• 정보처리학회논문지B
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• 제13B권4호
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• pp.421-428
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• 2006

Intelligent Tutoring System(ITS)이 다양한 학습자 변인을 고려한 개별화된 학습 환경을 제공하여 영역 전문가를 대신할 효율적인 대안으로 인식되어짐에 따라, Learning Companion System(LCS)에 대한 연구도 긍정적으로 검토되어지고 있다. 하지만 LCS에서의 원활한 상호작용을 위해서는 동일한 역할을 하는 복수 LC의 결합이 필요하고, 이는 개별적 지식베이스의 확보를 선행 조건으로 요구한다. 따라서 본 연구에서는 인지구조의 연결주의적 관점을 근거로, 지식베이스 자체의 자기 학습(self learning)이 가능하고, 지식베이스 객체의 소유자에 의해 적응적으로 성장 가능한 지식베이스 객체 모형을 설계하고, 이를 검증하였다. 이 지식베이스 객체 모형은 개별적 지식베이스의 구축을 가능하게 하여, 지식베이스 객체를 이용한 적응적 ITS 개발의 기회를 제공한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.73-78
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• 1999

This paper presents an effective construction method of adaptive multiple control systems utilizing some knowledge upon the plants. The adaptive multiple control system operates plants un-der widely changing environmental conditions. The adaptive multiple control system is composed of a family of candidate controllers together with a supervisor. The system does not require any identification schemes of environmental conditions. Monitoring outputs of the plant, the supervisor switches from one candidate controller to another, The basic ideas of adaptation are as follows: (1)each candidate controller is prepared for each environmental condition in advance; (2)the supervise. applies a sequence of speculative controls to the plant with candidate controllers just after the start of control or just after the detection of a change in the environmental condition. Each candidate controller can keep the system stable during one-step period of the speculative control and the most appropriate candidate controller for the environmental condition to which the system is exposed can be selected before the last trial of speculative control step comes to an end. We proposed a construction method of adaptive multiple control system without any knowledge of plant dynamics and applied the method to a cart-pole balancing problem and a vehicle anti skid braking system. In real applications, as we can often easily obtain a piece of knowledge upon plant dynamics beforehand, we intend to extend the method such that multiple control systems can be efficiently designed using the knowledge. We apply the new idea to the cart-pole balancing problem with variable length of the pole. The simulation experiments lead us to the conclusion that the new attempt can reduce the manpower to design the candidate controllers for adaptive multiple control systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.461-484
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• 2021

Compressed sensing in image reconstruction has attracted attention and many studies are proposed. As we know, adding prior knowledge about the distribution of the support on the original signal to CS can improve the quality of reconstruction. However, it is still difficult for a recovery framework adjusts its strategy for exploiting the prior knowledge efficiently according to the current estimated signals in serial iterations. With the theory of information geometry, we propose an adaptive strategy based on the current estimated signal in each iteration of the recovery. We also improve the performance of existing algorithms through the adaptive strategy for exploiting the prior knowledge according to the current estimated signal. Simulations are presented to validate the results. In the end, we also show the application of the model in the image.

• 지식경영연구
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• 제9권3호
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• pp.141-158
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• 2008

This study introduces the construct of group efficacy and combines the construct with the Adaptive Structuration Theory(AST) and user satisfaction framework. Job efficacy and IT efficacy identified as the dimensions of group efficacy are hypothesized to influence faithfulness of appropriation and consensus on appropriation. and then the user satisfaction of knowledge management systems(KMS). Data were collected through a survey of respondents who have the experience of using KMS, and analyzed by using structural equations modelling. The major findings of this study are as follows: First, job efficacy was found to have a positive influence on consensus on appropriation and user satisfaction. Second, IT efficacy was found to have a positive effect on faithfulness of appropriation and consensus on appropriation. Third, faithfulness of appropriation was found to have a positive influence on consensus on appropriation and user satisfaction. Implications of these findings are discussed for researchers and practitioners.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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• pp.1222-1229
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• 1993

An advanced design environment , which is based on adaptive and knowledge -based finite elements (INTELMESH), has been developed. Unlike other approaches, INTEMMESH incorporates the information about the object geometry as well as the boundary and loading conditions to generate an ${\alpha}$-priori finite element mesh which is more refined around the critical regions of the problem domain. INTEMMESH is designed for planar domains and axisymmetric 3-D structures of elasticity and heat transfer subjected to mechanical and thermal loading . It intelligently identifies the critical regions/points in the problem domain and utilize the new concepts of substructuring and wave propagation to choose the proper mesh size for them. INTEMMESH generates well-shaped triangular elements by applying trangulartion and Laplacian smoothing procedures. The adaptive analysis involves the intial finite elements analyze and an efficient ${\alpha}$-posteriori error analysis involves the initial finite element anal sis and an efficient ${\alpha}$-posteriori error analysis and estimation . Once a problem is defined , the system automatically builds a finite element model and analyzes the problem though automatic iterative process until the error reaches a desired level. It has been shown that the proposed approach which initiates the process with an ${\alpha}$-priori, and near optimum mesh of the object , converges to the desired accuracy in less time and at less cost. Such an advanced design/analysis environment will provide the capability for rapid product development and reducing the design cycle time and cost.

• Journal of Construction Engineering and Project Management
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• 제7권3호
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• pp.26-38
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• 2017

The architecture, engineering, and construction (AEC) industry is yet to formulate a holistic strategy to realign the evolving technological infrastructures with organisational ambitions and adaptive knowledge of the workforce. This study attempts to create an understanding of the underlying processes adopted by technology-enhanced construction organisations to disseminate and maintain knowledge within the workforce in order to keep pace with the evolving construction technologies. The study adopted expansive learning and adaptive expertise constructs to help better explain workplace learning support structures for organisational effectiveness in a turbulent situation. The two theories were tailored to empirically evaluate three case study construction organisations that have embarked on technology-enabled organisational changes. The study concluded on the creation of a facilitating workplace learning environment to enable the workforce to adapt into and resolve any inherent contradictions and cognitive ambiguities of the changing organisational conditions. This could ensure that novel and conflicting features of the emerging technologies can be adapted across the myriad multi-functional project activities in order to expand the frontiers of the technological capabilities to address the eminent issues confronting the AEC sector.

• 컴퓨터교육학회논문지
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• 제12권6호
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• pp.53-67
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• 2009

본 연구에서는 시멘틱 웹과 온톨로지 기술의 특징을 살펴보고 이러닝 분야에서 온톨로지를 적용한 연구들을 분석하였다. 또한, 적응형 학습에서 고려해야 될 모델들을 살펴보고, 그동안 연구되어 왔던 적응형 시스템들에 대해서 분석하였다. 이를 토대로 이러닝 분야에서 효과적으로 적응형 학습을 지원하기 위해 온톨로지 기술을 적용하기 위한 방안을 모색하고 실제 온톨로지에 기반한 적응형 시스템을 설계하였다. 본 연구에서 설계된 시스템은 기존의 온톨로지에 기반한 적응형 시스템에서의 대두된 문제점들을 보완하여 설계되었다. 즉, 학습자의 학습 수준과 상태를 적절하게 진단하고, 학습 스타일에 대한 세부적인 분류와 그에 따른 구체적이니 학습 지원 방법을 제공함으로써 보다 효율적인 적응형 학습을 지원하고자 하였다.

• 컴퓨터교육학회논문지
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• 제9권1호
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• pp.41-48
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• 2006

위키는 분산 환경의 협력학습 활동에 매우 효율적인 도구임이 최근 여러 실험을 통하여 연구되어 왔다. 위키는 구성원간의 지식공유가 효율적으로 이루어 질 수 있는 기능을 제공하고는 있으나, 페이지와 링크의 동적인 변화로 인한 내용구조의 복잡성으로 인하여 각 구성원이 내용구조를 전체적으로 파악하거나 자신에게 필요한 페이지를 효율적으로 찾기 힘든 단점이 있다고 볼 수 있다. 본 연구에서는 그룹 구성원들에 의한 페이지의 변화가 많이 발생하는 온라인 프로젝트 협력학습활동에서 그룹의 각 구성원에게 내용 구조와 자신에게 관심 있는 활동 페이지를 개별적으로 안내해줄 수 있는 적응적 내비게이션 안내 시스템을 개발하였다. 우리는 먼저 각 페이지와 구성원간의 관계 모델을 페이지 변화 정보와 개별 로그 정보를 사용하여 개발하고 이 모델을 사용하여 적응적 내비게이션 시스템을 설계 및 구현 하였으며, 이 적응적 시스템이 그룹 구성원간의 효율적인 정보공유 그리고 그로 인한 협력학습활동을 어떻게 촉진시켰는지를 현장 실험을 통하여 보여준다.

• 한국멀티미디어학회논문지
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• 제17권5호
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• pp.631-639
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• 2014

Recently, research on Media Access Control (MAC) techniques for underwater acoustic communication has been conducted actively. For successful acoustic communication in underwater conditions, development of environmentally adaptive MAC techniques, which is taking narrow bandwidth, distance, depth, noise level, salinity, multipath and etc into account, is an especially important work. In this paper, knowledge based system is introduced not only to obtain adaptive and optimal communication parameters but also increase network efficiency and availability by requesting change of MAC techniques based on decisions from knowledge-based system Smart Decision Block (SDB). Computer simulations were also conducted to verify the performance of the proposed system in underwater conditions.

• 지능정보연구
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• 제6권1호
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• pp.35-50
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• 2000

Diverse requirements of users on web-based model management force a system agent to develop user-adaptive building a model in reality and providing an adequate solution method of the model. The relationship between models is important knowledge for the agent to effectively build a new model to adaptively adjust an existing model under a problem and to efficiently connect the new model into an adequate solution method. Since the generating process of the inter-model relationship is more difficult than the building a new model however the process mostly depends on the knowledge of operation research experts. Without the adequate scheme of the inter-model relationship the burden of the management for the agent increases rapidly and the quality of the services may worsen. This study shows that meta-knowledge generated from relationship between models is important for the user to build a model in reality and to acquire the solver appropriate to the model. The relationship that consists of common and exclusive objects between models can be represented by frames. The system under development to implement the idea includes user-adaptive ability which identifies a model through forward chaining method and searches the solver appropriate to the model by using the meta knowledge. We illustrate the meta knowledge with an applied delivery system in supply chain management.