Blar i Institutt for elektroniske systemer på tittel

Deep Learning Based FPGA-CPU Acceleration

Jalabert, Rodolfo (Master thesis, 2019)

Formålet med dette prosjektet er å fortsette å utforske nye måter å akselerere sequentialcomputer kode, og finne ut om maskinens læringsteknikker tilgjengelig i dag er i stand til å hjelpe oss med denne oppgaven. Kjerneideen ...

Deep Learning Based People Estimation on 2D Ultra-Wideband Radar Data

Nguyen, Christian Danh (Master thesis, 2023)

Denne masteroppgaven undersøker ytelsen til tre typer maskinlæringsmodeller, Convolutional Neural Network (CNN), Residual Network (ResNet), og Convolutional Neural Network med Gated Recurrent Units (CNN+GRU), i oppgaven ...

Deep Learning Based Ultrasound Volume Registration for Interventional Applications

Røise, Kristoffer (Master thesis, 2020)

Med den nylige utviklingen av ny teknologi kan minimalt invasive intervensjoner utføres med like gode utfall sammenlignet med konvensjonell åpen hjertekirurgi. Den økende aksepten for perkutane kateterbaserte intervensjoner ...

Deep Learning for Deformation Analysis in Echocardiography

Seljelv, Sigvard Johansen (Master thesis, 2021)

Hjartesjukdom er ei av dei leiande dødsårsakene i verda. Tidleg deteksjon av risikofaktorar er avgjerande for effektiv og nøyaktig behandling. I dag blir undersøkingar av pasientar oftast utført ved hjelp av hjarte-ultralyd, ...

Deep Learning for Polyp Detection from Synthetic Narrow-Band Imaging

Haugland, Mathias Ramm (Master thesis, 2022)

Kolorektal kreft (CRC) har blitt en utbredt krefttype i utviklide land, og screeningprogrammer har blitt populære på grunn av sin beviselig preventive effekt. Koloskopi er ansett som den beste screeningmetoden for CRC, og ...

Deep Learning-Based Vehicle Classification for Low Quality Images

Tas, Sumeyra; Sari, Ozgen; Dalveren, Yaser; Pazar, Senol; Kara, Ali; Derawi, Mohammad (Peer reviewed; Journal article, 2022)

This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene. ...

Deep Neural Network Inference Acceleration: FPGA vs. GPU

Snarli, Alexander (Master thesis, 2022)

De siste årene har dype nevrale nettverk stadig blitt tatt mer i bruk i en stor variasjon av industrier, for å utnytte det store potensiale maskinlæringsteknologi tar med seg i form av effektivitet av databehandling. En ...

Defect Pixel Correction

Næs, Eirik Skogestad (Master thesis, 2010)

A problem with image sensors today, is that they contain defect pixels. By utilizing an image processing algorithm for defect pixel correction, image quality can be increased and costs per produced sensor can be reduced.This ...

Defective Pixel Correction

Backe-Hansen, Henrik (Master thesis, 2010)

When using CMOS technology for image sensors, there is a possibility that any givenpixel is defective and will thus produce a value that does not correlate to the amount oflight it was subject to. As such, the processing ...

Delay-Fault BIST in Low-Power CMOS Devices

Leistad, Tor Erik (Master thesis, 2008)

Devices such as microcontrollers are often required to operate across a wide range of voltage and temperature. Delay variation in different temperature and voltage corners can be large, and for deep submicron geometries ...

Delta Sigma Modulators with Beamformers for Application in Medical Ultrasound Imaging

Kaald, Rune (Doctoral theses at NTNU;2017:52, Doctoral thesis, 2017)

Portable medical ultrasound solutions require a high degree of compactness and low power consumption, without sacrificing image quality. In this dissertation we investigate the feasibility of employing a continuous time ...

Demonstration of Spatial Interweave Cognitive Radio

Sørby, Torbjørn (Master thesis, 2010)

In the last few decades the number of wireless communication systems has grown exponentially making the electromagnetic spectrum more and more crowded. One approach to solve the problem is through Cognitive Radio. This ...

Demping av maskinstøy for mikrofon montert på utsiden av kjøretøy

Mølmshaug, Torstein (Master thesis, 2012)

Målinger, analyse og filtrering av maskinstøy fra et militært kjøretøy, der hovedfokuset i oppgaven er å skape best mulige forhold for forståelse av tale.

Density functional theory investigations of octahedral connectivity in [001] and [111] directional perovskite superlattices

Wehn, Eirin Mærk (Master thesis, 2018)

To be able to exploit the magnetic properties of antiferromagnetic transition metal oxide perovskites in spintronic devices, as magnetic random access memory (MRAM) devices, a better understanding of how these magnetic ...

A Description of ICNIRP’s Independent, Best Practice System of Guidance on the Protection of People and the Environment from Exposure to Non-Ionizing Radiation

Karipidis, Ken; Croft, Rodney; von Rongen, Eric; Cestari, Tania; Cridland, Nigel; d'Inzeo, Guglielmo; Hirata, Akimasa; Huss, Anke; Marino, Carmela; Miller, Sharon; Oftedal, Gunnhild; Okuno, Tsutomu; Röösli, Martin; Watanabe, Soichi; Ziegelberger, Gunde; Chabrel, Karine (Peer reviewed; Journal article, 2022)

In this statement, the International Commission on Non-Ionizing Radiation Protection (ICNIRP) presents its structure, its activities, and general approach to providing guidance on NIR protection. The statement highlights ...