Sökning: "torrents"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet torrents.

1. 1. An analysis of decentralized peer-to-peer file sharing performance : An overview of how different parameters affect the average download time in a BitTorrent-like network

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

   Författare :Eric Söderberg; Jakob Råhlén; [2021]
   Nyckelord :;

   Sammanfattning : During the COVID-19 pandemic, online teaching has become more prevalent than ever before. As teaching resources such as video lectures are to be distributed from a single teacher to a large number of students, who may choose to download the files at any time of the day, questions arise as to how to do so efficiently. LÄS MER

3. 2. När skyarna faller : publika platser med hållbar skyfallshantering i den förtätade staden

   Kandidat-uppsats, SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

   Författare :Millicent Skogsmyr; [2019]
   Nyckelord :hållbar skyfallsplanering; öppen dagvattenhantering; klimatförändringar; grönblå infrastruktur; förtätning;

   Sammanfattning : På grund av världens pågående globala uppvärmning som sker till följd av förbränning av fossila bränslen kommer vädret och klimatet att förändras inom det närmaste århundradet. Perioder av torka kommer bli allt längre och kraftiga skyfall kommer bli vanligare. LÄS MER

4. 3. Data mining file sharing metadata : A comparison between Random Forests Classificiation and Bayesian Networks

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Andreas Petersson; [2015]
   Nyckelord :machine learning; random forests; bayesian network; bittorrent; file sharing;

   Sammanfattning : In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks. This work was performed in two steps. LÄS MER

5. 4. Data mining file sharing metadata : A comparison between Random Forests Classification and Bayesian Networks

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Andreas Petersson; [2015]
   Nyckelord :Machine learning; random forests; Bayesian networks; Bit Torrent; file sharing;

   Sammanfattning : In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks.This work was performed in two steps. LÄS MER

7. 5. Farmers' participation in conservation of rural landscapes : A case study of the Menorca Biosphere Reserve (Spain)

   Master-uppsats, Stockholms universitet/Stockholm Resilience Centre

   Författare :Pau Torrents; [2014]
   Nyckelord :adaptive co-management; biosphere reserve; social-ecological system; rural landscape; agricultural land abandonment; Menorca; Menorca Biosphere Reserve Agency; stakeholder; participation; cooperation; stewardship; farmer; landowner; trust.;

   Sammanfattning : In an European context of agricultural land abandonment, the role of the farming community as landscape stewards is crucial for maintaining the rural landscape as well as the ecosystem services provided by this landscape. Such stewardship is studied here by assessing the participation of the farming community in the management of Menorca Biosphere Reserve, a small Mediterranean island with very well conserved and rich rural landscape which is not escaping this tendency of land abandonment. LÄS MER