Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel
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Reinforcement Learning
(Master thesis, 2022)Electricity prices have risen significantly year on year and reducing energy use in homes can save money, improve energy security and reduce pollution from non-renewable energy sources. Whether to lower the monthly ... -
Removing outliers from the Lucas-Kanade method with a weighted median filter
(Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)The definition of optical flow is stated as a brightness pattern of apparent motion of objects, through surfaces and edges in a visual scene. This technique is used in motion detection and segmentation, video compression ... -
Report on the 1st Simulation for Information Retrieval Workshop (Sim4IR 2021) at SIGIR 2021
(Journal article, 2021)Simulation is used as a low-cost and repeatable means of experimentation. As Information Retrieval (IR) researchers, we are no strangers to the idea of using simulation within our own field---such as the traditional means ... -
Report on the 44th European Conference on Information Retrieval (ECIR 2022): The First Major Hybrid IR Conference
(Journal article, 2022)The 44th European Conference on Information Retrieval (ECIR’22) was held in Stavanger, Norway. It represents a landmark, not only for being the northernmost ECIR ever, but also for being the first major IR conference in a ... -
Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021
(Journal article, 2022)The term personal knowledge graph (PKG) has been broadly used to refer to structured representation of information about a given user, primarily in the form of entities that are personally related to the user. The potential ... -
Representing Resources in Petri Net Models: Hardwiring or Soft-coding?
(Conference object, 2011)This paper presents an interesting design problem in developing a new tool for discrete-event dynamic systems (DEDS). A new tool known as GPenSIM was developed for modeling and simulation of DEDS; GPenSIM is based on Petri ... -
Resource Allocation for Vertical Industries in a Smart City Using Deep Reinforcement Learning
(Master thesis, 2023)This Master’s thesis addresses the problem of resource allocation in Network Function Virtualization (NFV) within the context of a smart city considering isolation. The objective of the thesis is to minimize the long-term ... -
Resource allocation for cost minimization of a slice broker in a 5G-MEC scenario
(Peer reviewed; Journal article, 2023-11)The fifth generation (5G) of mobile networks may offer a custom logical and virtualized network called network slicing. This virtualization opens a new opportunity to share infrastructure resources and encourage cooperation ... -
Resource Allocation in Networking and Computing Systems: A Security and Dependability Perspective
(Peer reviewed; Journal article, 2023)In recent years, there has been a trend to integrate networking and computing systems, whose management is getting increasingly complex. Resource allocation is one of the crucial aspects of managing such systems and is ... -
Resource Management Tool
(Bachelor thesis, 2022)This thesis has been solved according to the need Cegal has. Cegal wanted us to create a product as part of a Cegal internal improvement project. The program should be able to assign resources to projects or engagements ... -
Resourse Management Tool
(Bachelor thesis, 2022)This thesis has been solved according to the need Cegal has. Cegal wanted us to create a product as part of a Cegal internal improvement project. The program should be able to assign resources to projects or engagements ... -
Revenue Maximization of a Slice Broker in the Presence of Byzantine Faults
(Chapter, 2023)Multi-Access Edge Computing (MEC) and network slicing are vital for advancing the Fifth Generation (5G) of cellular systems. MEC provides context awareness and reduces the latency for communication. Network slicing allows ... -
Revenue-Model Learning for a Slice Broker in the Presence of Adversaries
(Chapter, 2023)Multi-Access Edge Computing (MEC) and network slicing two of the key enabling technologies of the Fifth Generation (5G) of cellular network. MEC helps to reduce latency, offload the cloud, and allow context-awareness. ... -
Revisiting Petri Net Modeling of the Cigarette Smokers' Problem: A GPenSIM Approach
(Conference object, 2013-11)Petri Nets is a family of modeling formalisms, with different interpretations and abstraction levels; the Petri nets family of modeling formalisms includes ordinary Petri Net, generalized Petri Net, and also all other ... -
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks
(Peer reviewed; Journal article, 2020-05)Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design ... -
Rhythm analysis during cardiopulmonary resuscitation: past, present, and future
(Journal article; Peer reviewed, 2014-01)Survival from out-of-hospital cardiac arrest depends largely on two factors: early cardiopulmonary resuscitation (CPR) and early defibrillation. CPRmust be interrupted for a reliable automated rhythmanalysis because chest ... -
Rhythm interpretation using deep learning neural networks
(Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-14)Out-of-hospital cardiac arrest (OHCA) is a leading cause of death in the industrialized world, with an estimated annual incidence that varies by 52.5 (in Asia), 86.4 (in Europe), 98.1 (in North America), and 111.9 (in ... -
Risk in the Age of Software Security
(Others, 2017)For general applications, it is way too costly to aim for 100 % secure software; for complex systems it may even be impossible. To achieve effective software security at reasonable cost, it is thus necessary to identify ... -
Risk management using big real time data
(Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-16)This thesis focuses on risk management of flight delay area using big real time data. It proposes two different prediction models, one is called General Long Term Departure Prediction Model and the other is named as ... -
RiskTUN: An ICT-based Concept for a Risk-aware Decision Support System for Tunnel Safety
(Chapter, 2023)Safety in road tunnels are of utmost importance for the public notion of safety within the road system. In recent years, there has been significant progress in multiple areas of artificial intelligence, sensor fusion and ...