https://scholar.dgist.ac.kr/handle/20.500.11750/6304 2026-04-04T19:43:17Z https://scholar.dgist.ac.kr/handle/20.500.11750/58824 Title: Hardware accelerator for performing computation of deep neural network and electronic device including same Author(s): 노석환; 궁재하; 구자현 Abstract: A hardware accelerator includes a processing core including a plurality of multipliers configured to perform one-dimensional (1D) sub-word parallelization between symbols and mantissas of a first tensor and symbols and mantissas of a second tensor, a first processing device configured to operate in a two-dimensional (2D) mode of operation in which the first tensor and the second tensor are coupled to each other, and a second processing device configured to operate in a two-dimensional (2D) mode of operation in which the first tensor and the second tensor are coupled to each other. And a second processing device configured to operate in a three-dimensional (3D) operation mode in which the calculation results of the plurality of multipliers are accumulated in a channel direction, and then a result of accumulating the calculation results is output. https://scholar.dgist.ac.kr/handle/20.500.11750/58353 Title: 신경망 모델에 기반하여 고주파 생체 신호를 복원하는 방법 및 장치 Author(s): 강홍기; 홍나리; 진경환; 이정협; 궁재하; 이재원 Abstract: 본 개시의 일 실시 예에 따른 고주파 생체 신호를 복원하는 방법은 프로세서에 의해, 제1 생체 신호를 로딩하는 단계 및 저주파 신호인 제1 생체 신호를 제1 신경망 모델에 기반하여 고주파 신호인 제2 생체 신호로 변환하는 단계를 포함할 수 있다. https://scholar.dgist.ac.kr/handle/20.500.11750/58352 Title: 완화된 프루닝을 통한 행렬 데이터 처리 방법 및 그 장치 Author(s): 궁재하; 박준기; 김재준