Sökning: "Secure Systems"
Visar resultat 1 - 5 av 614 uppsatser innehållade orden Secure Systems.
1. A case study of SCADA implementation for small electrical producers in WideQuick
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : The escalating demand for electricity requires the deployment of reliable, secure, and efficient energy production methods. This master thesis explores the utilization of Supervisory Control and Data Acquisition (SCADA) systems in power plants to meet these requirements. LÄS MER
2. Implementering av händelsedrivenarkitektur och händelsekällor för hälsodata
Kandidat-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Dagens hälso- och sjukvårdssystem är byggda som en traditionell monolit men det finns fler sätt att utveckla dessa system på. Händelsedriven arkitektur med händel-sekällor för lagring av data är ett modernt sätt att utveckla system. LÄS MER
3. Blockchain-based e-voting system without digital ID: A Proof-of-Concept
Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Electronic voting systems have the potential to offer a cost effective, secure and transparent way of communicating with the citizens, increasing trust and participation. However creating a secure open source electronic voting system providing confidentiality and transparency with sufficient performance has long been a challenge. LÄS MER
4. Modelling Micropollutant Removal Through Ozonation in Wastewater
Master-uppsats, Lunds universitet/Kemiteknik (CI)Sammanfattning : Proper management of water resources is a key to climate change adaptation and resilience in modern societies. Adequate treatment of wastewater is essential for ensuring the sustainability of the water cycle and the health of the environment and the ecosystems that inhabit it. LÄS MER
5. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER