• 한국정밀공학회지
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• 제26권12호
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• pp.41-46
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• 2009

• 한국전자파학회논문지
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• 제18권4호
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• pp.379-388
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• 2007

본 논문에서는 사람의 생체 신호를 감지하기 위해 1.6 GHz 단일 채널 도플러 센서와 아날로그 및 디지털 신호 처리부로 구성되어 있는 실시간 호흡 및 심장 박동 감지기를 개발하였다. 도플러 센서의 RF Front End는 발진기, 믹서, 저잡음 증폭기, 브랜치-라인 하이브리드, 그리고 패치 안테나로 구성되어 있다. 센서에 사용된 브랜치-라인 하이브리드는 기존의 하이브리드에 비해 40 % 정도 크기를 줄이면서도 상당히 유사한 성능을 가지도록 인공 전송 선로(artificial transmission line)를 사용하였다. 아날로그 신호처리부는 2차 Sallen-Key 능동 필터를 사용하여 제작되었고 디지털 신호 처리부는 LabVIEW를 사용하여 컴퓨터상에서 구현되었다. 개발된 시스템은 최대 50 cm 거리에서 사람의 호흡과 심장 박동을 측정함으로써 성능을 검증하였다.

• 융합신호처리학회논문지
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• 제8권2호
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• pp.106-112
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• 2007

본 논문은 순환 행렬 분해에 의한 DCT와 DFT의 고속 계산을 위한 하이브리드 아키텍쳐 알고리듬을 제안한다. DCT-II와 DFT 변환 행렬의 순환 분해는 알고리듬적으로 구현하기가 유사한 구조를 제공하며 이것은 단순히 스위칭 모드의 제어에 의해 공통 아키텍쳐를 사용할 수 있게 한다. 두 변환간의 연계는 행렬 순환 공식에 기초하여 유도되었다. DCT/DFT 행렬 분해를 위한 하이브리드 구조 설계를 가능하도록 생성 행렬, 삼각함수 항등식 과 관계식을 사용하여 유도되었다. DCT/DFT 하이브리드 아키텍쳐를 수용하는 쿨리-투키 유형의 고속처리 아키텍쳐에 대한 데이터 흐름도를 작성하였다. 이 데이터 흐름도로부터 적절한 크기의 N에 대해 제안한 알고리듬의 계산 복잡도는 기존의 고속 DCT 알고리듬과 비교할만하다. 다른 직교변환 계산에 FFT 구조의 다중 모드 사용 확장을 위해 좀더 확장된 연구가 필요하다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.1059-1062
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• 2005

A hybrid ad-hoc network consists of a wired network and a mobile ad-hoc network connected by the internet gateway. To provide seamless service for internet user in hybrid ad-hoc network, an efficient internet gateway selection technique and a fast handover technique are needed. In this paper, we propose a seamless handoff technique for providing mobility of mobile hosts in hybrid ad-hoc networks. The proposed technique improves general handoff performance by an internet gateway re-registration algorithm for ad-hoc networks. Moreover, it reduces handoff processing time in the range of certain region by using mobility management agent (MMA) and also the packet loss when handoff occurs out of the range of MMA by tunneling technique.

• 대한임베디드공학회논문지
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• 제12권6호
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• pp.395-403
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• 2017

Image processing for object detection and identification has been studied for supply chain management application with various approaches. Among them, feature pointed detection algorithm is used to track an object or to recognize a position in automated supply chain systems and a depth image based feature point detection is recently highlighted in the application. The result of feature point detection is easily influenced by image noise. Also, the depth image has noise itself and it also affects to the accuracy of the detection results. In order to solve these problems, we propose a novel hybrid filtering mechanism for depth image based feature point detection, it shows better performance compared with conventional hybrid filtering mechanism.

• IEIE Transactions on Smart Processing and Computing
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• 제4권3호
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• pp.158-162
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• 2015

A low phase noise CMOS voltage controlled oscillator(VCO) for multi-band/multi-standard RF Transceivers is presented. For both wide tunability and low phase noise characteristics, Hybrid inductor which uses both bondwire inductor and planar spiral inductor in the same area, is proposed. This approach reduces inductance variation and presents high quality factor without custom-designed single-turn inductor occupying large area, which improves phase noise and tuning range characteristics without additional area loss. An LC VCO is designed in a 0.13um CMOS technology to demonstrate the hybrid inductor concept. The measured phase noise is -121dBc/Hz at 400KHz offset and -142dBc/Hz at 3MHz offset from a 900MHz carrier frequency after divider. The tuning range of about 28%(3.15 to 4.18GHz) is measured. The VCO consumes 7.5mA from 1.3V supply and meets the requirements for GSM/EDGE and WCDMA standard.

• Journal of the Korean Data and Information Science Society
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• 제17권2호
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• pp.569-579
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• 2006

Recently, the amount of genome sequence is increasing rapidly due to advanced computational techniques and experimental tools in the biological area. Sequence comparisons are very useful operations to predict the functions of the genes or proteins. However, it takes too much time to compare long sequence data and there are many research results for fast sequence comparisons. In this paper, we propose a hybrid grid system to improve the performance of the sequence comparisons based on the LanLinux system. Compared with conventional approaches, hybrid grid is easy to construct, maintain, and manage because there is no need to install SWs for every node. As a real experiment, we constructed an orthologous database for 89 prokaryotes just in a week under hybrid grid; note that it requires 33 weeks on a single computer.

• 한국기계가공학회지
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• 제15권3호
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• pp.86-92
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• 2016

Mechanical milling, in association with electrical discharge machining (EDM) for hybrid machining, is presented in this paper. An end mill cutting tool, an electrode of the EDM, was used for the system. That means that some parts were cut by the mechanical cutting process and others by the EDM. The possibility of combining both processes was simulated with the cutting simulation software. In addition, the machining reality was verified by measuring the electrical signal from the EDM power supply, which was measured in time and frequency domains. From this initial research, the hybrid machining system proposed in this paper appears to be well suited for difficult to cut material processing.

• 한국항행학회논문지
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• 제7권2호
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• pp.156-161
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• 2003

본 연구에서는 저가형 GPS 수신기와 자이로 및 속도계를 결합한 혼합항법시스템을 개발하여 그 정확도를 실험하였다. 본 혼합항법시스템에서는 기존의 강결합 방식이나 연결합 방식과 달리 변형된 결합방식을 채택하여 GPS 수신기나 자이로 혹은 속도계를 자유롭게 선택할 수 있도록 하였다. 실험 결과, 본 혼합항법시스템은 기존의 항법시스템보다 정확도가 향상되었으며 다중경로오차를 상당히 제거할 수 있음이 밝혀졌다. 또한 본 항법시스템은 후처리 지리정보자료획득의 측면에서 유리한 것으로 나타났다.

• IEIE Transactions on Smart Processing and Computing
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• 제3권4호
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• pp.234-239
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• 2014

This paper presents an empirical study on selecting a small amount of useful unlabeled data to improve the classification accuracy of semi-supervised learning algorithms. In particular, a hybrid method of unifying the simply recycled selection method and the incrementally-reinforced selection method was considered and evaluated empirically. The experimental results, which were obtained from well-known benchmark data sets using semi-supervised support vector machines, demonstrated that the hybrid method works better than the traditional ones in terms of the classification accuracy.