• 제목/요약/키워드: Compressive Receiver

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NDT Determination of Cement Mortar Compressive Strength Using SASW Technique

  • Cho, Young-Sang
    • KCI Concrete Journal
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    • 제13권2호
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    • pp.10-18
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    • 2001
  • The spectral analysis of surface waves (SASW) method, which is an in-situ seismic technique, has mainly been developed and used for many years to determine the stiffness profile of layered media (such as asphalt concrete and layered soils) in an infinite half-space. This paper presents a modified experimental technique for nondestructive evaluation of in-place cement mortar compressive strength in single-layer concrete slabs of rather a finite thickness through a correlation to surface wave velocity. This correlation can be used in the quality control of early age cement mortar structures and in evaluating the integrity of structural members where the infinite half space condition is not met. In the proposed SASW field test, the surface of the structural members is subjected to an impact, using a 12 mm steel ball, to generate surface wave energy at various frequencies. Two accelerometer receivers detect the energy transmitted through the medium. By digitizing the analog receiver outputs, and recording the signals for spectral analysis, surface wave velocities can be identified. Modifications to the SASW method includes the reduction of boundary reflections as adopted on the surface waves before the point where the reflected compression waves reach the receivers. In this study, the correlation between the surface wave velocity and the compressive strength of cement mortar is developed using one 36"x36"x4"(91.44$\times$91.44$\times$91.44 cm) cement mortar slab of 2,000 psi (140 kgf/$\textrm{cm}^2$) and two 36"x36"x4"(91.44$\times$91.44$\times$91.44 cm) cement mortar slabs of 3,000 psi (210 kgf/$\textrm{cm}^2$).

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절취사면의 암질평가사례 (Case Study of Rock Mass Classifications in Slopes)

  • 신희순;한공창;선우춘;송원경;신중호;박찬
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2000년도 봄 학술발표회 논문집
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    • pp.109-116
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    • 2000
  • Rippability refers to the ease of excavation by construction equipment. Since it is related to rock quality in terms of hardness and fracture density, which may be measured by seismic refraction surveys, correlations have been made between rippability and seismic P wave velocities. The 1-channel signal enhancement seismograph(Bison, Model 1570C) was used to measure travel time of the seismic wave through the ground, from the source to the receiver. The seismic velocity measurement was conducted with 153 lines at 5 rock slopes of Chungbuk Youngdong area. Schmidt rebound hardness test were conducted with 161 points on rock masses and the point load test also on 284 rock samples. The uniaxial compressive strength and seismic wave velocity of 60 rock specimens were measured in laboratory. These data were used to evaluate the rock quality of 5 rock slopes.

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컨텐츠 스트리밍 데이터의 전송효율 증대를 위한 압축센싱기반 전송채널 대역폭 절감기술 연구 (Improvement of Bandwidth Efficiency for High Transmission Capacity of Contents Streaming Data using Compressive Sensing Technique)

  • 정의석;이용태;한상국
    • 한국산학기술학회논문지
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    • 제16권3호
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    • pp.2141-2145
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    • 2015
  • 본 논문에서는, 압축센싱 기법을 이용하여, 방송 네트워크 시스템의 멀티미디어 신호 전송 대역폭 효율성을 극대화할 수 있는 기법을 제안하였다. 멀티미디어 이미지의 sparisity를 높이기 위해서 2차원 이산 웨이블렛 변환 기법을 적용하는 샘플링 기법과, orthogonal matching pursuit기반 L1 최소화기법을 이용하여 복원하는 기법을 본 논문에서 제안하였다. 다양한 멀티미디어 신호가 압축센싱 기술에 의해 압축되어지기 때문에, 다양한 멀티미디어 데이터가 전송 시 점유하는 대역폭을 감소시킬 수 있다. 10Gs/s로 샘플링 되어진, 20% 압축률을 갖는 $256{\times}256$ 흑백스케일 이미지가 20km 광전송되어진 후에, Sparse한 방송신호를 복원하는, L1 최소화 기법을 이용하여 복원되었다(비트 에러오류율: $10^{-12}$).

Deep learning method for compressive strength prediction for lightweight concrete

  • Yaser A. Nanehkaran;Mohammad Azarafza;Tolga Pusatli;Masoud Hajialilue Bonab;Arash Esmatkhah Irani;Mehdi Kouhdarag;Junde Chen;Reza Derakhshani
    • Computers and Concrete
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    • 제32권3호
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    • pp.327-337
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    • 2023
  • Concrete is the most widely used building material, with various types including high- and ultra-high-strength, reinforced, normal, and lightweight concretes. However, accurately predicting concrete properties is challenging due to the geotechnical design code's requirement for specific characteristics. To overcome this issue, researchers have turned to new technologies like machine learning to develop proper methodologies for concrete specification. In this study, we propose a highly accurate deep learning-based predictive model to investigate the compressive strength (UCS) of lightweight concrete with natural aggregates (pumice). Our model was implemented on a database containing 249 experimental records and revealed that water, cement, water-cement ratio, fine-coarse aggregate, aggregate substitution rate, fine aggregate replacement, and superplasticizer are the most influential covariates on UCS. To validate our model, we trained and tested it on random subsets of the database, and its performance was evaluated using a confusion matrix and receiver operating characteristic (ROC) overall accuracy. The proposed model was compared with widely known machine learning methods such as MLP, SVM, and DT classifiers to assess its capability. In addition, the model was tested on 25 laboratory UCS tests to evaluate its predictability. Our findings showed that the proposed model achieved the highest accuracy (accuracy=0.97, precision=0.97) and the lowest error rate with a high learning rate (R2=0.914), as confirmed by ROC (AUC=0.971), which is higher than other classifiers. Therefore, the proposed method demonstrates a high level of performance and capability for UCS predictions.

Non-Iterative Threshold based Recovery Algorithm (NITRA) for Compressively Sensed Images and Videos

  • Poovathy, J. Florence Gnana;Radha, S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권10호
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    • pp.4160-4176
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    • 2015
  • Data compression like image and video compression has come a long way since the introduction of Compressive Sensing (CS) which compresses sparse signals such as images, videos etc. to very few samples i.e. M < N measurements. At the receiver end, a robust and efficient recovery algorithm estimates the original image or video. Many prominent algorithms solve least squares problem (LSP) iteratively in order to reconstruct the signal hence consuming more processing time. In this paper non-iterative threshold based recovery algorithm (NITRA) is proposed for the recovery of images and videos without solving LSP, claiming reduced complexity and better reconstruction quality. The elapsed time for images and videos using NITRA is in ㎲ range which is 100 times less than other existing algorithms. The peak signal to noise ratio (PSNR) is above 30 dB, structural similarity (SSIM) and structural content (SC) are of 99%.

초음파 영상 장치에서 직교 쳐프 신호를 이용한 동시 다중 송신집속 기법 (Simultaneous Multiple Transmit Focusing Method with Orthogonal Chirp Signal for Ultrasound Imaging System)

  • 정영관;송태경
    • 대한의용생체공학회:의공학회지
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    • 제23권1호
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    • pp.49-60
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    • 2002
  • 본 논문에서는 프레임율의 저하없이 개선된 해상도를 얻을 수 있는 동시 다중 송신집속 기법을 제안한다. 제안한 기법은 짧은 펄스를 사용하여 한 영역에 고정 송신 집속하는 기존의 방법과는 달리 여러 송신 집속점에 서로 독립적으로 집속된 쳐프 신호들을 동시에 송신한다. 수신된 신호는 정합 과정을 통하여 송신 집속 위치에 따라 각 쳐프 신호로 분리되고 짧은 펄스로 압축된다. 이렇게 압축되고 분리된 신호들은 각각 수신 동적 집속된 후 거리에 따라 집속 위치별로 선택되고 하나의 신호로 결합되어 개선된 측방향 해상도의 영상을 구성한다. 송신시 동시에 여러 위치에 초음파를 집속하고 수신시 이를 분리하기 위해서 사용된 터프 신호들은 주파수 대역에서 분할되어 서로 직교 특성을 갖도록 설계되었는데 변환자의 제한된 대역폭내에 많은 수의 의미있는 쳐프 신호를 설계하기 위해서 인접한 두 쳐프 신호의 주파수 대역 겹침을 허용하였다. 이때 대역 겹침으로 발생한 상호상관값의 상승을 억제하기 위해 인접한 두 쳐프 신호의 주파수 변화 방향을 엇갈리게 하는 밥법을 제안하였다. 특히 대역분할로 설계된 쳐프 신호중 낮은 주파수 성분의 신호를 변환자로부터 가까운 지역에 집속하고 높은 주파수 성분의 쳐프 신호를 먼 지역에 집속함으로써 깊이에 따라 영상의 해상도의 질을 일정하게 유지시켰다 더욱이 상관기를 이용한 정합 과정에서 신호가 압축되기 때문에 펄스 압축 기법에서 얻는 SNR를 증가시키는 이점이 있다 이때 상관기를 통한 압축 과정에서 쳐프 신호의 첨두값이 쳐프 신호의 길이에 따라 증가하기 때문에 깊이에 따를 높은 주파수 성분의 감쇄에도 불구하고 이렇게 높은 주파수 성분의 터프 신호를 깊은 지역에 사용할 수 있었다. 제안한 동시 다중 송신집속 기반의 시스템을 상관기의 위치에 따라 이상적인 구조와 현실적인 구조로 나타냈으며, 모사 실험을 통하여 기존의 펄스 집속 기법과 비교하여 그 성능을 검증하였다.hrough the medium. By digitizing the analog receiver outputs, and recording the signals for spectral analysis, surface wave velocities can be identified. Modifications to the SASW method includes the reduction of boundary reflections as adopted on the surface waves before the point where the reflected compression waves reach the receivers. In this study, the correlation between the surface wave velocity and the compressive strength of cement mortar is developed using one 36"x36"x4"(91.44$\times$91.44$\times$91.44 cm) cement mortar slab of 2,000 psi (140 kgf/$\textrm{cm}^2$) and two 36"x36"x4"(91.44$\times$91.44$\times$91.44 cm) cement mortar slabs of 3,000 psi (210 kgf/$\textrm{cm}^2$). public transportation, and availability of locally grown food were the important factors for deciding the place compared to those who had higher education. The price was the factor which