논문지:정보통신
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    • 제29권1호
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    • pp.57-64
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    • 2002
  • 현재 사용중인 경로 선택 방법은 최단 경로 알고리즘을 이용하므로 망 자원을 효율적으로 이용하지 못하며 특정 경로로 트래픽이 집중될 경우 혼잡(congestion) 상황을 발생시킬 수 있다. 본 논문에서는 새롭게 요청되는 연결 설정 요구에 대해 요청된 대역폭을 충족시킬 수 있는 경로를 결정하는데 있어서 통계적 기법을 이용함으로써 망을 효율적으로 사용하며, 혼잡 상황을 줄일 수 있는 통계적 경로 선택(Statistical Route Selection; SRS) 알고리즘을 제안한다. MPLS의 등장으로 부하 균등화(load balancing)에 필요한 명시적인(explicit) LSP 설정을 할 수 있게 되었으며, MPLS의 LSP를 설정하기 위해 SRS 알고리즘을 이용할 수 있다. SRS 알고리즘은 경로 선택을 위해 링크들의 이용률을 구하고, 통계적인 기법을 사용하여 가중치를 결정하며, 그 가중치를 이용한 최단 경로를 구한다. 여기서 사용되는 통계적 기법은 링크들의 이용률의 평균과 분산을 이용하는 것으로, 이정보를 기반으로 링크의 가중치에 대해 분산을 작게 하는 방향으로 경로를 결정함으로써 부하 균등화 효과를 얻게 되어 혼잡 링크 수를 줄이고, 망 자원 이용률을 높인다. 실험을 통해 다른 경로 선택 알고리즘들에 비해 SRS 알고리즘이 망 자원을 효율적으로 이용하여 연결 설정 실패의 수와 혼잡 링크의 수를 줄이는 것을 보인다.

THE ACCELERATION AND TRANSPORT OF COSMIC RAYS WITH HELIOSPHERIC EXAMPLES

  • JOKIPII J. R.
    • 천문학회지
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    • 제37권5호
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    • pp.399-404
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    • 2004
  • Cosmic rays are ubiquitous in space, and are apparently present wherever the matter density is small enough that they are not removed by collisions with ambient particles. The essential similarity of their energy spectra in many different regions places significant general constraints on the mechanisms for their acceleration and confinement. Diffusive shock acceleration is at present the most successful acceleration mechanism proposed, and, together with transport in Kolmogorov turbulence, can account for the universal specta. In comparison to shock acceleration, statistical acceleration, invoked in many situations, has significant disadvantages. The basic physics of acceleration and transport are discussed, and examples shown where it apparently works very well. However, there are now well-established situations where diffusive shock acceleration cannot be the accelerator. This problem will be discussed and possible acceleration mechanism evaluated. Statistical acceleration in these places is possible. In addition, a new mechanism, called diffusive compression acceleration, will be discussed and shown to be an attractive candidate. It has similarities with both statistical acceleration and shock acceleration.

Flow Holding Time based Advanced Hybrid QoS Routing Link State Update in QoS Routing

  • Cho, Kang Hong
    • 한국컴퓨터정보학회논문지
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    • 제21권4호
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    • pp.17-24
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    • 2016
  • In this paper, we propose a AH LSU(Advanced Hybrid QoS Routing Link State Update) Algorithm that improves the performance of Hybrid LSU(Hybrid QoS Link State State Update) Algorithm with statistical information of flow holding time in network. AH LSU algorithm has had both advantages of LSU message control in periodic QoS routing LSU algorithm and QoS routing performance in adaptive LSU algorithm. It has the mechanism that calculate LSU message transmission priority using the flow of statistical request bandwidth and available bandwidth and include MLMR(Meaningless LSU Message Removal) mechanism. MLMR mechanism can remove the meaningless LSU message generating repeatedly in short time. We have evaluated the performance of the MLMR mechanism, the proposed algorithm and the existing algorithms on MCI simulation network. We use the performance metric as the QoS routing blocking rate and the mean update rate per link, it thus appears that we have verified the performance of this algorithm.

On statistical Computing via EM Algorithm in Logistic Linear Models Involving Non-ignorable Missing data

  • Jun, Yu-Na;Qian, Guoqi;Park, Jeong-Soo
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2005년도 추계 학술발표회 논문집
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    • pp.181-186
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    • 2005
  • Many data sets obtained from surveys or medical trials often include missing observations. When these data sets are analyzed, it is general to use only complete cases. However, it is possible to have big biases or involve inefficiency. In this paper, we consider a method for estimating parameters in logistic linear models involving non-ignorable missing data mechanism. A binomial response and normal exploratory model for the missing data are used. We fit the model using the EM algorithm. The E-step is derived by Metropolis-hastings algorithm to generate a sample for missing data and Monte-carlo technique, and the M-step is by Newton-Raphson to maximize likelihood function. Asymptotic variances of the MLE's are derived and the standard error and estimates of parameters are compared.

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Experimental and statistical investigation of torque coefficient in optimized surface piercing propeller

  • Masoud Zarezadeh;Nowrouz Mohammad Nouri;Reza Madoliat
    • Ocean Systems Engineering
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    • 제14권1호
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    • pp.53-72
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    • 2024
  • The interaction of the blade of surface-piercing propellers (SPPs) with the water/air surface is a physical phenomenon that is difficult to model mathematically, so that such propellers are usually designed using empirical approaches. In this paper, a newly developed mechanism for measuring the torque of SPPs in an open water circuit is presented. The mechanism includes a single-component load cell and a deformable torque sensor to detect the forces exerted on the propeller. Deformations in the sensor elements lead to changes in the strain gauge resistance, which are converted into voltage using a Wheatstone bridge. The amplified signal is then recorded by a 16-channel data recording system. The mechanism is calibrated using a 6-DoF calibration system and a Box-Behnken design, achieving 99% accuracy through multivariate regression and ANOVA. Finally, the results of performance tests on a 4-blade propeller were presented in the form of changes in the torque coefficient as a function of feed rate. The results show that the new mechanism is 8% more accurate than conventional empirical methods.

A Comparative Study of Microarray Data with Survival Times Based on Several Missing Mechanism

  • Kim Jee-Yun;Hwang Jin-Soo;Kim Seong-Sun
    • Communications for Statistical Applications and Methods
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    • 제13권1호
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    • pp.101-111
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    • 2006
  • One of the most widely used method of handling missingness in microarray data is the kNN(k Nearest Neighborhood) method. Recently Li and Gui (2004) suggested, so called PCR(Partial Cox Regression) method which deals with censored survival times and microarray data efficiently via kNN imputation method. In this article, we try to show that the way to treat missingness eventually affects the further statistical analysis.

Study on the Embedded SPC System Bused on LAN

  • Yin, Jianjun;Yu, Zhonghua;Wu, Zhaotong
    • International Journal of Quality Innovation
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    • 제4권1호
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    • pp.205-212
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    • 2003
  • Statistical Process Control (SPC) is recognized as one of the most important tool of quality control (QC), and is one research focus in order to implement SPC quickly and effectively using computer technology and network environments. This paper proposes the principle and topology of embedded SPC based on the Internet/lntranet, emphatically discusses the embedded data sampling block, embedded network interface and SPC strategy. An example of application is given.

북한 산림황폐지 복구를 위한 REDD 메커니즘 사전 검토 (A Preliminary Review of REDD Mechanism for Rehabilitating Forest Degradation of North Korea)

  • 배재수
    • 한국산림과학회지
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    • 제102권4호
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    • pp.491-498
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    • 2013
  • 북한 산림황폐화를 방지하기 위한 남북한 협력 수단으로 REDD 메커니즘의 적용 가능성을 사전 검토하였다. 북한은 기후변화협약이 국가 단위의 REDD+ 메커니즘의 이행 조건으로 요구한 REDD+ 국가 전략 수립과 산림모니터링 시스템 등을 구비하지 못하였다. 또한 북한은 REDD 메커니즘을 적용하기 위한 토대인 산림자원 통계의 신뢰성 역시 부족하였다. 인공위성 영상자료를 활용하여 추정한 산림면적 자료를 제외한 대부분의 산림자원 통계는 신뢰할만한 산림조사 결과를 바탕으로 하지 않고 단순한 가정을 기초로 추정된 것이다. 이러한 검토 결과는 북한이 산림황폐지 복구 수단으로 REDD 메커니즘을 당장 적용할 수 없다는 것을 보여준다. 이를 바탕으로 향후 REDD 메커니즘을 북한에 적용하기 위한 연구 주제와 남북한 산림부문의 협력 의제를 제안하였다. (1) 최소한 2000년 이후 북한지역의 토지이용변화 탐지, 탄소축적변화 추정 및 산림전용 산림황폐화의 원인 구명 연구가 필요하다. (2) 남북한의 REDD+ 협력은 북한의 'REDD+ 국가 전략 수립' 및 '국가산림조사 체계 구축' 부문에 초점을 맞추어야 한다.

An advanced single-particle model for C3S hydration - validating the statistical independence of model parameters

  • Biernacki, Joseph J.;Gottapu, Manohar
    • Computers and Concrete
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    • 제15권6호
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    • pp.989-999
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    • 2015
  • An advanced continuum-based multi-physical single particle model was recently introduce for the hydration of tricalcium silicate ($C_3S$). In this model, the dissolution and the precipitation events are modeled as two different yet simultaneous chemical reactions. Product precipitation involves a nucleation and growth mechanism wherein nucleation is assumed to happen only at the surface of the unreacted core and product growth is characterized via a two-step densification mechanism having rapid growth of a low density initial product followed by slow densification. Although this modeling strategy has been shown to nicely mimic all stages of $C_3S$ hydration - dissolution, dormancy (induction), the onset of rapid hydration, the transition to slow hydration and prolonged reaction - the major criticism is that many adjustable parameters are required. If formulated correctly, however, the model parameters are shown here to be statistically independent and significant.

SF(sub)6-$N_2$혼합가스중에 뇌임펄스전압에 의해 형성된 불평등전장에서의 전구방전현상 (Predischarge Phenomena in Nonuniform Fields Caused by Lightning Impulse Voltages in SF(sub)6-$N_2$Mixtures)

  • 이복희;이경옥;백승권
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제50권6호
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    • pp.288-295
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    • 2001
  • Predischarges in nonuniform electric field stressed by lightning impulse voltagesin SF(sub)6-$N_2$mixtures are initiated by streamer coronas. Due to field ehnancement at a protrusion point of electrodes new ionization processes occur and a precursor, which leads to a first leader, is created. The leader proceeds step by step to the opposite electrode and the final jump bridges the test gap. It was found that the predischarge is propagated with a leader mechanism of stepwise expansion from the predischarge current waveforms measured by a shunt. The predischarge current is closely related to the amplitude and polarity of applied voltages, the gas pressure and the gap geometry. The time intervals between step leaders for the positive and negative polarities were inversely proportional to V.P$^2$. When the gas pressure increases in the positive polarity, statistical time lag to statistical time lag to streamer corona inception increase slightly, but the formative time lag to flashover is significantly decreased.

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