This article proposes methods for monitoring Weibull processes when data collection is restricted to one observation per sampling period. Because the Weibull distribution is an asymmetric distribution, it is not appropriate to apply normal-based individuals-movingrange charts to Weibull data. A transformation of Weibull to approximate normality prior to applying normal-based methods has been su...

ARL developed computer models and modeling techniques based on the Method of Moments, and has used them for some time to study electrostatic fields associated with targets, terrain clutter, and sensors of interest. Recent extensions to these unique ARL capabilities allow some dynamic conditions to be modeled as a time series of quasi-static models. These new techniques have enabled us to study ...

The ADP-ribosylation factor-like (Arl) family of small G proteins are involved in the regulation of diverse cellular processes. Arl2 does not appear to be membrane localized and has been implicated as a regulator of microtubule dynamics. The downstream effector for Arl2, Binder of Arl 2 (BART) has no known function but, together with Arl2, can enter mitochondria and bind the adenine nucleotide ...

Most control charts for variables data are constructed upon the assumption that the observations from a process are independent. In most applications however this assumption does not hold. The performance of process control schemes have to be evaluated in such circumstances. However most of the work published deal with shifts in the location of correlated processes. In this paper, the ARL perfo...

Resumen. Debido a la gran popularidad que han adquirido actualmente las redes sociales entre personas, empresas, figuras públicas etc., surge la necesidad de contar con métodos automáticos que faciliten la búsqueda, recuperación y análisis de grandes cantidades de información. Ante esto, el Analista de Reputación en Ĺınea (ARL) enfrenta el reto de identificar temas relevantes alrededor de un ev...

ADP-ribosylation factor-like (ARL) proteins are small GTPases that undergo conformational changes upon nucleotide binding, and which regulate the affinity of ARLs for binding other proteins, lipids or membranes. There is a paucity of structural data on this family of proteins in the Kinetoplastida, despite studies implicating them in key events related to vesicular transport and regulation of m...

This study investigates the statistical process control application for monitoring queue length data in M/G/1 systems. Specifically, we studied the average run length (ARL) characteristics of two different control charts for detecting changes in system utilization. First, the nL chart monitors the sums of successive queue length samples by subgrouping individual observations with sample size n....

This paper introduces adaptive reinforcement learning (ARL) as the basis for a fully automated trading system application. The system is designed to trade FX markets and relies on a layered structure consisting of a machine learning algorithm, a risk management overlay and a dynamic utility optimization layer. An existing machine-learning method called recurrent reinforcement learning (RRL) was...