Explicit Constructions of Quasi-Uniform Codes from Groups

We address the question of constructing explicitly quasi-uniform codes from groups. We determine the size of the codebook, the alphabet and the minimum distance as a function of the corresponding group, both for abelian and some nonabelian groups. Potentials applications comprise the design of almost affine codes and non-linear network codes

Data diagnostics and remedial measures

The raw data consist of measurements of some attribute on a collection of individuals. The measurement would have been made in one of the following scales viz., nominal, ordinal, interval or ratio scale

Modelling the Spatial Extent of Medium Energy Electron Precipitation

Jordens magnetosfære fungerer som et robust skjold, og beskytter planeten vår mot den nådeløse tilstrømningen av ladede partikler som hovedsakelig stammer fra solens solvind og fra de kosmiske strålene utenfor vårt solsystem. Mange av disse ladede partiklene blir fanget av jordens magnetosfære, og danner strålingsbeltene. En betydelig delmengde av disse fangede elektronene med energi >30 keV, kalt Medium Energy Electrons (MEE), dykker dypt inn i atmosfæren vår, og påvirker atmosfærisk kjemi og dynamikk direkte. Virkningen av MEE-nedbør på klimaet har blitt et voksende område av vitenskapelig interesse, spesielt gitt dens potensielle rolle i å ødelegge stratosfærisk og mesosfærisk ozon. Denne forskningen fordyper seg i å forstå den romlige fordelingen av MEE-nedbør og dens bredere implikasjoner. Ved å utnytte data fra Medium Energy Proton Electron Detector (MEPED) på ulike satellitter og sammenligne dem med geomagnetiske indekser, presenterer oppgaven en omfattende modell for å forutsi den geografiske omfanget av MEE-nedbør.The Earth's magnetosphere acts as a robust shield, protecting our planet from the relentless influx of charged particles originating primarily from the Sun's solar wind and from the cosmic rays beyond our solar system. Many of these charged particles get trapped by the Earth’s magnetosphere, forming the radiation belts. A significant subset of these trapped electrons with energy >30 keV, termed Medium Energy Electrons (MEE), dive deep into our atmosphere, directly influencing atmospheric chemistry and dynamics. The impact of MEE precipitation on the climate has become an emerging area of scientific interest, particularly given its potential role in destroying stratospheric and mesospheric ozone. This research delves into understanding the spatial distribution of MEE precipitation and its broader implications. Leveraging data from the Medium Energy Proton Electron Detector (MEPED) on various satellites and comparing it to geomagnetic indices, the thesis presents a comprehensive model to predict the geographic extent of MEE precipitation.Doktorgradsavhandlin

Classification techniques for remotely sensed data

Hyperspectral imaging sensors measure the radiance of the materials within each pixel area at a very large number of contiguous spectral wavelength bands. So, they can generate hundreds of images of a scene on the real surface. The radiance is converted into hyperspectral data cube digital form. The spectral information available in a hyperspectral image (cube) may serve to classify the nature of the target object because every material had a unique fixed spectrum and could be used as a spectral signature of the material and perhaps provide additional information for further processing and exploitation. Hyperspectral data contain extremely rich spectral attributes, which offer the potential to discriminate more detailed classes with classification accuracy

Hydrodynamics and Salinity Transport Modeling in Branched Estuary Channels Using Finite Element Method

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv