Results 111 to 120 of about 717,844 (304)

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

A Multiplier-Free Convolution Neural Network Hardware Accelerator for Real-Time Bearing Condition Detection of CNC Machinery. [PDF]

Sensors (Basel), 2023
Liang YP, Hung MY, Chung CC.
europepmc   +1 more source

Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots

Advanced Materials, EarlyView.
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky, Franz A. Stolpen, Zachariah A. Page, Lillian Chin   +3 more
wiley   +1 more source

Hardware accelerator for the JPEG encoder on the xilinx SPARTAN 3 FPGA [PDF]

, 2011
textThe report detailing the Hardware Accelerator for the JPEG encoder is organized into three sections. First, it will review the processes of the Joint Photographic Experts Group (JPEG) encoding and decoding standard.
Zheng, Feng, M.S. in Engineering
core   +1 more source

Deployment and validation of predictive 6-dimensional beam diagnostics through generative reconstruction with standard accelerator elements

Scientific Reports
Understanding the 6-dimensional phase space distribution of particle beams is essential for optimizing accelerator performance. Conventional diagnostics such as use of transverse deflecting cavities offer detailed characterization but require dedicated ...
Seongyeol Kim, Juan Pablo Gonzalez-Aguilera, Ryan Roussel, Gyujin Kim, Auralee Edelen, Myung-Hoon Cho, Young-Kee Kim, Chi Hyun Shim, Hoon Heo, Haeryong Yang   +9 more
doaj   +1 more source

Designing Deep Learning Hardware Accelerator and Efficiency Evaluation. [PDF]

Comput Intell Neurosci, 2022
Qi Z, Chen W, Naqvi RA, Siddique K.
europepmc   +1 more source

Hardware accelerator design for image processing

, 2012
This paper proposed an image processing system based on hardware accelerator design method in FPGA chip. The architectures of the image system will be described.
Li, Shih-An, Shih-An Li, Li, Shih-an; Wong, Ching-chang; Yang, Ching-yang; Chen, Li-feng, Li, S.A.; Wong, C.C.; Yang, C.Y.; Chen, L.F., Ching-Yang Yang, Li-Feng Chen, Ching-Chang Wong   +6 more
core   +1 more source

Cross-Layer Hardware/Software Assessment of the Open-Source NVDLA Configurable Deep Learning Accelerator

, 2020
The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open architecture that aims at promoting a standard way of designing deep neural network (DNN) inference engines.
Bertozzi D., Veronesi A., Krstic M., Milos Krstic, Alessandro Veronesi, Davide Bertozzi   +5 more
core   +1 more source

Nonplanar Bouligand Architectures for Enhanced Mechanical Performance in Cementitious Composites

Advanced Materials, EarlyView.
Inspired by the impact region of the Mantis shrimp dactyl club, nonplanar additive manufacturing translates sinusoidal Bouligand architectures into cementitious composites. Printing‐induced anisotropy and architected interfaces promote distributed damage and arrest crack propagation, enhancing strength and energy absorption.
Yu Wang, Loukham Shyamsunder, Phani Saketh Dasika, Andrew Nguyen, David Kisailus, Jan Olek, Jeffrey P. Youngblood, Pablo D. Zavattieri   +7 more
wiley   +1 more source