• 한국광학회:학술대회논문집
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• 한국광학회 2008년도 동계학술발표회 논문집
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• pp.85-86
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• 2008

• 한국광학회:학술대회논문집
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• 한국광학회 2008년도 동계학술발표회 논문집
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• pp.213-214
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• 2008

• 한국광학회:학술대회논문집
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• 한국광학회 2008년도 하계학술발표회 논문집
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• pp.231-232
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• 2008

• 한국광학회:학술대회논문집
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• 한국광학회 2006년도 하계학술발표회 논문집
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• pp.377-378
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• 2006

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제52권12호
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• pp.568-572
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• 2003

A longitudinal discharge heated copper vapor laser with internal diameter 28 mm and discharge length 1.3 m has been constructed and tested. At the discharging voltage 15.2 kV, pulse repetition rate 10 kHz, buffer gas pressure 40 mbar, and internal temperature of the laser plasma tube $1520^{\circ}C$, it delivers more than 30 W average laser outputs.

• 한국광학회:학술대회논문집
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• 한국광학회 1989년도 제4회 파동 및 레이저 학술발표회 4th Conference on Waves and lasers 논문집 - 한국광학회
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• pp.107-112
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• 1989

We observe experimentally self-pulsing, subharmonic generation, spectral bistability, and chaos in a stable laser diode with delayed optoelectronic feed-back. The laser diode emits 200 ps optical pulses with 1.1 GHz repetition rate in the self-pulsing region. The bistable region critically depends on the closed loop gain of the system. We also explain observed experimental result.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2020년도 추계학술대회
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• pp.241-243
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• 2020

The high computational complexity of deep learning algorithms has led to the development of specialized hardware architectures. However, soft errors (bit flip) may occur in these hardware systems due to voltage variation and high energy particles. Many error correction methods have been proposed to counter this problem. In this work, we analyze an error correction mechanism based on repetition codes and an activation function. We test this method by injecting errors into weight filters and define an ideal error rate range in which the proposed method complements the accuracy of the model in the presence of error.

• 한국정보통신학회논문지
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• 제6권8호
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• pp.1234-1240
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• 2002

본 논문에서는 Nakagami 페이딩 채널 특성의 이동 통신 환경에서 정보 데이터를 PN 시퀀스로 대역 확산시켜 BPSK 변조를 취한 CDMA 시스템에 MRC 다이버시티와 반복 전송(다수결 선택)이나 부호화 기법을 다양하게 결합하였을 때의 블록 오율 성능 향상에 대하여 분석한다. 분석 결과로써, 부호화는 다이버시티 기법보다 더 효과적인 성능 향상을 보였다. 그러나 부호화는 더 넓은 주파수 대역을 필요로 하게 된다. 또한 MRC 다이버시티와 부호화 기법을 결합하였을 때 성능 개선이 크게 향상되었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 C
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• pp.2104-2106
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• 2000

For general laser power supply. output of the secondary of the power transformer is connected to the rectifier and filter capacitor. The output of a rectifier is applied to a switching element in the secondary of the transformer. So, power supply is complicated and the loss of switching is considerably. In addition, according to increasing pulse repetition. charged energy of energy storage capacitor is not transferred sufficiently to flashlamp. and laser output efficiency decreases. In this paper, to improve laser efficiency. we designed and fabricated the power supply in which the SCR was turned on in zero point by the method of ZCC(zero crossing control)in result, laser output efficiency in creased by about 3.5% other than conventional supply. when a repetition rate was increased by 10[pps]. In 60[pps]. efficiency was about 20%.

• 전기학회논문지
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• 제58권11호
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• pp.2275-2280
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• 2009

u-Healthcare service is one of attractive applications in ubiquitous environment. In this paper, we propose a method to recognize exercises using a new accelerometer based body-attached platform for supporting u-Healthcare service. The platform consists of a device for measuring accelerometer data and a device for receiving the data. The former measures a user's motion data using a 3-axis accelerometer. The latter transmits the accelerometer data to a computer for recognizing the user's exercise. The algorithm for exercise recognition classifies the type of exercise using principle components analysis(PCA) from the accelerometer data transformed by discrete fourier transform(DFT), and estimates the repetition count of the recognized exercise using a peak detection algorithm. We evaluate the performance of the algorithm from the accuracy of the recognition of exercise type and the error rate of the estimation of repetition count. In our experimental result, the algorithm shows the accuracy about 98%.