Viser treff 421-440 av 4870

    • Quantifying the variability of power and energy consumption for IoT edge nodes 

      Tofaily, Salma; Rais, Issam; Anshus, Otto Johan (Chapter; Bokkapittel, 2023)
      For IoT and edge systems, measuring, predicting and optimizing energy consumption is an open field. It is important to accurately and precisely characterize power and energy consumption of edge nodes, as energy can be a scarce and key resource. However, there are no fine-grain studies that aim at understanding the potential variability of power and energy consumption of edge nodes. Existing research ...
    • SARINOR WP 3 "SØK". (Norut rapport 11/2015) 

      Antonsen, yngve; Sivertsen, Agnar Holten; Grydeland, Tom; Johansen, Kjell-Sture; Storvold, Rune; Rognmo-Hodge, Andrew; Hagen, Snorre; Sørensen, Geir-Arne; Sydnes, Maria; Sydnes, Are K.; Hansen, Bernt Inge (Research report; Forskningsrapport, 2015)
      Arbeidet analyserer tilgjengelig søk og redningskapasitet (SAR), med fokus på søk, med sikte på å avdekke forbedringspunkter. Arbeidet er begrenset til Norges ansvarsområde i henhold til Arktisk råds avtale om søk og redning i Arktis. Redningshelikopter på SAR beredskap består av 2 AS332L1 AWSAR på Svalbard, et Sea King på Banak og et i Bodø. I tillegg har Bristow et EC225 AWSAR helikopter i Hammerfest. ...
    • Predicting in-hospital death from derived EHR trajectory features 

      Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Damås, Jan Kristian; Nytrø, Øystein (Chapter; Bokkapittel, 2023)
      Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective feature engineering from longitudinal historical medical records in this study to develop a dataset with derived features. We then train multiple machine learning models for the ...
    • Construction and Installation of the New CERN Proton Synchrotron Internal Beam Dumps 

      Andersen, Kristian G; Calviani, Marco; Cherif, Ahmed; Coiffet, Thibaut; De Macedo, Aurelio; Devidal, Sylvain; Geisser, Jean-Marie; Gilardoni, Simone S; Gillet, Martin; Grenier-Boley, Edouard; Heredia, Jorge; Majbour, Abdelhabib; Monnet, Franck; Monteserin, Manuel Redondas; Nuiry, Francois-Xavier; Pugnat, Dominique; Romagnoli, Giulia; Seraphin, Yann; Somoza, Jose; Thaus, Nicolas (Chapter; Bokkapittel, 2021-08-26)
      In the framework of the CERN Large Hadron Collider Injectors Upgrade (LIU) Project, the Proton Synchrotron (PS) has been equipped with two new movable Internal Dumps (PSID), each of them capable of absorbing particle beams of an energy of up to 100 kJ. These dumps replace the old Internal Dumps, which have been operated in the accelerator complex since their installation in 1975 until their ...
    • Autostrata: Improved Automatic Stratification for Coarsened Exact Matching 

      Arnes, Jo Inge; Hapfelmeier, Alexander; Horsch, Alexander (Chapter; Bokkapittel, 2022-08-22)
      We commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed ...
    • Selecting principal attributes in multimodal remote sensing for sea ice characterization 

      Khachatrian, Eduard; Chlaily, Saloua; Eltoft, Torbjørn; Marinoni, Andrea (Chapter; Bokkapittel, 2021)
      Automatic ice charting cannot be achieved using only SAR modalities. It is fundamental to combine information from other remote sensors with different characteristics for more reliable sea ice characterization. In this paper, we employ principal feature analysis (PFA) to select significant information from multimodal remote sensing data. PFA is a simple yet very effective approach that can be applied ...
    • The Beauty of Complex Designs 

      Arnes, Jo Inge; Bongo, Lars Ailo (Chapter; Bokkapittel, 2020-12-08)
      The increasing use of omics data in epidemiology enables many novel study designs, but also introduces challenges for data analysis. We describe the possibilities for systems epidemiological designs in the Norwegian Women and Cancer (NOWAC) study and show how the complexity of NOWAC enables many beautiful new study designs. We discuss the challenges of implementing designs and analyzing data. Finally, ...
    • LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification 

      Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (Chapter; Bokkapittel, 2021-02-21)
      Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. Organizations or individuals that cannot afford purchasing state-of-the-art hardware or tapping into cloud hosted infrastructures may face a long waiting time before the training ...
    • Cost-Efficient High-Resolution Linear Absorption Spectra Through Extrapolating the Dipole Moment from Real-Time Time-Dependent Electronic-Structure Theory 

      Hauge, Eirill Strand; Kristiansen, Håkon Emil; Konecny, Lukas; Kadek, Marius; Repisky, Michal; Pedersen, Thomas Bondo (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      We present a novel function fitting method for approximating the propagation of the time-dependent electric dipole moment from real-time electronic structure calculations. Real-time calculations of the electronic absorption spectrum require discrete Fourier transforms of the electric dipole moment. The spectral resolution is determined by the total propagation time, i.e. the trajectory length of the ...
    • Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure 

      Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (Chapter; Bokkapittel, 2023-02-02)
      The in vitro fertilization procedure called intracytoplasmic sperm injection can be used to help fertilize an egg by injecting a single sperm cell directly into the cytoplasm of the egg. In order to evaluate, refine and improve the method in the fertility clinic, the procedure is usually observed at the clinic. Alternatively, a video of the procedure can be examined and labeled in a time-consuming ...
    • Implementation of Sustainable Aviation Fuel. A PESTEL-analysis 

      Jakobsen, Søren; Laugesen, Simon (Master thesis; Mastergradsoppgave, 2023-06-30)
      Global climate changes are one of the greatest global threats affecting society. All sectors, from the largest ventures to the single individual, must aid in addressing and affecting these changes, resulting in a more sustainable and green future for the generations to come. Aviation currently stands for approximately 2.5% of global total anthropogenic CO2-emissions, which is rapidly climbing towards ...
    • Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks 

      Rognved, Olav; Hicks, Steven; Lasantha Bandara Thambawita, Vajira; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael A.; Halvorsen, Pål (Chapter; Bokkapittel, 2020)
      In this paper, we present an algorithm for automatically detecting events in soccer videos using 3D convolutional neural networks. The algorithm uses a sliding window approach to scan over a given video to detect events such as goals, yellow/red cards, and player substitutions. We test the method on three different datasets from SoccerNet, the Swedish Allsvenskan, and the Norwegian Eliteserien. ...
    • Detecting the linear and non-linear causal links for disturbances in the power grid 

      Foldvik Eikeland, Odin; Bianchi, Filippo Maria; Holmstrand, Inga Setsa; Bakkejord, Sigurd; Chiesa, Matteo (Chapter; Bokkapittel, 2021)
      Unscheduled power disturbances cause severe consequences for customers and grid operators. To avoid suchevents, it is important to identify the causes and localize the sources of the disturbances in the power distribution network. In this work, we focus on a specific power grid in the Arctic region of Northern Norway that experiences an increased frequency of failures of unspecified origin.
    • Advanced Data Analytics towards Energy Efficient and Emission Reduction Retrofit Technology Integration in Shipping 

      Perera, Lokukaluge Prasad; Ventikos, N P; Rolfsen, Sven; Öster, Anders (Chapter; Bokkapittel, 2021)
      An overview of integrating two energy efficient and emission reduction technologies to improve ship energy efficiency under advanced data analytics is presented in this study. The proposed technologies consist of developing engine and propulsion innovations that will be experimented under laboratory conditions and large-model-scale sea trials, respectively. These experiments will collect large ...
    • Centre for Ice, Cryosphere, Carbon and Climate (iC3). Closing large-scale uncertainty in Polar ice sheet impacts on the global carbon cycle 

      Wadham, Jemma Louise; Winsborrow, Monica Caroline Mackay; Souster, Terri Ann (Conference object; Konferansebidrag, 2023-09)
    • A time-transgressive perspective of glacial erosion and meltwater beneath the Eurasian ice sheet 

      Patton, Henry Jared; Hubbard, Alun Lloyd; Heyman, Jakob; Alexandropoulou, Nikolitsa; Lasabuda, Amando P. E.; Stroeven, Arjen P; Hall, Adrian; Winsborrow, Monica Caroline Mackay; Sugden, David A.; Kleman, Johan; Shackleton, Calvin; Da Silveira Ramos Esteves, Mariana; Bjarnadóttir, Lilja Rún; Andreassen, Karin Marie (Conference object; Konferansebidrag, 2023-08)
      The efficacy and controls governing glacial erosion over geological timescales are intricately linked yet remain poorly understood and contended. By assimilating geophysical data with modelling of the Eurasian Ice Sheet - the third largest Quaternary ice mass that spanned 49°N - 82°N - we decipher its erosional footprint during the last ~110 ka glacial cycle. Our results demonstrate extreme ...
    • Learning nanoscale motion patterns of vesicles in living cells 

      Sekh, Arif Ahmed; Opstad, Ida Sundvor; Birgisdottir, Åsa Birna; Myrmel, Truls; Ahluwalia, Balpreet Singh; Agarwal, Krishna; Prasad, Dilip K. (Chapter; Bokkapittel, 2020)
      Detecting and analyzing nanoscale motion patterns of vesicles, smaller than the microscope resolution (~250 nm), inside living biological cells is a challenging problem. State-of-the-art CV approaches based on detection, tracking, optical flow or deep learning perform poorly for this problem. We propose an integrative approach, built upon physics based simulations, nanoscopy algorithms, and shallow ...
    • A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs 

      Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Jenssen, Robert (Chapter; Bokkapittel, 2020)
      A large fraction of the electronic health records (EHRs) consists of clinical measurements collected over time, such as lab tests and vital signs, which provide important information about a patient’s health status. These sequences of clinical measurements are naturally represented as time series, characterized by multiple variables and large amounts of missing data, which complicate the analysis. ...
    • A Protocol for Single-Molecule Translation Imaging in Xenopus Retinal Ganglion Cells 

      Ströhl, Florian; Lin, Julie Qiaojin; Tartwijk, Francesca W. van; Wong, Hovy Ho Wai; Holt, Christine E.; Kaminski, Clemens F. (Chapter; Bokkapittel, 2020-04-29)
      Single-molecule translation imaging (SMTI) is a straightforward technique for the direct quantification of local protein synthesis. The protein of interest is fused to a fast-folding and fast-bleaching fluorescent protein, allowing one to monitor the appearance of individual fluorescence events after photobleaching of pre-existing proteins in the cell under investigation. The translation of individual ...
    • Lithium enrichment of the magmatic-hydrothermal fluid in albite-spodumene pegmatite from Lijiagou, Eastern Tibetan Plateau: Evidence from fluid inclusions 

      Yuan, Yabin; Chen, Bin; Shang, Linbo; Sendula, Eszter; Chou, I-Ming (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-19)
      Albite-spodumene pegmatites, which are remarkable resources of Li worldwide, may experience both magmatic-hydrothermal transition and sub-solidus hydrothermal alteration during their formation and evolution. However, fluids involved in the different stages of the evolution of a spodumene-bearing pegmatitic systems are not well defined, especially at the magmatic-hydrothermal transition stage. In the ...