Abstract: Systems and techniques are described herein for an adaptive camera preview frame rate. For example, a computing device can compare a current image frame of a scene with a previous image frame of the scene. The computing device can determine whether the scene comprises an idle scene scenario based on comparing the current image frame with the previous image frame.

Abstract: An embodiment of the present invention is directed to evaluating and identifying optimal features to address and improve automation patching success. An embodiment of the present invention compares machine leaning algorithms and their accuracy in predicting the outcome of upcoming scheduled maintenance activities. Understanding that predicted outcome and the path that is generated to reach that outcome, the features that predispose an asset into a failure state can be addressed preemptively.

Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.

Abstract: The disclosure relates generally to knowledge retrieval using ontology-based context matching. Conventional knowledge retrieval methods and systems are based on generative context that is modeled loosely as some meta data annotations. The meta data annotations do not provide sufficient semantic basis for meaningful context matching, compromising safety aspect. Other typical systems are designed such that the context is encoded into knowledge elements themselves, thus matching is too strict and the knowledge can only be used in contexts that match exactly, compromising the reuse aspect. The disclosed method and system explicitly models the context in which knowledge is generated, and matches the problem context with the generative context of knowledge, with respect to the underlying domain ontology, to assess the degree of similarity between the two, which then provides the basis for ranking the suitability of different knowledge elements for the problem context.

Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.

Abstract: An example digital to time converter includes: a first switch having a first terminal, a second terminal, and a first control terminal configured to receive a control signal. A second switch having a third terminal coupled to second terminal, a fourth terminal, and a second control terminal configured to receive a divided clock signal. A third switch having a fifth terminal coupled to the second terminal and the third terminal, a sixth terminal, and a third control terminal configured to receive an inverted version of divided clock signal. A fourth switch having a seventh terminal coupled to the second terminal, an eighth terminal, and a fourth control terminal configured to receive an inverted version of control signal. A fifth switch having a ninth terminal coupled to the eighth terminal and a fifth control terminal configured to receive the inverted divided clock signal. A capacitor coupled to the sixth terminal.

Abstract: An example digital to time converter includes: a first switch having a first terminal, a second terminal, and a first control terminal configured to receive a control signal. A second switch having a third terminal coupled to second terminal, a fourth terminal, and a second control terminal configured to receive a divided clock signal. A third switch having a fifth terminal coupled to the second terminal and the third terminal, a sixth terminal, and a third control terminal configured to receive an inverted version of divided clock signal. A fourth switch having a seventh terminal coupled to the second terminal, an eighth terminal, and a fourth control terminal configured to receive an inverted version of control signal. A fifth switch having a ninth terminal coupled to the eighth terminal and a fifth control terminal configured to receive the inverted divided clock signal. A capacitor coupled to the sixth terminal.

Abstract: The disclosure relates generally to knowledge retrieval using ontology-based context matching. Conventional knowledge retrieval methods and systems are based on generative context that is modeled loosely as some meta data annotations. The meta data annotations do not provide sufficient semantic basis for meaningful context matching, compromising safety aspect. Other typical systems are designed such that the context is encoded into knowledge elements themselves, thus matching is too strict and the knowledge can only be used in contexts that match exactly, compromising the reuse aspect. The disclosed method and system explicitly models the context in which knowledge is generated, and matches the problem context with the generative context of knowledge, with respect to the underlying domain ontology, to assess the degree of similarity between the two, which then provides the basis for ranking the suitability of different knowledge elements for the problem context.

Abstract: A method and system is provided for transforming mesh for simulating manufacturing processes and products. The present application provides a method and system for transforming mesh for simulating at least one manufacturing process and at least one product comprises of selecting one or more transformation rules; executing the selected one or more transformation rules for obtaining a transformation chain; and executing the obtained transformation chain for obtaining a transformed mesh data using a transformation engine.

Abstract: An embodiment of the present invention is directed to evaluating and identifying optimal features to address and improve automation patching success. An embodiment of the present invention compares machine leaning algorithms and their accuracy in predicting the outcome of upcoming scheduled maintenance activities. Understanding that predicted outcome and the path that is generated to reach that outcome, the features that predispose an asset into a failure state can be addressed preemptively.

Abstract: The method(s) and system(s) for implementing extensibility of computational design and modelling of subject area on a computational platform in respect of a new subject in a subject area through a modelling schema includes populating the new subject in the model repository as data elements corresponding to the domain entity model of the domain entity meta model. The method includes generating a subject integration layer and a subject information interaction layer from the populated subject data elements and generating GUI screens for user interactions from the populated subject data elements. The method, further, includes integrating user determined external simulation tools with the computational platform by mapping the user determined external simulation tool parameters to the subject data elements. Subsequently, the method includes generating simulation tool adapters from said mapping to achieve said integration.

Abstract: A user transmits a request to an authentication service to access a managed directory. The request may include a first set of credentials usable by a managed directory service to authenticate the user. As a result of the first set of credentials being valid, the authentication service may prompt the user to provide a multi-factor authentication code, which may be used by an authentication server to further authenticate the user and enable the user to access the managed directory. The authentication service subsequently provides the multi-factor authentication code to the authentication server for validation. If the multi-factor authentication code is valid, the authentication service may enable the user to access the managed directory through an encrypted communications session.

Abstract: A method and system for quality control of a digital facility based on machine learning. The system connects a plurality of elements associated with a plurality of regions of the digital facility. The system allocates a unique identity to the plurality of elements. The system receives a set of data associated with the plurality of regions. The system collects a set of data associated with a plurality of micro descriptors. The system processes the second set of data to discover a plurality of patterns. The system predicts issues associated with the plurality of elements. The system assigns high severity issue to the one or more severe issues. The system stores information associated with the digital facility. The system updates the patterns associated with the plurality of elements. The system recommends characteristic parameters to the plurality of elements. The system notifies manpower associated with the digital facility.

Abstract: A method and system to conduct an audit for control and maintain the quality of a digital facility. The system executes instructions to causes one or more processors to perform a method. The method includes a first step of collecting a first set of data and a second step of creating one or more tasks. The method includes a third step of receiving a second set of data. The method includes a fourth step of analyzing the first set of data and the second set of data and a fifth step of assigning the one or more tasks. The method includes a sixth step of obtaining the third set of data. The method includes a seventh step of determining the deviation in the first set of data and the third set of data and an eighth step of rating a plurality of auditors.

Abstract: A method and system for quality control of a facility based on Internet of things. The system obtains data of the facility from plurality of architectural sources. The system creates a digital replica of the facility and defines plurality of control point levels for each region of the plurality of regions. The system allocates plurality of smart devices based on plurality of micro-descriptors. The system collects data associated with the facility and deciphers the data into one or more matrix. The system analyzes data with the pre-defined standard quality matrix in real time. The system assigns a degree of severity of the identified one or more issues. The system apprises one or more workforces associated with the facility to resolve the one or more issues including high degree of severity and the plurality of smart devices to take action to resolve the one or more issues.

Abstract: A system for quality control of a facility based on feedback from multiple sources. The system receives data of the facility from plurality of data sources. The system creates one or more digital replica of the facility and classifies each region of the plurality of regions into plurality of checkpoint levels. The system assigns a plurality of micro-descriptors to the last level of the plurality of checkpoint levels and collects a feedback for the plurality of micro-descriptors from plurality of sources. The system collects data associated with the facility including facility-specific matrix and manpower specific matrix. The system maps the facility specific matrix with pre-defined quality specific matrix and evaluates deviation of the mapped data to identify one or more issues associated with the facility. The system assigns degree of severity to the identified issue and alerts if degree of severity is high.

Abstract: An improved system and method for updating software is described. The system, upon detecting one or more changes within the set of eligibility attribute values associated with the one or more particular components of previously-provided software, selects a replacement component. The component is selected based on one or more changed eligibility attribute values within the set of eligibility attribute values, and the metadata of the user device. Using the replacement component, the replacement software is constructed and sent to the user device.

Abstract: A method and system is provided for transforming mesh for simulating manufacturing processes and products. The present application provides a method and system for transforming mesh for simulating at least one manufacturing process and at least one product comprises of selecting one or more transformation rules; executing the selected one or more transformation rules for obtaining a transformation chain; and executing the obtained transformation chain for obtaining a transformed mesh data using a transformation engine.

Abstract: A method for selecting a tag for a content item includes obtaining a first content item; obtaining data associated with a first user; based on the data associated with the first user, selecting a first tag for the first content item; and generating a second content item comprising (a) at least a portion of the first content item and (b) the first tag.

Abstract: An improved system and method for updating software is described. The system, upon detecting one or more changes within the set of eligibility attribute values associated with the one or more particular components of previously-provided software, selects a replacement component. The component is selected based on one or more changed eligibility attribute values within the set of eligibility attribute values, and the metadata of the user device. Using the replacement component, the replacement software is constructed and sent to the user device.