• 한국멀티미디어학회논문지
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• 제20권5호
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• pp.748-757
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• 2017

In order to recognize the facial expressions, good features that can express the facial expressions are essential. It is also essential to find the characteristic areas where facial expressions appear discriminatively. In this study, we propose a directional LBP feature for facial expression recognition and a method of finding directional LBP operation and feature region for facial expression classification. The proposed directional LBP features to characterize facial fine micro-patterns are defined by LBP operation factors (direction and size of operation mask) and feature regions through AdaBoost learning. The facial expression classifier is implemented as a SVM classifier based on learned discriminant region and directional LBP operation factors. In order to verify the validity of the proposed method, facial expression recognition performance was measured in terms of accuracy, sensitivity, and specificity. Experimental results show that the proposed directional LBP and its learning method are useful for facial expression recognition.

• Smart Structures and Systems
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• 제7권5호
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• pp.329-348
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• 2011

Large-scale earthquakes pose serious threats to infrastructure causing substantial damage and large residual deformations. Superelastic (SE) Shape-Memory-Alloys (SMAs) are unique alloys with the ability to undergo large deformations, but can recover its original shape upon stress removal. The purpose of this research is to exploit this characteristic of SMAs such that concrete Beam-Column Joints (BCJs) reinforced with SMA bars at the plastic hinge region experience reduced residual deformation at the end of earthquakes. Another objective is to evaluate the seismic performance of SMA Reinforced Concrete BCJs repaired with flowable Structural-Repair-Concrete (SRC). A $\frac{3}{4}$-scale BCJ reinforced with SMA rebars in the plastic-hinge zone was tested under reversed cyclic loading, and subsequently repaired and retested. The joint was selected from an RC building located in the seismic region of western Canada. It was designed and detailed according to the NBCC 2005 and CSA A23.3-04 recommendations. The behaviour under reversed cyclic loading of the original and repaired joints, their load-storey drift, and energy dissipation ability were compared. The results demonstrate that SMA-RC BCJs are able to recover nearly all of their post-yield deformation, requiring a minimum amount of repair, even after a large earthquake, proving to be smart structural elements. It was also shown that the use of SRC to repair damaged BCJs can restore its full capacity.

• 스마트미디어저널
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• 제10권2호
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• pp.22-29
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• 2021

In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.

• Computers and Concrete
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• 제30권1호
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• pp.75-83
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• 2022

This study introduced a post-tensioned precast concrete system that was developed and designed to improve the performance of joints by post-tensioning. Full-scaled specimens were tested to investigate flexural performances at the negative moment region, where the test variables were the presence of slabs, tendon types, and post-tensioned lengths. A specimen with slabs exhibited significantly higher stiffness and strength values than a specimen without slabs. Thus, it would be reasonable to consider the effects of a slab on the flexural strength for an economical design. A specimen with unbonded mono-tendons had slightly lower initial stiffness and flexural strength values than a specimen with bonded multi-tendons but showed greater flexural strength than the value specified in the design codes. The post-tensioned length was found to have no significant impact on the flexural behavior of the proposed post-tensioned precast concrete system. In addition, a finite element analysis was conducted on the proposed post-tensioned precast concrete system, and the tests and analysis results were compared in detail.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2515-2517
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• 2002

The process of character recognition goes through 5 steps; image acquisition, character region extraction, preprocessing, character region segmentation, character recognition. Therefore the final recognition rate of character recognition is directly affected by the performance of each step. This paper is a leading research for object recognition using image processing algorithm which is one of the field of study in computer vision. And this paper will suggest an algorithm to extract the portion of number chain, which is part of the research embodying a system to perceive the data of manufacture and the name of the producer on the wrapping of groceries. In addition, this can extract the number chain comparatively accurate without using many complex algorithm by diving and extracting the moving number region at the same time.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.81-87
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• 2022

In this paper, we propose a watershed algorithm that applies a high-frequency enhancement filter to emphasize the boundary and a local adaptive threshold to search for minimum points. The previous method causes the problem of over-segmentation, and over- segmentation appears around the boundary of the object, creating an inaccurate boundary of the region. The proposed method applies a high-frequency enhancement filter that emphasizes the high-frequency region while preserving the low-frequency region, and performs a minimum point search to consider local characteristics. When merging regions, a fixed threshold is applied. As a result of the experiment, the proposed method reduced the number of segmented regions by about 58% while preserving the boundaries of the regions compared to when high frequency emphasis filters were not used.

• 한국컴퓨터정보학회논문지
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• 제14권4호
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• pp.39-46
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• 2009

기존에 PC 환경에서는 많은 입술 영역 검출 방법들이 제안되었는데, 자원이 제한되어있는 모바일 장치에서는 이런 방법들을 그대로 적용하면 실시간 동작이 어렵다. 이러한 문제를 해결하기 위하여, 본 논문은 모바일 장치에서 립리딩을 위한 실시간 입술 영역 검출 방법을 제안한다. 본 논문에서는 적응적 얼굴 색상 정보를 이용하여 얼굴 영역을 검출한 다음에 눈 검출을 하고 눈과 입술의 기하학적 관계를 이용하여 입술 영역을 검출한다. 제안된 알고리즘을 Intel PXA 270 임베디드 프로세서와 386MB 메모리를 가진 스마트 폰에 구현하여 실험한 결과 9.5 프레임/초의 속도로 동작하였고 574장의 영상에 대하여 검출 실험한 결과 98.8%의 검출 성공률을 얻을 수 있었다.

• 정보처리학회논문지B
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• 제15B권3호
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• pp.189-196
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• 2008

본 논문에서는 A/D 변환기, 모션 예측 회로와 ROI(Region of Interest) 탐지를 위한 주의 모듈로 구성된 CMOS 디지털 이미지 센서를 소개한다. 현재 논문에서 제시하고 있는 이미지 센서의 A/D 변환기와 모션 예측 기능은 하드웨어인 $0.6{\mu}m$의 CMOS 프로세싱 회로(processing circuit)로 구현되어 있으며, ROI 탐지는 주의 모듈로서 소프트웨어로 구현되어 있다. 현재의 이미지 센서는 명암도의 변화에 반응하며, 모션을 예측하기 위해 시간정보를 사용하기 때문에 이미지 센서의 응용분야는 한정되어 있다. 센서라는 본래의 특징을 가지게 하면서 이의 응용분야를 확장하기 위하여 정지영상 및 동영상을 위한 특징기반 주의 모듈을 사용하여 이미지 센서에 인지기능을 부여하고자 한다. 이러한 접근법을 통해 이미지 센서는 모션이 예측되지 않다거나 명암도 변화가 감지되지 않을 경우에도 부가적인 기능을 할 수 있다. 실험결과를 통해 현재 구현된 이미지 센서의 효율성 및 다양한 분야로의 확장가능성을 확인할 수 있었다.

• BMB Reports
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• 제46권5호
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• pp.282-287
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• 2013

Cecropin A and papiliocin are novel 37-residue cecropin-like antimicrobial peptides isolated from insect. We have confirmed that papiliocin possess high bacterial cell selectivity and has an ${\alpha}$-helical structure from $Lys^3$ to $Lys^{21}$ and from $Ala^{25}$ to $Val^{35}$, linked by a hinge region. In this study, we demonstrated that both peptides showed high antimicrobial activities against multi-drug resistant Gram negative bacteria as well as fungi. Interactions between these cecropin-like peptides and phospholipid membrane were studied using CD, dye leakage experiments, and NMR experiments, showing that both peptides have strong permeabilizing activities against bacterial cell membranes and fungal membranes as well as $Trp^2$ and $Phe^5$ at the N-terminal helix play an important role in attracting cecropin-like peptides to the negatively charged bacterial cell membrane. Cecropin-like peptides can be potent peptide antibiotics against multi-drug resistant Gram negative bacteria and fungi.

• 문화기술의 융합
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• 제4권4호
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• pp.31-36
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• 2018

광 산업은 국가 경제 활성화에 지대한 영향력을 갖고 있으며, IT기술의 발전은 관광객의 특성, 행위, 구매 성향, 관심사 등에 기반한 개인 프로파일 정보 및 위치정보, 활동정보 등의 수집과 분석이 가능해졌다. 이를 구현하기 위해 융합형 스마트관광 정보 서비스 플랫폼 구현은 3단계로 나누어 비지니스 모델 개발, IoT & 빅데이터 통합관리 시스템, 빅데이터 알고리즘 개발 및 분석 플랫폼 개발로 완성된다. 플랫폼 및 알고리즘의 원천기술은 오픈소스를 채택하고 그 기반위에 서비스 요소를 확장한 후, 지역을 연계한 Test-Bed 실증 시험을 통해 문제점을 보완하는 과정을 진행하게 된다. 이 플랫폼을 활용하면 다양한 정보를 통합적으로 분석하여 관광객별 맞춤화된 서비스를 제공할 수 있는 스마트관광 환경이 가능해진다. 또한 지역중심의 스마트관광 생태계 조성을 통해 관광 목적지 주민의 삶을 개선하고 지역 재생과 일자리 창출에도 기여할 수가 있을 것이다.