Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Title
Now showing items 19503-19522 of 20725
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Uncertainty principle via variational calculus on modulation spaces
(Journal article; Peer reviewed, 2022)We approach uncertainty principles of Cowling-Price-Heis-enberg-type as a variational principle on modulation spaces. In our discussion we are naturally led to compact localization operators with symbols in modulation ... -
Uncertainty Principles in Time-Frequency Analysis – Fractals and Schrödinger Evolutions
(Doctoral theses at NTNU;2023:162, Doctoral thesis, 2023)In this thesis we study two uncertainty principles from the perspective of timefrequency analysis. The first part, to which a significant portion is dedicated, is concerned with deriving an analog in the joint time-frequency ... -
Uncertainty propagation through a point model for steady-state two-phase pipe flow
(Peer reviewed; Journal article, 2020)Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present ... -
Uncertainty-Aware Autonomous Sensing with Deep Reinforcement Learnings
(Doctoral theses at NTNU;2023:64, Doctoral thesis, 2023)The goal of many Internet of Things (IoT) sensing applications, such as environmental monitoring, is to support decision-making by providing valuable information about various phenomena. One approach to achieve this goal ... -
Uncertainty-Aware Visually-Attentive Navigation Using Deep Neural Networks
(Peer reviewed; Journal article, 2023)Autonomous navigation and information gathering in challenging environments are demanding since the robot’s sensors may be susceptible to non-negligible noise, its localization and mapping may be subject to significant ... -
Unconditionally Secure NIZK in the Fine-Grained Setting
(Peer reviewed; Journal article, 2022)Non-interactive zero-knowledge (NIZK) proof systems are often constructed based on cryptographic assumptions. In this paper, we propose the first unconditionally secure NIZK system in the AC0 -fine-grained setting. More ... -
Unconventional Biometrics
(Doctoral theses at NTNU;2020:262, Doctoral thesis, 2020)This thesis is a paper collection that focuses on unconventional methods of biometric recognition. Four new approaches are presented and discussed. The first two introduce and explore the concepts behind transient biometrics. ... -
Uncovering Patterns in Teleconference Call Data: An Analysis using Clustering Method
(Master thesis, 2023)Videokonferanser har blitt en integrert del av vår kommunikasjonslandskap, spesielt i sammenheng med fjernarbeid og virtuelle samarbeid. Behovet for å undersøke lyd- og videokvaliteten i videokonferansesamtaler har blitt ... -
Uncovering Software Vulnerabilities Using Source Code Analysis and Fuzzing
(Bachelor thesis, 2024)Målet med denne oppgaven er å utforske hvordan statisk kildekodeanalyse og fuzzing kan brukes til å avdekke sårbarheter i programmer skrevet i et lavnivåspråk. I denne oppgaven vil vi gjennomføre en penetrasjonstest av ... -
Uncovering the dark side of AI-based decision-making: A case study in a B2B context
(Peer reviewed; Journal article, 2023)Over the last decade, many organizations worldwide have been assimilating Artificial Intelligence (AI) technologies to increase their productivity and attain a competitive advantage. As with any technology, intelligence ... -
Uncovering the drivers of host-associated microbiota with joint species distribution modelling
(Journal article; Peer reviewed, 2018)In addition to the processes structuring free‐living communities, host‐associated microbiota are directly or indirectly shaped by the host. Therefore, microbiota data have a hierarchical structure where samples are nested ... -
Uncovering the Educational Data Mining Landscape and Future Perspective: A Comprehensive Analysis
(Journal article; Peer reviewed, 2023)Educational data mining (EDM) enables improving educational systems by using data mining techniques on educational data to analyze students’ learning processes to extract valuable information that helps optimize teaching ... -
Under the sea: How can we use heart rate and accelerometers to remotely assess fish welfare in salmon aquaculture?
(Peer reviewed; Journal article, 2023)Recent advances in bio-sensing technologies open for new possibilities to monitor and safeguard the welfare of fishes in aquaculture. Yet before taken into practice, the applicability of all novel biosensors must be ... -
Underactuated leader-follower synchronisation for multi-agent systems with rejection of unknown disturbances
(Journal article, 2015)In this paper leader-follower synchronization is considered for underactuated followers in an inhomogeneous multi-agent system. The goal is to synchronise the motion of a leader and an underactuated follower. Measurements ... -
Underactuated mechanical systems: Whether orbital stabilization is an adequate assignment for a controller design?
(Peer reviewed; Journal article, 2020)The paper contributes to developing algorithms for motion planning and motion control for mechanical systems with two and more passive degrees of freedom by exploring a challenging example in details. As shown, some of ... -
The underlying components of data-driven smart sustainable cities of the future: a case study approach to an applied theoretical framework
(Peer reviewed; Journal article, 2021)The increased pressure on cities has led to a stronger need to build sustainable cities that can last. Planning sustainable cities of the future, educated by the lessons of the past and anticipating the challenges of the ... -
Understanding and Analyzing Emergent Misbehavior on Cyber-Physical Systems.
(Doctoral theses at NTNU;2023:114, Doctoral thesis, 2023)In a constantly evolving world, various technologies such as artificial intelligence (AI) influence the development of digital transformation through its decision-making capabilities. Cyber-physical systems (CPSs) are ... -
Understanding and Assessing Quality of Models and Modeling Languages
(Chapter, 2018) -
Understanding and augmenting children's learning experiences with motion-based technologies: The role of multimodal analytics
(Doctoral theses at NTNU;2023:231, Doctoral thesis, 2023)Including children in the learning process through purposeful motion is a complex, yet promising endeavour. Motion-Based Technologies (MBTs), which depend on sensors to naturally engage children through “touchless” gesture, ... -
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
(Chapter, 2018)Deep neural networks, including recurrent networks, have been successfully applied to human activity recognition. Unfortunately, the final representation learned by recurrent networks might encode some noise (irrelevant ...