• Communications for Statistical Applications and Methods
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• v.16 no.5
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• pp.803-812
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• 2009

The application of extreme value theory to financial data is a fairly recent innovation. The classical annual maximum method is to fit the generalized extreme value distribution to the annual maxima of a data series. An alterative modern method, the so-called threshold method, is to fit the generalized Pareto distribution to the excesses over a high threshold from the data series. A more substantial variant is to take the point-process viewpoint of high-level exceedances. That is, the exceedance times and excess values of a high threshold are viewed as a two-dimensional point process whose limiting form is a non-homogeneous Poisson process. In this paper, we apply the two-dimensional non-homogeneous Poisson process model to daily losses, daily negative log-returns, in the data series of KBW/USD exchange rate, collected from January 4th, 1982 until December 31 st, 2008. The main question is how to estimate extreme quantiles of losses such as the 10-year or 50-year return level.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.169-176
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• 2015

The purpose of this paper is to study renovation plan of value chain from a user's viewpoint by making practical application of digital technology. And it is surely meaningful to investigate the important motivation factors of continuous using smart-phone, and to analyze the improving effect toward to the quality of life in continuous using smart-phone. By this study we can expect the value improving effect of user experience. The results of hypothesis testing can be summarized as follows: First, the hypothesis that positive affect has a plus effect on pragmatic value is accepted. Secondly, the hypothesis that positive affect has a plus effect on hedonic value is accepted. Thirdly, the hypothesis that negative affect has a minus effect on pragmatic value is accepted. Fourthly, the hypothesis that negative affect has a minus effect on pragmatic value is rejected. Fifthly, the hypothesis that pragmatic value has a plus effect on life satisfaction is accepted. Sixthly, the hypothesis that hedonic value has a plus effect on life satisfaction is rejected. In the competition among enterprises, user experience instead of goods themselves became influential as a differential factor. And many advanced enterprises began taking a serious view of customer's happiness and user experience improvement.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.133-144
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• 2017

For a social venture in early stage, it is very difficult to set up a strategy as it has to pursue two contradictory goals; economic value and social value. The platform strategy can be good alternative solution for social ventures as it seeks building-up connections with other businesses to co-create value despite of limited resources. A Korean social venture, JUMP! which adopted platform strategy in the early stage, and successfully applied 4 key factors of platform strategy; core competency, value creation ability, efficiency and network effect, has been able to develop sustainable growth for itself and induce innovation and growth among the participants within the platform. This study was intended to research effect of adoption and successful application of platform strategy for social ventures in the early stage of start-up and draw conclusion through case study that platform strategy works for sustainable growth of social ventures.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.346-351
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• 2023

With the rapid development of Artificial Intelligence (AI) technology, there is an increasing variety of methods for creating 3D models. These include innovations such as text-only generation, 2D images to 3D models, and combining images with cue words. Each of these methods has unique advantages, opening up new possibilities in the field of 3D modeling. The purpose of this study is to explore and summarize these methods in-depth, providing researchers and practitioners with a comprehensive perspective to understand the potential value of these methods in practical applications. Through a comprehensive analysis of pure text generation, 2D images to 3D models, and images with cue words, we will reveal the advantages and disadvantages of the various methods, as well as their applicability in different scenarios. Ultimately, this study aims to provide a useful reference for the future direction of AI modeling and to promote the innovation and progress of 3D model generation technology.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.84-89
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• 2023

In recent years, with the breakthrough of Artificial Intelligence (AI) technology in deep learning algorithms such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAE), AI generation technology has rapidly expanded in various sub-sectors in the art field. 2022 as the explosive year of AI-generated art, especially in the creation of AI-generated art creative design, many excellent works have been born, which has improved the work efficiency of art design. This study analyzed the application design characteristics of AI generation technology in two sub fields of artistic creative design of AI painting and AI animation production , and compares the differences between traditional painting and AI painting in the field of painting. Through the research of this paper, the advantages and problems in the process of AI creative design are summarized. Although AI art designs are affected by technical limitations, there are still flaws in artworks and practical problems such as copyright and income, but it provides a strong technical guarantee in the expansion of subdivisions of artistic innovation and technology integration, and has extremely high research value.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.321-335
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• 2015

This study introduces the methods to apply and develop the integrated Cost of Quality (COQ) and Time-Driven Activity-Based Costing (TDABC) model for seeking not only quality improvement but also reduction of overhead cost. Inefficient and uneconomical COQ activities can be identified by using time driver which also maximizes the quality improvement for Prevention-Appraisal- Failure (PAF) quality costs. In contrast, reduction of the indirect cost of unused capacity resource using Quality Cost Capacity Ratio (QCCR) of TDABC minimizes overhead cost for COQ activities. In addition, linkage between Overall Equipment Effective (OEE) and Time Driver develops the integrated system of Total Productive Maintenance (TPM) and TDABC model. Lean OEE maximizes when an Unused Time (UT) of TDABC that are TPM losses and lean wastes reduces whereas the TPM Cost Capacity Ratio (TCCR) of TDABC minimizes indirect cost for non-value added TPM activities. Numerical examples are derived to better understand the proposed COQ/TDABC model and TPM/TDABC model from this paper. From the proposed model, process mapping and time driver of TDABC are known to lessen indirect cost from general ledger of comprehensive income statement with a better quality innovation and improvement of equipment.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.48-60
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• 2024

With the exponential growth of satellite data utilization, machine learning has become pivotal in enhancing innovation and cybersecurity in satellite systems. This paper investigates the role of machine learning techniques in identifying and mitigating vulnerabilities and code smells within satellite software. We explore satellite system architecture and survey applications like vulnerability analysis, source code refactoring, and security flaw detection, emphasizing feature extraction methodologies such as Abstract Syntax Trees (AST) and Control Flow Graphs (CFG). We present practical examples of feature extraction and training models using machine learning techniques like Random Forests, Support Vector Machines, and Gradient Boosting. Additionally, we review open-access satellite datasets and address prevalent code smells through systematic refactoring solutions. By integrating continuous code review and refactoring into satellite software development, this research aims to improve maintainability, scalability, and cybersecurity, providing novel insights for the advancement of satellite software development and security. The value of this paper lies in its focus on addressing the identification of vulnerabilities and resolution of code smells in satellite software. In terms of the authors' contributions, we detail methods for applying machine learning to identify potential vulnerabilities and code smells in satellite software. Furthermore, the study presents techniques for feature extraction and model training, utilizing Abstract Syntax Trees (AST) and Control Flow Graphs (CFG) to extract relevant features for machine learning training. Regarding the results, we discuss the analysis of vulnerabilities, the identification of code smells, maintenance, and security enhancement through practical examples. This underscores the significant improvement in the maintainability and scalability of satellite software through continuous code review and refactoring.

• Management & Information Systems Review
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• v.4
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• pp.1-28
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• 2000

CALS(Commerce At Light Speed)/EC(Electronic Commerce) is drawing considerable interest as strategic part of efforts for computerization of the government and companies and for industry-wide innovation, using Internet and information superhighway that is widely expanding world-wide with the development of computers and information communication technology. In the current industry infrastructure, standardization is difficult but very important among the parties that want to share the added value, as external environmental components increase since the advent of computers. However, information security technology is not permitted to be exported in light of national interest or high amount of royalty should be paid. Moreover, if we cannot fully analyze the international standard and imported technology in order to verify the safety of using them, domestic information can be exposed according to the desire of the country exporting the technology. In particular, information security technology should be developed by ourselves, considering technology Protection and export Prevention Policies of foreign countries. Therefore, this paper presents information security technology and standardization trends for several application fields regarding CALS/EC implementation in our and foreign countries. This paper also analyzes such trends and proposes strategic direction for standardization suited for domestic environment.

• IE interfaces
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• v.24 no.4
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• pp.408-419
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• 2011

R&D is a foundation for new business chance and productivity improvement leading to enormous expense and a long-term multi-step process. During the R&D process, decision-makers are confused due to the various future uncertainties that influence economic and technical success of the R&D projects. For these reasons, several decision-making models for R&D project investment have been suggested; they are based on traditional methods such as Discounted Cash Flow (DCF), Decision Tree Analysis (DTA) and Real Option Analysis (ROA) or some fusion forms of the traditional methods. However, almost of the models have constraints in practical use owing to limits on application, procedural complexity and incomplete reflection of the uncertainties. In this study, to make the constraints minimized, we propose a new model named Real Option Decision Tree Model which is a conceptual combination form of ROA and DTA. With this model, it is possible for the decision-makers to simulate the project value applying the uncertainties onto the decision making nodes.

• The Research Journal of the Costume Culture
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• v.22 no.2
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• pp.258-272
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• 2014

This study aims at comprehending the characteristics of fashion communications through case study about an art marketing that Prada develops in the field of modern fashion and providing theoretical materials on creativity-based art marketing and communication spread as expression strategy for brand philosophy and personality. For its research method, theoretical study was reviewed about art marketing and Prada's fashion philosophy and then cases on Prada's art marketing were analyzed according to their types. Prada's types in their art marketing are classified into several groups: support of art foundation and artists, differentiation via flagship store, application of image fashion, exhibition project, and cooperative work with different realms. From the above marketing strategies, we can find the values in that the brand image imbedded in enterprises with culture and art was contributable to set up the brand identity, that they were much beneficial to continuous activation for fashion culture and art fields, and that fashion communications of artistic emotion based on challenge and innovation were proposed. This fashion communication in Prada via way of art marketing is not just expression of Prada's luxury fashion brand but willingness to make their unique style from different facades. This also suggests the orientation that modern fashion should look forward to in finding a new way through cooperative relationship with other fields.