• 전자공학회논문지
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• 제53권8호
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• pp.113-118
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• 2016

본 논문에서는 30 Hz의 프레임률로 동작하는 적외선 영상 투사기 (IR scene projector, IRSP)에서 투사되는 적외선 영상의 유효온도 감소를 최소화하기 위해 sub-frame 제어 기법을 적용한 IRSP용 신호입력회로 (read-in integrated circuit, RIIC)를 제안한다. 제안하는 sub-frame 제어 기법은 단위 프레임을 8개의 sub-frame으로 나누어 동일한 영상 데이터를 8회 refresh함으로써 픽셀 내 커패시터에 sampling된 영상 데이터가 유지 기간 동안 MOSFET 스위치를 통한 누설 전류로 인해 손실되는 정도를 감소시킨다. Emitter에서 투사되는 적외선 영상의 높은 유효온도를 위해 전류 구동형 RIIC를 설계하였으며, 외부의 DAC로부터 아날로그 전압 형태의 영상 데이터를 전송 받는다. 시제품 $64{\times}32$ RIIC array 칩은 매그나칩/SK하이닉스 $0.35{\mu}m$ 2-poly 4-metal CMOS 공정으로 제작되었으며, 출력 가능한 최대 데이터 전류는 $230.3{\mu}A$이다. 이를 $15k{\Omega}$의 저항 값을 갖는 시제품 emitter 소자에 인가할 시 mid-wavelength IR (MWIR) 대역을 기준으로 최대 $366.2^{\circ}C$의 유효온도를 갖는 적외선 영상의 투사가 가능하다.

• Structural Engineering and Mechanics
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• 제63권4호
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• pp.429-438
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• 2017

Structural design has an imperative role in deciding the failure possibility of a Reinforced Concrete (RC) structure. Recent research works achieved the goal of predicting the structural failure of the RC structure with the assistance of machine learning techniques. Previously, the Artificial Neural Network (ANN) has been trained supported by Particle Swarm Optimization (PSO) to classify RC structures with reasonable accuracy. Though, keeping in mind the sensitivity in predicting the structural failure, more accurate models are still absent in the context of Machine Learning. Since the efficiency of multi-objective optimization over single objective optimization techniques is well established. Thus, the motivation of the current work is to employ a Multi-objective Genetic Algorithm (MOGA) to train the Neural Network (NN) based model. In the present work, the NN has been trained with MOGA to minimize the Root Mean Squared Error (RMSE) and Maximum Error (ME) toward optimizing the weight vector of the NN. The model has been tested by using a dataset consisting of 150 RC structure buildings. The proposed NN-MOGA based model has been compared with Multi-layer perceptron-feed-forward network (MLP-FFN) and NN-PSO based models in terms of several performance metrics. Experimental results suggested that the NN-MOGA has outperformed other existing well known classifiers with a reasonable improvement over them. Meanwhile, the proposed NN-MOGA achieved the superior accuracy of 93.33% and F-measure of 94.44%, which is superior to the other classifiers in the present study.

• JSTS:Journal of Semiconductor Technology and Science
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• 제14권1호
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• pp.83-91
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• 2014

This paper presents a capacitive readout circuit for tri-axes microaccelerometer with sub-fF offset calibration capability. A charge sensitive amplifier (CSA) with correlated double sampling (CDS) and digital to equivalent capacitance converter (DECC) is proposed. The DECC is implemented using 10-bit DAC, charge transfer switches, and a charge-storing capacitor. The DECC circuit can realize the equivalent capacitance of sub-fF range with a smaller area and higher accuracy than previous offset cancelling circuit using series-connected capacitor arrays. The readout circuit and MEMS sensing element are integrated in a single package. The supply voltage and the current consumption of analog blocks are 3.3 V and $230{\mu}A$, respectively. The sensitivities of tri-axes are measured to be 3.87 mg/LSB, 3.87 mg/LSB and 3.90 mg/LSB, respectively. The offset calibration which is controlled by 10-bit DECC has a resolution of 12.4 LSB per step with high linearity. The noise levels of tri-axes are $349{\mu}g$/${\sqrt}$Hz, $341{\mu}g$/${\sqrt}$Hz and $411{\mu}g$/${\sqrt}$Hz, respectively.

• 한국정보통신학회논문지
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• 제12권4호
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• pp.691-698
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• 2008

본 논문은 상위 7-비트와 하위3-비트의 binary-thermal decoding 방식과 segmented 전류원 구조로서 전력소모, 선형성 및 글리치 에너지 등 주요 사양을 고려하여, 3.3V 10비트 CMOS D/A 변환기를 제안한다. 동적 성능을 향상 시키기위해 출력단에 return-to-zero 회로를 사용하였고, segmented 전류원 구조와 최적화 된 binary-thermal decoding 방식으로 D/A 변환기가 가질 수 있는 장점은 디코딩 논리 회로의 복잡성을 단순화함으로 칩면적을 줄일 수 있다. 제안된 변환기는 $0.35{\mu}m$ CMOS n-well 표준공정을 이용한다. 설계된 회로의 상승/하강시간, 정착시간, 및 INL/DNL은 각각 1.90/2.0ns, 12.79ns, ${\pm}2.5/{\pm}0.7\;LSB$로 나타난다. 또한 설계된 D/A 변환기는 3.3V의 공급전원에서는 250mW의 전력소모가 측정된다.

• 전력전자학회논문지
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• 제26권3호
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• pp.192-198
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• 2021

The battery's State of Health (SOH) is a critical parameter in the process of battery use, as it represents the Remaining Useful Life (RUL) of the battery. Electrochemical Impedance Spectroscopy (EIS) is a widely used technique in observing the state of the battery. The measured impedance at certain frequencies can be used to evaluate the state of the battery, as it is intimately tied to the underlying chemical reactions. In this work, a low-cost portable EIS instrument is developed on the basis of the ARM Cortex-M4 Microcontroller Unit (MCU) for measuring the impedance spectrum of Li-ion battery packs. The MCU uses a built-in DAC module to generate the sinusoidal sweep perturbation signal. Moreover, it performs the dual-channel acquisition of voltage and current signals, calculates impedance using a Digital Lock-in Amplifier (DLA), and transmits the result to a PC. By using LabVIEW, an interface was developed with the real-time display of the EIS information. The developed instrument was suitable for measuring the impedance spectrum of the battery pack up to 1000 V. The measurement frequency range of the instrument was from 1 hz to 1 Khz. Then, to prove the performance of the developed system, the impedance of a Samsung SM3 battery pack and a Bexel pouch module were measured and compared with those obtained by the commercial instrument.

• 방사성폐기물학회지
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• 제19권4호
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• pp.459-467
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• 2021

In the majority of countries, the upper limit of buffer temperature in a repository is set to below 100℃ due to the possible illitization. This smectite-to-illite transformation is expected to be detrimental to the swelling functions of the buffer. However, if the upper limit is increased while preventing illitization, the disposal density and cost-effectiveness for the repository will dramatically increase. Thus, understanding the characteristics and creating a database related to the buffer under the elevated temperature conditions is crucial. In this study, a strategy to investigate the bentonite found in Korea under the elevated temperatures from a mineral transformation and radionuclides retardation perspective was proposed. Certain long-term hydrothermal reactions generated the bentonite samples that were utilized for the investigation of their mineral transformation and radionuclide retardation characteristics. The bentonite samples are expected to be studied using in-situ synchrotron-based X-Ray Diffraction (XRD) technique to determine the smectite-to-illite transformation. Simultaneously, the 'high-temperature and high-pressure mineral alteration measurement system' based on the Diamond Anvil Cell (DAC) will control and provide the elevated temperature and pressure conditions during the measurements. The kinetic models, including the Huang and Cuadros model, are expected to predict the time and manner in which the illitization will become detrimental to the performance and safety of the repository. The sorption reactions planned for the bentonite samples to evaluate the effects on retardation will provide the information required to expand the current knowledge of repository optimization.

• 한국환경생태학회지
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• 제33권5호
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• pp.539-551
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• 2019

본 연구는 부산광역시 해안림 곰솔군락의 식생구조 및 생태적 특성을 파악하여 해안림의 식생구조를 파악하고 향후 부산광역시 해안림 관리방안을 위한 기초자료를 구축하고자 수행하였다. 부산광역시 해안림 지역에 $100m^2$ 크기의 조사구 97개를 설치하여 조사 분석하였다. TWINSPAN과 DAC기법을 사용하여 군락을 분리한 결과, 곰솔-졸참나무 군락, 곰솔-사스레피나무(1)군락, 곰솔-사스레피나무(2)군락, 곰솔-갈참나무군락, 곰솔-동백나무(1)군락, 곰솔-동백나무(2)군락, 곰솔-사스레피나무-동백나무군락으로 분리되었다. 조사결과 부산광역시 해안림 곰솔군락의 교목층에서는 곰솔이 주요 우점종으로 나타났으며, 하층식생에서 사스레피나무와 동백나무가 우점하였다. 곰솔-졸참나무군락에서 졸참나무가 일부 교목층과 아교목층에서 곰솔과 경쟁관계를 이루고 있으며 변화를 살피기 위해서는 지속적인 모니터링이 필요할 것이다. 해안림의 환경 특성상 곰솔을 비롯한 내염성이 강한 수종들이 군락을 이루고 있기 때문에 곰솔-졸참나무 군락을 제외한 군락들은 급격한 환경변화가 발생하지 않으면 현 상태의 군락 구조를 당분간 유지할 것으로 예상된다.