Essays about: "network on chip"

Showing result 1 - 5 of 108 essays containing the words network on chip.

  1. 1. Establishing High-Temperature Models for Leakage Current in Gated Lateral Bipolar Junction Transistors

    University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

    Author : Jimmy Atterstig; [2024]
    Keywords : Electronics; leakage current; brokaw bandgap; semiconductor physics; gauss-newton;

    Abstract : Power-efficient circuits are a vital step in moving towards a greener future. Battery life can get substantially improved by decreasing the amount of power a circuit needs. Lower power also leads to less excess heat generated. READ MORE

  3. 2. Cost-Effective Design Solution for GAIM Shooting Trigger PCB & Improving the Power Distribution Network

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Marko Pajovic; [2024]
    Keywords : Technology and Engineering;

    Abstract : Virtual Reality (VR) shooting simulators have gained popularity as effective training and entertainment tools. GAIM is a Swedish company specializing in VR shooting simulators, offering VR headsets with physical dummy guns and rifles. READ MORE

  4. 3. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

    Author : Javier Ferre Martin; [2023]
    Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE

  5. 4. Performance of 2-18 GHz RF Switches Implemented in Chip & Wire Technology : Analysis of switch topologies, bias networks and an in-depth EM analysis of bondwires

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

    Author : Gustav Eliasson; [2023]
    Keywords : RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; High isolation; Single-Pole-Single-Throw; Single-Pole-Double-Throw RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; Single-Pole-SingleThrow; Single-Pole-Double-Throw; RF-omkopplare; PIN-diod; Chip Wire Tekonologi; Bredbandig; Hög isolation; Enkelpolig-enkakast; Enkelpolig-dubbelkast;

    Abstract : The ability to control the path a signal takes through microwave circuitry is crucial when designing RF systems. The component that allows for the control of the signal path is called a switch, and it is the microwave component that this thesis will focus on. READ MORE

  6. 5. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE