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Showing result 1 - 5 of 69 essays matching the above criteria.

  1. 1. Ensuring the Security of PyPI Packages

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : David Shakoori Gustafsson; [2023-10-23]
    Keywords : Computer science; Security; Python; PyPI; Typosquatting;

    Abstract : Developers often use open-source code libraries in order to achieve desired functionalities without needing to re-implement existing code. Python developers are no exceptions here, and frequently use the Python Package Index, PyPI, to download the specific code packages they want to use. READ MORE

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

    University essay from Uppsala universitet/Signaler och system

    Author : Anton Lind; [2023]
    Keywords : 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;

    Abstract : 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). READ MORE

  4. 3. Club Head Tracking : Visualizing the Golf Swing with Machine Learning

    University essay from Uppsala universitet/Signaler och system

    Author : Fredrik Herbai; [2023]
    Keywords : Golf; Machine learning; Neural network; XGBoost; Interpolation; Deep learning; Data collection; Data augmentation;

    Abstract : During the broadcast of a golf tournament, a way to show the audience what a player's swing looks like would be to draw a trace following the movement of the club head. A computer vision model can be trained to identify the position of the club head in an image, but due to the high speed at which professional players swing their clubs coupled with the low frame rate of a typical broadcast camera, the club head is not discernible whatsoever in most frames. READ MORE

  5. 4. CAD-Integrated Life Cycle Assessment in Product Development : Evaluation in a Technical Development Context

    University essay from Jönköping University/Tekniska Högskolan

    Author : Petrus Hultgren; Pontus Smärgel; [2023]
    Keywords : Eco-design; life cycle assessment; computer aided design integrated life cycle assessment; product development; CAD-integrated LCA;

    Abstract : In order to reduce the environmental footprint of products, companies turn to Eco-design and associated tools. Life cycle assessment (LCA) is a holistic and quantitative tool that is widely accepted in companies, but it is too extensive to apply in product development; as an alternative, simplified versions are more suitable. READ MORE

  6. 5. Paletto: An Interactive Colour Palette Generator : Facilitating Designers’ Colour Selection Processes

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Rema Salman; [2022]
    Keywords : Colour-palettes design; Colour extraction; Machine-learning; K-means algorithm; Human-computer interaction; Human-automation collaboration; User experience; User engagement.;

    Abstract : Digital growth and the adaption of internet-based solutions, particularly artificial intelligence and machine learning, have dramatically changed the way design is done today. This rapid change in technology has challenged the level of automation, which influences the human-automation interactions with the available colour-design tools (academic and commercial). READ MORE