Search results for " Communication"

showing 10 items of 4937 documents

Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications

2022

VDP::Technology: 500::Information and communication technology: 550
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Offshore Wind Data Integration

2014

Doktorgradsavhandling i informasjons- og kommunikasjonsteknologi, Universitetet i Agder, Grimstad, 2014 Using renewable energy to meet the future electricity consumption and to reduce environmental impact is a significant target of many countries around the world. Wind power is one of the most promising renewable energy technologies. In particular, the development of offshore wind power is increasing rapidly due to large areas of wind resources. However, offshore wind is encountering big challenges such as effective use of wind power plants, reduced cost of installation as well as operation and maintenance (O&M). Improved O&M is likely to reduce the hazard exposure of the employees, increas…

VDP::Technology: 500::Information and communication technology: 550
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Implicit Wiener Filtering for Speech Enhancement In Non-Stationary Noise

2021

VDP::Technology: 500::Information and communication technology: 550
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Novel Tsetlin Machine Mechanisms for Logic-based Regression and Classification with Support for Continuous Input, Clause Weighting, Confidence Assess…

2022

VDP::Technology: 500::Information and communication technology: 550
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On merging the fields of neural networks and adaptive data structures to yield new pattern recognition methodologies

2011

Published version of a chapter from the book Pattern Recognition and Machine Intelligence. Also available from the publisher at http://dx.doi.org/10.1007/978-3-642-21786-9_3 The aim of this talk is to explain a pioneering exploratory research endeavour that attempts to merge two completely different fields in Computer Science so as to yield very fascinating results. These are the well-established fields of Neural Networks (NNs) and Adaptive Data Structures (ADS) respectively. The field of NNs deals with the training and learning capabilities of a large number of neurons, each possessing minimal computational properties. On the other hand, the field of ADS concerns designing, implementing an…

VDP::Technology: 500::Information and communication technology: 550
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Cryptographic Enforcement of Attribute-based Authentication

2016

Doktorgradsavhandling, This dissertation investigates on the cryptographic enforcement about attributebased authentication (ABA) schemes. ABA is an approach to authenticate users via attributes, which are properties of users to be authenticated, environment conditions such as time and locations. By using attributes in place of users’ identity information, ABA can provide anonymous authentication, or more specifically, ABA enables to keep users anonymous from their authenticators. In addition, the property of least information leakage provides better protection for users’ privacy compared with public key based authentication approaches. These properties make it possible to apply ABA schemes …

VDP::Technology: 500::Information and communication technology: 550
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Quantization in Graph Convolutional Neural Networks

2021

VDP::Technology: 500::Information and communication technology: 5502021 29th European Signal Processing Conference (EUSIPCO)
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Simulation Models in eGovernment Using System Dynamics

2017

Doktorgradsavhandling ved Universitetet i Agder, Institutt for infomasjons- og kommunikasjonsteknologi, 2017 System Dynamics (SD) is a method to build simulation models using computers, to study the behaviour of systems, and apply what-if scenarios aiming at achieving optimal policy design. In this thesis, we are introducing an SD approach in modelling the eGovernment. The thesis is based on two topics or essays: eParticipation and eAccessibility as examples of eGovernment areas that SD models have not been used in before, to show how SD can be used in modelling and supporting decisions in the field of eGovernment, especially in new areas. Although this research is part of the eGovMon proje…

VDP::Technology: 500::Information and communication technology: 550
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Modelling and Analysis of Non-Stationary Mobile Fading Channels Using Brownian Random Trajectory Models

2014

Doktorgradsavhandling i informasjons- og kommunikasjonsteknologi, Universitetet i Agder, Grimstad, 2014 The demanding mobility features of communication technologies call for the need to advance channel models (among other needs), in which non-stationary aspects of the channel are carefully taken into consideration. Owing to the mathematical complexity imposed by mobility features of the mobile station (MS), the number of non-stationary channel models proposed in the literature is very limited. The absence of a robust trajectory model for capturing the mobility features of the MS also adds to the depth of this gap. Not only statistically non-stationary channels, but also physically non-stat…

VDP::Technology: 500::Information and communication technology: 550
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Channel Access and Reliability Performance in Cognitive Radio Networks:Modeling and Performance Analysis

2016

Doktorgradsavhandling ved Institutt for Informasjons- og kommunikasjonsteknologi, Universitetet i Agder According to the facts and figures published by the international telecommunication union (ITU) regarding information and communication technology (ICT) industry, it is estimated that over 3.2 billion people have access to the Internet in 2015 [1]. Since 2000, this number has been octupled. Meanwhile, by the end of 2015, there were more than 7 billion mobile cellular subscriptions in the world, corresponding to a penetration rate of 97%. As the most dynamic segment in ICT, mobile communication is providing Internet services and consequently the mobile broadband penetration rate has reache…

VDP::Technology: 500::Information and communication technology: 550
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