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뉴럴 네트워크 방식의 벡터제어에 의한 유도전동기의 속도 제어
이동빈,유창완,홍대승,임화영,Lee, Dong-Bin,Ryu, Chang-Wan,Hong, Dae-Seung,Yim, Wha-Yeong 한국지능시스템학회 1999 한국지능시스템학회논문지 Vol.9 No.5
This paper presents a vector controlled induction motor is implemented by neural networks system compared with PI controller for the speed control. The design employed the training strategy with Neural Network Controller(NNC) and Neural Network Emulator(NNE) for speed. In order to update the weights of the controller First of all Emulator updates its parameters by identifying the motor input and output next it supplies the error path to the output stage of the controller using backpropagation algorithm, As Controller produces an adequate output to the system due to neural networks learning capability Vector controlled induction motor characteristics actual motor speed with based on neural network system follows the reference speed better than that of linear PI speed controller.
유럽인 자료로 산출된 양극성 장애 다유전자 위험 점수의 한국인 양극성 장애 환자에의 적용
최민준(Min Jun Choi),이동빈(Dong Bin Lee),조윤지(Yunji Cho),조은영(Eun Young Cho),홍경수(Kyung Sue Hong),백지현(Ji Hyun Baek) 대한신경정신의학회 2021 신경정신의학 Vol.60 No.3
Objectives This study examined whether the polygenic risk score (PRS) calculated from the most recent genome-wide association study for bipolar disorder (BD) of European ancestry patients is significantly associated with BD diagnosis in the Korean population. Methods The study included 417 Korean patients with BD and 497 healthy controls. Genotyping was performed using the Korean Biobank Array. Summary statistics of the European samples from the Psychiatric Genomic Consortium were used as base data to generate the PRS for each individual. The program PRSice-2 was used to calculate the PRS. Logistic regression was conducted to determine the association between BD diagnosis and PRS for BD after adjusting for age and sex. Results PRS for BD was significantly higher in patients diagnosed with BD compared to healthy controls. The PRS at the p-value threshold of 0.01 best explained the variance of BD after adjusting for age and sex (R2=0.0061, p=0.039). Subgroup analyses were performed for bipolar I and II subgroups. In bipolar I patients, the PRS at the p-value threshold of 0.01 best explained the diagnosis (R2=0.0165, p=0.0055), whereas no significant result was found for bipolar II patients. Conclusion PRS for BD calculated for the Korean sample showed a significant association with the BD diagnosis. This result suggests an overlapping genetic risk for BD between the European and Korean populations.