Abstract: A method of scheduling one or more virtual machines in a cloud computing infrastructure may include identifying, by a computing device, lag time data that has been collected over a period of time and that corresponds to one or more virtual machines in a cloud computing infrastructure, computing, by the computing device, a cumulative description of the identified lag time data, identifying a target performance level, determining, by the computing device, an estimated lag time that corresponds to the target performance level, and determining, by the computing device, whether to start a new virtual machine based, at least in part, on the estimated lag time.

Abstract: A method of scheduling one or more virtual machines in a cloud computing infrastructure may include identifying, by a computing device, lag time data that has been collected over a period of time and that corresponds to one or more virtual machines in a cloud computing infrastructure, computing, by the computing device, a cumulative description of the identified lag time data, identifying a target performance level, determining, by the computing device, an estimated lag time that corresponds to the target performance level, and determining, by the computing device, whether to start a new virtual machine based, at least in part, on the estimated lag time.

Abstract: A method of scheduling one or more virtual machines in a cloud computing infrastructure may include identifying, by a computing device, lag time data that has been collected over a period of time and that corresponds to one or more virtual machines in a cloud computing infrastructure, computing, by the computing device, a cumulative description of the identified lag time data, identifying a target performance level, determining, by the computing device, an estimated lag time that corresponds to the target performance level, and determining, by the computing device, whether to start a new virtual machine based, at least in part, on the estimated lag time.

Abstract: A method and system creates a printed substrate suitable for conversion into a three-dimensional object. A template generator identifies a printing template having die line data representing a cutting path and folding position data representing a folding path. Foreground image data representative of a first image is automatically applied the selected printing template to define a target location for the first image, and also to define a second die line around a portion of the target location to form a second cutting path based on the foreground image data. A printer prints the first image onto a substrate at the target location, a cutting device cuts the substrate along the first cutting path and the second cutting path, and a scoring device scores the substrate along the folding path to generate a printed substrate that will fold into a three-dimensional object.

Abstract: A method of scheduling one or more virtual machines in a cloud computing infrastructure may include identifying, by a computing device, lag time data that has been collected over a period of time and that corresponds to one or more virtual machines in a cloud computing infrastructure, computing, by the computing device, a cumulative description of the identified lag time data, identifying a target performance level, determining, by the computing device, an estimated lag time that corresponds to the target performance level, and determining, by the computing device, whether to start a new virtual machine based, at least in part, on the estimated lag time.

Abstract: A system and method for automated entry of electronic versions of paper documents into corresponding patient records in an Electronic Health Record (EHR) is provided. A natural language parsing component extracts named entity information from electronic versions of patient-related paper documents and determines the EHR patients which correspond to the electronic versions. The electronic versions are classified by medical procedure and matched with EHR patient orders obtained from querying the EHR. The electronic versions with are matched to EHR patient orders are entered into the EHR and notifications for the electronic versions which are not matched are generated.

Abstract: A method and system for printing content on a three dimensional structure, select a first graphical design style sheet for a first facet of the structure. A graphical design layout renderer to apply semantic structural design data to the style sheet until a graphic design template is prepared. Graphical content is linked to the structure and printed on the substrate using the design data. The system determines the location by facet of the content, and ensures that larger content items are distributed among multiple facets of the structure.

Abstract: Methods and systems for improving resource usage in a print shop are disclosed A system may include a workflow management system and a plurality of resource in the print shop. The workflow management system may be configured to receive a plurality of print jobs for processing at the print shop and determine a cost per item for processing the plurality of print jobs based on economic data associated with the print jobs. The workflow management system may determine whether the cost per item will be reduced by adding, removing or modifying a print job. An added print job may be of a different type than the plurality of print jobs. The plurality of resources may be capable of processing the plurality of print jobs.

Abstract: A system and method of automatically assembling a package may include maintaining a data structure comprising a dynamic rule set for package production. A desired package may be selected for assembly. An assembly sequence may automatically be developed to create a three dimensional package from the dynamic rule set based on the desired package. The desired package may be assembled using the assembly sequence.

Abstract: A print shop management method or system is used for a print shop. The method or system uses a knowledge base containing device data elements and service data elements. Each device data element represents a device in the print shop, and each service data element represents a service that may be implemented by one or more of the devices. A workflow management system implements an automated reasoner that, when a new device is added or one or more parameters of a device in the print shop are modified, uses semantic reasoning to select a service that may be implemented by the modified device, updates the knowledge base to include a new device element for the new or modified device; and automatically associates the new device element and the selected service.

Abstract: A method of scheduling a print job may include determining a first set of deployments that includes one or more deployments. Each deployment in the first set may include an indication of a logical device in a cloud environment and an indication of a production center. The method may include for one or more deployments in the first set of deployments, determining a total compliance value associated with the deployment, identifying a subset of deployments based on, at least in part, the associated total compliance values, generating a new set of deployments based on, at least in part, the identified subset of deployments, and in response to the first set of deployments being an improvement over the new set of deployments, incrementing a count variable, and repeating the determining a total compliance value, identifying, and generating operations until the count variable equals an exit condition value.

Abstract: A method of monitoring workflow performance includes selecting a workflow for a job in a production process environment, wherein the job corresponds to a job category. The method also may include accessing a knowledge base to automatically select a set of performance indicators that correspond to the job category. Process parameters corresponding to the production process are displayed, and at least a portion of the displayed process parameters include the selected performance indicators.

Abstract: A method of scheduling a print job may include determining a first set of deployments that includes one or more deployments. Each deployment in the first set may include an indication of a logical device in a cloud environment and an indication of a production center. The method may include for one or more deployments in the first set of deployments, determining a total compliance value associated with the deployment, identifying a subset of deployments based on, at least in part, the associated total compliance values, generating a new set of deployments based on, at least in part, the identified subset of deployments, and in response to the first set of deployments being an improvement over the new set of deployments, incrementing a count variable, and repeating the determining a total compliance value, identifying, and generating operations until the count variable equals an exit condition value.

Abstract: A method of scheduling a print job in a print production system may include identifying one or more print jobs having a start time within a rental period, identifying one or more logical devices that are operating during the rental period and determining a processing schedule associated with the rental period. The method may include determining whether the processing schedule comprises an idle period, in response to the processing schedule comprising an idle period, determining whether a future print job can be processed during the idle period, in response to determining that the future print job can be processed during the idle period, assigning the future print job to at least a portion of the idle period on the processing schedule, and instructing the identified logical devices to process the one or more identified print jobs according to the processing schedule.

Abstract: As set forth herein, computer-implemented methods and systems facilitate providing an approach for using defined patterns of variable-data campaigns to enable a marketing service provider to express a non-expert user's desired campaign intent, using natural language and campaign intent terms, as well as to accurately capture the non-expert user's intent by communicating using non-technical campaign terminology. Communication of semantically robust campaign intent to variable-data campaign graphic designers and developers is facilitated by the described systems and methods, as is automated creation of a variable-data logic (plan) file based on semantic campaign intent. The described systems and methods facilitate the creation of variable data publishing (VDP) marketing campaigns by the non-expert, including verification and validation of the variable-data logic.

Abstract: A system for forming a foldable printed substrate includes a creasing system that applies a plurality of creases to the substrate along a first axis. It also applies a plurality of creases to the substrate along a second axis that is angled with respect to the first axis. Each creases is applied in a manner that does not ablate the substrate. The system also may include a cutting system to yield a foldable substrate such as a carton, sleeve, or box. It also may include a printing system to generate a printed, foldable substrate.

Abstract: A method of semantically classifying a data set of open class nouns and a system for executing the method. The method includes loading, by a processing device, a data set comprising one or more open class nouns from a computer readable medium operably connected to the processing device; extracting, by the processing device, the one or more open class nouns from the data set; for each open class noun, querying, by the processing device, one or more application programming interfaces (APIs) to produce one or more results; deriving, by the processing device, a confidence score for the data set based upon the one or more results; and determining, by the processing device, a classification for the data set based upon the derived confidence score.

Abstract: A package assembly method and system may include a processor, a more printing device, an assembly device, a knowledge base containing a structural design ontology, and a memory structure. A memory structure may contain instructions that instruct the processor to query the knowledge base to obtain a two dimensional package model based on a known three dimensional package model and a set of intents, convert a three dimensional graphic representation to a two dimensional graphic representation using a semantic structure, access a packaging rule set to obtain rules for assembly of a three dimensional package from the model, instruct a printing device to apply the two dimensional graphic representation to the two dimensional package model, and instruct the assembly device to apply the rules for assembly to create the three dimensional package.

Abstract: A system for creating a package includes a processor, a memory, and computer-readable instructions that instruct the processor to receive a package description and generate content, formatting instructions, and a structural design features for a package. The system applies the content and structural design features to a substrate to convert a flat substrate into a three-dimensional package.

Abstract: A system and method of selecting a package model may include maintaining a data structure of a plurality of package models. Each package model may have a plurality of package model attributes including at least a size and a style. A user input may be received that is descriptive of a desired package capability. The user input may be analyzed using a semantic reasoner to determine one or more desired attributes. One or more package models may be automatically selected by accessing the data structure wherein, for each selected package model, each desired attribute satisfies the corresponding package model attribute. The one or more selected package models may be presented.