Abstract: Described embodiments include a fault monitoring system comprising a fault logic circuit having a fault logic input adaptable to be coupled to sensor inputs, and first and second fault logic outputs. The fault logic circuit compares a plurality of data values provided by respective sensor inputs to respective fault thresholds, and provides respective fault signals at the first fault logic output responsive to a fault event in which a respective data value exceeds its respective fault threshold. A timer has a timer input coupled to the reset output, and a timer output. A data register has a first data register input coupled to the write control output, a second data register input coupled to the timer output, and a data register output. The data register receives fault data that includes an event identifier, a timer value, and a timer expiration indicator.

Abstract: The present disclosure is related to a method and a system for preventing failures of a product of real production environment in virtual testing environment. A virtual process corresponding to each physical process related to the product is created and replicated in real-time in the virtual testing environment based on input data related to each physical process. Further one or more errors that occurred during implementation of each virtual process and corresponding error pattern are detected and the error pattern corresponding to each of the one or more errors is analyzed with corresponding historical pattern to predict the failures of the product. Finally a solution for resolving the one or more errors is determined to prevent occurrence of the predicted failures in each physical process. The present disclosure provides accurate failure predictions and accurate remedies for preventing the predicted failures based on real-time data.

Abstract: A method of assessing the quality of an retinal image (such as a fundus image) includes selecting at least one region of interest within a retinal image corresponding to a particular structure of the eye (e.g. the optic disc or the macula), and a quality score is calculated in respect of the, or each, region-of-interest. Each region of interest is typically one associated with pathology, as the optic disc and the macula are. Optionally, a quality score may be calculated also in respect of the eye as a whole (i.e. over the entire image, if the entire image corresponds to the retina).

Abstract: A method of assessing the quality of an retinal image (such as a fundus image) includes selecting at least one region of interest within a retinal image corresponding to a particular structure of the eye (e.g. the optic disc or the macula), and a quality score is calculated in respect of the, or each, region-of-interest. Each region of interest is typically one associated with pathology, as the optic disc and the macula are. Optionally, a quality score may be calculated also in respect of the eye as a whole (i.e. over the entire image, if the entire image corresponds to the retina).