Abstract: A method, system, and computer program code for determining a tax incentive for an employer. A set of cards is displayed on the storyboard interface. Each card is related to a particular criterion for determining and eligibility of the employer for the tax incentive. In response to receiving a selection of a particular card, a set of modal windows, including a set of data fields that are relevant to a particular criterion, is displayed on the storyboard interface. Information for the employer is identified that is relevant to the particular criterion. The set of data fields it is populated based on a portion of the information. A tax incentive amount is calculated based on the portion of the information. A document it is generated for claiming the tax incentive. The document includes the portion of the employer information and the incentive amount.

Abstract: A system can include one or more memory devices that can store instructions thereon. The instructions can, when executed by one or more processors, cause the one or more processors to receive training data to indicate correlations between a plurality of parameters of a plurality of entities and a plurality of metrics of the plurality of entities, train a machine learning model to identify the correlations between the plurality of parameters and the plurality of metrics, detect a selection to indicate a change to a first parameter associated with a first entity of the plurality of entities, identify a second plurality of metrics associated with the first parameter, transmit a first Application Programming Interface (API) call to receive first values associated with the second plurality of metrics, generate a prediction to indicate a plurality of changes to the first values, generate and display a user interface.

Abstract: A computer-implemented method for analyzing a roundabout in an environment for a vehicle is disclosed. The method includes generating at least one initial feature map by applying a feature encoder module of a trained neural network to an input image. The input image depicts the roundabout. The method includes next applying a classificator module of the trained neural network to the initial feature map. An output of the classificator module represents a road region on the input image. The method includes next applying a radius estimation module of the trained neural network to the initial feature map. An output of the radius estimation module depends on an inner radius of the roundabout and an outer radius of the roundabout. The method includes finally determining an entry point and an exit point of the roundabout depending on the output of the classificator module and depending on the output of the radius estimation module.

Abstract: A method, system, and computer program code for determining a tax incentive for an employer. A set of cards is displayed on the storyboard interface. Each card is related to a particular criterion for determining and eligibility of the employer for the tax incentive. In response to receiving a selection of a particular card, a set of modal windows, including a set of data fields that are relevant to a particular criterion, is displayed on the storyboard interface. Information for the employer is identified that is relevant to the particular criterion. The set of data fields it is populated based on a portion of the information. A tax incentive amount is calculated based on the portion of the information. A document it is generated for claiming the tax incentive. The document includes the portion of the employer information and the incentive amount.

Abstract: A method, system, and computer program code for determining a tax incentive for an employer. A set of cards is displayed on the storyboard interface. Each card is related to a particular criterion for determining and eligibility of the employer for the tax incentive. In response to receiving a selection of a particular card, a set of modal windows, including a set of data fields that are relevant to a particular criterion, is displayed on the storyboard interface. Information for the employer is identified that is relevant to the particular criterion. The set of data fields it is populated based on a portion of the information. A tax incentive amount is calculated based on the portion of the information. A document it is generated for claiming the tax incentive. The document includes the portion of the employer information and the incentive amount.

Abstract: Systems for testing computing devices of a medical records system using a simulated environment are provided. The simulated environment is generated by identifying transaction traffic over the network, where the transaction traffic comprises messages of different transaction types. A computing device is configured to output a simulated status by extrapolating a performance of the computing devices upon receiving a series of messages indicating the transaction types. The output of the computing device may indicate an error in the simulated environment where the performance of a computing device exceeds a performance threshold. Based on the error indication, transaction traffic can be diverted from the computing device to another computing device having performance capacity.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Systems and methods for encoding high resolution data associated with a relatively large number of bits to an encoded form having a relatively reduced number of bits. The method includes, by a processor: receiving an input image comprising one or more high resolution objects. The method further includes, for each of the one or more high resolution objects: identifying an object family for that object and determining whether a reference table exists for the object family. If a reference table exists for the object family, the method includes determining a size of that object, and identifying a tag based on the size. The method also includes encoding that object to form an encoded object having a relatively reduced number of bits, associating the identified tag with the encoded object, and saving the encoded object.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Embodiments of the present disclosure include methods and systems for altering an orientation of a logical cell at a multi-function device. In one embodiment, before rasterization, a user submits a job having multiple pages and an initial instruction to arrange ‘n’ number of pages on a single medium. Each page has a pre-defined orientation. Another instruction is received to alter a pre-defined orientation of a selected page in the corresponding logical cell. An N-up operation is performed to arrange the ‘n’ number of pages on the single medium. Each page arranged on the single medium represents a logical cell. While performing the N-up operation, the pre-defined orientation of a logical cell corresponding to the selected page is altered. The logical cell with the altered orientation is printed and the remaining logical cells with respective pre-defined orientation are printed on the single medium.

Abstract: Methods, systems, and computer-readable media are disclosed herein for enabling inbound testing. Aspects herein provide a tool that can, from with a single application, generate test HL7 transaction messages and send the generated test HL7 messages to an inbound testing interface to monitor performance of a testing interface. The tool provides a mechanism to generate a large number of test HL7 messages having different identifier types and message types simultaneously. The tool also provides a mechanism to send large numbers of test HL7 messages, of different identifier types and message types, simultaneously, to a testing environment via multiple pipes.

Abstract: Systems and methods for encoding high resolution data associated with a relatively large number of bits to an encoded form having a relatively reduced number of bits. The method includes, by a processor: receiving an input image comprising one or more high resolution objects. The method further includes, for each of the one or more high resolution objects: identifying an object family for that object and determining whether a reference table exists for the object family. If a reference table exists for the object family, the method includes determining a size of that object, and identifying a tag based on the size. The method also includes encoding that object to form an encoded object having a relatively reduced number of bits, associating the identified tag with the encoded object, and saving the encoded object.

Abstract: According to exemplary methods, a print job is received into a computerized device. The computerized device includes a marking device having a programmed color space. The print job includes an electronic document and print job attributes with a spot color for use in rendering the print job. Raster processing of the electronic document is performed. An object in the electronic document involving the spot color is identified. Definition of the spot color is verified for the marking device. Responsive to the spot color not being defined for the marking device, color values for each pixel in the object are modified to zero. Overprint is enabled for the object so that underlying objects will show through.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Print jobs call for printing multiple logical pages on the same sheet, using base colorants and an extension colorant, and call for a different number of printing passes of the extension colorant for different logical pages. A first bitmap is created, and a first printing pass prints the first bitmap. The first bitmap is then modified to leave only the extension colorant plane, to create a modified bitmap; and a second printing pass prints the modified bitmap on the same sheet. The modified bitmap is additionally modified by removing printing pixels for the logical pages that do not contain an instruction to perform an additional printing pass of the extension colorant; and an additional printing pass prints the modified bitmap. These printing passes are repeated until no more of the logical pages contain the instruction to perform an additional printing pass of the extension colorant.

Abstract: What is disclosed is a system and method for detecting a folded page in a digital image of a scanned document. In one embodiment, the present method involves receiving a digital image of a document which has been converted to a digitized form using a document scanning device. The digital image is segmented horizontally and vertically to obtain a plurality of image segments. An edge profile is generated for the horizontal and vertical segments. A determination is then made, based on a comparison of the profiles, whether a page fold exists in the digital image. If a page fold is determined to exist in the digital image, the user is notified and the digital image is not sent to a print engine. Otherwise, the digital image is printed.