Now showing items 1657-1676 of 2289

    • Practical security of quantum cryptography 

      Lydersen, Lars Vincent van de Wiel (Doktoravhandlinger ved NTNU, 1503-8181; 2011:227, Doctoral thesis, 2011)
      The peculiar properties of quantum mechanics enable possibilities not allowed by classical physics. In particular, two parties can generate a random, secret key at a distance, even though an eavesdropper can do anything ...
    • Pre- and post-construction studies of conflicts between birds and wind turbines in coastal Norway (BirdWind) - Progress Report 2009 

      Bevanger, Kjetil Modolv; Berntsen, Finn Erik Harald; Clausen, Stig Morten; Dahl, Espen Lie; Flagstad, Øystein; Follestad, Arne; Halley, Duncan John; Hanssen, Frank Ole; Hoel, Pernille Lund; Johnsen, Lars; Kvaløy, Pål; May, Roelof Frans; Nygård, Torgeir; Pedersen, Hans-Christian; Reitan, Ole; Steinheim, Yngve; Vang, Roald (Nina Rapport;505, Research report, 2009)
      From 2007 inclusive, NINA has received economic support for research on wind power and birds from the Norwegian Research Council (NFR) through the RENERGI-programme. The project is named Pre- and post-construction studies ...
    • Pre- and post-construction studies of conflicts between birds and wind turbines in coastal Norway (BirdWind). Report on findings 2007-2010 

      Bevanger, Kjetil Modolv; Berntsen, Finn Erik Harald; Clausen, Stig Morten; Dahl, Espen Lie; Flagstad, Øystein; Follestad, Arne; Halley, Duncan John; Hanssen, Frank Ole; Johnsen, Lars; Kvaløy, Pål; Lund-Hoel, Pernille*; May, Roelof Frans; Nygård, Torgeir; Pedersen, Hans-Christian; Reitan, Ole; Røskaft, Eivin; Steinheim, Yngve; Stokke, Bård Gunnar; Vang, Roald (NINA rapport;620, Research report, 2011)
      The BirdWind project (2007-2010) is now concluded. This report summarises the main findings. Several scientific papers are in the process of preparation for publication in international peer re-view journals; this report ...
    • "Pre- and post-construction studies of conflicts between birds and wind turbines in coastal Norway". Progress Report 2008 

      Bevanger, Kjetil Modolv; Clausen, Stig Morten; Dahl, Espen Lie; Flagstad, Øystein; Follestad, Arne; Gjershaug, Jan Ove; Halley, Duncan John; Hanssen, Frank Ole; Hoel, Pernille Lund; Jacobsen, Karl-Otto; Johnsen, Lars; May, Roelof Frans; Nygård, Torgeir; Pedersen, Hans-Christian; Reitan, Ole; Steinheim, Yngve; Vang, Roald (NINA rapport;409, Research report, 2008)
      Nøkkelord : windpower, radar, bird, mortality, whitetailed sea eagle, GIS, ptarmigan, eagle owl, vindkraft, dødlighet, havørn, lirype, hubro
    • “Pre- and post-construction studies of conflicts between birds and wind turbines in coastal Norway”. Statusrapport 1. januar 2008 

      Bevanger, Kjetil Modolv; Follestad, Arne; Gjershaug, Jan Ove; Halley, Duncan John; Hanssen, Frank Ole; Johnsen, Lars; May, Roelof Frans; Nygård, Torgeir; Pedersen, Hans Christian; Reitan, Ole; Steinheim, Yngve (NINA Rapport;329, Research report, 2008)
      NINA har siden 1999 hatt ulike forsknings- og utredningsaktiviteter knyttet til vindkraft og fugl (med spesiell fokus på havørn). Finansieringen har hovedsakelig kommet fra NVE og Statkraft, men også EBL, DN/MD, Norsk Hydro ...
    • Pre-Launch Assembly, Integration, and Testing Strategy of a Hyperspectral Imaging CubeSat, HYPSO-1 

      Prentice, Elizabeth; Honoré-Livermore, Evelyn; Bakken, Sivert; Henriksen, Marie Bøe; Birkeland, Roger; Hjertenæs, Martine Aasen; Gjersvik, Amund; Johansen, Tor Arne; Agelet, Fernando Aguado; Navarro-Medina, Fermin (Peer reviewed; Journal article, 2022)
      Assembly, Integration, and Verification/Testing (AIV or AIT) is a standardized guideline for projects to ensure consistency throughout spacecraft development phases. The goal of establishing such a guideline is to assist ...
    • Prediction of Student's Performance With Learning Coefficients Using Regression Based Machine Learning Models 

      Asthana, Pallavi; Mishra, Sumita; Gupta, Nishu; Derawi, Mohammad; Kumar, Anil (Peer reviewed; Journal article, 2023)
      Advanced machine learning (ML) methods can predict student’s performance with key features based on academic, behavioral, and demographic data. Significant works have predicted the student’s performance based on the primary ...
    • Prediksjon av lydnivå på bakfasaden av en bygning når lydkilden er trafikkstøy 

      Østvik, Live (Master thesis, 2019)
      Denne studien presenterer en sammenligning mellom prediksjon av lydnivå på bakfasaden, den ''stille siden'', av en bygning beregnet i romakustikkprogrammet Odeon, Matlab-verktøykassen ED toolbox (Edge diffraction Matlab ...
    • Prediksjon av romakustiske forhold i rom med ujevn absorpsjonsfordeling 

      Straum, Håvard (Master thesis, 2012)
      SammendragDenne oppgaven ser på metoder for databasert prediksjon av spredningsfaktorer. Teorien bak dette har blitt presentert. Det har blitt utarbeidet en metode for å lage måleserier med impulsresponser langs en linje ...
    • Price-aware renewable energy management with transmission losses 

      Leithon, Johann; Werner, Stefan; Koivunen, Visa; Talebi, Sayed Pouria (Chapter, 2019)
      In this paper we propose a genie-aided strategy to optimize the use of renewable energy (RE) in a community of households with shared access to storage and RE generation facilities. The households are spread over a limited ...
    • A Primer on the Statistical Relation Between Wireless Ultra-Reliability and Location Estimation 

      Kallehauge, Tobias; Ramirez-Espinosa, Pablo; Kansanen, Kimmo; Wymeersch, Henk; Popovski, Petar (Peer reviewed; Journal article, 2022)
      Location information is often used as a proxy to infer the performance of a wireless communication link. Using a very simple model, this letter unveils a basic statistical relation between the location estimation uncertainty ...
    • Prioritizing health outcomes when assessing the effects of exposure to radiofrequency electromagnetic fields: A survey among experts 

      Verbeek, Jos; Oftedal, Gunnhild; Feychting, Maria; van Rongen, Eric; Rosaria Scarfì, Maria; Mann, Simon; Wong, Rachel; van Deventer, Emilie (Peer reviewed; Journal article, 2021)
      Exposure to radiofrequency (RF) electromagnetic fields (EMF) (frequencies of 100 kHz to 300 GHz) has been steadily increasing. In addition to heat-related effects of RF EMF, other yet-unspecified biological effects, might ...
    • Privacy-Preserved Distributed Learning With Zeroth-Order Optimization 

      Gratton, Cristiano; Kumar Dasanadoddi Venkategowda, Naveen; Arablouei, Reza; Werner, Stefan (Peer reviewed; Journal article, 2022)
      We develop a privacy-preserving distributed algorithm to minimize a regularized empirical risk function when the first-order information is not available and data is distributed over a multi-agent network. We employ a ...
    • Privacy-preserving distributed Kalman filtering 

      Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan (Journal article; Peer reviewed, 2022)
    • Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions 

      Gauthier, Francois; Gratton, Cristiano; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter, 2021)
      This paper develops a fully distributed differentially-private learning algorithm based on the alternating direction method of multipliers (ADMM) to solve nonsmooth optimization problems. We employ an approximation of the ...
    • Privacy-preserving distributed machine learning for artificial intelligence of things 

      Gratton, Cristiano (Doctoral theses at NTNU;2023:12, Doctoral thesis, 2023)
      This thesis proposes machine learning algorithms that can be fully distributed over ad-hoc networks of machines/agents. Developing distributed algorithms for artificial intelligence is necessary since running machine-lea ...
    • Privacy-Preserving Distributed Maximum Consensus 

      Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Peer reviewed; Journal article, 2020)
      We propose a privacy-preserving distributed maximum consensus algorithm where the local state of the agents and identity of the maximum state owner is kept private from adversaries. To that end, we reformulate the maximum ...
    • Privacy-preserving distributed precoder design for decentralized estimation 

      Dasanadoddi Venkategowda, Naveen Kumar; Werner, Stefan (Chapter, 2018)
      We study privacy-preserving precoder design for decentralized estimation in wireless sensor networks where the sensor nodes want their local information such as the channel state information, observation matrices, and ...
    • Processing Core for Compressing Wireless Data - The Enhancement of a RISC Microprocessor 

      Olufsen, Eskil Viksand (Master thesis, 2006)
      This thesis explores the ability of the proprietary Texas Instruments embedded 16 bits RISC microprocessor, NanoRisc, to process common lossless compression algorithms, and propose extensions in order to increase its ...
    • Processing Core for Compressing Wireless Data: The Enhancement of a RISC Microprocessor 

      Olufsen, Eskil Viksand (Master thesis, 2006)
      This thesis explores the ability of the proprietary Texas Instruments embedded 16 bits RISC microprocessor, NanoRisc, to process common lossless compression algorithms, and propose extensions in order to increase its ...