• 한국식품저장유통학회지
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• 제20권6호
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• pp.805-809
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• 2013

육류가공제품의 발색제로 사용하는 아질산염을 대체할 수 있는 천연색소 개발과 건강지향적 소시지 제품 개발을 위해Monascus purureus KFRI 1134 균주로 배양한 홍국쌀을 0, 1, 3 및 5%(w/w) 첨가하여 소시지를 제조한 후 품질특성을 조사하였다. 홍국쌀 색소는 $100^{\circ}C$ 이하에서 안정성이 유지되었으며, 홍국쌀 첨가량이 증가할 수 록 수분 함유율이 감소하였고, 색도 측정 결과 적색도인 a 값이 증가하여 소시지의 색상 개선 효과가 있었다. 홍국쌀 소시지의 물성 측정 결과, 경도는 낮았으나, 신장성, 검성, 탄력성은 모두 높은 것으로 나타났으며, 홍국쌀 1%(w/w)를 첨가하여 제조한 소시지가 전체적인 기호도 값이 제일 높았다. 홍국쌀의 적색소는 열안정성이 강하여 소시지 가공 및 냉장 보관시 변색의 염려가 없으며, 소시지의 색상 개선이 가능하고, 물성과 맛에 영향을 미치지 않으면서 전반적인 기호도를 증가시키는 범위인 1%(w/w) 첨가가 적당한 것으로 나타났다.

• 한국재난정보학회 논문집
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• 제12권1호
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• pp.47-53
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• 2016

본 연구에서 개발 하고자 하는 기술은 3차원 영상인식을 위한 다중 영상매핑 시스템에 관한 연구 로 기존 통합 관제 시스템에 적용하거나 실시간 영상 관제 시스템 구축의 중심기술이 되고자 하는 것을 목적으로 한다. 따라서, 본 연구에서 계획한 다중 영상 매핑 시스템이 개발된다면, CCTV카메라기술과 네트워크 기술만으로도 즉, 다수의 연계된 시스템을 구축하지 않아도 보안담당자가 실제 순찰하면서 관제하는 서비스를 제공할 것이며, 필요하다면 타 시스템과 연계하여 순찰자의 의도를 반영할 수 있는 시스템으로 발전시킬 것이다. 또한, 이러한 시스템이 개발된다면 보안담당자의 재난 및 안전위협을 초래하는 상황에서 벗어날 수 있는 동시에 비교적 소규모의 경제력을 가진 사용자에게도 서비스를 제공할 수 있을 것으로 기대된다.

• 방송공학회논문지
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• 제10권4호통권29호
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• pp.632-642
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• 2005

본 논문에서는 다각형 기반 윤곽선 근사화를 위한 새로운 정점 선택 방법을 제안한다. 제안 방법은 전체 윤곽선을 부분 윤곽선으로 분할하고, 분할된 각 부분 윤곽선을 가변적 정확도에 따라 적응적으로 근사화한다. 근사화 정확도는 각 부분 윤곽선의 상대적 중요도에 의해 결정된다. 이때 근사화 오차 영역에서 발생하는 밝기 왜곡을 고려하여 각 부분 윤곽선의 상대적 중요도를 결정함으로써, 같은 윤곽선 데이터 량으로 보다 높은 재생영상의 화질 향상을 이룰 수 있다. 이러한 개념을 바탕으로 영역간 대조와 최대허용오차($d_{max}$)와의 관계식을 유도하고, 이 식을 이용한 적응적 정점 선택 방법을 제안한다. 실험 결과, 제안된 방법이 영상 부호화의 측면에서 기존 기법보다 우수한 성능을 나타내었다.

• 한국식품영양학회지
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• 제26권4호
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• pp.655-662
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• 2013

This study was carried out to investigate the changes in the quality properties of red pepper Yukwa (red pepper liquid fermented with lactic acid bacteria was added to the Yukwa) during the storage period. To determine the shelf life of red pepper Yukwa, the rice Yukwa (control) and red pepper Yukwa were stored at 15, 25, and $35^{\circ}C$ for 70 days. Also, the quality properties of red pepper Yukwa, such as acid value, peroxide value, texture, color, and sensory evaluation were measured. Although the acid value of rice Yukwa and red pepper Yukwa increased during storage, the red pepper Yukwa showed a lower acid value score (1.09mg KOH/g) than that (1.19mg KOH/g) of the rice Yukwa. Nevertheless, these values did not exceed the guideline maximum values of 2.0 g KOH/g specified in the Korean Food Code. The peroxide values of samples had significantly increased after 42 days. Especially, the peroxide value scores for the rice Yukwa and red pepper Yukwa were the highest at 146.49 and 126.79 meq/kg at $35^{\circ}C$, respectively. Hardness and brittleness in textural properties increased up to 70 days. The sensory values for the red pepper Yukwa for overall acceptance, taste;texture and appearance were the highest. The results indicated that by using the 'Visual Shelf life Simulator for foods' of the Korea Food and Drug Administration (KFDA) the shelf life of red pepper Yukwa is estimated to be 274.78 days.

• 한국멀티미디어학회논문지
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• 제14권8호
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• pp.1082-1093
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• 2011

3차원 캐릭터 모델의 만화적 표현을 위하여 일반적으로 사용되고 있는 기존의 카툰렌더링 방법들은 아티스트가 직접 그린 원화의 표현을 그대로 살리는데 한계가 있다. 본 논문에서는 원화로부터 만화적인 음영모델을 캡쳐하는 기술을 제안하고 이를 이용하여 3차원 캐릭터 모델을 효과적으로 카툰 렌더링하는 새로운 시스템을 제공한다. 이 시스템의 특징은 음영을 캡쳐한 후에 캐릭터 모델의 만화적 특성을 부각시키기 위하여 음영을 이용하여 형태를 강조하는 알고리즘을 포함하며 아티스트가 포스트 프러덕션으로 음영을 편집할 수 있는 스케치 기반 인터페이스를 지원하는 것이다. 이를 위하여 선택된 영역의 색상 분포와 비율을 분석하는 RGB 색상 정렬 알고리즘을 이용하여 카툰 텍스처를 자동으로 생성하는 방법론을 제시한다. 또한 캐릭터의 형태적 특성을 강조하기 위하여 세일리언시 기반 카툰 렌더링 알고리즘을 제안하며, 음영을 지역적으로 편집하는 스케치 인터페이스를 제공한다. 마지막으로 사용자 평가를 통하여 제안하는 시스템의 유용성을 입증한다.

• 한국콘텐츠학회논문지
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• 제7권3호
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• pp.1-8
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• 2007

CCTV, 로봇 등의 시스템으로부터 획득된 이미지에는 많은 얼굴 영상이 포함되어 있다. 영상 데이터의 급증으로 이들을 수동 처리하는 것은 어렵고 자동으로 처리할 필요가 있다. 또한 기업은 새로운 기술을 보호하고자 더욱 자동화된 보안 시스템을 요구한다. 그러한 문제를 해결하고자 얼굴인식, 동공인식, 지문인식 등의 방법이 사용된다. 얼굴인식 방법이 직접적인 접촉을 요구하지 않아 많이 사용되고 있으나 현재주로 사용되는 2차원 방식에는 한계가 있으며 이러한 것을 해결할 방안으로 Morphable모델을 생각할 수 있다. MPI에서 만들어진 기존의 Morphable 모델은 텍스쳐(texture), 지오메트리(geometry)와 같은 대량의 데이터로 구성된다. 본 논문은 이러한 용량을 줄이고자 GeometriX에 기반한 Morphable 모델 생성을 다룬다.

• Archives of Plastic Surgery
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• 제34권1호
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• pp.70-76
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• 2007

Purpose: Full-thickness skin grafts are usually used in facial reconstruction, but on occasion, split-thickness skin graft is also used from the scalp due to the limitation of donor site. However, there were complications, such as alopecia, folliculitis and blood loss. In addition, it can not be used in patients with baldness. Under the circumstances, we used medial arm skin as split-thickness skin graft donor site in lieu of scalp. We investigated the efficacy of the medial arm skin as a donor site of facial skin graft in comparison with scalp. Methods: From 2000 to 2005, the split-thicknesss skin grafts were performed using the medial arm skin in 10 patients and the scalp in 10 patients. We inspected the skin color match, texture match by the visual analogue scale. Scar contracture was estimated by the Visitrak $grade^{(R)}$(Smith & Nephew). The statistical analysis was performed by SPSS 12.0. Results: There was a more satisfaction in color match, texture, and scar contracture in medial arm skin than in scalp. Conclusion: According to these results, medial arm skin may be used efficiently as an alternative donor site of scalp in the facial reconstruction.

• 패션비즈니스
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• 제7권5호
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• pp.108-118
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• 2003

Surface properties, including the texture and the luster, of cotton fibers and yarns thereof play an important role in textile technology. The convolutions and the cross-sectional shape of the cotton fiber affect the fabric texture and the luster accordingly. Mercerization of the cotton fabric affects the luster, strength, and other properties of the fabric. In this study, the effect of mercerization was examined on the luster of the cotton fabric, together with the effect of polishing treatment. One of the traditional methods determining the fabric luster is the use of glossmeter or goniometric glossmeter. The use of glossmeter gives successful results in determining the gloss of rather flat and continuous surface such as plastic sheet, painted surface, or paper products. Since the textile fabrics have diverse surface structures and textures, these could be regarded as having three-dimensional surface. Such complexity imposes some difficulties for differentiating subtle surface luster properties of diverse textile fabrics. The advancement in the area of imaging technologies has enabled the micro-scale analysis of the surface textures and the fabric luster recently. Using a CCD camera, the surface luster images were taken at various incident illumination conditions. Microscale analysis, including the blob analysis, of the images could differentiate the subtle luster properties present in a group of cotton fabric samples comprising mercerized cotton fabric, non-mercerized cotton fabric, polished cotton fabric, and a 'standard' cotton fabric. The glossmeter measurement gave satisfactory but limited differentiation among the samples, whose luster differences are easily recognizable with visual observation, except for the mercerized cotton fabric sample and the non-mercerized cotton fabric. The microscale analysis of the fabric luster could, therefore, help understand the nature of diverse textile fabric luster.

• Nutrition Research and Practice
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• 제15권5호
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• pp.655-671
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• 2021

BACKGROUND/OBJECTIVES: While plate waste has been widely investigated in hospitals, there have been minimal studies specific to the texture-modified diet (TMD). This study aims to determine the percentage of plate waste among patients prescribed with TMD and its contributory factors. SUBJECTS/METHODS: This was a single-centre study conducted in the university hospital on three types of TMD (blended diet, mixed porridge, minced diet) during lunch and dinner meals. Weighing method and visual estimation method assisted by digital photograph were adopted in this study. Face to face interview was carried out to investigate on 1) the food/food service quality factors in terms of patients' satisfaction level towards sensorial quality of food and food services provided and 2) the clinical/external factors including appetite, the provision of oral nutrition support, time taking the diet, the need for feeding assistance and the length of hospital stay. RESULTS: The mean percentage of overall plate waste of 95 patients receiving TMD was high (47.5%). Blended diet was identified as the most wasted diet (65%) followed by minced diet (56%) and mixed porridge (35%). Satisfaction level among patients was moderate. Patients on TMD in general had higher satisfaction level on the aspect of food service as compared to food quality. Substantial association between sensorial qualities of food and plate waste were varied according to individual TMD type. A multiple linear regression showed that only the satisfaction level toward the aspects of appearance and variety of foods were the predictors of TMD plate waste (R² = 0.254, P < 0.05). CONCLUSIONS: A significant relationship between the percentage of plate waste and the overall satisfaction level of patients receiving TMD suggests that vigorous strategies are needed to reduce the food waste of TMD which will lead to a better nutritional status and clinical outcomes among the patients.

• 대한원격탐사학회지
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• 제40권1호
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• pp.93-101
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• 2024

Accurate field crop classification is essential for various agricultural applications, yet existing methods face challenges due to diverse crop types and complex field conditions. This study aimed to address these issues by combining support vector machine (SVM) models with multi-seasonal unmanned aerial vehicle (UAV) images, texture information extracted from Gray Level Co-occurrence Matrix (GLCM), and RGB spectral data. Twelve high-resolution UAV image captures spanned March-October 2021, while field surveys on three dates provided ground truth data. We focused on data from August (-A), September (-S), and October (-O) images and trained four support vector classifier (SVC) models (SVC-A, SVC-S, SVC-O, SVC-AS) using visual bands and eight GLCM features. Farm maps provided by the Ministry of Agriculture, Food and Rural Affairs proved efficient for open-field crop identification and served as a reference for accuracy comparison. Our analysis showcased the significant impact of hyperparameter tuning (C and gamma) on SVM model performance, requiring careful optimization for each scenario. Importantly, we identified models exhibiting distinct high-accuracy zones, with SVC-O trained on October data achieving the highest overall and individual crop classification accuracy. This success likely stems from its ability to capture distinct texture information from mature crops.Incorporating GLCM features proved highly effective for all models,significantly boosting classification accuracy.Among these features, homogeneity, entropy, and correlation consistently demonstrated the most impactful contribution. However, balancing accuracy with computational efficiency and feature selection remains crucial for practical application. Performance analysis revealed that SVC-O achieved exceptional results in overall and individual crop classification, while soybeans and rice were consistently classified well by all models. Challenges were encountered with cabbage due to its early growth stage and low field cover density. The study demonstrates the potential of utilizing farm maps and GLCM features in conjunction with SVM models for accurate field crop classification. Careful parameter tuning and model selection based on specific scenarios are key for optimizing performance in real-world applications.