• Title/Summary/Keyword: Approximate computer based method

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Simplified Analysis of Three Dimensional Mega Foundations for High-Rise Buildings

  • Jeong, Sangseom;Lee, Jaehwan;Cho, Jaeyeon
    • International Journal of High-Rise Buildings
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    • v.4 no.4
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    • pp.241-247
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    • 2015
  • In this study, an approximate computer-based method was developed to analyze the behavior of raft and piled raft foundations. Special attention is given to the improved analytical method proposed by considering raft flexibility and soil nonlinearity. The overall objective of this study is to focus on the application of a simplified analysis method for predicting the behavior of sub-structures. Through the comparative studies, it is found that the computer programs (YS-MAT and YSPR), developed in this study, is in agreement with the general trends observed by field measurements. Therefore, YS-MAT (Yonsei-Mat) and YSPR (Yonsei Piled Raft) can be effectively used for the preliminary design of a raft or a piled raft foundation for high-rise buildings.

Output Tracking of an Unmanned Tandem Helicopter Based On Dynamic Augment Method

  • Hu, Chun-hua;Zhu, Ji-hong;Huang, Xing-li;Hu, Jin-chun;Sun, Zeng-qi
    • International Journal of Control, Automation, and Systems
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    • v.2 no.2
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    • pp.156-164
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    • 2004
  • The unmanned tandem helicopter, which is a MIMO nonlinear system with complexity and inherent instability, exists in unstable zero dynamics. In this paper, approximate linearization is presented to design the controller for output tracking of an unmanned tandem helicopter based on the dynamic augment method, and the simulation results are encouraging.

An Approximate Query Answering Method using a Knowledge Representation Approach (지식 표현 방식을 이용한 근사 질의응답 기법)

  • Lee, Sun-Young;Lee, Jong-Yun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.8
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    • pp.3689-3696
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    • 2011
  • In decision support system, knowledge workers require aggregation operations of the large data and are more interested in the trend analysis rather than in the punctual analysis. Therefore, it is necessary to provide fast approximate answers rather than exact answers, and to research approximate query answering techniques. In this paper, we propose a new approximation query answering method which is based on Fuzzy C-means clustering (FCM) method and Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed method using FCM-ANFIS can compute aggregate queries without accessing massive multidimensional data cube by producing the KR model of multidimensional data cube. In our experiments, we show that our method using the KR model outperforms the NMF method.

Confidence intervals on variance components in multiple regression model with one-fold nested error strucutre (중첩오차를 갖는 중회귀모형에서 분산의 신뢰구간)

  • 박동준
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.495-498
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    • 1996
  • Regression model with nested error structure interval estimations about variability on different stages are proposed. This article derives an approximate confidence interval on the variance in the first stage and an exact confidence interval on the variance in the second stage in two stage regression model. The approximate confidence interval is based on Ting et al. (1990) method. Computer simulation is provided to show that the approximate confidence interval maintains the stated confidence coefficient.

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Weighted Approximate Matching for Character-based Similar Trademark Retrieval (문자기반 유사상표 검색을 위한 가중치 부여 근사매칭)

  • Suh, Chang-Duck;Kim, Whoi-Yul
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.37 no.1
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    • pp.43-54
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    • 2000
  • Character-based trademarks constitute 90% of registered trademarks at the Korean Patent Office. This paper proposes a method to improve the precision rate when for similar trademarks in such systems. The proposed method first calculates the similarity measure by an image processing. The method has been implemented and merged with the existing device-mark retrieval system to improve precision rate by 16.2% compared to other approximate matching methods.

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Approximate Multiplier With Efficient 4-2 Compressor and Compensation Characteristic (효율적인 4-2 Compressor와 보상 특성을 갖는 근사 곱셈기)

  • Kim, Seok;Seo, Ho-Sung;Kim, Su;Kim, Dae-Ik
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.173-180
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    • 2022
  • Approximate Computing is a promising method for designing hardware-efficient computing systems. Approximate multiplication is one of key operations used in approximate computing methods for high performance and low power computing. An approximate 4-2 compressor can implement hardware-efficient circuits for approximate multiplication. In this paper, we propose an approximate multiplier with low area and low power characteristics. The proposed approximate multiplier architecture is segmented into three portions; an exact region, an approximate region, and a constant correction region. Partial product reduction in the approximation region are simplified using a new 4:2 approximate compressor, and the error due to approximation is compensated using a simple error correction scheme. Constant correction region uses a constant calculated with probabilistic analysis for reducing error. Experimental results of 8×8 multiplier show that the proposed design requires less area, and consumes less power than conventional 4-2 compressor-based approximate multiplier.

FLUID SIMULATION METHODS FOR COMPUTER GRAPHICS SPECIAL EFFECTS (컴퓨터 그래픽스 특수효과를 위한 유체시뮬레이션 기법들)

  • Jung, Moon-Ryul
    • 한국전산유체공학회:학술대회논문집
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    • 2009.11a
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    • pp.1-1
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    • 2009
  • In this presentation, I talk about various fluid simulation methods that have been developed for computer graphics special effects since 1996. They are all based on CFD but sacrifice physical reality for visual plausability and time. But as the speed of computer increases rapidly and the capability of GPU (graphics processing unit) improves, methods for more physical realism have been tried. In this talk, I will focus on four aspects of fluid simulation methods for computer graphics: (1) particle level-set methods, (2) particle-based simulation, (3) methods for exact satisfaction of incompressibility constraint, and (4) GPU-based simulation. (1) Particle level-set methods evolve the surface of fluid by means of the zero-level set and a band of massless marker particles on both sides of it. The evolution of the zero-level set captures the surface in an approximate manner and the evolution of marker particles captures the fine details of the surface, and the zero-level set is modified based on the particle positions in each step of evolution. (2) Recently the particle-based Lagrangian approach to fluid simulation gains some popularity, because it automatically respects mass conservation and the difficulty of tracking the surface geometry has been somewhat addressed. (3) Until recently fluid simulation algorithm was dominated by approximate fractional step methods. They split the Navier-Stoke equation into two, so that the first one solves the equation without considering the incompressibility constraint and the second finds the pressure which satisfies the constraint. In this approach, the first step introduces error inevitably, producing numerical diffusion in solution. But recently exact fractional step methods without error have been developed by fluid mechanics scholars), and another method was introduced which satisfies the incompressibility constraint by formulating fluid in terms of vorticity field rather than velocity field (by computer graphics scholars). (4) Finally, I want to mention GPU implementation of fluid simulation, which takes advantage of the fact that discrete fluid equations can be solved in parallel.

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A Study on TSIUVC Approximate-Synthesis Method using Least Mean Square (최소 자승법을 이용한 TSIUVC 근사합성법에 관한 연구)

  • Lee, See-Woo
    • The KIPS Transactions:PartB
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    • v.9B no.2
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    • pp.223-230
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    • 2002
  • In a speech coding system using excitation source of voiced and unvoiced, it would be involves a distortion of speech waveform in case coexist with a voiced and an unvoiced consonants in a frame. This paper present a new method of TSIUVC (Transition Segment Including Unvoiced Consonant) approximate-synthesis by using Least Mean Square. The TSIUVC extraction is based on a zero crossing rate and IPP (Individual Pitch Pulses) extraction algorithm using residual signal of FIR-STREAK Digital Filter. As a result, This method obtain a high Quality approximation-synthesis waveform by using Least Mean Square. The important thing is that the frequency signals in a maximum error signal can be made with low distortion approximation-synthesis waveform. This method has the capability of being applied to a new speech coding of Voiced/Silence/TSIUVC, speech analysis and speech synthesis.

Development of Three-dimensional Approximate Analysis Method for Piled Raft Foundations (말뚝지지 전면기초의 3차원 근사해석기법 개발)

  • Cho, Jae-Yeon;Jeong, Sang-Seom
    • Journal of the Korean Geotechnical Society
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    • v.28 no.4
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    • pp.67-78
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    • 2012
  • A three-dimensional approximate computer-based method, YSPR (Yonsei Piled Raft), was developed for analysis of behavior of piled raft foundations. The raft was modeled as a flat shell element having 6 degrees of freedom at each node and the pile was modeled as a beam-column element. The behaviors of pile head and soil were controlled by using $6{\times}6$ stiffness matrix. To model the non-linear behavior, the soil-structure interaction between soil and pile was modeled by using nonlinear load-transfer curves (t-z, q-z and p-y curves). Comparison with previous model and FEM analysis showed that YSPR gave similar load-displacement behaviors. Comparison with field measurement also indicated that YSPR gave a reasonable result. It was concluded that YSPR could be effectively used in analysis and design of piled raft foundations.

Fingerprint Detection Using Canny Filter and DWT, a New Approach

  • Islam, Md. Imdadul;Begum, Nasima;Alam, Mahbubul;Amin, M.R.
    • Journal of Information Processing Systems
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    • v.6 no.4
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    • pp.511-520
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    • 2010
  • This paper proposes two new methods to detect the fingerprints of different persons based on one-dimensional and two-dimensional discrete wavelet transformations (DWTs). Recent literature shows that fingerprint detection based on DWT requires less memory space compared to pattern recognition and moment-based image recognition techniques. In this study four statistical parameters - cross correlation co-efficient, skewness, kurtosis and convolution of the approximate coefficient of one-dimensional DWTs are used to evaluate the two methods involving fingerprints of the same person and those of different persons. Within the contexts of all statistical parameters in detection of fingerprints, our second method shows better results than that of the first method.