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Satellite battery fault detection using Naïve Bayesian classifier
2019 Edition, March 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Control ground station performs satellite commanding and onboard subsystems health monitoring in addition to satellite tracking (orbit determination) and attitude determination based on received telemetry. The traditional approach for satellite health monitoring is to check...

A distributed Bayesian approach to fault detection in sensor networks
2012 Edition, December 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Sensor networks are widely used in industrial and academic applications as the pervasive sensing module of an intelligent system. Sensor nodes may occasionally produce incorrect measurements due to battery depletion, dust on the sensor, manumissions and other causes. The aim of this...

A classification-based fault detection method for Continuous glucose monitoring (CGM)
2016 Edition, June 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Diabetes is a group of metabolic diseases which is harm to human health seriously. Continuous glucose monitoring (CGM) plays an important role in the treatment of diabetes. However, false information of glucose, caused by the faults of CGM, will reduce the treatment effect, and even lead...

Automatic fault detection with Bayes method in university campus network
2017 Edition, September 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In recent years, the use of the internet has become widespread with developing technologies. Internet is used for many needs, especially social media. Today, internet is needed for remote use of electronic devices used in homes and offices. Continuous access to the...

Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier
2019 Edition, October 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a novel method to detect anomaly using Fuzzy AdaBoost and Dynamic Naive Bayesian classifier. Dynamic Naive Bayesian Classifier (DNBC) is an extension of Hidden Markov Models (HMM) that is used here to model multivariate...

Real-time and Low-memory Multi-faces Detection System Design with Naive Bayes Classifier Implemented on FPGA
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In recent years, face detection has been widely applied to a variety of fields, such as face recognition, image focusing, and surveillance systems. This study proposes a real-time multi-faces detection system based on naive Bayesian classifier using Field...

Detection System for Detecting Worms using Hybrid Algorithm of Naïve Bayesian classifier and K-Means
2019 Edition, August 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

According to a huge rampage of malware attacks especially worms which the attackers use in their attacks to the network. Detection systems are needed to stop these worm attacks. In this paper, we proposed and designed a detection system that detects worms depending on a dataset...

Anomaly based intrusion detection in wireless networks using Bayesian classifier
2012 Edition, October 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Ad hoc wireless network with black hole attacks, denial of service attacks and malicious attacks are investigated to study if we can detect harmful activities in a timely manner. A popular simulator NS2 was used to create a controlled wireless network environment. The network was built with...

An Android Malware Detection Approach Using Bayesian Inference
2016 Edition, December 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Android malware detection has been a popularre search topic due to non-negligible amount of malware targeting the Android operating system. In particular, the naive Bayes generative classifier is a common technique widely adopted in many papers. However, we found that the...

Design of Hypervelocity-Impact Damage Evaluation Technique based on Bayesian classifier of Transient Temperature Attributes
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

With the rapid increasement of space debris on earth orbit, the hypervelocity-impact (HVI) of space debris can cause some serious damages to the spacecraft, which can affect the operation security and reliability of spacecraft. Therefore, the damage detection of the spacecrafts has become an...

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