• Journal of Digital Convergence
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• v.15 no.7
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• pp.213-222
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• 2017

This paper proposes a new service design which is deep learning-based image retrieval system for product search on O2O shopping mall platform. We have implemented deep learning technology that provides more convenient retrieval service for diverse images of many products that are sold in the internet shopping malls. In order to implement this retrieval system, real data used by shopping mall companies were used as experimental data. However, result from several experiments have confirmed deterioration of retrieval performance due to data components. In order to improve the performance, the learning data that interferes with the retrieval is revised several times, and then the values of experimental result are quantified with the verification data. Using the numerical values of these experiments, we have applied them to the new service design in this system.

• Bulletin of the Korean Chemical Society
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• v.28 no.6
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• pp.999-1004
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• 2007

Spherical porous silica supports modified with titanium or zirconium alkoxides were prepared, and allyl groups were chemically attached to the titanized or zirconized silica supports, and the product was cross-polymerized with a double bond containing cellulose derivative to yield new CSPs (chiral stationary phases). Magic angle spinning 13C solid state NMR and elemental analysis were used to characterize the CSPs. The performances of the chiral stationary phases were examined in comparison with a conventional chiral stationary phase. Spherical porous silica particles modified with 3,5-dimethylphenylcarbamate of cellulose were prepared and used as the conventional chiral stationary phase. Chromatographic data were collected for a few pairs of enantionmers in heptane/2-propanol mixed solvents of various compositions with the three chiral columns and the results were comparatively studied. The separation performance of the chrial phase made of the titanized silica was better than the others, and the separation performance of the chiral phase of the zirconized silica was comparable to that of the conventional chiral phase. The superiority of titanized silica over bare or zirconized silica in chiral separation seemed to be owing to the better yield of crosslinking (monitored by increase of carbon load) for titanized silica than for the others.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.867-871
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• 2022

Amid the recent rapid trend change, the change in design has a great impact on the sales of fashion companies, so it is inevitable to be careful in choosing new designs. With the recent development of the artificial intelligence field, various machine learning is being used a lot in the fashion market to increase consumers' preferences. To contribute to increasing reliability in the development of new products by quantifying abstract concepts such as preferences, we generate new images that do not exist through three adversarial generative neural networks (GANs) and numerically compare abstract concepts of preferences using pre-trained convolution neural networks (CNNs). Deep convolutional generative adversarial networks (DCGAN), Progressive growing adversarial networks (PGGAN), and Dual Discriminator generative adversarial networks (DANs), which were trained to produce comparative, high-level, and high-level images. The degree of similarity measured was considered as a preference, and the experimental results showed that D2GAN showed a relatively high similarity compared to DCGAN and PGGAN.

• Journal of Technology Innovation
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• v.27 no.1
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• pp.45-77
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• 2019

The balance between exploration for new possibility and exploitation for existing certainty is an important issue in strategy, innovation, R&D as well as organization learning. Among the convergence trends of technologies, many firms seek to have the wider technological knowledge assets and the deeper technology capabilities for the sustainable competitive advantage at the same time. While firms plan technology portfolio strategies, they should consider the attribute of the technology. Nanotechnology, a cutting-edge technology, is a general purpose technology, unlike conventional product-oriented technologies. This empirical study was focused on how multi-national firms' exploration and exploitation strategies for nanotechnology affect their innovative and financial performance. It uses multiple regression analysis on panel data. This result shows that the more diversified and specialized nanotechnology as platform technology is positively related to their innovative and financial performance, unlike the research results for product-oriented technologies. In addition, exploratory innovation is more effective to firm performance than exploitation. This implies how global firms can manage effectively platform technology strategies under the constraints of resources.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.42 no.8 s.338
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• pp.43-52
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• 2005

An prescaler which uses PLL(Phase Locked Loop) must satisfy high speed operation and low power consumption. Thus the performance or TSPC(True Single Phase Clocked) D-flip flops which is applied at Prescaler is very important. Power consumption of conventional TSPC D-flip flops was increased with glitches from output and unnecessary discharge at internal node in precharge phase. We proposed a new D-flip flop which reduced two clock transistors for precharge and discharge Phase. With inserting a new PMOS transistor to the input stage, we could prevent from unnecessary discharge in precharge phase. Moreover, to remove the glitch problems at output, we inserted an PMOS transistor in output stage. The proposed flip flop showed stable operations as well as low power consumption. The maximum frequency of prescaler by applying the proposed D-flip flop was 2.92GHz and achieved power consumption of 10.61mw at 3.3V. In comparison with prescaler applying the conventional TSPC D-flip $flop^[6]$, we obtained the performance improvement of $45.4\%$ in the view of PDP(Power-Belay-Product).

• Korean Business Review
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• v.11
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• pp.83-100
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• 1998

The objective of our study is to build a theoretical framework for the examination of impacts of cross-functional integration upon new product development performance(NPDP). For this purpose, we have concentrated our efforts on systematically delving into how cross-functional integration factors affect upon the interdepartmental cooperation and upon the NPDP while dividing those critical integration factors into the structural and the infra-structural ones. We have selected interdepartmental job-rotation, consigning of papers, and cross-functional teem meeting as structural cross-functional integration factors. On the other hand, we have chosen Quality Functional Deployment(QFD), Concurrent Engineering(CE), and Evaluation and Reward Systems as those infra-structural cross-functional integration factors. After identifying those integration factors, we have carefully searched the relationship between those integration factors and those cooperation variables (interdepartmental common goal, interdepartmental interactions, and common sharing of ideas and informations) to look into how they affect upon the NPDP. Among cross-functional integration and NPDP related studies, our study is the first to show systematically how strongly infra-structural integration factors affect upon the achievement of interdepartmental cooperation and the improvement of NPDP. Considering the limitation of our resources and time available for this research, we have limited our study to building only a theoretical framework for future empirical studies to look into how cross-functional integration variables are related with NPDP.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.39 no.2
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• pp.72-81
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• 2002

A new high-performance DSP architecture is proposed, which behaves as a coprocessor of a 32bit microcontroller. Because the proposed DSP architecture is a dual MAC(Multiply and Accumulate) DSP architecture, it can process efficiently a number of SOP(sum of product) operations used in many DSP applications. In order to efficiently perform other operations such as pure additions without any restriction, a MAC is composed of a multiplier and a ALU placed in parallel. In addition, it is a 3-way superscalar architecture, which can issue 3 instructions at a time. The benchmark results with 3 thor dual MAC DSPs show that the proposed DSP has the best performance. Futhermore, it is proven that the proposed DSP is more efficient in memory usage, although the performance is comparable in some algorithms such as Viterbi decoding and FFT butterfly.

• Journal of Biomedical Engineering Research
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• v.31 no.2
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• pp.123-128
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• 2010

The thermometers is widely used in diagnostic medical devices, and the safety and accurate performance of these devices are important in the diagnosis and monitoring of personal health. Especially, the accuracy of infra-red thermometer is highly emphasized. Here two typical thermometers are utilized for this purpose: the electronic thermometers measure body temperature by contacting to subject while infra-red thermometers measure by no contacting to subject. Therefore, the evaluating items of each thermometer are different, and the standard for each temperature is highly needed. But, there have been no international standards of each thermometer such as IEC. In this paper, we developed the standards of electronic and infra-red thermometer based on national standards such as KS, ASTM, EN, JIS and FDA guidance. The new standards focused on the safety and suitable performance for health care. This standards were applied to enact and revise the electronic medical device standards. So it can be applied to evaluate the safety and performance on technical file review. We predict that this standard will improve the quality of diagnostic medical devices (thermometers) and increase the international competitive power of domestic product.

• The Journal of the Acoustical Society of Korea
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• v.22 no.2
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• pp.145-152
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• 2003

In this paper, assuming that the score of speech utterance is the product of HMM log likelihood and HMM weight, we propose a new method that HMM weights are adapted iteratively like the general MCE training. The proposed method adjusts HMM weights for better performance using delta coefficient defined in terms of misclassification measure. Therefore, the parameter estimation and the Viterbi algorithms of conventional 1:.um can be easily applied to the proposed model by constraining the sum of HMM weights to the number of HMMs in an HMM set. Comparing with the general segmental MCE training approach, computing time decreases by reducing the number of parameters to estimate and avoiding gradient calculation through the optimal state sequence. To evaluate the performance of HMM-based speech recognizer by weighting HMM likelihood, we perform Korean isolated digit recognition experiments. The experimental results show better performance than the MCE algorithm with state weighting.

• Asia Marketing Journal
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• v.14 no.4
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• pp.35-56
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• 2013

The era of globalization provides us with both opportunities and threats. The success of a multinational corporation depends largely on its ability to adapt itself to new market environment. We believe that understanding and implementing multicultural PR strategy can be a key to the multinational corporations' success in foreign markets. We argue in this paper that even a global iconic company such as Google needs to focus on how to understand local consumers' needs and preferences before formulating and implementing PR strategy. Having a global hit product or service is not sufficient enough to be successful in some foreign markets. It is especially more evident in the industries where companies deal with individual consumers, and perceptions and sentiments play a large role in their purchase decisions. The objective of this research is to find out the relationship between multicultural PR strategy and business performance. Therefore, our main hypothesis is; better implementation of multicultural PR strategy by a multinational corporation will result in higher performance in the foreign markets. To prove the relationship between multicultural PR strategy and performance, we designed a framework that uses Rudan's (2004) five rules for multicultural PR strategy. It is a contribution to the business academics as there are very few studies that directly focus on and analyze the multicultural aspects of a multinational company's PR strategy. Through our research, we found strong evidence that there is a positive relationship between the level and effectiveness of a company's multicultural PR strategy and its performance in the foreign markets. This offers some meaningful implications to the managers of the multinational corporations and those who are considering going into a foreign market for the first time. We also suggested a way of measuring the implementation of multicultural PR strategy. By applying five rules for multicultural PR strategy to Google's PR activities, it allowed us to convert qualitative information into quantitative data. This kind of tool can be helpful for multinational corporations that want to evaluate their own PR activities.