• Title/Summary/Keyword: computer simulation program

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A Dual Slotted Ring Organization for Reducing Memory Access Latency in Distributed Shared Memory System (분산 공유 메모리 시스템에서 메모리 접근지연을 줄이기 위한 이중 슬롯링 구조)

  • Min, Jun-Sik;Chang, Tae-Mu
    • The KIPS Transactions:PartA
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    • v.8A no.4
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    • pp.419-428
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    • 2001
  • Advances in circuit and integration technology are continuously boosting the speed of processors. One of the main challenges presented by such developments is the effective use of powerful processors in shared memory multiprocessor system. We believe that the interconnection problem is not solved even for small scale shared memory multiprocessor, since the speed of shared buses is unlikely to keep up with the bandwidth requirements of new powerful processors. In the past few years, point-to-point unidirectional connection have emerged as a very promising interconnection technology. The single slotted ring is the simplest form point-to-point interconnection. The main limitation of the single slotted ring architecture is that latency of access increase linearly with the number of the processors in the ring. Because of this, we proposed the dual slotted ring as an alternative to single slotted ring for cache-based multiprocessor system. In this paper, we analyze the proposed dual slotted ring architecture using new snooping protocol and enforce simulation to compare it with single slotted ring.

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Modeling of Practical Photovoltaic Generation System using Controllable Current Source based Inverter (제어 가능한 전류원 기반의 인버터를 이용한 실제적 태양광 발전 시스템 모델링)

  • Oh, Yun-Sik;Cho, Kyu-Jung;Kim, Min-Sung;Kim, Ji-Soo;Kang, Sung-Bum;Kim, Chul-Hwan;Lee, You-Jin;Ko, Yun-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.8
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    • pp.1340-1346
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    • 2016
  • Utilization of Distributed Generations (DGs) using Renewable Energy Sources (RESs) has been constantly increasing as they provide a lot of environmental, economic merits. In spite of these merits, some problems with respect to voltage profile, protection and its coordination system due to reverse power flow could happen. In order to analyze and solve the problems, accurate modeling of DG systems should be preceded as a fundamental research task. In this paper, we present a PhotoVoltaic (PV) generation system which consists of practical PV cells with series and parallel resistor and an inverter for interconnection with a main distribution system. The inverter is based on controllable current source which is capable of controlling power factors, active and reactive powers within a certain limit related to amount of PV generation. To verify performance of the model, a distribution system based on actual data is modeled by using ElectroMagnetic Transient Program (EMTP) software. Computer simulations according to various conditions are also performed and it is shown from simulation results that the model presented is very effective to study DG-related researches.

A Mathematical Model for the Discharge Mechanism of a Metal Hydride Electrode (금속수소 전극의 방전기구에 대한 수학적 모델)

  • Shin, Chee Burm;Hong, Jung Ho;Yun, Kyung Suk;Cho, Byung Won;Cho, Won Il;Jeon, Gui
    • Applied Chemistry for Engineering
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    • v.9 no.5
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    • pp.768-773
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    • 1998
  • A mathematical model of discharge mechanism of metal-hydride (MH) electrode was presented. A computer simulation program was developed in order to predict the variation of electrode potential and the distribution of hydrogen concentration within MH particles during discharge. By investigating the effects of the discharge current density, the size of MH particle, the diffusivity of hydrogen in MH particle, and the porosity of the electrode, it was found that these factors exerted a collective effect on the discharge characteristic of the electrode and the utilization of hydrogen in the MH particle. It was confirmed that and optimization of design factors of an MH electrode is necessary in order to execute a high-rate discharge and to improve the utilization of hydrogen in MH particle.

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A Predictive Study on Backset Variation on the Neck Injury of Human Model during Rear-end Collision (후방추돌시 백세트 변화에 따른 인체모형의 목상해에 관한 예측 연구)

  • Park, Jin-Su;Baek, Se-Ryong;Lim, Jong-Han;Yoon, Jun-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.251-258
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    • 2018
  • Recently, due to the increase in the traffic volume of vehicle, the collision of the vehicle collision has been increased so that the neck injuries of the passengers has been increased. In order to prevent this, vehicle collision analysis research using computer simulation has been actively carried out in consideration of the design point of car seat. In this study, I used the MADYMO program for analyzing the passenger behavior using a BioRID II dummy, and predicted the neck injuries of passengers according to the change of the backset at the rearward collision of the driving speed of 16km/h. As a result, it was found that the shorter the backset, the shorter the contact start time but the contact completion time was almost the same and the T1 acceleration showed that the acceleration increased with the backset. In addition, the tensile strength increases as the backset increases, and NIC (Neck Injury Criterion) increases as the head speed reaches the headrest.

Study on the distribution law and influencing factors of pressure field distribution before exploitation in heavy oilfield

  • Zhang, Xing;Jiang, Ting T.;Zhang, Jian H.;Li, Bo;Li, Yu B.;Zhang, Chun Y.;Xu, Bing B.;Qi, Peng
    • Geomechanics and Engineering
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    • v.18 no.2
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    • pp.205-213
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    • 2019
  • A calculation model of reservoir pressure field distribution around multiple production wells in a heavy oil reservoir is established, which can overcome the unreasonable uniform-pressure value calculated by the traditional mathematical model in the multiwell mining areas. A calculating program is developed based on the deduced equations by using Visual Basic computer language. Based on the proposed mathematical model, the effects of drainage rate and formation permeability on the distribution of reservoir pressure are studied. Results show that the reservoir pressure drops most at the wellbore. The farther the distance away from the borehole, the sparser the isobaric lines distribute. Increasing drainage rate results in decreasing reservoir pressure and bottom-hole pressure, especially the latter. The permeability has a significant effect on bottom hole pressure. The study provides a reference basis for studying the dynamic pressure field distribution before thermal recovery technology in heavy oilfield and optimizing construction parameters.

AIC & MDL Algorithm Based on Beamspace, for Efficient Estimation of the Number of Signals (효율적인 신호개수 추정을 위한 빔공간 기반 AIC 및 MDL 알고리즘)

  • Park, Heui-Seon;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.4
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    • pp.617-624
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    • 2021
  • The accurate estimation of the number of signals included in the received signal is required for the AOA(: Angle-of-Arrival) estimation, the interference suppression, the signal reception, etc. AIC(: Akaike Information Criterion) and MDL(: Minimum Description Length) algorithms, which are known as the typical algorithms to estimate the signal number, estimate the number of signals according to the minimum of each criterion. As the number of antenna elements increased, the estimation performance is enhanced, but the computational complexity is increased because values of criteria for entire antenna elements should be calculated for finding their minimum. In order to improve this problem, in this paper, we propose AIC and MDL algorithms based on the beamspace, which efficiently estimate the number of signals while reducing the computational complexity by reducing the dimension of an array antenna through the beamspace processing. In addition, we provide computer simulation results based on various scenarios for evaluating and analysing the estimation performance of the proposed algorithms.

Context-awareness User Analysis based on Clustering Algorithm (클러스터링 알고리즘기반의 상황인식 사용자 분석)

  • Lee, Kang-whan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.7
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    • pp.942-948
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    • 2020
  • In this paper, we propose a clustered algorithm that possible more efficient user distinction within clustering using context-aware attribute information. In typically, the data provided to classify interrelationships within cluster information in the process of clustering data will be as a degrade factor if new or newly processing information is treated as contaminated information in comparative information. In this paper, we have developed a clustering algorithm that can extract user's recognition information to solve this problem in using K-means algorithm. The proposed algorithm analyzes the user's clustering attributed parameters from user clusters using accumulated information and clustering according to their attributes. The results of the simulation with the proposed algorithm showed that the user management system was more adaptable in terms of classifying and maintaining multiple users in clusters.

Developments of Advanced Connection Type for Improvements of Mixed Structures (II) (혼합구조의 성능 향상을 위한 개선된 접합부의 개발 (II): 개선된 접합방식의 성능확인을 위한 모형실험 및 해석)

  • Yun, Ik Jung;Lho, Byeong Cheol;Kim, Moon Kyum;Cho, Sung Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.2A
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    • pp.207-214
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    • 2008
  • This study presents a way to validate the quality level of the proposed connection type and verify the experimental test, and performs a 3D nonlinear analysis corresponding to the experimental test. Two mixed-structure beams were cast and tested under a four-point static loading. Force-displacement relation, force-strain relation, force-opening width, and failure mode were observed from comparing the numerical results of the adopted FE model. Nonlinear analysis of mixed structures was carried out by utilizing the contact elements of a general purpose structural analysis computer program (ABAQUS). The results of numerical and experimental simulation show that the proposed L-shaped connection has greater stiffness under flexural loading and better structural performance with regard to the connection.

Estimate of Wave Overtopping Rate on Armoured Slope Structures Using FUNWAVE-TVD Model (FUNWAVE-TVD 모델을 이용한 경사구조물의 월파량 산정)

  • Moon Su Kwak
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.36 no.1
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    • pp.11-19
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    • 2024
  • In this study, the program was modified by adding the empirical formula of EurOtop (2018) to enable calculation of wave overtopping on armoured slope structures in the FUNWAVE-TVD model using the fully nonlinear Boussinesq equation. The validity of the modified numerical model was verified by comparing it with CLASH data and experiment data for the rubble mound structure. This model accurately reproduced the change in wave overtopping rate according to the difference in the roughness factor of the armoured block, and well reproduced the rate of decrease in wave overtopping rate due to the increase in relative freeboard. The overtopping rate of the armoured slope structures showed significant differences depending on the positioning condition of the armoured blocks. When Tetrapods were placed with regular positioning, the overtopping rate increased significantly compared to when they were placed with random positioning, and it was consistent with when they were placed with Rocks. Meanwhile, when rocks were placed in one row, the wave overtopping rate was greater than when rocks were placed in two rows, which is believed to be due to the influence of the roughness and permeability of the structure's surface.

A Branch Prediction Mechanism Using Adaptive Branch History Length (적응 가능한 분기 히스토리 길이를 사용하는 분기 예측 메커니즘)

  • Cho, Young-Il
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.1
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    • pp.33-40
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    • 2007
  • Processor pipelines have been growing deeper and issue widths wider over the years. If this trend continues, the branch misprediction penalty will become very high. Branch misprediction is the single most significant performance limiter for improving processor performance using deeper pipelining. Therefore, more accurate branch predictor becomes an essential part of modern processors. Several branch predictors combine a part of the branch address with a fixed amount of global branch history to make a prediction. These predictors cannot perform uniformly well across all programs because the best amount of branch history to be used depends on the program and branches in the program. Therefore, predictors that use a fixed history length are unable to perform up to their potential performance. In this paper, we propose a branch prediction mechanism, using variable length history, which predicts using a bank having higher prediction accuracy among predictions from five banks. Bank 0 is a bimodal predictor which is indexed with the 12 least significant bits of the branch address. Banks 1, 2, 3 and 4 are predictors which are indexed with different global history bits and the branch PC. In simulation results, the proposed mechanism outperforms gshare predictors using fixed history length of 12 and 13 , up to 6.34% in prediction accuracy. Furthermore, the proposed mechanism outperforms gshare predictors using best history lengths for benchmarks, up to 2.3% in prediction accuracy.