• Title/Summary/Keyword: prediction mode

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Effect of curing conditions on mode-II debonding between FRP and concrete: A prediction model

  • Jiao, Pengcheng;Soleimani, Sepehr;Xu, Quan;Cai, Lulu;Wang, Yuanhong
    • Computers and Concrete
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    • v.20 no.6
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    • pp.635-643
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    • 2017
  • The rehabilitation and strengthening of concrete structures using Fiber-Reinforced Polymer (FRP) materials have been widely investigated. As a priority issue, however, the effect of curing conditions on the bonding behavior between FRP and concrete structures is still elusive. This study aims at developing a prediction model to accurately capture the mode-II interfacial debonding between FRP strips and concrete under different curing conditions. Single shear debonding experiments were conducted on FRP-concrete samples with respect to different curing time t and temperatures T. The J-integral formulation and constrained least square minimization are carried out to calibrate the parameters, i.e., the maximum slip $\bar{s}$ and stretch factor n. The prediction model is developed based on the cohesive model and Arrhenius relationship. The experimental data are then analyzed using the proposed model to predict the debonding between FRP and concrete, i.e., the interfacial shear stress-slip relationship. A Finite Element (FE) model is developed to validate the theoretical predictions. Satisfactory agreements are obtained. The prediction model can be used to accurately capture the bonding performance of FRP-concrete structures.

How Does the Presentation Mode of Product Information Affect Product Evaluation? : The Mediation of Construal Level and the Moderation of Response Time

  • Cho, Hyun Young
    • International Journal of Contents
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    • v.16 no.1
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    • pp.44-56
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    • 2020
  • The purpose of this study was to examine how the presentation mode (sequential- vs. simultaneous-mode) of information influences its evaluation. Three experiments revealed the interaction effect between the presentation mode and the valence of the product information. When respondents read about the positive aspects of the product, the evaluation was higher in the simultaneous presentation mode than in the sequential presentation mode. For negative product information, respondents' evaluation was higher in the sequential presentation mode than in the simultaneous presentation mode. The simultaneous presentation mode intensified the impact of the information valence on evaluation. This study proposed that the sequential and the simultaneous presentation modes prime high and low construal levels, respectively. The mediation analysis provides support for such a prediction. Finally, the mediating effect of construal levels in evaluation was shown to disappear when respondents focused on the product information for a longer duration, while the mediation effect remained when the response time was short.

COMPUTATIONAL DURABILITY PREDICTION OF BODY STRUCTURES IN PROTOTYPE VEHICLES

  • Kim, H.-S.;Yim, H.-J.;Kim, C.-B.
    • International Journal of Automotive Technology
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    • v.3 no.4
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    • pp.129-135
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    • 2002
  • Durability estimation of a prototype vehicle has traditionally relied heavily on accelerated durability tests using predefined proving grounds or rig tests using a road simulator. By use of those tests, it is very difficult to predict durability failures in actual service environments. This motivated the development of an integrated CAE (Computer Aided Engineering) methodology for the durability estimation of a prototype vehicle in actual service environments. Since expensive computational costs such as computation time and hardware resources are required for a full vehicle simulation in those environments with a very long span of event time, the conventional CAE methodologies have little feasibility. An efficient computational methodology for durability estimations is applied with theoretical developments. The effectiveness of the proposed methodology is shown by the comparison of results of the typical actual service environment such as the city mode with those of the typical accelerated durability test over the Belgian road.

Analysis of Excitation Forces for the Prediction of the Vehicle Interior Noise by the Powertrain (Powertrain에 의한 차량실내소음 예측을 위한 엔진 가진력 해석에 관한 연구)

  • Lee, Joo-Hyung;Kim, Sung-Jong;Kim, Tae-Yong;Lee, Sang-Kwon
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.12 s.117
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    • pp.1244-1251
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    • 2006
  • The objective of this paper is to get excitation forces of the engine at each of the brackets for the prediction of the vehicle interior noise by the powertrain. A powertrain geometry model is produced by CATIA and its FE model is made by MSC/Patran. A vibration mode analysis and a running mode analysis are experimentally implemented. After getting a satisfied MAC value by doing a correlation about a measured mode analysis value and analyzed value through MSC/Nastran software, all components are assembled through MSC/ADAMS software which is a dynamic analysis tool. We can predict the vibration of brackets which is the last points to occur the force of the engine combustion by analyzing the combustion force produced by engine mechanism.

A Novel Predictive Digital Controlled Sensorless PFC Converter under the Boundary Conduction Mode

  • Wang, Jizhe;Maruta, Hidenori;Matsunaga, Motoshi;Kurokawa, Fujio
    • Journal of Power Electronics
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    • v.17 no.1
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    • pp.1-10
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    • 2017
  • This paper presents a novel predictive digital control method for boundary conduction mode PFC converters without the need for detecting the inductor current. In the proposed method, the inductor current is predicted by analytical equations instead of being detected by a sensing-resistor. The predicted zero-crossing point of the inductor current is determined by the values of the input voltage, output voltage and predicted inductor current. Importantly, the prediction of zero-crossing point is achieved in just a single switching cycle. Therefore, the errors in predictive calculation caused by parameter variations can be compensated. The prediction of the zero-crossing point with the proposed method has been shown to have good accuracy. The proposed method also shows high stability towards variations in both the inductance and output power. Experimental results demonstrate the effectiveness of the proposed predictive digital control method for PFC converters.

Depth-of-interest-based Bypass Coding-unit Algorithm for Inter-prediction in High-efficiency Video Coding

  • Rhee, Chae Eun
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.4
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    • pp.231-234
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    • 2016
  • The next-generation video coding standard known as High-Efficiency Video Coding (HEVC) was developed with the aim of doubling the bitrate reduction offered by H.264/Advanced Video Coding (AVC) at the expense of an increase in computational complexity. Mode decision with motion estimation is still one of the most time-consuming computations in HEVC, as it is with H.264/AVC. Several schemes for a fast mode decision have been presented in reference software and in other studies. However, a possible speed-up in conventional schemes is sometimes insignificant for videos that have inhomogeneous spatial and temporal characteristics. This paper proposes a bypass algorithm to skip large-block-size predictions for videos where small block sizes are preferred over large ones. The proposed algorithm does not overlap with those in previous works, and thus, is easily used with other fast algorithms. Consequently, an independent speed-up is possible.

Fast Intra Mode Decision using Transform Coefficients (변환 계수를 이용한 고속 인트라모드 결정법)

  • Hwang Gyu-Yong;Park Jong-Bin;Jeon Byeung-Woo
    • 한국정보통신설비학회:학술대회논문집
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    • 2006.08a
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    • pp.255-258
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    • 2006
  • In the H.264/AVC standard, intra prediction increases the coding efficiency of intra macroblocks and by applying rate-distortion optimization to each macroblock, it is possible to choose Inter or Intra encoding adaptively. This sort of encoding scheme, however, increases encoding complexity dramatically and causes troubles in practical applications of the real-time mobile environment. In order to decrease the complexity, variety of methods is proposed but most of those take only its current block into consideration for selecting candidate modes which naturally causes degradation in PSNR (Peak Signal to Noise Ratio). The proposed fast intra mode decision finds the candidate modes by analyzing transformed coefficients of neighboring blocks stored in the buffer at the encoder stage of input sequences. We verify this proposed scheme in complexity, PSNR and bit-rate.

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Multi Mode Harmonic Transform Coding for Speech and Music

  • Kim, Jonghark;Shin, Jae-Hyun;Lee, Insung
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.3E
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    • pp.101-109
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    • 2003
  • A multi-mode harmonic transform coding (MMHTC) for speech and music signals is proposed. Its structure is organized as a linear prediction model with an input of harmonic and transform-based excitation. The proposed coder also utilizes harmonic prediction and an improved quantizer of excitation signal. To efficiently quantize the excitation of music signals, the modulated lapped transform(MLT) is introduced. In other words, the coder combines both the time domain (linear prediction) and the frequency domain technique to achieve the best perceptual quality. The proposed coder showed better speech quality than that of the 8 kbps QCELP coder at a bit-rate of 4 kbps.

Design of Autocoast Tracking Algorithm by the Prediction of Target Occlusion and its On-Based Implementation (표적 가림 예측에 의한 기억추적 알고리즘 개발 및 구현)

  • Kim, So-Hyun;Jang, Gwang-Il;Kwon, Kang-Hoon;Jung, Jin-Hyun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.3
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    • pp.354-359
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    • 2009
  • In this paper, the Autocoast algorithm is proposed for EOTS to overcome the target occlusion status. Coast mode, one of tracking modes, is to maintain the servo slew rate with the tracking rate right before the loss of track. The Autocoast algorithm makes decision of entering coast mode by the prediction of target occlusion and tries to refind target after the coast time. This algorithm composes of 3 steps, the first step is the prediction process of the occlusion by target-like background, the second one is the check process of the occlusion happened after background intensity variation, and the last one is the process of refinding target. The result of computer simulation, test under laboratory, and real test with EOTS shows the applicability for the automatic video tracking system.

Efficient Coding Technique for Intra Prediction Modes Using The Statistical Distribution of Intra Modes of Adjacent Intra Blocks (주변 인트라블록 예측 모드의 통계적 분포를 이용한 효율적인 인트라 $4{\times}4$ 예측 모드 부호화 방법)

  • Kim, Jae-Min;Jeon, Ju-Il;Kang, Hyun-Soo
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.949-950
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    • 2008
  • The intra prediction technique is the one of the key factors to the success of H.264. There are nine optional prediction modes for each $4{\times}4$ luma block and 4 modes for each $16{\times}16$ luma block. To reduce the intra mode bits efficiently, the most probable mode (MPM) is estimated by using the intra modes of the adjacent blocks, since intra modes for neighboring $4{\times}4$ luma blocks are correlated. In this paper, a new method for estimating the MPM is proposed by using the statistical distribution of intra modes of adjacent intra blocks. Experimental results show that the proposed method can achieve a coding gain of about 0.1dB.

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