Sökning: "objektiv utvärdering"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden objektiv utvärdering.

  1. 1. Monitoring Sustainability Performance during the Use Phase of Product-Service Systems

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Matilda Samuelsson; [2023]
    Nyckelord :Product-Service System PSS ; Sustainable Business Model; Use Phase; Assessment and Monitoring; Key Performance Indicators KPIs ; Produkttjänstsystem PSS ; Hållbar affärsmodell; Användningsfas; Bedömning och Kontroll; Nyckeltal KPI:er ;

    Sammanfattning : Circular economy (CE) is widely seen as a potential solution to negative impacts caused by thelinear economy; however, companies must integrate CE principles into the business modeldeeper to achieve sustainable development. The Product-Service System (PSS) businessmodel is a potential solution to the superficial implementation of CE due to shifting the focusto delivering functionality rather than ownership. LÄS MER

  2. 2. Analysis, evaluation, measurements and implementation of network security systems and their critical points of failure during COVID-19

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

    Författare :Adrián Olmedilla Belinchón; [2023]
    Nyckelord :COVID-19; Cyber-attack; Internet security; Cybersecurity threats; Remote Work; Cybersecurity Awareness; COVID-19; cyber-attack; Internetsäkerhet; Cybersäkerhetshot; Fjärrarbete; Cybersäkerhetsmedvetenhet; COVID-19; Ataque cibernético; Seguridad en Internet; Amenazas a la seguridad cibernética; Trabajo remoto; Concienciación sobreseguridad cibernética;

    Sammanfattning : This study analyses the evolution of the COVID-19 pandemic from a cybersecurity perspective, highlighting the different types of cyber-attacks experienced that happened around the world. In addition, this thesis shows the different types of cyber-attacks produced due to the lack of security employed during the pandemic crisis and how were the reactions of the different organizations to solving the problem. LÄS MER

  3. 3. Comparative Analysis of Spatiotemporal Playback Manipulation : Evaluating Desktop Environments versus Immersive Head-Mounted Virtual Reality Environments

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

    Författare :Andreas Wrife; [2023]
    Nyckelord :virtual reality; surgical simulations; external ventricular drainage; motion capture; interaction controls; virtuell verklighet; kirurgiska simuleringar; extern ventrikeldränage; motion capture; interaktionskontroller;

    Sammanfattning : Virtual Reality (VR) is a creative tool that enables immersive learning, planning and training of surgical operations. Extensive research has been conducted in multiple surgical specialities where VR has been utilized, such as spinal neurosurgery. However, cranial neurosurgery remains relatively unexplored in this regard. LÄS MER

  4. 4. Visualizing issue tracking data using a process mining tool to support the agile maturity assessment within the Scaled Agile Framework : A case study

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

    Författare :Olle Hovmark; [2022]
    Nyckelord :Processmining; Agilematurity; Visualization; Issuetrackingsystem; Software Process Improvement; The Scaled Agile Framework; Inductive visual Miner; Process mining; Agil mognad; Visualisering; Ärendehanteringssystem; Mjukvaruprocessförbättring; The Scaled Agile Framework; Inductive visual Miner;

    Sammanfattning : Today, agile development is broadly used within both small and large organizations worldwide. Transitioning to agile development in a large organization is a complex task that requires support from everyone in it. The Scaled Agile Framework (SAFe) is a framework meant to help integrate agile development within all parts of an organization. LÄS MER

  5. 5. Predicting a business application's cloud server CPU utilization using the machine learning model LSTM

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

    Författare :Filip Nääs Starberg; Axel Rooth; [2021]
    Nyckelord :Cloud computing; CPU prediction; Infrastructure as a service; LSTM; Machine learning; Neural networks; Recurrent neural networks; Time series prediction; ;

    Sammanfattning : Cloud Computing sees increased adoption as companies seek to increase flexibility and reduce cost. Although the large cloud service providers employ a pay-as-you-go pricing model and enable customers to scale up and down quickly, there is still room for improvement. LÄS MER