Browsing Institutt for IKT og realfag by Title
Now showing items 322-341 of 524
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Neural relational inference for disaster multimedia retrieval
(Peer reviewed; Journal article, 2020)Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over time. As a consequence, social media turns into a valuable source ... -
Neural-network-based modelling and analysis for time series prediction of ship motion
(Journal article, 2017)This paper presents a data-driven model for time series prediction of ship motion. Prediction based on past time series of data is a powerful function in modern ship support systems. For a large amount of ship sensor data, ... -
A New Approach to Nonlinear State Observation for Affine Control Dynamical Systems
(Journal article; Peer reviewed, 2023) -
New electric module for Interwell P&A
(Bachelor thesis, 2021)Denne oppgaven har vært startem på et større project for ny thermite antenningsmodule. Har i fokusert på en antenningsprosessen og sammenlignet to antenningshylser. Prosjekte er igangsatt av Interwell P&A som har vært ... -
A new estimation method for COVID-19 time-varying reproduction number using active cases
(Peer reviewed; Journal article, 2022)We propose a new method to estimate the time-varying effective (or instantaneous) reproduction number of the novel coronavirus disease (COVID-19). The method is based on a discrete-time stochastic augmented compartmental ... -
A New Nonlinear Controller for the Maximum Power Point Tracking of Photovoltaic Systems in Micro Grid Applications Based on Modified Anti-Disturbance Compensation
(Peer reviewed; Journal article, 2022)In the photovoltaic system, the performance, efficiency, and generated power of the PV system are affected by changes in the environment, disturbances, and parameter variations, and this leads to a deviation from the ... -
A New Nonlinear Dynamic Speed Controller for a Differential Drive Mobile Robot
(Peer reviewed; Journal article, 2023)A disturbance/uncertainty estimation and disturbance rejection technique are proposed in this work and verified on a ground two-wheel differential drive mobile robot (DDMR) in the presence of a mismatched disturbance. The ... -
Non-technical Loss Detection in Power Grid Using Information Retrieval approaches: A Comparative Study
(Peer reviewed; Journal article, 2021)Non-technical loss (NTL) detection is a persistent challenge for Distribution System Operators. Data-driven solutions have been widely used nowadays to analyze customers’ energy consumption and to identify suspicious fraud ... -
Nonlinear Model Predictive Growth Control of a Class of Plant-Inspired Soft Growing Robots
(Peer reviewed; Journal article, 2020)Recently, researchers have shown an increased interest in considering plants as a model of inspiration for designing new robot locomotions. Growing robots, that imitate the biological growth presented by plants, have proved ... -
A Novel Ensemble Representation Framework for Sentiment Classification
(Chapter, 2020)Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ... -
A novel method for performance measurement of public educational institutions using machine learning models
(Peer reviewed; Journal article, 2021)Lack of education is a major concern in underdeveloped countries because it leads to poor human and economic development. The level of education in public institutions varies across all regions around the globe. Current ... -
A novel person re-identification network to address low-resolution problem in smart city context
(Peer reviewed; Journal article, 2023)We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution ... -
A numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models
(Peer reviewed; Journal article, 2021)We present a numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models. The idea is to augment the reproduction number as an extended state variable in ... -
Obfuscation in digital fingerprinting
(Journal article; Peer reviewed, 2017)Digital fingerprinting has been much studied in the literature for more than 20 years, motivated by applications in copyright protection. A popular and practical approach is to use spread spectrum watermarking to embed ... -
Observations and Reflections on Teaching Electrical and Computer Engineering Courses
(Chapter, 2018)In this article, we make a number of observations and reflections based on our experience from many years of teaching courses in electrical and computer engineering bachelor programmes. We present important aspects of ... -
OceanRoads: Fishing area separation and relation discovery through VMS trace analysis
(Chapter, 2017)Vessel Monitoring Systems (VMS) provide trajectory data of fishing vessels to discover the spatial-temporal pattern of fishing activities. Although previous researches exhibit the fishing resource distribution in space and ... -
On Demand Waste Collection for Smart Cities: A Case Study
(Chapter, 2022)The neat and clean surrounding is the main driving force for any city to be called a smart city. In order to address current societal and business challenges, the objective is to provide a solution to enable collection-on-demand ... -
On Modeling Eavesdropping Attacs in Underwater Acoustic Sensor Networks
(Journal article; Peer reviewed, 2016)The security and privacy of underwater acoustic sensor networks has received extensive attention recently due to the proliferation of underwater activities. This paper proposes an analytical model to investigate the ... -
On performance analysis of protective jamming schemes in wireless sensor networks
(Peer reviewed; Journal article, 2016)Wireless sensor networks (WSNs) play an important role in Cyber Physical Social Sensing (CPSS) systems. An eavesdropping attack is one of the most serious threats to WSNs since it is a prerequisite for other malicious ...