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  • Multiplexed Mach-Zehnder interferometer assisted ring resonator sensor 

    Yadav, Mukesh; Aksnes, Astrid (Peer reviewed; Journal article, 2022)
    A Mach-Zehnder interferometer assisted ring resonator configuration (MARC)-based multiplexed photonic sensor with a large measurement range is experimentally demonstrated. The presented MARC sensor consists of a balanced ...
  • Shear-Wave Tomography Using Ocean Ambient Noise with Interference 

    Wu, Guoli; Dong, Hefeng; Ke, Ganpan; Song, Junqiang (Peer reviewed; Journal article, 2020)
    Ambient noise carries abundant subsurface structure information and attracts ever-increasing attention in the past decades. However, there are lots of interference factors in the ambient noise in the real world, making the ...
  • Securing Next Generation Multinodal Leadless Cardiac Pacemaker System: A Proof of Concept in a Single Animal 

    Awan, Muhammad Faheem; Cordero, Rafael; Kansanen, Kimmo; Feuerstein, Delphine (Peer reviewed; Journal article, 2020)
    As the next generation of implanted medical devices for cardiac rhythm management moves towards multi-nodal leadless systems that do without the limitations of transvenous leads, new security threats arise from the wireless ...
  • Plasmonic FET Terahertz Spectrometer 

    Liu, Xueqing; Ytterdal, Trond; Shur, Michael S. (Peer reviewed; Journal article, 2020)
    We show that Si MOSFETs, AlGaN/GaN HEMTs, AlGaAs/InGaAs HEMTs, and p-diamond FETs with feature sizes ranging from 20 nm to 130 nm could operate at room temperature as THz spectrometers in the frequency range from 110 GHz ...
  • Record thermopower found in an IrMn-based spintronic stack 

    Tu, Sa; Ziman, Timothy; Yu, Guoqiang; Wan, Caihua; Hu, Junfeng; Wu, Hao; Wang, Hanchen; Liu, Mengchao; Liu, Chuanpu; Guo, Chenyang; Zhang, Jianyu; Cabero Z., Marco A.; Zhang, Youguang; Gao, Peng; Liu, Song; Yu, Dapeng; Han, Xiufeng; Hallsteinsen, Ingrid; Gilbert, Dustin A.; Matsuo, Mamoru; Ohnuma, Yuichi; Wölfle, Peter; Wang, Kang L.; Ansermet, Jean-Philippe; Maekawa, Sadamichi; Yu, Haiming (Peer reviewed; Journal article, 2020)
    The Seebeck effect converts thermal gradients into electricity. As an approach to power technologies in the current Internet-of-Things era, on-chip energy harvesting is highly attractive, and to be effective, demands thin ...
  • Carbon Nanotube Detectors and Spectrometers for the Terahertz Range 

    Park, Junsung; Liu, Xueqing; Ytterdal, Trond; Shur, Michael S. (Peer reviewed; Journal article, 2020)
    We present the compact unified charge control model (UCCM) for carbon nanotube field-effect transistors (CNTFETs) to enable the accurate simulation of the DC characteristics and plasmonic terahertz (THz) response in the ...
  • Patient specific strategies to enhance leadless pacemaker lifetime in synchronized dual chamber system 

    Palaksha, Deepak; Kansanen, Kimmo; Filippo, Ziglio; Bergsland, Jacob; Balasingham, Ilangko; Feuerstein, Delphine (Peer reviewed; Journal article, 2020)
    Dual chamber leadless pacemakers are multi-unit, battery-driven implants utilized for treating patients with bradyarrhythmias and sino-atrial dysfunctions. Establishing synchronization between the units provides coordination ...
  • In-orbit Radio Measurements using Software-Defined Radios in Small Satellites 

    Diaz, Gara Quintana (Doctoral theses at NTNU;2022:117, Doctoral thesis, 2022)
  • 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 ...
  • Next generation geophysical sensing: exploring a new wave of geophysical technologies for the energy transition 

    Ringrose, Philip; Landrø, Martin; Potter, John; Eidsvik, Jo; Wienecke, Susann; Bouffaut, Léa; Oye, Volker; Dong, Hefeng; Elster, Anne C.; Johansen, Ståle Emil (Peer reviewed; Journal article, 2021)
  • Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants 

    Muri, Harald Ian; Hjelme, Dag Roar (Peer reviewed; Journal article, 2021)
    Reuse, refurbishing, and recycling are the most sustainable options for handling waste materials. However, for municipal solid waste (MSW) that is highly heterogenic, crude, contaminated, and decrepit, thermal conversion ...
  • Comparing objective and subjective measures of quality on a machine learning based foreground extractor 

    Paulsen, Peter Remøy (Master thesis, 2022)
    Dei siste tiåra har tradisjonelle TV-sjåartal gått nedover. AdMiRe-prosjektet skal prøve å overvinne dette ved å gjere det enklare å lage meir engasjerande TV. Dette skal gjerast ved å forenkle nøkkel-teknologimodular, og ...
  • Graphene-Based Transparent Conducting Substrates for GaN/AlGaN Nanocolumn Flip-Chip Ultraviolet Light-Emitting Diodes 

    Liudi Mulyo, Andreas; Mukherjee, Anjan; Høiaas, Ida Marie; Ahtapodov, Lyubomir; Nilsen, Tron Arne; Toftevaag, Håvard Hem; Vullum, Per Erik; Kishino, Katsumi; Weman, Helge; Fimland, Bjørn-Ove (Journal article; Peer reviewed, 2021)
    Flip-chip ultraviolet light-emitting diodes based on self-assembled GaN/AlGaN nanocolumns have been fabricated, exploiting single-layer graphene not only as a growth substrate but also as a transparent conducting electrode. ...
  • Methods for Finite Massive MIMO Analysis 

    Abraham, Jens (Doctoral thesis, 2022)
    Massive MIMO is a core technology for 5G cellular networks, that matured from a concept to commercial implementations over the last decade. It uses large-scale antenna systems to provide unprecedented access to the spatial ...
  • Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario 

    Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Chapter, 2021)
    In this work, we present a spatio-temporal decision fusion approach aimed at performing quickest detection of faults within an Oil and Gas subsea production system. Specifically, a sensor network collectively monitors the ...
  • Detecting minute amounts of nitrogen in GaNAs thin films using STEM and CBED 

    Vatanparast, Maryam; Shao, Yu-Tsun; Rajpalke, Mohana; Fimland, Bjørn-Ove; Reenaas, Turid Dory; Holmestad, Randi; Vullum, Per Erik; Zuo, Jian Min (Journal article; Peer reviewed, 2021)
    Nitrogen (N) is a common element added to GaAs for band gap engineering and strain compensation. However, detection of small amounts of N is difficult for electron microscopy as well as for other chemical analysis techniques. ...
  • Securing the Distributed Kalman Filter Against Curious Agents 

    Moradi, Ashkan; Dasanadoddi Venkategowda, Naveen Kumar; Talebi, Sayedpouria; Werner, Stefan (Chapter, 2021)
    Distributed filtering techniques have emerged as the dominant and most prolific class of filters used in modern monitoring and surveillance applications, such as smart grids. As these techniques rely on information sharing ...
  • Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation 

    Gelderblom, Femke B.; Myrvoll, Tor Andre (Chapter, 2021)
    This paper proposes a neural network based system for multi-channel speech enhancement and dereverberation. Speech recorded indoors by a far field microphone, is invariably degraded by noise and reflections. Recent single ...
  • Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning 

    Gratton, Cristiano; Kumar Dasanadoddi Venkategowda, Naveen; Arablouei, Reza; Werner, Stefan (Chapter, 2021)
    We develop a new algorithm for distributed learning with non-smooth regularizers and feature partitioning. To this end, we transform the underlying optimization problem into a suitable dual form and solve it using the ...
  • Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters 

    D'Avila Barros, Bettina; Kumar Dasanadoddi Venkategowda, Naveen; Werner, Stefan (Chapter, 2021)
    This paper considers a multivariate quickest detection problem with false data injection (FDI) attacks in internet of things (IoT) systems. We derive a sequential generalized likelihood ratio test (GLRT) for zero-mean ...

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