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Visar resultat 1 - 5 av 1411 uppsatser som matchar ovanstående sökkriterier.
1. IS THE SEED OF REVOLUTION REPRESSION? A quantitative study of the relationship between government repression and anti-government mass mobilization
Kandidat-uppsats, Göteborgs universitet/Statsvetenskapliga institutionenSammanfattning : Throughout history, authoritarian regimes have used repression to avoid the opposition to flourish and to retain power. However, in the case of the protests for Mahsa Amini against the regime in Iran, it has been demonstrated that government repression instead, can be positively associated with anti-government mass mobilization. LÄS MER
2. Tillväxt av öring (Salmo trutta) i bastuån : Täthets- och temperaturberoende?
Kandidat-uppsats, Umeå universitet/Institutionen för ekologi, miljö och geovetenskapSammanfattning : Performance of stream living juvenile brown trout (Salmo trutta) may be affected by both intra- and intercohort competition. In this study I examined if growth and density of cohorts of young-of the-year (0+) trout are dependent on temperature and density of older (>0+) trout and 0+ trout. LÄS MER
3. Prestandajämförelse mellan krypterade och okrypterade tidsseriedatabaser med IoT-baserad temperatur- och geopositionsdata
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Internet of Things (IoT) är en växande teknologi som spelar en allt större roll i samhället. Den innefattar ett nätverk av internetanslutna enheter som samlar in och utbyter data. Samtidigt som IoT växer uppstår utmaningar kring hantering av stora datamängder och säkerhetsaspekter. LÄS MER
4. Simulator to generate realistic data from a vehicle driving in a mine
Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : This project aims to develop a simulator for generating realistic data from vehicles operating in underground mines, encompassing positional data and sensor values of the velocity and angle. The project addresses the challenge of analyzing the Hybrid Positioning algorithm within Mobilaris Onboard, a navigation system for underground mines. LÄS MER
5. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER