Abstract: The present disclosure relates to vapor deposition systems and methods. In one embodiment, a drum for vapor deposition is provided. The drum includes a shell having gas slits and a cooling drum. The cooling drum includes an exterior region, an interior region, a first fluid channel partially defined by the exterior region and the interior region, and a first inlet. The first fluid channel forms a helical channel around a central axis of the cooling drum. The first inlet is in fluid communication with a first outlet by the first fluid channel.

Abstract: A new declarative approach to business intelligence (BI) and reporting focuses on streamlining the embeddability of BI and reporting (BIR) into an application (e.g., web, mobile, etc.) and allows a developer to use a REST API and declare, via a YAML file, the type of BIR dashboard, report, metric or set of metrics desired. A YAML descriptor interpreter interprets the YAML file, collaborates with a BIR server at the backend to dynamically construct the requested content, and repackages and returns the requested content in a REST API response. This new method allows application developers to avoid any need of pre-designing reports, dashboards, etc., and eliminates the need of application developers to embed client-side scripting libraries, significantly reduces the amount of effort, time, and complexity in using a BI and reporting service. Application developers simply declare what they need, and the service returns the content exactly as described in the request.

Abstract: Realtime communications between communicants in a virtual area are administered. Assemblies of copresent communicants in the virtual area are detected. For each of respective ones of the detected assemblies, a respective meeting object linked to information relating to communicant interactions in the assembly is generated. Respective meeting summary data is determined based on the information linked to selected ones of the meeting objects meeting objects. The determined meeting summary data is transmitted to a network node for display. A visualization of summaries of respective assemblies of copresent communicants in the virtual area is presented on a display.

Abstract: A computing system may implement a split random number generator that may use a random number generator to generate and store seed values in a memory for retrieval and use by one or more core processors to generate random numbers for secure processes within each core processor.

Abstract: Methods and systems are provided for a hydrocarbon (HC) trap system in an engine air induction system. In one example, a system may include a pillow-case type HC trap housed in a rectangular opening formed in a wall of an air conduit at the outlet of an air cleaner box. A frame may be integrally formed around the opening to support the HC trap protruding outward from the wall.

Abstract: A system for electronic data interchange (EDI) management includes a memory for storing the EDI document data and a machine learning model representing a set of features of EDI documents and a corresponding status. The system further includes a processor and a non-transitory computer readable medium storing instructions for: accessing an EDI file, the EDI file comprising envelope metadata for an envelope and a first EDI document: and translating the EDI file into a first translated EDI document containing the envelope metadata and a set of EDI document data extracted from the first EDI document, the first translated EDI document formatted according to a hierarchical structure comprising attributes translatable into features processable by the machine learning model to determine a status of the first EDI document.

Abstract: A system for electronic data interchange (EDI) management includes a memory for storing the EDI document data and a machine learning model representing a set of features of EDI documents and a corresponding status. The system further includes a processor and a non-transitory computer readable medium storing instructions for: accessing an EDI file, the EDI file comprising envelope metadata for an envelope and a first EDI document; and translating the EDI file into a first translated EDI document containing the envelope metadata and a set of EDI document data extracted from the first EDI document, the first translated EDI document formatted according to a hierarchical structure comprising attributes translatable into features processable by the machine learning model to determine a status of the first EDI document.

Abstract: Methods and systems are provided for a hydrocarbon (HC) trap system in an engine air induction system. In one example, a system may include a pillow-case type HC trap housed in a rectangular opening formed in a wall of an air conduit at the outlet of an air cleaner box. A frame may be integrally formed around the opening to support the HC trap protruding outward from the wall.

Abstract: A connector for connecting discrete modular storage units defined by plural hollow elongate support members having longitudinal ends including apertures into which vertical connection members can be inserted to connect adjacent modules. The inserts may be of a predetermined length to connect two horizontally adjacent modules or a length twice the predetermined length to connect two horizontally adjacent modules. For vertically and horizontally connected modules, the inventive connector may be utilized to connect modular shelving units having both an in-line and perpendicular configuration. The connector ideally comprises two identical insert members joined to each other in a desired orientation, so that the modules can be connected in different configurations, whether in-line, staggered or perpendicularly. The inventive connector also vertically connects the horizontally configured shelving modules to a variety of vertically disposed and configured shelving module units in a desired configuration.

Abstract: Methods and systems are provided for a hydrocarbon (HC) trap system in an engine air induction system. In one example, a system may include a pillow-case type HC trap housed in a rectangular opening formed in a wall of an air conduit at the outlet of an air cleaner box. A frame may be integrally formed around the opening to support the HC trap protruding outward from the wall.

Abstract: A connector for connecting discrete modular storage units defined by plural hollow elongate support members having longitudinal ends including apertures into which vertical connection members can be inserted to connect adjacent modules. The inserts may be of a predetermined length to connect two horizontally adjacent modules or a length twice the predetermined length to connect two horizontally adjacent modules. For vertically and horizontally connected modules, the inventive connector may be utilized to connect modular shelving units having both an in-line and perpendicular configuration. The connector ideally comprises two identical insert members joined to each other in a desired orientation, so that the modules can be connected in different configurations, whether in-line, staggered or perpendicularly. The inventive connector also vertically connects the horizontally configured shelving modules to a variety of vertically disposed and configured shelving module units in a desired configuration.

Abstract: A system for electronic data interchange (EDI) management includes a memory for storing the EDI document data and a machine learning model representing a set of features of EDI documents and a corresponding status. The system further includes a processor and a non-transitory computer readable medium storing instructions for: accessing an EDI file, the EDI file comprising envelope metadata for an envelope and a first EDI document; and translating the EDI file into a first translated EDI document containing the envelope metadata and a set of EDI document data extracted from the first EDI document, the first translated EDI document formatted according to a hierarchical structure comprising attributes translatable into features processable by the machine learning model to determine a status of the first EDI document.

Abstract: An electronic data interchange (EDI) management system may comprise a memory for storing EDI document data and a machine learning prediction model representing element information of EDI documents of a first type and a corresponding status. A processor can be configured to extract elements from an EDI document, create a document record for the EDI document, the document record comprising elements extracted from the EDI document; determine a first status for the EDI document of the first type by processing the extracted elements using a machine learning model, the machine learning model trained on a training set of elements to classify documents according to a plurality of statuses, and add the first status to the document record for the EDI document of the first type, the first status accessible to a client computer via a presentation layer.

Abstract: An electronic data interchange (EDI) management system may comprise a memory for storing EDI document data and a machine learning prediction model representing element information of EDI documents of a first type and a corresponding status. A processor can be configured to extract elements from an EDI document, create a document record for the EDI document, the document record comprising elements extracted from the EDI document; determine a first status for the EDI document of the first type by processing the extracted elements using a machine learning model, the machine learning model trained on a training set of elements to classify documents according to a plurality of statuses, and add the first status to the document record for the EDI document of the first type, the first status accessible to a client computer via a presentation layer.

Abstract: An electronic data interchange (EDI) management system may comprise a memory for storing EDI document data and a machine learning prediction model representing element information of EDI documents of a first type and a corresponding status. A processor can be configured to extract elements from an EDI document, create a document record for the EDI document, the document record comprising elements extracted from the EDI document; determine a first delivery status for the EDI document of the first type by processing the extracted elements using a machine learning delivery model, the machine learning delivery model trained on a training set of elements to classify documents according to a plurality of delivery statuses, and add the first status to the document record for the EDI document of the first type, the first status accessible to a client computer via a presentation layer.

Abstract: An electronic data interchange (EDI) management system may comprise a memory for storing EDI document data and a machine learning prediction model representing element information of EDI documents of a first type and a corresponding status. A processor can be configured to extract elements from an EDI document, create a document record for the EDI document, the document record comprising elements extracted from the EDI document; determine a first delivery status for the EDI document of the first type by processing the extracted elements using a machine learning delivery model, the machine learning delivery model trained on a training set of elements to classify documents according to a plurality of delivery statuses, and add the first status to the document record for the EDI document of the first type, the first status accessible to a client computer via a presentation layer.

Abstract: Methods and systems are provided for a hydrocarbon (HC) trap system in an engine air induction system. In one example, a system may include a pillow-case type HC trap housed in a rectangular opening formed in a wall of an air conduit at the outlet of an air cleaner box. A frame may be integrally formed around the opening to support the HC trap protruding outward from the wall.

Abstract: A vehicular sweeping machine that is adapted to rotate a broom about a substantially horizontal axis to sweep material into a broom conveyor of fixed width is provided with a modular broom assembly that can accommodate a broom of a first length and a broom of a second length that is longer than the first length. The modular broom assembly includes a primary broom enclosure that is adapted to accommodate the broom of the first length, and an extension assembly that includes broom extension components which are adapted to be installed on the primary broom enclosure to increase the width of the primary broom enclosure to accommodate the broom of the second length, and to direct material swept by the broom of the second length into the broom conveyor.

Abstract: An electronic data interchange (EDI) management system may comprise a memory for storing EDI document data and a machine learning prediction model representing element information of EDI documents of a first type and a corresponding status. A processor can be configured to extract segments and elements from an EDI document, create a document record for the EDI document, the document record comprising a hierarchy of segments and elements extracted from the EDI document; create a feature vector for the EDI document from the elements extracted from the EDI document, determine a first status for the EDI document by processing the feature vector for the EDI document using the prediction model and add the first status to the document record for the EDI document of the first type, the first status accessible to a client computer via a presentation layer.