Essays about: "S. robusta"

Showing result 16 - 20 of 57 essays containing the words S. robusta.

  1. 16. Dynamical Behaviors of A Class of Generalized Skew Shifts

    University essay from KTH/Matematik (Avd.)

    Author : Kuan Yan; [2022]
    Keywords : mathematics; dynamical systems; skew shifts; SNAs; matematik; dynamiska system; skeva skift; SNAs;

    Abstract : In this paper we study a dynamical system given by a variant of the classic skew-shifts on the torus $S^1\times S^1$. Our map is defined based on $T(x,y) = (x+\omega,x+f(y))$, where $\omega$ is Diophatine, $f$ is an orientation-preserving circle diffeomorphism. READ MORE

  3. 17. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

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

    Author : Thomas Wang; [2021]
    Keywords : Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Abstract : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. READ MORE

  4. 18. Random projections in a distributed environment for privacy-preserved deep learning

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

    Author : Malcolm Bagger Toräng; [2021]
    Keywords : Random projections; Generative adversarial networks; Privacy metrics; Deep learning; Obfuscation.; Slumpmässiga projektioner; Generativa kontroversiella nätverk; Privatiserings-mått; Djupinlärning; Obfuskering.;

    Abstract : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. READ MORE

  5. 19. The Resilience of the Rail System for International Freight in Öresund Region in Case of Major Disruptions

    University essay from KTH/Transportplanering

    Author : Sneha Gosavi; [2021]
    Keywords : Öresund Fixed Link; Capacity constraints; Freight trains; Simulation; Fast förbindelse Öresund; Kapacitetsbegränsningar; godståg; simulering iv;

    Abstract : Rail Transport has held an important place in the European economy. Several problems plague rail freight. We frequently hear about train disruptions, whether it is due to a signal failure or an infrastructure breakdown, most of which have caused significant issues for both passengers and cargo. READ MORE

  6. 20. Funktion som underlag för design : en fallstudie över exempel på gators utformning i Uppsala innerstad med hänsyn till utryckningsfordon

    University essay from SLU/Dept. of Urban and Rural Development

    Author : Selma Ogden; [2020]
    Keywords : gata; funktion; design; framkomlighet; aktivitet; attraktivitet;

    Abstract : Masteruppsatsen behandlar frågor kring utformning (design) och användning (funktion) av allmän plats. Uppsatsen syftar till att ta fram riktlinjer för hur landskapsarkitekter och andra specialister bör ta hänsyn till funktionskrav vid utformningen av offentliga gatumiljöer. READ MORE