• 한국인공지능학회지
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• 제11권1호
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• pp.25-29
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• 2023

In this paper, the purpose is to create a standard of AI training dataset type for commercial space design. As the market size of the field of space design continues to increase and the time spent increases indoors after COVID-19, interest in space is expanding throughout society. In addition, more and more consumers are getting used to the digital environment. Therefore, If you identify trends and preemptively propose the atmosphere and specifications that customers require quickly and easily, you can increase customer trust and conduct effective sales. As for the data set type, commercial districts were divided into a total of 8 categories, and images that could be processed were derived by refining 4,009,30MB JPG format images collected through web crawling. Then, by performing bounding and labeling operations, we developed a 'Dataset for AI Training' of 3,356 commercial space image data in CSV format with a size of 2.08MB. Through this study, elements of spatial images such as place type, space classification, and furniture can be extracted and used when developing AI algorithms, and it is expected that images requested by clients can be easily and quickly collected through spatial image input information.

• 대한영양사협회학술지
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• 제9권3호
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• pp.185-196
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• 2003

In order to investigate the recognition of processed foods, use of food labeling, and their influencing factors in adolescents, 277(male 125, female 152) middle school students were conveniently selected from Cheonan city, and were surveyed by self-recording questionnaire on June, 2000. Subjects' parents were also surveyed using the similar questionnaire. Food labels of all 222 processed foods collected from stores around schools, were well labeled in most items, but food additives(35.6%) and the origin of major ingredient(27.0) were not well indicated. The recognition score of processed foods was 55.0 out of a full score 100 in students and 68.5 in parents. The scores of students were positively correlated with those of their parents and with father's education years, while negatively correlated with snacking expenses. The rate of reading food labels was significantly different between students(51.3%) and their parents(89.9%). The main purposes of reading food labels, in case of students, were to check expiry date(93.7%), price(70.4%), and how to eat(46.5%) in order. While in parents, those were to check expiry date(95.6%), additives(59.0%), and manufacturer(45.8%). Similarly, the most three important items in food labels were expiry date, price, and quantity to the students, but to the parents they were expiry date, manufacturer, and ingredient. The most significant reason not to confirm food labels was because of small size and complication of labels. The students who did not read food labels had more snacking money and more frequent snacking, and showed lower recognition score of processed food, compared with the students who read food labels. In conclusion, the students did not well recognise processed foods and only a half of them read food labels at purchasing. The recognition score of processed foods, snacking moneys, and snacking frequency may be influencing factors on the reading of food labels in students. The high recognition of processed food of parents may positively affect the students' recognition, but did not affect directly the reading food labels.

• Asian Pacific Journal of Cancer Prevention
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• 제14권6호
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• pp.3699-3703
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• 2013

Background: This study aimed to show the localization of estrogen / progesterone receptors, human epidermal growth factor receptor 2 (Her-2) and protein 53 (p53) by immunohistochemistry in a series of consecutive breast cancer patients. Materials and Methods: The study covered invasive breast cancers from 299 patients presenting at the Oncogenetic Clinic and Pathology Centers of Ahwaz Jondishapour University of Medical Sciences Hospital in Iran during the time period from 2009 to 2011. The Scarff-Bloom Richardson scoring method was used. Results: Of the 299, 27% (80/299) were <40, 33% (100/299) were 41-50, and the remaining 40% (119/299) were>50 years old. The highest incidence of breast cancer in this study population was in the group of more than 50 year age, and the most common histological type of breast cancer was the invasive ductal carcinoma, which accounted for 68% (203/299) of the cases. Out of possible total of 207, 6% (13/207), 41% (85/207), and 53% (109/207) were scored as grade I, II, III, respectively. Conclusion: Our findings demonstrated a lack of association between labeling for the markers studied and tumor size and age of the patients. We confirmed an association between ER labeling and nuclear grade of breast cancer. The conflicting results obtained compared with the literature be because of differences in the immunohistochemical techniques applied in the various studies and to the scoring systems used.

• 분석과학
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• 제30권1호
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• pp.1-9
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• 2017

Starch is a mixture of amylose (AMY) and amylopectin (AMP) which are different in physical properties such as molar mass (M), rms radius ($R_g$) and hydrodynamic diameter ($d_H$). The rheological and functional properties of starch are influenced by various factors including the molecular size, molar mass distribution (MD) and the concentration ratio of AMY and AMP. It is also important to analyze proteinaceous material in starch as they affect the flavor and texture of food to which starch is added. In this study, asymmetrical flow field-flow fractionation (AF4) was employed for separation and quantitation of AMY and AMP in starches (Amaranth, potato, taros and quinoa). AF4 was coupled with a multi-angle light scattering (MALS) and a refractive index (RI) detector for determination of the absolute M, MD and molecular structure. It was found that AMP has the M and $R_g$ ranging $3.7{\times}10^7{\sim}6.5{\times}10^8g/mol$ and 84 ~ 250 nm, respectively. Also the existence of branch was confirmed in higher M. In addition, proteinaceous material in starch was analyzed by AF4 coupled with a fluorescence detector (FS) after fluorescence-labeling. AF4-FS with fluorescence-labelling showed a potential for investigation on existence of proteinaceous material and the interaction between proteinaceous material and polysaccharide in starch.

• 전자공학회논문지
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• 제50권11호
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• pp.188-194
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• 2013

본 논문에서는 폐 영상에서 폐 혈관을 분할하고 정제하는 방법을 제안하였다. 제안된 방법은 다음과 같이 다섯 단계로 구성된다. 첫 번째, 폐 영상에서 히스토그램 변화율의 다항식 회귀 분석을 사용하여 임계값을 계산한다. 두 번째, 계산된 임계값으로 밝기값 기반 분할 방법을 사용하여 폐 혈관을 분할한다. 세 번째, 분할한 폐 혈관 영상에 2차원 연결 요소 레이블링 방법을 사용하고, 레이블링 요소의 크기와 이심률을 계산하여 좌측 및 우측 횡격막의 씨앗점을 결정한다. 네 번째, 결정된 씨앗점에서 3차원 영역 성장법을 사용하여 횡격막을 추출한다. 다섯 번째, 이진 영상의 3차원 연결 요소 레이블링 방법을 사용하여 폐 혈관 영상의 노이즈를 제거한다.

• 대한방사성의약품학회지
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• 제1권2호
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• pp.104-108
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• 2015

Human serum albumin (HSA) has potential for diagnosis and therapy in clinical setting. The purpose of experiments was to develop and evaluate $^{68}Ga$-HSA as a PET agent for diagnosis of acute inflammation. NOTA-HSA was synthesized by conjugating 2-(p-isothiocyanatobenzyl)-1,4,7-triazacyclononane-1,4,7-triacetic acid to HSA in 0.1 M sodium carbonate buffer (pH 9.5) and then purified using a PD-10 size-exclusion column. NOTA-HSA was labeled with $^{68}Ga$ at room temperature for 10 min, and 8.4% sodium hydrogen carbonate buffer was added for neutralization. $^{68}Ga$-NOTA-HSA was purified using alumina N plus light cartridge and $0.22{\mu}m$ syringe filter. Labeling efficiency and radiochemical purity were determined by ITLC-SG with 0.1 M citric acid. Biodistribution study was performed in a male BALB/c mice model of Carrageenan-induced acute inflammation. Animal PET study was performed in acute inflammation mice model after tail vein injection of $^{68}Ga$-HSA. This radiotracer showed high labeling efficiency (>99%) around pH 7. Biodistribution study showed higher inflamed footpad uptake than control footpad uptake. Animal PET study revealed 2 times higher uptake on inflamed footpad compared to control footpad. In these experiments, we developed $^{68}Ga$-HSA for acute inflammation PET imaging and evaluated it in a mouse disease model. The results demonstrated that $^{68}Ga$-HSA has potential as a PET imaging agent for diagnosis of acute inflammation.

• 대한지역사회영양학회지
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• 제8권2호
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• pp.220-230
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• 2003

The purpose of this study was to investigate consumer preferred formats of nutrition labels: the type of nutritional information provided on the labels. A survey was conducted on 222 housewives between the age of 20 and 65 in Daejeon city in 1998, using an interview questionnaire showing illustrated nutritional label formats. Among twelve nutrients and caloric values listed on the nutrition labels, the housewives ranked their interest in the items in the following order of calorie (58.56%), calcium (56.76%), cholesterol (54.05%), protein (39.19%) and vitamin C (36.04%). The majority of the subjects (69.37%) checked labels when they bought milk or dairy products, whereas only 8.11% looked at labels when they bought Ramyon or noodles. Most of the subjects (90.99%) preferred products with labels with nutritional information as compared with products without labels. this was especially so true of the younger individuals and of pc-ople who checked food labels more frequently. The subjects preferred labeling which described the nutrient content per Package (55.41%), sewing size (32.88%) and food weight of 1009 (11.71%) as a standard nit. Generally, they prefer-red a simplified list to a detailed list of the number of nutrients, a figure graph to bar graph in nutrition claim, vertical bar graph to horizontal bar graph showing the nutritional content of foods and a web-type graphic format to a radiation-format when describing the item's percentage of the Korean RDA's nutrient content. The subjects who checked labels frequently especially preferred detailed list, while housewives with job or with unhealthy family members preferred a simplified list and graphic, rather than a numerical display. From this result, it is suggested that providing consumers with more nutrients information in a more easily understood graphic format would encourage the consumers to check nutritional labels. Therefore this should be considered when developing the regulations far nutrition labeling or when educating the Public about nutrition. (Korean J Community Nutrition 8(2) : 220∼230, 2003)

• 전기전자학회논문지
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• 제24권4호
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• pp.1141-1147
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• 2020

말벌 종은 모양이 매우 유사하기 때문에 비전문가가 분류하기 어렵고, 객체의 크기가 작고 빠르게 움직이기 때문에 실시간으로 탐지하여 종을 분류하는 것은 더욱 어렵다. 본 논문에서는 바운딩 박스를 이용한 딥러닝 알고리즘을 기반으로 말벌 종을 실시간으로 분류하는 시스템을 개발하였다. 훈련 영상의 레이블링 작업 시 바운딩 박스 안에 포함되는 배경 영역을 최소화하기 위하여 말벌의 머리와 몸통 부분만을 선택하는 방법을 제안한다. 또한 실시간으로 말벌을 탐지하고 그 종을 분류할 수 있는 최선의 알고리즘을 찾기 위하여 기존의 바운딩 박스 기반 객체 인식 알고리즘들을 실험을 통하여 비교한다. 실험 결과 컨볼루션 레이어의 활성함수로 mish 함수를 적용하고, 객체 검출 블록 전에 공간집중모듈(Spatial Attention Module, SAM)을 적용한 YOLOv4 모델을 사용하여 말벌 영상을 테스트한 경우 평균 97.89%의 정밀도(Precision)와 98.69%의 재현율(Recall)을 나타내었다.

• 한국BIM학회 논문집
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• 제13권4호
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• pp.96-105
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• 2023

This study focuses on developing a building object recognition technology for efficient use in the remodeling of buildings constructed without drawings. In the era of the 4th industrial revolution, smart technologies are being developed. This research contributes to the architectural field by introducing a deep learning-based method for automatic object classification and recognition, utilizing point cloud data. We use a TD3D network with voxels, optimizing its performance through adjustments in voxel size and number of blocks. This technology enables the classification of building objects such as walls, floors, and roofs from 3D scanning data, labeling them in polygonal forms to minimize boundary ambiguities. However, challenges in object boundary classifications were observed. The model facilitates the automatic classification of non-building objects, thereby reducing manual effort in data matching processes. It also distinguishes between elements to be demolished or retained during remodeling. The study minimized data set loss space by labeling using the extremities of the x, y, and z coordinates. The research aims to enhance the efficiency of building object classification and improve the quality of architectural plans by reducing manpower and time during remodeling. The study aligns with its goal of developing an efficient classification technology. Future work can extend to creating classified objects using parametric tools with polygon-labeled datasets, offering meaningful numerical analysis for remodeling processes. Continued research in this direction is anticipated to significantly advance the efficiency of building remodeling techniques.

• Journal of Chest Surgery
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• 제38권12호
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• pp.835-843
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• 2005

배경: 분자학적 표지자들과 식도암과의 관련성에 대해서 아직 뚜렷하게 밝혀진 바가 없다. 본 연구에서는 먼저 p53, Cyclin D1과 Ki67 지수 등 종양 표식자가 국내 식도암 환자에서 수술 후 얻어진 식도암 조직의 병기, 악성도, 임파선 전이 여부 등과 어떠한 관련성이 있는가를 알아보고 이를 이용해 향후 국내 식도암 환자에 대한 예후 분석 및 치료방침 결정 그리고 조기발견에 이용할 수 있는지 알아보았다. 또한 본 연구는 분자학적 표지자들의 임상적용의 기초를 마련하고자 하는 목적으로 시행하였다. 대상 및 방법: 1992년 3월부터 수술 후 조직절편이 보존된 124명의 환자를 대상으로 하였다. 조직절편의 파라핀을 제거한 뒤에 p53 변이, Cyclin D1의 과발현, Ki67 지수에 대한 면역조직화학 염색법을 시행하였으며 조직슬라이드상에서 세포분열지수를 구하였다. 이 결과와 임상적인 변수들과의 상관관계를 분석하였고, 환자의 생존 및 재발 결과와 비교하였다. 결과: 환자의 성별, 나이, 병기, 종양 크기, 타장기 전이 여부, 국소적인 재발 여부와 p53의 변이, Cyclin D1의 과발현, Ki67 지수, 세포분열 지수에 따른 통계적으로 유의한 차이는 없었다. Ki67 지수는 40 미만인 경우와 40 이상인 경우로 나누었을 경우 통계적으로 유의하게 생존기간에 있어서 차이가 나는 것으로 나타났으나(p=0.011) 다른 표지자들은 생존기간에 유의한 차이를 보이지 않았다. 결론: 높은 Ki67지수는 식도의 편평상피암의 예후에 나쁜 영향을 미치는 것으로 나타났으나 다른 표지자들은 영향을 미치지 않았다 이번의 연구를 통해 분자학적인 지표들이 임상적으로 가치 있는 인자가 될 수 있다고 판단되었다.