Sökning: "Computer architecture"

Visar resultat 16 - 20 av 384 uppsatser innehållade orden Computer architecture.

1. 16. The User Needs Of Agent-Based Modelling Experts : What Information Architecture reveals about ABM frameworks

   Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Bertilla Fabris; [2023]
   Nyckelord :Agent-based Modelling; ABM; Usability; Information Architecture; Computer and Information Science; ABSS; Agent-based Social Simulation; Agent Based Modelling; Agent-Based Modeling; Agent Based Modeling;

   Sammanfattning : Present-day Agent Based Modelling is used to simulate complex systems in which agents are explicitly heterogeneous. Researchers within the field of ABM have a set of tools at their disposal, yet little is known about the usability and learnability of these systems. LÄS MER

3. 17. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Anton Lind; [2023]
   Nyckelord :ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

   Sammanfattning : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). LÄS MER

4. 18. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

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

   Författare :Gustaf Halvardsson; [2023]
   Nyckelord :Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

   Sammanfattning : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). LÄS MER

5. 19. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

   Författare :Nathan Allard; [2023]
   Nyckelord :;

   Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

7. 20. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Xingda Li; Haidi Hu; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. LÄS MER