• Archives of design research
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• v.12 no.4
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• pp.161-170
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• 1999

In recent days, consumer's product selection various with diverse life style, not simply with income class. This in why diversified demand and diversified products appear in every industry, which means the success or failure of business relies on tis ability to yield the best productivity under the condition of diversification. The purpose of this study is to discuss how an automaker can create its unique identity and brand image in automobile industry and what's brand role and value, under the recognition that clarifying a target market in development process is indispensable to developing a product of higher marketability. By building and applying a product of higher marketability. By building and applying a brand-unique consistent design identity, it's intended to meet the increasing requirements of product attribute for symbolism or sensitivity so as satisfy or exceed customer expectation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.108-111
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• 2022

Applying deep learning to machine vision systems for defect detection of products requires vast amounts of training data about various defect cases. However, since data imbalance occurs according to the type of defect in the actual manufacturing industry, it takes a lot of time to collect product images enough to generalize defect cases. In this paper, we apply a Siamese neural network that can be learned with even a small amount of data to product defect detection, and modify the image pairing method and contrastive loss function by properties the situation of product defect image data. We indirectly evaluated the embedding performance of Siamese neural networks using AUC-ROC, and it showed good performance when the images only paired among same products, not paired among defective products, and learned with exponential contrastive loss.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.111-117
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• 2019

This paper analyzes the unique consume psychology characteristics of the youth consumer groups, analyzes art collaboration in the cosmetics products design, and takes the cushion cosmetic product as example, and study the expression of art collaboration between the character image and the cosmetic products. The purpose of research is to improve the product value and brand image by analyzes the art collaboration of cosmetics product, In order to provide consumers with novel and personalized product experiences, and to make products more attractive to the youth consumer groups. It can be provided some reference and inspiration for the future direction of cosmetic packaging design for the youth consumer groups.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.233-240
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• 2023

Nutrition information about food is written on the label paper, which is very inconvenient for visually impaired people to recognize. In order to solve the inconvenience of visually impaired people with nutritional information recognition, this paper proposes a product nutrition information guide system for visually impaired people. In the proposed system, user's image data input through UI, and object recognition is carried out through YOLO v5. The proposed system is a system that provides voice guidance on the names and nutrition information of recognized products. This paper constructs a new dataset that augments the 319 classes of canned/late-night snack product image data using rotate matrix techniques, pepper noise, and salt noise techniques. The proposed system compared and analyzed the performance of YOLO v5n, YOLO v5m, and YOLO v5l models through hyperparameter tuning and learned the dataset built with YOLO v5n models. This paper compares and analyzes the performance of the proposed system with that of previous studies.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1509-1521
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• 2008

The subjects of this study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of apparel quality in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, apparel product quality is composed of five parameters: practicality, aesthetics, brand image, ease of care and fit. For the parameters of apparel product quality, the result of this study show that product improvements are needed in fit, aesthetics and practicality(in order of importance). The level of satisfaction(how satisfied consumer feels) was marked higher in brand image than that of importance(how important it is). To review demands for the apparel product attributes of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. Material was the most important design element in designing formal suits. The shape of the pants was the second because the harmony between the jacket and the pants is important in formal suits. These were followed by trim and color tone of the jacket.

• Korean Journal of Poultry Science
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• v.26 no.1
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• pp.43-50
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• 1999

The features of special brand eggs are growing more and more diverse and it is hard to draw a clear distinction between these and ordinary (no-brand) eggs. Special brand eggs range from those with objectively recognizable characteristics to those given only an unsubstantial product image and price differentials are among them great, too. The relation between product features and prices is unclear. Special brand eggs are the commodity whose characteristics are the vaguest of all livestock products. Farm's brand eggs produce a high profitability to producers is they are directly sold to consumers, by, for example, home-delivery service. But if they are sold to supermarkets, etc., producer's (poultry farmer's) income becomes lower by the amount of distributors' margin, reducing the profitability substantially. Thus how to increase the ration of retailing is important for farmers to secure a high profit. The sales strategies of poultry are the combination of two elements, that is, new product development (product differentiation) and creation of new market. But it is difficult for special brand egg producers to develop products with clear characteristics (use value) distinct form ordinary eggs and so these producers depend on the factors of appearance, such as the color of egg shells and package. Special brand eggs manage to keep their marketable value by the combination of the few product features and product image. Thus NB eggs from feed producers have a great market-ability since they can take advantage of the power of patents and TV commercials. However, market differentiation affects profitability much more than product features and price gaps are very wide between directly sold and wholesaled eggs. The producers of special brand eggs have come to the turning point where they have to decide whether they will content with being the subcontractors for NB and PB eggs or they will continue to keep their independence in production and marketing.

• Communications of the Korean Mathematical Society
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• v.30 no.1
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• pp.1-5
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• 2015

Let G be a cyclic group of prime power order. There is a natural embedding of $\mathbb{Z}[G]$ into a product of rings of integers of cyclotomic fields. In this paper the image of the embedding is determined, and we also compute the index of the image.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.8
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• pp.1367-1377
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• 2001

Cousumers developed self-image through clothing symbolic product for reveal one’self image. When consumers select particular brand of various brand in the market that congruent with one’self image. They have to continue image. In this purpose, the research model was constituted and the questionnaire was made, reviewing preceding studies on self-image, shopping orientation. As for the method of the research, 635 female consumers were the object for the data of this research. The major results of this were as follows: 1. The factor or real self-image was composed of four factors: the refined and deluxe image, casual and simple image, decorous and dressy image, quiet and feminine image. 2. The consumer with real self-image were classified three groups: the group of feminine and dressy image 288 persons, the group of casual image 167 persons and poor image 171 persons. In the consumer’s classified real purchasing brand-image the group of feminine and dressy image was given higher score at feminine and refined and deluxe image, the group of casual image was given higher score at casual and active. 3. The factor of shopping orientation was composed of four factors: pleasant, planned, loyal, recreational shopping orientation. The group of feminine and dressy image was given higher score at pleasant and planned shopping orientation, the group of casual image was given lower score loyal and confident shopping orientation than the other group.

• 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.65-84
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• 2006

In this paper, we present an improved image formation model and propose a color image enhancement based on the model. In the presented image formation model, an input image is represented as a product of global illumination, local illumination, and reflectance. In the proposed color image enhancement, an input RGB color image is converted into an HSV color image. Under the assumption of white-light illumination, the H and S component images are remained as they are and the V component image only is enhanced based on the image formation model. The global illumination is estimated by applying a linear LPF with wide support region to the input V component image and the local illumination by applying a JND (just noticeable difference)-based nonlinear LPF with narrow support region to the processed image, where the estimated global illumination is eliminated from the input V component image. The reflectance is estimated by dividing the input V component image by the estimated global and local illuminations. After performing the gamma correction on the three estimated components, the output V component image is obtained from their product. Histogram modeling is next executed such that the final output V component image is obtained. Finally an output RGB color image is obtained from the H and S component images of the input color image and the final output V component image. Experimental results for the test image DB built with color images downloaded from NASA homepage and MPEG-7 CCD color images show that the proposed method gives output color images of very well-increased global and local contrast without halo effect and color shift.

• Journal of Korea Multimedia Society
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• v.18 no.1
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• pp.25-34
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• 2015

Recently, in distribution market, demand for electronic shelf label system is increasing gradually to provide the accurate price immediately and detailed product information to consumers and reduce operation costs. Most of electronic shelf label system companies develop the full-graphic display device to display a wide variety of product information as well as the exact price. Our system had introduced Go-Back-N retransmission method in the early. However, we encountered performance problems that it delayed updating of the electronic shelf label system and exhausted the battery life time. Proposed adaptive image retransmission technique based on the selective scheme is that tags of electronic shelf label system recognize idle time of transmission cycle and require partial image retransmission to sever by itself. As a result, it can acquire much more opportunities of partial image retransmission within the same period and increase reception rate of full image for each tags. The experimental result shows that adaptive image retransmission technique's reception rate of full image for each tags is approximately 4% higher than existing previous works. And total battery life time increases 30 hours because tag reduce wake-up time as it receive only lost data instead of whole data.