• Journal of Digital Convergence
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• v.12 no.12
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• pp.601-609
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• 2014

This kind of goal orientation in Art Nouveau has provided nature-friendly designs to modern people living in a post-industrial society. For these people who want to have their own style in a natural and comfortable space and take a break from daily hectic daily routines for a moment, hair-by-night styles were created by adding the images of Greek goddesses to the nature-friendly features of Art Nouveau patterns known as 'flower pattern', 'wave pattern', and 'vine pattern'. In terms of the scope of this paper, four designs (Eos, Hestia, Artemis and Demeter) were created by using Art Nouveau patterns which are connected with flowers in an organic manner based on Rene Lalique and Emile Galle patterns.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.2
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• pp.67-73
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• 2010

We have developed a millimeter-wave passive imaging system with reflector for detection of concealed objects. We have designed a millimeter-wave sensor, control device for reflector control, and a lens for focusing of millimeter-wave signal at center frequency of 94GHz. DC signal from millimeter-wave sensor output is filtered by low pass filter and amplified by video amplifier, and then converted into digital signal by using ADC/DAQ. This signal is image processed by computer, and it is possible to obtain millimeter-wave passive image with resolution of $18{\times}64$ pixel using the fabricated system. It is shown that we can obtain the image of men and concealed object with the system.

• Journal of the Korean earth science society
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• v.25 no.8
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• pp.764-773
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• 2004

The soil in wildfire area Sacheon-myeon, Gangneung, Gangweon Province, Korea, were investigated to clarify pattern of the soils. The soils were classified into 5 types on the basis of vegetation, types of organic matter. thickness of soil horizons, and completeness of soil profile. Each type showed different erosion pattern and Landsat ETM image. Coverage of plant leaves, litter, root, ash and other organic matter was an important component that affected soil color and reflectance of Landsat image (digital number). Although the NDVI (Normalized Distribution Vegetation Index) method in the wildfire area did not show much difference in soil types, the applied supervised classification method showed characteristic pattern of Landsat ETM image of soil types. This study showed that the applied supervised Landsat TM image classification in wildfire area is an effective way to estimate the distribution of erosion pattern of soil in wildfire area.

• Composites Research
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• v.29 no.6
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• pp.353-357
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• 2016

An appropriate way to fabricate a hybrid composite containing evenly dispersed carbon nano tubes(CNTs) is to stacking B-stage resin films that contain evenly dispersed CNTs and various reinforcing fiber layers alternatively. In the present study, B-stage resin films are manufactured via shear mixing and three-roll milling. CNT dispersion in resin via these two processes are evaluated by SEM on their fracture surfaces. For more efficient process, the dispersivities are evaluated according to the number of calendering passes. Samples are made for different number of passes during calendering, and their dispersions are evaluated via SEM fractographs as well as by measuring their electrical conductivities. Additionally, the optimal process conditions are obtained by measuring the electrical conductivity and evaluating their dispersivity of the samples prepared by gap mode and force mode.

• Journal of Korea Multimedia Society
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• v.23 no.4
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• pp.539-548
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• 2020

Deep learning technology is currently being used and applied in many different fields. Convolution neural network (CNN) is a method of artificial neural networks in deep learning, which is commonly used for analyzing different types of images through classification. In the conventional classification of histopathology images of prostate carcinomas, the rating of cancer is classified by human subjective observation. However, this approach has produced to some misdiagnosing of cancer grading. To solve this problem, CNN based classification method is proposed in this paper, to train the histological images and classify the prostate cancer grading into two classes of the benign and malignant. The CNN architecture used in this paper is based on the VGG models, which is specialized for image classification. However, color normalization was performed based on the contrast enhancement technique, and the normalized images were used for CNN training, to compare the classification results of both original and normalized images. In all cases, accuracy was over 90%, accuracy of the original was 96%, accuracy of other cases was higher, and loss was the lowest with 9%.

• Journal of Internet of Things and Convergence
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• v.5 no.1
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• pp.1-6
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• 2019

This study was intended to verify the impact on the quality of service for employees of youth training facilities. The purpose of this study is to provide basic data for improving service quality by analyzing the factors influencing service quality of youth training facility workers. Data were collected from 110 youth training facilities in Busan. The results showed that social support, emotional labor and self-efficacy had a static effect on the quality of service. Based on the results of this study, the following suggestions were made. First, in order to enhance social support, it is necessary to strengthen regular networking with other agency workers, interview with middle managers, and counseling. Second, to raise emotional labor, it is necessary to imprint a sense of mission as a youth leader. Psychological and emotional programs should also be developed and implemented. Third, in order to increase the self-efficacy, it is necessary to strengthen the administrative super vision and strengthen related education such as image making.

• Korean Institute of Interior Design Journal
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• v.22 no.1
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• pp.11-18
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• 2013

The Contemporary consumer society demands companies to emphasize more on the brand marketing that can deliver the brand identities distinguished from those of competing companies. In today's environment, the meaning of consumption is not only a simple purchase of a product, but also assimilation into images, experience and emotional aspects of the brand. The flagship stores of brands take the advantage of the tendency seriously and utilize the envelopes of the building as marketing catalysts to establish their brand identities. This paper aims to investigate the possibility of the architectural envelope as a marketing element to establish the brand identities, by analyzing the design techniques that enhance the visual effects utilizing innovative application of material, pattern and connection details. it is studied that the function of architectural envelope's change from past to recent date and role of architectural envelope as means of marketing for expression brand image in contemporary commerce space and elements that can be applied on architectural envelope with theoretical consideration about marketing and brand identity. Also this paper will research about experience elements because the process for consumers to recognize brand image with architecture is the process of visual experience. And through example research, this paper will study interrelationship between visual system of cognition to be expressed on architectural envelope.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.33-40
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• 2008

The application of OCR moves from traditional formatted documents to the web document and natural scene images. It is usual that the new applications use not only standard fonts of Myungjo and Godic but also various fonts. The conventional databases which have mainly been constructed with standard fonts have limitations in applying to the new applications. In this paper, we generate 243 image samples for each of 2350 Hangul character classes which differs in font size, quality, and resolution. Additionally each sample was varied according to binarization threshold and rotational transformation. Through this process 2187 samples were generated for each character class. Totally 5,139,450 samples constitutes the printed Hangul character database called the PHD08. In addition, we present the characteristics and recognition performance by an commercial OCR software.

• Archives of design research
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• v.19 no.4 s.66
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• pp.5-16
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• 2006

This research premises that design failure in the market can stem partially from the gap between designer's communication intension through design and consumer's signification for design. Therefore, it's necessary that designers should examine and understand consumer's signification process for design factors or overall design images that they consider in the design process. For this, this research suggests that understanding consumer's signification process is possible by performing value categorization, consumer segmentation, value identification of main target consumers and relationship examination between value of target consumers and design attributes based on Means-End model by reviewing various theoretical backgrounds. In addition, this research suggests contents and methods for performing each step of understanding consumer's signification process. Also, Laddering was suggested as a method for the study and a case study was performed by it. Finally this research claims that understanding consumer's signification process can be one of the methods that decrease failure possibility rather increase success possibility of design in the market.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.161-166
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• 2011

In this paper, we propose a novel background segmentation and feature point extraction method of a human motion for the augmented reality game. First, our method transforms input image from RGB color space to HSV color space, then segments a skin colored area using double threshold of H, S value. And it also segments a moving area using the time difference images and then removes the noise of the area using the Hessian affine region detector. The skin colored area with the moving area is segmented as a human motion. Next, the feature points for the human motion are extracted by calculating the center point for each block in the previously obtained image. The experiments on various input images show that our method is capable of correct background segmentation and feature points extraction 12 frames per second.