Sökning: "Event Log"
Visar resultat 1 - 5 av 48 uppsatser innehållade orden Event Log.
- Kandidat-uppsats, KTH/Geoinformatik
Sammanfattning : The Island of Tongatapu, Tonga, was struck by a tsunami on January 15, 2022. Internet was cut off from the island, which made remote sensing a valuable tool for the assessment of damages. Through land cover classification, change vector analysis and log-ratio image differencing, damages caused by the tsunami were assessed remotely in this thesis. LÄS MER
- Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap
Sammanfattning : Anomalies in data can be of great importance as they often indicate faulty behaviour. Locating these can thus assist in finding the source of the issue. Isolation Forest, an unsupervised machine learning model used to detect anomalies, is evaluated against two other commonly used models. The data set used were log files from a company named Trimma. LÄS MER
- Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
Sammanfattning : As more and more things digitize, the need of logging events and managing these logs increases. To be able to makes sense of these logs, a (Security Information and Event Management) SIEM tool is commonly used both to correlate the events and as a tool to analyze the logs. LÄS MER
- Magister-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper
Sammanfattning : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. LÄS MER
- Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
Sammanfattning : Construction equipment manufacturers want to reduce the downtime of their equipment by moving from the typical reactive maintenance to a predictive maintenance approach. They would like to define a method to predict the failure of the construction equipment ahead of time by leveraging the real- world data that is being logged by their vehicles. LÄS MER