• 제목/요약/키워드: Fine estimation

검색결과 249건 처리시간 0.026초

Hierarchical Age Estimation based on Dynamic Grouping and OHRank

  • Zhang, Li;Wang, Xianmei;Liang, Yuyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권7호
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    • pp.2480-2495
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    • 2014
  • This paper describes a hierarchical method for image-based age estimation that combines age group classification and age value estimation. The proposed method uses a coarse-to-fine strategy with different appearance features to describe facial shape and texture. Considering the damage to continuity between neighboring groups caused by fixed divisions during age group classification, a dynamic grouping technique is employed to allow non-fixed groups. Based on the given group, an ordinal hyperplane ranking (OHRank) model is employed to transform age estimation into a series of binary enquiry problems that can take advantage of the intrinsic correlation and ordinal information of age. A set of experiments on FG-NET are presented and the results demonstrate the validity of our solution.

Micro X-ray CT 촬영을 통한 세립 점성토의 간극비 추정 방법 연구 (Study on a methodology for estimation of void ratio of very fine clayey soil by using micro X-ray CT scan)

  • 허성준;김광염;권영철;김홍택;신휴성
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2010년도 추계 학술발표회
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    • pp.392-403
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    • 2010
  • In this study, a new methodology by using the X-ray CT scan is proposed for estimating void ratio of very fine clayey soil. Since the particle size of the clay is too fine to calculate the volume of void inside the clays, CT scanning tests with a number of clay specimens that were artificially set to have various designated void ratios have been carried out. From the tests, a relationship between the CT values and void ratios is given to be used for estimating the invisible void ratio of very fine clay from a representative CT value scanned. The linear relationship was able to be acquired finally. It is expected that micro X-ray CT scanning can be capable of capturing the void ratio of very fine soils without any errors inherent in the conventional specific gravity tests.

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Weibull분포(分布)를 응용(應用)한 임학연구(林學硏究) (I) - 직경분포(直徑分布)의 추정(推定) - (Studies on the Application of Weibull Distribution in Forestry (I) - Estimation of Diameter Distribution -)

  • 윤종화
    • 한국산림과학회지
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    • 제59권1호
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    • pp.46-50
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    • 1983
  • Weibull 분포(分布)에 의(依)하여 임분(林分)의 직경분포(直徑分布)를 추정(推定)하여 그 적합성(適合性)을 Kolomogorov-Smirnov법(法)에 의하여 검정(檢定)한 결과(結果) 매우 잘 적합(適合)함을 나타내었다.

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잔골재 및 혼화재 종류에 따른 콘크리트의 폭열 성상에 관한 실험적 연구 (An Experimental study on Explosive spalling of Concrete According to Kinds of Fine Aggregate and Admixture)

  • 장재봉;김갑수;김재환;김용로;권영진;김무한
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2003년도 가을 학술발표회 논문집
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    • pp.667-670
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    • 2003
  • The purpose of this study is to present data for the reusing, reinforcement and estimation of safety of the RC structure damaged by fire, and for the prevention of explosive spalling by checking the character of explosive spalling according to kinds of fine aggregate, admixture and water-cement ratios. The materials used fine aggregates were sea sand, crushed sand and recycled sand, and the admixtures were fly ash and blast-furnace slag. Also the water-cement ratios was 55% and 30.5%. After those were heated respectively for 30 and 60 minutes in accordance with Standard Time-Temperature Curve. And then conditions of explosive spalling were divided into five grades, and characters of explosive spalling were investigated.

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Pose Estimation with Binarized Multi-Scale Module

  • Choi, Yong-Gyun;Lee, Sukho
    • International journal of advanced smart convergence
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    • 제7권2호
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    • pp.95-100
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    • 2018
  • In this paper, we propose a binarized multi-scale module to accelerate the speed of the pose estimating deep neural network. Recently, deep learning is also used for fine-tuned tasks such as pose estimation. One of the best performing pose estimation methods is based on the usage of two neural networks where one computes the heat maps of the body parts and the other computes the part affinity fields between the body parts. However, the convolution filtering with a large kernel filter takes much time in this model. To accelerate the speed in this model, we propose to change the large kernel filters with binarized multi-scale modules. The large receptive field is captured by the multi-scale structure which also prevents the dropdown of the accuracy in the binarized module. The computation cost and number of parameters becomes small which results in increased speed performance.

A Joint Timing Synchronization, Channel Estimation, and SFD Detection for IR-UWB Systems

  • Kwon, Soonkoo;Lee, Seongjoo;Kim, Jaeseok
    • Journal of Communications and Networks
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    • 제14권5호
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    • pp.501-509
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    • 2012
  • This paper proposes a joint timing synchronization, channel estimation, and data detection for the impulse radio ultra-wideband systems. The proposed timing synchronizer consists of coarse and fine timing estimation. The synchronizer discovers synchronization points in two stages and performs adaptive threshold based on the maximum pulse averaging and maximum (MAX-PA) method for more precise synchronization. Then, iterative channel estimation is performed based on the discovered synchronization points, and data are detected using the selective rake (S-RAKE) detector employing maximal ratio combining. The proposed synchronizer produces two signals-the start signal for channel estimation and the start signal for start frame delimiter (SFD) detection that detects the packet synchronization signal. With the proposed synchronization, channel estimation, and SFD detection, an S-RAKE receiver with binary pulse position modulation binary phase-shift keying modulation was constructed. In addition, an IEEE 802.15.4a channel model was used for performance comparison. The comparison results show that the constructed receiver yields high performance close to perfect synchronization.

Antiblurry Dejitter Image Stabilization Method of Fuzzy Video for Driving Recorders

  • Xiong, Jing-Ying;Dai, Ming;Zhao, Chun-Lei;Wang, Ruo-Qiu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.3086-3103
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    • 2017
  • Video images captured by vehicle cameras often contain blurry or dithering frames due to inadvertent motion from bumps in the road or by insufficient illumination during the morning or evening, which greatly reduces the perception of objects expression and recognition from the records. Therefore, a real-time electronic stabilization method to correct fuzzy video from driving recorders has been proposed. In the first stage of feature detection, a coarse-to-fine inspection policy and a scale nonlinear diffusion filter are proposed to provide more accurate keypoints. Second, a new antiblurry binary descriptor and a feature point selection strategy for unintentional estimation are proposed, which brought more discriminative power. In addition, a new evaluation criterion for affine region detectors is presented based on the percentage interval of repeatability. The experiments show that the proposed method exhibits improvement in detecting blurry corner points. Moreover, it improves the performance of the algorithm and guarantees high processing speed at the same time.

서해안 갯벌 점착성 퇴적물 침강속도 곡선식의 재검토 (Re-estimation of Settling Velocity Profile Equations for Muddy Cohesive Sediments in West Coasts)

  • 황규남
    • 한국해양환경ㆍ에너지학회지
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    • 제5권1호
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    • pp.3-10
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    • 2002
  • 미세점착성 퇴적물 침강속도의 정량적 산정은 퇴적학적 측면에서뿐만 아니라 환경공학적 측면에서도 매우 중요한 과제이다. 미세점착성 퇴적물의 침강특성은 입자간의 충돌과 입자간의 점착으로 인하여 발생하는 응집에 의해 크게 영향을 받는다. 한편, 미세점착성 퇴적물의 응집강도는 광물질 구성, 입경분포, 유기물 함량 등으로 묘사되는 퇴적물의 물리ㆍ화학적 기본 특성에 따라 크게 변화하고, 이러한 물리ㆍ화학적 기본특성은 또한 지역적으로 변화하므로, 한 특정지역에서의 점착성 퇴적물의 침강특성은 현장관측이나 실내실험을 통하여 관측되어야만 한다. 본 연구에서는 최근 수행된 새만금 및 군산해역 점착성 퇴적물의 침강속도 관측 결과를 이용하여, 기존의 침강속도 경험식을 검토하고, 새로운 침강속도 곡선식이 개발된다. 새로 개발된 침강속도 곡선식은 기존의 복잡한 곡선식에 비해 단순하며, 측정치로부터의 계수산정이 편리하고, 또한 측정치의 변화 경향을 더욱 잘 나타낸다.

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다중해상도 영상을 이용한 동영상 압축 (Video coding using multi-resolution image)

  • 배성호;박길흠
    • 전자공학회논문지S
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    • 제34S권2호
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    • pp.33-42
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    • 1997
  • In this paper, a video coding method in wavelet transformed multi-resolution image using variable block sized motion estimation and multi-codebook is proposed. In the propoed method, the accuracy of motion estimation is increased by using variable block matching algorithm based on edge type of blocks which estimation is increased by using variable block matching algoritm based on edge type of blocks which is classified accoridng to the magnitude of wavelet coefficients in vertical subband and horizontal subband of the highest layer. Also, we increased the flexibility of bit allocation and decreased vector quantization error for motion compensated error transmission by using importance of each subband. Some experimental results confirm that he proposed mothod has fine reconstructed images without blocking effect at low bit rate, and especially reconstructs edges well to which human eyes are sensitive.

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