• Journal of Korean Neurosurgical Society
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• v.49 no.3
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• pp.186-189
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• 2011

In recent years the immunocompromised population has increased rapidly to include people with acquired immune deficiency syndrome (AIDS), drug abusers, and transplant patients. Accordingly, the incidence of intracranial fungal infection has increased. Our institution experienced 2 cases of internal carotid artery (ICA) occlusion due to invasion of the cavernous sinus by an intracranial fungal infection. The first case was a 60-year-old man who presented with headache, eye pain, conjunctival injection, right-sided diplopia, and blurred vision. Infected tissues within the frontal and ethmoid sinuses were removed via bifrontal craniotomy and endoscopic sinus surgery through the Caldwell Luc approach. The second case was a 63-year-old woman who developed right-sided facial pain after a tooth extraction. The infection was not controlled despite continuous use of antifungal agents, resulting in death from sepsis. We believe that when intracranial fungal infection is suspected in a patient with orbital symptoms and a focal neurologic deficit, immediate angiographic investigation of possible ICA occlusion is warranted. Aggressive treatment with antifungal agents is the only way to improve prognosis.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.415-418
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• 2007

본 논문은 머리카락을 포함한 얼굴 영역 추출에 관한 것으로서, 보다 구체적으로는 조명변화에도 강인 한 얼굴영역 추출방법과 다양한 머리카락의 모양과 색의 변화에도 신뢰성 있는 머리카락 추출 방법에 관한 것이다. 일반적으로 얼굴영상은 개인의 특징을 잘 표현할 수 있는 정보로써, 영상에서 얼굴 영역을 추출하여 이를 실제 얼굴영상정보를 이용한 얼굴인식, 관상정보 서비스를 위한 전처리, 기반기술을 제공하고, 실사 캐릭터 제작에도 바로 적용될 수 있다. 기존의 템플리트 매칭, 곡선추적 알고리즘 등과의 같은 추출방법에서는 얼굴크기 변화, 안경 및 장신구의 착용 여부 그리고 조명의 변화에 따라 얼굴영역 추출하는 처리속도가 많이 걸리고, 성능이 크게 저하되는 문제점이 있다. 상기한 바와 같이 종래의 문제점을 개선하기 위하여, 본 논문에서는 얼굴의 크기변화, 안경 및 장신구의 착용 여부 그리고 조명의 변화에서도 얼굴 영역을 잘 추출 할 있는 방법과 다양한 머리카락의 색, 형태 변화에도 신뢰성 있는 머리카락 추출방법을 제안하였다.

• Korean Journal of Cognitive Science
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• v.8 no.4
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• pp.55-62
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• 1997

We proposed a method for locating of mouth using deformable templates, described by a parameterized template. An energy function is defined which links, edges, peaks, valleys in image intensity to corresponding properties of the template. The template deforms itself by altering its parameter values to minimize the energy function. The minimized energy function's parameter values can be used as descriptors for the feature. We propose a method for locating mouth fast, accurately by limiting a range of parameters' value and getting initial value of parameters' by preprocessing.

• Science of Emotion and Sensibility
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• v.1 no.1
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• pp.33-40
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• 1998

본 논문은 얼굴인식 분야에 있어서 필수 과정인 얼굴 및 얼굴의 주요소인 눈과 입의 추출에 관한 방법을 제시한다. 얼굴 영역 추출은 복잡한 배경하에서 움직임 정보나 색상정보를 사용하지 않고 통계적인 모델에 기반한 일종의 형찬정합 방법을 사용하였다. 통계적인 모델은 입력된 얼굴 영상들의 Hotelling변환 과정에서 생성되는 고유 얼굴로, 복잡한 얼굴 영상을 몇 개의 주성분 갑으로 나타낼 수 있게 한다. 얼굴의 크기, 영상의 명암, 얼굴의 위치에 무관하게 얼굴을 추출하기 위해서, 단계적인 크기를 가지는 탐색 윈도우를 이용하여 영상을 검색하고 영상 강화 기법을 적용한 후, 영상을 고유얼굴 공간으로 투영하고 복원하는 과정을 통해 얼굴을 추출한다. 얼굴 요소의 추출은 각 요소별 특성을 고려한 엣지 추출과 이진화에 따른 프로젝션 히스토그램 분석에 의하여 눈과 입의 경계영역을 추출한다. 얼굴 영상에 관련된 윤곽선 추출에 관한 기존의 연구에서 주로 기하학적인 모양을 갖는 눈과 입의 경우에는 주로 가변 템플릿(Deformable Template)방법을 사용하여 특징을 추출하고, 비교적 다양한 모양을 갖는 눈썹, 얼굴 윤곽선 추출에는 스네이크(Snakes: Active Contour Model)를 이용하는 연구들이 이루어지고 있는데, 본 논문에서는 이러한 기존의 연구와는 달리 스네이크를 이용하여 적절한 파라미터의 선택과 에너지함수를 정의하여 눈과 입의 윤곽선 추출을 실험하였다. 복잡한 배경하에서 얼굴 영역의 추출, 추출된 얼굴 영역에서 눈과 입의 영역 추출 및 윤곽선 추출이 비교적 좋은 결과를 보이고 있다.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.21 no.1
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• pp.81-88
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• 1999

A fibrin adhesive have been widely used in oral and maxillofacial surgery for microvascular anastomosis, autogenous chip bone grafts, many kinds of soft tissue surgery (vestibuloplasty, bleeding control after extraction, primary healing by covering of suture of a gum after the extirpation of large cysts). There are two principal components in adhesive systems biologically: lyophilized human fibrinogen and bovine thrombin. The fibrinogen component contains coagulation factor XIII and enhance the initial wound healing, which polymerizes soluble fibrin monomers into an insoluble clot. The thrombin is dissolved in a solution of calcium chloride to provide the second component. We applied fibrin adhesive, Beriplast (Behring, Behringwerke AG, D-3350, Marburg, FRD), to 4 patients for fixation of free skin grafting donors who had facial scar around eye, nose, mouth corner which received from accidents, or burn. We have experienced initial accelerated graft fixation between donor and recipient sites with no additional fixation. And It's made easy bleeding control and easy manipulation during operation. But two cases showed partial hypertrophic scar engrowth in above 3 months follow up, but no significant. Histopathological reviews in general were showed similar scar findings such as abundant collagen bundles in H&E, M/T stain, but slight positive signs in elastic and collagen antibody immunopathologic findings in hypertrophic scar cases.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.127-136
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• 2021

Real-time human recognition is a challenging task, as the images are captured in an unconstrained environment with different poses, makeups, and styles. This limitation is addressed by generating several facial images with poses, makeup, and styles with a single reference image of a person using Generative Adversarial Networks (GAN). In this paper, we propose deep learning-based human recognition using integration of GAN and Spatial Domain Techniques. A novel concept of human recognition based on face depiction approach by generating several dissimilar face images from single reference face image using Domain Transfer Generative Adversarial Networks (DT-GAN) combined with feature extraction techniques such as Local Binary Pattern (LBP) and Histogram is deliberated. The Euclidean Distance (ED) is used in the matching section for comparison of features to test the performance of the method. A database of millions of people with a single reference face image per person, instead of multiple reference face images, is created and saved on the centralized server, which helps to reduce memory load on the centralized server. It is noticed that the recognition accuracy is 100% for smaller size datasets and a little less accuracy for larger size datasets and also, results are compared with present methods to show the superiority of proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.510-512
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• 2023

In order to enhance a model's capability for detecting facial expressions, this research suggests a pipeline that makes use of the GradCAM component. The patching module and the pseudo-labeling module make up the pipeline. The patching component takes the original face image and divides it into four equal parts. These parts are then each input into a 2Dconvolutional layer to produce a feature vector. Each picture segment is assigned a weight token using GradCAM in the pseudo-labeling module, and this token is then merged with the feature vector using principal component analysis. A convolutional neural network based on transfer learning technique is then utilized to extract the deep features. This technique applied on a public dataset MMI and achieved a validation accuracy of 96.06% which is showing the effectiveness of our method.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.105-120
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• 2012

This study aimed to develop a Korean emotion vocabulary list that functions as an important tool in understanding human feelings. In doing so, the focus was on the careful extraction of most widely used feeling words, as well as categorization into groups of emotion(s) in relation to its meaning when used in real life. A total of 12 professionals (including Korean major graduate students) partook in the study. Using the Korean 'word frequency list' developed by Yonsei University and through various sorting processes, the study condensed the original 64,666 emotion words into a finalized 504 words. In the next step, a total of 80 social work students evaluated and classified each word for its meaning and into any of the following categories that seem most appropriate for inclusion: 'happiness', 'sadness', 'fear', 'anger', 'disgust', 'surprise', 'interest', 'boredom', 'pain', 'neutral', and 'other'. Findings showed that, of the 504 feeling words, 426 words expressed a single emotion, whereas 72 words reflected two emotions (i.e., same word indicating two distinct emotions), and 6 words showing three emotions. Of the 426 words that represent a single emotion, 'sadness' was predominant, followed by 'anger' and 'happiness'. Amongst 72 words that showed two emotions were mostly a combination of 'anger' and 'disgust', followed by 'sadness' and 'fear', and 'happiness' and 'interest'. The significance of the study is on the development of a most adaptive list of Korean feeling words that can be meticulously combined with other emotion signals such as facial expression in optimizing emotion recognition research, particularly in the Human-Computer Interface (HCI) area. The identification of feeling words that connote more than one emotion is also noteworthy.

• Convergence Security Journal
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• v.19 no.2
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• pp.91-104
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• 2019

In this paper, we present a novel local descriptor, Local Prominent Directional Pattern (LPDP), to represent the description of facial images for gender recognition purpose. To achieve a clearly discriminative representation of local shape, presented method encodes a target pixel with the prominent directional variations in local structure from an analysis of statistics encompassed in the histogram of such directional variations. Use of the statistical information comes from the observation that a local neighboring region, having an edge going through it, demonstrate similar gradient directions, and hence, the prominent accumulations, accumulated from such gradient directions provide a solid base to represent the shape of that local structure. Unlike the sole use of gradient direction of a target pixel in existing methods, our coding scheme selects prominent edge directions accumulated from more samples (e.g., surrounding neighboring pixels), which, in turn, minimizes the effect of noise by suppressing the noisy accumulations of single or fewer samples. In this way, the presented encoding strategy provides the more discriminative shape of local structures while ensuring robustness to subtle changes such as local noise. We conduct extensive experiments on gender recognition datasets containing a wide range of challenges such as illumination, expression, age, and pose variations as well as sketch images, and observe the better performance of LPDP descriptor against existing local descriptors.

• Food Science and Preservation
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• v.25 no.1
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• pp.79-89
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• 2018

In this study, the anti-oxidant, whitening, and anti-wrinkle effects of Castanea crenata inner shell extracts processed by enzyme treatment and pressurized extraction were investigated. The Castanea crenata inner shell was first hydrolyzed using celluclast, viscozyme, or hemicellulase. Then, it was subjected to pressure extraction for different durations (30, 60, and 120 min). The yields of the Castanea crenata inner shell extracts processed by different enzyme treatments followed by pressurized extraction for different times are in the range of 12.42-29.80%. The total polyphenol, flavonoid, and tannin contents of the C30m (celluclast enzyme and autoclave extracts at 30 min) extract were 15.48, 10.82, and 15.82 g/100 g, respectively. The total sugar content of the H120m(hemicellulase enzyme and autoclave extracts at 120 min) extract is 61.07 g/100 g. The 1,1-diphenyl-2-pycrylhydrazyl (DPPH) and 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activities of the C30m extract at $1,000{\mu}g/mL$ are 89.20, and 81.96%, respectively. The superoxide radical scavenging and ferric-reducing antioxidant power of the C30m extract at $1,000{\mu}g/mL$ are 67.63% and $1,324.79{\mu}M$, respectively. Further, the tyrosinase and elastase inhibition activity of the C30m extract at $1,000{\mu}g/mL$ are 61.32, and 61.06%, respectively. Our results indicate that the Castanea crenata inner shell extracts processed by enzyme treatment followed by pressurized extraction could have beneficial effects on facial skin and they should be considered for use in new functional cosmetics.