• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.43 no.2
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• pp.140-148
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• 2007

This paper describes on the real-time monitoring of dredging information for grab bucket dredger equipped with winch control sensors and differential global positioning system(DGPS) using electronic chart display and information system(ECDIS). The experiment was carried out at Gwangyang Hang and Gangwon-do Oho-ri on board M/V Kunwoong G-16. ECDIS system monitors consecutively the dredging's position, heading and shooting point of grab bucket in real-time through 3 DGPS attached to the top bridge of the dredger and crane frame. Dredging depth was measured by 2 up/down counter fitted with crane winch of the dredger. The depth and area of dredging in each shooting point of grab bucket are displayed in color band. The efficiency of its operation can be ensured by adjusting the tidal data in real-time and displaying the depth of dredging on the ECDIS monitor. The reliance for verification of dredging operation as well as supervision of dredging process was greatly enhanced by providing three-dimensional map with variation of dredging depth in real time. The results will contribute to establishing the system which can monitor and record the whole dredging operations in real-time as well as verify the result of dredging quantitatively.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.69-76
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• 2015

In current information society, there is a barrier called digital divide. Due to this barrier, the disabled have difficulties to communicate with the world. Recently, with advanced smart techniques, smart devices become necessity for the disabled. Currently improvements of smart application accessibility become a great concern for the disabled. The purpose of this paper is to present some guidelines for enhancing smart application accessibility for the disabled. The enhancement guidelines are developed based on the existing mobile accessibility guidelines and modified for better adaptability for the disabled. Our principles are as follows: minimizing blue light emission from smart devices, automatic focus on input window, action trace, font color change, emergency notification by motion, gesture recognition, control location, scrolling avoidance, auditory service for visual warning, and icon literation.

• Human Ecology Research
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• v.52 no.4
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• pp.347-354
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• 2014

'Heongbu and Nolbu 1' is a series of the on-line game 'Tales Runner.' It is based on a traditional Korean fairy tale. However, the game characters in Heongbu and Nolbu 1 wear casual clothes even though the game is set in the Joseon Dynasty. Therefore, this paper presents proposed game characters clothes based on traditional Korean costumes from the Joseon Dynasty. This work should help inspire gamers and game designers with the beauty of Korean traditional costumes and familiarize them with an aspect of Korean people's identity. A literature review of online games and game characters was carried out, and game characters' clothes were analyzed. The design motifs of historical relics of the Joseon era were evaluated. Three styles, one traditional and two "fusion" styles integrating traditional and modern elements were proposed for each of the 4 characters: Chowon, Ruff, Bada and Abell. The chulrik and jurip were used as design motifs for Chowon. A traditional chulrik, short chulriks and pants are suggested. Second, the dongari and jeonrip were used as design motifs for Ruff. A traditional dongdari, sapok pants, deck pants and a vest are suggested. Third, the jeogori and chima were used as design motifs for Bada. A traditional female hanbok, arm warmers, short-sleeved jeogori and dress are suggested. Fourth, the dang-ui and daeran-chima were used as design motifs for Abell. A traditional dang-ui and daeran-chima, blouse, skirt, jumper and tight Bermuda shorts are suggested. The length, shape and color were converted into new styles, but some traditional elements such as the git and goreum were retained.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.775-778
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• 2008

Augmented Reality is a growing area in virtual reality research, The world environment around us provides a wealth of information that is difficult to duplicate in a computer. This evidenced by the worlds used in virtual environments. An augmented reality system generates a composite view for the user. It is a combination of the real scene viewed by the user and a virtual scene generated by the computer that augments the scene with addition information. The registration method represent to the user enhances that person's performance in and perception of the world. It decide the direction and location between real world and 3D graphic objects. The registration method devide two method, Model based tracking and Move-Matching. This paper researched at to generate a commerce correlation using a tracking object method, using at a color distribution and information, in the sequence scene.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.424-429
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• 2014

In this paper, an image-based luminance measurement system(LMS) is proposed to measure the luminance of outdoor signboards. We design the LMS that can improve disadvantages of efficiency of the point-luminance meter and portability of face-luminance meter using the image of DSLR camera and print out the luminance value by using the proposed luminance analysis algorithm in real time. Outdoor signboards have various size and shape, and are also installed on the various place. Luminance of the signboard is influenced by measurement location, angle, color, etc. Therefore, we measure the change of luminance value in accordance with measurement location for accurate luminance measurement and then consider the luminance value according to the measurement distance. We obtain a numerical relation between luminance value and measurement location. The proposed LMS is verified through comparative experiment with point-luminance meter.

• Convergence Security Journal
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• v.11 no.4
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• pp.59-66
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• 2011

Recently, it is very important to establish and predict a traffic policy for expanding social infra structure like road, because the number of cars is significantly increasing. In this paper, we propose and develop an automated system technology based on vision sensor (CCTV) which can provide an efficient information for the traffic policy establishment and expanding the social infra structure. First, the CCTV image is captured as an input of the developed system. With this image, we propose a scheme for extracting vehicles on the road and classifying small-type, large-type vehicles based on color, motion, and geometric features. Also, we develop a DB (database) system for supplying a whole information of traffic for a specified period. Based on the proposed system, we verify 90.1% of recognition ratio in real-time traffic monitering environment.

• International Journal of Costume and Fashion
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• v.11 no.2
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• pp.13-24
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• 2011

This study explores the opportunities for new market of traditional Korean costumes, Hanbok, following not only the consumer's needs and wants, but marketing trends of fashion industry. This paper is the exploratory consumer research of fusion Hanbok, it aims at examining how consumers wear fusion Hanbok. Study participants were limited to mothers who wore Korean-fusion Hanbok to their baby's first birthday party once or more. A total of 221 respondents completed online questionnaires. The results of this study are as follows. First, regarding the reasons of wearing fusion Hanbok is a beautiful and traditional dress although traditional Hanbok is uncomfortable and inconvenient. Second, the most satisfactory aspect of fusion Hanbok was found to be its design. Satisfaction with the color, size and length was also high. Third, most female consumers in their 20s and 30s have stronger preferences for and intentions of purchasing fusion Hanbok. Some people criticize that as fusion Hanbok is westernized in its designs and materials, it has lost the classical beauty and impression of traditional Hanbok. However, if no one routinely wears Hanbok, Hanbok will never be popularized or globalized. This study suggest that traditional Hanbok should be improved by developing effective merchandising strategies based on consumer needs for traditional Hanbok such as various product assortment and promotion strategies using traditional Korean beauty. So, traditional Hanbok could be retained and succeeded in the future by improving consumers' dissatisfactions of traditional Hanbok and creating the new market of traditional Hanbok in which fusion Hanbok are produced focused on consumers' needs and market environments.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.697-707
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• 2019

This review paper deals with materials, classification, and a current article investigation on smart textile sensors for wearable vital signs monitoring (WVSM). Smart textile sensors can lose electrical conductivity during vital signs monitoring when applying them to clothing. Because they should have to endure severe conditions (bending, folding, and distortion) when wearing. Imparting electrical conductivity for application is a critical consideration when manufacturing smart textile sensors. Smart textile sensors fabricate by utilizing electro-conductive materials such as metals, allotrope of carbon, and intrinsically conductive polymers (ICPs). It classifies as performance level, fabric structure, intrinsic/extrinsic modification, and sensing mechanism. The classification of smart textile sensors by sensing mechanism includes pressure/force sensors, strain sensors, electrodes, optical sensors, biosensors, and temperature/humidity sensors. In the previous study, pressure/force sensors perform well despite the small capacitance changes of 1-2 pF. Strain sensors work reliably at 1 ㏀/cm or lower. Electrodes require an electrical resistance of less than 10 Ω/cm. Optical sensors using plastic optical fibers (POF) coupled with light sources need light in-coupling efficiency values that are over 40%. Biosensors can quantify by wicking rate and/or colorimetry as the reactivity between the bioreceptor and transducer. Temperature/humidity sensors require actuating triggers that show the flap opening of shape memory polymer or with a color-changing time of thermochromic pigment lower than 17 seconds.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1400-1412
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• 2006

As PB market segments into premium market, PBs were drawing attentions in terms of creating profits as well as a means to differentiate building up store identity. The purpose of this study makes a comparative study on the difference of consumer attitude formation process in discount store and home-shopping distribution channel which are recently on the upswing. This paper investigated the consumer's attitude formation on the private apparel brand. Subjects of this study were consumers in their $20s{\sim}40s$ who are main customer groups of PBs. The data were analyzed by Structural Equation Modeling and Multi-Group Analysis of Amos 5.0 to verify the difference of the path between store PB and premium PB. Following are the results of the study. Consumer attitude formation path on PB grades showed statistically noticeable difference. In discount store PB, store evaluation didn't directly influence on consumer attitude formation but showed indirect effect. On the other hand, in home shopping premium PB case, product evaluation directly influenced on consumer attitudes with store evaluation. Hedonic attitude dimension connected with behavioral attitude(purchase intention) revealed difference in path. Also consumer's evaluation on variables in model turned out to be different according to brand grade.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.366-381
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• 2020

Steganography has been successfully employed in various applications, e.g., copyright control of materials, smart identity cards, video error correction during transmission, etc. Deep learning-based steganography models can hide information adaptively through network learning, and they draw much more attention. However, the capacity, security, and robustness of the existing deep learning-based steganography models are still not fully satisfactory. In this paper, three models for different cases, i.e., a basic model, a secure model, a secure and robust model, have been proposed for different cases. In the basic model, the functions of high-capacity secret information hiding and extraction have been realized through an encoding network and a decoding network respectively. The high-capacity steganography is implemented by hiding a secret image into a carrier image having the same resolution with the help of concat operations, InceptionBlock and convolutional layers. Moreover, the secret image is hidden into the channel B of carrier image only to resolve the problem of color distortion. In the secure model, to enhance the security of the basic model, a steganalysis network has been added into the basic model to form an adversarial network. In the secure and robust model, an attack network has been inserted into the secure model to improve its robustness further. The experimental results have demonstrated that the proposed secure model and the secure and robust model have an overall better performance than some existing high-capacity deep learning-based steganography models. The secure model performs best in invisibility and security. The secure and robust model is the most robust against some attacks.