Sökning: "Real-time engine model"
Visar resultat 1 - 5 av 66 uppsatser innehållade orden Real-time engine model.
1. Virtual Test Cell : a Real-Time digital twin of an internal combustion engine
M1-uppsats, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : As the world is evolving faster and technology gets cheaper and more powerful, simulations are proving to be more and more beneficial. Simulations allow for faster development with less lead time between iterations which means that product versions can be released more often and at less cost. LÄS MER
2. Queryable Workflows: Extending Dataflow Streaming with Dynamic Request/Reply Communication
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Stream processing systems have been widely adopted in applications such as recommendation systems, anomaly detection, and system monitoring due to their real-time capabilities. Improving observability in stream processing systems can further expand their application scenarios, including the implementation of stateful serverless applications. LÄS MER
3. Kamerabaserad trafikstyrning : en realtidssimulering av trafikdetektering
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Dagens trafikstyrning sker främst med hjälp av nedgrävda induktionsslingor som detekterar fordon som passerar över dem. Dessa detektorer går relativt ofta sönder och kräver utgrävningar av vägbanan vid reparation. Dessa reparationer tar tid, skapar hinder i trafikflödet och leder till ytterligare samhällskostnader. LÄS MER
4. Enhancing HiDAC Model Performance : Evaluating Unity Physics against Original approach in regards to diverse environments
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The High-Density Autonomous Crowds (HiDAC) model is an interesting crowd simulation model due to its unique ability to parameterize human characteristics. It is used in various applications such as urban planning, emergency management, and entertainment applications. LÄS MER
5. Fog detection using an artificial neural network
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER