Results 51 to 60 of about 2,041,836 (260)

Machine Learning for Real-Time Fuel Consumption Prediction and Driving Profile Classification Based on ECU Data

IEEE Access
Data extracted directly from a vehicle’s electronic control unit (ECU) play a crucial role in the automotive industry because they contain valuable information from the engine and electronic parts.
Rafael Canal, Felipe K. Riffel, Giovani Gracioli   +2 more
doaj   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

Advanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May, Finn‐Lennard Janthur, Lena Kreie, Michael Müller, Sarah Seffer, Nick Schwarz, Jörg Hermsdorf, Thomas Hassel, Stefan Kaierle, Ludger Overmeyer   +9 more
wiley   +1 more source

Combining PCA and DCT for Improved Passive Seismic Data Compression

IEEE Access
The seismic surveys conducted by the oil and gas sector result in very large datasets, often exceeding terabytes of data, leading to high costs and technical challenges regarding storage and transmission of such large quantities of data.
Matheus Wagner, Mateus Martinez de Lucena, Josafat Leal Ribeiro, Antonio Augusto Frohlich   +3 more
doaj   +1 more source

AFSM-based deterministic hardware TPG [PDF]

, 2005
This paper proposes a new approach for designing a cost-effective, on-chip, hardware pattern generator of deterministic test sequences. Given a pre-computed test pattern (obtained by an ATPG tool) with predetermined fault coverage, a hardware Test ...
Benso, Alfredo, Di Carlo, Stefano, Di Natale, Giorgio, Prinetto, Paolo Ernesto   +3 more
core  

Wi-PoS : a low-cost, open source ultra-wideband (UWB) hardware platform with long range sub-GHz backbone [PDF]

, 2019
Ultra-wideband (UWB) localization is one of the most promising approaches for indoor localization due to its accurate positioning capabilities, immunity against multipath fading, and excellent resilience against narrowband interference.
De Poorter, Eli, Jooris, Bart, Lemey, Sam, Macoir, Nicola, Ridolfi, Matteo, Rossey, Jen, Van den Brande, Quinten, Van Herbruggen, Ben   +7 more
core   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +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

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators

, 2020
We show that DNN accelerator micro-architectures and their program mappings represent specific choices of loop order and hardware parallelism for computing the seven nested loops of DNNs, which enables us to create a formal taxonomy of all existing dense
Bell, Steven Emberton, Cao, Kaidi, Gao, Mingyu, Ha, Heonjae, Horowitz, Mark, Kozyrakis, Christos, Liu, Qiaoyi, Nayak, Ankita, Pu, Jing, Raina, Priyanka, Setter, Jeff Ou, Yang, Xuan   +11 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source