• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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• pp.293-297
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• 2009

In this thesis, design of a VCO(Voltage controlled Oscillator) with a novel tuning mechanism is presented for the Radar system. This circuit, the 9.5 GHz oscillator is designed and implemented by restructuring microstrip resonator to raise Q value and to require a wide frequency tuning range. This product is fabricated on 2.6 Teflon substrate and device is NE722S01. In this paper, The new microstrip resonator VCO is proposed to achieve the characteristic of a wide frequency tuning range. This microstrip resonator VCO shows the phase noise characteristic of -108.3 dBc/Hz at 1 MHz offset from the fundamental frequency, the output power of 5.7 dBm and the second harmonic suppression of -38 dBc for the VCO are obtained. The manufacture VCO shows a frequency tuning range of 193.8 MHz. The proposed micro trip resonator VCO can be used for X-band Radar System with required tuning range.

• 한국전자파학회논문지
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• 제10권2호
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• pp.187-195
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• 1999

스펙트럼 분석기의 2차 l$\infty$al oscillator(L이 신호인 3.2 GHz에서 동작하는 직렬 례환형 유전체 공진 발진기 를 설계 및 제작하였다. 트랜지스터의 소신호 산란계수를 이용하여 발진기를 설계하였으며, 유전체 공진기와 마이크로스트립 선로 사이의 결합계수로 인한 유전체 공진기의 반사계수를 조정하여 우수한 저잡음 특성을 얻었다. 제작된 유전체 공진 발진기의 측정 결과 출력전력은 10.50 dBm. 위상잡음은 10 kHz의 오프셋에서 -116 dBc/Hz. 고조파특성은 19.33 dBc를 얻었다.

• 한국음향학회지
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• 제24권4호
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• pp.224-229
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• 2005

본 논문에서는 부가잡음 환경에서의 강인한 음성인식을 위해 켑스트럼의 확률밀도 (pdf) 정규화 기법을 제안한다. 기존의 방법들은 켑스트럼의 평균 및 분산 등 주로 1, 2차 통계치 만을 정규화 하지만 제안한 방법은 깨끗한 음성과 잡음이 부가된 음성의 켑스트럼의 pdf를 동일하게 함으로써 켑스트럼의 통계치를 완벽하게 정규화 한다. 목표 pdf로는 다양한 확률분포를 고려하기 위하여 일반 (generalized) 가우시안 분포를 선택하였다. 또한 인식시 계산량을 감축하기 위하여 표 참조방법 (table lookup method)를 개발하였다. 화자독립 고립단어 인식 실험에서 제안된 기법이 기존 방법들보다 우수한 성능을 보였으며, 특히 잡음이 심한 환경에서 성능향상이 두드러졌다.

• 인터넷정보학회논문지
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• 제22권1호
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• pp.23-30
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• 2021

본 논문은 다수의 오토인코더 모델들을 이용한 잡음에 강인한 이미지 분류 시스템을 제안한다. 딥러닝 기술의 발달로 이미지 분류의 정확도는 점점 높아지고 있다. 하지만 입력 이미지가 잡음에 의해서 오염된 경우에는 이미지 분류 성능이 급격히 저하된다. 이미지에 첨가되는 잡음은 이미지의 생성 및 전송 과정에서 필연적으로 발생할 수밖에 없다. 따라서 실제 환경에서 이미지 분류기가 사용되기 위해서는 잡음에 대한 처리 및 대응이 반드시 필요하다. 한편 오토인코더는 입력값과 출력값이 유사하도록 학습되어지는 인공신경망 모델이다. 입력데이터가 학습데이터와 유사하다면 오토인코더의 출력데이터와 입력데이터 사이의 오차는 작을 것이다. 하지만 입력 데이터가 학습데이터와 유사성이 없다면 오토인코더의 출력데이터와 입력데이터 사이의 오차는 클 것이다. 제안하는 시스템은 오토인코더의 입력데이터와 출력데이터 사이의 관계를 이용한다. 제안하는 시스템의 이미지 분류 절차는 2단계로 구성된다. 1단계에서 분류 가능성이 가장 높은 클래스 2개를 선정하고 이들 클래스의 분류 가능성이 서로 유사하면 2단계에서 추가적인 분류 절차를 거친다. 제안하는 시스템의 성능 분석을 위해 가우시안 잡음으로 오염된 MNIST 데이터셋을 대상으로 분류 정확도를 실험하였다. 실험 결과 잡음 환경에서 제안하는 시스템이 CNN(Convolutional Neural Network) 기반의 분류 기법에 비해 높은 정확도를 나타냄을 확인하였다.

• 한국전자파학회논문지
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• 제13권7호
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• pp.613-624
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• 2002

본 논문에서는 Push-Push FET유전체 공진기 발진기를 20 GHz에서 설계, 제작하고 출력단에 각각 Wilkinson 전력결합기와 T 접합 전력결합기를 사용하였을 때의 각 결합기의 반사손실과 격리도 특성에 따른 발진기의 출력특성을 조사하여 이들 특성이 출력과 위상잡음 특성에 각각 영향을 주는 것을 설명한다. 기본 주파수 10 GHz를 억제하고 제 2고조파 주파수를 이용하는 20 GHz Push-Push발진기는 T $E_{01}$$\delta$/모드의 유전체 공진기와 GaAs MESFET를 높이 H = 20 mil($\varepsilon_{{\gamma}}$/=2.52) 테프론 기판 위에 장착하는 구조로 설계하고 제작하였다. 기본주파수에서 T-접합 전력결합기는 반사손실 -12 dB, 격리도 -3.7 dB 이었고, Wilkinson 전력결합기는 반사손실 -14 dB, 격리도 -11 dB 이었다. 그리고 제 2 고조파 주파수에서 T-접합 전력결합기는 반사손실 -10 dB, 격리도 -7.5 dB 이었고, Wilkinson 전력 결합기 는 반사손실 -23 dB, 격리도 -22 dB를 보였다. 결과적으로 반사손실과 격리도 특성이 좋은 Wilkinson 전력 결합기를 출력 단으로 이용한 Push-Push 발진기 가 출력전력레벨면이나 위상잡음특성면에서 T-접합 전력결합기를 이용한 발진기보다 우수한 특성을 보이는 것을 확인하였다.발진기보다 우수한 특성을 보이는 것을 확인하였다.

• 산업경영시스템학회지
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• 제31권1호
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• pp.74-82
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• 2008

The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound image of high resolution. As a result, efficiency of noise removal is not fine enough for low resolution image. Moreover, when ultrasound image has multiple tumors, the extraction of ROI (Region Of Interest) is not accomplished or processed by a manual selection. In this paper, our method is done 4 kinds of process for noises removal and the extraction of ROI for solving problems of restrictive automated segmentation. First process is that pixel value is acquired as matrix type. Second process is a image preprocessing phase that is aimed to maximize a contrast of image and prevent a leak of personal information. In next process, the heuristic noise filter that is based on opinion of medical specialist is applied to remove noises. The last process is to extract a tumor region by using morphology techniques. As a result, the noise is effectively eliminated in all images and a extraction of tumor regions is possible though one ultrasound image has several tumors.

• The Journal of the Acoustical Society of Korea
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• 제20권4E호
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• pp.52-60
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• 2001

This paper describes real time implementation of subband sound localization system on a floating-point DSP TI TMS320C31. The system determines two dimensional location of an active speaker in a closed room environment with real noise presents. The system consists of an two microphone array connected to TI DSP hosted by PC. The implemented sound localization algorithm is Subband CPSP which is an improved version of traditional CPSP (Cross-Power Spectrum Phase) method. The algorithm first split the input speech signal into arbitrary number of subband using subband filter banks and calculate the CPSP in each subband. It then averages out the CPSP results on each subband and compute a source location estimate. The proposed algorithm has an advantage over CPSP such that it minimize the overall estimation error in source location by limiting the specific band dominant noise to that subband. As a result, it makes possible to set up a robust real time sound localization system. For real time simulation, the input speech is captured using two microphone and digitized by the DSP at sampling rate 8192 hz, 16 bit/sample. The source location is then estimated at once per second to satisfy real-time computational constraints. The performance of the proposed system is confirmed by several real time simulation of the speech at a distance of 1m, 2m, 3m with various speech source locations and it shows over 5% accuracy improvement for the source location estimation.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권1호
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• pp.13-20
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• 2005

This paper addresses a new blind channel equalization method using fourth-order cumulants of channel inputs and a three-layer neural network equalizer. The proposed algorithm is robust with respect to the existence of heavy Gaussian noise in a channel and does not require the minimum-phase characteristic of the channel. The transmitted signals at the receiver are over-sampled to ensure the channel described by a full-column rank matrix. It changes a single-input/single-output (SISO) finite-impulse response (FIR) channel to a single-input/multi-output (SIMO) channel. Based on the properties of the fourth-order cumulants of the over-sampled channel inputs, the iterative algorithm is derived to estimate the deconvolution matrix which makes the overall transfer matrix transparent, i.e., it can be reduced to the identity matrix by simple recordering and scaling. By using this estimated deconvolution matrix, which is the inverse of the over-sampled unknown channel, a three-layer neural network equalizer is implemented at the receiver. In simulation studies, the stochastic version of the proposed algorithm is tested with three-ray multi-path channels for on-line operation, and its performance is compared with a method based on conventional second-order statistics. Relatively good results, withe fast convergence speed, are achieved, even when the transmitted symbols are significantly corrupted with Gaussian noise.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.540-545
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• 2001

In case of small motors, coil bundle occupies a large portion of stator in view of mass and volume as well as dynamics. It is observed through modal test on the stator of an IPM BLDC (interior permanent magnet brushless direct current) motor that coil bundle wound on the stator core causes the first and second natural frequencies to decrease by about 20-30% compared with those of bare stator. Especially the third natural frequency is newly observed below 3 KHz, which is not observed on the bare stator. It is found that at the third mode the end-coil and the core vibrate out of phase in radial direction. In this paper, the stator is dynamically modeled in terms of the core and the coil bundle consisting of the end-coil and the slot coil based on the above observations for the prediction of dynamic properties. The core can easily be modeled using finite element method with its actual material properties and geometric shape. The concept of equivalent bending stiffness is used for modeling of the end-coil so that predictions may match with the measured natural frequencies for the end-coil cut out of the stator. Although the same concept can be applied to the slot coil, separation of the slot coil from the stator is impractical. Therefore, equivalent bending stiffness of the slot coil is determined through iterative comparisons with the measurements of natural frequencies of the stator with the slot coil in it.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.643-648
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• 2003

The problem considered in this paper is that the tip position of a flexible cantilever beam is controlled to follow a command signal, using a pair of piezoelectric actuators at the clamped end. The beam is lightly damped and so the natural transient response is rather long, and also since the sensor and actuator are not collocated, the plant response is non-minimum phase. Two control strategies were investigated. The first involved conventional PID control in which the feedback gains were adjusted to give the fastest closed-loop response to a step input. The second control strategy was based on an internal model control (IMC) architecture. The control filter in the IMC controller was a digital FIR device designed to minimize the expectation of the mean square tracking error. The IMC controller designed fur the beam was found to have very much reduced settling times to a step input compared with those of the PID controller.