Ctyptosporidium has been recognized as an important waterborne agent of gastroenteritis and a biological contaminant in drinking water. The widespread presence of Cryptosporidium in surface source water and either untreated or insufficiently treated drinking water has led to Cryptosporidium outbreaks in the United States and worldwide.

A mixture of n-dodecane and m-xylene is investigated as a diesel fuel surrogate for compression ignition (CI) engine applications. Compared to neat n-dodecane, this binary mixture is more representative of diesel fuel because it contains an alkyl-benzene which represents an important chemical

The development of surrogate mixtures that represent gasoline combustion behavior is reviewed.1 Combustion chemistry behavioral targets that a surrogate should accurately reproduce, particularly for emulating homogeneous charge compression ignition (HCCI) operation, are carefully identified. Both

An effective complex multitask Bayesian compressive sens-ing (CMT-BCS) algorithm is proposed to recover sparse or group sparse complex signals. The existing multitask Bayesian compressive sensing (MT-CS) algorithm is power-ful in recovering multiple real-valued sparse solutions. How-ever, a large

representation for motion fields based on wavelet bases, and approximate the compressibility of their coefficients with a piecewise smooth surrogate function that yields an objective function similar to classical optical flow formulations. We then show how to quantize and encode such coefficients with adaptive

, as the pruned, compressed surrogates are smaller, 3-4 times as many documents can be cached. 1

Abstract There is growing interest for using alternative fuels in compression ignition (CI) engines. Among them, blends of Fischer-Tropsch (F-T), biodiesel, and ethanol seem to be a promising fuel for diesel engine applications. An advanced control of current diesel engines requires a detailed

is implemented on-board a microcontroller similar to those used in embedded SHM sensor nodes. The sensor node is tested in a surrogate SHM application using acceleration measurements. Currently the prototype compressed sensor is capable of collecting compressed coefficients from measurements and sending them

Strategies and recommendations for performing skeletal reductions of multicomponent surrogate fuels are presented, through the generation and validation of skeletal mecha-nisms for a three-component toluene reference fuel. Using the directed relation graph with error propagation and sensitivity

Abstract — Sparsity has been widely exploited for exact recon-struction of a signal from a small number of random measure-ments. Recent advances have suggested that structured or group sparsity often leads to more powerful signal reconstruction tech-niques in various compressed sensing (CS) studies