• Title/Summary/Keyword: Computational Cost Reduction

Search Result 143, Processing Time 0.026 seconds

Early Coding Unit-Splitting Termination Algorithm for High Efficiency Video Coding (HEVC)

  • Goswami, Kalyan;Kim, Byung-Gyu;Jun, Dongsan;Jung, Soon-Heung;Choi, Jin Soo
    • ETRI Journal
    • /
    • v.36 no.3
    • /
    • pp.407-417
    • /
    • 2014
  • A new-generation video coding standard, named High Efficiency Video Coding (HEVC), has recently been developed by JCT-VC. This new standard provides a significant improvement in picture quality, especially for high-resolution videos. However, one the most important challenges in HEVC is time complexity. A quadtree-based structure is created for the encoding and decoding processes and the rate-distortion (RD) cost is calculated for all possible dimensions of coding units in the quadtree. This provides a high encoding quality, but also causes computational complexity. We focus on a reduction scheme of the computational complexity and propose a new approach that can terminate the quadtree-based structure early, based on the RD costs of the parent and current levels. Our proposed algorithm is compared with HEVC Test Model version 10.0 software and a previously proposed algorithm. Experimental results show that our algorithm provides a significant time reduction for encoding, with only a small loss in video quality.

Krylov subspace-based model order reduction for Campbell diagram analysis of large-scale rotordynamic systems

  • Han, Jeong Sam
    • Structural Engineering and Mechanics
    • /
    • v.50 no.1
    • /
    • pp.19-36
    • /
    • 2014
  • This paper focuses on a model order reduction (MOR) for large-scale rotordynamic systems by using finite element discretization. Typical rotor-bearing systems consist of a rotor, built-on parts, and a support system. These systems require careful consideration in their dynamic analysis modeling because they include unsymmetrical stiffness, localized nonproportional damping, and frequency-dependent gyroscopic effects. Because of this complex geometry, the finite element model under consideration may have a very large number of degrees of freedom. Thus, the repeated dynamic analyses used to investigate the critical speeds, stability, and unbalanced response are computationally very expensive to complete within a practical design cycle. In this study, we demonstrate that a Krylov subspace-based MOR via moment matching significantly speeds up the rotordynamic analyses needed to check the whirling frequencies and critical speeds of large rotor systems. This approach is very efficient, because it is possible to repeat the dynamic simulation with the help of a reduced system by changing the operating rotational speed, which can be preserved as a parameter in the process of model reduction. Two examples of rotordynamic systems show that the suggested MOR provides a significant reduction in computational cost for a Campbell diagram analysis, while maintaining accuracy comparable to that of the original systems.

Development of Performance and Evaluation Program for Optical Filters (광필터 성능평가 프로그램 개발)

  • Choi D.-S.;Park H. S;Seo Y. H;Jae T.-J.;Whang K.-H.
    • Korean Journal of Computational Design and Engineering
    • /
    • v.9 no.3
    • /
    • pp.220-225
    • /
    • 2004
  • This paper presents a program for the automatic alignment of optical axes and evaluation of the optical filter performance which is a key technologies for the production of optical module. Recently the production of optical filter module mostly depends upon handwork or semi-automation. Moreover, they have used an expensive spectrum analyzer. In this work, we have developed an automatic alignment and evaluation program of optical filter module using photo detector and developed program for automation and cost reduction of the production of optical titter module.

Efficient Iterative Solvers for Modified Mild Slope Equation (수정완경사방정식을 위한 반복기법의 효율성 비교)

  • Yoon, Jong-Tae;Park, Seung-Min
    • Journal of Ocean Engineering and Technology
    • /
    • v.20 no.6 s.73
    • /
    • pp.61-66
    • /
    • 2006
  • Two iterative solvers are applied to solve the modified mild slope equation. The elliptic formulation of the governing equation is selected for numerical treatment because it is partly suited for complex wave fields, like those encountered inside harbors. The requirement that the computational model should be capable of dealing with a large problem domain is addressed by implementing and testing two iterative solvers, which are based on the Stabilized Bi-Conjugate Gradient Method (BiCGSTAB) and Generalized Conjugate Gradient Method (GCGM). The characteristics of the solvers are compared, using the results for Berkhoff's shoal test, used widely as a benchmark in coastal modeling. It is shown that the GCGM algorithm has a better convergence rate than BiCGSTAB, and preconditioning of these algorithms gives more than half a reduction of computational cost.

Semiactive Neuro-control for Seismically Excited Structure Considering Dynamics of MR Damper (지진하중을 받는 구조물의 MR 유체 감쇠기를 이용한 반능동 신경망제어)

  • 이헌재;정형조;오주원;이인원
    • Proceedings of the Computational Structural Engineering Institute Conference
    • /
    • 2003.04a
    • /
    • pp.403-410
    • /
    • 2003
  • A new semiactive control strategy for seismic response reduction using a neuro-controller and a magnetorheological (MR) fluid damper is proposed. The proposed control system adopts a clipped algorithm which induces the MR damper to generate approximately the desired force. The improved neuro - controller, which was developed by employing the training algorithm based on a cost function and the sensitivity evaluation algorithm replacing an emulator neural network, produces the desired active control force, and then by using the clipped algorithm the appropriate command voltage is selected in order to cause the MR damper to generate the desired control force. The simulation results show that the proposed semiactive neuro-control algorithm is quite effective to reduce seismic responses. In addition, the semi-active control system using MR fluid dampers has many attractive features, such as the bounded-input, bounded-output stability and small energy requirements. The results of this investigation, therefore, indicate that the proposed semi-active neuro-control strategy using MR fluid dampers could be effectively used for control of seismically excited structures.

  • PDF

Advanced Composite Material Slabs for Tall Buildings (고층 건물 경량화를 위한 첨단 복합재료 상판)

  • 김덕현;심도식;김성환
    • Proceedings of the Computational Structural Engineering Institute Conference
    • /
    • 1997.10a
    • /
    • pp.126-133
    • /
    • 1997
  • For each construction material used, there is certain theoretical limit in sizes. For tall building construction, the reduction in slab weight is the first step to take in order to break such size limits. In this paper, the feasibility of such objective is proven and given by numerical analysis result. For a typical building slab, both concrete and advanced composite sandwich panels are considered. The concrete slab is treated as a special orthotropic plate to obtain more accurate result. For each panel, the deflection under the dead and live loads is compared, since both tensile and compressive strengths of the composites are far more higher than those of concrete. All types of sandwich panels considered, except one case, have weights less than one tenth of that of reinforced concrete slab, with deflections less than that of the concrete slab. The cost analysis result and manufacturing methods will be reported later.

  • PDF

Comparison of Fall Detection Systems Based on YOLOPose and Long Short-Term Memory

  • Seung Su Jeong;Nam Ho Kim;Yun Seop Yu
    • Journal of information and communication convergence engineering
    • /
    • v.22 no.2
    • /
    • pp.139-144
    • /
    • 2024
  • In this study, four types of fall detection systems - designed with YOLOPose, principal component analysis (PCA), convolutional neural network (CNN), and long short-term memory (LSTM) architectures - were developed and compared in the detection of everyday falls. The experimental dataset encompassed seven types of activities: walking, lying, jumping, jumping in activities of daily living, falling backward, falling forward, and falling sideways. Keypoints extracted from YOLOPose were entered into the following architectures: RAW-LSTM, PCA-LSTM, RAW-PCA-LSTM, and PCA-CNN-LSTM. For the PCA architectures, the reduced input size stemming from a dimensionality reduction enhanced the operational efficiency in terms of computational time and memory at the cost of decreased accuracy. In contrast, the addition of a CNN resulted in higher complexity and lower accuracy. The RAW-LSTM architecture, which did not include either PCA or CNN, had the least number of parameters, which resulted in the best computational time and memory while also achieving the highest accuracy.

Life-Cycle Analysis of Nuclear Power Plant with Seismic Isolation System (면진장치 적용을 고려한 원전구조물 생애주기 분석)

  • Kim, Sunyong;Lee, Hong-Pyo;Cho, Myung-Sug
    • Journal of the Computational Structural Engineering Institute of Korea
    • /
    • v.26 no.6
    • /
    • pp.415-421
    • /
    • 2013
  • In order to extend the service life of a nuclear power plant(NPP) ensuring the structural safety, effective and efficient management of NPP considering structural deteriorations and various natural hazard risks has been treated as a significant tool(IAEA 1998). The systemic efforts is required to prevent the potential loss of NPPs resulting from the natural hazard including earthquakes, hurricane and flooding since the Fukushima accident. Earthquake risk of building structures can be mitigated through appropriate seismic isolation system installation. It has been known that a seismic isolation system can lead to reduction of the deleterious effect on ground motion induced by earthquakes, and structural safety can be improved. In this paper, the NPP life-cycle management is reviewed. Furthermore, effect of seismic isolation on the NPP life-cycle cost analysis with earthquake, and cost-benefit analysis in terms of life-cycle cost when applying the seismic isolation systems to NPP are introduced.

A Fast Intra-Prediction Method in HEVC Using Rate-Distortion Estimation Based on Hadamard Transform

  • Kim, Younhee;Jun, DongSan;Jung, Soon-Heung;Choi, Jin Soo;Kim, Jinwoong
    • ETRI Journal
    • /
    • v.35 no.2
    • /
    • pp.270-280
    • /
    • 2013
  • A fast intra-prediction method is proposed for High Efficiency Video Coding (HEVC) using a fast intra-mode decision and fast coding unit (CU) size decision. HEVC supports very sophisticated intra modes and a recursive quadtree-based CU structure. To provide a high coding efficiency, the mode and CU size are selected in a rate-distortion optimized manner. This causes a high computational complexity in the encoder, and, for practical applications, the complexity should be significantly reduced. In this paper, among the many predefined modes, the intra-prediction mode is chosen without rate-distortion optimization processes, instead using the difference between the minimum and second minimum of the rate-distortion cost estimation based on the Hadamard transform. The experiment results show that the proposed method achieves a 49.04% reduction in the intra-prediction time and a 32.74% reduction in the total encoding time with a nearly similar coding performance to that of HEVC test model 2.1.

Numerical investigation of on-demand fluidic winglet aerodynamic performance and turbulent characterization of a low aspect ratio wing

  • A. Mondal;S. Chatterjee;A. McDonald Tariang;L. Prince Raj;K. Debnath
    • Advances in aircraft and spacecraft science
    • /
    • v.10 no.2
    • /
    • pp.107-125
    • /
    • 2023
  • Drag reduction is significant research in aircraft design due to its effect on the cost of operation and carbon footprint reduction. Aircraft currently use conventional solid winglets to reduce the induced drag, adding extra structural weight. Fluidic on-demand winglets can effectively reduce drag for low-speed flight regimes without adding any extra weight. These utilize the spanwise airflow from the wingtips using hydraulic actuators to create jets that negate tip vortices. This study develops a computational model to investigate fluidic on-demand winglets. The well-validated computational model is applied to investigate the effect of injection velocity and angle on the aerodynamic coefficients of a rectangular wing. Further, the turbulence parameters such as turbulent kinetic energy (TKE) and turbulent dissipation rate are studied in detail at various velocity injections and at an angle of 30°. The results show that the increase in injection velocity shifted the vortex core away from the wing tip and the increase in injection angle shifted the vortex core in the vertical direction. Further, it was found that a 30° injection is efficient among all injection velocities and highly efficient at a velocity ratio of 3. This technology can be adopted in any aircraft, effectively working at various angles of attack. The culmination of this study is that the implementation of fluidic winglets leads to a significant reduction in drag at low speeds for low aspect ratio wings.