Results 81 to 90 of about 114,336,196 (274)

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Analog-digital conversion of speech signal

open access: yes
U ovom radu se opisuje analogno-digitalna pretvorba govornih signala. Analogni i digitalni signali su dva glavna oblika signala koja se koriste u elektronici. Analogno-digitalni pretvornici su nužne komponente mnogih digitalnih sustava.
Milić, Marijana
core   +3 more sources

Signal processing for PSoC based PIR motion detection

open access: yesJournal of Measurement Science and Instrumentation, 2012
A signal processing scheme for a programmable system-on-chip(PSoC)based human body infrared tracking system is described.The purpose of this project is to convert the analog signal from a passive infrared(PIR)sensor to a digital signal which will be used
WANG Qian, Michael Collier
doaj  

Optimized Data Transmission and Signal Processing for Telepresence Suits in Multiverse Interactions

open access: yesJournal of Sensor and Actuator Networks
With the rapid development of the metaverse, designing effective interfaces in virtual and augmented environments presents significant challenges. Additionally, keeping real-time sensory data flowing from users to their virtual avatars in a seamless and ...
Artem Volkov   +4 more
doaj   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo   +10 more
wiley   +1 more source

A 1-kS/s 12-bit SAR ADC With Burst Conversion for Anti-Leakage Current

open access: yesIEEE Access
A 1-kS/s 12-bit successive approximation register (SAR) analog-to-digital converter (ADC) which performs burst conversion is proposed to reduce the loss of the sampled analog signal due to leakage current in the capacitors of the capacitor-based digital ...
Haewoon Son   +2 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

High-Speed Column Level ADC Design of Full Parallel Two-Step Nested TDC for CMOS Image Sensor

open access: yesTsinghua Science and Technology
This study presents a column-level Analog-to-Digital Converter (ADC) designed specifically for Complementary Metal Oxide Semiconductor (CMOS) image sensors.
Zhongjie Guo   +4 more
doaj   +1 more source

Performance Analysis of 8-bit ODACs for VLC Applications [PDF]

open access: yesRadioengineering, 2017
A discrete optical power level stepping technique in visible light communication (VLC), also known, as an optical digital to analog conversion (ODAC) has been proposed.
A. Dobesch   +3 more
doaj  

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

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