Results 301 to 310 of about 151,468 (365)

Energy-Aware Duty Cycle Management for Solar-Powered IoT Devices. [PDF]

Sensors (Basel)
Gerndt M, Ispir M, Nunez I, Benedict S.
europepmc   +1 more source

MICROCONTROLLER BASED SPEED CONTROL OF SINUSOIDAL PWM INVERTER FED THREE PHASE INDUCTION MOTOR

, 2013
V. Prabaharan, R. Umamaheswaran
openalex   +1 more source

Microcontroller Servomotor for Maximum Effective Power Point for Solar Cell System

, 2010
Mohammed Majid M. Al-Khalidy, Ali Amer Ahmed Alrawi, N. Noaman   +2 more
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers

IEEE International Conference on Robotics and Automation, 2023
Model-predictive control (MPC) is a powerful tool for controlling highly dynamic robotic systems subject to complex constraints. However, MPC is computationally demanding, and is often impractical to implement on small, resource-constrained robotic ...
Anoushka Alavilli, Khai Nguyen, Sam Schoedel, Brian Plancher, Zachary Manchester   +4 more
semanticscholar   +1 more source

MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory

Neural Information Processing Systems, 2023
Due to the high price and heavy energy consumption of GPUs, deploying deep models on IoT devices such as microcontrollers makes significant contributions for ecological AI.
Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu   +5 more
semanticscholar   +1 more source

Space-Efficient TREC for Enabling Deep Learning on Microcontrollers

International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
Deploying deep neural networks (DNNs) for a resource-constrained environment and achieving satisfactory performance is challenging. It is especially so on microcontrollers for their stringent space and computing power.
Jiesong Liu, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Xiaoyong Du, Xipeng Shen   +6 more
semanticscholar   +1 more source

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers

World Forum on Internet of Things, 2021
Recent advancements in the field of ultra-low-power machine learning (TinyML) promises to unlock an entirely new class of edge applications. However, continued progress is restrained by the lack of benchmarking Machine Learning (ML) models on TinyML ...
B. Sudharsan, Simone Salerno, Duc-Duy Nguyen, Muhammad Yahya, Abdul Wahid, P. Yadav, J. Breslin, M. Ali   +7 more
semanticscholar   +1 more source

Impact and trends in embedding field programmable gate arrays and microcontrollers in scientific instrumentation.

Review of Scientific Instruments, 2021
Microcontrollers and field-programmable gate arrays have been largely leveraged in scientific instrumentation since decades. Recent advancements in the performance of these programmable digital devices, with hundreds of I/O pins, up to millions of logic ...
M. Carminati, G. Scandurra
semanticscholar   +1 more source

Microcontrollers

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
Today's microcontrollers are fast, cheap and low power machines that can handle just about any control or data processing application imaginable. However, considering thousands of microcontroller varieties available in the market from over 25 leading manufacturers, and this variety growing continuously, choosing the right microcontroller for a ...
Divyang Vyas, null Pandya
openaire   +1 more source

A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers

IEEE Transactions on Biomedical Circuits and Systems
Wearable systems for the continuous and real-time monitoring of cardiovascular diseases are becoming widespread and valuable assets in diagnosis and therapy.
Paola Busia, M. A. Scrugli, V. J. Jung, Luca Benini, Paolo Meloni   +4 more
semanticscholar   +1 more source