• 대한기계학회논문집B
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• 제37권6호
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• pp.539-544
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• 2013

본 연구는 공개 해석프로그램과 상용 최적화 프로그램을 연계하여 역열전도 문제를 해결하는 방법론을 제시하고 구현하였다. 이 해석 방법은 구동이 간단하며, 내부 코딩 없이도 구동이 가능하기 때문에 다른 연구자들도 쉽게 역열전도 문제를 재현할 수 있다.

• Current Optics and Photonics
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• 제2권4호
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• pp.308-314
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• 2018

Visible light communication (VLC) is considered a strong future candidate for indoor wireless communication. However, its performance seems to be relatively unsatisfactory when compared to wireless local area network (WLAN) communication using millimeter waves. To improve the performance of VLC, numerous technologies have been proposed so far, in both electrical and optical domains. Among the proposals, optical beamforming (OB) is an optical-domain technology that can concentrate light in a specific direction or on a target spot. It can significantly improve VLC performance and can be widely used, because it does not depend on electrical modulation schemes. Therefore, this review discusses the concept, principle, and types of OB, the structure of a VLC system using OB, performance results of OB, and the combination of OB with electrical signal modulation in VLC. OB is expected to be one of the key techniques in future VLC implementations, similar to radio-frequency beamforming in millimeter-wave communication.

• ETRI Journal
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• 제39권6호
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• pp.832-840
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• 2017

Recently, deep recurrent neural networks have achieved great success in various machine learning tasks, and have also been applied for sound event detection. The detection of temporally overlapping sound events in realistic environments is much more challenging than in monophonic detection problems. In this paper, we present an approach to improve the accuracy of polyphonic sound event detection in multichannel audio based on gated recurrent neural networks in combination with auditory spectral features. In the proposed method, human hearing perception-based spatial and spectral-domain noise-reduced harmonic features are extracted from multichannel audio and used as high-resolution spectral inputs to train gated recurrent neural networks. This provides a fast and stable convergence rate compared to long short-term memory recurrent neural networks. Our evaluation reveals that the proposed method outperforms the conventional approaches.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.515-516
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• 2006

A THz near-field microscope(THz NFM) is developed by a combination of THz time-domain spectroscopy and AFM(Atomic Force Microscopy). We have observed 80nm lateral resolution, demonstrating that the THz NFM technique has a great potential as a important probing tool for the analysis of the biological and semiconductor nanostructures.

• 한국생산제조학회지
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• 제5권4호
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• pp.47-52
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• 1996

The interpolator is very important in CNC machines. This study proposed a parametric curve interpolator(PCI) which can be used for machining any sculptured surface represented in a parametric form and generates commands for tool motion between CAD data points according to given accuracy demands. The proposed interpolator is superior to the existing linear interpolator in accuracy, feed rate and acceleration continuity. Moreover in comparison to the recently developed cubic spline interpolator, the PCI has the capability of handling higher order parametric curves and also ensures precise tracking in the velocity domain. Results from real time simulations and experiments on open architecture CNC machines equipped with the proposed interpolator are presented to show its practical capagility. It is believed that the combination of the proposed interpolator and the open architecture machine controller further advances the area of command generation which is an important aspect of CAD/CAM.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권6호
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• pp.446-452
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• 2004

Under the condition of a common narrowband target signal and interference signals from several directions, the linearly constrained minimum variance (LCMV) method using the generalized sidelobe canceller (GSC) for adaptive beamforming has been exploited successfully However, in the case of wideband signals, the length of the adaptive filter must be extended. As a result, the complexity of the beamformer increases, which makes real-time implementation difficult. In this paper, we improve the convergence characteristics of the adaptive filter using the transform domain normalized least mean square (NLMS) approach based on the subband GSC structure without the increase of complexity. Besides, the M-MAX algorithm, which is one of various selective coefficient updating methods, is employed in order to remarkably reduce the computational cost without decreasing the convergence quality. With the combination of these methods, we propose a computationally efficient wideband adaptive beamformer and verify its efficiency through a series of simulations.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제52권1호
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• pp.25-34
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• 2003

Gas insulated switchgear(GIS) is an important equipment in a substation. It is highly desirable to measure a partial discharge(PD) in GIS which is a symptom before insulation breakdown occurs. The issue is that the PD signal is weak and sensitive to external noise. In this paper, the algorithm for detection of PD in GIS using wavelet transform is proposed. The wavelet transform provides a direct quantitative measure of spectral content, "dynamic spectrum", in the time-frequency domain. The recommended mother wavelet is 'Daubechies' wavelet. 'db4', the most commonly applied mother wavelet in the power quality analysis, can be used most properly in disturbance phenomena which occurs rapidly for a short time. Through the procedure of wavelet transform, noise extraction and reconstruction, the signal is Analyzed to determine the magnitude of PD in GIS. In experimental results, we can know that partial discharge is exactly detected in combination of Dl and D2 using wavelet transform.transform.

• 전기학회논문지
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• 제60권4호
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• pp.817-822
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• 2011

We propose a novel ring structure based on the stadium-shaped ring resonator (SSRR) with dual photonic crystal microcavity (DPCM) for biosensor and analyzed the sensing characteristics. The Q-factor of the photonic crystal microcavity (PCM) can be significantly enhanced when the PCM or DPCM has the same resonance condition as the SSRR. The simulation results show that the Q-factor of the SRR with DPCM was increased by three times in comparison with single PCM structure. We also defined a mutual interference between two PCMs. Assuming a detectable spectral resolution of 10 picometers, a refractive index resolution of $3.03\times10-5$ can be measured on the SSRR-DPCM.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (A)
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• pp.17-21
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• 2006

도메인 기반 단백질 상호작용 예측 기법은 지난 몇 년 동안 활발히 연구되어 왔다. 도메인 기반 접근 방법 중에서도 도메인 조합 기반 단백질 상호작용 가능성 순위 부여 기법은 예측 정확도면에서 다른 기법보다 월등한 결과를 보여주고 있다. 그러나 학습 집단을 사용하는 특징 때문에 전체 도메인 정보를 이용할 수 없는 단점이 있다. 또한, 이 시스템은 도메인 정보가 부족하여 다른 기능을 하는 단백질이라도 같은 도메인 정보를 보여주기 때문에 예측 시스템의 결점을 드러내고 있다. 도메인 조합 기반 단백질 상호작용 가능성 순위 부여 기법은 InterPro 데이터베이스의 도메인 정보를 기반으로 사용한다. InterProScan은 InterPro의 여러 멤버 데이터베이스의 정보를 기반으로 Sequence 분석을 하는 소프트웨어로써 검색 후 단계에서 찾아낸 결과들을 e-value를 기반으로 여과한다. 본 논문에서는 제시된 e-value를 조정 방법을 사용함으로써 단백질 내 도메인 패턴의 다양화와 기존 도메인 정보가 없던 단백질의 도메인을 새롭게 발견할 수 있으나 접근 방식의 한계가 존재함을 확인할 수 있었다.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.991-1000
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• 2020

We propose a content-based image retrieval system that uses a combination of completed local binary pattern (CLBP) and color autocorrelogram. CLBP features are extracted on a multi-resolution multi-direction filtered domain of value component. Color autocorrelogram features are extracted in two dimensions of hue and saturation components. Experiment results revealed that the proposed method yields a lot of improvement when compared with the methods that use partial features employed in the proposed method. It is also superior to the conventional CLBP, the color autocorrelogram using R, G, and B components, and the multichannel decoded local binary pattern which is one of the latest methods.