Results 61 to 70 of about 90,527 (273)

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

open access: yesAdvanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu   +7 more
wiley   +1 more source

Sistema de reconocimiento de vocabulario ampliado empleando Raspberry aplicado a la domótica [PDF]

open access: yes, 2018
Este proyecto presenta el diseño de un prototipo de bajo costo de un sistema para el control de un entorno domótico, basado en la API de reconocimiento de voz de Google (Google Voice API1) y el sistema electrónico embebido Raspberry Pi.
Duque Osorio, David Ernesto   +1 more
core  

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

Upgrade of Ball and Plate Laboratory Model [PDF]

open access: yes, 2019
Bakalářská práce se zabývá analýzou laboratorního modelu Humusoft CE-151, jeho uvedením do funkčního stavu a modernizací vnitřní elektroniky. Model bude udržovat kuličku na zadané pozici pomocí řídicího systému.
Vybíral, Martin
core  

The Pi-puck extension board: a Raspberry Pi interface for the e-puck robot platform [PDF]

open access: yes, 2017
This paper presents the Pi-puck extension board - an interface between the e-puck robot platform and a Raspberry Pi single-board computer that enhances the processing power, memory capacity, and networking capabilities of the robot at a low cost.
Fleseriu, Cristian   +7 more
core   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger   +3 more
wiley   +1 more source

Raspberry PI

open access: yes, 2017
Raspberry Pi es un ordenador de placa reducida o (placa única) (SBC) de bajo costo, desarrollado en Reino Unido por la Fundación Raspberry Pi, con el objetivo de estimular la enseñanza de ciencias de la computación en las escuelas.” Lo importante de este computador son las facilidades que brinda para ser utilizado en diversos proyectos tecnológicos ...
openaire   +3 more sources

Sistem Keamanan Penerimaan Paket Menggunakan Face Recognition dan Metode Comparison Algorithms dengan Rasberry Pi Berbasis Internet of Things

open access: yesJournal of Information and Technology
Pada penelitian ini akan menggunakan raspberry pi untuk pemrosesan wajah. Pemilihan raspberry pi karena proses pengenalan wajah membutuhkan processing cpu yang lebih besar. Kemudian untuk inputnya menggunakan webcam Kemudian akan diproses oleh raspberry
Frisca Nurul Azmi   +2 more
doaj   +1 more source

Kontrol Motor Induksi 1 Fasa Menggunakan Raspberry Pi

open access: yesJurnal Teknik Elektro, 2020
Motor induksi paling banyak digunakan pada peralatan industri maupun pada peralatan rumah tangga, karena harganya relatif murah dan perawatannya juga lebih mudah, jika dibandingkan dengan jenis motor lainnya.
Junaidi Asrul   +5 more
doaj   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi   +7 more
wiley   +1 more source

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