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Many medical control devices used in case of critical patients have model predictive controllers (MPC). MPC estimate the drug level in the parts of patients body based on their human physiology model to either alarm the medical authority or change the drug infusion rate. This model prediction has to be completed before the drug infusion rate is changed i.e. every few seconds. Instead of mathematical...
Simulating cyber-physical energy systems such as data centers requires the characterization of the energy interactions between the computing units and the physical environment. Such interactions involve discrete events such as changes in operating modes of cooling units, and also transient processes such as heat flow. An event-based simulator fails to capture continuous transient effects while a time-stepped...
RF-based localization has gained popularity as a low-cost solution to support position awareness in ad hoc networks. The received signal strength (RSS) measured by pairs of nodes can be used to obtain either range estimates or connectivity information. It is not clear, however: 1) when a range-based scheme should be used in favor of a connectivity-based one, and 2) how to optimally convert the RSS...
Cloud is the state-of-the-art back-end infrastructure for most large-scale web services. This paper studies what effect energy proportionality has on the energy savings of cloud data center management, under various equipment compositions and power densities. Our findings show that although it is a common expectation that improved energy proportionality should diminish the benefits of power management's...
With the increasing use of adaptive body biases in high-performance designs, it has become necessary to build timing models that can include these effects. State-of-the-art timing tools use current source models (CSMs), which have proven to be fast and accurate. However, a straightforward extension of CSMs to incorporate multiple body biases results in unreasonably large characterization tables for...
This paper presents how the stochastic simulation based genetic algorithm (GA) can be used to the fuzzy goal programming (FGP) formulation of a chance constrained multiobjective decision making (MODM) problem. In the proposed approach, a stochastic simulation to the chance constraints having the continuous random parameters is introduced first to determine the candidate solutions in the decision making...
We propose a novel framework to critically analyze a given MAC protocol for wireless ad hoc networks with respect to its correctness criteria and performance metrics. The framework is composed of wanted state generation and test scenario generation algorithms. The wanted state generation algorithm generates a set of conditions that meet our study objective. The test generation algorithm then generates...
Slew rate determines the ability of a device to handle the varying signals. Determination of the slew rate to a good proximity is thus essential for efficient design of high speed CMOS integrated circuits. This in turn reduces the output switching surges in the device. Interconnect slew has become a crucial bottleneck for any high density and high speed VLSI circuits. In this paper we have proposed...
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