Editorial ISTRY Special Issue

Editorial by Dr Guillemin, Head of the Neuroinflammation Group, University of New South Wales, Department of Pharmacology, Sydney, NSW, Australia

Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World

We address the two fundamental problems of spatial field reconstruction and sensor selection in heterogeneous sensor networks: (i) how to efficiently perform spatial field reconstruction based on measurements obtained simultaneously from networks with both high and low quality sensors; and (ii) how to perform query based sensor set selection with predictive MSE performance guarantee. For the first problem, we developed a low complexity algorithm based on the spatial best linear unbiased estimator (S-BLUE). Next, building on the S-BLUE, we address the second problem, and develop an efficient algorithm for query based sensor set selection with performance guarantee. Our algorithm is based on the Cross Entropy method which solves the combinatorial optimization problem in an efficient manner.Comment: Presented at NIPS 2017 Workshop on Machine Learning for the Developing Worl

Pirart, Éric (éd.) Le sort des Gâthâs et autres études iraniennes in memoriam Jacques Duchesne-Guillemin. Leuven-Paris-Walpole, MA : Peeters Publishers, 2013 (Acta Iranica 54)

peer reviewedEl libro consiste en una recopilación de una serie de artículos que fueron presentados en el coloquio y homenaje al iranista e indoeuropeísta Jacques Duchesne-Guillemin, con motivo de su 100 cumpleaños, realizado en la Universidad de Lieja los días 22-23 de abril de 2010 bajo el título de: Questions zoroastriennes II. Le sort de Gâthâs. En esta recopilación participan investigadores de primer orden en el mundo de la avestología, entre otros, P.O. Skjærvø, J. Kellens, A. Panaino, A. Cantera, A. Hintze y el propio recopilador É. Pirart