Traditional Intrusion Detection Systems (IDSs) mostly work off-line, without any direct runtime interaction or coordination with the applications (and with other IDSs) that they aim to protect. Including intrusion detection and response in the repertoire of an adaptive application extends its range of adaptivity and increases its chances for survival. In this paper we show how intrusion detecti...

A huge amount of audio data is accessible to everyone by on-line or off-line information services and it is necessary to develop techniques to automatically describe and deal with this data in a meaningful way. In the particular context of music content processing it is important to take into account the melodic aspects of the sound. The goal of this article is to review the different technique...

Critical infrastructure systems (CIS) are complex large-scale systems which in turn require highly sophisticated supervisory control systems to ensure that high performance can be achieved and maintained under adverse conditions. The global CIS Real-Time Control (RTC) need of operating in adverse conditions involves, with a high probability, sensor and actuator malfunctions (faults). This probl...

The aim of this paper is to use the online change detection/ isolation methods in the framework of the condition-based maintenance. The purpose is to propose an adequate condition-based maintenance policy to a gradually deteriorating system with change of mode using on-line detection algorithms. The parameters defining the deterioration mode after the change can be unknown. The main purpose is ...

An online algorithm is proposed in this letter to optimize the Projection Matrix and Sparsifying Dictionary (PMSD) simultaneously on a large training dataset. A closedform solution is derived for optimizing the projection matrix with a fixed sparsifying dictionary and the stochastic method is used to optimize the sparsifying dictionary with a fixed optimized projection matrix on a large trainin...

The aim of this paper is to propose an adequate condition-based maintenance policy to a gradually deteriorating system using on-line detection algorithms. The originality of this work is due to the fact that the parameters defining the deterioration mode can be unknown. The main purpose is to estimate these unknown parameters in order to propose an adoptive condition based maintenance policy an...

Condition monitoring is an important issue in the maintenance of electrical machines. In the last years many methods of fault detection were cited in literature. Most of the newly proposed advanced methods are for on-line and non-invasive monitoring. This means that the faults can be detected already in their incipient phase during the usual work of the monitored machines. The aims of this pape...

We present a new methodology for detecting faults and abnormal behavior in production plants. The methodology stems from a joint project with a Danish energy consortium. During the course of the project we encountered several problems that we believe are common for projects of this type. Most notably, there was a lack of both knowledge and data concerning possible faults, and it therefore turne...

Many model pictures will be adopted in the network marketing of garment products because this method is the most intuitive. Human eyes can easily identify the garment styles, while computer programs struggle to automatically do so. This paper proposes a method for garment image segmentation in which the JSEG algorithm is applied to the image salient region segmentation, and the background regio...

We present a new methodology for detecting faults and abnormal behavior in production plants. The methodology stems from a joint project with a Danish energy consortium. During the course of the project we encountered several problems that we believe are common for projects of this type. Most notably, there was a lack of both knowledge and data concerning possible faults, and it therefore turne...