• Journal of Computing Science and Engineering
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• v.6 no.4
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• pp.267-278
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• 2012

The state-of-the-art techniques in multicore timing analysis are limited to analyze multicores with shared instruction caches only. This paper proposes a uniform framework to analyze the worst-case performance for both shared instruction caches and data caches in a multicore platform. Our approach is based on a new concept called address flow graph, which can be used to model both instruction and data accesses for timing analysis. Our experiments, as a proof-of-concept study, indicate that the proposed approach can accurately compute the worst-case performance for real-time threads running on a dual-core processor with a shared L2 cache (either to store instructions or data).

• Wind and Structures
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• v.13 no.2
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• pp.191-206
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• 2010

Windborne debris is a major cause of structural damage during severe windstorms and hurricanes owing to its direct impact on building envelopes as well as to the 'chain reaction' failure mechanism it induces by interacting with wind pressure damage. Estimation of debris risk is an important component in evaluating wind damage risk to residential developments. A debris risk model developed by the authors enables one to analytically aggregate damage threats to a building from different types of debris originating from neighboring buildings. This model is extended herein to a general debris risk analysis methodology that is then incorporated into a vulnerability model accounting for the temporal evolution of the interaction between pressure damage and debris damage during storm passage. The current paper (Part I) introduces the debris risk analysis methodology, establishing the mathematical modeling framework. Stochastic models are proposed to estimate the probability distributions of debris trajectory parameters used in the method. It is shown that model statistics can be estimated from available information from wind-tunnel experiments and post-damage surveys. The incorporation of the methodology into vulnerability modeling is described in Part II.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.927-934
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• 2009

This paper presents a commonality and variability analysis method for UML CASE tool frameworks. Commonality and Variability analysis increase extension and reusability by separating common area and variable area. We suggest class category based on property and the notation to represent commonality and variability. It is also implements frameworks based on analysis method and verify method using defect removal efficiency.

• Structural Engineering and Mechanics
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• v.59 no.1
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• pp.101-122
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• 2016

Elasticity solutions for bi-directional functionally graded beams subjected to arbitrary lateral loads are conducted, with emphasis on the end effects. The material is considered macroscopically isotropic, with Young's modulus varying exponentially in both axial and thickness directions, while Poisson's ratio remaining constant. In order to obtain an exact analysis of stress and displacement fields, the symplectic analysis based on Hamiltonian state space approach is employed. The capability of the symplectic framework for exact analysis of bi-directional functionally graded beams has been validated by comparing numerical results with corresponding ones in open literature. Numerical results are provided to demonstrate the influences of the material gradations on localized stress distributions. Thus, the material properties of the bi-directional functionally graded beam can be tailored for the potential practical purpose by choosing suitable graded indices.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.63-80
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• 2022

In this paper, we study structural changes and performance gains in condition-based maintenance process redesign when mobile IoT technology is embedded into urban railway rolling stock. We first develop condition-based maintenance To-Be process model in accordance with the IoT deployment scheme. Secondly, we draw upon theoretical framework of redesign process analysis to develop performance evaluation method suitable to predictive maintenance shift from As-Is ordinary maintenance practice. Subsequently, To-Be process performance evaluations are conducted adopting both the quantitative and qualitative method for time, cost, and dependability dimensions. The results ascertain the considerable benefits captured through detection abnormality prior to actual rolling stock failure occurrence, and details of performance improvements and enhancement of standardization level is revealed. The procedures and results presented in this paper offers useful insights in the fields of IoT economic analysis, condition based maintenance, and business process redesign.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.701-713
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• 2023

Purpose: The primary purpose of this study is to integrate text mining and Quality Function Deployment (QFD) to automatically extract valuable information from customer reviews, thereby establishing a QFD frame- work to confirm genuine customer needs for New Product Development (NPD). Methods: Our approach combines text mining and QFD through topic modeling and sentiment analysis on a large data set of 56,873 customer reviews from Zappos.com, spanning five running shoe brands. This process objectively identifies customer requirements, establishes priorities, and assesses competitive strengths. Results: Through the analysis of customer reviews, the study successfully extracts customer requirements and translates customer experience insights and emotions into quantifiable indicators of competitiveness. Conclusion: The findings obtained from this research offer essential design guidance for new product develop- ment endeavors. Importantly, the significance of these results extends beyond the running shoe industry, presenting broad and promising applications across diverse sectors.

• Journal of Electrical Engineering and Technology
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• v.6 no.2
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• pp.147-153
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• 2011

This paper proposes a methodology using a tool based on the branch-parameter continuation power flow (BCPF) in order to restore the power flow solvability in unsolvable contingencies. A specified contingency from a set of transmission line contingencies is modeled, considering the transient analysis and practice in the Korean power system. This tool traces a solution path that satisfies the power flow equations with respect to the variation of the branch parameter. At a critical point, in which the branch parameter can move on to a maximum value, a sensitivity analysis with a normal vector is performed to identify the most effective compensation. With the sensitivity information, the location of the reactive power compensation is determined and the effectiveness of the sensitivity information is verified to restore the solvability. In the simulation, the proposed framework is then applied to the Korean power system.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.9
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• pp.355-362
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• 2022

Smart Farm, which combines information and communication technologies with agriculture is moving from simple monitoring of the growth environment toward discovering the optimal environment for crop growth and in the form of self-regulating agriculture. To this end, it is important to collect related data, but it is more important for farmers with cultivation know-how to analyze the collected data from various perspectives and derive useful information for regulating the crop growth environment. In this study, we developed a web service that allows farmers who want to obtain necessary information with data related to crop growth to easily analyze data. Web-based data analysis serivice developed uses R language for data analysis and Express web application framework for Node.js. As a result of applying the developed data analysis service together with the growth environment monitoring system in operation, we could perform data analysis what we want just by uploading a CSV file or by entering raw data directly. We confirmed that a service provider could provid various data analysis services easily and could add a new data analysis service by newly adding R script.

• Convergence Security Journal
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• v.13 no.3
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• pp.71-77
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• 2013

In our country security industry biz model analysis methodology fragmentary theory exists, but it is hard to find a comprehensive analysis methodology. Biz model analysis IT companies the external factors and internal factors to integrate the information gathered about the comprehensive analysis of the development of an information system are required. Information support system early in the software architecture of the system design decisions early decision as the design, development, testing, maintenance, has a lasting impact on the project as a guideline in the development of a framework of design abstraction. BMO evaluation support information systems architecture designs system purposes. The mission must support the execution. Information system stakeholders to determine the mission and the environment. All information systems architecture shall have architecture. Technology architecture should be documented with each other can be used. Determine the architecture based architecture descriptions are presented.

• The Journal of Fisheries Business Administration
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• v.32 no.1
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• pp.99-123
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• 2001

The relatively recent emphasis on a total allowable catch(TAC) system is placing new demands on fisheries management. Korean fisheries law has provided recently for implementation of the TAC based on fishery management system, in order to conserve and manage fisheries resources rationally in its exclusive economic zone(EEZ). In 1998, the TAC system was first applied to Korean fisheries. This TAC system is currently undergoing a second trial period, having been put under the system for 20012002 and continuous trial basis until the complete settlement of EEZ system agreement among three countries, Korea, China and Japan. The TAC system implementation needs are sophisticated information collection, analysis and modeling that will continue to increase and require the high management resources. In addition, data on social and economic impacts on TAC system is sometimes inadequate. The implementation of the TAC system provides a unique opportunity to examine the limits of management information and resources, and to solve the problems in Korean fisheries management system, These limits and problems are complicated by an inadequate biologically and economically information and insufficient management resources. Government and fisheries cooperatives must be cooperated in the management process in order to minimize its conflicts and maximize commitment to sustain fishery development. Recognition of the ineffectiveness and its potential consequences leads to the adoption of the cooperative-based co-management approach in implementation of TAC system. In 1998, the TAC system was first applied to Korean fisheries, where traditional fishery management has consisted mainly of technical measures and input controls. The QMS of TAC system has been implemented in the form of cooperative-based co-management framework. This QMS framework was chosen to overcome many difficulties and limits that a competitive TAC system would impose on Korean traditional fisheries management. The implementation of the QMS of TAC system provides a unique opportunity to examine the limits of management information and resources, and to solve the problems in Korean fisheries management system.