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Showing result 1 - 5 of 348 essays matching the above criteria.

  1. 1. Conjugate Heat Transfer Analysis of HPGP Thruster

    University essay from Luleå tekniska universitet/Rymdteknik

    Author : Lisa Svensson; [2024]
    Keywords : aerospace; HPGP; ECAPS; ANSYS; conjugate heat transfer; thruster; space;

    Abstract : This master's thesis was conducted in collaboration with ECAPS, where a conjugate heat transfer analysis on their High Performance Green Propulsion (HPGP) 22N thruster was done. ECAPS is a Swedish propulsion company specializing in green propulsion. They develop thrusters for spacecraft orbit and attitude control, utilizing the propellant LMP-103S. READ MORE

  3. 2. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : John Moberg; Jonathan Widén; [2023]
    Keywords : Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Abstract : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. READ MORE

  4. 3. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Author : Kobe Moerman; [2023]
    Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE

  5. 4. 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

  6. 5. Prototyping Tool for Large Scale Interactive Experiences

    University essay from Lunds universitet/Institutionen för designvetenskaper

    Author : Venkata Satya Anurag Gargeya Unnava; Yiyang Liu; [2023]
    Keywords : Virtual Reality; Augmented Reality; Interactive Content; Large Scale Interactive Content; Visualizer; Simulations; Technology and Engineering;

    Abstract : In the age where entertainment is the driving force behind the functioning of large industries, companies like SONY have figured out a way to market their entertainment content including movies, music, and games using large-scale interactive marketing and promotional content. Building and testing such content before it is released on large and complex devices is a continuously challenging task and there have been efforts both in academia and industry made to ameliorate this content production workflow. READ MORE