Results 51 to 60 of about 17,519 (248)

ENF Based Video Forgery Detection Algorithm

, 2020
The electric network frequency (ENF) is recorded in the videos taken under the lights powered by grid and can be used for digital forensics. However, due to the lack of data caused by the low frame rate of the video, the ENF-based forensics methods ...
Yufei Wang, Alan Liew, Wang, Y, Hu, Y, Liew, AWC, Yongjian Hu, Chang-Tsun Li, Li, CT   +7 more
core   +1 more source

Geometry‐Driven Whispering‐Gallery Modes in Self‐Assembled Phosphorescent Organic Microtubes

Advanced Optical Materials, EarlyView.
Micelles encapsulating tris(2‐phenylpyridine)iridium(III) self‐assemble into a hollow hexagonal microtube stabilized by a surface passivation layer. The hexagonal cross‐section confines circulating light along its facets, sustaining sharp whispering‐gallery resonances that guide photoluminescence emission under laser excitation.
Do Wan Kim, Seokho Kim, Jinho Choi, Sang‐hun Lee, Seongwan Bae, Jongho Kim, Sangjun Lee, Junseok Heo, Sangin Kim, Kyusang Lee, Dong Hyuk Park   +10 more
wiley   +1 more source

Coherent Absorption Reveals Colors Hidden in a Grey Fabry–Pérot Cavity

Advanced Optical Materials, EarlyView.
A dielectric thin film shows colors depending on its thickness; this effect can be used to encode information normally accessible through single‐beam spectroscopy. We developed a method to conceal this kind of information, based on coating the dielectric with a matched conductor, that suppresses the color‐bearing thin‐film resonances.
Giuseppe E. Lio, Giulio Carotta, Lorenzo Lavista, Andrea Camposeo, Giacomo Venturi, Agnese Guernieri, Alessandro Pitanti, Simon A. R. Horsley, Giuseppe C. La Rocca, Alessandro Tredicucci, Simone Zanotto   +10 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Fault Attacks on the Authenticated Encryption Stream Cipher MORUS

Cryptography, 2018
This paper investigates the application of fault attacks to the authenticated encryption stream cipher algorithm MORUS. We propose fault attacks on MORUS with two different goals: one to breach the confidentiality component, and the other to breach the ...
Iftekhar Salam, Leonie Simpson, Harry Bartlett, Ed Dawson, Kenneth Koon-Ho Wong   +4 more
doaj   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

An Enhanced Symmetric Cryptosystem and Biometric-Based Anonymous User Authentication and Session Key Establishment Scheme for WSN

IEEE Access, 2018
Wireless sensor networks (WSNs) are progressive ad hoc networks that comprise of distributed sensors that are typically and randomly deployed over the target region.
Majid Alotaibi
doaj   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source