Sökning: "Embedded devices"

Visar resultat 1 - 5 av 259 uppsatser innehållade orden Embedded devices.

1. 1. Integration of Service-Oriented Embedded Systems with External Systems in Software Product Lines

   Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Nils Johansson; [2024]
   Nyckelord :software architecture; software product lines; integration of systems;

   Sammanfattning : Developing software for complicated systems is often done by collaboration and consists of deliverables by a multitude of organisations. The deliverables can range from smaller devices and commercial-off-the-shelf software components, to larger systems. LÄS MER

3. 2. Comparing the impact of using different platforms to test embedded systems: a case study

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Asiya Ismail Mohammad; Kamila Yosofi; [2023-09-27]
   Nyckelord :Embedded systems; Hardware devices; Virtualization; Emulator; Debugging embedded systems; Error signals; Test reports; Log Messages;

   Sammanfattning : Embedded systems testing is a vital step in the development and production of embedded devices. This process can assure developers that the embedded device performs as expected and there will be no harm brought to the user. Debugging embedded firmware is a very tricky and complicated process that engineers will undergo during development. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jiayi Feng; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 4. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Egemen Yiğit Kömürcü; [2023]
   Nyckelord :;

   Sammanfattning : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. LÄS MER

7. 5. Minimizing the clock drift in partially synchronized heterogeneous TSN networks

   Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Balqis Yusuf; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER