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디지털 능동배열레이다의 빔형성을 위한 고정소수점 기반 빔형성 계수 연산기 설계 및 성능 분석
양태원,배찬희,강성모,이재용 한국전자파학회 2023 한국전자파학회논문지 Vol.34 No.12
본 논문에서는 디지털 능동배열레이다의 빔형성을 위한 고정소수점 기반 빔형성 계수 연산기를 제안한다. 부동소수점기반 연산은 정밀한 연산이 가능하나, 연산 복잡도와 레이턴시가 높은 단점이 있다. 이를 보완하기 위하여 제안된 고정소수점 기반 빔형성 계수 연산은 부동소수점 기반 연산과 비교하였을 때, 최종 결과값의 SQNR(signal to quantization noise ratio)이 51.35 dB으로 높은 수치를 가지고 빔 조향 각도의 오차는 −0.05°∼0.05° 사이로 시스템 요구사항을 만족함을확인하였다. 제안된 고정소수점 기반 빔형성 계수 연산기는 Xilinx Kintex UltraScale FPGA에 구현되었으며, 부동소수점기반 연산기 대비 CLB(configurable logic block) register를 54.94 %, CLB LUT(look-up table)를 44.33 %, DSP(digital signal processing) slice를 60 % 적게 사용하며, 레이턴시를 −58.16 % 감소시킴을 확인하였다. 또한 작은 빔 패턴 파워에서도이전 연구 대비 연산기의 성능 열화가 적음을 확인하였다. In this study, a fixed-point-based beamforming coefficient calculator is proposed for the beamforming of a digital active array radar. Floating-point-based calculations enable precise calculations but have the disadvantages of high computational complexity and latency. To complement this, the proposed fixed-point-based beamforming coefficient calculation had a high signal to quantization noise ratio (SQNR) of 51.35 dB and the beam steering angle error was between −0.05° and 0.05° when compared with those of the floating-point calculation; these satisfied the system requirements. The proposed fixed-point-based beamforming coefficient calculator was implemented on a Xilinx Kintex UltraScale FPGA. It could reduce 54.94 % CLB register, 44.33 % CLB LUT, 60 % DSP slice, and −58.16 % latency than the floating-point calculator. Furthermore, at small beam pattern powers, the performance degradation of the calculator was less compared with previous research.
잠복신발현난치뇌전증지속상태에서 발작이 조절된 후에 투여한 리툭시맙에 의한 의식 회복
양태원,조정원,김도형,김영수,권오영 대한신경집중치료학회 2018 대한신경집중치료학회지 Vol.11 No.2
Background: New-onset refractory status epilepticus (NORSE) occurs in people without a history of seizures. In these cases, the seizure causes are unclear, and the seizures are not controlled by standard treatment. Autoimmune encephalitis (AIE) can be a cause of NORSE. Cryptogenic NORSE may be associated with AIE, but antibodies associated with the condition have not yet been identified. Primary immunotherapy may not be effective for AIE. Rituximab has improved the prognosis in some cases. Case Report: We treated a cryptogenic NORSE patient with a combination of antiepileptic drugs and immunotherapy. On the 13th hospital day, the seizures were controlled, but the patient remained in a coma. The patient rapidly recovered after administration of rituximab started on the 26th hospital day. Conclusions: Rituximab may be helpful for cryptogenic NORSE patients in whom primary immunotherapy controls seizures, but fails to improve consciousness.
EfficientNetV2를 활용한 차량 번호판 비식별화 시스템 개발
양태원,나건열 한국CDE학회 2023 한국CDE학회 논문집 Vol.28 No.4
In vehicular data, license plates inherently contain personally identifiable information, prompting escalating privacy concerns. Nonetheless, recognizing these plates is vital for applications like traffic surveillance and automated toll collection. With advanced deep learning paradigms, notably convolutional neural networks, license plate recognition has achieved remarkable precision, outperforming traditional optical character recognition. In this study, the authors present a methodology for identifying license plates from comprehensive vehicle images and replacing them with synthesized versions using advanced image processing and deep learning. A dataset of 1,217 vehicle images, representing 11 license plate categories, was curated. Using this dataset, license plate images, after object detection, undergo a sequential process integrating a plate region delineation model and a plate classification model. Synthesized license plates, derived from the model's output, are then overlaid onto the original vehicle images. This methodology results in a license plate alteration system compatible with 11 diverse plate categories.
Uncommon coexistence of myasthenia gravis and amyotrophic lateral sclerosis
조은빈,양태원,정희정,Changhyo Yoon,정승욱,박기종 대한임상신경생리학회 2019 Annals of Clinical Neurophysiology Vol.21 No.2
Myasthenia gravis (MG) and amyotrophic lateral sclerosis (ALS) are distinct disorders. ALS affects motor neurons that control muscle movement, while MG controls communication between neurons and muscles, which occurs at neuromuscular junctions. However, on rare occasions, ALS develops after MG and vice versa. The coexistence of the two diseases represents a diagnostic challenge and requires thoughtful interpretation of clinical features. We present the case of a 53-year-old Korean male who developed ALS after MG, confirmed by clinical and electrophysiological follow-up.
고차 큐뮬런트를 이용한 FIR 시스템의 회귀 추정 알고리듬
김형일,양태원,전범기,성굉모,Kim, Hyoung-Ill,Yang, Tae-Won,Jeon, Bum-Ki,Sung, Koeng-Mo 한국음향학회 1997 韓國音響學會誌 Vol.16 No.3
본 논문에서는 3차와 4와의 큐뮬런트를 이용하여 FIR 시스템의 파라메터 추정을 위한 회귀 추정 알고리듬을 제안한다. 제안한 FIR 파라메터 회귀 추정 알고리듬에서 3차와 4차의 큐뮬런트 관계식으로부터 Overdetermined Recurisive Instrumental Variable (ORIV) 형태의 회귀 추정 알고리듬으로 변환할 수 있도록 출력신호로 구성된 행렬식을 얻어낸 후, 이를 전개하여 회귀 추정 알고리듬을 개발한다. 제안한 회귀 추정 알고리듬은 기존의 비회귀 알고리듬의 확장으로 적은 데이터로 수렴이 가능하며, 시변 시스템의 추정에도 용이하다. 또한 3차와 4차의 순수 고차 큐뮬런트로 구성됨에 따라 기존의 2차의 자기상관함수를 이용한 회귀 추정 알고리듬에 비해 가산 가우시안 잡음에 의한 추정 오차를 줄일 수 있는 장점이 있다. In this paper, a recursive estimation algorithm for FIR systems is proposed using the 3rd and 4th order cumulants. To obtain the Overdetermined Recursive Instrumental Variable(ORIV) method type algorithm, we transform the 3'th and 4'th order cumulant relationship to a certain matrix form which is consist of only output data. From the matrix form, we induce the proposed algorithm procedure following the ORIV method. The proposed algorithm provides improved estimation accuracy with smaller data and can be applied to a time varying system as well. In addition, it reduces the estimation error due to the additive Gaussian noise compared to conventional 2'rd order based algorithms since it only uses higher than 2'rd order cumulant. Simulation results are presented to compare the performance with other HOS-based algorithms.