Identification of operating mode is a key step in the fault diagnosis of the hybrid systems. The novelty of this paper is the definition of a hybrid observer where discrete event is identified and then continuous model of a sub-system is selected for the design of observer using sliding mode technique. The observer output is finally used for mode identification and fault diagnosis. The proposed...

No-arbitrage macro-finance models use variance decompositions to gauge the extent of association between the macro variables and yields. We show that results generated by this approach are sensitive to the order of variables in the recursive identification scheme. In a four-factor model, one may obtain 18 different sets of answers out of 24 possible. We propose an alternative measure that is ba...

This paper presents insights gained while developing System Requirements Specification of a flight control system within a formal framework. SCR methodology has been used for the description of the requirements of Sensor Failure Detection and Identification Scheme. The emphasis is on the practical aspects and experience gained through the application of a formal method in developing the system ...

This paper proposes a rotor speed identification method for sensorless induction motor drives based on a model reference adaptive system (MRAS). In this scheme, the error between estimated stator current and real stator current is regarded as the system error to estimate the rotor speed. Adaptive fullorder flux observers for estimating the rotor speed are developed using Lyapunov’s stability th...

Recently, speed sensorless control of induction motor drives received great attention to avoid the different problems associated with direct speed sensors. However, low speed operation with robustness against parameter variations remains an area of research for sensorless systems. Stator resistance is of greatest importance for good operation of speed sensorless systems in low speed region. In ...

An Extranet is used to connect businesses with their suppliers, customers or other businesses that share common goals in a way that automates their administrative interactions using Internet technology. The security of the communications over Internet is considered an essential feature. To guarantee secure operation the aid of some user authentication infrastructure is needed. This paper introd...

Recently, Peer-to-peer (P2P) networks have been widely applied in streaming media, instant messaging, file sharing and other fields, which have occupied more and more network bandwidth. Accurately identify P2P traffic is very important to management and control P2P traffic. In this paper, we introduce HFBP, a novel P2P identification scheme based on the host level and flow level behavior profil...

Real-time social media usage is widely adapted today because it encourages quick spreading of news within social networks. New opportunities arise to use social media feeds to detect emergencies and extract crucial information about that event to support rescue operations. A major challenge for the extraction of emergency event information from applications like Twitter is the big mass of data,...

In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. This hierarchical region-based representation can be interpreted as a set of hierarchical regions stored in a tree structure, which succeeds in presenting: (i) the decomposition of the image in terms of coherent regions and (ii) the inclusion relations of the regions in...

Norm violations can be contagious. Previous research analyzed two mechanisms of why knowledge about others‟ norm violations triggers its spread: (1) Actors lower their subjective beliefs about the probability or severity of punishment, or (2) they condition their compliance on others‟ compliance. While earlier field studies could hardly disentangle both effects, we use a laboratory experiment w...