Browsing Institutt for IKT og realfag by Title
Now showing items 120-139 of 614
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Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway
(Journal article; Peer reviewed, 2018)Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known before water undergoes treatment, since analysis takes approximately 24 h to produce results. Using data on water quality and ... -
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis
(Peer reviewed; Journal article, 2021)Iconography studies the visual content of artworks by considering the themes portrayedin them and their representation. Computer Vision has been used to identify iconographic subjectsin paintings and Convolutional Neural ... -
Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply
(Chapter, 2017)Monitoring of Norovirus in drinking water supply is a complicated, rather expensive, process. Norovirus represent a leading cause of acute gastroenteritis in most developed countries. Modeling of general microbial occurrence ... -
A Comparison of GA Crossover and Mutation Methods for the Traveling Salesman Problem
(Peer reviewed; Journal article, 2021)The traveling salesman problem is a very popular combinatorial optimization problem in fields such as computer science, operations research, mathematics and optimization theory. Given a list of cities and the distances ... -
Compensation of pendulum motion in maritime crane operations
(Bachelor thesis, 2022)Denne rapporten omhandler utvikling av en prototype, med et formål å undersøke kompensasjon for nyttelastsving på en maritim kran. Rapporten beskriver hvordan flere komponenter er implementert for å produsere prototypen ... -
Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match
(Peer reviewed; Journal article, 2021)This study investigated the efects of inspiratory muscle pre-activation (IMPA) on the interactions among the technical-tactical, physical, physiological, and psychophysiological parameters in a simulated judo match, based ... -
Complex Network Model Reveals the Impact of Inspiratory Muscle Pre-Activation on Interactions among Physiological Responses and Muscle Oxygenation during Running and Passive Recovery
(Peer reviewed; Journal article, 2022)Simple Summary Different warm-ups can be used to improve physical and sports performance. Among these strategies, we can include the pre-activation of the inspiratory muscles. Our study aimed to investigate this pre-activation ... -
Component-Based Simulator for Modelling the Design and Dynamics of Modular Robots
(Master thesis, 2018)This project presents the design of a component-based simulator used for modelling the design and movement of chain-based modular robots. This work is in collaboration with NTNU Ålesund and implemented in the Unity® game ... -
A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences
(Peer reviewed; Journal article, 2020)The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ... -
A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review
(Peer reviewed; Journal article, 2021)According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ... -
Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review
(Peer reviewed; Journal article, 2022)Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The ... -
Computer-Aided Diagnostics: Segmentation of Knee Joint Anatomy Using Deep Learning Techniques
(Master thesis, 2019)Segmentering er prosessen i å dele bilder inn i flere meningsfulle deler og regioner medlignende egenskaper. Bildesegmentering er sterkt utnyttet i medisinsk bildebehandling,og gjør det mulig for leger å få ekstra diagnostisk ... -
Computer-aided quality control of whitefish fillets
(Bachelor thesis, 2018)Computer-aided quality control of whitefish fillets is a bachelor assignment made for automation students at NTNU in Aalesund. The assignment was given by the company Optimar, a company with vast experience in creating ... -
A Conceptual Model Of An IOT-Based Smart And Sustainable Solid Waste Management System: A case Study Of A Norwegian Municipality
(Chapter, 2020)The core processes of waste management have been changed during the last few decades. Through advanced technologies, sensors, cameras, actuators, IoT controls, data driven and data transfer technologies, the old and ... -
Connectivity of underwater cognitive acoustic networks under spectrum constraint
(Chapter, 2018)There is an extensive attention on underwater cognitive acoustic networks (UCANs) since acoustic spectrum becomes deficient owning to the proliferation of human activity in ocean. This paper presents an overview of our ... -
Contextual movement models based on normalizing flows
(Journal article; Peer reviewed, 2021)Movement models predict positions of players (or objects in general) over time and are thus key to analyzing spatiotemporal data as it is often used in sports analytics. Existing movement models are either designed from ... -
Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players
(Peer reviewed; Journal article, 2020)Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ... -
CosmoAI: A study of gravitational lensing through simulation and machine learning
(Bachelor thesis, 2022)Gravitasjonslinsing brukes som et verktøy for å lokalisere og kartlegge mørk materie i universet. Gjennom Roulette-formalismen håper man at informasjon i linsen kan tolkes ved hjelp av ett felles matematisk rammeverk. ... -
Coverage Path Planning for Seabed Mapping using Autonomous Surface Vehicles
(Master thesis, 2019)The topic in this thesis is about path-planning for seabed mapping utilizing an autonomous surface vehicle with a sonar. In order for the path to be considered efficient, the depth and the characteristics of the sonar needs ... -
Cross-subject EEG linear domain adaption based on batch normalization and depthwise convolutional neural network
(Journal article; Peer reviewed, 2023)Electroencephalogram (EEG)-based emotion recognition has been widely used in affective computing. However, the study on improving recognition accuracy across individuals is insufficient. In this study, a new linear domain ...