• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.679-681
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• 2005

배경은 정적인 실사 이미지이며 주요 등장 인물은 CG캐릭터인 경우, 배경 이미지 내의 객체와 CG 캐릭터 간에 상호 작용을 다루기 위하여 일반적으로 배경 내의 객체를 CG 캐릭터로 대체하는 방법을 사용한다. 그러나 본 연구에서는 배경의 객체를 직접 변형시키는 새로운 기법을 제안한다. 우리는 배경 내의 객체를 간단히 표현한 3D 모델로부터 정보를 얻어와 이미지 변형 기법을 이용하여 직접 배경의 객체를 변형시키고, ERI(Expression Ratio Image) 기법을 이용하여 변형된 배경의 객체에 달라진 조명 효과를 반영하는 방법을 사용하였다. 이 기법은 원본 이미지를 그대로 사용하므로, 실사와 같은 높은 품질의 결과물을 얻을 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.886-888
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• 2005

Network Intrusion Detection System(NIDS)는 네트워크를 통해 들어오는 패킷들을 모니터링 하고 분석하여 내부 시스템에 유해한 내용을 담고 있는 패킷을 탐지 하는 시스템이다. 이 시스템은 네트워크의 안에서 돌아다니는 패킷을 놓치지 않고 분석할 수 있어야 하며, 예측 불허의 공격 방법들에 대해서는 새로운 법칙을 적용하여 방어할 수 있어야 한다. 본 연구에서 NDIS에 snort를 이용한 소프트웨어적인 패턴매칭을 FPGA를 이용하여 하드웨어적 패턴매칭으로 구현하였으며, 새로운 법칙에 따라서 유연하게 적응할 수 있도록 패턴매칭을 정규 표현식(Regular Expression)으로 나타내어 FPGA에 재구성할 수 있도록 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.282-284
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• 2012

임베디드 분야에서 전력 에너지 소비 문제는 시스템을 설계하는데 있어서 매우 중요한 이슈가 되고 있다. 특히 휴대성이 강조되는 모바일 장치의 제한된 전력을 효율적으로 이용하기 위해서 하드웨어적인 관리 못지않게 소프트웨어적인 관리 기술의 필요성이 강조되고 있으며 전력 소비 관리를 위한 최적화된 컴파일러 기법이 연구되고 있다. 이 논문에서는 모바일 장치에서 구동되는 어플리케이션의 전력 에너지 소비를 줄이기 위한 전역 코드 스케줄링 기법을 제시한다. 이를 위해, 재목적 소프트웨어 개발 도구인 EXPRESSION의 컴파일러인 EXPRESS의 코드 최적화 기법을 이용하여 전력 에너지 효율적인 전역 코드 스케줄링 모델을 설계하고 성능평가 방법을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.57-64
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• 2016

In this paper, we propose the design of railway safety common data model to provide common transformation method for collecting data from railway facility fields to Real-time railway safety monitoring and control system. This common data model is divided into five abstract sub-models according to the characteristics of data such as 'StateInfoMessage', 'ControlMessage', 'RequestMessage', 'ResponseMessage' and 'ExtendedXXXMessage'. This kind of model structure allows diverse heterogeneous data acquisitions and its common conversion method to DDS (Data Distribution Service) format to share data to the sub-systems of Real-time railway safety monitoring and control system. This paper contains the design of common data model and its DDS Topic expression for DDS communication, and presents two kinds of data transformation case studied for verification of the model design.

• ETRI Journal
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• v.35 no.1
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• pp.162-165
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• 2013

Recently, a new method called the local polynomial periodogram-Hough transform (LHT) was proposed for linear frequency modulated (LFM) signal detection. In this letter, a closed-form expression of the output signal-to-noise ratio is derived for the LHT, showing that the method exhibits a threshold effect for LFM signal detection. Comparisons with the pseudo-Wigner-Hough transform (PWHT) show that the threshold of the LHT is lower (better) than that of the PWHT.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.231-234
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• 2001

This paper proposes a face recognition technique that effectively combines elastic graph matching (EGM) and Fisherface algorithm. EGM as one of dynamic lint architecture uses not only face-shape but also the gray information of image, and Fisherface algorithm as a class specific method is robust about variations such as lighting direction and facial expression. In the proposed face recognition adopting the above two methods, the linear projection per node of an image graph reduces dimensionality of labeled graph vector and provides a feature space to be used effectively for the classification. In comparison with a conventional method, the proposed approach could obtain satisfactory results in the perspectives of recognition rates and speeds. Especially, we could get maximum recognition rate of 99.3% by leaving-one-out method for the experiments with the Yale Face Databases.

• The Journal of the Acoustical Society of Korea
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• v.15 no.2E
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• pp.24-32
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• 1996

A rigorous theory for modeling, analysis, optimum nonseparable filter bank in multidimensional M-band quantized subband codec are developed in this paper. Each pdf-optimized quantizer is modeled by a nonlinear gain-plus-additive uncorrelated noise and embedded into the subband structure. We then decompose the analysis/synthesis filter banks into their polyphase components and shift the down-and up-samplers to the right and left of the analysis/synthesis polyphase matrices respectively. Focusing on the slow clock rate signal between the samplers, we derive the exact expression for the output mean square quantization error by using spatial-invariant analysis. We show that this error can be represented by two uncorrelated components : a distortion component due to the quantizer gain, and a random noise component due to fictitious uncorrelated noise at the uantizer. This mean square error is then minimized subject to perfect reconstruction (PR) constraints and the total bit allocation for the entire filter bank. The algorithm gives filter coefficients and subband bit allocations. Numerical design example for the optimum nonseparable orthonormal filter bank is given with a quincunx subsampling lattice.

• ETRI Journal
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• v.37 no.1
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• pp.11-20
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• 2015

This paper deals with optimal power allocation for channel estimation of orthogonal frequency-division multiplexing uplinks in time-varying channels. In the existing literature, the estimation of time-varying channel response in an uplink environment can be accomplished by estimating the corresponding channel parameters. Accordingly, the optimal power allocation studied in the literature has been in terms of minimizing the mean square error of the channel estimation. However, the final goal for channel estimation is to enable the application of coherent detection, which usually means high spectral efficiency. Therefore, it is more meaningful to optimize the power allocation in terms of capacity. In this paper, we investigate capacity with imperfect channel estimation. By exploiting the derived capacity expression, an optimal power allocation strategy is developed. With this developed power allocation strategy, improved performance can be observed, as demonstrated by the numerical results.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.37-43
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• 2018

In this paper, we propose a framework that automatically suggests emotion using emotion analysis method based on facial expression change. We use Microsoft's Emotion API to calculate and analyze emotion values in facial expressions to recognize emotions that change over time. In this step, we use standard deviations based on peak analysis to measure and classify emotional changes. The difference between the classified emotion and the normal emotion is calculated, and the difference is used to recognize the emotion abnormality. We match user's emotions to relatively relaxed emotions using histograms and emotional meshes. As a result, we provide relaxed emotions to users through images. The proposed framework helps users to recognize emotional changes easily and to train their emotions through emotional relaxation.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.14-19
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• 2001

This paper presents a new method of 3-D surface feature extraction using a quadratic pol expression. With a range image, we get an edge map through the modified scan line technique this edge map, we label a 3-dimensional object to divide object's region and extract cent corner points from it's region. Then we determine whether the segmented region is a planar or a curved from the quadric surface equation. we calculate the coefficients of the planar su the curved surface to represent regions. In this article. we prove performance of the metho synthetic and real (Odetics) range images.