• 전자공학회논문지
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• 제53권9호
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• pp.54-61
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• 2016

본 논문에서는 6 Gbps 고속 double data rate(DDR) 인터페이스를 위한 기준 전압 발생기와 선형 등화기를 포함하는 단일 종단 수신기를 제안한다. 제안하는 단일 종단 수신기는 낮은 전압 레벨의 입력 신호에 대해 전압 이득을 증가시키기 위해 공통 게이트 증폭기를 사용한다. 저주파의 이득을 줄이고 고주파 피킹 이득을 발생시키는 연속 시간 선형 등화기가 공통 게이트 증폭기에서의 구현을 위해 제안된다. 또한, 공통 게이트 증폭기의 오프셋 노이즈를 줄임으로 전압이득을 극대화하기 위해 기준 전압 발생기가 구현된다. 제안하는 기준 전압 발생기는 디지털 평준화 기법에 의해 2.1 mV의 해상도로 제어된다. 제안된 단일 종단 수신기는 공급전압 1.2 V의 65 nm CMOS 공정에서 설계되었으며 6 Gbps의 동작속도에서 15 mW의 전력을 소모한다. 설계된 등화기는 저주파에서의 이득 대비 3 GHz 주파수에서의 피킹 이득을 5 dB 이상 증가시킨다.

• Asian-Australasian Journal of Animal Sciences
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• 제29권12호
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• pp.1756-1760
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• 2016

Estimation of feed intake (FI) for individual animals within a pen is needed in situations where more than one animal share a feeder during feeding trials. A partitioning method (PM) was previously published as a model to estimate the individual FI (IFI). Briefly, the IFI of a pig within the pen was calculated by partitioning IFI into IFI for maintenance ($IFI_m$) and IFI for growth. In the PM, $IFI_m$ is determined based on the metabolic body weight (BW), which is calculated using the coefficient of 106 and exponent of 0.75. Two simulation studies were conducted to test the hypothesis that the use of different coefficients and exponents for metabolic BW to calculate $IFI_m$ improves the accuracy of the estimates of IFI for pigs, and that PM is applied to pigs fed in group-housing systems. The accuracy of prediction represented by difference between actual and estimated IFI was compared using PM, ratio (RM), or averaging method (AM). In simulation studies 1 and 2, the PM estimated IFI better than the AM and RM during most of the periods (p<0.05). The use of 0.60 as the exponent and the coefficient of 197 to calculate metabolic BW did not improve the accuracy of the IFI estimates in both simulation studies 1 and 2. The results imply that the use of $197kcal{\times}kg\;BW^{0.60}$ as metabolizable energy for maintenance in PM does not improve the accuracy of IFI estimations compared with the use of $106kcal{\times}kg\;BW^{0.75}$ and that the PM estimates the IFI of pigs with greater accuracy compared with the averaging or ratio methods in group-housing systems.

• 한국전기전자재료학회논문지
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• 제20권1호
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• pp.65-73
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• 2007

Pattern classification of single and multiple discharge sources was applied using a wavelet image signal method in which a feature extraction was applied using a hidden sub-image. A feature extracting method that used vertical and horizontal images using an MSD method was applied to an averaging process for the scale of pulses for the phase. A feature extracting process for the preprocessing of the input of a neural network was performed using an inverse transformation of the horizontal, vertical, and diagonal sub-images. A back propagation algorithm in a neural network was used to classify defective signals. An algorithm for wavelet image processing was developed. In addition, the defective signal was classified using the extracted value that was quantified for the input of a neural network.

• 전자공학회논문지S
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• 제34S권12호
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• pp.60-69
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• 1997

We present an average method based on the multirate signal processing and dynamic allocation average for the purpose of monitoring event-related potentials(ERP) and continuously and dynamically. In the proposed method, first, latency shifts are detected through the cross correlation between a current response and the reference response. Then, the multirate signal processing which is composed of up-sampler, lowpass filter, and down sampler is performed to compensate the latency shifts of the reference response, therefore we obtain the reference response with a peak latencies compenated by those of a current response. Finally, the single response is obtained by averaging the compensated reference response and a current response. In the simulation, the results of quantitative evaluation by simulation and the results using linical data are presented. From the result, the proposed method reflects dynamic time-varying ERP more exactly than previous methods and is also effective in consecutive monitoring of ERP.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2001년도 춘계학술발표대회 논문집
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• pp.238-243
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• 2001

This paper predicted the thermal conductivity of spatially reinforced composites(SRC) by applying the volume averaging method and the thermal resistance method. The former method employs existing micro-mechanical theories and conventional transformation rules to constitute relations for the unit cells of the composites and the latter one uses the analogy between the diffusion of heat and electrical charge. To verify the theoretical prediction, the thermal conductivity of 4-D(dimensional) SRC was examined experimentally. The comparison of the numerical results with those measured by the experiment showed good agreement.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 하계학술대회 논문집
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• pp.508-511
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• 1991

In this paper, we have analyzed the transient and steady state characteristics of buck type DC-DC converter using the sliding mode control method based upon VSS. This control method provides the easier analysis tool due to the time domain analysis and the acquirement of desired transient characteristics if the slope of the switching line is properly selected, and guarantees the robustness against parameter uncertainties and load disturbances. Also, it can achieve direct nonlinear control without linearizing approximation of state space averaging method. PSPICE simulation results are then presented verifying these concepts.

• Journal of Mechanical Science and Technology
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• 제14권6호
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• pp.622-632
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• 2000

In a high precision vertical machining center, the estimation of cutting forces is important for many reasons such as prediction of chatter vibration, surface roughness and so on. The cutting forces are difficult to predict because they are very complex and time variant. In order to predict the cutting forces of end-milling processes for various cutting conditions, their mathematical model is important and the model is based on chip load, cutting geometry, and the relationship between cutting forces and chip loads. Specific cutting force coefficients of the model have been obtained as interpolation function types by averaging forces of cutting tests. In this paper the coefficients are obtained by neural network and the results of the conventional method and those of the proposed method are compared. The results show that the neural network method gives more correct values than the function type and that in the learning stage as the omitted number of experimental data increase the average errors increase as well.

• 한국주거학회논문집
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• 제13권4호
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• pp.27-33
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• 2002

In Gumi area, the heating and cooling loads for underground building could have not been correctly evaluated since there were no systems accurate underground temperature. For solving this problem two ways of predicting the underground temperature were propose. Firstly, it is to estimate the underground temperature of Gumi area by averaging out the underground temperature of the areas around Gumi city. However, the underground temperature data of the areas around Gumi city was only limited to 0.5m and 1.0m under the ground. Secondly, it is to calculate the underground temperature of Gumi area by using a periodic equation with variable about underground properties. Among these methods, the method of the average date was more correct, but the method of the variable date was more available.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.216-218
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• 2009

This paper proposes an image processing algorithm to stabilize shaken scenes of UAV(Unmanned Aerial Vehicle) caused by vehicle self-vibration and aerodynamic disturbance. The proposed method stabilizes images by compensating estimated shake motion which is evaluated from global motion. The global motion between two continuous images modeled by 6 parameter warping model is estimated by non-linear square method based on Gauss-Newton algorithm with excluding outlier region. The shake motion is evaluated by subtracting the global motion from aerial vehicle motion obtained by averaging global motion. Experimental results show that the proposed method stabilize shaken scenes effectively.

• Composites Research
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• 제14권3호
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• pp.57-68
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• 2001

본 연구에서는 체적평균 개념과 열저항 개념을 적용하여 공간적으로 보강된 복합재료의 열전도계수를 예측하였다. 체적평균 개념을 적용한 방법은 기존의 미소기계적 이론들과 좌표변환관계를 이용하고, 열저항 개념을 적용한 방법은 열과 전자의 확산에 대한 유사성을 이용하여 SRC의 단위구조의 열전도계수에 대한 구성방정식을 얻었다. 이론적 예측을 검증하기 위해 4-D SRC에 대해 실험을 수행하였으며, 예측결과와 실험결과가 잘 일치함을 보였다.