Results 101 to 110 of about 68,235 (306)

A Faust architecture for the ESP32 microcontroller

open access: yes, 2020
This paper introduces faust2esp32, a tool to generate digital signal processing engines for the ESP32 microcontroller family. It can target both the C++ and the Arduino ESP32 programming environment and it supports a wide range of audio codecs, making it compatible with most ESP32-based prototyping boards. After demonstrating how to use faust2esp32 and
Michon, Romain   +5 more
openaire   +4 more sources

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

open access: yesAdvanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li   +5 more
wiley   +1 more source

Universal Microcontroller Unit [PDF]

open access: yes, 2011
Master’s thesis contains description parameters of microcontroller ATMEGA644P, also contains differences between older and newer version of microcontrollers ATMEGA644 and ATMEGA644PA.
Kulenda, Vít
core  

Design methodology for microcore-based mixed-signal ASICs [PDF]

open access: yes, 2022
This paper presents key concepts of our methodology to design microcore-based mixed-signal ASICs of high complexity. we introduce two sotware-tools for verification and tecs, both of which are designed to increase the effectivness of the development ...
Sievert, K.   +3 more
core  

A Low-Cost Modular Platform for Heterogeneous Data Acquisition with Accurate Interchannel Synchronization

open access: yesSensors, 2015
Most experimental fields of science and engineering require the use of data acquisition systems (DAQ), devices in charge of sampling and converting electrical signals into digital data and, typically, performing all of the required signal preconditioning.
José Luis Blanco-Claraco   +3 more
doaj   +1 more source

Introducing PNEUMA: A Hybrid Soft Pneumatic Fabric Bidirectional Actuation Module for Wearable Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This study presents a soft pneumatic fabric bidirectional actuation module (PNEUMA) capable of generating high torque in both bending directions within a single integrated architecture. PNEUMA achieves up to 50 Nm with reduced inflation volume and a lightweight design.
Odysseas Simatos   +2 more
wiley   +1 more source

Sistema de adquisición de datos para determinar el grupo de conexión en el transformador trifásico DL1080

open access: yesTecnura, 2014
This paper presents the design and implementation of a data acquisition system to identify the different vector groups of the triphase transformer DL1080. This design is based on computational tools in hardware and software such as Microchips and Labview
César Augusto Hernández Suarez   +2 more
doaj   +1 more source

A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery

open access: yesAdvanced Robotics Research, EarlyView.
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma   +4 more
wiley   +1 more source

Digital thickness meter using infrared sensor

open access: yesJournal of Associated Medical Sciences, 2017
Introduction: Knowing of patient thickness helps to determine the proper current and voltage of x-ray tube. Lesions on radiographs can be clearly seen and provide an accurate diagnosis.
Onuma Wayopat, Panatsada Awikunprasert
doaj  

Neural network quantification for solar radiation prediction: An approach for low power devices

open access: yesAiBi Revista de Investigación, Administración e Ingeniería
Accurate solar radiation prediction leverages various machine learning techniques, with artificial neural networks (ANN) being the most common and precise due to their ability to detect and learn relationships between meteorological variables and solar ...
Brenda Alejandra Villamizar-Medina   +5 more
doaj   +1 more source

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