• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.77-85
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• 2012

This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.13-14
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• 2011

The main purpose of this research is to propose standardization of construction components design with BIM and to develop WLCM Framework and Application System for supply chain management on interaction of stakeholders based on proposed standard component. To accomplish main purpose of this research, we planned three years period, in first year, we will develop model for building lifecycle based on BIM, and this model can give the chance of collaboration with stakeholders of building project. In second year, we will develop WLCM system with model, and to improve performance of application model/system. This study can contribute on reduction of whole lifecycle cost, with preventing omission of factors on cost reduction possibility, develop concurrent engineering framework for construction stakeholders with proposed BIM.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.187-189
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• 2000

Nowadays, efforts are in progress for the standardization of CORBAbased telecommunication network management framework. To implement a network management system based on the framework completely, CORBA ORB and some of CORBA service should be installed in the element. And then, there must be the naming tree, which correspond to the containment relationships between components in the network element. If we use conventional OMG naming service to form the naming tree, all MOs, a software fragmenthat corresponds to each component in a system, should be instantiated. However, the network element is usually a kind of limited resource system, which cannot provide sufficient resources for applications run on it. Hence, instantiatingall MOs can cause problems for that kind of system, This paper presents Smart Naming Service architecture as a solution to the problem.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.124-126
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• 2002

Voice over Internet Protocol(VoIP) is expected to be a major application on the Internet in the future This paper propose an approach to VoIP that uses Differentiated Service and Multi-protocol Label Switching(MPLS) to provide quantitative QoS guarantees over an IP network. An algorithm that determines QoS-constrained routes is proposed and a framework that uses such an algorithm for traffic engineering is outlined. the key component of this framework is a Centralize Resource Manager(CRM) responsible for monitoring and managing resources within the network and making all decisions to route／reroute traffic according to QoS requirement

• Wind and Structures
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• v.22 no.5
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• pp.543-553
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• 2016

The growing complexity of modern technological systems requires more flexible and powerful reliability analysis tools. Existing tools encounter a number of limitations including lack of modeling power to address components interactions for complex systems and lack of flexibility in handling component failure distribution. We propose a reliability modeling framework based on the Bayesian network (BN). It can combine historical data with expert judgment to treat data scarcity. The proposed methodology is applied to wind turbines reliability analysis. The observed result shows that a BN based reliability modeling is a powerful potential solution to modeling and analyzing various kinds of system components behaviors and interactions. Moreover, BN provides performing several inference approaches such as smoothing, filtering, what-if analysis, and sensitivity analysis for considering system.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.107-123
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• 2017

This study uses the concept of dominant design to identify the determinants for the emergence of a next-generation dominant electronic display. It employs multiple research methods with the participation of display experts, which combine case studies, an unstructured interview, and the Delphi method. The results show that based on technological innovation and market dominance, a next-generation dominant display is more likely to emerge as a result of technological competition between liquid crystal displays (LCDs) and organic light-emitting diodes (OLEDs). The findings emphasize that the importance of rapid technological innovation, including component and process innovations, and a competitive edge in manufacturing costs are important. The study sheds light on our understanding of dominance in an industry and market, and also provides strategic guidance for practitioners to establish a competitive strategy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.754-755
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• 2017

CPS refers to a computer-based component and system that closely connects various complicated processes and information of real space with the cyber space that provides data access and processing services through internet. In this paper, CPS was applied to shop-floor as a part of CPS research.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.457-496
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• 2020

This study aims to extensively analyze the performance of various Machine Learning (ML) techniques for predicting version to version change-proneness of source code Java files. 17 object-oriented metrics have been utilized in this work for predicting change-prone files using 31 ML techniques and the framework proposed has been implemented on various consecutive releases of two Java-based software projects available as plug-ins. 10-fold and inter-release validation methods have been employed to validate the models and statistical tests provide supplementary information regarding the reliability and significance of the results. The results of experiments conducted in this article indicate that the ML techniques perform differently under the different validation settings. The results also confirm the proficiency of the selected ML techniques in lieu of developing change-proneness prediction models which could aid the software engineers in the initial stages of software development for classifying change-prone Java files of a software, in turn aiding in the trend estimation of change-proneness over future versions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3865-3883
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• 2016

Infrastructure as a Service (IaaS) encapsulates computer hardware into a large amount of virtual and manageable instances mainly in the form of virtual machine (VM), and provides rental service for users. Currently, VM anomaly incidents occasionally occur, which leads to performance issues and even downtime. This paper aims at detecting anomalous VMs based on performance metrics data of VMs. Due to the dynamic nature and increasing scale of IaaS, detecting anomalous VMs from voluminous correlated and non-Gaussian monitored performance data is a challenging task. This paper designs an anomaly detection framework to solve this challenge. First, it collects 53 performance metrics to reflect the running state of each VM. The collected performance metrics are testified not to follow the Gaussian distribution. Then, it employs independent components analysis (ICA) instead of principal component analysis (PCA) to extract independent components from collected non-Gaussian performance metric data. For anomaly detection, it employs multi-class Bayesian classification to determine the current state of each VM. To evaluate the performance of the designed detection framework, four types of anomalies are separately or jointly injected into randomly selected VMs in a campus-wide testbed. The experimental results show that ICA-based detection mechanism outperforms PCA-based and LDA-based detection mechanisms in terms of sensitivity and specificity.

• The KIPS Transactions:PartA
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• v.10A no.6
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• pp.701-708
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• 2003

This paper addresses the issue involved in dependability of distributed mobile agents in the Internet environment. We propose an architectural framework for the Internet applications making mobile agents into fault-tolerant. The replication of agents and data is of great importance to achieve fault tolerance in distributed systems over the Internet. This research focuses on the replication component for the proposed fault-tolerant mobile agent framework. We present and analyze the performance results obtained when doing simulation study on the effects of the degree of replication, the active and passive replication strategies, and the replication scale.