Sökning: "network device installation"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden network device installation.
1. Simulation and Testing of a MU-MIMO Beamforming System
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. LÄS MER
2. Device Attestation for In-Vehicle Network
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Embedded devices are crucial components of all modern vehicles. Today, every invehicle architecture consists of multiple small devices, each of which is responsible for a limited number of tasks, and together the devices act as a whole, giving the vehicle a big range of functionalities. LÄS MER
3. User Application Development For CANLoRa
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Wireless communication is becoming more common today. In all industries, there is a great interest in shifting from wired communication to wireless communication. Thus, technologies that enable wireless data transmission are becoming more suitable in the industry. LÄS MER
4. On the Impact of Graph Embedding on Device Placement
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modern neural network (NN) models require more data and parameters in or- der to perform ever more complex tasks. When an NN model becomes too massive to fit on a single machine, it may need to be distributed across multi- ple machines. LÄS MER
5. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. LÄS MER