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Optimization of dynamical systems towards criticality and intelligent behavior
(Doctoral theses at NTNU;2023:57, Doctoral thesis, 2023)With the progress of computing power, artificial intelligence (AI) systems are able to achieve outstanding results that surpass human-level performance on some tasks, such as image recognition. Mainstream AI systems are ... -
Optimization of Energy Consumption
(Bachelor thesis, 2022)Sammendrag Moelven ASA tørker trevirke på en industriell skala hvor tørkeprosessen er en tids- og energikrevende prosess. Moelvens nåværende løsning er basert på historisk arbeidserfaring, dette fører ofte til at treverket ... -
Optimization of Seed Selection for Information Diffusion with High Level Synthesis
(Master thesis, 2016)Information diffusion is where a message or data is passed from vertex to vertex in a network via edges. Information diffusion is often used for simulations in network research because it estimates how information propagates ... -
Optimization Techniques for Auto-tuning GPUs: An Empirical Study of Image-based GPU Kernels
(Master thesis, 2020)Med den moderne utviklingen av datamaskinarkitektur, spesielt med utviklingen av akseleratorer slik som GPUer(Graphics Processing Unit), så blir det stadig vanskeligere å skrive effektive programmer. Når disse arkitekturene ... -
Optimized deep learning-based cricket activity focused network and medium scale benchmark
(Peer reviewed; Journal article, 2023)The recognition of different activities in sports has gained attention in recent years for its applications in various athletic events, including soccer and cricket. Cricket, in particular, presents a challenging task for ... -
Optimized Deep-Learning-Based Method for Cattle Udder Traits Classification
(Peer reviewed; Journal article, 2022)We propose optimized deep learning (DL) models for automatic analysis of udder conformation traits of cattle. One of the traits is represented by supernumerary teats that is in excess of the normal number of teats. ... -
Optimized light source spectral power distribution for RGB camera based spectral reflectance recovery
(Peer reviewed; Journal article, 2021)The accuracy of recovered spectra from camera responses mainly depends on the spectral estimation algorithm used, the camera and filters selected, and the light source used to illuminate the object. We present and compare ... -
Optimizing & Parallelizing a Large Commercial Code for Modeling Oil-well Networks
(Master thesis, 2008)In this project, a complex, serial application that models networks of oil wells is analyzed for today's parallel architectures. By heavy use of the profiling tool Valgrind, several serial optimizations are achieved, causing ... -
Optimizing 3D Finite Difference Solvers for the Elastic Wave Equation for Modern GPUs
(Master thesis, 2022)Partielle Differensialligninger (PDEer) omfatter særdeles viktige matematiske verktøy for å modellere reelle fenomener slik som jordskjelv og bølgeforplantning. Finte Difference Metoden (FDM) er en numerisk metode som ... -
Optimizing a High Energy Physics (HEP) Toolkit on Heterogeneous Architectures
(Master thesis, 2011)A desired trend within high energy physics is to increase particle accelerator luminosities,leading to production of more collision data and higher probabilities of finding interestingphysics results. A central data analysis ... -
Optimizing Bio-Inspired Propulsion Systems using Genetic Algorithms
(Master thesis, 2017)Optimization is an important part of the development of an efficient propulsion system. The biomimetic marine propulsion system referred to as an oscillating foil has recently seen an upswing in interest. The optimization ... -
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing
(Peer reviewed; Journal article, 2019)Matrix-matrix multiplication is a key computational kernel for numerous applications in science and engineering, with ample parallelism and data locality that lends itself well to high-performance implementations. Many ... -
Optimizing Echo State Networks for Learning Temporal Sequences
(Master thesis, 2009)Echo state networks are a new type of artificial neural network. It is created of a recurrent neural network with input, output and back weights. What separates echo state networks from other recurrent neural networks is ... -
Optimizing for Energy in High-Level Programming Languages on Embedded Devices
(Master thesis, 2015)The use of embedded systems has exploded recently, and thus also the number of developers for embedded systems. But the traditional way of programming embedded computers is hard and error prone, and the use of high-level ... -
Optimizing Gesture Recognition: A comparison of hidden Markov models and linear gesture recognition
(Master thesis, 2013)This thesis aims to compare a simple linear recognition algorithm to that ofthe well proven and reliable Hidden Markov Model. It implements a gesturerecognition system able to recognize gestures using both algorithms and ... -
Optimizing Inter-Service Communication Between Microservices
(Master thesis, 2017)The microservice pattern is a new alternative to architecting back-end systems. Instead of building large, monolithic systems that lead to issues related to scalability, maintainability and extensibility, systems are built ... -
Optimizing Power and Energy Efficiency in Cloud Computing
(Chapter, 2019)With the exponential growth in cloud computing data centers, power consumption due to the use of physical and virtual machines is becoming a challenge. The amount of power consumed by these systems is increasing day by ... -
Optimizing routes for snow plowing in Trondheim using evolutionary algorithms
(Master thesis, 2015)In this thesis route optimization for snow plowing in Trondheim municipality (Norway) is explored. It is modeled as a node, edge, and arc routing problem, which has been shown to be NP-hard. To generate the routes a memetic ... -
Optimizing visual analytics capabilities to reinforce information awareness
(Master thesis, 2017)Computer science and informatics are one of the industries which is in constant change. The trends and needs of this industry changes sometimes faster than the curriculum at the universities. The Norwegian University of ... -
OptiNet: AMD Detection Network
(Master thesis, 2019)Det medisinske fagfeltet utforsker flere og flere automatiske teknikker for å hjelpe fagpersoner i sitt arbeid. I de siste årene, har kunstige nevrale nettverk funnet suksess i et stort antall fagfelt med ytelse på likt ...