Sökning: "Skalbar"

Visar resultat 11 - 15 av 125 uppsatser innehållade ordet Skalbar.

1. 11. Precisionsfixtur för limning och skalbar automation

   Kandidat-uppsats,

   Författare :Eric Olsson; [2023]
   Nyckelord :;

   Sammanfattning : Arbetet utförs hos Teledyne Flir som är en av de världsledande i utveckling och producering av värmekameror.  Examensarbetet handlar om att designa en limfixtur för företagets framtagna komponenter på ett sätt som visar god precision och noggrannhet. Fixturen ska designas för placering i en limrobot och användas av operatörer. LÄS MER

3. 12. Adopting Observability-Driven Development for Cloud-Native Applications : Designing End-to-end Observability Pipeline using Open-source Software

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

   Författare :Chujie Ni; [2023]
   Nyckelord :Observability-driven Development; End-to-end observability; Open-source pipeline; OpenTelemetry; Kubernetes; Observerbarhetsdriven utveckling; observerbarhet från slut till slut; pipeline med öppen källkod; OpenTelemetry; Kubernetes;

   Sammanfattning : As cloud-native applications become more distributed, complex, and unpredictable with the adoption of microservices and other new architectural components, traditional monitoring solutions are inadequate in providing end-to-end visibility and proactively identifying deviations from expected behaviour before they become disruptive to services. In response to these challenges, observability-driven development (ODD) is proposed as a new methodology that leverages tools and practices to observe the state and detect the behaviour of systems. LÄS MER

4. 13. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

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

   Författare :Andreu Matoses Gimenez; [2023]
   Nyckelord :Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

   Sammanfattning : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. LÄS MER

5. 14. Optimizing Consensus Protocols with Machine Learning Models : A cache-based approach

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

   Författare :Kun Wu; [2023]
   Nyckelord :Distributed Systems; Consensus Algorithms; Machine Learning; Caching; Distribuerade system; Konsensusalgoritmer; Maskininlärning; Cachning;

   Sammanfattning : Distributed systems offer a reliable and scalable solution for tackling massive and complex tasks that cannot be handled by a single computer. However, standard consensus protocols used in such systems often replicate data without considering the workload, leading to unnecessary retransmissions. LÄS MER

7. 15. Clustering of Unevenly Spaced Mixed Data Time Series

   Master-uppsats, KTH/Matematisk statistik

   Författare :Pierre Sinander; Asik Ahmed; [2023]
   Nyckelord :mixed data time series; unevenly spaced time series; clustering; dynamic time warping; Gower dissimilarity; time warping regularisation; numeriska och kategoriska tidsserier; ojämnt fördelade tidsserier; kluster analys; dynamic time warping; Gower dissimilaritet; regularisering av tidsförvränging;

   Sammanfattning : This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissimilarities between mixed data time series. LÄS MER