• 전자공학회지
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• 제38권1호
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• pp.19-30
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• 2011

최근에는 Compressive Sensing (CS)이라는 새로운 연구분야가 학계에서 많은 관심을 받고 있다. 이 분야는 2006년이후 신호처리 및 정보이론 학회를 중심으로 매우 빠르게 성장해 왔는데, 현재는 정보통신, 이메징, 센서 및 인스트루멘테이션 등 유관 분야로 영향력을 넓혀 가고 있다. 우리는 이러한 흐름의 원인을 다음 두 가지로 본다. 그 하나는 CS가 장기간에 걸쳐 연구되어온 탄탄한 이론적 토대 위에 그 근거를 두고 있어서 많은 학자들의 관심을 끌고 있는 점이다. 두 번째는, CS가 제시하는 방향이 현재 대학 및 산업계에서 가르치고 또 행하고 있는 디지털 신호취득 방식을 근본적으로 바꿀 수 있게 할 정도로 커다란 그림을 가르치고 있다는 점이다. 이러한 때에, 본 논문은 CS가 과연 무엇인지와 그것이 제시하고 있는 궁극적 목표를 소개하고자 한다. 또 CS를 이해하는데 필수적인 몇가지 기술적인 요소를 설명하고자 한다.

• Advances in nano research
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• 제4권4호
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• pp.309-326
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• 2016

The buckling response of a single-layered graphene sheet (SLGS) embedded in visco-Pasternak's medium is presented. The nonlocal first-order shear deformation elasticity theory is used for this purpose. The visco-Pasternak's medium is considered by adding the damping effect to the usual foundation model which characterized by the linear Winkler's modulus and Pasternak's (shear) foundation modulus. The SLGS be subjected to distributive compressive in-plane edge forces per unit length. The governing equilibrium equations are obtained and solved for getting the critical buckling loads of simply-supported SLGSs. The effects of many parameters like nonlocal parameter, aspect ratio, Winkler-Pasternak's foundation, damping coefficient, and mode numbers on the buckling analysis of the SLGSs are investigated in detail. The present results are compared with the corresponding available in the literature. Additional results are tabulated and plotted for sensing the effect of all used parameters and to investigate the visco-Pasternak's parameters for future comparisons.

• Current Optics and Photonics
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• 제5권5호
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• pp.562-575
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• 2021

As a new type of spectrometer, that based on filters with different transmittance features attracts a lot of attention for its advantages such as small-size, low cost, and simple optical structure. It uses post-processing algorithms to achieve target spectrum reconstruction; therefore, the performance of the spectrometer is severely affected by noise. The influence of noise on the spectral reconstruction results is studied in this paper, and suggestions for solving the spectral reconstruction problem under noisy conditions are given. We first list different spectral reconstruction methods, and through simulations demonstrate that these methods show unsatisfactory performance under noisy conditions. Then we propose to apply the gradient projection for sparse reconstruction (GRSR) algorithm to the spectral reconstruction method. Simulation results show that the proposed method can significantly reduce the influence of noise on the spectral reconstruction process. Meanwhile, the accuracy of the spectral reconstruction results is dramatically improved. Therefore, the practicality of the filter-based spectrometer will be enhanced.

• Computers and Concrete
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• 제23권6호
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• pp.399-408
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• 2019

Structural health monitoring is important for the safety of lives and asset management. In this study, numerical models were developed for the piezoresistive behavior of smart concrete based on finite element (FE) method. Finite element models were calibrated with experimental data collected from compression test. The compression test was performed on smart concrete cube specimens with 75 mm dimensions. Smart concrete was made of cement CEM II 42.5 R, silica fume, fine and coarse crushed limestone aggregates, brass fibers and plasticizer. During the compression test, electrical resistance change and compressive strain measurements were conducted simultaneously. Smart concrete had a strong linear relationship between strain and electrical resistance change due to its piezoresistive function. The piezoresistivity of the smart concrete was modeled by FE method. Twenty-noded solid brick elements were used to model the smart concrete specimens in the finite element platform of Ansys. The numerical results were determined for strain induced resistivity change. The electrical resistivity of simulated smart concrete decreased with applied strain, as found in experimental investigation. The numerical findings are in good agreement with the experimental results.

• 한국산학기술학회논문지
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• 제22권5호
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• pp.81-88
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• 2021

최근 지진 빈도 증가로 구조물 건전도 모니터링 (SHM: Structural Health Monitoring, 이하 SHM) 시스템에 대한 관심이 증가하고 있다. Smart concrete는 전기-역학적 거동을 바탕으로 구조물 상태를 분석할 수 있는 기술이다. 하지만 콘크리트 구조물은 지진 시 정적 변형률 또는 하중 속도 보다 10배 이상 빠른 하중 속도가 작용하나 기존 연구 대부분은 정적 하중 속도에서의 감지 능력을 주로 조사하고 있다. 본 연구는 지진과 같이 높은 하중 속도에서 자가 응력감지 능력을 평가하기 위해 만능재료시험기 (UTM: Universal Testing Machine, 이하 UTM)를 사용하여 3가지 하중 재하 속도 (1, 4, 8 mm/min) 하에서 Smart Ultra High Performance Concrete (S-UHPC)의 전기-역학적 거동을 측정하였다. S-UHPC의 최대 압축 하중에서 Stress sensitive Coefficient (SC)는 1 mm/min 하중 속도 기준 -0.140%/MPa로 측정되었으나, 하중 속도가 각각 4, 8 mm/min으로 증가함에 따라 42.8 %, 72.7% 감소하였다. 전도성 재료의 변형 감소, 미세균열 증가로 인하여 S-UHPC의 감지능력이 하중속도 증가에 따라 감소하였지만, 그럼에도 불구하고 높은 하중 속도 하에서도 우수한 감지 성능을 보여 구조물 지진 하중 감지를 위한 SHM 시스템에 활용 가능함을 확인하였다.

• 한국지진공학회논문집
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• 제24권2호
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• pp.67-76
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• 2020

This study aims to optimize the cochlea-inspired artificial filter bank (CAFB) using El-Centro seismic waveforms and test its performance through a shaking table test on a two-span bridge model. In the process of optimizing the CAFB, El-Centro seismic waveforms were used for the purpose of evaluating how they would affect the optimizing process. Next, the optimized CAFB was embedded in the developed wireless-based intelligent data acquisition (IDAQ) system to enable response measurement in real-time. For its performance evaluation to obtain a seismic response in real-time using the optimized CAFB, a two-span bridge (model structures) was installed in a large shaking table, and a seismic response experiment was carried out on it with El-Centro seismic waveforms. The CAFB optimized in this experiment was able to obtain the seismic response in real-time by compressing it using the embedded wireless-based IDAQ system while the obtained compressed signals were compared with the original signal (un-compressed signal). The results of the experiment showed that the compressed signals were superior to the raw signal in response performance, as well as in data compression effect. They also proved that the CAFB was able to compress response signals effectively in real-time even under seismic conditions. Therefore, this paper established that the CAFB optimized by being embedded in the wireless-based IDAQ system was an economical and efficient data compression sensing technology for measuring and monitoring the seismic response in real-time from structures based on the wireless sensor networks (WSNs).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3498-3511
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• 2016

We investigate the channel state information (CSI) in multi-input multi-output (MIMO) cooperative networks that employ the amplify-and-forward transmission scheme. Least squares and expectation conditional maximization have been proposed in the system. However, neither of these two approaches takes advantage of channel sparsity, and they cause estimation performance loss. Unlike linear channel estimation methods, several compressed channel estimation methods are proposed in this study to exploit the sparsity of the MIMO cooperative channels based on the theory of compressed sensing. First, the channel estimation problem is formulated as a compressed sensing problem by using sparse decomposition theory. Second, the lower bound is derived for the estimation, and the MIMO relay channel is reconstructed via compressive sampling matching pursuit algorithms. Finally, based on this model, we propose a novel algorithm so called sparsity adaptive expectation maximization (SAEM) by using Kalman filter and expectation maximization algorithm so that it can exploit channel sparsity alternatively and also track the true support set of time-varying channel. Kalman filter is used to provide soft information of transmitted signals to the EM-based algorithm. Various numerical simulation results indicate that the proposed sparse channel estimation technique outperforms the previous estimation schemes.

• 대한공간정보학회지
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• 제12권3호
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• pp.61-67
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• 2004

위성영상과 항공사진 및 위성영상은 생태 및 환경의 현황을 감시하는 것에 효과적으로 활용된다. 따라서 이러한 영상데이터는 환경부의 다양한 행정실무에 유용하게 활용될 수 있을 것이다. 그러나 대부분의 영상데이터는 대용량 자료이므로 이를 네트워크를 통해 실무자에게 전달하는 것에 어려움이 있을 뿐만 아니라 이렇게 제공된 영상데이터를 영상처리에 관한 전문 지식이 없는 실무자들이 활용하는 것 또한 쉽지 않았다. 이에 본 연구에서는 영상압축전송과 웹기반 영상처리 기술을 채용한 대용량 영상자료 서비스 시스템을 구축하였다. 구축된 시스템은 실무자들로 하여금 관련된 모든 영상자료의 신속한 접근을 비롯하여 이 시스템에서 구현된 원격탐사 영상처리 GIS 기능을 통하여 간편한 활용을 가능하게 한다. 구축된 시스템은 실무자들의 의사결정 과정에 적극 활용되어 다양한 행정과정에서 자료분석에 필요한 자원을 크게 절감할 수 있었다.

• 한국음향학회지
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• 제38권5호
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• pp.543-548
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• 2019

수중 표적의 기어박스 및 보조 장치 등으로부터 방사되는 토널 신호의 주파수 성분은 처리하고자 하는 주파수 대역에 비해 상대적으로 적어 희소신호로 모델링될 수 있다. 근래에 토널 신호의 주파수 희소성을 이용하여 빠른 시간 내에 적은 수의 관측치로 토널 주파수를 복원하는 압축센싱 기반의 연구가 활발히 진행되고 있다. 기존의 방법들은 이산(discrete) 주파수 영역에서 주파수를 검출하기 때문에 이산화로 인한 basis mismatch error가 불가피하다. 본 논문에서는 atomic norm minimization을 이용하여 적은 수의 관측치로 연속(continuous) 주파수 영역에서 토널 주파수를 검출하는 기법을 제안한다. 모의실험을 통해 기존의 기법들에 비해 제안하는 기법의 성능이 정확성과 평균제곱오차 측면에서 우수함을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1224-1248
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• 2022

In various sensor network applications, such as climate observation organizations, sensor nodes need to collect information from time to time and pass it on to the recipient of information through multiple bounces. According to field tests, this information corresponds to most of the energy use of the sensor hub. Decreasing the measurement of information transmission in sensor networks becomes an important issue.Compression sensing (CS) can reduce the amount of information delivered to the network and reduce traffic load. However, the total number of classification of information delivered using pure CS is still enormous. The hybrid technique for utilizing CS was proposed to diminish the quantity of transmissions in sensor networks.Further the energy productivity is a test task for the sensor nodes. However, in previous studies, a clustering approach using hybrid CS for a sensor network and an explanatory model was used to investigate the relationship between beam size and number of transmissions of hybrid CS technology. It uses efficient data integration techniques for large networks, but leads to clone attacks or attacks. Here, a new algorithm called SBEA (Snowball Endurance Algorithm) was proposed and tested with a bow. Thus, you can extend the battery life of your WSN by running effective copy detection. Often, multiple nodes, called observers, are selected to verify the reliability of the nodes within the network. Personal data from the source centre (e.g. personality and geographical data) is provided to the observer at the optional witness stage. The trust and reputation system is used to find the reliability of data aggregation across the cluster head and cluster nodes. It is also possible to obtain a mechanism to perform sleep and standby procedures to improve the life of the sensor node. The sniffers have been implemented to monitor the energy of the sensor nodes periodically in the sink. The proposed algorithm SBEA (Snowball Endurance Algorithm) is a combination of ERCD protocol and a combined mobility and routing algorithm that can identify the cluster head and adjacent cluster head nodes.This algorithm is used to yield the network life time and the performance of the sensor nodes can be increased.