Results 131 to 140 of about 6,164,294 (286)

Vine‐Inspired Soft Robotics: Materials, Actuations, and Emerging Applications

Advanced Science, EarlyView.
Vine‐inspired robots grow from the tip, enabling navigation through confined spaces with minimal disturbance. This Review summarizes material and actuation strategies for vine‐inspired growth, key functions including steering, retraction, attachment, branching, and variable stiffness, and emerging applications spanning medical intervention, confined ...
Jiahao Wu, Xingyun Liu, Fangzhou Wang, Huili Ren, Chaojun Zhang, Ziyu Ren, Zunqi Liu, Jing Li   +7 more
wiley   +1 more source

FastG T DLP: efficient algorithm for small-exponent discrete logarithm problem over group G T

Cybersecurity
In public-key cryptography, the intractability of the discrete logarithm problem (DLP) over the multiplicative cyclic group G T is a crucial security foundation for elliptic curve bilinear pairings, as well as a bottleneck for the decryption efficiency ...
Zhenjie Xie, Shengli Liu, Yao Zhang, Youqiang Luo   +3 more
doaj   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Improved Group Signature Scheme Based on Discrete Logarithm Problem

, 2012
[[abstract]]In 1998, an efficient group signature scheme (the Lee-Chang scheme) was proposed based on the discrete logarithm problem. In this scheme, different group signatures of a signer for different messages contain some identical information.
Tseng, Yuh-Min; Jan, Jinn-Ke
core  

Transformer‐Based PET/CT Fusion Enables Preoperative Prediction and Prognostic Stratification of Spread Through Air Spaces in Lung Adenocarcinoma

Advanced Science, EarlyView.
An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu, Meng Meng, Zhen‐Zhen Wang, Deng‐Lu Lu, Ya‐Min Wei, Xu‐Chang Mi, Xing‐Yu Mu, Wei Fu   +7 more
wiley   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

A Reduction of Discrete Logarithm Problem to Pairing Inversion Problem

, 2013
Since Joux [9] proposed one round tripartite Diffie-Hellman protocol by using bilinearity of pairings, pairing-based cryptosystems have been one of the most active research fields in cryptography.
김은경
core   +1 more source

Enabling Quantum‐Compatible Nonvolatile Memory: Cryogenic Evaluation of 1T1R HfO2‐Based RRAM From 300 to 1.5 K

Advanced Electronic Materials, EarlyView.
Resistive memory devices are explored for operation at extremely low temperatures relevant to quantum computing. The study reveals how transistor behavior strongly influences memory performance under cryogenic conditions and introduces an optimized programming strategy.
Emilio Pérez‐Bosch Quesada, Alberto Mistroni, Ruolan Jia, Keerthi Dorai Swamy Reddy, Markus Fritscher, Felix Reichmann, Oliver Skibitzki, Juan Bautista Roldán, Helena Castán, Salvador Dueñas, Christian Wenger, Eduardo Pérez   +11 more
wiley   +1 more source

New Digital Signature with Subliminal Channels Based on the Discrete Logarithm Problem

, 2012
[[abstract]]A digital signature with a subliminal channel, that allows a signer to embed subliminal messages in the digital signature. Any receivers may verify the signature, but can not discover the subliminal messages, only authorized receivers can ...
Jan, Jinn-Ke; Tseng, Yuh-Min
core  

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source