• Title/Summary/Keyword: $C^*$ Estimation

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A 4-way Pipelined Processing Architecture for Three-Step Search Block Matching Algorithm (3 단계 블록 매칭 알고리즘을 위한 4-경로 파이프라인 처리)

  • Jung, Sung-Tae;Lee, Sang-Seol;Nam, Kung-Moon
    • Journal of Korea Multimedia Society
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    • v.7 no.8
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    • pp.1170-1182
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    • 2004
  • A novel 4-way pipelined processing architecture is presented for three-step search block-matching motion estimation. For the 4-way pipelined processing, we have developed a method which divides the current block and search area into 4 subregions respectively and processes them concurrently. Also, we have developed memory partitioning method to access pixel data from 4 subregions concurrently without memory conflict. The architecture has been designed and simulated with C language and VHDL. Experimental results show that the proposed architecture achieves a high performance for real time motion estimation.

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A DS-UWB Radar System Based on Correlation Accumulation (상관값 누적 기반 DS-UWB 레이더 시스템)

  • Lee, Youngpo;Yoon, Seokho;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.4
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    • pp.359-364
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    • 2013
  • In this paper, we propose a direct sequence ultra wideband (DS-UWB) radar system based on correlation accumulation in the fields of the ship traffic control and the safe ship operation including docking guidance systems. The proposed DS-UWB radar system averages out the noise by accumulating correlator outputs, and thus, provides a reliable distance estimation performance with a shorter estimation time compared with conventional DS-UWB radar systems. From numerical results, it is confirmed that the proposed DS-UWB radar system has not only a shorter average correlation processing time, but also a better distance estimation performance.

Estimation of Fatigue Integrity for Small Aircraft Engine Mount Strut (소형 항공기 엔진 마운트 구조물의 피로 건전성 평가)

  • Lee, Mu-Hyoung;Park, Ill-Kyoung;Kim, Sung-Joon;Ahn, Seok-Min
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.4
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    • pp.58-66
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    • 2011
  • The estimation of fatigue integrity is very important for aerospace structures such as engine mount strut. The reason is that the fatigue integrity is essential analysis process to establish the structural stability in aerospace field. Therefore, in this paper, the process of fatigue analysis and test was performed for engine mount strut to prove the structural fatigue integrity. First of all, the fatigue load spectrum is constructed by considering the small aircraft operating condition. Fatigue analysis is done for the cluster near the welding zone which may have F.C.L.(fracture critical location). The fatigue life of engine mount strut was estimated by the Miner's rule which is the damage summation method. Finally, Fatigue test is performed to verify the fatigue integrity. The estimation process of fatigue integrity for engine mount strut of small aircraft may help the design.

Design of RBF Neural Networks Based on Recursive Weighted Least Square Estimation for Processing Massive Meteorological Radar Data and Its Application (방대한 기상 레이더 데이터의 원할한 처리를 위한 순환 가중최소자승법 기반 RBF 뉴럴 네트워크 설계 및 응용)

  • Kang, Jeon-Seong;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.99-106
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    • 2015
  • In this study, we propose Radial basis function Neural Network(RBFNN) using Recursive Weighted Least Square Estimation(RWLSE) to effectively deal with big data class meteorological radar data. In the condition part of the RBFNN, Fuzzy C-Means(FCM) clustering is used to obtain fitness values taking into account characteristics of input data, and connection weights are defined as linear polynomial function in the conclusion part. The coefficients of the polynomial function are estimated by using RWLSE in order to cope with big data. As recursive learning technique, RWLSE which is based on WLSE is carried out to efficiently process big data. This study is experimented with both widely used some Machine Learning (ML) dataset and big data obtained from meteorological radar to evaluate the performance of the proposed classifier. The meteorological radar data as big data consists of precipitation echo and non-precipitation echo, and the proposed classifier is used to efficiently classify these echoes.

An Adaptive Mutiresolution Estimation Considering the Spatial and Spectral Characteristic

  • Kim, Kwang-Yong;Kim, Kyung-Ok
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.999-1002
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    • 2002
  • In this paper, we proposes an adaptive method for reducing the computational overhead of fine-to-coarse MRME at the finest resolution level by considering for the spatial and spectral characteristics between wavelet decomposition levels simultaneously. As we know, there is high correlation between the adjacent blocks and it can give the very important clue to estimate motion at finest level. So, in this paper, using the initial motion vector and the adjacent motion vector in the coarsest level, we determine the optimal direction that will be minimized the estimation error in the finest level. In that direction, we define the potential searching region within the full searching region that is caused to increase much computational overhead in the FtC method. Last, in that region, we process the efficient 2-step motion estimation. and estimate the motion vector at finest resolution level. And then, this determined motion vector is scaled to coarser resolutions. As simulation result, this method is similar to computational complexity of the CtF MRME method and very significantly reduces that of the FtC MRME method. In addition, they provide higher quality than CtF MRME, both visually and quantitatively

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An Experimental Study on the Concrete Pore Structure Property (콘크리트의 공극 특성에 관한 실험적 연구)

  • Lee, Mun-Hwan;Jung, Mi-Kyung;Oh, Se-Chul;Seo, Chee-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.4
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    • pp.179-189
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    • 1999
  • This study attempts to propose an evaluation considering the property of concrete pore which affects the deterioration of neutralization and the rebar resistance of concrete. Understanding pore property of concrete in using extent, for practical using of concrete manufacturing condition. basic quality property and durability estimation etc, the results of the experiment are as follows. 1) The result of analysis pore property of every specimen with the method of area ratio, in limitation of $10^{-6}{\sim}10^{-5}m$, the pore distribution ratio was maximum. It was high value as W/C was increased and the unit cement content was decreased. 2) In case of using admixture. the volume of pores was some increased as variation of mixing content. In high W/C range, it was very increased compared with plain concrete. 3) Concerned with compressive strength and volume of pores in hardened concrete, it is possible compressive strength estimation using the property of concrete pores. 4) Direct measurement of concrete pore property is difficult. the valuation of the dynamic modulus of elasticity using ultrasonic wave velocity was available. 5) Quantitatively evaluation of concrete structure durability by past result of pore distribution estimation, and it can be estimative scale of property study on the concrete materials.

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Design of High-Performance ME/MC IP for Video SoC (Video SoC를 위한 고성능 ME/MC IP의 설계)

  • Seo, Young-Ho;Choi, Hyun-Jun;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.9
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    • pp.1605-1614
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    • 2008
  • This paper proposed a new VLSI architecture of motion estimation (ME) and compensation (MC) for efficient video compression and implemented it to hardware. ME is generally calculated using SAD result. So we proposed a new arithmetic method for SAD. The proposed SAD calculation method increases arithmetic efficiency and decreases external memory usage. Finally it increases performance of ME/MC. The proposed ME/MC hardware was implemented to ASIC with TSMC 90nm HVT CMOS library. The implemented hardware occupies about 330K gates and stably operates the clock frequency of 143MHz.

Hazard-Consistent Ground Displacement Estimation for Seismic Input of Underground Utility Tunnels in Korea (국내 재해도에 상응하는 공동구의 지반변위 산정)

  • Kim, Dae-Hwan;Lim, Youngwoo;Chung, Yon-Ha;Lee, Hyerin
    • Journal of the Korean Geotechnical Society
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    • v.37 no.12
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    • pp.7-23
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    • 2021
  • Underground utility tunnels, which contribute to supply of electricity, communication, water and heat, are critical lifelines of an urban area. In case service is discontinued or functional disruption happens, there will be a huge socio-economic impact. For the improved seismic design and evaluation of underground structures, this study proposes a ground displacement measure when the site is subjected to a scenario earthquake based on hazard-consistent source spectra and site amplification/attenuation. This measure provides a rational estimation of ground displacement and can be an alternative to existing response displacement methods.

Application of Artificial Neural Network Reliable to Estimation Rigidity Index of Korean Soft Clay (국내 연약지반의 신뢰성 있는 강성지수 추정을 위한 인공신경망 이론의 적용)

  • Kim, Young Uk;Kim, Young Sang;Goo, Nam Sil;Park, Ji Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.6C
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    • pp.421-429
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    • 2006
  • This study was undertaken to develop an analysis model representing a reliable estimation of rigidity of Korean soft clay using an artificial neural network (ANN). Data for the model development were obtained through a laboratory study, and were used for training and verification. The coefficient of correlation between the measured and predicted data using the developed model was relatively high. It demonstrates the potential application of ANN for the reliable estimation of Korean soft clay rigidity while past attempts at building such a mathematical model have proved difficult.

Development of Weight Estimation Equations and Weight Tables for Larix kaempferi and Pinus rigida Stand (일본잎갈나무와 리기다소나무의 중량추정식 및 중량표 개발)

  • Jintaek Kang;Chiung Ko;Jeongmuk Park;Jongsu Yim;Sun-Jeong Lee;Myoungsoo Won
    • Journal of Korean Society of Forest Science
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    • v.112 no.4
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    • pp.472-489
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    • 2023
  • This study was conducted to derive the optimal estimation equations for deriving the green and dry weights of Larix kaempferi (Japanese larch) and Pinus rigida (Rigida pine), which are major coniferous tree species in South Korea. The equations were then used to develop weight tables. Table development began with the sampling of 150 L. kaempferi and 90 P. rigida trees distributed throughout the national scale, after which green weights were measured on-site. Samples from each stand were then collected, and their dry weights were measured in a laboratory. The equation used to calculate green and dry weights was divided into a one-variable formula that uses only the diameter at breast height (DBH) and a two-variable equation that employs DBH and height. The equations used to estimate the green and dry weights of logs were divided into one- and two-variable equations using DBH. Statistical data, such as the fitness index (FI), root mean square error, standard error of estimation, and residual diagram, were used to verify the suitability of the estimation equations. Applicability was examined by calculating weights using the derived optimal equations. The equation W = bD+cD2 was used in measurements involving only DBH, whereas the equation W = aDbHc was employed in cases involving both diameter and height at breast height. The FI of W = bD+cD2 was 0.91, while that of W = aDbHc was 0.95, both of which are high values. With these estimation formulas, weight tables for the green and dry weights of L. kaempferi and P. rigida were prepared and compared with weight tables created 20 years ago. The green and dry weight tables of both species were larger.