Abstract: The present disclosure relates to a device and a system for testing flatness. The device for testing flatness includes a base, a testing platform, and a ranging sensor. The testing platform is assembled on the base. The testing platform includes a supporting structure. The supporting structure is disposed on the side of the testing platform away from the base and is used to support a to-be-tested board. The structure matches the structure of the to-be-tested board. The ranging sensor is disposed on the side of the testing platform away from the base. After the to-be-tested board is placed on the testing platform, the ranging sensor is used to test distances between a number N of to-be-tested positions on the to-be-tested board and the ranging sensor, to obtain N pieces of distance information, and the N pieces of distance information are used to determine the flatness of the to-be-tested board, where N is an integer greater than 2.

Abstract: Disclosed are an ONU migration detection method, OLT, ONU and storage medium. The ONU migration detection method may include: receiving first identification information from an ONU, the first identification information is configured to uniquely identify a historical position accessed by the ONU; acquiring second identification information according to a current position of the ONU, the second identification information is configured to uniquely identify the current position; and comparing the first identification information with the second identification information, and determining that ONU migration occurs in response to the first identification information being mismatched with the second identification information.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. In one example, the suitable instance is a frame or sequence of frames that contain an image of a page or side of the printed artifact and that do not exhibit a page-turn event. In response to identification of the suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

Abstract: A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. In one example, the suitable instance is a frame or sequence of frames that contain an image of a page or side of the printed artifact and that do not exhibit a page-turn event. In response to identification of the suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

Abstract: A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. In one example, the suitable instance is a frame or sequence of frames that contain an image of a page or side of the printed artifact and that do not exhibit a page-turn event. In response to identification of the suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

Abstract: A method of evaluating managed care organizations (MCOs) includes acquiring medical data associated with patients' healthcare encounters with the MCOs, calculating a health risk score of a subpopulation using patient characteristic data included in the medical data, providing encounter data included in the medical data and the health risk score as input to analytic processes that track services provided by the MCOs, and generating a risk-adjusted performance metric of the MCOs by the analytic processes. The risk-adjusted performance metrics relate to categories of concern. The method further includes generating a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population, assigning a weight to each of the standardized scores based on an importance level of each category of concern, and generating a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: A method and device for aligning an image of a printed substrate using a mobile device. The method includes receiving, by an image capturing device, an image stream of a printed substrate; determining, by a processing device operably connected to the image capturing device, a location and a geometry of the printed substrate from the image stream; displaying, on a display operably connected to the processing device, the image stream; overlaying, by the processing device, at least a first visual marker onto the printed substrate as displayed in the image stream using the location and geometry; and instructing, by the processing device, a user of the mobile device to move the mobile device to align the mobile device and the printed substrate. The device includes the various hardware components configured to perform the method of aligning.

Abstract: A computer system configured to determine healthcare accessibility in a geographic region includes a memory storing a computer program, and a processor configured to execute the computer program. The computer program is configured to determine an expected level of care necessary for each member in the geographic region relating to a medical service type using member demographic data, aggregate the expected level of care necessary for each member to determine a total level of demand of the medical service type, and construct a ball tree representation indicating the healthcare accessibility for the medical service type on a display in real-time.

Abstract: A computer system configured to improve health outcomes and reduce medical service costs includes a memory storing a computer program and a processor that executes the computer program. The computer program receives a medical inquiry, extracts a keyword using natural language processing (NLP), selects a category of concern indicated by the medical inquiry from a library using the keyword, determines leading factors contributing to the category of concern based on a statistical model analysis, selects analytic modules from a library that receive at least one of the leading factors as an input parameter or produce at least one of the leading factors as an output parameter, and generates a recommendation including a listing of the selected analytic modules and/or a constructed workflow including at least two of the selected analytic modules chained together via respective input parameters and output parameters of the at least two selected analytic modules.

Abstract: A method of automatically identifying a border in a captured image may include capturing an image of a target by an image sensor of an electronic device, and, by one or more processors, processing the image to automatically detect a border of the target in the image by applying an automatic border detection method to the image. The method may include presenting the image of the target to a user via a display of the electronic device so that the presented image comprises a visual depiction of the detected border, receiving an adjustment of the border from the user, determining whether to update the default parameters based on the received adjustment, in response to determining to update the default parameters, determining one or more updated parameters for the automatic border detection method that are based on, at least in part, the received adjustment, and saving the updated parameters.

Abstract: A mobile electronic device application uses various hardware parameters for operation. The application leverages calibration data from other users to determine what the parameters should be for the particular device model on which the application is installed. The application queries a cloud-based data store by sending the model and a hardware-variable parameter to the data store. If a value for the parameter is available in the data store, the application will receive it from the data store and use it in operation. If the value is not available, the application will prompt the user to calibrate the application. The application will use the calibration results to identify a setting, and it will send the setting to the data store for use by other instances in which the application is installed on the same model device.

Abstract: A mobile electronic device application uses various hardware parameters for operation. The application leverages calibration data from other users to determine what the parameters should be for the particular device model on which the application is installed. The application queries a cloud-based data store by sending the model and a hardware-variable parameter to the data store. If a value for the parameter is available in the data store, the application will receive it from the data store and use it in operation. If the value is not available, the application will prompt the user to calibrate the application. The application will use the calibration results to identify a setting, and it will send the setting to the data store for use by other instances in which the application is installed on the same model device.

Abstract: A method of automatically identifying a border in a captured image may include capturing an image of a target by an image sensor of an electronic device, and, by one or more processors, processing the image to automatically detect a border of the target in the image by applying an automatic border detection method to the image. The method may include presenting the image of the target to a user via a display of the electronic device so that the presented image comprises a visual depiction of the detected border, receiving an adjustment of the border from the user, determining whether to update the default parameters based on the received adjustment, in response to determining to update the default parameters, determining one or more updated parameters for the automatic border detection method that are based on, at least in part, the received adjustment, and saving the updated parameters.

Abstract: A system and method for automating analytic processes to improve health outcomes and manage healthcare costs. Data associated with healthcare encounters with managed care organizations (MCOs) is acquired. Findings, predictions, and recommendations for tracking services provided by the MCOs are identified with analytic flows that are based on the data. Relations between the services provided by the MCOs and the healthcare encounters are identified. Utilization statistics are extracted from the data with the analytic processes. Information from the utilization statistics relevant to the healthcare encounters is output.

Abstract: A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. In one example, the suitable instance is a frame or sequence of frames that contain an image of a page or side of the printed artifact and that do not exhibit a page-turn event. In response to identification of the suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

Abstract: A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes an imaging sensor of a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. The suitable instance is a frame or sequence of frames that contains at least a portion of the printed artifact and that also satisfies one or more image quality criteria or other criteria. Upon identification of each suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.

Abstract: Methods and systems for dynamic pricing based on sliding mode control with respect to a HOT (High Occupancy Toll) lane. The controller consists of a feed-forward path and a feedback path. In the feed-forward path, a sliding mode controller in association with a sliding mode control module can be configured to achieve desired performance objectives under time-varying system parameters in real-time. An estimated VOT (Value of Time) distribution can be derived in association with the controller to reduce the difference between an actual and target traffic flow density on the HOT lane. The estimation of the VOT distribution can be updated by the controller at each time interval when the difference in densities is larger than a certain threshold. A low pass filter can also be employed to substantially improve prediction and the calculation of tolls to reduce fluctuations in traffic.

Abstract: A system creates an electronic file corresponding to a printed artifact by launching a video capture module that causes an imaging sensor of a mobile electronic device to capture a video of a scene that includes the printed artifact. The system analyzes image frames in the video in real time as the video is captured to identify a suitable instance. The suitable instance is a frame or sequence of frames that contains at least a portion of the printed artifact and that also satisfies one or more image quality criteria or other criteria. Upon identification of each suitable instance, the system will automatically cause a photo capture module of the device to capture a still image of the printed artifact. The still image has a resolution that is higher than that of the image frames in the video. The system will save the captured still images to a computer-readable file.