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Implementation of Embedded Inertial Measurement System using Redundant Low Cost Inertial Sensors
(Master thesis, 2015)In this work, theoretical, hardware and software implementation for an embedded inertial measurement unit that fuses the data signal from 4 redundant sets of low-cost tri-axial accelerometer/gyroscope inertial sensors to ... -
Implementation of Mapping and Navigation on an Autonomous Robot
(Master thesis, 2018)In this thesis functionality for mapping has been implemented in the NXT robot, so that it can perform this task independently of the server application. The structure of the robot application has been modified to accommodate ... -
Implementation of mesh communication between a server and small autonomous mobile robots
(Master thesis, 2021)Denne oppgaven har fortsatt arbeidet utført av Halvorsen 2021 på en robot basert på Arduino Mega som omhandlet å kartlegge et ukjent område. Oppgaven har også fortsatt arbeidet gjort av Blom 2020 og Grønvold 2021 som ... -
Implementation of power conservation in IoT devices using mesh network
(Master thesis, 2022)Energisparing er avgjørende for enheter i Tingenes Internett. I denne oppgaven brukes sauesporing som et scenario for å undersøke muligheten for energisparing, ved å bruke et lav-energi mesh-nettverk sammen med en lav-energi ... -
Implementation of Simultaneous Localisation and Mapping in Robotic System using the improved Rao-Blackwellized Particle Filter
(Master thesis, 2020)Denne oppgaven fortsetter arbeidet utført av Blom (2020). Prosjektet handler om å produsere en server på et C++ Thread-nettverk som samarbeider med flere LEGO roboter for å løse Simultaneous Localisation and Mapping (SLAM) ... -
Implementere APT - modellen i CellML og tilhørende simuleringsverktøy.
(Master thesis, 2017)Oppgaven tar for seg et raskt overblikk over APT - modellen implementert i MatLab. Før den går inn på egenskaper ved CellML. Hvordan et CellML - dokument skal bygges opp. Det er introdusert noen standard softwares for å ... -
Implementering av et PLS-basert fjernstyringssystem for ubemannede overflatefartøy (USV)
(Bachelor thesis, 2023)Bacheloroppgaven tar for seg utvikling og implementering av et IP-basert fjernstyringssytem for en unmanned surface vehicle (USV). Det er også sett på mulighetene for å kjøre Maritime Robotics (MR) sitt OBS på en PLS ved ... -
Implementing an AAS for a Siemens motor control system
(Master thesis, 2023)Denne masteroppgaven dekker implementasjonen av et AAS for et Siemens motor kontrollsystem. Implementasjonen går ut på å lage selve AAS-ene og deretter etablere sanntids kommunikasjon mellom AAS-ene og kontrollsystemet. ... -
Implementing an Out-of-Office Notification System
(Master thesis, 2013)This thesis takes the reader through the process of making an idea into a prototype. An out-of-office notification system, aimed to help office workers notify coworkers about their absence, is implemented with custom-made ... -
Implementing Bluetooth LE on a MATLAB controlled nRF52840 robot
(Master thesis, 2022)Robotprosjektet består av flere roboter som jobber sammen med en serverapplikasjon skrevet i Java for å kartlegge et område. Som del av dette prosjektet eksisterer MATLAB-roboten. Denne roboten er basert på et nRF52840-DK ... -
Implementing Controller Strategies in FPGA
(Master thesis, 2009)In todays industrial applications there is an increasing demand for good control algorithms and implementions. This may be because of increased competition leading to smaller economic margins, safety reasons or even ... -
Implementing ISA-100.11a
(Master thesis, 2011)The International Society of Automation (ISA) released ISA-100.11a on September 9, 2010. ISA-100.11a is an open wireless industrial sensor network standard based on the IEEE 802.15.4 low-rate wireless personal area network ... -
Implementing the next generation of the Methodical Accelerator Design language using LuaJIT
(Master thesis, 2014)To further the boundaries of human knowledge, physicists at CERN use large particle accelerators to smash elementary particles together at high energies. To design these accelerators, the physicists need a language specially ... -
Implementing Ultrasound Beamforming on the GPU using CUDA
(Master thesis, 2008)This thesis discusses the implementation of ultrasound beamforming on the GPU using CUDA. Fractional delay filters and the need for it when implementing beamforming is discussed. An introduction to CUDA programming is given ... -
Implications of single-stage deep learning networks in real-time zooplankton identification
(Peer reviewed; Journal article, 2023)Zooplankton are key ecological components of the marine food web. Currently, laboratory-based methods of zooplankton identification are manual, time-consuming, prone to human error and require expert taxonomists. Therefore, ... -
Improved automated singulation of pelagic fish: Novel engineering and prior art construction - Design, Analysis and ecperiments
(Master thesis, 2012)In this master thesis a project on how to singulate fish was conducted. The master contains a short literature study of singulation operations, a novel concept - built both as a prior arts model and a prototype. The ... -
Improved Jacobian matrix estimation applied to snake robots
(Peer reviewed; Journal article, 2023)Two manipulator Jacobian matrix estimators for constrained planar snake robots are developed and tested, which enables the implementation of Jacobian-based obstacle-aided locomotion (OAL) control schemes. These schemes use ... -
Improved Kick and Loss Detection and Attenuation in Managed Pressure Drilling by Utilizing Wired Drill Pipe
(Journal article; Peer reviewed, 2018)A model based method for kick and loss detection and attenuation in Managed Pressure Drilling is presented. The drilling system is modeled as a distributed parameter system combined with a reservoir flow equation containing ... -
Improved Macroeconomic Control with Electronic Money and Modern Monetary Theory
(Journal article; Peer reviewed, 2013) -
Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words
(Master thesis, 2022)Autonome fartøy er avhengig av intelligente beslutningsalgoritmer basert på maskinlæring. En stor fordel innen maskinlæring er at dype nettverk utvikler seg mot å bli kraftfulle verktøy innen objekt deteksjon. Dype nettverk ...