More than ever, asset operators and OEMs are investing in fleetwide monitoring systems. With the roll out of these monitoring systems, huge amounts of sensory data are generated. In a single Gigawatt power plant, asset monitoring systems sort through terabytes of sensory data per week. To contend with the volume and velocity of sensory data, analytics and data management techniques are employed...

background: noise prediction is considered to be the best method for evaluating cost-preventative noise controls in industrial workrooms. one of the most important issues is the development of accurate models for analysis of the complex relationships among acoustic features affecting noise level in workrooms. in this study, advanced fuzzy approaches were employed to develop relatively accurate ...

endoscopic retrograde cholangiopancreatography (ercp) is a specific technique used to study the pancreatobiliary system that is performed in hepatogastroenterology centers. recent, common uses for therapeutic ercp are largely due to advanced imaging techniques such as magnetic resonance cholangiopancreatography and endosonography. in the united states alone, over 500,000 therapeutic ercp are pe...

INTRODUCTION In unsuccessful vessel recanalization, clinical outcome of acute stroke patients depends on early improvement of penumbral perfusion. So far, mean arterial blood pressure (MAP) is the target hemodynamic parameter. However, the correlations of MAP to cardiac output (CO) and cerebral perfusion are volume state dependent. In severe subarachnoid hemorrhage, optimizing CO leads to a red...

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

Monitoring services are essential for advanced, reliable NoC systems. They should support traffic management, system reconfiguration and fault detection to enable optimal performance and reliability of the system. The paper presents a thorough description of NoC monitoring structures and studies earlier works. A distributed monitoring structure is proposed and compared against the structures pr...

Recent developments in data mining techniques for anomaly detection make it possible to use the wealth of available archived spacecraft system data to produce advanced system health monitoring applications. These “data driven” applications are capable of characterizing and monitoring interactions between multiple parameters and can complement existing practice to provide valuable decision suppo...

This study investigated the quality of metacognition at its inter-individual level, i.e., socially-shared metacognition, across two collaborative writing tasks of different difficulty levels among a cohort of Iranian EFL learners.  Moreover, it examined the correlation between the individual and the social modes of metacognition in writing.  The analysis of think-aloud protocols of a number of ...

Health monitoring systems based on Internet-of-things (IoT) have been recently introduced to improve the quality of health care services. However, the number of advanced IoT-based continuous glucose monitoring systems is small and the existing systems have several limitations. In this paper we study feasibility of invasive and continuous glucose monitoring (CGM) system utilizing IoT based appro...

Introduction Today, there is a growing interest in the use of hadrontherapy as an advanced radiotherapy technique. Hadrontherapy is considered a promising tool for cancer treatment, given its high radiobiological effectiveness and high accuracy of dose deposition due to the physical properties of hadrons. However, new radiation modalities of dose delivery and on-line beam monitoring play crucia...