• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.455-458
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• 2009

블루투스 기술은 이동 단말, 개인용 컴퓨터 및 주변기기, 정보가전 등에 다양하게 적용되어 왔다. 이러한 적용 영역들 중에서도 원래 블루투스 기술의 최대 관심인 휴대폰에의 적용이 가장 비약적으로 이루어져, 현재는 무선 헤드셋 및 전화접속 네트워킹 등의 응용에 사용되고 있다. 하지만 현재의 블루투스 기술은 무선 헤드셋 영역에 집중되어 있고 다양한 소프트웨어 응용 및 적용 사례가 미약하다. 본 논문에서는 블루투스 노드와 블루투스 AP(Access Point)를 이용하여 영화관, 기차역, 은행, 관공서 등의 다양한 장소의 키오스크 서버(Kiosk Server)에 원격으로 접속하여 모바일 단말기기는 사용자의 입력과 출력만을 담당하여 키오스크 서버에 전달되고 키오스크 서버는 전달된 데이터를 처리하여 사용자에게 전달하는 Profile의 프레임워크를 설계하여 차후 구현을 목표로 한다.

• 한국정밀공학회지
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• 제23권6호
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• pp.88-95
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• 2006

In this paper, the gain-scheduled control design proposed in the previous paper has been applied to a target tracking system. In such system, it is needed to attenuate disturbance effectively as long as control input satisfies the given constraint on its magnitude. The scheduled gains are derived in the framework of linear matrix inequality(LMI) optimization by means of the MatLab toolbox. Its effectiveness is verified along with the simulation results compared with the conventional optimum constant gain and the scheduled gain control with constant Q matrix cases.

• 한국정밀공학회지
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• 제24권12호
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• pp.65-73
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• 2007

In this paper, the gain scheduled state feedback and disturbance feedforward control design proposed in the previous paper has been applied to a simple matching system and a turret stabilization system. In such systems, it is needed to attenuate disturbance response effectively as long as control input satisfies the given constraint on its magnitude. The scheduled control gains are derived in the framework of linear matrix inequality(LMI) optimization by means of the MatLab toolbox. Its effectiveness is verified along with the simulation results compared with the conventional optimum constant gain control and the scheduled state feedback control cases.

• Journal of Information Processing Systems
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• 제14권2호
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• pp.455-468
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• 2018

The concepts of graph theory are applied to model and analyze dynamics of computer networks, biochemical networks and, semantics of social networks. The analysis of dynamics of complex networks is important in order to determine the stability and performance of networked systems. The analysis of non-stationary and nonlinear complex networks requires the applications of ordinary differential equations (ODE). However, the process of resolving input excitation to the dynamic non-stationary networks is difficult without involving external functions. This paper proposes an analytical formulation for generating solutions of nonlinear network ODE systems with functional decomposition. Furthermore, the input excitations are analytically resolved in linearized dynamic networks. The stability condition of dynamic networks is determined. The proposed analytical framework is generalized in nature and does not require any domain or range constraints.

• 제어로봇시스템학회논문지
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• 제4권3호
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• pp.308-314
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• 1998

This paper studies the problem of computing the Hankel singular values and vectors in the input delay systems. It is shown that the Hankel singular values are solutions to a transcendental equation and the Hankel singular vectors are obtained from the kernel of the matrix. The computation is carried out in state space framework. Finally, Hankel approximation of a simple example shows the usefulness of this study.

• 전기학회논문지
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• 제66권1호
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• pp.137-143
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• 2017

In this paper, we investigate static control of Boolean networks described in the framework of semi-tensor product (STP) operation. The control objective is to determine control input nodes and their logical values so as to stabilize the considered Boolean network to a desired fixed point or cycle. Using topology of Boolean networks such as incidence matrix and hub nodes, a set of appropriate control input nodes is selected, and based on STP operations, we assign constant control inputs so that the controlled network can converge to a prescribed fixed point or cycle. To validate applicability of the proposed scheme, we conduct a numerical study on the problem of determining control input nodes for a Boolean network representing hierarchical differentiation of myeloid progenitors.

• 대한수학회지
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• 제59권2호
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• pp.217-233
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• 2022

Although machine learning shows state-of-the-art performance in a variety of fields, it is short a theoretical understanding of how machine learning works. Recently, theoretical approaches are actively being studied, and there are results for one of them, margin and its distribution. In this paper, especially we focused on the role of margin in the perturbations of inputs and parameters. We show a generalization bound for two cases, a linear model for binary classification and neural networks for multi-classification, when the inputs have normal distributed random noises. The additional generalization term caused by random noises is related to margin and exponentially inversely proportional to the noise level for binary classification. And in neural networks, the additional generalization term depends on (input dimension) × (norms of input and weights). For these results, we used the PAC-Bayesian framework. This paper is considering random noises and margin together, and it will be helpful to a better understanding of model sensitivity and the construction of robust generalization.

• 한국멀티미디어학회논문지
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• 제22권6호
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• pp.655-664
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• 2019

In this paper, we propose a novel way of combining multiple deep convolutional neural network (DCNN) architectures which work well for accurate video face identification by adopting a serial combination of 3D and 2D DCNNs. The proposed method first divides an input video sequence (to be recognized) into a number of sub-video sequences. The resulting sub-video sequences are used as input to the 3D DCNN so as to obtain the class-confidence scores for a given input video sequence by considering both temporal and spatial face feature characteristics of input video sequence. The class-confidence scores obtained from corresponding sub-video sequences is combined by forming our proposed class-confidence matrix. The resulting class-confidence matrix is then used as an input for learning 2D DCNN learning which is serially linked to 3D DCNN. Finally, fine-tuned, serially combined DCNN framework is applied for recognizing the identity present in a given test video sequence. To verify the effectiveness of our proposed method, extensive and comparative experiments have been conducted to evaluate our method on COX face databases with their standard face identification protocols. Experimental results showed that our method can achieve better or comparable identification rate compared to other state-of-the-art video FR methods.

• Structural Engineering and Mechanics
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• 제76권6호
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• pp.709-724
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• 2020

The typical inerter system, the tuned viscous mass damper (TVMD), has been proven to be efficient. It is characterized by an energy-dissipation-enhancement effect, whereby the dashpot deformation of TVMD can be amplified for enhanced energy dissipation efficiency. However, existing studies related to TVMD have mainly been performed on elastic structures, so the working mechanism remains unclear for nonlinear structures. To deal with this, an energy-spectrum analysis framework is developed systematically for classic bilinear hysteretic structures with TVMD. Considering the soil effect, typical bedrock records are propagated through the soil deposit, for which the designed input energy spectra are proposed by considering the TVMD parameters and structural nonlinear properties. Furthermore, the energy-dissipation-enhancement effect of TVMD is quantitatively evaluated for bilinear hysteretic structures. The results show that the established designed input energy spectra can be employed to evaluate the total energy-dissipation burden for a nonlinear TVMD structure. Particularly, the stiffness of TVMD is the dominant factor in adjusting the total input energy. Compared with the case of elastic structures, the energy-dissipation-enhancement effect of TVMD for nonlinear structures is weakened so that the expected energy-dissipation effect of TVMD is replaced by the accumulated energy dissipation of the primary structure.

• 지능정보연구
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• 제17권4호
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• pp.19-36
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• 2011

시맨틱 웹(Semantic Web)의 비전에 대한 공표가 이루어진 이래로 이와 관련한 많은 연구가 진행되어 왔다. 그러나 지금까지의 연구가 성공적이었다는 판단을 하기에는 아직 이르다. 본 논문은 시맨틱 관련 연구분야의 두 가지 문제점을 진단한다. 첫째는 '시맨틱 검색'이라는 개념의 합의된 정의가 없다는 것이고, 둘째는 장래의 유관 연구를 바라볼 수 있는 종합적이고 체계적인 시각이 부족하다는 것이다. 이러한 진단 아래, 본 논문은 시맨틱 검색의 개념을 '사용자의 입력에 따라 온톨로지와 같은 시맨틱 기술을 이용하여 원하는 정보를 얻는 행위'로 정의한다. 또한 시맨틱 검색에 대한 이해를 돕기 위해 시맨틱 검색 엔진 분류 프레임워크를 제안하였다. 본 연구에서 제안하는 프레임워크는 (쿼리) 입력문의 처리, 타겟 소스, 검색 방법론, 검색결과의 서열화, 출력 결과물의 데이터 종류, 이렇게 다섯 가지 부분으로 나뉜다. 마지막으로 본 논문은 제시한 프레임워크를 응용하여 기존의 연구결과물을 분석하고 앞으로의 연구 방향을 논하는 것으로 끝을 맺는다.