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Showing result 1 - 5 of 53 essays matching the above criteria.

  1. 1. Navigating through Frustrations : A User-Centered Approach to Enhancing Airborne Early Warning and Control System Operator Experience

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Josef Jönsson; [2023]
    Keywords : Human-computer interaction; Military; User interface design; Usability; User-centered Design; Airborne Early Warning and Control System; User experience; Research-through-design; Defense industry; High-stakes environments;

    Abstract : This master thesis focuses on enhancing the user interface experience for Airborne Early Warning and Control (AEW&C) system operators in a military context. Collaborating with Saab, a defense sector company, the study employs the research through design and a user-centered design approach to investigate user needs and how they interact with the interface. READ MORE

  3. 2. Developing Wastewater-based Early Warning System for the Detection of Disease Outbreaks and Emerging Variants with focus on SARS-CoV-2

    University essay from KTH/Industriell bioteknologi

    Author : Ayda Kiyar; [2023]
    Keywords : wastewater-based epidemiology; early warning system; RT-qPCR; normalization; SARS-CoV-2; avloppsvattenbaserad epidemiologi; förvarningssystem; RT-qPCR; normalisering;

    Abstract : Under covid-19-pandemin har avloppsvattenbaserad epidemiologi (WBE) använts i stor utsträckning som ett komplement till kliniska tester över många delar av världen. Detta projekt syftade till att detektera och kvantifiera belastningen av Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) i avloppsvattenprover med hjälp av Revers transkriptas kvantitativ polymeraskedjereaktion (RT-qPCR). READ MORE

  4. 3. State-of-safety (SoS) data-driven assessment for utility-scale lithium-ion operating BESS

    University essay from KTH/Energiteknik

    Author : Romain Wenzel; [2023]
    Keywords : ;

    Abstract : The thesis project presented in this report proposes a methodology to implement the safety assessment of an operating electricity storage plant using a data-driven approach. This methodology is applied to one practical case. READ MORE

  5. 4. A comparison of remote sensed semi-arid grassland vegetation anomalies detected using MODIS and Sentinel-3, with anomalies in ground-based eddy covariance flux measurements.

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Jason Craig Joubert; [2023]
    Keywords : Geography; GIS; Anomaly Detection; Remote Sensing; fAPAR; GDMP; GPP; MODIS; Sentinel-3; Earth and Environmental Sciences;

    Abstract : Remote sensed vegetation biophysical indicators are derived from various sensors and methods and contribute to the quantification of vegetation growth. They are used as inputs to early warning systems for crop yield estimation, thus improving crop management and food security. READ MORE

  6. 5. Particle analysis of drinking water – an online, early warning system approach

    University essay from KTH/Industriell bioteknologi

    Author : Lova Lundquist Baumgartner; [2023]
    Keywords : Drinking water; online monitoring; machine learning; early warning system; baseline; Dricksvatten; online-övervakning; maskininlärning; system för tidig varning; tröskelnivå;

    Abstract : Med nya utmaningar för att tillgodose behoven av tjänligt dricksvatten hos konsumenter över hela världen krävs innovativa tekniker för övervakning av vattenkvalitet. I det här projektet undersöktes ett nytt instrument som detekterar och klassificerar partiklar i dricksvatten med hjälp av maskininlärda modeller. READ MORE