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송승호 ( Seungho Song ),김지훈 ( Jeehoon Kim ),김영훈 ( Yong-hoon Kim ) 한국전기전자재료학회 2022 전기전자재료학회논문지 Vol.35 No.3
Artificial neuromorphic devices are considered the key component in realizing energy-efficient and brain-inspired computing systems. For the artificial neuromorphic devices, various material candidates and device architectures have been reported, including two-dimensional materials, metal-oxide semiconductors, organic semiconductors, and halide perovskite materials. In addition to conventional electrical neuromorphic devices, optoelectronic neuromorphic devices, which operate under a light stimulus, have received significant interest due to their potential advantages such as low power consumption, parallel processing, and high bandwidth. This article reviews the recent progress in optoelectronic neuromorphic devices using various active materials such as two-dimensional materials, metal-oxide semiconductors, organic semiconductors, and halide perovskites
알츠하이머 질환에서 뉴럴네트워크와 비음수 행렬 분해로 추출한 PET아밀로이드 침착패턴 비교 분석
최명원(Myungwon Choi),정병창(ByeongChang Jeong),김지훈(Jeehoon Kim),노민규(Mingyu No),윤현철(HyunChul Yoon),정현강(Hyun-Ghang Jeong),한철(Cheol E. Han) 대한전자공학회 2019 대한전자공학회 학술대회 Vol.2019 No.6
The deposition of amyloid β protein is a hallmark of the Alzheimer’s disease, which may lead neuronal cell death, resulting in cognitive deficit. In this study, using the non-negative matrix factorization (NMF) and artificial neural network (ANN) with non-negative weight constraints, we extracted regional patterns of the amyloid deposition in the spectrum of the Alzheimer’s disease. They are also quite consistent with the group comparison results of regional amyloid deposition pattern. By comparing them, we investigated how the patterns of regional amyloid deposition can be used as biomarkers for classification of the amyloid positive patients.
유한요소해석을 활용한 엔진 콘로드 볼트의 피로내구 평가 절차 정립
장훈(Hoon Chang),조성산(Sung-San Cho),이경우(Kyungwoo Lee),김지훈(Jeehoon Kim) 한국자동차공학회 2007 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Fatigue durability assessment of some critical engine bolts including connecting-rod bolts has been increasingly emphasized in association with determination of optimal bolt preload at the early stage of engine development because fatigue failure of engine connecting-rod bolt has frequently occurred in developing high power and light weight engines. In addition, the finite element analysis technique has been an important tool to assess the engine performance and durability. In accordance with state-of-the art engine design technology, a methodology to assess fatigue durability of engine connecting-rod bolts using a new finite element analysis procedure with a new bolt fatigue test method has been developed. An assessment procedure of bolt fatigue durability including a method to extract the critical bolt stresses from a simple-shaped finite element bolt model and a method to utilize the bolt fatigue endurance limit is discussed. Reliability of the methodology is verified indirectly.