Sökning: "Event detection"
Visar resultat 21 - 25 av 157 uppsatser innehållade orden Event detection.
21. Towards a Data-Driven Football Playbook
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : At a competitive level, football teams often have multiple matches per week. Thus, time can be a limited resource for match analysts tasked with analysing the performance of their team and its opponents. Increased availability of data in the field offers possibilities to automate processes to save time. LÄS MER
22. Real-time Sound Analysis to Count Opening Cycles of Automatic Doors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Counting opening cycles on an automatic sliding door is of great interest for a company manufacturing doors, such as ASSA Abloy. These metrics could be used for consumer statistics or for door diagnostics. Counting opening cycles is seemingly trivial when there is access to the door’s internal diagnostics or having adequate sensors. LÄS MER
23. Aurora detector : Affordable device for detection of optical aurora
Kandidat-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Sammanfattning : Aurora is a light phenomenon in the night sky that fascinates many people. This project has aimed to develop a detector that can send alerts to users and tell whether or not there is an aurora event. Many want to see the aurora, but not as many want to stay up all night to have the chance to see them. LÄS MER
24. Real-time unsupervised log event anomaly detection in public transportation
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Detecting log data anomalies in real-time is useful since it makes it possible to apply logic that corrects the anomalies when they happen. This project presents a method for detecting public transportation bus event log data anomalies in realtime, without having a labeled data set. LÄS MER
25. Weakly-Supervised Diagnosis with Attention Models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the rapid development of data-driven solutions, a high-quality dataset with fine labels can well tackle fault diagnosis problems. However, in industry assets, the quality of the dataset depends much on the experience and capability of the annotation engineer. Therefore, strong labels are usually hard and expensive to acquire. LÄS MER