Recently technology developments enable the production and deployment of sensor networks that provide outstanding ability to monitor discrete and continuous phenomena in physical space. From a database perspective, a sensor network can be seen as a virtual distributed database system (DBS) with sensor nodes that are tiny DBS themselves. Thus, a user can interact with the sensor network as a who...

Abstract— An important aspect of network management is fault management, i.e., determining, locating, isolating, and correcting faults in the network. We study modeling of communication network protocols, and their fault detection, fault identification and fault location in the discrete event systems diagnosis framework. Our approach provides a systematic way of performing fault diagnosis in ne...

This paper introduces the concept of Moving Object (MO) modelling as a means of managing the uncertainty in the location tracking of human moving objects travelling on a network. For previous movements of the MOs, the uncertainty stems from the discrete nature of location tracking systems, where gaps are created among the location reports. Future locations of MOs are, by definition, uncertain. ...

in this paper, a novel multi-objective bus stop location model is proposed, which considers not only the coverage of demand and minimization of access time but also the necessities of suitable stops for transit network design phase. three objective functions are considered including minimizing (i) sum of the total access distance (time), (ii) the weighted combination of stops, and (iii) the num...

sink location is considered as a basic service in geographic routing in wireless sensor networks. obtaining the location of sink node by source node using an efficient method with low complexity has always been a challenging issue in research. in this paper, a sink location algorithm based on fano plane is proposed. the research challenge is how to ensure the intersection of two slq and sla rou...

accurate groundwater level modeling and forecasting contribute to civil projects, land use, citys planning and water resources management. combined wavelet-artificial neural network (wann) model has been widely used in recent years to forecast hydrological and hydrogeological phenomena. this study investigates the sensitivity of the pre-processing to the wavelet type and decomposition level in ...

The Hartley transform, a real-valued alternative to the complex Fourier transform, is presented as an efficient tool for the analysis and simulation of earthquake accelerograms. This paper is introduced a novel method based on discrete Hartley transform (DHT) and radial basis function (RBF) neural network for generation of artificial earthquake accelerograms from specific target spectrums. Acce...

Abstract: In this research, at first, the natural frequencies of a cracked beam are obtained analytically, then, location and depth of a crack in beam is identified by neural network method. The research is applied on a beam with an open crack for three different boundary conditions. For this purpose, at first, the natural frequencies of the cracked beam are obtained analytically, to get the ex...