• Fashion & Textile Research Journal
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• v.16 no.2
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• pp.301-311
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• 2014

This study finds information about the image and improvements of hiking gear and examines the influence of heat moisture, psychology, tactile sensation, and mobility/pressure related properties on wear comfort. The relationships of the four related properties and personal characteristics (such as sex, age, BMI and sensitivity) were also checked. Questionnaires were distributed to 400 people in their 40s and 50s; subsequently, 260 were used for data analysis. The questionnaires were comprised of questions about the general hiking characteristics, images and improvements in hiking gear, influence of the four properties on wear comfort, and demographic characteristics. Data were analyzed by frequency analysis, correlation analysis, ANOVA, T-test using SPSS 21 IBM for Windows. The results of this study are as follows. It was shown that people in their 40s and 50s usually went hiking two to four hours with friends or family once to three times a month. Jacket had the largest number of wearing frequency, followed by pants, t-shirts, and inner wear. Consumers' images of hiking gear were positive and the demands for improvements in hiking gear were price, unique design, and vivid color. The order of influence of the four properties on wear comfort was heat moisture, mobility/pressure, tactile sensation, and psychology related properties. The four properties of wear comfort were not influenced significantly by consumer sex, age, BMI, and sensibility.

• The Research Journal of the Costume Culture
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• v.9 no.6
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• pp.818-829
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• 2001

The purposes of this study were to segment the men in twenties and thirties according to clothing benefits sought, and to develop a profile of each segment concerning shopping orientation, self·image, and importance of store attributes. The questionnaire was administered to men in twenties and thirties living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, and MANOVA(multivarite analysis of variance). By cluster analysis of clothing benefits sought, three groups were identified and labeled as: (1) the group of focusing the influence of other people and comfort clothing(31.7%): (2) the group of pursuing the fashion trend (48.1%); the group of pursuing the individuality(20.1%). Three groups were then compared through MANOVA on shopping orientation, importance of store attributes, and self-image. Significant differences were found among three groups on three variables. In general, the group of focusing the influence of other people and comfort clothing tended to be ostentatious and tended to wear comfortable clothing. The group of pursuing the fashion trend didn't show specific shopping orientation and just liked to follow the current fashion trend. The group of pursuing the individuality enjoyed the shopping and liked to buy the clothing which enhances the personal character.

• Science of Emotion and Sensibility
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• v.9 no.2
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• pp.101-109
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• 2006

If a salesperson is able to juage consumers' purchasing preferences by looking at their eyebrows shapes, he might be able to set up his sales strategies that will be helpful for the sales. In order to set up this kind of strategy, the difference of purchasing preferences in relation to the eyebrows shapes must be defined clearly. The purpose of this study is to analyze the difference of purchasing preferences according to eyebrows shapes. We group eyebrows shapes into five classes in physiognomy, and Analyze the difference of purchasing preferences according to eyebrows shapes. The result shows that compared with people with rising tails of eyebrows, people with declined ones prefer common, simple, gentle and noble clothing image.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.182-190
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• 2021

Deep learning is an advanced technology for large-scale data analysis, with numerous promising cases like image processing, object detection and significantly more. It becomes customarily to use transfer learning and fine-tune a pre-trained CNN model for most image recognition tasks. Having people taking photos and tag themselves provides a valuable resource of in-data. However, these tags and labels might be noisy as people who annotate these images might not be experts. This paper aims to explore the impact of noisy labels on fine-tuning pre-trained CNN models. Such effect is measured on a food recognition task using Food101 as a benchmark. Four pre-trained CNN models are included in this study: InceptionV3, VGG19, MobileNetV2 and DenseNet121. Symmetric label noise will be added with different ratios. In all cases, models based on DenseNet121 outperformed the other models. When noisy labels were introduced to the data, the performance of all models degraded almost linearly with the amount of added noise.

• Korean Institute of Interior Design Journal
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• v.20 no.2
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• pp.20-29
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• 2011

This research is based on the environmental psychology model of Albert Mehrabian & JAMES a. Russell. The purpose of this research is to search a method of planning a spatial image improving the degree of access that is audience's dependent response to a display space image of a museum for children. A museum for children is the place for education with experience and its main audience is children and parents. It indicates with a basis of the environmental psychology model that a designer needs to consider the emotional response of children and parents in designing the space. The space design starts from a plan of space image that is delivered to audience through the five senses. Image on the space means visual image as people acquire information mostly through the sense of sight. Visual image consists of shape, the feel of a material, and color that is the most influential factor to the sensibility of audience. Therefore, firstly, this research measures the degree of audience's approach and avoidence on image of display space. In addition, this research suggests the improvement method by analyzing differences on the access of each space and audience based on visual image. Secondly, four factors are extracted through factor analysis based on the result of adjective survey result.

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.510-522
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• 2018

As the major source of information, digital images play an indispensable role in our lives. However, with the development of image processing techniques, people can optionally retouch or even forge an image by using image processing software. Therefore, the authenticity and integrity of digital images are facing severe challenge. To resolve this issue, the fragile watermarking schemes for image authentication have been proposed. According to different purposes, the fragile watermarking can be divided into two categories: fragile watermarking for tamper localization and fragile watermarking with recovery ability. The fragile watermarking for image tamper localization can only identify and locate the tampered regions, but it cannot further restore the modified regions. In some cases, image recovery for tampered regions is very essential. Generally, the fragile watermarking for image authentication and recovery includes three procedures: watermark generation and embedding, tamper localization, and image self-recovery. In this article, we make a review on self-embedding fragile watermarking methods. The basic model and the evaluation indexes of this watermarking scheme are presented in this paper. Some related works proposed in recent years and their advantages and disadvantages are described in detail to help the future research in this field. Based on the analysis, we give the future research prospects and suggestions in the end.

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.549-557
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• 2004

The purpose of this study is to investigate design properties affecting in evaluated image by adult women's town wear in un-limited circumstance. The stimulus, adult women's town wear, were collected from shopping mall, department stores and churches and evaluated by 20's 150 people. Through the estimations, the 76 pictures of 'good image' and 65 pictures of 'bad image', were selected and analyzed by classification categories. The results were as follows : 1) 'Good Image' is classified 6 groups which are like active casual, feminine casual, adult casual, modern, sporty casual, and elegance. 2) "Bad Image' is classified 5 groups which are like easy casual, active casual, soft casual, modern casual, and feminine casual. 3) Central code of adult women's town wear from 'Good Image' are simple, bright, and harmony and 'Bad Image' are complicate, heavy, and inharmony. The coordination, how to wear, is very important to evaluate image of women's town wear with other properties. Also, body shape appeared by important variable in evaluation.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.558-570
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• 2018

Recently, object detection is a critical function for any system that uses computer vision and is widely used in various fields such as video surveillance and self-driving cars. However, the conventional methods can not detect the objects clearly because of the dynamic background change in the beach. In this paper, we propose a new technique to detect humans correctly in the dynamic videos like shores. A new background modeling method that combines spatial GMM (Gaussian Mixture Model) and temporal GMM is proposed to make more correct background image. Also, the proposed method improve the accuracy of people detection by using SVM (Support Vector Machine) to classify people from the objects and KCF (Kernelized Correlation Filter) Tracker to track people continuously in the complicated environment. The experimental result shows that our method can work well for detection and tracking of objects in videos containing dynamic factors and situations.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.225-235
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• 2010

People are getting more interested in 3D stereoscopic movie, but due to the sudden concern, there is less research how 3D stereoscopic movie influence on people. The present research aims at developing 3D stereoscopic movie measurement. For this, we tested three variables which are perceived functionality, impression, and presence. Perceived functionality is defined as how people perceive functions of 3D stereoscopic movie for instance depth, and impression is defined as how people integrate various information as a total image. Finally, presence is a psychological state that individual's perception fails to accurately acknowledge the role of the technology in the experience. As a result, perceived functionality consists of four factors, impression consists of eight factors, and presence consists of three factors. As an exploratory research, we cannot guarantee the validity of the measurement, but as a seminal research it is worthwhile to pay attention.

• Korean Institute of Interior Design Journal
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• no.16
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• pp.182-189
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• 1998

The existential space concept which introduced the sense of place that began emerging recently together with the change of space concept results from people's fundamental existential humane aspect as the subject of perceptive experience. The tendencies of enlargement layering and diversification which we can see in contemporary architecture imply the possibility that elements of urban image can be incorporated into interior design. This study utilizes Kevin Lynch's theory which tries to relate environment to existential space. In this study we re-analyze and apply Lynch's $\ulcorner$the Theory of Urban Image$\lrcorner$to interior space and using the conclusion from a case study examine the applicability of the theory about visual perception to interior design. This study considers a new method of analysis to perceive and grasp interior space through the understanding of the cognitive map and image concept.