• Knowledge Management Research
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• v.9 no.3
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• pp.77-105
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• 2008

This study primarily aims at identifying what factors significantly affect the diffusion of knowledge management systems(KMS) and finding out how these identified factors can be effectively managed, especially for Korean companies. The research model is derived based on previous researches on innovation diffusion, information systems implementation, and KMS. The model is used to examine the role of determinants in influencing the extent to which KMS is diffused within organizations. Independent variables of this research are composed of technical characteristics, organizational characteristics and environmental characteristics. 'Breadth of diffusion' and 'depth of diffusion' concept are used to measure the extent of KMS diffusion which is the dependent variable of this model. The 101 companies of total 1,000 samples responded to the survey. To analyze tile results of this empirical study, we performed the multiple regression analysis. As a result, it was shown that the relative advantage, complexity, information system maturity, size, top management support, champion, competitive pressure have influences on both the breadth and the depth diffusions. On the other hand, the organizational culture, valuation and compensation, and uncertainty of environmental factors were not verified to be significant. This empirical study will provide Korean companies with insights into effective ways to diffuse the KMS and succeed in business competition.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.713-718
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• 2003

The CONDENSATION (Conditional Density Propagation) algorithm has a robust tracking performance and suitability for real-time implementation. However, the CONDENSATION tracker has some difficulties with real-time implementation for multiple people tracking since it requires very complicated shape modeling and a large number of samples for precise tracking performance. Further, it shows a poor tracking performance in the case of close or partially occluded people. To overcome these difficulties, we present three improvements: First, we construct effective templates of people´s shapes using the SOM (Self-Organizing Map). Second, we take the discrete HMM (Hidden Markov Modeling) for an accurate dynamical model of the people´s shape transition. Third, we use the competition rule to separate close or partially occluded people effectively. Simulation results shows that the proposed CONDENSATION algorithm can achieve robust and real-time tracking in the image sequences of a crowd of people.

• 한국연소학회:학술대회논문집
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• 2012.11a
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• pp.39-41
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• 2012

The influence of coal blending methods such as out-furnace (external or pre-mixed) blending and in-furnace (initially non-mixed) blending with different excess oxygen (highest, medium, and lowest stoichiometric conditions) on unburned carbon and NOx emissions of blend combustion in an entrained flow reactor (EFR) has been analyzed, using experimental and numerical approaches for binary coals used by Korean power plants. The results confirm that under the medium condition, contrasting processes such as reactive and un-reactive effects occur with SBRs in the out-furnace blending method. The in-furnace blending method results in an improvement in the efficiency of unburned carbon fractions and a further reduction in the NOx emission. Under the highest condition, the unburned carbon fraction in both the out-furnace and the in-furnace blending methods corresponds with the tendency under the medium condition with contrasting processes of lower magnitude, whereas the NOx emission in the highest condition increases slightly. Under the lowest conditions, the unburned carbon fraction in the out-furnace blending method gradually decreases as SBR decreases, without a competition effect. The reduction of NOx emission under the lowest conditions is more effective than those under other conditions for the two blending methods because of a homogeneous and heterogeneous NOx reduction mechanism.

• Journal of information and communication convergence engineering
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• v.6 no.3
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• pp.323-326
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• 2008

Data Envelopment Analysis (DEA) is a theoretically sound framework for performance analysis that offers many advantages over traditional methods such as performance ratios and regression analysis. Largely the result of multidisciplinary research during the last three decades in economics, engineering and management, DEA is best described as an effective new way of visualizing and analyzing performance data. Besides, overseas information technology companies have aggressively tried to enter the domestic market. In the age of globalization and high competition, it is imperative that the system integration (SI) companies need to introduce the performance evaluation models of SI projects, including Capability Maturity Model and Software Process Improvement and Capability Determination, to gain a competitive advantage. Therefore, it makes our research regarding evaluation of SI projects very opportune. The purpose of the study is not only to evaluate efficiency of each project by DEA but also to gain insight into various factors such as project complexity, team members' man-months structure, and process index(project management index) that link to the projects performance.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.1
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• pp.308-318
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• 2015

In order to improve the competitiveness of Korean large purse seine fishery, the purpose of this study is to find out the problems and present the improvement of the production structure of Korean large purse seine fishery by comparing to the production structure of Norwegian purse seine fishery. Norwegian purse seine fishery has been operating labor and energy-saving systems through a single wire operation and avoiding fishing competition through the introduction of IVQ system with different types of fishing vessel and obtaining benefits from Leading fishery management integrated with fish pumps and cooling water systems. In contrast, our country has a large purse seine fishery issues such as high cost and low efficiency of production structures, the volatility of mackerel resources, the lack of leading fishery management after catching fishes, the reduction of fishing ground in accordance with the North East Asia EEZ system. To solve these problems, initiatives to improve the structure of our large purse seine fishery are as follows: First, Implementing the promotion of the effective immature fishes management and establishing Korea-China-Japan resource management system. Second, the promotion of reduction of fleet size, the review of possible single fishing operation, leading out to strengthen its competitiveness by switching to energy-efficient production systems through enhanced efforts at fisheries catches steps. Third, it is necessary to realize corporate through the diversification of business areas and the large-scale commercialization of production structure.

• The Journal of Society for e-Business Studies
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• v.12 no.1
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• pp.73-87
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• 2007

To survive in a global competition, many companies are trying to standardize and visualize Business Process (BP) by implementing Business Process Management (BPM). Recently, enhancing business process efficiency has become one of critical success factors. In this paper, we introduce a two-phase perspective of BP efficiency: Process Engine Perspective (PEP) and Task Performer Perspective (TPP). The former is related to allocation function of BP engine; it is mainly concerned with efficient task allocation to users. The latter phase influences efficiency depending on how users execute tasks assigned to them. Instead of considering each phase separately, we develop a comprehensive method considering the two-phase together, which is more effective for the BP efficiency. We carry out simulation experiment to show the combinational effect of the two phases.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.1
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• pp.149-158
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• 2010

The domestic specialized coffee branch market is growing both in size and sales, and the competition between different brands is increasing. The goal of this study was to divide the customer's consumption motivations into utility usage motivation, hedonic usage motivation, and ostentation usage motivation and to determine how each motivation influences the attitude, satisfaction and loyalty toward the brand. The results can be summarized as follows. (1) Hedonic motivation and ostentation motivation with the exception of utility motivation were shown to have an effect on brand attitude. (2) Brand attitude was shown to have an effect on satisfaction and loyalty. (3) Satisfaction had an effect on loyalty. However, if the satisfaction was low, the intentions for subsequent visits and positive oral transmissions decrease. The result of this study showed that establishing positive brand attitude, satisfaction and loyalty to customers with pleasure and ostentation motivations is effective. Moreover, marketing activities such as cultural and playful events should be emphasized for customers with hedonic motivations, while environments with better atmosphere and careful service should be provided to customers with ostentation motivation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.1972-1986
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• 2017

With the advent of the knowledge economy, science and technology resources have played an important role in economic competition, and their optimal allocation has been regarded as very important across the world. Thus, allocation optimization research for regional science and technology resources is significant for accelerating the reform of regional science and technology systems. Regional science and technology resource allocation optimization is modeled as a double-layer optimization model: the entire system is characterized by top-layer optimization, whereas the subsystems are characterized by bottom-layer optimization. To efficaciously solve this optimization problem, we propose a mixed search method based on the orthogonal genetic algorithm and sensitivity analysis. This novel method adopts the integrated modeling concept with a combination of the knowledge model and heuristic search model, on the basis of the heuristic search model, and simultaneously highlights the effect of the knowledge model. To compare the performance of different methods, five methods and two channels were used to address an application example. Both the optimized results and simulation time of the proposed method outperformed those of the other methods. The application of the proposed method to solve the problem of entire system optimization is feasible, correct, and effective.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.1-23
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• 2016

The growth of information and communication technology (ICT) has led to a rapid of business paradigm shift incurred in the creation of new social/market value, changes of a value chain and elements producing a value creation, and enlargement of the scope of market competition. It leads to the change and evolution of industrial structure, requiring innovations of policy and institution. However, most studies that have focused on the effect of policy and institution on innovation are based on thick description and qualitative evidence, while paying little attention to these linkages in an empirical way. Hence this study has attempted to empirically analyze policy and institutional factors affecting innovation performance, particularly attention to ICT industry in OECD countries. The findings derived from the empirical analysis provide important implications for catch-up countries in relation to the innovations of policy and institution for effective innovation system and start-up ecosystem.

• International Commerce and Information Review
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• v.9 no.1
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• pp.355-379
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• 2007

With the effectuation of United Nations Framework Convention on Climate Change(UNFCCC) and Kyoto Protocol in 2005, ever growing concern on the importance of overseas forestation is diffusing worldwide. However, fierce international competition to secure overseas forestation sites, inherent uncertainty in UNFCCC or overseas forestation projects, and imbalances among policies on overseas natural resources development make it difficult to realize Korean long-term overseas forestation objective to secure 1 million ha by 2050. In view of necessity of overseas forestation projects for sustainable forest management and securing sinks of carbon to mitigate climate change, various efforts to reform current Korean overseas forestation systems are required. This study suggests several alternatives to improve current Korean overseas forestation systems including expanding financial support for overseas forestation projects, cultivating overseas forestation experts, establishing official organization for overseas forestation, constructing effective support system for overseas forestation projects, fostering international cooperation in the field of forest resources, and so on. Many theoretical, empirical or policy-oriented studies on the influences of UNFCCC and countermeasures on it in various Korean industries should follow this study.