27 citations
13 papers
basic_RV32s: An Open-Source Microarchitectural Roadmap for RISC-V RV32I
Hyun Woo Kang, Ji Woong Choi
This paper introduces BASIC_RV32s, an open-source framework providing a practical microarchitectural roadmap for the RISC-V RV32I architecture, addressing the gap between theoretic…
Relativistic BGK model for reactive gas mixtures
Seung-Yeon Cho, Byung-Hoon Hwang, Myeong-Su Lee +1
We propose a BGK-type kinetic model for relativistic reactive gas mixtures. This model serves as a computationally tractable yet physically consistent alternative to the correspond…
From kinetic mixtures to compressible two-phase flow: A BGK-type model and rigorous derivation
Seung Yeon Cho, Young-Pil Choi, Byung-Hoon Hwang +1
We propose a BGK-type kinetic model for a binary gas mixture, designed to serve as a kinetic formulation of compressible two-phase fluid dynamics. The model features species-depend…
Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning
Kennedy Edemacu, Beakcheol Jang, Jong Wook Kim
Multi-party machine learning is a paradigm in which multiple participants collaboratively train a machine learning model to achieve a common learning objective without sharing thei…
Multi-Attention Based Ultra Lightweight Image Super-Resolution
Abdul Muqeet, Jiwon Hwang, Subin Yang +3
Lightweight image super-resolution (SR) networks have the utmost significance for real-world applications. There are several deep learning based SR methods with remarkable performa…
Successive Point-of-Interest Recommendation with Local Differential Privacy
Jong Seon Kim, Jong Wook Kim, Yon Dohn Chung
A point-of-interest (POI) recommendation system performs an important role in location-based services because it can help people to explore new locations and promote advertisers to…