Search results for "500"
showing 10 items of 3244 documents
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…
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…
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…
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…
A Scalable Architecture for Parallel Execution of the Tsetlin Machine
2019
Master's thesis Information- and communication technology IKT591 - University of Agder 2019 With the Tsetlin Machine recently released, much research has been done on itscapabilities, with great success. However, the lack of tools available, and generalknowledge of the Tsetlin Machine prevents it from being adopted by the indus-try. As a result, it is today mostly used in academic environments. To increasethe general availability of the algorithm, this thesis introduces an introductorydescription to the algorithm and proposes an architecture that allows the use ofmultiple CPU threads and multiple GPUs to execute the algorithm in parallel. Inaddition, this thesis investigates several key asp…
Classification of Diabetes and Cardiac Arrhythmia using Deep Learning
2018
Master's thesis Information- and communication technology IKT591 - University of Agder 2018 Deep Learning (DL) is a research area that has ourished signi cantly in the recent years and has shown remarkable potential for arti cial intelligence in the eld of medical applications. The reasons for success are the ability of DL algorithms to model high-level abstractions in the data by using automatic feature extraction property as well as signi cant amount of medical data that is available for training these algorithms. DL algorithms can learn features from a large volume of healthcare data, and then use the procured insights to assist clinical practice. We have implement DL algorithm for the c…
3D Convolution Neural Networks for Medical Imaging; Classification and Segmentation : A Doctor’s Third Eye
2020
Master's thesis in Information- and communication technology (IKT591) In this thesis, we studied and developed 3D classification and segmentation models for medical imaging. The classification is done for Alzheimer’s Disease and segmentation is for brain tumor sub-regions. For the medical imaging classification task we worked towards developing a novel deep architecture which can accomplish the complex task of classifying Alzheimer’s Disease volumetrically from the MRI scans without the need of any transfer learning. The experiments were performed for both binary classification of Alzheimer’s Disease (AD) from Normal Cognitive (NC), as well as multi class classification between the three st…
Exploitation of Shale Oil & Gas in the U.S. An Evaluation of Refracturing Completion Techniques based on Technical and Economical Criteria.
2015
Masteroppgave industriell økonomi og teknologiledelse- Universitetet i Agder, 2015 (Konfidensiell til/confidential until 01.07.2020)
Forbedring av økonomisk prosjektstyring
2015
Masteroppgave industriell økonomi og teknologiledelse- Universitetet i Agder, 2015 (Konfidensiell til/confidential until 01.07.2020)
Organizing the business model generation process for mobile application development businesses
2015
Masteroppgave industriell økonomi og teknologiledelse- Universitetet i Agder, 2015 This thesis aims on getting more knowledge about how to build a sustainable business model for mobile app businesses. A business model plays an important role in generating profit and sustaining a company‟s competitive advantage. In a startup, the customers and the product which customers might find valuable are still unknown. Thus, designing a business model for a startup company involves a set of experiments and in many cases limited funding resource. The case I am using for my thesis is a research project at the University of Agder which is developing an app for rescue purposes, and the plan is to commerci…