• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.6 s.312
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• pp.85-96
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• 2006

This paper deal with a method for efficient placing 2 dimensional virtual labels on the view plane. The proposed method has suitable computational costs for realtime processing and it overcomes the local minima problem which is not solved in previous automatic label placement algorithms, and also it enhances readability by placing labels in less congestion area on the view plane. Background analysis must be considered for label placement. However previous works do not concern with this problem seriously. And furthermore, automatic label placement algorithm and background analysis algorithm have been studied separately in their own field. This paper proposed the background analysis method using background color and texture component to enhance readability, and it is the first research about analyzing the background of color image and applying it in automatic label placement field. This paper shown improved placement performance through combining automatic label placement algorithm and background analysis algorithm organically, and various experiments verified it.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.27 no.2
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• pp.63-70
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• 2021

As the government strengthens its policy of separating and discharging packaging materials, consumers are increasingly dissatisfied. In order to increase consumer participation in separate discharge policy of packaging materials, it is necessary to increase the willingness to participate by reducing potential consumer problems such as removal of packaging labels. This study conducted a survey of 300 consumers aged 14 and over who recycle and discharge directly from their homes. Ninety-nine percent of consumers said PET bottles are released separately. However, only 65% of consumers removed labels (attachment labels, shrink labels) and other materials (caps, vinyl coatings, tapes, handles, bases, etc.) during separate discharge process. Nearly 52% of consumers cited 'difficulty of separation' as the main reason for not removing labels and other materials. One-way ANOVA analysis showed that 'strong adhesion', 'removal initiation problem' and 'material strength' had high mean regardless of age, which are major factors impedes label removal. Using shrink labels with perforated lines rather than adhesive labels would be more beneficial to encouraging participation in separate discharge. However, if the shrink labels do not have perforated lines or are difficult to remove, adhesive labels are often easier to remove than shrink labels because of the strong cohesiveness of shrink labels. As a result, how easy it is for consumers to remove the label is more important than technological differences. In order to increase consumer participation in packaging material and label separations, improvements in structural design are needed along with the selection of materials that are easy to separate. This study is meaningful in examining consumer perceptions, deriving problems and suggesting directions for policy improvement.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.341-353
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• 2013

In many practical machine learning and data mining applications, unlabeled data are inexpensive and easy to obtain. Semi-supervised learning try to use such data to improve prediction performance. In this paper, a semi-supervised regression method, semi-supervised kernel ridge regression estimation, is proposed on the basis of kernel ridge regression model. The proposed method does not require a pilot estimation of the label of the unlabeled data. This means that the proposed method has good advantages including less number of parameters, easy computing and good generalization ability. Experiments show that the proposed method can effectively utilize unlabeled data to improve regression estimation.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.602-605
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• 2021

최근 인공지능 연구가 활발히 진행되고 있는 가운데 국내외에서 오픈 데이터셋을 제공하고 있어 기술개발이 가속화되고 있다. 데이터셋은 지도학습을 위한 학습데이터로 라벨링 데이터를 포함하고 있어 다양한 라벨링 기능이 적용된 도구 개발이 필요하다. 본 논문에서는 의료영상의 라벨링 데이터를 정교하고 빠르게 생성하기 위한 라벨링 웹 애플리케이션에 대해서 기술한다. 이를 구현하기 위해서 Back Projection, Grabcut 기법을 이용한 반자동 방식과 기계학습 모델을 통해서 예측한 자동 방식의 라벨링 기능을 구현하였다. 이와 관련하여 라벨링 기능별 수행 결과를 근감소증 진단을 위한 영상 라벨링 수행결과와 정량분석 결과를 보였다.

• Journal of Environmental Policy
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• v.13 no.3
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• pp.109-133
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• 2014

With a growing concern about climate change and green house gases mitigation, carbon labeling policy has been launched in several countries as an environmental policy which connects low carbon production to low carbon consumption. This research aims to propose a model that explains consumers' attitude and brand loyalty toward carbon labeling products. This model specifies the consumer's psychological processes by which consumer values, such as autonomy and environmental values, affect carbon labeling product and corporate images and finally form brand loyalty toward carbon labeling products. Panel data were collected in two separate surveys and analyzed using a structural equation technique. Results are summarized as follows. First, consumers' autonomy value(AV) positively affects locus of control(LC) and corporate image(CI). Second, consumers' environmental value(EV) positively influences perceived consumer effectiveness(PCE), which in turn has a negative effect on perceived barriers(PB). Perceived barriers finally affect product image(PI) negatively. Third, both corporate image and product image have causal relationships with brand loyalty. Our results suggest that carbon labeling policy contributes not only to the reduction of greenhouse gases but also to the increase of consumers' attitude and brand loyalty toward carbon labeling products. This research also provides governments with directions for efficient environmental policy and firms with guidance on effective marketing strategies about carbon labeling.

• Journal of Nutrition and Health
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• v.50 no.4
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• pp.383-390
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• 2017

Purpose: This study investigated the importance and performance of food/nutrition labeling. The aim was to determine how important students consider food nutritional labeling, utilization of nutrition labels in daily life, and consumer satisfaction of current nutritional labeling. Methods: This study was conducted using a primary survey of students at one high school in Seoul. A total of 300 of 382 questionnaires were analyzed. Results: Regarding difference analysis of the importance-performance of food/nutrition labeling, importance showed higher scores than performance in all 10 attributes. According to the results of Importance and Performance Analysis (IPA), 'health, weight control and maintenance, proper dietary habits, and personal satisfaction' displayed both high importance and performance in the first quadrant. Importance of two factors (health and nutritional factor and effects of media and education) of the 10 attributes positively influenced overall satisfaction in the multiple regression analysis. Conclusion: To develop healthier food choices, it is necessary to educate adolescents about food/nutrition labeling and improve the food/nutrition labeling system.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.493-500
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• 2020

The purpose of this study is to analyze the effect of the visual element of the label design image of premium lunch boxes and general lunch boxes on purchasing intention. As a method of research, the label design images and purchase intentions of premium lunch boxes and general lunch boxes from the nation's leading convenience store brands, Seven Eleven, GS25, and CU, were investigated through a survey, T-verification was conducted based on the measured average value and standard deviation was completed after analysis with SPSS 21. The results of the study showed that the label design of premium lunch boxes was recognized by consumers as a premium image that was a point of differentiation from general lunch boxes, and that the proportion of "quality" and "menu composition" was high, This indicates that convenience store premium lunch boxes could also offer consumers a competitive edge in value that is considered premium other than "price."

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.324-333
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• 2020

This study compares the visual elements of the top five global beer brands currently in the Chinese market with those of the top five Chinese beer brands. The purpose of the research is to identify the importance of visual elements in the label design of beer package and to present the direction of efficient label design. To this end, it is a brand among visual elements of beer label design, and it investigates the label design of Chinese beer and global beer brand through the multi-accelerated comparative analysis method, focusing on color, illustration and layout, and analyzes the difference of elements appearing in the global beer label design from China by utilizing the recursive five-point scale. According to the research, the visual elements used in the Chinese beer brand were more complex compared to the global beer brand, and most layouts were similar, making the product less differentiated. On the other hand, the global beer brand has secured brand identity and differentiation based on its iconic visual elements and diversity of layout. In order to establish itself as a strong brand in consumers' minds, the Chinese beer brand needs differentiated label design through active use of unique brand design.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.424-425
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• 2023

AI 의료 영상 분석 기술은 의료 분야의 인력 부족 문제를 해결하는 방법으로 주목받고 있다. 이전 연구들은 세그멘테이션 라벨링과 질병 유무를 결합하여 판단하는데, 이 방법은 큰 비용과 시간이 소요된다. 본 논문은 의료 전문가의 세그멘테이션 라벨링 없이 병명 라벨만의 학습으로 질병을 어느 정도 진단할 수 있음을 보인다. 실험에 따르면 의미있는 결과를 확인할 수 있었다.

• Journal of Nutrition and Health
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• v.43 no.2
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• pp.197-206
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• 2010

Now a days, people eat outside of the home more and more frequently. Menu labeling can help people make more informed decisions about the foods they eat and help them maintain a healthy diet. This study was conducted to develop menu labeling system using Nutri-API (Nutrition Analysis Application Programming Interface). This system offers convenient user interface and menu labeling information with printout format. This system provide useful functions such as new food/menu nutrients information, retrieval food semantic service, menu plan with subgroup and nutrient analysis informations and print format. This system provide nutritive values with nutrient information and ratio of 3 major energy nutrients. MLS system can analyze nutrients for menu and each subgroup. And MLS system can display nutrient comparisons with DRIs and % Daily Nutrient Values. And also this system provide 6 different menu labeling formate with nutrient information. Therefore it can be used by not only usual people but also dietitians and restaurant managers who take charge of making a menu and experts in the field of food and nutrition. It is expected that Menu Labeling System (MLS) can be useful of menu planning and nutrition education, nutrition counseling and expert meal management.