Sökning: "Network Processor"
Visar resultat 11 - 15 av 111 uppsatser innehållade orden Network Processor.
11. Design of the SiLago GNOC
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Synchoros VLSI design style can be an alternative choice to fit the increasing complexity of embedded multi-processor architectures. SiLago Block is part of the synchoros blocks, which can effectively reduce the cost of logic and physical synthesis as it is hardened and highly centralized details from each layer of metal. LÄS MER
12. NoC for Versatile Micro-Code Programmable Multi-Core Processor Targeting Convolutional Neural Networks
Master-uppsats, Linköpings universitet/DatorteknikSammanfattning : This thesis investigates building a network-on-chip for a multi-core chip computing convolutional neural networks (CNNs) using Imsys processors in a tree architecture. The division of work on a multi-core chip is investigated. LÄS MER
13. Designing a large neighborhood search method to solve a multi-processor avionics scheduling problem
Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : This thesis introduces a Large Neighborhood Search (LNS) method to solve a multi-processor avionics scheduling problem. In a typical scheduling problem, tasks are scheduled with exact starting times. In this thesis however, tasks will instead be assigned to disjoint time segments, called buckets. LÄS MER
14. Förstärkt verklighet på underjordiska gruvmaskiner
Uppsats för yrkesexamina på avancerad nivå, Örebro universitet/Institutionen för naturvetenskap och teknikSammanfattning : Underground mining has for a long time been associated with an extremely dangerous professiondue to the nature of the work and the environment. Large efforts have been made to makemachines autonomous but there are situations and environments where manual operations areneeded. LÄS MER
15. Continuous Balance Evaluation by Image Analysis of Live Video : Fall Prevention Through Pose Estimation
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : The deep learning technique Human Pose Estimation (or Human Keypoint Detection) is a promising field in tracking a person and identifying its posture. As posture and balance are two closely related concepts, the use of human pose estimation could be applied to fall prevention. LÄS MER