Wireless energy transfer (WET) is a promising solution to enable massive machine-type communications (mMTC) with low-complexity and low-powered wireless devices. Given the restrictions of devices, instant channel state information at transmitter (CSIT) not expected be available in practical WET-enabled mMTC. However, because it common that terminals appear spatially clustered, some degree spati...

Random notes on the useage of the free energy in statistical physics and inference. Taken from David's book Chapter 31 on Ising models, Radford Neal's review of MCMC methods, and Yedidia, Freeman and Weiss's introduction to understanding belief propogation and its generalisations. First of all we briefly summarise statistical physics: micro-state = exact microscopic description of a physical sy...

SEA and FEA have become established engineering methods for noise and vibration analysis. They are contrasting approaches targeted at the high and low frequency ends of the analysis spectrum. This paper concerns the use of FE methods in SEA. Attention is focussed on two areas. The first concerns the use of FE models to predict SEA parameters, such as coupling loss factors. The second area conce...

This paper is concerned with the validity domain of Statistical Energy Analysis (SEA) which is defined in terms of four criteria. The mode count N and the modal overlap M must be high, the normalized attenuation factor m̄ and the coupling strength γ must be small. The application of dimensional analysis on the governing equations of plates gives the space of dimensionless parameters in which the...

This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis. They are used to perform complex classification or regression by intelligent pattern recognition. This kind of artificial intelligence is achieved by the principle “learning from examples”: The examples describe the relationship between ...

Energy efficiency is a growing concern in modern datacenters. As Internet services increasingly rely on MapReduce workloads to fuel their flagship businesses, there is a growing need for better MapReduce energy efficency evaluation mechanisms. We present a statistics-driven workload generation framework that distills summary statistics from production MapReduce traces and realistically reproduc...

Energy is a critical resource in many computing systems, motivating the need for energy-efficient software design. This work proposes a new approach, energy-driven statistical profiling, to help software developers reason about the energy impact of software design decisions. We describe a prototype implementation of this approach for the Itsy pocket computing platform. Our experimental results ...