• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.789-809
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• 2020

Growth in online channels has created fierce competition; consequently, retailers have to invest an increasing amount of effort into attracting consumers. In this study, eye-tracking technology examined consumers' visual behavior to gain an understanding of information searching behavior in exploring product information for fashion products. Product attribute information was classified into two image-based elements (model image information and detail image information) and two text-based elements (basic text information, detail text information), after which consumers' visual behavior for each information element was analyzed. Furthermore, whether involvement affects consumers' information search behavior was investigated. The results demonstrated that model image information attracted visual attention the quickest, while detail text information and model image information received the most visual attention. Additionally, high-involvement consumers tended to pay more attention to detailed information while low-involvement consumers tended to pay more attention to image-based and basic information. This study is expected to help broaden the understanding of consumer behavior and provide implications for establishing strategies on how to efficiently organize product information for online fashion stores.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.585-593
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• 2021

The service industry has become the driving force of economic development in recent years. With the current fierce competitive situation, competing businesses have continually provided a superior quality of service, and an excellent perceived brand image to gain customer satisfaction and customer loyalty. This study's current purpose is to empirical research the linking between service quality, brand image, customer satisfaction, and customer loyalty. We collect research data from 299 consumers who bought goods at supermarkets in Ho Chi Minh City, Vietnam, using a convenient sampling technique. We proposed the conceptual model from prior studies and considered it in Vietnam's context. PLS-SEM was conducted to test the relationships in the conceptual model. We have estimated the scale's reliability by Cronbach's alpha values and composite reliability values. Moreover, we have evaluated discriminant validity by the Fornell-Larcker standard. The findings showed that service quality positively affects the brand image, customer satisfaction, and customer loyalty. Likewise, the results also confirmed brand image had a positive impact on customer satisfaction and customer loyalty. Moreover, the outcomes also disclosed that customer satisfaction had a positive relationship with customer loyalty. The research suggested implications for managers, limitations, and directions for future research from the above findings.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.40 no.3
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• pp.19-32
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• 2003

In the conventional photorefractive joint transform correlator(PRJTC), the intensity ration of input signal-to-pump beam should be large enough to saturate two-beam coupling transfer function to obtain a desired correlation result. As a result, the signal-to-noise ratio(SNR) of correlation result is decreased in a noisy input image. In this paper, we propose the improved method for increasing the SNR of the PRJTC by using the characteristics of BaTiO$_3$. We stop the energy transfer saturating by low intensity ratio of input beam and realize a short length of effective interaction in BaTiO$_3$ by making large incident angle of the signal beam. So the gain in high frequency area is decreased and the gain in low frequency area comes up to the saturation gain of the beam coupling transfer function. Therefore the SNR is improved in noisy input image and the PRJTC can be easily realized by low intensity ratio of input beam.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.812-817
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• 2006

This paper presents an image-space algorithm to real-time collision detection, which is run completely by GPU. For a single object or for multiple objects with no collision, the front and back faces appear alternately along the view direction. However, such alternation is violated when objects collide. Based on these observations, the algorithm has been devised, and the implementation utilizes the state-of-the-art functionalities of GPU such as framebuffer objects(FBO), vertex buffer object(VBO) and occlusion query. The experimental results show the feasibility of GPU-intensive collision detection and its performance gain in real-time applications such as 3D games.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1337-1339
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• 2003

In this article, a new remote sensing image fusion model based on modified Kohonen networks is given. And a new fusion rule based on modified voting rule was established. Select Shaoxing City as the study site, located at Zhejiang Province, P.R.China. The fusion experiment between Landsat TM data (30m) and IRS-C Pan data (5.8m) was performed using the given fusion method. The fusion results show that the new method can gain better result in apply ing to the lower hill area, and the whole classification accuracy was 10% higher than the basic Kohonen method. The confusion between the woodlands and the waterbodies was also diminished.

• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.233-235
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• 2005

As a class of block codes, LDPC code with any desired code rate and code length is easily constructed. In OFDM system high data transmission is possible, In this paper, we examined the performance of four high-rate(0.75, 0.8, 0.889, 09412) LDPC coded OFDM in image transmission over Rayleigh fading channel. The high-rate of 0.9412 LDPC coded OFDM system obtained about 12dB gain over the OFDM at BER of $10^{-3}$ over Rayleigh fading channel. Also, the PSNR of code rate 0.9412 LDPC coded OFDM system at SNR=10dB is given by 18.8047dB where uncoded OFDM system gives 9.7303 dB.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.7
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• pp.819-825
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• 1988

An 1-bit DPCM image coding method is presented. Our method is specially designed to reduce the slope overload which seems to be the major performance degradation factor in 1-bit DPCM. In the present algorithm, based on the classification of neighborhoods by its flatness, slope strength and direction, predictor and quantizer operate adaptively through switching action. Compared with some other methods by computer simulation, proposed method shows improved performance in image quality as well as in signal to noise ratio. This gain mainly comes from the reduced slope overload and seems large to compensate the increased complexity in prediction. As a post processing, Lee filter is used to reduce the granular noise subjectively annoying in flat region.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.3
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• pp.322-326
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• 1988

The sigma filter is a nonlinear filter of modifying average filter to develop edge-preserving characteristics. However, this filter is yet weak to the impulsive noise such as BSC noise. Therefore it has not been used so highly in the image restoration area. In this paper, We propose an adaptive image restoration algorithm using the local statistic and the characteristic of human eyes in order to compensate its drawback and to improve its performance. The performance of the proposed algorithm and the vonventional ones are compared for images degraded by BSC noise. The proposed algorithm shows better performance than the median filter and yields 5 dB performance improvement over the convertional K-sigma filter on SNR gain.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2154-2168
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• 2022

Our work addresses the issues associated with usage of the semantic features by Bag of Words model, which requires construction of the dictionary. Extracting the relevant features and clustering them into code book or dictionary is computationally intensive and requires large storage area. Hence we propose to use a simple distribution of multiple shape based features, which is a mixture of gradients, radius and slope angles requiring very less computational cost and storage requirements but can serve as an equivalent image representative. The experimental work conducted on PASCAL VOC 2007 dataset exhibits marginally closer performance in terms of accuracy with the Bag of Word model using Self Organizing Map for clustering and very significant computational gain.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.1-15
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• 2022

Image has more power in the 21st century than ever before. With the advance in technology and media, image is either made or received more easily and promptly using digital technology. Because of that, it has been hard for digital images to gain value as a work of art. But after NFT technology was developed and then applied to digital images, we have come to distinguish the original from the copy of it. People are trying various ways to allow digital images to be acknowledged as art, and changing the nature of digital images that makes new paradigms in the history of art. Through NFT artworks rising as a new style, this paper analyzed and investigated the new properties and changing characteristics of digital images in order to anticipate the characteristics of artworks that the public produces, enjoys, and consumes. This study is grounded on experimental analysis methods, and this author expects that it can contribute to figuring out which kinds of visual culture and artworks digital image is influencing currently from various perspectives.