Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel
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Security in Critical Information Infrastructures
(PhD thesis UiS;254, Doctoral thesis, 2015-06-05)Information and Communication Technologies (ICT) are permeating the critical infrastructures that our modern society relies on, and ICT security is becoming increasingly important to all aspects of our lives. This dissertation ... -
Security Incident Information Exchange for Cloud Service Provisioning Chains
(Journal article; Peer reviewed, 2018-12)Online services are increasingly becoming a composition of different cloud services, making incident-handling difficult, as Cloud Service Providers (CSPs) with end-user customers need information from other providers about ... -
Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning
(Master thesis, 2023)A Space-Air-Ground Integrated Network (SAGIN) has been proposed to extend communication network service coverage to consumer-oriented and industrial sectors where communication network coverage is either limited or ... -
Seeded growing algorithms for salt body segmentation in post-stack seismic data
(Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)For a more accurate geological model, it is crucial to have proper segmentation and delineation of structures. Salt structures are known to be difficult to segment given their chaotic nature; however, there are methods ... -
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ... -
Segmentering av hvit substans lesjoner i magnetresonansavbildninger (MRI) av hjernen
(Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)Automatisk gjenkjenning av hvit substans lesjoner i hjernen vil være nyttig både for å stille diagnose og i forbindelse med annen forskning på forandringer i hjernen. Her vil forskjellige metoder fra literaturen bli utprøvd ... -
Self-Emerging Proof-of-Storage Challenges Using Smart Contracts
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)Proof-of-Storage (PoS) is a collective term for protocols that allow proving data integrity and availability. There exist several PoS schemes. While they differ in detailed specifications, their common primary advantage ... -
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
(Chapter, 2020)This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge. A particular question we are interested in answering is how well neural methods, and specifically transformer models, such as BERT, ... -
Semantic Query Reasoning in Distributed Environment
(Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)Semantic Web aims to elevate simple data in WWW to semantic layer, so that knowledge, processed by machine, can be shared more easily. Ontology is one of the key technologies to realize Semantic Web. Semantic reasoning is ... -
Semantic technology for management of data recorded during therapy of cardiac arrest patients
(Masteroppgave/UIS-TN-IDE/2010;, Master thesis, 2010)The topic of this thesis is the integration of data recorded during cardiopulmonary resuscitation (CPR). In the process of CPR many important data should be recorded, such as: time of the cardiac arrest witnessed, number ... -
Semi-Supervised Image Segmentation of Medical Data
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ... -
Semi-supervised learning for classification of Nordic news articles
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)Semi-supervised learning defines the techniques that fall in between supervised and unsupervised learning. It is commonly used in classification settings where one has a lesser amount of labeled data compared to unlabeled. ... -
Semi-supervised tissue segmentation of histological images
(Peer reviewed; Journal article, 2020-09)Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ... -
Sensor diagnostic HART overlay 4-20mA
(Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)The purpose of this thesis is to provide a better understanding of the HART Communication Protocol; its capabilities to enhance communication with smart field devices and the functionalities that a monitoring and asset ... -
Sensorsystem og estimering av høyde for sonderakett
(Bachelor thesis, 2023)Denne oppgaven baserer seg på et tverrfaglig prosjekt, hvor elektronikk-, data- og maskiningeniørstudenter, har som mål å bygge en rakett. Formålet til raketten er hovedsakelig å nå en høyde på maksimalt 4000 meter, for ... -
Sensorsystem og estimering av høyde for sonderakett
(Bachelor thesis, 2023)Denne oppgaven baserer seg på et tverrfaglig prosjekt, hvor elektronikk-, data- og maskiningeniørstudenter, har som mål å bygge en rakett. Formålet til raketten er hovedsakelig å nå en høyde på maksimalt 4000 meter, for ... -
Sensorsystem og estimering av høyde for sonderakett
(Bachelor thesis, 2023)Denne oppgaven baserer seg på et tverrfaglig prosjekt, hvor elektronikk-, data- og maskiningeniørstudenter, har som mål å bygge en rakett. Formålet til raketten er hovedsakelig å nå en høyde på maksimalt 4000 meter, for ... -
A service-oriented approach for developing adaptive distribution chain
(Journal article; Peer reviewed, 2007)This paper presents a service-oriented approach for development of adaptive distribution chain. The distribution chain presented in this paper achieves all the three objectives of an adaptive chain: Firstly, to achieve ... -
Shifting Hinf Linear Parameter Varying State-Feedback Controllers Subject to Time-Varying Input Saturations
(Peer reviewed; Journal article, 2021)This paper establishes a methodology based on linear matrix inequalities (LMIs) to design a shifting Hinf linear parameter varying (LPV) state-feedback controller for systems affected by time-varying input saturations. By ... -
Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis
(Peer reviewed; Journal article, 2020-04)Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ...