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This article engages in a comparative journey exploring a number of well recorded significant episodes in which courts and judges have been thrust into a storm of controversies. Some of [...]

Judicial Recusal: Principles, Process and Problems by Grant Hammond (Oxford: Hart Publishing, 2009) pages i-xxiv, 1-183. Price £45.00 (hardcover). ISBN 978-1-84113-260-0. This handsome and excellent monograph provides a learned account [...]

Sequential minimal optimization (SMO) is one popular algorithm for training support vector machine (SVM), but it still requires a large amount of computation time for solving large size problems. This paper proposes one parallel implementation of SMO for training SVM. The parallel SMO is developed using message passing interface (MPI). Specifically, the parallel SMO first partitions the entire training data set into smaller subsets and then simultaneously runs multiple CPU processors to deal with each of the partitioned data sets. Experiments show that there is great speedup on the adult data set and the Mixing National Institute of Standard and Technology (MNIST) data set when many processors are used. There are also satisfactory results on the Web data set. Index Terms--Message passing interface (MPI), parallel algorithm, sequential minimal optimization (SMO), support vector machine (SVM).

A numerical study of the effects of mechanical shock on Radio Frequency (RF) connectors is presented. The finite element method is used to analyze the mechanical shock responses of RF connectors. Three commonly used shock profiles, namely the rectangular, the triangular, and the half-sine profiles are considered. The effect of added mass as well as the direction of mechanical shock are also analyzed and discussed. [DOI: 10.1115/1.1536950] Keywords: RF Connectors, Mechanical Shock, Dynamic Response, Finite Element Analysis