Zobrazeno 1 - 10
of 26 600
pro vyhledávání: '"Yi, Ting"'
Autor:
Sun, Yi-Ting, Lee, Hsin-Chieh, Yu, Yun-Chen, Wu, Ting-Feng, Althamary, Ibrahim, Huang, Chih-Wei
The evolution of vehicle-to-everything (V2X) communication brings significant challenges, such as data integrity and vulnerabilities stemming from centralized management. This paper presents an innovative integration of decentralized blockchain techn
Externí odkaz:
http://arxiv.org/abs/2411.14000
Autor:
Huang, Yi-Ting, Guo, Ying-Ren, Yang, Yu-Sheng, Wong, Guo-Wei, Jheng, Yu-Zih, Sun, Yeali, Modini, Jessemyn, Lynar, Timothy, Chen, Meng Chang
With the increasing sophistication of Advanced Persistent Threats (APTs), the demand for effective detection and mitigation strategies and methods has escalated. Program execution leaves traces in the system audit log, which can be analyzed to detect
Externí odkaz:
http://arxiv.org/abs/2411.13138
We present a machine-learning interatomic potential (MLIP) framework, which substantially accelerates the prediction of lattice thermal conductivity for both particle-like and wave-like thermal transport, including three-phonon and four-phonon scatte
Externí odkaz:
http://arxiv.org/abs/2411.10605
As Advanced Persistent Threats (APTs) grow increasingly sophisticated, the demand for effective detection methods has intensified. This study addresses the challenge of identifying APT campaign attacks through system event logs. A cascading approach,
Externí odkaz:
http://arxiv.org/abs/2410.22602
Autor:
Menke, Henri, Enderlein, Niklas, Tseng, Yi-Ting, Bockstedte, Michel, Maultzsch, Janina, Sangiovanni, Giorgio, Hansmann, Philipp
We propose three transition-metal adatom systems on 3C-SiC(111) surfaces as a versatile platform to realize massless Dirac fermions and flat bands with strong electronic correlations. Using density functional theory combined with the constrained rand
Externí odkaz:
http://arxiv.org/abs/2410.17165
Distributed learning is essential to train machine learning algorithms across heterogeneous agents while maintaining data privacy. We conduct an asymptotic analysis of Unified Distributed SGD (UD-SGD), exploring a variety of communication patterns, i
Externí odkaz:
http://arxiv.org/abs/2409.17499
We study behavior change-based visual risk object identification (Visual-ROI), a critical framework designed to detect potential hazards for intelligent driving systems. Existing methods often show significant limitations in spatial accuracy and temp
Externí odkaz:
http://arxiv.org/abs/2409.15846
Autor:
Yim, Jinsub, Lee, Hyungtae, Eum, Sungmin, Shen, Yi-Ting, Zhang, Yan, Kwon, Heesung, Bhattacharyya, Shuvra S.
We introduce Synthetic Playground (SynPlay), a new synthetic human dataset that aims to bring out the diversity of human appearance in the real world. We focus on two factors to achieve a level of diversity that has not yet been seen in previous work
Externí odkaz:
http://arxiv.org/abs/2408.11814
Autor:
Beveridge, Colin, Hart, Kathleen, Cristani, Cassio Rodrigo, Li, Xiao, Barbierato, Enrico, Hsu, Yi-Ting
Many-body eigenstates that are neither thermal nor many-body-localized (MBL) were numerically found in certain interacting chains with moderate quasiperiodic potentials. The energy regime consisting of these non-ergodic but extended (NEE) eigenstates
Externí odkaz:
http://arxiv.org/abs/2407.06253
Autor:
Tu, Yi-Ting, Sarma, Sankar Das
Publikováno v:
Phys. Rev. B 110, 075151 (2024)
We consider the well-known phonon scattering induced high-temperature linear-in-$T$ metallic resistivity, showing that a naive extrapolation of the effective linearity from high temperatures to $T=0$ leads to an apparent zero-temperature negative res
Externí odkaz:
http://arxiv.org/abs/2407.01664