• Investigative Magnetic Resonance Imaging
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• 제20권4호
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• pp.215-223
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• 2016

Purpose: The management of metal-induced field inhomogeneities is one of the major concerns of distortion-free magnetic resonance images near metallic implants. The recently proposed method called "Slice Encoding for Metal Artifact Correction (SEMAC)" is an effective spin echo pulse sequence of magnetic resonance imaging (MRI) near metallic implants. However, as SEMAC uses the noisy resolved data elements, SEMAC images can have a major problem for improving the signal-to-noise ratio (SNR) without compromising the correction of metal artifacts. To address that issue, this paper presents a novel reconstruction technique for providing an improvement of the SNR in SEMAC images without sacrificing the correction of metal artifacts. Materials and Methods: Low-rank approximation in each coil image is first performed to suppress the noise in the slice direction, because the signal is highly correlated between SEMAC-encoded slices. Secondly, SEMAC images are reconstructed by the best linear unbiased estimator (BLUE), also known as Gauss-Markov or weighted least squares. Noise levels and correlation in the receiver channels are considered for the sake of SNR optimization. To this end, since distorted excitation profiles are sparse, $l_1$ minimization performs well in recovering the sparse distorted excitation profiles and the sparse modeling of our approach offers excellent correction of metal-induced distortions. Results: Three images reconstructed using SEMAC, SEMAC with the conventional two-step noise reduction, and the proposed image denoising for metal MRI exploiting sparsity and low rank approximation algorithm were compared. The proposed algorithm outperformed two methods and produced 119% SNR better than SEMAC and 89% SNR better than SEMAC with the conventional two-step noise reduction. Conclusion: We successfully demonstrated that the proposed, novel algorithm for SEMAC, if compared with conventional de-noising methods, substantially improves SNR and reduces artifacts.

• 전자공학회논문지SC
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• 제46권6호
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• pp.65-72
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• 2009

본 논문에서는 하나의 영상에서 모서리의 유형을 이용하여 실내 환경을 주행하는 로봇의 자기위치 검출방법을 제안한다. 먼저 실내공간이 가지는 기하학적 특징을 이용하여 영상 내의 평면과 벽면이 이루는 모서리의 유형과 위치와 2-D 지도 내의 코너들과의 상응관계를 분석한다. 입력된 영상에서 수직선 특징을 찾기 위한 알고리즘을 이용하여 모서리의 위치를 찾고 모서리 점의 가지를 검출하여 모서리 유형을 추정하고, 발견적 방법에 의해 영상에 나타난 모서리와 2-D 지도의 코너와의 상응관계를 찾는다. 상응된 점들로부터 원근 변환과 최소 좌승법으로 유도된 비선형 방정식의 해를 풀어서 카메라의 자기위치를 추정한다. 실험에서는 제안한 방법을 실제 복도공간을 대상으로 모서리 유형을 이용한 자기위치 검출 방법을 적용한 결과를 분석하여 제안한 방법의 유용성을 보인다.

• 전기학회논문지
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• 제66권7호
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• pp.1131-1140
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• 2017

This study is concerned with a design methodology of optimized fuzzy clustering-based neural network classifier for classifying black plastic. Since the amount of waste plastic is increased every year, the technique for recycling waste plastic is getting more attention. The proposed classifier is on a basis of architecture of radial basis function neural network. The hidden layer of the proposed classifier is composed to FCM clustering instead of activation functions, while connection weights are formed as the linear functions and their coefficients are estimated by the local least squares estimator (LLSE)-based learning. Because the raw dataset collected from Raman spectroscopy include high-dimensional variables over about three thousands, principal component analysis(PCA) is applied for the dimensional reduction. In addition, artificial bee colony(ABC), which is one of the evolutionary algorithm, is used in order to identify the architecture and parameters of the proposed network. In experiment, the proposed classifier sorts the three kinds of plastics which is the most largely discharged in the real world. The effectiveness of the proposed classifier is proved through a comparison of performance between dataset obtained from chemical analysis and entire dataset extracted directly from Raman spectroscopy.

• 한국포장학회지
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• 제19권1호
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• pp.51-56
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• 2013

본 실험에서는 청과물의 포장 완충재로 사용되고 있는 골판지의 압축 및 충격특성을 이용하여 완충곡선(peak acceleration - static stress curve)을 구현하기 위한 알고리즘을 제시하였다. 본 연구에서 알 수 있듯이 한 개의 동적계수로도 완충곡선을 구현할 수 있음을 알 수가 있었으며, 기존의 완충곡선의 구현시 정적응력 범위 내에서의 실험횟수를 현저하게 줄일 수 있음을 알 수가 있었다. 또한, 골판지 완충재료 외에 플라스틱 발포체 완충재료에도 적용이 가능할 것으로 판단되었다.

• 대한원격탐사학회지
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• 제19권6호
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• pp.431-445
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• 2003

본 연구에서는 사진측량 관점에서 4S-Van 영상을 이용한 3차원 위치결정의 정밀도를 실험적으로 검증하였다. 실외에 3차원 검정타겟을 설치하고 45-Van에 탑재된 2대의 CCD카메라로부터 검정타겟 영상을 개별적으로 취득하여 자체검정기법으로 각각의 CCD카메라에 대한 내부표정요소를 개별적으로 정확하게 결정하였다. 이와 같이 얻어진 내부표정요소와 검정타겟의 지상좌표 및 검정타겟을 동시에 촬영한 좌ㆍ우측 카메라의 영상좌표를 이용하여 광속조정법으로 2대 CCD카메라의 외부표정요소를 동시에 결정하였다. 또한, 렌즈왜곡이 고려된 에피폴라선을 이용하기 위하여 역렌즈왜곡계수를 최소제곱법을 이용하여 결정하였다. 역렌즈왜곡계수를 이용하여 약 0.5 pixel 이내로 렌즈왜곡이 포함된 영상좌표로 변환이 가능하였다. 렌즈왜곡이 고려된 에피폴라선을 이용한 반자동 영상매칭을 적용하여 3차원 위치결정의 정밀도를 검증하였다. 실험적으로 촬영거리 20m이내에서는 대략2cm 정도의 정밀도를 얻을 수 있었다.

• 지구물리와물리탐사
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• 제8권1호
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• pp.97-103
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• 2005

여러 센서들의 배열을 이용한 최근의 해양 자력구배 측정시스템의 개발을 통하여 넓은 오염지역의 조사를 빠르게 수행할 수 있게 되었다. 그러나 물밑의 UXO 는 조류에 의해 이동할 수 있으며 따라서 이런 환경에서의 복원과정은 정적이라기 보다는 동적이 되었다. 이는 곧 성공적인 복원을 위해서는 탐지가 거의 실시간으로 이루어져야 함을 말한다. 그러므로 해양 자력탐사자료로부터 물밑 물체의 신호를 빠르게 탐지할 수 있는 신속한 해석법이 필요하다. 이 논문에서는 물밑 UXO 의 위치 및 특성을 알아내는 신속한 방법을 소개하였다. 먼저 대상체의 정밀 탐지를 위해 자력구배자료의 해석기법(해석적 신호와 Euler 방법)을 이용하며, 반복적 선형 최소자승법을 이용해 대상체의 자기 특성을 얻어낸다. 이 방법은 알고 있는 대상체에 대해 무작위 잡음을 더한 이론적 해양 자력이상에 적용되었으며, 일본의 해양 자력구배탐사 자료를 이용하여 실질적인 유용성을 예시하였다.

• 한국IT서비스학회지
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• 제20권4호
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• pp.95-111
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• 2021

Recently, many organizations are actively adopting VDI (Virtual Desktop Infrastructure), an IT-based business system, to build a non-face-to-face business environment for smart-work. However, most of the existing research on VDI has focused on the satisfaction of system service quality or the use of IT resources and investment for VDI introduction. However, research on effective management and utilization of factors according to the characteristics of VDI technology is urgently required. This study is an empirical research study on how VDI technology characteristics affect interactions and work performance by identifying differences in utilization factors between general organization members and IT managers, presenting standards for business utilization and management. This study proposed a model and hypothesis that the system technology characteristics for VDI use are mediated by interactions in which users respond to functions appropriate to their work. In order to verify the hypothesis, a questionnaire survey was conducted on 188 people of companies and institutions that have adopted and used VDI through a questionnaire survey. Data analysis was performed with partial least squares (PLS), a structural equation modeling (SEM) technique that uses a component-based approach to estimation. As a result of the empirical analysis, the same environmental function for performing work, N-th security, and remote access function factors for non-face-to-face work have a significant effect on interactivity, and IT managers have an additional significant effect on the management technology characteristics of resource reallocation. Has been shown to affect. The results of this study aim to minimize trial and error due to new introduction by presenting considerations for future VDI introduction through case analysis.

• 농업과학연구
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• 제46권2호
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• pp.257-271
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• 2019

The use of food grade hexane (FGH) for edible oil extraction is responsible for the presence of benzene in the crude oil. Benzene is a Group 1 carcinogen and could pose a serious threat to the health of consumer. However, its detection still depends on classical methods using chromatography which requires a rapid non-destructive detection method. Hence, the aim of this study was to investigate the feasibility of using Fourier transform infrared (FTIR) spectroscopy combined with multivariate analysis to detect and quantify the benzene residue in edible oil (sesame and cottonseed oil). Oil samples were adulterated with varying quantities of benzene, and their FTIR spectra were acquired with an attenuated total reflectance (ATR) method. Optimal variables for a partial least-squares regression (PLSR) model were selected using the variable importance in projection (VIP) and the selectivity ratio (SR) methods. The developed PLS models with whole variables and the VIP- and SR-selected variables were validated against an independent data set which resulted in $R^2$ values of 0.95, 0.96, and 0.95 and standard error of prediction (SEP) values of 38.5, 33.7, and 41.7 mg/L, respectively. The proposed technique of FTIR combined with multivariate analysis and variable selection methods can detect benzene residuals in edible oils with the advantages of being fast and simple and thus, can replace the conventional methods used for the same purpose.

• Journal of Preventive Medicine and Public Health
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• 제54권6호
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• pp.431-440
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• 2021

Objectives: The aim of this study was to predict rabies protective behaviors (RPB) based on protection motivation theory (PMT) among fourth-grade students at schools in Chonburi Province, Thailand. Methods: This cross-sectional study was conducted from December 2020 to February 2021. A multistage sampling technique was used for sample selection. The questionnaire was divided into socio-demographic data and questions related to PMT and RPB. Descriptive statistical analysis was conducted using the EpiData program and inferential statistics, and the results were tested using the partial least squares model with a significance level of less than 5%. Results: In total, 287 subjects were included, of whom 62.4% were girls and 40.4% reported that YouTube was their favorite media platform. Most participants had good perceived vulnerability, response efficacy, and self efficacy levels related to rabies (43.9, 68.6, and 73.2%, respectively). However, 54.5% had only fair perceived severity levels related to rabies. Significant positive correlations were found between RPB and the PMT constructs related to rabies (β, 0.298; p<0.001), and the school variable (S4) was also a predictor of RPB (β, -0.228; p<0.001). Among the PMT constructs, self efficacy was the strongest predictor of RPB (β, 0.741; p<0.001). Conclusions: PMT is a useful framework for predicting RPB. Future RPB or prevention/protection intervention studies based on PMT should focus on improving self efficacy and response efficacy, with a particular focus on teaching students not to intervene with fighting animals. The most influential PMT constructs can be used for designing tools and implementing and evaluating future educational interventions to prevent rabies in children.

• Structural Engineering and Mechanics
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• 제85권2호
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• pp.197-206
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• 2023

The deterioration caused by chloride penetration and carbonation plays a significant role in a concrete structure in a marine environment. The chloride corrosion in some marine concrete structures is invisible but can be dangerous in a sudden collapse. Therefore, as a novelty, this research investigates the ability of a non-destructive damage detection method named the Power Spectral Density (PSD) to diagnose damages caused only by chloride ions in concrete structures. Furthermore, the accuracy of this method in estimating the amount of annual damage caused by chloride in various parts and positions exposed to seawater was investigated. For this purpose, the RC Arosa bridge in Spain, which connects the island to the mainland via seawater, was numerically modeled and analyzed. As the first step, each element's bridge position was calculated, along with the chloride corrosion percentage in the reinforcements. The next step predicted the existence, location, and timing of damage to the entire concrete part of the bridge based on the amount of rebar corrosion each year. The PSD method was used to monitor the annual loss of reinforcement cross-section area, changes in dynamic characteristics such as stiffness and mass, and each year of the bridge structure's life using sensitivity equations and the linear least squares algorithm. This study showed that using different approaches to the PSD method based on rebar chloride corrosion and assuming 10% errors in software analysis can help predict the location and almost exact amount of damage zones over time.