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Showing result 1 - 5 of 56 essays matching the above criteria.

  1. 1. A Comparative Analysis of the Ingestion and Storage Performance of Log Aggregation Solutions: Elastic Stack & SigNoz

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

    Author : Robert Duras; [2024]
    Keywords : Elastic Stack; ELK; SigNoz; Beats; Logstash; Elasticsearch; Kibana; OpenTelemetry; ClickHouse; Log; Logging; Log Data; Log Aggregation; Performance; Ingestion; Storage;

    Abstract : As infrastructures and software grow in complexity the need to keep track of things becomes important. It is the job of log aggregation solutions to condense log data into a form that is easier to search, visualize, and analyze. READ MORE

  2. 2. Exploring older adults' interaction with a gamified memory task. A pilot study to assess usability of the 'Brain Blossom' game

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Hanna Persson; Vida William-Olsson; [2023-11-20]
    Keywords : gamified memory task; explorative study; biometric data; user experience; användarupplevelse; gamifierad minnesuppgift; explorativ studie; biometrisk data;

    Abstract : The research employed a qualitative methodology to gather insights regarding the performance, as well as the emotional and physiological reactions of older adults engaging with the "Brain Blossom" game over three sessions. This was achieved by utilizing self-reported information, encompassing tools such as the Self Assessment Manikin scale and usability experience (UX) questionnaires. READ MORE

  3. 3. Prototyping and Evaluation of a Lightweight Simulator Concept Combining Physical and Digital Assets

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

    Author : Nicke Carlsson; Carl Månsson; [2023-09-27]
    Keywords : Virtual reality; extended reality; mixed reality; tactical training; simulation; combat; medical; treatment; tccc; unreal engine;

    Abstract : Serious injuries often occur in high-risk environments such as warfare, urban combat, and traffic accidents. The medical proficiency of soldiers and first responders in these situations is paramount. READ MORE

  4. 4. DIFFERENTIAL OUTCOME TRAINING AND HUMANOID ROBOT FEEDBACK ON A VISUOSPATIAL GAMIFIED TASK: An experimental study investigating learning, affective social engagement cues and cognitive learning strategies

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Alva Markelius; Sofia Sjöberg; [2023-02-01]
    Keywords : Human-robot interaction; gamified memory task; dementia; differential outcome theory; Furhat; engagement; digitalised treatments; robot assistance;

    Abstract : By combining Differential Outcome Training (DOT), the usage of unique stimulus-response pairings, and feedback from a humanoid simulated robot (SDK) this study aims to improve learning performance of subjects on a visuospatial gamified memory task. This is achieved by using the SDK as an interface for an algorithm that provides audiovisual, reinforcing feedback promoting engangement in a new dyadic setup for a gamified task. READ MORE

  5. 5. 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