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In “Optimized slowdown in real-time task systems”, Jejurikar and Gupta investigated energy savings due to optimal slowdown of periodic tasks in real-time task systems, where tasks have varying power c...
This chapter concerns the use of convex optimization in real-time embedded systems, in areas such as signal processing, automatic control, real-time estimation, real-time resource allocation and decis...
Convex optimization has been used in signal processing for a long time, to choose coefficients for use in fast (linear) algorithms, such as in filter or array design; more recently, it has been used t...
In this paper we propose a method to optimize operation of a thermal energy storage (TES) system for heating, ventilation and air conditioning (HVAC) in terms of electricity cost. We pose this optimiz...
This document details the construction of a model for tracking a position and velocity state from GPS observations, with the intention of efficient, parallel online learning of state-dependent paramet...
We develop algorithms for performing semiparametric regression analysis in real time, with data processed as it is collected and made immediately available via modern telecommunications technologies. ...
Although human resource management (HRM) is integral to organisational success and the media frequently report related events, no studies have measured such coverage. The literature also does not refl...
We study open multiclass queueing networks with renewal arrival streams and general service time distributions. Upon arrival to the network, customers from each class are assigned a random deadline...
This paper analyses the performance of forecasts of real economic activity based on the Japanese official business indices in a real-time framework. As in other countries, preliminary numbers of the b...
The paper focuses on the adaptation of local polynomial filters at the end of the sample period.We show that for real time estimation of signals (i.e., exactly at the boundary of the time support) w...

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