Blar i Faculty of Engineering and Science på tittel
Viser treff 2154-2173 av 3245
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On the existence of solutions to the higher order : Korteweg de Vries-Burgers equation
(Master thesis, 2019)Vi studerer eksistensen av løsninger til den høyere ordens Korteweg deVries-Burgers likningenut+ 2uux−uxx+uxxxxx= 0. Ved ̊a jobbe medestimater i Sobolev rom finner vi at det eksisterer unik løsning i ... -
On the Foundations of Multinomial Sequence Based Estimation
(Chapter, 2016) -
On the global dissipative and multipeakon dissipative behavior of the two-component Camassa-Holm system
(Journal article; Peer reviewed, 2014)The global dissipative and multipeakon dissipative behavior of the two-component Camassa-Holm shallow water system after wave breaking was studied in this paper. The underlying approach is based on a skillfully defined ... -
On the Influence of Cross-Section Size on Measured Strength of SLM-Produced AlSi10Mg-Alloy
(Peer reviewed; Journal article, 2022)The freedom in choice of geometries in additive manufacturing (AM) favors the use of structures with large surface and small cross-section such as lattice structures and thin-walled hollow profiles. On the other hand, the ... -
On the Influence of Walking People on the Doppler Spectral Characteristics of Indoor Channels
(Journal article; Peer reviewed, 2017)When modelling mobile radio channels with moving scatterers, it is generally assumed that the angles of departure (AODs), angles of arrival (AOAs), and the speed of the scatterers are time-invariant. However, this assumption ... -
On the influence of walking people on the Doppler spectral characteristics of indoor channels
(Journal article; Peer reviewed, 2017) -
On the multipeakon dissipative behavior of the modified coupled camassa-holm model for shallow water system
(Journal article; Peer reviewed, 2013)This paper investigates the multipeakon dissipative behavior of the modified coupled two-component Camassa-Holm system arisen from shallow water waves moving. To tackle this problem, we convert the original partial ... -
On the Online Classification of Data Streams Using Weak Estimators
(Chapter, 2016) -
On the pattern recognition and classification of stochastically episodic events
(Lecture Notes in Computer Science; 7190;, Chapter; Peer reviewed, 2012)Researchers in the field of Pattern Recognition (PR) have traditionally presumed the availability of a representative set of data drawn from the classes of interest, say ω 1 and ω 2 in a 2-class problem. These samples are ... -
On the Potential of Emerging Learning Technology Standards and Specifications to Enhance Learning Experience
(Master thesis, 2016)Emerging educational technologies had a significant impact on the learning environment. Nowadays, classrooms are no longer as simple as it used to be, like using chalks and blackboards. Lots of technologies (e.g. video ... -
On the problems of symbol-spaced tapped-delay-line models for WSSUS channels
(Peer reviewed; Journal article, 2009)This paper analyzes the validity and statistical behavior of symbol-spaced tapped-delay-line (SSTDL) models for wide-sense stationary uncorrelated scattering (WSSUS) mobile radio channels. SSTDL models are obtained by ... -
On the self-heating behavior of upgraded biochar pellets blended with pyrolysis oil: Effects of process parameters
(Peer reviewed; Journal article, 2020) -
On the spatial configuration of scatterers for given delay-angle distributions
(Journal article; Peer reviewed, 2014)This paper investigates the distribution of scatterers located around the mobile station (MS) for given delay-angle distributions. The delay-angle distribution function represents the joint probability density function ... -
On the spectral moments of non-WSSUS mobile-to-mobile double Rayleigh fading channels
(IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops;2017, Journal article; Peer reviewed, 2018)This paper deals with the mathematical analysis of the spectral moments of non-wide-sensestationary uncorrelated-scattering (non-WSSUS) mobile-to-mobile (M2M) double-Rayleigh fading channels. The point of departure is a ... -
On the Statistical Analysis of the Channel Capacity of Double Rayleigh Channels with Equal Gain Combining in V2V Communication Systems
(Journal article; Peer reviewed, 2010)In this article, we present a detailed study on the statistical properties of the channel capacity of vehicle-to-vehicle (V2V) fading channels with equal gain combining (EGC). Assuming perfect channel state information ... -
On the Statistical Properties of Equal Gain Combining over Mobile-to-Mobile Fading Channels in Cooperative Networks
(Journal article; Peer reviewed, 2010)This article deals with the statistical analysis of equal gain combining (EGC) over mobile-to-mobile (M2M) fading channels in a dual-hop amplify-and-forward relay network. Here, we analyze narrowband M2M fading channels ... -
On the Theory and Applications of Hierarchical Learning Automata and Object Migration Automata
(Doctoral dissertations at University of Agder; no. 444, Doctoral thesis, 2023)The paradigm of Artificial Intelligence (AI) and the sub-group of Machine Learning (ML) have attracted exponential interest in our society in recent years. The domain of ML contains numerous methods, and it is desirable ... -
On the thermal instability in a horizontal rectangular porous channel heated from below by a constant flux
(Journal article; Peer reviewed, 2014)The onset of thermoconvective instability in a rectangular horizontal channel filled with a fluid-saturated porous medium is studied. The channel is heated from below with a constant flux. The top wall is maintained at a ... -
On the timing between terrestrial gamma ray flashes, radio atmospherics, and optical lightning emission
(Journal article; Peer reviewed, 2017)On 25 October 2012 the Reuven Ramaty High Energy Solar Spectroscope Imager (RHESSI) and the Tropical Rainfall Measuring Mission (TRMM) satellites passed over a thunderstorm on the coast of Sri Lanka. RHESSI observed a ... -
On the use of Denoising Autoencoders and Deep Convolutional Adversarial Networks for Automated Removal of Date Stamps
(Master thesis, 2019)This thesis investigates to what extent the deep learning models such as DenoisingAutoencoder (DAE) and Deep Convolution General Adversarial Net (DCGAN)automate the removal of the date stamps from images with high resolution ...