• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6D
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• pp.663-673
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• 2010

We are developing asset management information systems to introduce the preventive/proactive approach at operation and management (O&M) of infrastructures. The objective of this study is to explore the future direction for development and operation of asset management information systems. So, we developed the success model and selected the evaluation criteria for analyzing user satisfaction to assess the expected performance of asset management information systems and the degree of impact on asset management functions to operation and management of highway transportation facilities. We estimated the relative importance weight according to the selected evaluation criteria through AHP analysis. We verified the logical consistency of the importance weight and exclude biased outlier from importance weight group using the concept of the Compatibility.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.55-59
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• 2008

In the field of software reuse, several methods for storage and retrieval of assets abound. However, these methods often find their limits; they fail to turn up the suitable reusable assets that satisfy the needs of a particular software system under development. Two problems are the root cause of this situation. One is the lack of accurate semantics for describing software assets. The other is the ignorance of the user query context. In such a context, this paper presents an XML-based asset representation model for describing all kinds of software asset that can be reused within software development process. The proposed model provides semantic metadata for describing assets oriented user context in order to build the foundation for semantic reasoning in the retrieval process.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.7
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• pp.337-352
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• 2017

Clone-and-own reuse is an approach to creating new software variants by copying and modifying existing software products. A family of legacy software products developed by clone-and-own reuse often requires high maintenance cost and tends to be error-prone due to patch-ups without refactoring and structural degradation. To overcome these problems, many organizations that have used clone-and-own reuse now want to migrate their legacy products to software product line (SPL) for more systematic reuse and management of software asset. However, with most of existing methods, variation points are embedded directly into design and code rather than modeled and managed separately; variation points are not created ("engineered") systematically based on a variability model. This approach causes the following problems: it is difficult to understand the relationships between variation points, thus it is hard to maintain such code and the asset tends to become error-prone as it evolves. Also, when SPL evolves, design/code assets tend to be modified directly in an ad-hoc manner rather than engineered systematically with appropriate refactoring. To address these problems, we propose a feature-oriented method for extracting a SPL asset from a family of legacy applications. With the approach, we identify and model variation points and their relationships in a feature model separate from implementation, and then extract and manage a SPL asset from legacy applications based on the feature model. We have applied the method to a family of legacy Notepad++ products and demonstrated the feasibility of the method.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1999.04a
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• pp.154-155
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• 1999

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.11a
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• pp.46-47
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• 2003

• Journal of Korean Society of Industrial and Systems Engineering
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• v.8 no.12
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• pp.13-25
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• 1985

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.757-769
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• 2013

Intangible assets for construction engineering consulting firms are very important for their valuation, because engineering consulting is typical knowledge-based business which creates value based on technical expertise and human resources. This paper presents the intangible asset classification model based on the concept of value creation in construction engineering consulting firm and proposes intangible asset valuation methodology using System Dynamics and survey data. Utilization of the valuation methodology presented in this paper would increase the public awareness of intangible assets in construction engineering consulting firm and, thus, contribute to the growth of the engineering consulting industry by realistic and accurate valuation of intangible assets.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.573-588
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• 2023

Purpose: This study presents a research approach that utilizes deep reinforcement learning to construct optimal portfolios based on the business cycle for stocks and other assets. The objective is to develop effective investment strategies that adapt to the varying returns of assets in accordance with the business cycle. Methods: In this study, a diverse set of time series data, including stocks, is collected and utilized to train a deep reinforcement learning model. The proposed approach optimizes asset allocation based on the business cycle, particularly by gathering data for different states such as prosperity, recession, depression, and recovery and constructing portfolios optimized for each phase. Results: Experimental results confirm the effectiveness of the proposed deep reinforcement learning-based approach in constructing optimal portfolios tailored to the business cycle. The utility of optimizing portfolio investment strategies for each phase of the business cycle is demonstrated. Conclusion: This paper contributes to the construction of optimal portfolios based on the business cycle using a deep reinforcement learning approach, providing investors with effective investment strategies that simultaneously seek stability and profitability. As a result, investors can adopt stable and profitable investment strategies that adapt to business cycle volatility.

• IE interfaces
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• v.16 no.2
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• pp.167-173
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• 2003

We attempted to empirically analyze the supply chain performance of Korean companies. We utilized the supply chain performance metric of SCOR(Supply-Chain Operations Reference-Model) which has been developed by the Supply Chain Council. We especially focused on the supply chain asset performance using the currently available accounting database of Korean companies. Cash-to-cash cycle time, inventory days of supply, and asset turns were analyzed for 621 Korean companies during the last 5 year period 1997-2001. We compared the performance by industry type and company size. In addition, we compared the cash-to-cash cycle time of Korean companies with global companies.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.26 no.2
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• pp.121-137
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• 2022

In this paper, we investigate an efficient hybrid method for solving two-asset time fractional Black-Scholes partial differential equations. The proposed method is based on the Crank-Nicolson the radial basis functions methods. We show that, this method is convergent and we obtain good approximations for solution of our problems. The numerical results show high accuracy of the proposed method without needing high computational cost.