Sökning: "maritime surveillance"
Visar resultat 1 - 5 av 12 avhandlingar innehållade orden maritime surveillance.
1. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications
Sammanfattning : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. LÄS MER
2. Anomaly detection in the surveillance domain
Sammanfattning : In the post September 11 era, the demand for security has increased in virtually all parts of the society. The need for increased security originates from the emergence of new threats which differ from the traditional ones in such a way that they cannot be easily defined and are sometimes unknown or hidden in the “noise” of daily life. LÄS MER
3. Visual analytics for maritime anomaly detection
Sammanfattning : The surveillance of large sea areas typically involves the analysis of huge quantities of heterogeneous data. In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. LÄS MER
4. Anomaly detection in trajectory data for surveillance applications
Sammanfattning : Abnormal behaviour may indicate important objects and events in a wide variety of domains. One such domain is intelligence and surveillance, where there is a clear trend towards more and more advanced sensor systems producing huge amounts of trajectory data from moving objects, such as people, vehicles, vessels and aircraft. LÄS MER
5. Onboard condition monitoring of vehicle-track dynamic interaction using machine learning : Enabling the railway industry’s digital transformation
Sammanfattning : The railway sector’s reliability, availability, maintainability, and safety (RAMS) can significantly improve by adopting condition based maintenance (CBM). In the CBM regime, maintenance decisions are driven by condition monitoring (CM) of the asset. LÄS MER