Blar i Institutt for datateknologi og informatikk på tittel
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HPC File Server Monitoring and Tuning
(Master thesis, 2005)As HPC systems grow, the distributed file systems serving these systems need to handle an increased load of data. In order to maintain performance, these underlying file servers need to distributethe load of data volumes ... -
HPC Virtualization with Xen on Itanium
(Master thesis, 2005)The Xen Virtual Machine Monitor has proven to achieve higher efficiency in virtualizing the x86 architecture than competing x86 virtualization technologies. This makes virtualization on the x86 platform more feasible ... -
HSM: A Hybrid Slowdown Model for Multitasking GPUs
(Chapter, 2020)Graphics Processing Units (GPUs) are increasingly widely used in the cloud to accelerate compute-heavy tasks. However, GPU-compute applications stress the GPU architecture in different ways --- leading to suboptimal resource ... -
HTML5 for the Development of Personalized Multi-Platform Applications
(Master thesis, 2013)As mobile devices grow more integrated into the everyday life of the general public, there is an increased benefit to be gained from utilizing personalized applications. One of the biggest challenges in developing for these ... -
HUCDO: A Hybrid User-Centric Data Outsourcing Scheme.
(Peer reviewed; Journal article, 2020)Outsourcing helps relocate data from the cyber-physical system (CPS) for efficient storage at low cost. Current server-based outsourcing mainly focuses on the benefits of servers. This cannot attract users well, as their ... -
hUGe2: An Interdisciplinary Research Program for Sustainability
(Chapter, 2021)The continuous adoption and evolution of technology in all aspects and areas of our lives and our environment entails new and complex challenges and asks for interdisciplinary perspective to avoid biases that affect ... -
Human action recognition in videos using stable features
(Journal article, 2017)Human action recognition is still a challenging problem and researchers are focusing to investigate this problem using different techniques. We propose a robust approach for human action recognition. This is achieved by ... -
Human action recognition using attention based LSTM network with dilated CNN features
(Peer reviewed; Journal article, 2021)Human action recognition in videos is an active area of research in computer vision and pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for human-behavior assessment and security purposes. ... -
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
(Journal article; Peer reviewed, 2021)Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ... -
Human Activity Recognition With Two Body-Worn Accelerometer Sensors
(Master thesis, 2016)Data used in studies about physical activity is primarily collected from questionnaires and other subjective methods, which may lead to biased and inaccurate data. As subjective data collection methods have shown to be ... -
Human Breast Milk miRNA, Maternal Probiotic Supplementation and Atopic Dermatitis in Offspring
(Peer reviewed; Journal article, 2015)Background: Perinatal probiotic ingestion has been shown to prevent atopic dermatitis (AD) in infancy in a number of randomised trials. The Probiotics in the Prevention of Allergy among Children in Trondheim (ProPACT) trial ... -
Human Mobility Patterns from Indoor Positioning Systems
(Master thesis, 2015)Outdoor positioning systems such as GPS are already a natural part of people's daily lives, being utilized in various applications such as navigation, and location aware services. One does not need anything more than a ... -
Human Pose Estimation Assisted Fitness Technique Evaluation System
(Master thesis, 2020)Vektløfting er en populær og effektiv form for styrketrening, men denne metoden kommer også med høy risiko for skade blant nye løftere. Hver person har ulike utfordringer når de skal forbedre løfte-teknikken sin og det er ... -
Human Pose Estimation Assisted Fitness Technique Evaluation System
(Master thesis, 2020)Vektløfting er en populær og effektiv form for styrketrening, men denne metoden kommer også med høy risiko for skade blant nye løftere. Hver person har ulike utfordringer når de skal forbedre løfte-teknikken sin og det er ... -
Human Pose Estimation for VR Exergaming
(Master thesis, 2023)Hjerneslag er en av de største årsakene til funksjonshemming hos voksne i verden. Rehabilitering er avgjørende for at overlevende av slag skal klare å komme seg tilbake til et normalt liv. Denne rehabiliteringsprosessen ... -
Human Pose Estimation Using a Two-Staged Convolutional Neural Network
(Master thesis, 2020)Human pose estimation, metoden for å lokalisere menneskelige kroppsdeler, har i de siste årene blitt et populært forskningsfelt grunnet sitt brede applikasjonsdomene. Til tross for denne populariteten er metoden fortsatt ... -
Human Pose Estimation Using a Two-Staged Convolutional Neural Network
(Master thesis, 2020)Human pose estimation, metoden for å lokalisere menneskelige kroppsdeler, har i de siste årene blitt et populært forskningsfelt grunnet sitt brede applikasjonsdomene. Til tross for denne populariteten er metoden fortsatt ... -
Human Reliability and Software Development
(Master thesis, 2014)Human Reliability has been an important term within high-risk industries. Theinterest has emerged within software development to reduce human errors andtheir negative impact on software engineering. Human errors cost the ... -
Human Reliability Assessment and Software Development
(Master thesis, 2014)The thesis gives a short introduction to HRA and SPAR-H and continues by presenting SPAR-H's Performance Shaping Factors in more detail.This is followed by an evaluation of SPAR-H's PSFs relevance to software development.The ... -
Human-AI Joint Task Performance: Learning from Uncertainty in Autonomous Driving Systems
(Peer reviewed; Journal article, 2024)High uncertainty tasks such as making a medical diagnosis, judging a criminal justice case and driving in a big city have a very low margin for error because of the potentially devastating consequences for human lives. In ...