Decoupling application logic from hardware lets engineers test firmware on host machines instead of waiting for dev boards.

Abstract: With the development of neural network technology, Spiking Neural Networks (SNNs) have shown great potential in edge computing and embedded systems due to their biologically inspired and low ...

Abstract: Modular multilevel converter with embedded supercapacitor energy storage system (MMC-SCES) is a promising solution to the integration challenges posed by largescale renewable energy. Within ...

Abstract: We present a novel methodology of embedded systems design based on Sleptsov net (SN) formalism. We use an SN as a graphical language of concurrent programming and as a modeling language for ...

Abstract: This paper presents an embedded system for efficient 3D object detection in robotics and autonomous systems using point cloud data acquired from 3D LiDAR sensors. Due to the large data ...

Abstract: In recent years, respiratory infectious diseases have imposed limitations on facial and fingerprint recognition technologies. Consequently, iris recognition has garnered significant ...

Abstract: Embedded system has the advantage of customizable hardware and software, which makes it able to meet the strict requirements of application system, such as function, cost, volume, power ...

Abstract: To address the challenges of low localization rate in robotic processor chips and data security risks associated with imported chips, this study develops an autonomous controllable robotic ...

Abstract: This paper describes the design and implementation of an ESP32-S3 based IoT device that integrates real-time gas safety monitoring with an AI-powered voice assistant, featuring enhanced user ...

Abstract: Aiming at the problems of efficiency improvement and resource optimization in enterprise warehouse management, this paper designs and implements an automated scheduling system based on ...

Abstract: As the power requirement of processors in portable electronic devices grows rapidly, the development of PoL power modules begins to focus on miniaturization and high current output. Magnetic ...

Abstract: This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its ...