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Extreme value theory (EVT) is the theory of modelling and measuring events which occur with very small probability. This implies its usefulness in risk modelling as risky events happen with low probability. In our study, we have focused on the prices of Gold and Silver which have been one of the preferred investments over the centuries. Initially, univariate analysis is carried out to model the extreme...
We provide new analytical results concerning the spread of information or influence under the linear threshold social network model introduced by Kempe et al. in, in the information dissemination context. The seeder starts by providing the message to a set of initial nodes and is interested in maximizing the number of nodes that will receive the message ultimately. A node's decision to forward the...
Model based approach for damage fault diagnostic solution and life prognostic methodology is addressed in the paper. A life cycle management model and a working algorithm for coated hot section gas turbine blades are presented. Physics based modeling is developed with experimental thermally grown oxide damage data, while the fracture mechanics model is developed analytically for three layer thermal...
Modern embedded devices are increasingly becoming multiprocessor with the need to support a large number of applications to satisfy the demands of users. Due to a huge number of possible combinations of these multiple applications, it becomes a challenge to predict their performance. This becomes even more important when applications may be dynamically started and stopped in the system. Since modern...
We consider the simplest IEEE 802.11 WLAN networks for which analytical models are available and seek to provide an experimental validation of these models. Our experiments include the following cases: (i) two nodes with saturated queues, sending fixed-length UDP packets to each other, and (ii) a TCP-controlled transfer between two nodes. Our experiments are based entirely on Aruba AP-70 access points...
We develop analytical models for estimating the energy spent by stations (STAs) in infrastructure WLANs when performing TCP controlled file downloads. We focus on the energy spent in radio communication when the STAs are in the Continuously Active Mode (CAM), or in the static Power Save Mode (PSM). Our approach is to develop accurate models for obtaining the fraction of times the STA radios spend...
We provide a simple and accurate analytical model for multi-cell IEEE 802.11 WLANs. Our model applies if the cell radius, R, is much smaller than the carrier sensing range, Rcs. We argue that, the condition Rcs >> R is likely to hold in a dense deployment of access points (APs). We develop a scalable cell level model for such WLANs with saturated nodes as well as for TCP-controlled long file...
The network scenario is that of an infrastructure IEEE 802.11 WLAN with a single AP with which several stations (STAs) are associated. The AP has a finite size buffer for storing packets. In this scenario, we consider TCP controlled upload and download file transfers between the STAs and a server on the wireline LAN (e.g., 100 Mbps Ethernet) to which the AP is connected. In such a situation, it is...
High hospital bed occupancy levels have resulted into a shortage of beds to meet increasing demand. This paper describes a bed prediction model in aiding hospital planners to anticipate bed demand so as to manage resources efficiently. Through the regression models, it was found that the number of weekly mean occupied beds is related to both the rainfall and the data on Dengue cases as provided by...
Maintaining seamless end-to-end connectivity is a challenge in multi-hop networks because of frequent topology changes due to user mobility. In this article, we propose a predictive handoff scheme to minimize the packet loss during handoff and also the number of handoffs in a multi-hop heterogeneous wireless network. A new approach is proposed to estimate the connection stability of a node and initiate...
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