Search results for "550"

showing 10 items of 1192 documents

Blockchain-based Smart Contracts for Consent Management in eHealth

2021

Master's thesis in Information- and communication technology (IKT590) Since the introduction of Bitcoin by Satoshi Nakamoto in a white paper in 2008, Blockchain has gathered considerable attention because of its ability to be decentralized and immutable. Blockchain is still considered as a new and experimental technology, and the state-of-the-art literature review was conducted to identify various use cases for the Blockchain technology for the healthcare industry. Consent management is one of the most critical components in healthcare because of the constantly evolving eHealth services requiring access to personal data, and of corresponding privacy laws, such as the European General Data P…

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Combination of automatic and manual testing for web accessibility

2018

Master's thesis Information- and communication technology IKT590 - University of Agder 2018 Web accessibility is an indispensable medium for online communication and digital inclusion nowadays. With the recent adoption of the Web Accessibility Directive making the Internet resources accessible has become a legal obligation and strikes a need for more detailed and reliable ways of web accessibility evaluation of the websites. Throughout the years, many tools have been developed for testing web accessibility as well as a plethora of metrics that are expected to convey the results. Unfortunately, in most cases the findings appear to be incomplete since the studies rely only on one testing meth…

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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E-Health : A smartphone-based e-health application for enhancing rural healthcare with the integration of medical sensor devices

2019

Master's thesis Information- and communication technology IKT590 - University of Agder 2019 The purpose of this research is to develop a smartphone or tablet based eHealth applica-tion to assist health workers in remote regions of different parts of the world with record-ing medical information and with the provision of basic health services to the patients.Health applications are becoming more popular day by day, and the use of technologyalong with these applications helps to improve the healthcare system. In this project,”mTeleHealth-UiA”, a smartphone-based application, was developed to address this chal-lenge. The application was implemented for the Android platform in the Android studi…

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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A Deep Learning Approach for Recognizing Daily Movement Patterns through Accelerometer Data

2018

Master's thesis Information- and communication technology IKT590 - University of Agder 2018 Physical activity is a key factor in the treatment of chronic diseases such asdiabetes, cardiovascular disease, and depression. Doctors and personal trainershave limited methods to accurately monitor and classify a patients actual activi-ties based on training diaries and logs that are commonly used today. In this thesis,we apply a tri-axial accelerometer carried by a patient to collect data associated todifferent activities of daily life (ADL) and utilize deep learning (DL) algorithmsfor classifying distinct activities based on the data obtained from the accelerome-ter. Among various DL methods and …

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Hierarchical Fish Species Detection in Real-Time Video Using YOLO

2020

Master's thesis in Information- and communication technology (IKT590) Information gathering of aquatic life is often based on time consuming methods with a foundation in video feeds. It would be beneficial to capture more information in a cost effective manner from video feeds, and video object detection has an opportunity to achieve this. Recent research has shown promising results with the use of YOLO for object detection of fish. As under-water conditions can be difficult and fish species hard to discriminate, we propose the use of a hierarchical structures in both the classification and the dataset to gain valuable information. With the use of hierarchical classification and other techn…

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420
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A Generative Adversarial Network approach using Latent Space Manipulation for Clothing Display on Synthetic Images Using the latent space of an non-p…

2020

Master's thesis in Information- and communication technology (IKT590) The Fashion industry is continuously inventing new clothing. A significant bottleneck when introducing newly designed clothing to the market is advertisements. This thesis looks into the possibility of streamlining this bottleneck through the automated manipulation of clothing onto generated humans. A common problem in Generative Adversarial Networks (GAN) is the black-box nature of the generated re-sults. Meaning a user has no direct input on the traits of images produced. GANs are capable of exceptional levels of "creativity" when utilizing its generator to create novel results. For instance, it is possible to project a…

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 429
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Modeling and verifying the OLSR protocol using Uppaal

2014

Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 Wireless Mesh Networks (WMNs) are a popular technology due to their exibility andself-organizing nature that provide support for broadband communication. They areused in a wide range of application areas, such as public transportation, tunnels, realtime racing car telemetry and emergency response communication. Route _nding andmaintenance, two important factors determining the performance of such networks,are provided using routing algorithms. The Optimized Link State Routing (OLSR)protocol is an example of such algorithms which is used in this study.One issue about this protocol is that its speci_cat…

IKT590Wireless Mesh Networks (WMNs) ;ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSVDP::Technology: 500::Information and communication technology: 550
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Mining travel patterns from mobile ticket applications

2014

Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 Customers’ travel patterns are highly interesting for transportation companies due tothe insight it gives over the use for their services. Logs of the customers’ location datais an important source for such companies. However, such data is not collected and isprivately owned by the individual customers. To find the customers’ travel patterns,their location data requires to match a coded map of transportation network.This paper introduces a novel solution that automatically collects location and timedata from the customers without the need for the customers to actively submit thedata. This paper presen…

IKT590travel patterns ; mining ; mobile ticket applicationsVDP::Technology: 500::Information and communication technology: 550
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Design and implementation of wake-up radios for long-range wireless IoT devices

2019

Master's thesis Information- and communication technology IKT591 - University of Agder 2019 As the development within Internet of things IoT increases rapidly andthe market starts to utilize its potential, an enormous effort is being madein both academia and industry to optimize solutions according to the mar-ket demands. The demands vary from case to case. Some applicationsmight require relatively high data rate, long battery lifetime, low latencyand long range/area coverage. The numerous use cases and demands for IoTresulted in various IoT technologies. In many IoT applications, especiallyWireless IoT applications, energy-efficiency and battery lifetime are some ofthe most important perfo…

IKT591VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Learning Automata-Based Object Partitioning with Pre-Specified Cardinalities

2020

Master's thesis in Information- and communication technology (IKT591) The Object Migrating Automata (OMA) has been used as a powerful AI-based tool to resolve real-life partitioning problems. Apart from its original version, variants and enhancements that invoke the pursuit concept of Learning Automata, and the phenomena of transitivity, have more recently been used to improve its power. The single major handicap that it possesses is the fact that the number of the objects in each partition must be equal. This thesis deals with the task of relaxing this constraint. Thus, in this thesis, we will consider the problem of designing OMA-based schemes when the number of the objects can be unequal…

IKT591VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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