• Journal of Computational Design and Engineering
• /
• v.2 no.2
• /
• pp.119-127
• /
• 2015

In the case of a high-valuable asset, the Operation and Maintenance (O&M) phase requires heavy charges and more efforts than the installation (construction) phase, because it has long usage life and any accident of an asset during this period causes catastrophic damage to an industry. Recently, with the advent of emerging Information Communication Technologies (ICTs), we can get the visibility of asset status information during its usage period. It gives us new challenging issues for improving the efficiency of asset operations. One issue is to implement the Condition-Based Maintenance (CBM) approach that makes a diagnosis of the asset status based on wire or wireless monitored data, predicts the assets abnormality, and executes suitable maintenance actions such as repair and replacement before serious problems happen. In this study, we have addressed several aspects of CBM approach: definition, related international standards, procedure, and techniques with the introduction of some relevant case studies that we have carried out.

• International Journal of Highway Engineering
• /
• v.19 no.3
• /
• pp.19-30
• /
• 2017

PURPOSES : This study proposes the road asset valuation approach using alternative depreciation methods. It has become necessary to have asset management system according to the adoption of accrual basis accounting for governmental financial reporting and the amendment of the road act. Therefore, it is very important to analyze the effect of depreciation methods on road asset value as a basic research for road asset management system. METHODS : The Ministry of Strategy and Finance (MOSF) has mainly performed road asset valuation based on Write down Replacement Cost and Straight Line depreciation method. This study suggests some appropriate asset valuation methods for road assets through case analysis using three depreciation methods: Consumption-based depreciation method, Condition-based depreciation method, and Straight Line depreciation method. A road asset valuation data of national highway route 1 (year 2014) is used to analyze the effect of three depreciation methods on the road asset value. Road assets include land and structures (pavement, bridge, and tunnel). This study mainly focuses on structures such as bridges and tunnels, because according to governmental accounting standards, land and road pavement assets do not depreciate. RESULTS : The main results of this study are as follows. Firstly, overall asset value of national highway route 1 was estimated at 6.97 trillion KRW when MOSF's method (straight-line depreciation method) is applied. Secondly, asset value was estimated at 4.85 trillion KRW on application of consumption-based depreciation method. Thirdly, asset value was estimated at 4.37 trillion KRW when condition-based depreciation method is applied. Therefore, either consumption-based or condition-based depreciation methods would be more appropriate than straight-line depreciation method if we can use the condition data of road assets including land that are available in real time. CONCLUSIONS : Since road assets such as pavements, bridges, and tunnels have various patterns of deterioration and condition monitoring period, it is necessary to consider a specific valuation method according to the condition of each road asset. Firstly, even though road pavements do not depreciate, asset valuation through condition-based depreciation method would be more appropriate when requirements for application of non-depreciation approach are not satisfied. Since bridge and tunnel facilities show various patterns of deterioration and condition monitoring period by type and condition level, consumption-based depreciation method based on deterioration model would be appropriate. Therefore, it is necessary to have a reasonable asset management system to apply condition-based depreciation method and a periodic condition investigation to manage road assets well.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.3-10
• /
• 2022

An estimated investment gap of $176 billion needs to be filled over the next ten years to improve America's inland waterway transportation systems. Many of these infrastructure systems are now beyond their original 50-year design life and are often behind in maintenance due to funding constraints. Therefore, long-term maintenance strategies (i.e., asset management (AM) strategies) are needed to optimize investments across these waterway systems to improve their condition. Two common AM strategies include policy-driven maintenance and performance-driven maintenance. Currently, limited research exists on selecting the optimal AM approach for managing inland waterway transportation assets. Therefore, the goal of this study is to provide a decision model that can be used to select the optimal alternative between the two AM approaches by considering key uncertainties such as asset condition, asset test results, and asset failure. We achieve this goal by addressing the decision problem as a single-criterion problem, which calculates each alternative's expected value and certain equivalence using allocated monetary values to determine the recommended alternative for optimally maintaining navigable waterways. The decision model considers estimated and predicted values based on the current state of the infrastructure. This research concludes that the performance-based approach is the optimal alternative based on the expected value obtained from the analysis. This research sets the stage for further studies on fiscal constraints that will effectively optimize these assets condition.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.5 no.3
• /
• pp.55-67
• /
• 2002

Various researches and practices on asset management and asset-based mapping have been done with regard to engineering, industry, business and stocks marketing areas. Their notions and concepts are differently interpreted in response to different requirements. There are considerable research outcomes of management, operation and maintenance for physical, natural and digital assets. However, existing concept of asset management might have limitations to deal with diverse tangible or intangible assets at the individual/household/community level. In this paper, a conceptual framework of Hexad asset model is designed to explicate increase, decrease and other changes of assets flows as a geometric pathway. Particularly, consideration of lands and housing as important physical and natural assets to escape poverty not only leads to creation of an excellent 3D digital asset management, but also reaches to a new approach to asset-based mapping for a poverty information management and system.

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

• Venture DIGEST
• /
• s.19
• /
• pp.9-9
• /
• 2003

기업가치 평가에 있어 전통적인 접근 방법은 크게 세가지 접근방법으로 대별되는데 자산가치접근방법(Asset-Based Approach), 수익가치접근방법(Income-Based Approach), 시장가치접근방법(Market Comparable Transactions Approach)으로 구분된다.

• Journal of the Korean housing association
• /
• v.27 no.3
• /
• pp.47-58
• /
• 2016

The new paradigm of urban regeneration, would promote the comprehensive communal view. Therefore, the community role has become an important and necessary for regeneration of communities. It is necessary for urban regeneration which should be matched with the regional characteristics, to develop an evaluation framework that can objectively and accurately diagnose the status of community; so it can be an integrated prescription. A new alternative, asset-based approach may be an alternative to build the community based on opportunities and strengths, which focuses on community inside and things that community have. In this study, a community asset is defined as the tangible and intangible components in the community. A community asset evaluation system is developed through the content analysis related to previous studies of several researchers who investigated the asset-based approaches. Community assets are classified into seven types: human, social, cultural, natural, physical, economic, and political property. Each type is classified into components and establish as a framework with 3 levels in order to set the indicators which can be measured concretely.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.25 no.3
• /
• pp.82-92
• /
• 2021

In this study, we present a fast option pricing method for four asset equity-linked securities (ELS) using Brownian bridge. The proposed method is based on Monte Carlo simulation (MCS) and a Brownian bridge approach. Currently, three asset ELS is the most popular ELS among multi-asset ELSs. However, four asset ELS emerged as an alternative to three asset ELS under low interest rate environment to give higher coupon rate to investors. We describe in detail the computational solution algorithm for the four underlying asset step-down ELS. The numerical tests confirm the accuracy and speed of the method.

• Human Ecology Research
• /
• v.55 no.3
• /
• pp.321-336
• /
• 2017

This study examines the effect of family resources on low-income families by exploring their holistic experience of poverty to the formation of resilience. A grounded theory approach is utilized to structure process from their experience of poverty as well as the use of social welfare services to the formation of resilience. This study targets 17 families involved in the pilot project for the beneficiaries of an asset building program in Seoul. In accordance with open coding and a paradigm model by the result of axial coding, 86 concepts, 23 sub-category, and nine categories are produced. These categories are classified into the causal condition (a tough life due to poverty), contextual condition (being the recipient of an asset building program), intervening conditions (interpersonal resources and effects of accumulated time or experience), central phenomenon (a will to live and overcome poverty), actions/interactions (active behavior and change of attitude), and consequences (change of asset levels and increased efficacy in their lives). The integrating categories identify the core category as 'the process of making a resilient life out of the power to live' and a final process model is organized. The results suggest crucial implications to develop comprehensive policies to address poverty issues for low-income families with a strength-based approach.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.11
• /
• pp.75-84
• /
• 2018

Social engineering attack means to get information of Social engineering attack means to get information of opponent without technical attack or to induce opponent to provide information directly. In particular, social engineering does not approach opponents through technical attacks, so it is difficult to prevent all attacks with high-tech security equipment. Each company plans employee education and social training as a countermeasure to prevent social engineering. However, it is difficult for a security officer to obtain a practical education(training) effect, and it is also difficult to measure it visually. Therefore, to measure the social engineering threat, we use the results of social engineering training result to calculate the risk by system asset and propose a attack graph based probability. The security officer uses the results of social engineering training to analyze the security threats by asset and suggests a framework for quick security response. Through the framework presented in this paper, we measure the qualitative social engineering threats, collect system asset information, and calculate the asset risk to generate probability based attack graphs. As a result, the security officer can graphically monitor the degree of vulnerability of the asset's authority system, asset information and preferences along with social engineering training results. It aims to make it practical for companies to utilize as a key indicator for establishing a systematic security strategy in the enterprise.