Sökning: "nära realtid"
Visar resultat 1 - 5 av 42 uppsatser innehållade orden nära realtid.
1. Quality assessment of private weather station Netatmo
Kandidat-uppsats, Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenSammanfattning : Netatmo is a brand of private weather stations that over the past decade, in many countries, have grown to outnumber the number of government based weather stations. In most fields of research, a high number of data points can increase accuracy and precision. LÄS MER
2. Near-Real Time Forest Fire Monitoring System From an UAV
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The purpose of this thesis is to implement a payload system on a drone to help fire towers in near-realtime survey forests for wildfires. The payload system should be able to communicate with a groundstation through a mobile network and the survey should be tagged with relevant metadata. LÄS MER
3. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER
4. Grafisk översikt för orderflöde i realtid
Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : This thesis describes a project that aimed to create a digital tool for use at a company. The tool performs a useful function that had been requested for a while by both management and the proposed users. The tool shows orders to be packed at the warehouse. LÄS MER
5. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. LÄS MER