Browsing Institutt for IKT og realfag by Title
Now showing items 274-293 of 525
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Large scale integration of wireless sensor network technologies for air quality monitoring at a logistics shipping base
(Journal article; Peer reviewed, 2018)The future of logistics shipping bases will be to seek efficient flows of materials to meet the needs of business partners. Supply chain and operations managers of supply bases will need to integrate technologies that allow ... -
Laser assisted optical gap detection
(Bachelor thesis, 2019)Utvikling av et system for å detektere gap/skillet mellom pakker i et varehus ved hjelp av line-laser og kamera. -
Laststyring for å redusere nettbelastning
(Bachelor thesis, 2021)I denne bacheloroppgaven blir det undersøkt løsninger for å redusere effekttopper i strømforbruket til forskjellige bygg. Oppgaven er gitt av Norconsult. De har bistått med informasjon som gjør at det kunne ses på løsninger ... -
Learning cost function for graph classification with open-set methods
(Journal article; Peer reviewed, 2019)In several pattern recognition problems, effective graph matching is of paramount importance. In this paper, we introduce a novel framework to learn discriminative cost functions. These cost functions are embedded into a ... -
Learning the Morphological and Syntactic Grammars for Named Entity Recognition
(Journal article; Peer reviewed, 2022)In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning. This work ... -
Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study
(Journal article; Peer reviewed, 2023)Computer science graduates face a massive gap between industry-relevant skills and those learned at school. Industry practitioners often counter a huge challenge when moving from academics to industry, requiring a completely ... -
Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study
(Peer reviewed; Journal article, 2023)Computer science graduates face a massive gap between industry-relevant skills and those learned at school. Industry practitioners often counter a huge challenge when moving from academics to industry, requiring a completely ... -
Light Column System
(Bachelor thesis, 2021)Denne oppgaven består av forskning og utvikling av et Lyskolonne System (LCS) for Vard Electro AS. LCS er en samling av lyd- og optisk varslingssystem for alarmer om bord i fartøy, og er plassert i bråkete områder av ... -
Line follower robot
(Bachelor thesis, 2023)Dette prosjektet omfattet utviklingen og forbedringen av en autonom linjefølgende robot for deltakelse i Latvian Robot Competition. Roboten konkurrerte i Latvian Robot Competition. For å kunne konkurrere ble teknikker som ... -
Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
(Journal article; Peer reviewed, 2017)Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent ... -
Linking partnering success factors to project performance - Findings from two nation-wide surveys
(Peer reviewed; Journal article, 2021)In this article we present findings from an investigation into the influence of partnering success factors on multi-partner projects’ abilities to meet time schedule, budget, and technical specifications. Our findings are ... -
Litter Detection with Deep Learning: A Comparative Study
(Peer reviewed; Journal article, 2022)Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can help assess waste occurrences in the environment. Different machine learning solutions ... -
Load Frequency Control and Automatic Voltage Regulation in a Multi-Area Interconnected Power System Using Nature-Inspired Computation-Based Control Methodology
(Peer reviewed; Journal article, 2022)The stability control of nominal frequency and terminal voltage in an interconnected power system (IPS) is always a challenging task for researchers. The load variation or any disturbance affects the active and reactive ... -
Location of obecjt with help of sound triangulation
(Bachelor thesis, 2023)Kongsberg Maritime has expressed interest in using sound to automate boat location tracking. The bachelor group is entrusted with doing research into efficient ways to carry out this. The thesis will simulate a boat that ... -
Lyskolonne
(Bachelor thesis, 2019)Vard Electro AS er en av verdens største selskaper innenfor spesialiserte fartøy. Med sin maritime kompetanse tilbyr de høyteknologiske teknologiske løsninger. Blant annet installerer de alarmsystemer. Disse er bygget som ... -
A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism
(Peer reviewed; Journal article, 2022)In this paper, we address the problems of fraud and anomalies in the Bitcoin network. These are common problems in e-banking and online transactions. However, as the financial sector evolves, so do the methods for fraud ... -
Machine Learning for Automatically Counting Growth-Stunted Fish in Sea Cages
(Master thesis, 2023)Lakseoppdrettsmerder inneholder ofte et stort antall veksthindrede fisk omtalt som "taperfisk". Tilstedeværelsen av taperfisk kan indikere utilstrekkelige velferdsfaktorer eller sykdommer. Ved å overvåke forekomsten av ... -
A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources
(Peer reviewed; Journal article, 2022)A decentralized power grid is a modern system that implements demand response without requiring major infrastructure changes. In decentralization, the consumers regulate their electricity demand autonomously based on the ... -
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
(Peer reviewed; Journal article, 2021)Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ... -
Man/machine interaction through EEG
(Bachelor thesis, 2015)This report has the objective of describing the process of creating a virtual reality game environment that allows the user to practice BCI (Brain Computer Interface) through controlling a BCI enabled wheelchair. It ...