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Diagnosis Data Articles & Analysis
11 articles found
In highly regulated industries such as pharmaceuticals, biotechnology, and advanced manufacturing, contamination control is non-negotiable. Airborne particle monitoring plays a central role in ensuring cleanroom environments meet strict regulatory requirements like EU GMP Annex 1: 2022 and ISO 14644. One of the most effective tools for achieving continuous, reliable oversight is remote ...
The real-time collection of these data provides detailed information support for the operation of power system. 2. Monitoring Scope: the device can cover the important distribution circuit, equipment, environmental monitoring, video monitoring and other aspects of the distribution room to achieve all-round, all-weather real-time monitoring.Second, intelligent ...
Principle of implementation for smart energy meter self diagnosis. 1. Data collection and processing: Smart energy meters collect key parameters such as current, voltage, power factor, etc. of devices in real-time through high-precision measuring chips and sensors. ...
Internet of Things (IoT) IoT is the process of connecting physical objects embedded with sensors, software and other technologies to the Internet to exchange data. It's a tool countless industries have adopted, and in the HVAC industry, it's being used to improve preventative maintenance, remote diagnosis and monitoring, and energy efficiency. With IoT sensors ...
PATIENTS: Fifty patients weighing 3-20 kg with baseline saturations less than 90% undergoing surgical or catheterization procedure. MEASUREMENTS AND MAIN RESULTS: Data collected included demographics, diagnosis, continuous saturations from three different pulse oximeters (Masimo LNCS [Masimo, Irvine, CA], Masimo Blue [Masimo], and Nellcor Max-I [Medtronic, ...
Abstract Purpose This case report demonstrates the effectiveness of a combined unique soft contact lens design and hypertonic saline at reducing corneal edema symptoms. In addition, this case shows that using tomographic data is invaluable for detecting and monitoring of these presentations. ...
Data consumers such as big pharma thus need to find innovative solutions that collate fragmented data successfully while keeping data privacy and security at their core. ...
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This article deals with a method based on vibration data measured on electronic systems to detect, identify and localise defects generated in these systems, in order to improve their reliability. The diagnosis procedure is based on the combination of wavelet transforms and neural networks; this procedure is applied to a simplified printed circuit ...
A fundamental requirement on data to be used for the training of an empirical diagnostic model is that the data has to be sufficiently similar and consistent with what will be observed during on-line monitoring. In other words, the training data has to "cover" the data space within which the monitored process operates. ...
The diagnosis of clinically mute diabetes mellitus (DM) is based on a nominal concentration of fasting peripheral venous plasma glucose (f-vPG) at ≥7.0mmol/l, to be exceeded by first and confirmatory measurement. Aim: to identify error sources in the clinical use of biochemical data, to use the diagnostic concept for clinically mute DM. Materials and methods: ...
These systems effectively perform automatic collection & diagnosis of consumption data from metering devices and transfers that to a central database for one-way communication and billing. ...