Sökning: "Single Board Computer"
Visar resultat 1 - 5 av 70 uppsatser innehållade orden Single Board Computer.
1. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER
2. Developing a portable, customizable, single-channel EEG device for homecare and validating it against a commercial EEG device
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : There are several commercial electroencephalography (EEG) devices on the market; however, affordable devices are not versatile for diverse research applications. The purpose of this project was to investigate how to develop a low-cost, portable, single-channel EEG system for a research institute that could be used for neurofeedback-related applications in homecare. LÄS MER
3. Approaches and Techniques to Assess the Accuracy of Network Emulators
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : As the mobile communication world expands in size and complexity, the need for testing the solutions in a controlled environment before deployment is as pronounced as ever. Simultaneously, new tools and products are developed to optimize the process and reduce costs. LÄS MER
4. Near-Real Time Forest Fire Monitoring System From an UAV
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The purpose of this thesis is to implement a payload system on a drone to help fire towers in near-realtime survey forests for wildfires. The payload system should be able to communicate with a groundstation through a mobile network and the survey should be tagged with relevant metadata. LÄS MER
5. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER