Abstract: A machine implemented method and system, including: receiving at a near real-time processor module, one or more tenant-specific business objects from a message handler module; receiving at the near real-time processor module, contextual data related to the received one or more tenant-specific business objects from a platform analytics module; forming at the near real-time processor module, one or more events by applying one or more pre-defined analytic models to the received contextual data and the received one or more tenant-specific business objects; receiving at a message publisher module, one or more events from the near real-time processor module; and transmitting the received one or more events to one or more subscribers for the one or more events.

Abstract: A method of automating engineering design is provided. The method includes receiving a training set including pairings of control loop data for respective control loops identified in digitized design data and templates that were instantiated using the control loop data of the respective control loops and training, using machine learning, a knowledge base, based on the training set. The knowledge base, once trained, is configured to be queried with digitized new control loop data, predict a template to pair with the digitized new control loop data, and the predicted template, and the predicted template is configured to be instantiated with the new control loop data for implementation of a control loop in an engineering system.

Abstract: In a method of automating engineering design a knowledge base (KB) is queried for a template to map with new control loop (CL) data of a new CL that was identified in new digitized design data for a new engineering project, the query including the new CL data. The KB is trained to map past CL data of past CLs identified in past digitized design data from past engineering projects to respective templates based on past instantiation of the respective templates with the past CLs by the past engineering projects. The method further includes receiving a selected template in response to the query, wherein the selected template is selected based on its mapping with past CL data that matches the new CL data, and providing configuration data, including an instantiation of the selected template with the new CL data, for implementation of the new CL in an engineering system.

Abstract: Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.

Abstract: Systems and methods for detecting and predicting faults in an industrial process automation system use trend data to forecast alerts and allow action to be taken before a problem occurs. The systems and methods provide fault/failure predictions that improve over time as more empirical data is collected for a related set of system components. The systems and methods may identify relationships among the components of a process automation system; identify and collect changes to system configuration; identify and collect data to inform reliability and predictive models; develop a domain-specific predictive model for one or more components that allows for component-based failure or degradation prediction; develop a system-predictive model that leverages reliability and criticality relationships, component-based predictions and operating parameters to predict the health of a part of or the entire process automation system; deliver a prioritized alert system; and identify root-cause failures of a component.

Abstract: Systems and methods for controlling industrial an industrial plant comprise: inputting an engineering diagram for a unit of the industrial plant, the engineering diagram including symbols representing assets of the industrial plant; extracting one or more assets from the engineering diagram using machine learning to recognize the one or more assets, the one or more assets including equipment, instruments, connectors, and lines, the lines relating the equipment, instruments, and connectors to one another; determining one or more relationships between the equipment, instruments, connectors, and lines to one another using machine learning to recognize the one or more relationships; and creating a flow graph from the equipment, instruments, connectors, and lines and the relationships between the equipment, instruments, connectors, and lines.

Abstract: Automated evaluation and extraction of information from piping and instrumentation diagrams (P&IDs). Aspects of the systems and methods utilize machine learning and image processing techniques to extract relevant information, such as tag names, tag numbers, and symbols, and their positions, from P&IDs. Further aspects feed errors back to a machine learning system to update its learning and improve operation of the systems and methods.

Abstract: Automated evaluation and extraction of information from piping and instrumentation diagrams (P&IDs). Aspects of the systems and methods utilize machine learning and image processing techniques to extract relevant information, such as tag names, tag numbers, and symbols, and their positions, from P&IDs. Further aspects feed errors back to a machine learning system to update its learning and improve operation of the systems and methods.

Abstract: Automated evaluation and extraction of information from piping and instrumentation diagrams (P&IDs). Aspects of the systems and methods utilize machine learning and image processing techniques to extract relevant information, such as tag names, tag numbers, and symbols, and their positions, from P&IDs. Further aspects feed errors back to a machine learning system to update its learning and improve operation of the systems and methods.

Abstract: A method of automatic manufacturability evaluation of plastic models comprises generation of a likely pulling direction, recognition of common features on plastic parts, and then applying manufacturability rules The manufacturability rules can be specified and customized through user specified rule parameters and depend upon the geometric parameters of the recognized features. A system comprises a user interface for selection and customization of DFX (Design for ‘X’) rules for evaluation of a design. The system includes a user interface integrated with a CAD system for receiving the CAD data and displaying the results to the user. Geometry analysis engines are integrated into the system, for extracting the various features and corresponding parameters required as input to the manufacturability rules. The system further involves extensible interfaces for rules and analysis engines which allows users to write their own customized rules and engines and integrate these into the CAD based DFX evaluation system.

Abstract: A method of automatic manufacturability evaluation of plastic models comprises generation of a likely pulling direction, recognition of common features on plastic parts, and then applying manufacturability rules The manufacturability rules can be specified and customized through user specified rule parameters and depend upon the geometric parameters of the recognized features. A system comprises a user interface for selection and customization of DFX (Design for ‘X’) rules for evaluation of a design. The system includes a user interface integrated with a CAD system for receiving the CAD data and displaying the results to the user. Geometry analysis engines are integrated into the system, for extracting the various features and corresponding parameters required as input to the manufacturability rules. The system further involves extensible interfaces for rules and analysis engines which allows users to write their own customized rules and engines and integrate these into the CAD based DFX evaluation system.

Abstract: A method of automatic manufacturability evaluation of plastic models comprises generation of a likely pulling direction, recognition of common features on plastic parts, and then applying manufacturability rules The manufacturability rules can be specified and customized through user specified rule parameters and depend upon the geometric parameters of the recognized features. A system comprises a user interface for selection and customization of DFX (Design for ‘X’) rules for evaluation of a design. The system includes a user interface integrated with a CAD system for receiving the CAD data and displaying the results to the user. Geometry analysis engines are integrated into the system, for extracting the various features and corresponding parameters required as input to the manufacturability rules. The system further involves extensible interfaces for rules and analysis engines which allows users to write their own customized rules and engines and integrate these into the CAD based DFX evaluation system.

Abstract: A system and method for authenticating a client having a privilege server, a head end server, and a web adapter performs the steps of negotiating an authentication scheme between the server proxy and the privilege server. User information is presented to the web adapter. The user information is provided to the head end server and in turn presents the information to the web adapter. The user is validated in accordance with the authentication scheme. When the user is validated a ticket is generated for the user. The ticket is presented to the client privilege server proxy that decrypts the ticket. A token is formed from the ticket and the client user identification. The token from the client is provided to the privilege server. A packet is formed having a sequence number and session key encrypted with the ticket. The packet is provided to the head end server which in turn authenticates the user.

Abstract: A system and method for authenticating a client having a privilege server, a head end server, and a web adapter performs the steps of negotiating an authentication scheme between the server proxy and the privilege server. User information is presented to the web adapter. The user information is provided to the head end server and in turn presents the information to the web adapter. The user is validated in accordance with the authentication scheme. When the user is validated a ticket is generated for the user. The ticket is presented to the client privilege server proxy that decrypts the ticket. A token is formed from the ticket and the client user identification. The token from the client is provided to the privilege server. A packet is formed having a sequence number and session key encrypted with the ticket. The packet is provided to the head end server which in turn authenticates the user.

Abstract: A method for obtaining parallel instruction execution (PIE) for frequently used programming operations, such as database record compression or expansion, cryptographic encoding/decoding, page moving, etc., for which a hardware-assist may be provided. These functions can be performed in parallel with CPU processing by a PIE processing facility (PIE-PF). The method is hardware/microcode based and uses software control in supervisory mode. The preferred embodiment is controlled by privileged subsystem software under an operating system, and does not use I/O channel oriented off-load processing. When the CPU is interrupted during an incomplete parallel operation by the PIE-PF, it is checkpointed in main storage in a manner accessible to the subsystem. The subsystem (after completing a current CPU operation, such as a database record predicate evaluation, can check for the completion of the PIE-PF operation by examining an indicator in a control block in shared storage.

Abstract: A coexecutor for executing functions offloaded from central processors (CPs) in a data processing system, as requested by one or more executing control programs, which include a host operating system (host OS), and subsystem programs and applications executing under the host OS. The offloaded functions are embodied in code modules. Code modules execute in the coexecutor in parallel with non-offloaded functions being executed by the CPs. Thus, the CPs do not need to execute functions which can be executed by the coexecutor. CP requests to the coexecutor specify the code modules which are accessed by the coexecutor from host shared storage under the same constraints and access limitations as the control programs. The coexecutor may emulate host dynamic address translation, and may use a provided host storage key in accessing host storage. The restricted access operating state for the coexecutor maintains data integrity.

Abstract: Provides a dynamic execution link between an analyzer program and each hook instruction in a program. Special types of hook instructions are provided for use in a hooked program. The link causes the analyzer program to execute as part of a continuous uninterrupted execution for each hook instruction. The link uses hardware and/or internal code to access a hook control area which provides linkage information needed to invoke the execution of the analyzer program upon completion of the hook instruction and to continue the execution of the hooked program following the completion of the analyzer program. The linkage information includes the entry location into the analyzer program, and also locates the first hook work area (HWA) of a sequence of HWAs, from which an HWA is assigned to each current hook instruction. The assigned HWA stores a return point location in the hooked program at an instruction following the current hook instruction.

Abstract: Ziv-Lempel-type compression and expansion using separate static compression and expansion dictionaries as opposed to a single adaptive dictionary. The static dictionaries make random access processes usable for short data records instead of only long sequential data streams. Degree of compression and compression performance are improved by allowance of multiple extension characters per node and multiple children, of the same parent, that have the same first extension character. Performance is further improved by searching for matches on children of a parent and detecting a last possible match by means of fields in the parent instead of by accessing the children. Expansion performance is improved by representing in an entry not only the extension character or characters of the entry but also those of some number of ancestors of the entry, thus avoiding accessing the ancestors.

Abstract: An addressing method using large addresses in a guest/host environment within a computer system. The guests are operating-systems, and the host is a hypervisor program. Each guest has a guest real address space (guest RAS) mapped onto a host large real address space (host LRAS) using means disclosed herein. To do this, each guest RAS is first assigned to a contiguous part of a host large virtual address space (LVAS) by assigning each guest RAS to one or more contiguous units of virtual addressing in the host LVAS, each unit having a 2 gigabyte (GB) size. The host LVAS is represented by a sequence of entries (ALEs) in a host access list (AL), in which each ALE represents a 2 GB unit of virtual addressing in the host LVAS. An ALE is selected in the AL by using a high-order part of a host large virtual address (host LVA) representing a guest RA or LRA. A host LVA is generated from a guest RA for obtaining the guest address in host main storage.

Abstract: Describes novel methods for compressing data character strings into "storage optimized indices" (SOIs) and stores their adaptive Ziv Lempel (AZL) indices, called "evolution based indices" (EBIs), in fields in corresponding entries in a SOI dictionary. The method also compresses data using the SOI dictionary, which accesses the corresponding EBIs for representing the compressed data. The EBIs are put into storage, or transmitted to a receiving location. Greater data compression processing efficiency is obtained by using the SOI dictionary than is available using prior types of AZL dictionaries. The disclosure further describes methods for decompressing EBI indices into corresponding phrases at a receiving location using either a conventional AZL dictionary or a SOI dictionary after translating received EBIs into SOIs. Also described is a submethod for phrase length determination for use in the decompression process.