• 한국정보통신학회논문지
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• 제5권6호
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• pp.1157-1162
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• 2001

본 논문에서는 영상 처리 기법을 이용하여 칼라 팔레트 외형상의 불량품을 식별하는 연구를 수행하고자 한다 먼저 기본적인 팔레트 자동선별시스템의 필요성에 대해 기술하며, 각 샘플링된 팔레트에 대해 영상처리기법을 이용한 불순물 검출 알고리즘을 제안하고자 한다. 또한 이를 상용화할 수 있도록 윈도우환경의 비전처리 프로그램을 제시하였다. 끝으로 본 연구에 대한 평가와 앞으로의 연구과제에 대해 기술하고자 한다.

• Natural Product Sciences
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• 제25권4호
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• pp.298-303
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• 2019

This study investigated the cytotoxic effects and mechanism of action of asiatic acid in pancreatic cancer cell lines. First, we confirmed the cell viability of MIA PaCa-2 and PANC-1 cells after asiatic acid administration for 48 and 72 h. The viability of MIA PaCa-2 and PANC-1 cells decreased in a dose-dependent manner following asiatic acid administration. To investigate the underlying mechanism, we performed a terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay, annexin V assay, and western blotting. Asiatic acid induced apoptosis and autophagy through activation of AMP-activated protein kinase (AMPK) and inhibition of mammalian target of rapamycin (mTOR) in MIA PaCa-2 cells. Finally, the expression of miR-17 and miR-21, known as oncogenes in pancreatic cancer, was decreased by asiatic acid. These results indicate that asiatic acid has potential as a new therapeutic agent against pancreatic cancer.

• International Journal of Internet, Broadcasting and Communication
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• 제9권3호
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• 경영과학
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• 제32권3호
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• pp.1-12
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• 2015

This study aims to analyze the efficiency of the government policy of Nanotechnology which is expected to minimize nanotechnology's potential risk, using the methodology of conjoint analysis and market share analysis. The attributes of conjoint analysis were divided into potential risk factor and the policy factor. It was found that the policy factor could alleviate the potential risk, subsequently increasing consumers' utility. Additionally, the government certification was more powerful than the mandatory labelling. The market share also increased in result of the nanotechnology-applied product with the certification or labeling either. The result of this study can be used as a reference to related policy makers in the fields of Nanotechnology.

• 융합신호처리학회논문지
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• 제1권1호
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• pp.89-96
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• 2000

본 논문에서는 이동 통신용 단말기에 주로 사용되는 RF-chip inductor의 자동 외관검사를 위한 시스템에 필요한 알고리즘을 제안하였다 제안한 방법은 취득한 영상에 국부적응 이진화 방법, 가산투영 기법을 적용하여 코일 부분과 코어 부분을 분리한다. 분리된 코일부분에 세선화(thinning) 방법, 체인코드(chain-code) 방법, 라벨링(labeling) 방법 등을 적용하여 코일성분을 추출하여 코일의 길이, 연결성, 코일의 turn수 그리고 피치간격에 의한 불균일 검사를 수행하여 소자의 불량 유무를 검사한다. 제안한 방법의 성능을 시험하기 위해 여러 가지 부품에 대한 모의실험을 통해 제안된 알고리즘의 성능을 검증하였다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.569-571
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• 2010

본 논문에서는 플라스틱 제품의 공정 과정에서 발생하는 미성형, 이물질, 찍힘 등의 제품 불량을 검사하기 위한 비전 검사 시스템을 개발한다. 본 시스템의 검사 알고리즘은 플라스틱 제품의 곡면구조를 고려한 영상 2치화, 모폴로지 연산을 이용한 영상의 노이즈 제거 및 후보영역 구분을 위한 레이블링 기법, 최종 결함 유무 판단을 위한 영상 필터링 및 캘리브레이션(Calibration) 방법 등으로 구성된다. 또한 사용자를 고려한 GUI(Graphical User Interface) 기반의 고속 영상처리 알고리즘 개발을 통해 검사 효율 및 성능을 향상시킨다. 본 검사 시스템의 정확도, 검사 알고리즘 처리 시간 등의 평가를 통해 시스템의 유효성을 확인하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.455-463
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• 2021

The purpose of this study is to identify the relationship between firm's green marketing approach and firm's reputation improvement among customers. To investigate the object of the current study and provides adequate material to fill a gap in the literature, the current author collected abundant textual data from numerous extant literature. Because the author needed to augment about reliability and validity, textual data from trusted peer-reviewed sources was obtained from numerous databases. Based on a large body of literature, this study suggests that companies have to declare their stand based on their positioning to safeguard their reputation as an entity and that of its products and services. The five components of a company adopting a recognized environmental marketing strategy include product strategy, demand strategy, pricing strategy, distribution strategy, and labeling strategy Thus, firms' environmental marketing strategies have to be designed with the complete intent of transformation as a solution to enhance their reputation. The current study concludes that the comparison of environmental marketing strategies does not correctly help in ranking the concern in an effective way, and describe the exact details needed in each of the five categories for a company to carry its operations in a sustainable fashion.

• 한국식생활문화학회지
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• 제38권3호
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• pp.154-162
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• 2023

This study investigated the awareness and consumption behavior of 118 vegetarians and omnivores toward plant-based dairy alternatives. The preference and choice attribute questionnaires were compared. Significant differences were obtained between the two groups when considering the purchase experience, preference, and selection attributes of plant-based dairy alternatives. Vegetarians had more experience purchasing plant-based dairy alternative products. In both groups, environmental and animal protection were the major factors that influenced the highest response rate for purchasing plant-based dairy alternatives. The preference score of vegetarians for plant-based dairy alternative products was high, indicating that vegetarianism had a significant effect on their preference for plant-based dairy alternative products. Analysis of selection attributes revealed that price, product weight, appearance, and manufacturer were considered important by vegetarians, whereas nutritional components and labeling, manufacturing environment, composition of ingredients, and taste and texture were considered more important by the omnivores. Results of this study can be used as basic data for the future development of the fast-growing industry producing plant-based dairy alternative products.

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.149-162
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• 2023

Purpose In the textile industry, fabric defects significantly impact product quality and consumer satisfaction. This research seeks to enhance defect detection by developing a transformer-based deep learning image segmentation model for learning high-dimensional image features, overcoming the limitations of traditional image classification methods. Design/methodology/approach This study utilizes the ZJU-Leaper dataset to develop a model for detecting defects in fabrics. The ZJU-Leaper dataset includes defects such as presses, stains, warps, and scratches across various fabric patterns. The dataset was built using the defect labeling and image files from ZJU-Leaper, and experiments were conducted with deep learning image segmentation models including Deeplabv3, SegformerB0, SegformerB1, and Dinov2. Findings The experimental results of this study indicate that the SegformerB1 model achieved the highest performance with an mIOU of 83.61% and a Pixel F1 Score of 81.84%. The SegformerB1 model excelled in sensitivity for detecting fabric defect areas compared to other models. Detailed analysis of its inferences showed accurate predictions of diverse defects, such as stains and fine scratches, within intricated fabric designs.

• 한국식품위생안전성학회지
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• 제37권5호
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• pp.339-346
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• 2022

본 연구에서는 기능성 원료를 첨가하여 기능성 표시제도를 적용한 검은콩 선식 제품의 품질 특성 및 항산화활성을 비교하였다. 입도 분포의 경우, BS와 BSN에서 각각 118.00±12.09 ㎛ 127.00±14.73 ㎛ 로 유의미한 차이를 보이지 않았으며, 색도 또한 L, a, b에서 모두 유의미한 차이를 보이지 않았다. 수분 결합력에서는 BS 및 BSN에서 각각 241.67±30.66% 및 216.33±13.01%를 나타내었고 pH는 BSN에서 5.45±0.03로 BS(6.00±0.04)에 비해 낮은 수치를 보였다. 총 페놀함량은 BS 및 BSN에서 각각 1.75±0.26 mg GAE/g 및 1.61±0.19 mg GAE/g로 나타났고, 총 플라보노이드 함량 역시 BS가 6.36±0.3419 mg RE/g로 BSN 5.95±0.54 mg RE/g와 비교해 볼 때 유의미한 차이를 보이지 않았다. 항산화 활성의 경우, 모든 항산화 측정 시험법에서 BS 및 BSN 모두 농도의존적으로 항산화 활성을 증가하는 경향을 보였으며 두 시료간의 항산화 활성의 유의미한 차이를 보이지 않았다. 이상 결과들을 종합해볼 때, 검은콩 선식에 기능성원료 첨가에 따른 선식 제품의 품질특성에는 큰 변화가 관찰되지 않았으며 항산화활성 등의 고유 기능성도 유지되는 것으로 나타났다. 따라서, 기능성 원료를 첨가하여 제조한 검은콩 선식 제품의 경우 기능성 표시제도를 통해 소비자 니즈에 부합하며 기능성이 향상된 제품화가 가능할 것으로 사료되며, 향후 감각화학적 측면에서 기능성원료에 의한 관능적 특성의 변화 등의 연구가 추가되면 선식제품의 고부가가치화에 기여하는 바가 클 것으로 사료된다.