In order to evaluate the Cobas Argos 5 Diff, a five-part differential haematological analyser, we performed a comparative study using our current analyser, the Toa E-5000, and the manual leukocyte differential. Samples (n = 593) were collected from various departments in our hospital and were tested on both Cobas Argos 5 Diff and Toa E-5000. Regression lines were calculated for all standard hae...

An innovative strategy for the design of low-profile wide-angle impedance matching (WAIM) superstrates to active return loss (ARL) stability scanned microstrip-printed periodic phased arrays (PPAs) is presented. Toward this end, an instance System-by-Design (SbD) paradigm exploited and a task-oriented formulation WAIM synthesis problem proposed. More specifically, customized global optimization...

In some process monitoring situations, consecutive measurements are spaced widely apart in time, making monitoring process aim and spread difficult. This study uses three cases to compare the effectiveness of two such monitoring schemes, i.e., the X chart alone (X-only chart) and the Individuals and Moving Range Chart Combination (X/MR chars), in terms of Average Run Length (ARL) after designin...

Computing Bias-Optimal Policies Sridhar Mahadevan Department of Computer Science and Engineering University of South Florida Tampa, Florida 33620 [email protected] Abstract Average-reward reinforcement learning (ARL) is an undiscounted optimality framework that is generally applicable to a broad range of control tasks. ARL computes gain-optimal control policies that maximize the expected pa...

To evaluate the surveillance performance of a control chart with charting statistic sum log likelihood ratios in statistical process (SPC), this paper, we give proof procedure based on Markov chains for asymptotic estimation average run length (ARL) kind chart. The out-of-control ARL 1 </msub...

This paper presents a new in-place pseudo linear radix sorting algorithm. The proposed algorithm, called MSL (Map Shuffle Loop) is an improvement over ARL (Maus, 2002). The ARL algorithm uses an in-place permutation loop of linear complexity in terms of input size. MSL uses a faster permutation loop searching for the next element to permute group by group, instead of element by element. The alg...

As part of the Face Recognition Technology (FERET) program, the U.S. Army Research Laboratory (ARL) conducted supervised government tests and evaluations of automatic face recognition algorithms. The goal of the tests was to provide an independent method of evaluating algorithms and assessing the state of the art in automatic face recognition. This report describes the design and presents the r...

Real-time delivery of products in the context of stochastic demands and multiple vehicles is a difficult problem, as it requires the joint investigation of the problems in inventory control and vehicle routing. We model this problem in the framework of Average-reward Reinforcement Learning (ARL) and present experimental results on a modelbased ARL algorithm called H-Learning with piecewise line...