• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.1-10
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• 2010

This study is about what process and methodology could make UI designer be able to achieve the interface which considers user's mental model through implementing corporate line-up model, when people design an interface between product of multi-function printer and user. The most important concern of UI designers who are dealing with an interface between product and user is how they can make product system image match user's mental model so that users can utilize products without any confusion and discomfort. If concept model which designers bring up and mental model which users expect and recognize could be of one accord, then users can feel ease of use toward products. The understanding and observation for user behavior and use pattern is prerequisite to develop user-centered interface between product and user. However, UI designers do design interface from their own perspective and assumption in many business areas, and users do not react as designers assumed and intended in many cases or examples. This study is to find inappropriate system images against users' mental model on basic function of multi-function printer, and the relationship of system image and user's mental model is diagramed to build up a hypothesis. The hypothesis from this study is validated through evaluation of domestic and international users. In addition, two suggestions to improve usability problems revealed from user test are proposed. The optimal solution is designed based on the result of user evaluation and consideration of many user environments, and then it is implemented to line-up product. In conclusion, this study considers how UI designers can create system image which is close to user's mental model.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.41-49
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• 2011

This paper introduces a new search model which can retrieve information instantly and easily about a given search word on Internet and control search spaces diversely. In the existing web searches, because the user has to stop his work, run web browsers, connect to special internet sites, and type the search word by keyboard. it is a long way and not a simple way. Also the search result is too much. The user suffers difficulties of multiple searches for different categories such as dictionary, image, video clips, etc. The software implemented in this paper enables for the user to select search word simply at any documents on the screen and make search started by simply pressing CRTL key and left button of the mouse simultaneously. The software is a mash up style using the Open API which is provided by a web site and can be freely available in any other sites. By calling different Open APIs of several web sites, the mash-up software can integrate search functions of many different sites. We evaluate that the software implemented in this paper will be a good reference of mash-up as one with characteristics of easy and instant search, simple result, diversity of search category, and scalability of search functions.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.399-406
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• 2010

This paper is to analyze which factors affect preference, satisfaction, and revisiting on McDonald's brand personality and to suggest distinguished guidelines for drawing core customers. The questionary distributed 150 who is college students in dokyo, Japan, then used for data analysis 128. The results come up with; First, 4 variables which are 'up-to-date', 'spirited', 'darling', and 'young' showed up importantly in brand personality. These mean young generation would like to enjoy playing on-line game and contents with computer on the table during wait their order. Second, 3 factors (sincerity, intelligence/specialization, and wholesome) in brand personality had highly significant in preference and satisfaction. When they feel strongly specialization and trust in product, it should be showed highly with preference and satisfaction. Third, 2 factors (sincerity, and intelligence/specialization) had strongly significant in revisiting. As marketer reinforce darling and specialized image about McDonald, Therefore, they should make customer to purchase again. Finally, if customer prefered and satisfied with product in the restaurant, it could be connected rebuying.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.290-296
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• 2019

Head-up displays for vehicles play an important role in displaying various information about the safety and convenience of driving on the windshield of the vehicle. In this study, ultra-precision machining was performed and evaluated as a method for machining a large-area aspheric free-form mirror that is applicable to augmented reality technology. Precision diamond cutting is highly accurate and suitable for the production of advanced parts with excellent surface integrity, low surface roughness, and low residual stress. By using an aspheric free-form mold, it is possible to improve the optical transfer function, reduce the distortion path, and realize a special image field curvature. To make such a mold, the diamond cutting method was used, and the result was evaluated using an aspherical shape-measuring machine. As a result, it was possible to the mold with shape accuracy (PV) below $1{\mu}m$ and surface roughness (Ra) below $0.02{\mu}m$.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.4
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• pp.55-62
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• 2007

This paper proposes a defective pixel detection algorithm and its hardware structure for CCD/CMOS image sensor. In previous algorithms, the characteristics of image have not been considered. Also, some algorithms need quite a time to detect defective pixels. In order to make up for those disadvantages, the proposed defective pixel detection method detects defective pixels efficiently by considering the edges in the image and verifies them using several frames while checking scene-changes. Whenever scene-change is occurred, potentially defective pixels are checked and confirmed whether it is defective or not. Test results showed that the correct detection rate in a frame was increased 6% and the defective pixel verification time was decreased 60%. The proposed algorithm was implemented with verilog HDL. The edge indicator in color interpolation block was reused. Total logic gate count was 5.4k using 0.25um CMOS standard cell library.

• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2615-2628
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• 1997

In this paper, a new codebook design algorithm is proposed. It uses a DCT map based on two-dimensional discrete cosine of transform (2D DCT) and finite state vector quantizer (FSVQ) when the vector quantizer is designed for image transmission. We make the map by dividing input image according to edge quantity, then by the map, the significant features of training image are extracted by using the 2D DCT. A master codebook of FSVQ is generated by partitioning the training set using binary tree based on tree-structure. The state codebook is constructed from the master codebook, and then the index of input image is searched at not master codebook but state codebook. And, because the coding of index is important part for high speed digital transmission, it converts fixed length codes to variable length codes in terms of entropy coding rule. The huffman coding assigns transmission codes to codes of codebook. This paper proposes single-side growing huffman tree to speed up huffman code generation process of huffman tree. Compared with the pairwise nearest neighbor (PNN) and classified VQ (CVQ) algorithm, about Einstein and Bridge image, the new algorithm shows better picture quality with 2.04 dB and 2.48 dB differences as to PNN, 1.75 dB and 0.99 dB differences as to CVQ respectively.

• Archives of design research
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• v.11 no.3
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• pp.137-146
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• 1998

Historically, with change of life' s environment, The view to see object and person has been changed. So, as the conception that visual design is a help to produce and spread heteronomous view, this study analyse the view character of recent society as follows. A cityscape, fashion, product, prints(paper goods), advertising give a person special view and a person see the object with the view to be infected to capitalistic consumer' s custom. This origin has been started with the view that in the end of 19 c, capitalism has a visible system to build up capital and that in the make-up of modern civil society, the view was activated as the power of system maintenance and it internalized a person heteronomous view as the object of the power. The product esthetics as to make an effective demand in consumer capitalism after 70' s has shaped the way to produce the 'view desire" through the absorption. When the object is changed to 'the show" , opposite the activation of product esthetics make a person the consumer or outlooker with view of voyeurism. As to this study, the reverse ability of "product esthetics view" in the image to be produced to visual design is revealed through investigating the view as the power. So, an autonomous visual expression way and self-discipline criticism are needed.riticism are needed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.141-148
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• 2021

This paper presents a method to detect zebra-crossing using deep learning which combines SegNet and ResNet. For the blind, a safe crossing system is important to know exactly where the zebra-crossings are. Zebra-crossing detection by deep learning can be a good solution to this problem and robotic vision-based assistive technologies sprung up over the past few years, which focused on specific scene objects using monocular detectors. These traditional methods have achieved significant results with relatively long processing times, and enhanced the zebra-crossing perception to a large extent. However, running all detectors jointly incurs a long latency and becomes computationally prohibitive on wearable embedded systems. In this paper, we propose a model for fast and stable segmentation of zebra-crossing from captured images. The model is improved based on a combination of SegNet and ResNet and consists of three steps. First, the input image is subsampled to extract image features and the convolutional neural network of ResNet is modified to make it the new encoder. Second, through the SegNet original up-sampling network, the abstract features are restored to the original image size. Finally, the method classifies all pixels and calculates the accuracy of each pixel. The experimental results prove the efficiency of the modified semantic segmentation algorithm with a relatively high computing speed.

• Archives of design research
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• v.18 no.2 s.60
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• pp.111-122
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• 2005

Public Service Advertising(PSA) is the integrated marketing concept including strategy and technology in all its aspects that pursue the changes of community to seek an agreement of its members by the intentional and the target oriented way. PSA to the exclusion of commercial intention reflects the current social flow and subject since it is focused to the social issue. PSA plays an important role in creating the further cultural value, and also affects present cultural value to advertising message. In this aspect, this study is very valuable to design the plan for further effective management of advertisement and to analyze communication strategy of PSA. This study is to make dear the nature of PSA by the analysis of contents of visual image and linguistics' factors in actual produced and broadcasted TV advertising, called 'Protection of environment' In the results, PSA related the environment is working to linguistic-centered persuading message corresponding to visual factor, this intends to educate and instruct the consumers in 1980's. PSA, therefore, shows a non-description nature without story line and a hero(heroin) on it. In contrast, after 1990's, PSA was made up image-centered and maximized the effectiveness public campaign through the activating consumer's judgement and intervention. We are able to know that it contributes to considering and persuading the consumer to suggest the story format through the visual way to deliver the message. This study of relationship between visual image and linguistics is a common trend appeared in all media including today's advertising, and may be a remarkable result to present proper direction of PSA campaign.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.2
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• pp.1-10
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• 2010

There have been studied with activity about color standard due to extention of digital contents' application area. Therefore the studies in relation to the standard are needed to represent image's feature as color. Also the methods to extract color's feature to be apt to various application are needed. In this paper, we set the base color as 50 colors from Munsell color system, get the color histogram to show the characteristics of colors's distribution of a image, and propose the method to extract representative colors from the histogram. Firstly, we convert a input image of RGB color space to a image of HSI color space and split the image into hue area and non-hue area. To split hue area and non-hue area, we use a fixed threshold and a perception-function of color area function to reflect the subjective vision of human-being. We compute histograms from each area and then make a total histogram from the histogram of hue area and the histogram of hue area, and extract the representative colors from the histogram. To evaluate the proposed method, we made 18 test images, applied conventional methods and proposed method to them Also the methods are applied to public images and the results are analyzed. The proposed method represents well the characteristics of the colors' distribution of images and piles up colors' frequency to representative colors. Therefore the representative colors can be applied to various applications