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Showing result 11 - 15 of 17 essays matching the above criteria.

  1. 11. GPU integration for Deep Learning on YARN

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Robin Andersson; [2017]
    Keywords : ;

    Abstract : In recent years, there have been many advancements in the field of machine learning and adoption of its techniques in many industries. Deep learning is a sub-field of machine learning that is largely attributed to many of recent innovative applications such as autonomous driving systems. READ MORE

  2. 12. Operation of the expanded Blue Metro Line in Stockholm

    University essay from KTH/Transportplanering, ekonomi och teknik

    Author : Soumela Peftitsi; [2016]
    Keywords : Train scheduling; Metro operation; Operational eciency; Urban rail;

    Abstract : Since the population growth of Stockholm Region is rapid, leading to larger demand on Public Transport and especially metro, four Municipalities of the Region have agreed on the expansion of the metro network. Blue metro line will be extended to Nacka and Hagsatra in the south and Barkarby in the north of the Swedish capital. READ MORE

  3. 13. Train Re-scheduling : A Massively Parallel Approach Using CUDA

    University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Author : Anton Petersson; [2015]
    Keywords : scheduling algorithms; massively parallel algorithms; combinatorial optimization;

    Abstract : Context. Train re-scheduling during disturbances is a time-consuming task. Modified schedules need to be found, so that trains can meet in suitable locations and delays minimized. Domino effects are difficult to manage. READ MORE

  4. 14. Re-scheduling the Railway Traffic using Parallel Simulated Annealing and Tabu Search : A comparative study

    University essay from

    Author : Petrit Gerdovci; Sebastian Boman; [2015]
    Keywords : Parallel Computing; tabu search; simulated annealing; train re-scheduling;

    Abstract : Context: This study has been conducted in the area of train rescheduling. One of the most common types of disturbance scenarios are trains which have deviated from their originally planned arrival or departure times. READ MORE

  5. 15. Visual and Analytical Support for Real-time Evaluation of Railway Traffic Re-scheduling Alternatives During Disturbances

    University essay from Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikation

    Author : Arun Kumar Karthikeyan; Praveen Kumar Mani; [2012]
    Keywords : Train traffic; Disturbance management; Train delay; Train traffic dispatching;

    Abstract : Disturbances in the railway network are frequent and to some extent, inevitable. When this happens, the traffic dispatchers need to re-schedule the train traffic and there is a need for decision support in this process. READ MORE