Search results for "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550"
showing 10 items of 469 documents
Et roadmap for veien mot automatisering av event-håndtering : implementering av ITSM i Skatteetatens IT og Servicepartner
2016
Masteroppgave informasjonssystemer IS501 - Universitetet i Agder 2016 I verden i dag er stadig voksende data- og servernettverk en realitet for mange bedrifter. Systemer og sammenhenger blir stadig mer komplekse, og fører til at bedrifter må tenke nytt når det kommer til å sikre god og effektiv drift. For å sørge for dette, og oppnå økt effektivitet og kontroll over sine IT-tjenester sees det ofte mot IT Service Management (ITSM). Avhengig av industri står ITSM-relaterte kostnader for mellom 65%-80% av alle IT-utgifter per år, og er dermed høyst aktuelt å effektivisere. Automatisering er én tilnærming til dette, men da det er mangel på konkrete forklaringer på hvordan dette skal gjøres, ell…
Kritiske forutsetninger for gevinstrealisering : erfaringer fra et e-helseprosjekt
2016
Masteroppgave informasjonssystemer IS501 - Universitetet i Agder 2016
Hvordan implementering av velferdsteknologi vil påvirke hjemmetjenesten i Lenvik kommune : Samfunnsøkonomisk lønnsomhetsvurdering for hjemmetjenesten…
2017
Masteroppgave økonomi og administrasjon BE501 - Universitetet i Agder 2017 Denne oppgaven undersøker om man ved hjelp av digitalt (natt)tilsyn vil oppnå samfunnsøkonomisk lønnsomhet ved en utvidelse av nattevaktsonen til hjemmetjenesten i Lenvik kommune. Tjenesten operer i dag kun i en diameter på fire km av den totalt 892 km2 store kommunen. I 2009 ble det avslått et forslag om utvidelse av nattevaktsonen, bakgrunnen var for høye kostnader, i denne oppgaven er målet å kunne belyse om digitalt (natt)tilsyn kan gjøre det mer lønnsomt. Gjennom en casestudie er det blitt gjennomført en nytte- kostnadsanalyse basert på data hentet fra intervjuer, rapporter og statistikk. Identifiserte gevinster…
An Efficient Convolutional Neural Network with Transfer Learning for Malware Classification
2022
Rising prevalence of malicious software (malware) attacks represent a serious threat to online safety in the modern era. Malware is a threat to anyone who uses the Internet since it steals data and causes damage to computer systems. In addition, the exponential growth of malware hazards that affect many computer users, corporations, and governments has made malware detection, a popular issue in academic study. Current malware detection methods are slow and ineffectual because they rely on static and dynamic analysis of malware signatures and behavior patterns to detect unknown malware in real-time. Thus, this paper discusses the role of deep convolution neural networks in malware classifica…
Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey
2022
In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks (DNNs) have emerged as a popular field of interest in most AI applications such as computer vision, image and video processing, robotics, etc. In the context of developed digital technologies and the availability of authentic data and data handling infrastructure, DNNs have been a credible choice for solving more complex real-life problems. The performance and accuracy of a DNN is a way better than human intelligence in certain situations. However, it is noteworthy that …
Platform-Supported Cooperative Work
2021
Abstract. Platformization is transforming the way work is organized in a variety of businesses. The CSCW literature contains substantial amount of research on platforms, but this research to date has mainly been focusing on two-sided global platforms such as social media, on-demand labor, and crowdsourcing platforms. In many European countries, platformization of traditional organizations, both private and public, is well underway and accelerated by the pandemic. Platformization as a process can affect how we design systems –i.e. the platform itself and its peripheral applications and customizations –and how we use platforms for collaboration. Through this workshop we want to engage academi…
Intelligent estimation of the wake losses in wind farms : Artificial neural network estimation of the power of a wind farm considering the effect of …
2018
Master's thesis Renewable Energy ENE500 - University of Agder 2018 The transition from non-renewable to renewable energy production requires a detailed optimization and quantification of the generated power. The loss of power due to wake effect is a common problem for wind farms. The wake effect is the reduction of velocity and increase of turbulence in the wind flow downstream from a wind turbine. The wake effect is a complex multivariable phenomenon and its understanding iscapital forappropriate estimations of the power of a wind field and its turbines.This thesis builds an artificial neural network based on machine learning to model the performance of a single wind farm owned by WEICAN (…
System modeling and dispatch schedule optimization of combined PV battery system using linear optimization
2021
Master's thesis in Renewable energy (ENE500) Energy storage plays a vital role in paving the way for more renewable penetration. The technology is costly, but intelligent solutions regarding dispatch strategies and system design can help reduce the total cost over the projected lifetime of a system. For this thesis, a customizable linear programming algorithm is created within Python to optimize the battery energy scheduling based on generated PV power, electricity cost and load demand. The commercial system optimization tool HOMER is used to verify the code by running simulations based on historic data collected from Nord Pool and UiAs own photovoltaic system. One benefit of the custom mad…
Optimization of Power Supply for Hydrology-and Meteorology-stations : Optimization of power supply for off-grid hydrology- and meteorology-stationsus…
2019
Master's thesis Renewable Energy ENE500 - University of Agder 2019 This thesis consider a case study of a PV/wind/battery hybrid energy system installed at Scanmatic ASheadquarters in Arendal, Norway. The energy system is a stand-alone and off-grid hybrid system. It consistof four PV panels of 20 W with different tilt and orientation, a wind turbine of 300 W and a battery of1.4 kWh. This work consider machine learning and artificial intelligence in Python 3 for prediction andoptimization. Machine learning is used to predict the power production from the system components basedon the weather data at site. Artificial intelligence is used to optimize the system size based on cost and theabilit…
A novel learning automata game with local feedback for parallel optimization of hydropower production
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Hydropower optimization for multi-reservoir systems is classi ed as a combinatorial optimization problem with large state-space that is particularly di cult to solve. There exist no golden standard when solving such problems, and many proposed algorithms are domain speci c. The literature describes several di erent techniques where linear programming approaches are extensively discussed, but tends to succumb to the curse of dimensionality problem when the state vector dimensions increase. This thesis introduces LA LCS, a novel learning automata algorithm that utilizes a parallel form of local feedbac…