• Title/Summary/Keyword: 경로예측모델

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Stochastic Glitch Estimation and Path Balancing for Statistical Optimization (통계적 최적화를 위한 확률적 글리치 예측 및 경로 균등화 방법)

  • Shin Ho-Soon;Kim Ju-Ho;Lee Hyung-Woo
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.43 no.8 s.350
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    • pp.35-43
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    • 2006
  • In the paper, we propose a new method for power optimization that uses path balancing based on stochastic estimation of glitch in Statistical Static Timing Analysis (SSTA). The proposed method estimates the probability of glitch occurrence using tightness probability of each node in timing graph. In addition, we propose efficient gate sizing technique for glitch reduction using accurate calculation of sizing effect in delay considering probability of glitch occurrence. The efficiency of proposed method has been verified on ISCAS85 benchmark circuits with $0.16{\mu}m$ model parameters. Experimental results show up to 8.6% of accuracy improvement in glitch estimation and 9.5% of optimization improvement.

Constitutive Equation for Clay in Overconsolidation State and Under Cyclic Loading (과압밀상태 및 반복하중을 받는 점토지반에 대한 구성모델)

  • 이승래;김주용
    • Geotechnical Engineering
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    • v.10 no.1
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    • pp.7-18
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    • 1994
  • A new model for describing the behavior of clay under monotonic and cyclic loading is proposed. This model uses the hyperbolic representation for the stress -strain relationship in overconsolidated state and it describes undrained effective stress path on the basis of the critical state theory. The developed constitutive model by using an energy dissipation equation can describe the behavior of clay in heavily overconsolidated state as u.ell as lightly overconsolidated state under monotonic loading. In order to extend the model for the behavior of clay under cyclic loading, a shift function of undrained stress spacing ratio is introduced in the constitutive model developed for monotonlc loading. A single additional parameter is required to represent the cyclic effect and it can be reasonably deter mined from the test results. The measured behavior in undrained cyclic triaxial tests has been easily and precisely predicted by the newly developed constitutive model.

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Empirical Propagation Path Loss Model for ATC Telecommunication in the Concourse Environment (콘코스 환경에서 항공 정보통신의 실험적인 전파 경로 모델에 관한 연구)

  • Kim, Kyung-Tae;Park, Hyo-Dal
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.9
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    • pp.765-772
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    • 2013
  • In this paper, we studied the path loss model of Air Traffic Control(ATC) telecommunication radio channel at the Incheon International Airport(IIA) concourse area. We measured wave propagation characteristics on the two frequencies among VHF/UHF channel bands. The transmitting site radiated the Continuous Wave(CW). The propagation measurement was taken using the moving vehicle equipped with receiver and antenna. The transmitting power, frequency, and antenna height are the same as the current operating condition. The path loss exponent and intercept parameters were extracted by the basic path loss model and hata model. The path loss exponents at Concourse area were 3.1/3.13 and 3.01/3.38 respectively in 128.2MHz and 269.1MHz. The deviation of prediction error is 2.77/3.17 and 4.01/3.66. The new path loss equation at the Concourse area was also developed using the derived path loss parameters. The new path loss model was compared with other models. This result will be helpful for the ATC site selection and service quality evaluation.

Robust Signal Transition Density Estimation by Considering Reconvergent Path (재수렴성 경로를 고려한 견실한 신호 전이 밀도 예측)

  • Kim, Dong-Ho;U, Jong-Jeong
    • The KIPS Transactions:PartA
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    • v.9A no.1
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    • pp.75-82
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    • 2002
  • A robust signal transition density propagation method for a zero delay model is presented to obtain the signal transition density for estimating the power consumption. The power estimation for the zero delay model is a proper criteria for the lower boundary of power consumption. Since the input characteristics are generally unknown at design stage, robust estimation for wide range input characteristics is very important for the power consumption. In this paper, a conventional transition estimation method will be explored. And this exploration will be analyzed with the input/output signal transition behavior and used to propose the robust signal transition density propagation for the power estimation. In order to apply to practical circuits, the reconvergent path, which is crucial to affect the exactness of the power estimation, will be studied and an algorithm to take the reconvergent path into consideration will be presented. In experiment, the proposed methodology shows better robustness, comparable accuracy and elapsed time compared to the conventional methods.

Development of an Investigation Model for Multi-path Propagation Environment (다중경로 전파환경 분석 모델 개발)

  • Chae, Gyoo-Soo;Lim, Joong-Soo;Kim, Min-Nyun
    • Proceedings of the KAIS Fall Conference
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    • 2008.05a
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    • pp.258-260
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    • 2008
  • 본 논문에서 다중경로 전파환경에서 전파특성을 연구하였다. 목표지점에서 전계의 세기는 직접파와 지면 반사파의 합으로 구성된다. 이 논문에서는 지면의 반사를 고려하여 목표물 근처 공간의 3차원 전계분포를 계산하는 프로그램을 개발하였다. 실제 목표물의 궤적에 따라 목표물의 수신기에서의 신호세기를 예측하는 3차원 모델을 개발 하였다.

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Two-Dimensional Model Analysis for Extended Finite Element Method(XFEM) Verification of General Purpose Finite Element Analysis Program (범용유한요소해석 프로그램의 확장유한요소법 성능 검증을 위한 2차원 모델 해석)

  • Lee, Young Hwan;Kim, Donghwan;Park, Jaegyun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.4
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    • pp.199-206
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    • 2018
  • In this study, numerical analysis is applied to a two - dimensional model for verifying the general finite element program, Abaqus' s extended finite element method(XFEM). The cohesive element model used in the existing research has a limitation in simulating the actual crack because of the disadvantage that the crack path should be predicted and the element should be inserted. For this reason, the extended finite element method(XFEM), which predicts the path of cracks based on the directionality and specificity of stress, is emerging as a new solution in crack analysis. The validity of the XFEM application was confirmed by comparing the cohesive element analysis with the XFEM analysis by applying the crack path to the self - evident two - dimensional model. Numerical analysis confirms stress distribution and stress specificity immediately before crack initiation and compares it with actual crack initiation path. Based on this study, it is expected that cracks can be simulated by performing actual crack propagation analysis of complex models.

Basic Experimental Study on the Characteristics of Way Selection for the Development of Evacuation Simulation Model on board a Ship (선내 피난모델 개발을 위한 피난경로 선택특성에 관한 기초실험 연구)

  • Hwang, Kwang-Il;Sim, Young-Hoon
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.29-35
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    • 2015
  • As the numbers of users of domestic passenger ships increased up to 14.5 millions at 2012, the numbers of ships accidents also increased as 2 times than ever. It will be very important to develop technologies related with safety design for onboard passengers and disclose the potential problems. This study performed consciousness survey on ordinary peoples' way finding who have not got any regular anti-disaster training, to develop evacuation models for evacuation feasibility studies. Followings are the results answered by 83 participants for 33 way finding questions. Respondents selected right ways more than 6~18% for 2 ways like T type, U type, Y type passages. But when there are some walkers and/or runners, respondents preferred to select the way where walkers or runners are. And more over the ratio of the ways that runners are on is comparatively higher than walkers. On 'ㅏ'type, 'ㅓ'type and 3 way type passages, even though the walkers and/or runners are affected to answerers, straight way were most preferred. And it is clear that peoples like bright passages. On the other hands, peoples responded as they like right, downward and near stairs more than left, upward and far stairs, respectively. and very few selected escalator and elevator for as evacuation stairs.

An Empircal Model of Effective Path Length for Rain Attenuation Prediction (강우감쇠 유효경로 길이 예측을 위한 경험 모델)

  • 이주환;최용석;박동철
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.11 no.5
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    • pp.813-821
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    • 2000
  • The engineering of satellite communication systems at frequencies above 10GHz requires a method for estimating rain-caused outage probabilities on the earth-satellite path. A procedure for predicting a rain attenuation distribution from a point rainfall rate distribution is, therefore, needed. In order to predict rain attenuation on the satellite link, several prediction models such as ITU-R, Global, SAM, DAH model, have been developed and used at a particular propagation condition, they may not be appropriate to a propagation condition in Korean territory. In this paper, a new rain attenuation prediction method appropriate to a propagation condition in Korea is introduced. Based on the results from ETRI measurements, a new method has been derived for an empirical approach with an identification on the horizontal correction factor as in current ITU-R method, and the vertical correction factor has been suggested with decreasing power law as a function of rainfall rate. This proposed model uses the entire rainfall rate distribution as input to the model, while the ITU-R and DAH model approaches only use a single 0.01% annual rainfall rate and assume that the attenuation at other probability levels can be determined from that single point distribution. This new model was compared with several world-wide prediction models. Based on the analysis, we can easily know the importance of the model choice to predict rain attenuation for a particular location in the radio communication system design.

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Development of Highway Traffic Information Prediction Models Using the Stacking Ensemble Technique Based on Cross-validation (스태킹 앙상블 기법을 활용한 고속도로 교통정보 예측모델 개발 및 교차검증에 따른 성능 비교)

  • Yoseph Lee;Seok Jin Oh;Yejin Kim;Sung-ho Park;Ilsoo Yun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.1-16
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    • 2023
  • Accurate traffic information prediction is considered to be one of the most important aspects of intelligent transport systems(ITS), as it can be used to guide users of transportation facilities to avoid congested routes. Various deep learning models have been developed for accurate traffic prediction. Recently, ensemble techniques have been utilized to combine the strengths and weaknesses of various models in various ways to improve prediction accuracy and stability. Therefore, in this study, we developed and evaluated a traffic information prediction model using various deep learning models, and evaluated the performance of the developed deep learning models as a stacking ensemble. The individual models showed error rates within 10% for traffic volume prediction and 3% for speed prediction. The ensemble model showed higher accuracy compared to other models when no cross-validation was performed, and when cross-validation was performed, it showed a uniform error rate in long-term forecasting.