Results 71 to 80 of about 2,113,335 (310)

Combining Magnetostriction with Variable Reluctance for Energy Harvesting at Low Frequency Vibrations

Applied Sciences
In this paper, we explore the benefits of using a magnetostrictive component in a variable reluctance energy harvester. The intrinsic magnetic field bias and the possibility to utilize magnetic force to achieve pre-stress leads to a synergetic ...
Johan Bjurström, Cristina Rusu, Christer Johansson   +2 more
doaj   +1 more source

Updating Model of Software Component Trustworthiness Based on Users Feedback

IEEE Access, 2019
The software trustworthiness measurement is one of the hot topics. Software component technology is the mainstream technology of software development.
Baohua Wang, Yixiang Chen, Shun Zhang, Hengyang Wu   +3 more
doaj   +1 more source

Implementation of JPEG compression and motion estimation on FPGA hardware

, 2008
A hardware implementation of JPEG allows for real-time compression in data intensivve applications, such as high speed scanning, medical imaging and satellite image transmission.
Gopalakrishnan, Ramakrishna
core   +1 more source

Enhanced Switching Performance in Single‐Crystalline PbTiO3 Ferroelectric Memristors for Replicating Synaptic Plasticity

Advanced Functional Materials, EarlyView.
This study demonstrated single‐crystalline PbTiO3‐based memristors with atomically sharp interfaces, well‐ordered lattices, and minimal lattice mismatch. The devices exhibited an ON/OFF ratio exceeding 105, high stability, and rich resistance‐state modulation.
Haining Li, Zhiqiang Liao, Risa Kataoka, Md Sarker Shamim, Takeshi Kijima, Hiroyasu Yamahara, Hitoshi Tabata, Munetoshi Seki   +7 more
wiley   +1 more source

LMDAPNet: A Novel Manifold-Based Deep Learning Network

IEEE Access, 2020
In this paper, we propose a novel deep learning network, called Local Manifold Discriminant Analysis Projection Network (LMDAPNet). Different from most existing face recognition based on Deep Neural Networks (DNNs) methods that learn complex feature ...
Yan Li, Guitao Cao, Wenming Cao
doaj   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Edge-Boosted U-Net for 2D Medical Image Segmentation

IEEE Access, 2019
Automatic medical image segmentation has always been a heated study in computer-assisted diagnosis (CAD). It is a quite challenging task due to the diversity and complexity of medical images.
Renjie Zhao, Weiting Chen, Guitao Cao
doaj   +1 more source

MGSim - Simulation tools for multi-core processor architectures [PDF]

, 2013
MGSim is an open source discrete event simulator for on-chip hardware components, developed at the University of Amsterdam. It is intended to be a research and teaching vehicle to study the fine-grained hardware/software interactions on many-core and ...
Fu, Jian, Jesshope, Chris R., Lankamp, Mike, Poss, Raphael, Uddin, Irfan, Yang, Qiang   +5 more
core   +1 more source

Ion‐Selective Microporous Membranes via One‐Step Copolymerization Enable High‐Performance Redox Flow Batteries

Advanced Functional Materials, EarlyView.
A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu, Chunchun Ye, Ying Ma, Rui Tan, Xiangwen Wang, Huiting Zhang, Peng Song, Quan‐Fu An   +7 more
wiley   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source