Sökning: "Avvikelsedetektion"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet Avvikelsedetektion.

1. 1. Anomaly Detection on Embedded Sensor Processing Platform

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yichen Cao; [2021]
   Nyckelord :Anomaly Detection; ARIMA; STL; LSTM; VAR; Avvikelsedetektion; ARIMA; STL; LSTM; VAR;

   Sammanfattning : Embedded platforms are often used as a sensor data processing node to collect data and transmit the data to the remote server. Due to the poor performance and power limitation, data processing was often left to the remote server. LÄS MER

3. 2. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Weaam Bayaa; [2021]
   Nyckelord :MDS; GMMHMM; PMP; Machine Learning; Bayesian information Criterion BIC ; Platoon Behavior Recognition; MDS; GMMHMM; PMP; Maskininlärnings; BIC; Plutonbeteendeigenkänning;

   Sammanfattning : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). LÄS MER

4. 3. Anomaly-based intrusion detection using Tree Augmented Naive Bayes Classifier

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Philip Wester; [2021]
   Nyckelord :Intrusion detection; Anomaly detection; Tree Augmented Naive Bayes; Machine learning; Network based intrusion detection.; Intrångsdetektion; Avvikelsedetektion; Tree Augmented Naive Bayes; Maskininlärning; Nätverksbaserad intrångsdetektion;

   Sammanfattning : With the rise of information technology and the dependence on these systems, it becomes increasingly more important to keep the systems secure. The possibility to detect an intrusion with intrusion detection systems (IDS) is one of multiple fundamental technologies that may increase the security of a system. LÄS MER

5. 4. Automated advanced analytics on vehicle data using AI

   Master-uppsats, KTH/Fordonsdynamik

   Författare :Simin Zhang; [2020]
   Nyckelord :Anomaly detection; Machine learning; Controller Area Network; User function level failure; Avvikelsedetektion; Maskininlärning; Controller Area Network; Fel på användarfunktionsnivå;

   Sammanfattning : The evolution of electrification and autonomous driving on automotive leads to the increasing complexity of the in-vehicle electrical network, which poses a new challenge for testers to do troubleshooting work in massive log files. This thesis project aims to develop a predictive technique for anomaly detection focusing on user function level failures using machine learning technologies. LÄS MER

7. 5. Anomaly Detection and Revenue Loss Estimation in Accounting Data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Edholm; [2020]
   Nyckelord :Machine Learning; Anomaly Detection; Regression; Neural Network; Invoice; Revenue Loss; Maskininlärning; Avvikelsedetektion; Regression; Neuralnät; Faktura; Omsättningsförlust;

   Sammanfattning : Loss of revenue due to erroneous invoicing is a serious problem for many companies in the repair and maintenance industry. Revenue loss can occur in many ways, for example by consistently charging the wrong hourly price for services. LÄS MER