Essays about: "real-time embedded systems"

Showing result 1 - 5 of 159 essays containing the words real-time embedded systems.

  1. 1. Real-Time System Benchmarking with Embedded Linux and RT Linux on a Multi-Core Hardware Platform

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Kian Hosseini; [2024]
    Keywords : Real-time; Embedded systems; Benchmarking; Multicore;

    Abstract : To catch up with the growing trend of parallelism, this thesis work focuses on the adaption of embedded real-time systems to a multicore platform. We use the embedded system of Xilinx ZCU-102, a multicore board, as an example of an embedded system without getting deep into its architecture. READ MORE

  3. 2. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

  4. 3. Minimizing the clock drift in partially synchronized heterogeneous TSN networks

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Balqis Yusuf; [2023]
    Keywords : ;

    Abstract : The new generation of embedded systems will increase interaction between the environment, people, and autonomous devices. This will increase their need for communication, particularly in meeting real-time requirements. READ MORE

  5. 4. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE

  6. 5. Classification of Cable Shoe Presses on an Embedded System Using a Neural Network Implemented by Hand

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Charlotta Nordlund; [2023]
    Keywords : ;

    Abstract : Pressing cables with cable shoes currently involves the use of high pressure to ensure successful crimping. However, this approach lacks the ability to detect when the pressing has been completed. Elpress intends to develop a handheld tool that can classify cables in real-time and stop the pressing before unnecessary energy is lost. READ MORE