• Archives of design research
• /
• v.13 no.3
• /
• pp.39-48
• /
• 2000

Under the ambiguous situation that design aim is not defined, this study would help designers with 1. overcoming the limitation of form generation ability by establishing visual application system, 2. accepting users'opinions by generating images dynamically, analysing and giving information on the preferred ones on the web on real time, 3. identifying tendency of preference so that they can generate preferred colors and images in future by updating image combination and dropping low-preferred ones. This system would play a role as an idea or form generation application in the product design development process.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.48 no.5
• /
• pp.636-642
• /
• 1999

The synthesis of the 3D images is the most important part of the virtual reality. The ray tracing is the best method for reality in the 3D graphics. But the ray tracing requires long computation time for the synthesis of the 3D images. So, we implement the ray tracing with software and hardware. Specially we design the hit-test unit with FPGA tool for the ray tracing. Hit-test unit is a very important part of ray tracing to improve the speed. In this paper, we proposed a new hit-test algorithm and apply the parallel architecture for hit-test unit to improve the speed. We optimized the arithmetic unit because the critical path of hit-test unit is in the multiplication part. We used the booth algorithm and the baugh-wooley algorithm to reduce the partial product and adapted the CSA and CLA to improve the efficiency of the partial product addition. Our new Ray tracing processor can produce the image about 512ms/F and can be adapted to real-time application with only 10 parallel processors.

• Science of Emotion and Sensibility
• /
• v.13 no.1
• /
• pp.111-120
• /
• 2010

Initial stage of emotion has a great influence on building up product image and impression. Because of its influencing effects, measuring initial stage of emotion has potential to be a key factor for designers and marketers to achieve a distinct product concept. While many researchers have studied this topic with the emotion measurement method in product use stage, there are very few cases specialized in the initial stage of emotion. Even though present emotion measurement methods have difficulties to derive accurate user's initial stage of emotion, most case of initial emotion study applies these defective methods. The purpose of this study is to develop initial stage of emotion measurement method and apply this method to real product context. In the design of the initial stage of emotion measurement method, noticeable characteristics of initial stage of emotion were explored and initial emotion measurement framework was presented. Based on this framework, Initial Emotion Measurement System(IEMS) was suggested. This method collects user's eye movement, behavior and verbal data accurately and objectively.

• Journal of Satellite, Information and Communications
• /
• v.12 no.1
• /
• pp.54-57
• /
• 2017

In commercial facilities, it is very difficult in real to promote specific products among various products because various products are displayed and sold. Therefore, in order to promote information on most display products, there is a great tendency to rely on printed matter or salesperson. So, it is focused to display advertising or promotional video based on interactive user information by utilizing the diplay used in the store, and to implement technology considering energy saving. Also it is very utilized for a specific product sold or displayed at a commercial facility to be sent to manufacturer or advertiser who wants to promote specific products and content at customer contacts. In this study, we implemented that maximized advertisement effect through the advertisement video and combination of product using transparent display. we implemented User-oriented image display technology to provide an interactive service according to whether there is a user or not. Through this study, we proposed a new direction to maximize advertising/public relations effect in various commercial facilities.

• Journal of Advanced Marine Engineering and Technology
• /
• v.32 no.6
• /
• pp.955-963
• /
• 2008

In this paper, we propose an improved practical encryption and fault-tolerance decryption method using a non-negative value key and random function obtained with a white noise by using iterative phase wrapping method. A phase wrapping operating key, which is generated by the product of arbitrary random phase images and an original phase image. is zero-padded and Fourier transformed. Fourier operating key is then obtained by taking the real-valued data from this Fourier transformed image. Also the random phase wrapping operating key is made from these arbitrary random phase images and the same iterative phase wrapping method. We obtain a Fourier random operating key through the same method in the encryption process. For practical transmission of encryption and decryption keys via Internet, these keys should be intensity maps with non-negative values. The encryption key and the decryption key to meet this requirement are generated by the addition of the absolute of its minimum value to each of Fourier keys, respectively. The decryption based on 2-f setup with spatial filter is simply performed by the inverse Fourier transform of the multiplication between the encryption key and the decryption key and also can be used as a current spatial light modulator technology by phase encoding of the non-negative values. Computer simulations show the validity of the encryption method and the robust decryption system in the proposed technique.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2001.10a
• /
• pp.587-591
• /
• 2001

This paper deals with inspect algorithm using visual system. One of the major problems that arise during polymer production is the estimation of the noise of the color product.(bad pallets) An erroneous output can cause a lot of losses (production and financial losses). Therefore new methods for real-time inspection of the noise are demanded. For this reason, we have presented a development of vision system algorithm for the defect inspection of PE color pallets. First of all, in order to detect the edge of object, the differential filter is used. And we apply to the labelling algorithm for feature extraction. This algorithm is designed for the defect inspection of pallets. The labelling algorithm permits to separate all of the connected components appearing on the pallets. Labelling the connected regions of a image is a fundamental computation in image analysis and machine vision, with a large number of application. Also, we suggested vision processing program in window environment. Simulations and experimental results demonstrate the performance of the proposal algorithm.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.9
• /
• pp.1409-1418
• /
• 2009

This study investigates the relationship among interactivity, telepresence, flow, and future behavior intention in internet shopping. Respondents were female consumers age 20 to 30. These consumers are regarded to have experience in internet shopping. 500 samples were used in this research. For data analysis, descriptive statistics, factor analysis, ANOVA, and multiple regression analysis were used for this study. As the result, interactivity, telepresence, and flow affect future behavior intention. Flow is the most influential variable affecting the future behavior intention. It implies that hedonic shopping experience (aroused by flow) can increase the future behavior intention of consumers. Consumers can operate and change the product image with convenience by encouraging interactivity between the internet fashion shopping mall and consumers. Through the technology, the experience 'flow' of consumers can provide a sense of telepresence as if they were shopping in a real store. Consumers may feel unconscious of the passage of time and feel fun, free, and original. Therefore, the internet shopping mall should pay attention to what customers demand and reflect it through e-mail, real time chatting, and text messages. In addition, rich product information such as detailed images should be supplied to help customers visualize looks.

• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.52 no.1
• /
• pp.35-41
• /
• 2003

In this paper, a machine vision system for recognizing and classifying the patterns and marks engraved by die molding or laser marking on the glass panels of computer monitors is suggested and evaluated experimentally. The vision system is equipped with a neural network and an NGC pattern classifier including searching process based on normalized grayscale correlation and adaptive binarization. This system is found to be applicable even to the cases in which the segmentation of the pattern area from the background using ordinary blob coloring technique is quite difficult. The inspection process is accomplished by the use of the NGC hypothesis and ANN verification. The proposed pattern recognition system is composed of three parts: NGC matching process and the preprocessing unit for acquiring the best quality of binary image data, a neural network-based recognition algorithm, and the learning algorithm for the neural network. Another contribution of this paper is the method of generating the training patterns from only a few typical product samples in place of real images of all types of good products.

• Journal of Biomedical Engineering Research
• /
• v.5 no.1
• /
• pp.77-84
• /
• 1984

A prototype of a linear real-time ultrasound B-scanner has been developed which has an axial resolution of 1-2mm and lateral resolution of 2-3mm. In the actual hardware and software implementations of the B-scanner, the following features were emphasized; (1) a dynamic focusing to improve resolution; (2) signal processing to obtain low noise image; (3) various functions for the user's convenience' (4) simplification of the system by an extensive use of recently developed LSI's; (5) development of a prototype at the level of a commercial product. This paper reports the experimental results of the overall system and the design approach of the analog part. The work on the digital part of the B-scanner is reported in part (II) seperately.

• Proceedings of the IEEK Conference
• /
• 2000.07a
• /
• pp.278-281
• /
• 2000

Matching pursuit algorithm is a signal expansion technique whose efficiency for motion compensated residual image has already been demonstrated in the MPEG-4 framework. However, one of the practical concerns related to applying matching pursuit algorithm to real-time scalable video coding is its massive computation required for finding dictionary elements. In this respective, this paper proposes a fast algorithm, which is composed of three sub-methods. The first method utilizes the property of symmetry in 1-D dictionary element and the second uses mathematical elimination of inner product calculation in advance, and the last one uses frequency property of 2-D dictionary. Experimental results show that our algorithm needs about 30% computational load compared to the conventional fast algorithm using separable property of 2-D gabor dictionary with negligible quality degradation.