Search results for "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550"
showing 10 items of 469 documents
Is there a Scandinavian model for MOOCs?
2020
Distributed learning automata-based scheme for classification using novel pursuit scheme
2020
Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The distinguishing characteristic of automata-based learning is that the search for the optimising parameter vector is conducted in the space of probability distributions defined over the parameter space, rather than in the parameter space itself (Thathachar and Sastry, IEEE Trans Syst Man Cybern-Part B Cybern 32(6): 711–722, 2002). Recently, Goodwin and Yazidi pioneered the use of Ant Colony Optimisation (ACO) for solving classification problems (Goodwin and Yazidi 2016). In th…
Are Cities Aware Enough? A Framework for Developing City Awareness to Climate Change
2020
Cities are growing and becoming more complex, and as they continue to do so, their capacity to deal with foreseen and unforeseen challenges derived from climate change has to adapt accordingly. In the last decade, an effort has been made to build city resilience and improve cities' capacity to respond to, recover from and adapt to climate change. However, certain city stakeholders' lack of proactive behavior has resulted in less effective city resilience-building strategies. In this sense, the importance of developing stakeholders&rsquo
Various Approaches to Early Contractor Involvement in Relational Contracts
2021
Abstract The main rationale for involving contractors is to apply collaboration to mitigate risk and to harvest opportunities to reduce cost and to increase the project owner’s value. In the paper we argue in the applied analytical model that there are four levels of early contractor involvement (ECI), which are 1) Preparation of the project (before sparking off competition); 2) During the procurement phase (development of what to build); 3) Project delivery model (before construction contract, but after the contractor and designers are selected); 4) Project delivery model (where involvement also continues in the execution phase). In the paper we argue that category 4 have the largest poten…
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
2019
Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption of user equipment (UE). However, the task of selecting an optimal set of components to offload considering the amount of data transfer as well as the latency in communication is a complex problem. In this paper, we propose a novel energy-efficient deep learning based offloading scheme (EEDOS) to train a deep learning based smart decision-making algorithm that selects an optimal set of application components based on remaining energy of UEs, energy consumption by applicati…
ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse
2020
Author's accepted manuscript Industrial cooling systems consume large quantities of energy with highly variable power demand. To reduce environmental impact and overall energy consumption, and to stabilize the power requirements, it is recommended to recover surplus heat, store energy, and integrate renewable energy production. To control these operations continuously in a complex energy system, an intelligent energy management system can be employed using operational data and machine learning. In this work, we have developed an artificial neural network based technique for modelling operational CO2 refrigerant based industrial cooling systems for embedding in an overall energy management s…
Development of digital health messages for rural populations in Tanzania: Multi- And interdisciplinary approach
2021
Background Health workers have traditionally delivered health promotion and education to rural communities in the Global South in paper leaflet formats or orally. With the rise of digital technologies, health promotion and education can be provided in innovative and more effective formats, which are believed to have a higher impact on disease prevention and treatment. Objective The aim of this tutorial is to illustrate how a multi- and interdisciplinary approach can be applied in the design process of digital health messages for use in the Global South. Methods The multi- and interdisciplinary team of the Non-discriminating access for Digital Inclusion (DigI) project digitalized and custom…
Spectrogram Analysis of Non-Stationary RSE-to-Car Channels Behaviour for Braking Situations
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Car-to-car (C2C) and car-to-infrastructure (C2I) communications promise revolutionary improvements in transportation due to its possibilities to improve the road safety and tra c management. C2C is a system designed to exchange information between vehicles, and C2I is a communication model that allows vehicles to share information with the infrastructure such as roadside equipment (RSE). These communications are considered as essential elements of the intelligent transport system (ITS). In this regard, reliability of the communication is vital to provide warning of an impending accident. Thus, the an…
Anvendelse av XR-teknologi for undervisning : Muligheter og utfordringer ved XR-teknologi som læringsressurs for undervisning i ungdomsskolen og vide…
2020
Master's thesis in Social science (SV505) Formålet med denne masteroppgaven har vært å rette søkelyset mot bruken av virtuellvirkelighets-teknologi på ungdoms- og videregående skole, de ulike variantene av teknologien, og deres muligheter og utfordringer i undervisningssammenheng. Utgangspunktet var som nevnt å utforske virtuellvirkelighet, men gjennom studien endret fokuset seg til det utvidede begrepet XR-teknologi, og XR-teknologi for undervisning. Oppgaven er bygget på en kvalitativ studie basert på fire intervjuer med lærere fra ungdomsskole, videregående skole, universitet og relevante institusjoner, som alle på hver sin måte jobber med, eller med utvikling av XR-teknologi i undervisn…
Priority-based initial access for URLLC traffic in massive IoT networks: Schemes and performance analysis
2020
Abstract At a density of one million devices per square kilometer, the10’s of billions of devices, objects, and machines that form a massive Internet of things (mIoT) require ubiquitous connectivity. Among a massive number of IoT devices, a portion of them require ultra-reliable low latency communication (URLLC) provided via fifth generation (5G) networks, bringing many new challenges due to the stringent service requirements. Albeit a surge of research efforts on URLLC and mIoT, access mechanisms which include both URLLC and massive machine type communications (mMTC) have not yet been investigated in-depth. In this paper, we propose three novel schemes to facilitate priority-based initial …