• Journal of Distribution Science
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• v.14 no.12
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• pp.119-127
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• 2016

Purpose - This study has been conducted based on the assumption that technology acceptance for the traditional markets introduce Augmented Reality Technology system into traditional markets in order to increase the influence on consumer purchasing intention. The Augmented Reality Technology system on this study has been carried out by a modeling study based on Davis(1989)'s Technology Acceptance Model (TAM). Research design, data, and methodology - Before starting the research, we inquired previous researches and defined the basic concept for each research with applying some parts of them. By doing this, we were able to find out if the users had perceived ease of use and the feeling of usefulness for the technology acceptance in using traditional markets. As a result, we measured how efficiently those factors could have an influence on traditional market visit. Moreover, we analyzed the result with actual proofs, assuming that such a visiting intention would affect consumers purchasing intention Results - To summarize the results, first, we have found that the necessity for augmented reality technology for traditional markets and its convenience in use can have a positive effect on visiting traditional markets. Second, we have discovered that the feeling of easiness in use, technological usefulness, and its visiting intention for Augmented Reality Technology can positively influence on the users' purchasing intention. Conclusions - By taking advantage of the research results from this study, the technological acceptance for the traditional markets suggests not only a positive impact on the users' visiting traditional markets but also an influence on the users' purchasing intention for the goods that are sold in the traditional markets. The weak point of this study is that it did not have sufficient theoretical explanation for technological acceptance in traditional markets, and it also lacked theoretical research to apply Augmented Reality Technology to the distribution industry. In order to overcome these drawbacks, we have to conduct thoughtful empirical analysis and research. Lastly, we insist that we will have to carefully verify reliability for the questionnaire data collected by the Internet survey panels in the future.

• Journal of Distribution Research
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• v.16 no.5
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• pp.85-101
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• 2011

Just as traditional markets nationwide, traditional markets in Jeju area also face a crisis due to expansion of new distribution channel and price competitiveness of large distribution companies. There are various support programs currently being carried out to prevent all risk factors of the traditional markets as government policies. But, these programs have failed to bring a positive change due to lack of specialized products of the traditional market, lack of systematic marketing and customer management, lack of market vendors' consciousness reformation. The purpose of this study is to prepare political measures to promote the revitalization of traditional markets in Jeju area and overcome these limits. To achieve this, this study analyzed the conditions of traditional markets in Jeju area and presented the specialization of items and service for each traditional market, establishment of growth strategies in connection with tourist industry and reinforcement of marketing competitiveness as measures to create a synergy effect.

• Korean Journal of Cognitive Science
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• v.7 no.1
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• pp.37-56
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• 1996

In this paper,we design a verifier for unconstrained handwritten numerals using structural feature analysis,and use it as a comnination algorithm for multiple recognizers.The existing combination algorithms mainly use learnings,statistical methods,or probabilistic methods without considering structural features of numerals.That is why they cannot recognize some numerals which human can identify clearly.To overcome the shortcomings,we design one-to-one verifiers which compare and analyze the relative structural features between frequently confused numeral pairs,and apply them to combine multiple recongnizers.Structural features for verification consist of contour,direction al chain code,polygonal approximation,and zero crossing number of horizontal/vertical projections. We gained a 97.95% reliability with CENPARMI numeral data,and showed that some misconceived factors generated from typical combination algorithms can be removed.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.135-154
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• 2002

As the use of Information Technology is increasing, various kinds of IT service vendor proliferate. And most executives are trying to expand their field to online world. As the emphasis on Information Technology is inevitable, executives want to evaluate the service level they receive from IT service vendor. But. there's not yet the proper evaluation system for IT service. The evaluation systems like CMM, SPICE are process-focused. They don't give a look on the final product delivered to customer. On the other hand, the one that evaluate the customer satisfaction like ACSI, NCSI are too over-focused that they can't express the specific characteristics on the subjects that are deemed to evaluate. The focus is blurred. To overcome these limitations of existing framework, and to increase the value of evaluation, this study presents the evaluation system of IT service (afterwards, named as 'The new evaluation system') that derives process factors from IT service CMM, and evaluate customer satisfaction of IT service. Finally, the model was applied to the actual case to examine the practicality of the framework.

• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.111-134
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• 2005

Knowledge management is a core factor to achieve competitive advantage and improve the business performance. New information technology is also a core factor enabling the innovation of knowledge management. Semantic Web of which the goal is to realize machine-processable Web can't help affecting the knowledge management. Therefore, we empirically analyze the relationship between user's dissatisfaction and barriers or limitations of knowledge management and present methods allowing Semantic Web to overcome the limitations and to support knowledge management processes. Based on a questionnaire survey of 222 respondents, we found that the limitations of system qualities such as user inconvenience of knowledge management systems, search and integration limitations, and the limitations of knowledge qualities such as inappropriateness and untrust significantly affected the user dissatisfaction of knowledge management systems. Finally, we suggest a conceptual model of knowledge management systems of which components are resources, metadata, ontologies, and user & query layers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.517-525
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• 2006

In this paper, the algorithm which improve the efficiency of surveillance in spite of the change of light is proposed and confirmed by virtue of the experiments. One of the problems for the implementation of visual surveillance system is the image processing technique to overcome with the variations of illumination lights. Some conventional systems are generally not considered the error due to the change of lights because the system use at indoor. In practical, the factors of bad image can be classified to the ghosts due to the reflection of lights and shadows in a scene. Especially weak images and noises at night are decreased the performance of visual surveillance system. In the paper, the filter which improve the images with some change of illumination lights is designed and the gabor filter is used for recognition and tracking of the moving objects. In the results, the system showed that the recognition and tracking were obtained $92\sim100%$ of recognition rate at daytime, but $80\sim90%$ of nighttime.

• The KIPS Transactions:PartC
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• v.11C no.7 s.96
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• pp.1009-1022
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• 2004

Smoothing is a transmission plan where variable rate video data is converted to a constant bit rate stream. Among them are CHA, MCBA. MVBA, e-PCRTT and others. E-PCRTT algorithm, which was improved from PCRTT, restricts the number of rate changes with fixed-size run. This causes unnecessary rate changes and may not guarantee QoS when buffer size is small. In this paper. a smoothing algorithm is pro-posed, where the number of rate changes are not limited and the size of run can be flexible, in order to overcome the shortcomings of e-PCRTT. Experiments demonstrated that the proposed algorithm such as e-PCRTT. In order to show the performance, var-ious evaluation factors were used such as the nember of rate changes, buffer size to maintain QoS, and so on.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2001.11b
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• pp.185-188
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• 2001

Chemical mechanical polishing(CMP) process is widely used for global planarization of inter-metal dielectric (IMD) layer and inter-layer dielectric (ILD) for deep sub-micron technology. However, as the IMD and ILD layer gets thinner, defects such as micro-scratch lead to severe circuit failure, which affect yield. In this paper, for the improvement of CMP process, deionized water (DIW) pressure, purified $N_2 \; (PN_2)$ gas, slurry filter and high spray bar were installed. Our experimental results show that DIW pressure and $PN_2$ gas factors were not related with removal rate, but edge hot-spot of patterned wafer had a serious relation. Also, the filter installation in CMP polisher could reduce defects after CMP process, it is shown that slurry filter plays an important role in determining consumable pad lifetime. The filter lifetime is dominated by the defects. However, the slurry filter is impossible to prevent defect-causing particles perfectly. Thus, we suggest that it is necessary to install the high spray bar of de-ionized water (DIW) with high pressure, to overcome the weak-point of slurry filter. Finally, we could expect the improvements of throughput, yield and stability in the ULSI fabrication process.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.6
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• pp.231-236
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• 2014

The transit time of contrast agents and the parameters of time-intensity curves in ultrasonography are important factors to diagnose various diseases of a digestive organ. We have implemented an automatic parametric imaging method to overcome the difficulty of the diagnosis by naked eyes. However, the micro-bubble noise and the respiratory motions may degrade the reliability of the parameter images. In this paper, we introduce an optimization technique based on MRF(Markov Random Field) model to enhance the quality of the parameter images, and present an image tracking algorithm to compensate the image distortion by respiratory motions. A method to extract the respiration periods from the ultrasound image sequence has been developed. We have implemented the ROI(Region of Interest) tracking algorithm using the dynamic weights and a momentum factor based on these periods. An energy function is defined for the Gibbs sampler of the image enhancement method. Through the experiments using the data to diagnose liver lesions, we have shown that the proposed method improves the quality of the parametric images.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.1
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• pp.9-16
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• 2020

The k-anonymity scheme has been widely used to protect private information when Big Data are distributed to a third party for research purposes. When the scheme is applied, an optimal k value determination is one of difficult problems to be resolved because many factors should be considered. Currently, the determination has been done almost manually by human experts with their intuition. This leads to degrade performance of the anonymization, and it takes much time and cost for them to do a task. To overcome this problem, a simple idea has been proposed that is based on machine learning. This paper describes implementations and experiments to realize the proposed idea. In thi work, a deep neural network (DNN) is implemented using tensorflow libraries, and it is trained and tested using input dataset. The experiment results show that a trend of training errors follows a typical pattern in DNN, but for validation errors, our model represents a different pattern from one shown in typical training process. The advantage of the proposed approach is that it can reduce time and cost for experts to determine k value because it can be done semi-automatically.