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BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification

1. 연구 배경 및 동기 IoT와 MTS 데이터 폭증 : 센서 네트워크, 스마트 팩토리 등에서 실시간으로 다변량 시계열이 생성돼 엣지 디바이스에서 빠른 분류가 필수. HD 컴퓨팅의 장점 : 초고차원 이진 벡터를 이용해 연산이 간단하고 하드웨어 친화적이며, 메모리 대역폭 요구가 낮음. 트랜스포머의 한계 : 셀프‑어텐션은 복잡한 시계열 패턴을 잘 포착하지만, Q·K·V 매트릭스 연산과 정규화 과정이 비용이 크다. 2. 핵심 아이디어 – BiHDTrans | 요소 | 기존 접근 | BiHDTrans에서의 구현 | | | | | | 표현

BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification

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