• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.351-357
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• 2021

At the time when interest in the use of big data is rising in the face of the technological paradigm shift of the 4th industrial revolution, interest in the use of patented big data is increasing, especially as the proportion of intangible assets of companies increases. In addition to quantitative information, patent data contains various information such as unstructured text such as title, abstract, claim, citation and citation relations, drawings, and technology classification. It is judged that the use of treatment is important. Therefore, in this study, in order to systematically operate the innovative patent strategy framework and to secure a competitive advantage by strengthening the fundamental technological competitiveness of the company, we propose a method of using patent big data centering on the case of Company A, and verify its validity. I would like to suggest some implications. Through this, it is intended to raise awareness of the use of patent big data, and to suggest ways to use patent big data in connection with the company's company-wide strategy, business strategy, and functional strategy.

• IE interfaces
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• v.20 no.3
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• pp.315-326
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• 2007

The service industry is becoming greater importance in the current economy. The service quality has become an important competitive factor in service industry. Until now, 6 sigma method has well accomplished in manufacturing industry. 6 sigma method has been applied to the service industry to improve service quality, but it has not been reported that 6 sigma method is a successful method for service industry to improve service quality. In this paper, we suggest a MAVIC model to improve service quality. It is a model which is combined with advantages of a SERVQUAL model and 6 sigma method. We has proved its effect with applying a MAVIC model to real service techniques.

• Proceedings of the Technology Innovation Conference
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• 1997.07a
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• pp.175-194
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• 1997

The competitive power of technologies is required for survival of enterprises in the social environments that change rapidly. So the strategy of technology development becomes more and more important. For the establishment of strategy, the situational analysis and the forecasting analysis are executed and they include the technology assessment and the technological forecasting. The technology assessment is systematical examination and analysis of the present status of technology. Among the various methods of technology assessment, Matrix Method is one of the usual methods. This research is intended to find out the problems and the difficulties in the current Matrix Method, and to improve the method, finally to help the R&D departments of enterprises applying the method. This suggested matrix(TSM Technology Shift Matrix) method is designed so that one can judge the current situation of technology and future expectation, by moving the matrix which is placed to the upside of the basic matrix.

• Journal of Microbiology and Biotechnology
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• v.17 no.4
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• pp.681-684
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• 2007

An immunoassay method was developed to quantitatively detect phosphinothricin-N-acetyltransferase (PAT) encoded by the Bialaphos resistance (bar) gene in genetically modified (GM) pepper. The histidine-tagged PAT was overexpressed in Escherichia coli M15 (pQE3l-bar) and efficiently purified by $Ni^{2+}$ affinity chromatography. A developed sandwich enzyme-linked immunosorbent assay (S-ELISA) method (detection limit: $0.01{\mu}g/ml$) was 100-fold more sensitive than a competitive indirect ELISA (CI-ELISA) method or Western blot analysis in detecting the recombinant PAT. In real sample tests, PAT in genetically modified herbicide-tolerant (GMHT) peppers was successfully quantified [$4.9{\pm}0.4{\mu}g/g$ of sample (n=6)] by the S-ELISA method. The S-ELISA method developed here could be applied to other GMHT crops and vegetables producing PAT.

• International Commerce and Information Review
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• v.1 no.2
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• pp.1-24
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• 1999

In this study, I have suggested a basic theories in introducing and applying EC indispensible for a positive development of international logistics' competitiveness by the Chonbuk firms, and I assure that the Chonbuk firms can get a full effect in strengthening international competitiveness in worldwide trade war by effectively utilizing the application method suggested in this study as well as by erecting its basic direction. Our market faced an accelerating pressure against a full-scale market opening with the WTO system, and our Chonbuk firms will face a danger that all the markets, domestic and international will be occupied by the foreign enterprises, for we can not win the competition with the foreign enterprises, provided that we do not prepare for the rationalization and effectiveness of management. It will be very significant for our Chonbuk firms to introduce and utilize EC as a method for innovation and rationalization of management as well as a method for strengthening international competitiveness. This study will serve the study of this field, for the purpose of this study is on analyzing its propriety in introducing and utilizing EC. It will guarantee the importance that this study helps the Chonbuk firms to upgrade understanding on introduction and utilization of EC for strengthening their logistics competitiveness, and this study serves to improve international competitiveness in an era of information and globalization.

• Journal of KIISE:Software and Applications
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• v.34 no.12
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• pp.1056-1064
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• 2007

Biomolecular computing is a new computing paradigm that uses biomolecules such as DNA for information representation and processing. The huge number of molecules in a small volume and the innate massive parallelism inspired a novel computation method, and various computation models and molecular algorithms were developed for problem solving. In the meantime, the use of biomolecules for information processing supports the possibility of DNA computing as an application for biological problems. It has the potential as an analysis tool for biochemical information such as gene expression patterns. In this context, a DNA computing-based model of a biomolecular perceptron has been proposed and the result of its experimental implementation was presented previously. The weight encoding and weighted sum operation, which are the main components of a biomolecular perceptron, are based on the competitive hybridization reactions between the input molecules and weight-encoding probe molecules. However, thermodynamic symmetry in the competitive hybridizations is assumed, so there can be some error in the weight representation depending on the probe species in use. Here we suggest a generalized model of hybridization reactions considering the asymmetric thermodynamics in competitive hybridizations and present a weight encoding method for the reliable implementation of a biomolecular perceptron based on this model. We compare the accuracy of our weight encoding method with that of the previous one via computer simulations and present the condition of probe composition to satisfy the error limit.

• IE interfaces
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• v.22 no.1
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• pp.1-9
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• 2009

As the LCD fabrication factories (Fab) are highly capital-intensive and the markets are very competitive, it is an essential requirement of operational management to achieve full-capacity production while meeting customer demands on time. In a typical LCD Fab, medium-term schedules such as release plans and production plans are critical to achieve the goal of full-capacity production and on-time delivery. Presented in this paper is a framework for weekly planning system generating medium-term schedules using a finite-capacity planning method. Also this paper presents a release planning method applying capacityfiltering algorithm, especially backward capacity-filtering procedure, which is one of the finite-capacity planning methods. In addition, performance analyses using actual data of a TFT-LCD Fab show that the proposed method is superior to existing methods or commercial S/W products generating release plans.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.262-268
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• 2008

Recently, as the demand for multimedia services based on the wireless technologies and mobile devices increases, Full-touch screen mobile devices adopting touch screen keyboards are emerging to cope with the limited display size and take advantage of the flexibility in the design of user interfaces. However, the text entry task, which is one of the main features of the mobile devices, decreases the competitive advantages of the touch screen keyboards over the physical keyboards or keypads due to the lack of physical feedbacks and the frequent occurrence of mistyping. This study aims to introduce a novel text entry method named Fuzzy Touch and compare this method with the conventional text entry method on a touch screen keyboard in terms of the performance (time, number of touch) and the subjective ratings (ease of use, overall preference).

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.418-419
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• 2006

After electricity power industry restructuring, "Long term power development plan", setting up by government, is replaced by "Basic plan of electricity supply and demand". In this basic plan, one of the most important factors is assessment of appropriate capacity margin. The benefit of GENCO is decided by the market price, and the price is largely affected by the level of reserve margin. As a consequence, appropriate reserve margin is determined by market power. However, Cost Based Pool(CBP) is a limited competitive market, and government policy for supply and demand is very important factor or reserve margin determination. This paper points out issues about existing reserve margin assessment method which is used in basic plan and suggests improved assessment method. In the case study, capacity margin is calculated by proposed assessment method and result shows the advantages of suggested method.

• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.377-379
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• 2002

This paper provides a new approach for the load-focused transmission marginal loss factors(MLF). It can be widely applied to power system operations and pricing mechanism in a competitive electricity market. The load-focused MLF is the ratio of required additional generation at a reference bus to the demand increments at a arbitrary bus. The new approach to determine the load-focused MLF was developed under some practically endurable assumptions. Although the suggested method is very similar to the conventional penaty factors in its concept, the method is more efficient than the existing heuristic method for the load-focused MLF. To show its effectiveness and efficiency, numerical test have been performed in IEEE 14-bus system.