• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.998-1001
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• 2014

본 논문은 영상에서 불완전한 얼굴을 인식하는 방법으로 얼굴의 각 객체를 검출하여 특징을 비교하는 방법을 제안한다. 부분적 요소 즉, 얼굴의 눈, 코, 입을 각각 PCA(Principal component analysis)와 LDA(Linear discriminant analysis)를 이용해 특징을 추출한 등록된 데이터베이스와 비교하여 신원을 확인한다. 본 논문에서 제안하는 방법의 성능을 검증하기 위해 실험으로 증명하였으며, 기존에 제안된 방법들보다 현저히 높은 인식률을 보였다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.23-27
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• 2006

Internet community's popularity Is growing at an impressive rate. Sooner or later, most people come face to face with the decision of using the mobile internet or mobile community. This study developed and empirically tested a research model, QSL(Quality-Satisfaction-Loyalty) model. The reliability and validity of the measurement test were peformed. Based on a survey at university, this study showed that consultation system is significant on overall customer satisfaction. The possibility of human network is very important in generating overall customer satisfaction. We empirically found that the important role of customer satisfaction as partial moderating factor between service qualities and customer loyalty.

• 로봇학회논문지
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• 제8권4호
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• pp.266-272
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• 2013

Facial feature extraction and tracking are essential steps in human-robot-interaction (HRI) field such as face recognition, gaze estimation, and emotion recognition. Active shape model (ASM) is one of the successful generative models that extract the facial features. However, applying only ASM is not adequate for modeling a face in actual applications, because positions of facial features are unstably extracted due to limitation of the number of iterations in the ASM fitting algorithm. The unaccurate positions of facial features decrease the performance of the emotion recognition. In this paper, we propose real-time facial feature extraction and tracking framework using ASM and LK optical flow for emotion recognition. LK optical flow is desirable to estimate time-varying geometric parameters in sequential face images. In addition, we introduce a straightforward method to avoid tracking failure caused by partial occlusions that can be a serious problem for tracking based algorithm. Emotion recognition experiments with k-NN and SVM classifier shows over 95% classification accuracy for three emotions: "joy", "anger", and "disgust".

• 지질공학
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• 제15권4호
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• pp.463-473
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• 2005

국내에서 터널 설계 시 널리 사용되는 RMR 분류법과 Q-system은 모든 암종에 대해 동일한 배점 체계를 적용하기 때문에, 지역적인 지질학적 특성을 반영할 수 없으며 암반의 공학적 이방성을 충분히 표현하지 못한다. 본 연구에서는 암종별 지질학적 특성차에 의한 각 RMR 항목의 중요도를 살펴보기 위하여, 퇴적암, 화강암, 천매암을 기반암으로 하는 터널을 대상으로 막장관찰자료에 대해 정준상관분석을 실시하였다. 분석결과에 의하면 암종의 변화에 따라 전체 RMR배점에서 각 인자가 차지하는 영향은 서로 큰 차이를 보였다

• 한국축산식품학회지
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• 제42권4호
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• pp.672-688
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• 2022

The objective of this study was to explore the potential of front face fluorescence spectroscopy (FFFS) as rapid, non-destructive and inclusive technique along with multi-variate analysis for predicting meat adulteration. For this purpose (FFFS) was used to discriminate pure minced beef meat and adulterated minced beef meat containing (1%, 2%, 3%, 4%, 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100%) of chicken meat as an adulterant in uncooked beef meat samples. Fixed excitation (290 nm, 322 nm, and 340 nm) and fixed emission (410 nm) wavelengths were used for performing analysis. Fluorescence spectra were acquired from pure and adulterated meat samples to differentiate pure and binary mixtures of meat samples. Principle component analysis, partial least square regression and hierarchical cluster analysis were used as chemometric tools to find out the information from spectral data. These chemometric tools predict adulteration in minced beef meat up to 10% chicken meat but are not good in distinguishing adulteration level from 1% to 5%. The results of this research provide baseline for future work for generating spectral libraries using larger datasets for on-line detection of meat authenticity by using fluorescence spectroscopy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3172-3193
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• 2018

Recently, several studies have shown that linear representation based approaches are very effective and efficient for image classification. One of these linear-representation-based approaches is the Collaborative representation (CR) method. The existing algorithms based on CR have two major problems that degrade their classification performance. First problem arises due to the limited number of available training samples. The large variations, caused by illumintion and expression changes, among query and training samples leads to poor classification performance. Second problem occurs when an image is partially noised (contiguous occlusion), as some part of the given image become corrupt the classification performance also degrades. We aim to extend the collaborative representation framework under limited training samples face recognition problem. Our proposed solution will generate virtual samples and intra-class variations from training data to model the variations effectively between query and training samples. For robust classification, the image patches have been utilized to compute representation to address partial occlusion as it leads to more accurate classification results. The proposed method computes representation based on local regions in the images as opposed to CR, which computes representation based on global solution involving entire images. Furthermore, the proposed solution also integrates the locality structure into CR, using Euclidian distance between the query and training samples. Intuitively, if the query sample can be represented by selecting its nearest neighbours, lie on a same linear subspace then the resulting representation will be more discriminate and accurately classify the query sample. Hence our proposed framework model the limited sample face recognition problem into sufficient training samples problem using virtual samples and intra-class variations, generated from training samples that will result in improved classification accuracy as evident from experimental results. Moreover, it compute representation based on local image patches for robust classification and is expected to greatly increase the classification performance for face recognition task.

• 대한한의학회지
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• 제42권4호
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• pp.102-119
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• 2021

Objectives: Facial diagnosis is an important part of clinical diagnosis in traditional East Asian Medicine. In this paper, using a fully automated facial shape analysis system, we show that facial morphological features are associated with cold pattern. Methods: The facial morphological features calculated from 68 facial landmarks included the angles, areas, and distances between the landmark points of each part of the face. Cold pattern severity was determined using a questionnaire and the cold pattern scores (CPS) were used for analysis. The association between facial features and CPS was calculated using Pearson's correlation coefficient and partial correlation coefficients. Results: The upper chin width and the lower chin width were negatively associated with CPS. The distance from the center point to the middle jaw and the distance from the center point to the lower jaw were negatively associated with CPS. The angle of the face outline near the ear and the angle of the chin line were positively associated with CPS. The area of the upper part of the face and the area of the face except the sensory organs were negatively associated with CPS. The number of facial morphological features that exhibited a statistically significant correlation with CPS was 37 (unadjusted). Conclusions: In this study of a Korean population, subjects with a high CPS had a more pointed chin, longer face, more angular jaw, higher eyes, and more upward corners of the mouth, and their facial sensory organs were relatively widespread.

• 치과방사선
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• 제5권1호
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• pp.11-21
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• 1975

The study was performed to investigate cephalomeric similarity between parents and offspring of the Korean family by lateral cephalometric analysis. The lateral cephalograms consist of the 8 families comprising 16 parents, 5 sons and 7 daughters. In order to make an investigation of the similarity, set up, and 22 linear measurements on each depth measurements were made. The author drew up the profilograms to compare parents with offspring in each family group. The obtained results were as follows: 12 measuring points were and height and 5 angular 1. There was no common similarity on specific region between parents and offspring on each family group. 2. There was partial similarity between single parent and offspring. 3. The partial similarity between single parent and offspring was noted on the upper face in general.

• Archives of Plastic Surgery
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• 제32권4호
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• pp.491-495
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• 2005

In partial thickness burn injuries, silver sulfadiazine cream 1%(SSD, $Silvadene^{(R)}$) is the most commonly used topical agent worldwide. But silver sulfadiazine cream 1% has no exudate absorption property. Usually after escar is removed from wound surface, $Silvadene^{(R)}$ is changed to saline wet gauze dressing to promote epithelization. $Aquacel^{(R)}$(ConvaTec, UK) is a 100% sodium carboxymethylcellulose Hydrofiber material. It absorbs exudates directly into the hydrofibers by vertical wicking which allows rapid uptake of liquid into the fibers. The absorbed exudate fluid can be distributed to the entire dressing rather than just over the wound surface, which results in larger fluid absorption capacity. From April, 2003 to July, 2004 a study was done with 40 patients who had variable partial thickness burns. $Aquacel^{(R)}$ dressing was compared in 21 cases to silver sulfadiazine cream 1% and saline wet gauze dressings in 19 cases. In the $Aquacel^{(R)}$ cases, the average healing time on the face was $5.36{\pm}1.69$ a day; on the hands was $8.46{\pm}2.15$ a day; and, on the neck was $6.0{\pm}2.0$ a day. With the $Silvadene^{(R)}$ and Saline wet gauze dressing, the average healing time on the face was $6.44{\pm}1.74$ a day; on the hands was $13.79{\pm}5.35$ a day; and, on the neck was $11.17{\pm}3.31$ a day. As a result, the $Aquacel^{(R)}$ group showed a shorter healing time compared to the $Silvadene^{(R)}$ and saline wet gauze dressing group and patients were satisfied because of less pain and improved comfort. In conclusion, $Aquacel^{(R)}$ is a better choice for partial thickness burn injuries because of shorter healing time, less pain and more confortable dressing.

• Archives of Plastic Surgery
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• 제33권5호
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• pp.531-535
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• 2006

Purpose: To report our experience of retro-angular flap for reconstruction of the midface defect. The midface, including nose, lower eyelid, and intercanthal area, is the very prominent area of face. Also midface is more vulnerable to trauma and skin cancer and defect of mid face of highly perceptible. Reconstruction of mid face is difficult because of complexity of anatomy and functions. Following factors should be considered in reconstructive prcedure of midface. First, multiple procedure may need for complete the reconstruction of mid face defect. Second, secondary reconstructive surgeries such as flap rotation or skin graft may need for donor site morbidity. Third, the color, texture and thickness of the skin used are not always complacency. Methods: 8 cases of the midface defects (3 cases of lower eyelid, 1 case of intercanthal area, and 4 cases of nose) from skin cancer were reconstructed with retroangular flap from March 2004 to August 2005. Results: Satisfactory result were obtained in color, texture and donor site scar. There was no major complication such as wound disruption, hematoma, and atrophy of flap. But partial necrosis of flap and bulkiness were observed one case in each. Retroangular flap is simple procedure that can be preceded in one stage under local anesthesia closing primary wound closure. It will leave less visible donor scar, acceptable color, texture and thickness of the skin. Conclusions: The retro-angular flap could be suggested as a safe and effective method for midface reconstruction.