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Prediction and Measurement for Harmonics on the Test Track of Seoul-Pusan High-speed Railway
오광해(K.H. Oh),이장무(C.M. Lee),한문섭(M.S. Han),이기원(K.W. Lee),권삼영(K.S. Kwon),창상훈(S.H. Chang),김길상(K.S. Kim) 한국철도학회 2000 한국철도학회 학술발표대회논문집 Vol.- No.-
This paper proposes a new model for harmonic analysis in 2×25㎸ traction power supply system including inverted feeder, contact line, rails and auto-transformer. The system model is based on four-port representation which is an extension of two-port network theory. In order to verify the proposed approach, we have analysed and tested real traction power feeding system focused on the amplification of harmonic current. The calculation results from the proposed approach and the measurement data from the test are widely described in the paper.
오광일,김성은,배영환,박경환,권영수,Oh, K.I.,Kim, S.E.,Bae, Y.H.,Park, K.H.,Kwon, Y.S. 한국전자통신연구원 2020 전자통신동향분석 Vol.35 No.3
Neuromorphic hardware refers to brain-inspired computers or components that model an artificial neural network comprising densely connected parallel neurons and synapses. The major element in the widespread deployment of neural networks in embedded devices are efficient architecture for neuromorphic hardware with regard to performance, power consumption, and chip area. Spiking neural networks (SiNNs) are brain-inspired in which the communication among neurons is modeled in the form of spikes. Owing to brainlike operating modes, SNNs can be power efficient. However, issues still exist with research and actual application of SNNs. In this issue, we focus on the technology development cases and market trends of two typical tracks, which are listed above, from the point of view of artificial intelligence neuromorphic circuits and subsequently describe their future development prospects.