Essays about: "resursförbrukning"

Showing result 6 - 10 of 24 essays containing the word resursförbrukning.

1. 6. Resource-efficient and fast Point-in-Time joins for Apache Spark : Optimization of time travel operations for the creation of machine learning training datasets

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

   Author : Axel Pettersson; [2022]
   Keywords : Apache Spark; Point-in-Time; ASOF; Join; Optimizations; Time travel; Apache Spark; Point-in-Time; ASOF; Join; Optimeringar; Tidsresning;

   Abstract : A scenario in which modern machine learning models are trained is to make use of past data to be able to make predictions about the future. When working with multiple structured and time-labeled datasets, it has become a more common practice to make use of a join operator called the Point-in-Time join, or PIT join, to construct these datasets. READ MORE

3. 7. Climate Impact of a Nutrunner

   University essay from KTH/Maskinkonstruktion (Inst.)

   Author : Nicole Holmgren; [2022]
   Keywords : Carbon footprint; life cycle assessment; nutrunner; Klimatavtryck; livscykelanalys; mutterdragare;

   Abstract : Climate change is an existential threat to the world, causing environmental degradation and destruction of ecosystems. The EU acknowledges that several alarming tipping points are about to be reached, and the current level of action is not enough to avert global warming. READ MORE

4. 8. Transformer learning for traffic prediction in mobile networks

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

   Author : Daniel Wass; [2021]
   Keywords : Transformer; Attention; LSTM; Mobile traffic prediction.; Transformer; Attention; LSTM; Prediktering av mobil nätverkstrafik.;

   Abstract : The resources of mobile networks are expensive and limited, and as demand for mobile data continues to grow, improved resource utilisation is a prioritised issue. Traffic demand at base stations (BSs) vary throughout the day and week, but the capacity remains constant and utilisation could be significantly improved based on precise, robust, and efficient forecasting. READ MORE

5. 9. Machine Learning Based Beam Tracking in mmWave Systems

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

   Author : Yizhan Yang; [2021]
   Keywords : Beam Tracking; Machine Learning; RNN; LSTM; Strålspårning; Maskininlärning; RNN; LSTM;

   Abstract : The demand for high data rates communication and scarcity of spectrum in existing microwave bands has been the key aspect in 5G. To fulfill these demands, the millimeter wave (mmWave) with large bandwidths has been proposed to enhance the efficiency and the stability of the 5G network. READ MORE

6. 10. Distributed Decentralised Visual SLAM for Multi-Agent Systems

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

   Author : Srihaarika Vijjappu; [2020]
   Keywords : ;

   Abstract : A key challenge in multi robot systems is performing distributed SLAM (Simultaneous Localisation and Mapping). The aim of this thesis is to be able to perform visual SLAM in a decentralised manner across multiple autonomous agents while minimising the inter-agent communication bandwidth requirement. READ MORE