• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.45-48
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• 2001

립리딩은 잡음 환경 하에서 음성 인식 성능을 향상을 위해 영상정보를 이용한 바이모달(bimodal)음성인식으로 연구되었다[1][2]. 그 일환으로 이미 영상정보를 이용한 립리딩은 구현되었다. 그러나 현재까지의 시스템들은 환경의 변화에 강인하지 못하다. 본 논문에서는 이미지 기반 립리딩 방법을 적용하여 입술 영역을 보다 안정적으로 찾아 성능을 향상 시켰다. 그러나 이 방법은 많은 데이터량을 처리해야 하므로 전처리 과정이 필요하다. 전처리로 입력영상을 그레이 레벨로 변환하는 방법과, 입술을 반으로 접는 방법, 그리고 주성분 분석(PCA: Principal Component Analysis)을 사용하였다. 또한 인식성능 향상을 위해 음성에서 잡음 제거나 분석$\cdot$합성에 효과적인 성능을 보이는 RASTA(Relative Spectral)필터를 적용하여 시간 영역에서의 변화가 적은 성분이나 급변하는 성분, 그 밖의 잡음 등을 제거하였다. 그 결과 $72.7\%$의 높은 인식 성능을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.665-667
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• 1998

자동화 설계의 합성 과정 중에서 스케쥴링은 설계되는 하드웨어의 면적과 실행 시간을 결정하는 중요한 단계이다. 본 논문에서는 논문[8]의 방법으로 모든 연산의 배정 가능 범위를 축소하였으나 스케쥴링이 종료되지 않을 때 현재의 스케쥴링 상황을 매개변수로 표현하여 임의의 연산 배정 범위를 축소하기 위한 선택 함수를 제안한다. 제안한 방법에서는 배정 가능 범위가 가장 큰 연산의 ASAP 또는 ALAP중의 하나를 항상 선택하는데, 그러한 연산이 2개 이상인 경우에는 임의의 연산의 ASAP 또는 ALAP을 선택하여 축소하는 경우에 모든 연산의 배정 가능 범위의 변화량, 임의의 연산을 ASAP 또는 ALAP에 고정하였을 때 자원 제약과 그 연산의 종속성에 의한 다른 연산들의 이동 변화량, 그리고 각 파티션에 연산들의 배정을 균등하게 하는 정보를 사용하여 연산의 ASAP 또는 ALAP중에 하나를 선택한다. 이 알고리즘의 성능 평가는 5차 엘립틱 웨이브 필터를 벤치마크로 사용하였으며, 실험 결과는 모든 엘립틱 웨이브 필터에 대해 최적이었다.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.25 no.8
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• pp.525-531
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• 2015

Driving sound is an effective element to promote the product identity of a vehicle by providing customers with attractive sound which reflects the concept of a vehicle. Recently, major automakers are focusing on the target sound setting so that the sound can represent the brand image as well as the unique concept of a vehicle. In this study, a new method of target setting for the driving sound will be introduced based on using formant filter and musical harmonics characteristics. In addition, a target sound suggested from this method will be realized and verified by using active noise control in vehicle.

• Korean Journal of Optics and Photonics
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• v.22 no.1
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• pp.10-15
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• 2011

In this paper, we propose an auto-focusing algorithm which extracts a depth parameter by analyzing a selected part of a hologram, and we use experimental results to show that the algorithm is practical. First, we record a complex hologram using Optical Scanning Holography. Next we select some part of hologram and extract depth information through Gaussian low pass filtering, synthesizing a real-only hologram, power fringe-adjusted filtering and inverting to a new frequency axis. Finally, we reconstruct the hologram automatically using the extracted depth location.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.36D no.8
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• pp.36-44
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• 1999

This paper presents the design and fabrication of the duplexer for a Ka-band satellite transponder which is analyzed transmission characteristics by calculating the generalized scattering matrix using mode matching method. It is composed of 2 bandpass filters, coupled with H-plane T-junction having symmetrical inductive iris and E-plane metal insert structures. Compared with the size and weight of the Rx and Tx filter loaded with a transponders respectively, those of the duplexer can be effectively reduced. In a high power transmission, the variation of the filter characteristics is minimized by the scheme that irises are extended to the exterior of H-plane of the waveguide. This scheme needs no extra heat sinks for dissipating high power. The duplexer is designed to improve the simplification, durability and reliability by eliminating tuning screws, which have been used to compensate for the characteristics of fabricated filters. The bandpass filters of the duplexer show the insertion loss of less than 1.2 dB and the return loss in excess of 15 dB. The isolations of more than 65 dB have been achieved between Rx and Tx filter.

• Knowledge Management Research
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• v.21 no.3
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• pp.27-44
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• 2020

In order to solve the user's information overload problem, recommender systems infer users' preferences and suggest items that match them. The collaborative filtering (CF), the most successful recommendation algorithm, has been improving performance until recently and applied to various business domains. Visual information, such as book covers, could influence consumers' purchase decision making. However, CF-based recommender systems have rarely considered for visual information. In this study, we propose VizNCS, a CF-based deep learning model that uses visual information as additional information. VizNCS consists of two phases. In the first phase, we build convolutional neural networks (CNN) to extract visual features from image data. In the second phase, we supply the visual features to the NCF model that is known to easy to extend to other information among the deep learning-based recommendation systems. As the results of the performance comparison experiments, VizNCS showed higher performance than the vanilla NCF. We also conducted an additional experiment to see if the visual information affects differently depending on the product category. The result enables us to identify which categories were affected and which were not. We expect VizNCS to improve the recommender system performance and expand the recommender system's data source to visual information.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.9
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• pp.74-80
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• 2009

This paper describes a $2{\sim}6GHz$ CMOS frequency synthesizer that employs only one LC-tank voltage controlled oscillator (VCO). For wide-band operation, optimized LO signal generator is used. The LC-tank VCO oscillating in $6{\sim}8GHz$ provides the required LO frequency by dividing and mixing the VCO output clocks appropriately. The frequency synthesizer is based on a fractional-N phase locked loop (PLL) employing third-order 1-1-1 MASH type sigma-delta modulator. Implemented in a $0.18{\mu}m$ CMOS technology, the frequency synthesizer occupies the area of $0.92mm^2$ with of-chip loop filter and consumes 36mW from a 1.8V supply. The PLL is completed in less than $8{\mu}s$. The phase noise is -110dBC/Hz at 1MHz offset from the carrier.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.5
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• pp.232-242
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• 2005

This paper concerns automatic hardware synthesis from data flow graph (DFG) specification for fast HW/SW cosynthesis. A node in BFG represents a coarse grain block such as FIR and DCT and a port in a block may consume multiple data samples per invocation, which distinguishes our approach from behavioral synthesis and complicates the problem. In the presented design methodology, a dataflow graph with specified algorithm can be mapped to various hardware structures according to the resource allocation and schedule information. This simplifies the management of the area/performance tradeoff in hardware design and widens the design space of hardware implementation of a dataflow graph compared with the previous approaches. Through experiments with some examples, the usefulness of the proposed technique is demonstrated.

• Journal of IKEEE
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• v.26 no.4
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• pp.714-721
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• 2022

A phase-locked loop (PLL)-based frequency synthesizer is proposed for a system on a chip (SoC) using multi-frequency clock signals. The proposed PLL-based frequency synthesizer consists of a charge pump PLL which is implemented by a phase frequency detector (PFD), a charge pump (CP), a loop filter, a voltage controlled oscillator (VCO), and a frequency divider, and an edge combiner. The PLL outputs a 12-phase clock by a VCO using six differential delay cells. The edge combiner synthesizes the frequency of the output clock through edge combining and frequency division of the 12-phase output clock of the PLL. The proposed PLL-based frequency synthesizer is designed using a 55-nm CMOS process with a 1.2-V supply voltage. It outputs three clocks with frequencies of 166 MHz, 83 MHz and 124.5MHz for a reference clock with a frequency of 20.75 MHz.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.646-648
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• 2004

사용자의 실영상을 가상세계에 합성하여 보여주는 형태의 혼합현실(mixed reality) 기술에서 입력영상으로부터의 사용자 추출은 필수적인 단계이다 본 연구에서는 물체로부터 반사되는 적외선 점보를 이용하는 능동 적외선(Active Infrared) 기반 동적배경 제거 기법을 제안한다 이 기법에서는 대형 디스플레이 환경 내에 설치된 적외선 광원 및 적외선 투과 필터를 장착한 흑백카메라를 이용하여 획득된 적외선 반사 영상에 배경 제거 알고리즘을 적용함으로써 사용자 영역을 추출한다. 제안 기법을 이용하면 CAVE$^{TH}$ -like 시스템과 같이 정적배경을 보장하지 못하는 환경에서도 고가의 장비 없이 빠르고 정확하게 사용자를 추출할 수 있기 때문에 프로젝션 환경 내에 존재하는 사용자를 가상세계와 함께 합성하여 보여줄 수 있다.