• Smart Structures and Systems
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• 제16권1호
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• pp.67-79
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• 2015

Acoustic emission analysis is an effective technique for monitoring the evolution of damage in a structure. An experimental analysis on a set of reinforced concrete beams under flexural loading was carried out. A mixed AE analysis method which used both parameter-based and signal-based techniques was presented to characterize and identify different failure mechanisms of damage, where the signal-based analysis was performed by using the Hilbert-Huang transform. The maximum instantaneous energy of typical damage events and the corresponding frequency characteristics were established, which provided a quantitative assessment of reinforced concrete beam using AE technique. In the bending tests, a "pitch-catch" system was mounted on a steel bar to assess bonding state of the steel bar in concrete. To better understand the AE behavior of bond-slip damage between steel bar and concrete, a special bond-slip test called pullout test was also performed. The results provided the basis of quantitative AE to identify both failure mechanisms and level of damages of civil engineering structures.

• Nuclear Engineering and Technology
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• 제53권7호
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• pp.2341-2347
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• 2021

Because single-photon emission computed tomography (SPECT) is one of the widely used nuclear medicine imaging systems, it is extremely important to acquire high-quality images for diagnosis. In this study, we designed a super-resolution (SR) technique using dense block-based deep convolutional neural network (CNN) and evaluated the algorithm on real SPECT phantom images. To acquire the phantom images, a real SPECT system using a^99mTc source and two physical phantoms was used. To confirm the image quality, the noise properties and visual quality metric evaluation parameters were calculated. The results demonstrate that our proposed method delivers a more valid SR improvement by using dense block-based deep CNNs as compared to conventional reconstruction techniques. In particular, when the proposed method was used, the quantitative performance was improved from 1.2 to 5.0 times compared to the result of using the conventional iterative reconstruction. Here, we confirmed the effects on the image quality of the resulting SR image, and our proposed technique was shown to be effective for nuclear medicine imaging.

• Journal of Dental Anesthesia and Pain Medicine
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• 제21권4호
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• pp.269-282
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• 2021

This review aimed to assess and compare the outcomes of the anesthetic efficacy of inferior alveolar nerve block (IANB) and Gow-Gates mandibular nerve block (GGMNB) in patients with symptomatic irreversible pulpitis. A descriptive systematic review of quantitative research was conducted wherein the "Preferred Reporting Items for Systematic Reviews (PRISMA)" was adopted, and the Problem/Patient/Population, Intervention/Indicator, Comparison, Outcome (PICO) criteria were used to structure the research question. A literature search was performed using PubMed/Medline, Cochrane Library, Google Scholar, and Ovid. Selection criteria were applied for populations over nine years of age, of either sex, with irreversible pulpitis, and articles published in English regarding conventional IANB or IANB and Gow-Gates techniques between 2009 and 2019. Prospective randomized clinical trials or randomized controlled trials were included in the review, in which anesthetic efficacy or success was measured. After screening, four articles were included. Three studies were randomized clinical trials, and two were randomized controlled trials. The validity and reliability of the individual studies were examined. There was evidence of the higher efficacy of the GGMNB technique than that of the IANB technique. However, both techniques can be mastered through training.

• 한국멀티미디어학회논문지
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• 제25권5호
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• pp.661-669
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• 2022

The purpose of this study is to compare and analyze Deep Learning (DL) and Digital Image Processing (DIP) techniques using the results of the glottis segmentation of the two methods followed by the quantification of the asymmetric degree of the vocal cord mucosa. The data consists of 40 normal and abnormal images. The DL model is based on Deeplab V3 architecture, and the Canny edge detector algorithm and morphological operations are used for the DIP technique. According to the segmentation results, the average accuracy of the DL model and the DIP was 97.5% and 94.7% respectively. The quantification results showed high correlation coefficients for both the DL experiment (r=0.8512, p<0.0001) and the DIP experiment (r=0.7784, p<0.0001). In the conclusion, the DL model showed relatively higher segmentation accuracy than the DIP. In this paper, we propose the clinical applicability of this technique applying the segmentation and asymmetric quantification algorithm to the glottal area in the laryngoscopic images.

• Composites Research
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• 제20권3호
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• pp.31-36
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• 2007

본 연구는 압전 변환기를 이용하여 탄소/에폭시 복합재료 보의 초기 균열 길이에 대한 정량적인 예측방법을 제시하였다. 구조물의 손상에 대한 비파괴평가기술에 대한 관심은 증가하고 있다. 본 연구에서는 시간-주파수 영역에서 웨이블렛 변환에 기초한 신호처리기술로 손상 유무와 손상평가를 위한 방법을 제시하였다. 한 쌍의 피에조 재료를 이용하여 탄소/에폭시 복합재료 보의 동적응답을 제안한 신호처리 기술로 협대역 가진하에서 연구하였다.

• 핵의학기술
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• 제28권1호
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• pp.35-40
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• 2024

Purpose: To improve the image quality in positron emission tomography (PET), the attenuation correction technique based on the computed tomography (CT) data is important process. However, the artifact is caused by metal material during PET/CT scan, and the image quality is degraded. Therefore, the purpose of this study was to evaluate image quality according to with and without iterative metal artifact reduction (iMAR) algorithm using customized 3D printing phantom. Materials and Methods: The Hoffman and Derenzo phantoms were designed. To protect the gamma ray transmission and express the metal portion, lead substance was located to the surface. The SiPM based PET/CT was used for acquisition of PET images according to application with and without iMAR algorithm. The quantitative methods were used by signal to noise ratio (SNR), coefficient of variation (COV), and contrast to noise ratio (CNR). Results and Discussion: The results shows that the image quality applying iMAR algorithm was higher 1.15, 1.19, and 1.11 times than image quality without iMAR algorithm for SNR, COV, and CNR. Conclusion: In conclusion, the iMAR algorithm was useful for improvement of image quality by reducing the metal artifact lesion.

• Structural Engineering and Mechanics
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• 제48권4호
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• pp.501-518
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• 2013

Apart from thinning of cortical layers, the local bone curvature, varying along bone periphery, modulates ultrasound waves as well, which is however often underestimated or overlooked in clinical quantitative ultrasound (QUS). A dedicated three-dimensional finite element modelling technique for cortical bones was established, for quantitatively exploring and calibrating the effect of local curvature of cortical bone on ultrasound. Using a correlation-based mode extraction technique, high-velocity group (HVG) and low-velocity group (LVG) wave modes in a human radius were examined. Experimental verification using acrylic cylinders and in vitro testing using a porcine femur were accomplished. Results coherently unravelled the cortical curvature exerts evident influence on bone-guided ultrasound when RoC/${\lambda}$ <1 for HVG mode and RoC/${\lambda}$ <2 for LVG mode (RoC/${\lambda}$: the ratio of local bone curvature radius to wavelength); the sensitivity of LVG mode to bone curvature is higher than HVG mode. It has also been demonstrated the local group velocity of an HVG or LVG mode at a particular skeletal site is equivalent to the velocity when propagating in a uniform cylinder having an outer radius identical to the radius of curvature at that site. This study provides a rule of thumb to compensate for the effect of bone curvature in QUS.

• 한국도로학회논문집
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• 제10권2호
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• pp.91-100
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• 2008

현재 도시부 도로에 대한 서비스 수준 평가는 통행속도, 지체 등과 같은 정량적인 부분만을 고려하였다. 하지만 도시부 도로를 이용하는 운전자들은 정량적인 부분이외에도 도로의 청결, 타운전자의 법규위반 등의 정성적인 측면에서도 영향을 받고 있는 것이 현실이다. 이에 본 연구에서는 정량적인 부분과 정성적인 부분을 함께 고려하여 평가지표를 도출하고, 서비스 측면의 개선사항 도출시 주로 경영분야에서 사용되고 있는 Importance-Performance Analysis (IPA) 기법을 변형하여 사용하였다. 본 연구에서 제안된 변형된 IPA 분석기법은 분석대상 및 항목간 상대적 수준을 반영하여 서비스 수준이 평가될 수 있도록 구성되어 있다. 사례분석 지역으로 서울시 강남 3개구, 강북 3개구를 선정하여 도시부 도로의 서비스 질 평가가 수행되었으며, 변형된 IPA 평가를 토대로 도로 서비스 질 향상을 위한 지역별 개선항목을 도출하였다.

• 농촌계획
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• 제22권4호
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• pp.25-36
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• 2016

The purpose of this study is to construct a quantitative evaluation method that can analyze the policy effectiveness with the construction of a implicit composite index incorporating spatial econometrics models. In order to propose a methodological framework for the program evaluation, this study conducts an empirical analysis with the application of the Comprehensive Rural Village Development Project (CRVDP) which explicitly claims to achieve comprehensive goal of community development. The present study pays particular attention to quantifying the composite evaluation index and drawing net effect through the application of a series of spatial econometrics models. The spatial unit of the analysis is drawn at Eup-Myeon level in rural areas in Korea, and the time horizon is in between 2005 and 2010. We utilize the Korean Agricultural Census data in 2005 and 2010. Three steps of methodological processes are needed to satisfy the objective of the present study. First, we apply factor analysis to construct the composite index that represents comprehensive settlement environment in rural area. The index should be matched with the main objective of the CRVDP. Second, we apply the derived index to a series of spatial econometrics model as dependent variable. Lastly, utilizing the estimated coefficients of the econometrics models, we apply decomposition technique to estimate CRVDP's net effect from both cross-sectional and longitudinal perspectives. We find that the results of the decomposition analysis by the execution of the CRVDP are positively associated with the explicit object of the project.

• 대한교통학회:학술대회논문집
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• 대한교통학회 2007년도 제57회 학술발표회논문집
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• pp.574-583
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• 2007

현재 도시부 도로에 대한 서비스 수준 평가는 통행속도, 지체 등과 같은 정략적인 부분만을 고려하였다. 하지만 도시부 도로를 이용하는 운전자들은 정량적인 부분이외에도 도로의 청 결, 타운전자의 법규위반 등의 정성적인 측면에도 영향을 받고 있는 것이 현실이다. 이에 본 연구에서는 정량적인 부분과 정성적인 부분을 함께 고려하여 평가지표를 도출하고, 서비스 측면의 개선사항 도출시 주로 경영분야에서 사용되고 있는 Importance-Performance Analysis (IPA) 기법을 변형하여 사용하였다. 본 연구에서 제안된 변형 된 IPA 분석 기법은 분석대상 및 항목간 상대적 수준을 반영하여 서비스 수준이 평가될 수 있도록 구성되어 있다. 사례분석 지역으로 서울시 강남 3개구, 강북 3개구를 선정하여 도시부 도로의 서비스 질 평가가 수행되었으며, 변형된 IPA 평가를 토대로 도로 서비스 질 향상을 위한 지역별 개선항목을 도출하였다.