Abstract: Metrics for online ads are captured by parsing web pages to identify ad beacons containing information identifying whether the online ads are for a particular client. These metrics are used to determine key performance indicators for auditing and competitor analysis for an online ad campaign.

Abstract: An outage intelligence application receives event messages indicative of occurrences associated with various devices within a power grid. The outage intelligence application determines a state of the various devices based on the event messages. Based on the event messages, the outage intelligence application can determine and confirm an outage condition associate with a particular device. A fault intelligence application receives synchrophasor data for each phase in a multi-phase power grid. The synchrophasor includes phasor magnitude and phasor angle information for each phased. Based on the synchrophasor data, the fault intelligence application determines the presence of a fault involving one or more of the phases and identifies a particular fault type.

Abstract: A method for managing, with a base data processing system of a primary business entity, a remote data processing system of a secondary business entity via a communications network is provided. The method includes steps of the base data processing system receiving a report message on at least one technical parameter from the remote data processing system via the communications network and interpreting the report message to determine a state of interoperability between the base data processing system and the remote data processing system.

Abstract: According to an example, connections may be routed in a contact center by determining if a current connection from a customer terminal to the contact center is a repeat connection or a first connection. In response to determining that the connection is a repeat connection, the repeat connection is routed to an originating agent terminal when an originating agent is verified as employed, logged-in, and available. In response to determining that the connection is a first connection, the first connection is routed to a best available agent terminal.

Abstract: A device may obtain text to be categorized, and may determine rules for categorizing portions of the text. A rule may specify text patterns to be used to categorize the portions of the text into a category, and may specify a relationship, between at least two text patterns, to be used to categorize the portions of the text into the category. The device may determine that the text patterns and the relationship between the at least two text patterns exist in a text portion. The device may categorize the text portion into the category based on determining that the text patterns and the relationship between the at least two text patterns exist in the text portion. The device may provide an indication of an association between the text portion and the category based on categorizing the text portion into the category.

Abstract: A device may obtain a set of documents, including at least two documents of different document types, for conversion to a uniform and an editable or a searchable format. The set of documents may include at least two documents of a different document type. The device may determine conversion information, associated with converting the set of documents, that includes an editable or a searchable document type to which the set of documents is to be converted. The device may determine zone information, associated with converting the set of documents, that includes information that identifies a portion of the set of documents that is to be converted. The device may generate a set of converted documents based on the conversion information and the zone information. Each document, of the set of converted documents, may be of the document type. The device may provide the set of converted documents.

Abstract: A device may obtain text to be processed to infer type classifications associated with terms in the text. The type classifications may indicate types of values that the terms are intended to represent. The device may infer type classifications corresponding to terms in the text by performing a type classification technique. The type classification technique may include a name-based analysis, a context-based analysis a synonym-based analysis, or a valued-based analysis. These analyses may compare information, associated with the terms in the text, to type indicators that indicate the type classifications. The device may provide information that identifies a type relationship between a particular type classification and a particular term based on inferring the one or more type classifications.

Abstract: A method and system for reducing demand on a power grid through demand side management includes receiving assigned priorities from a customer for smart appliances and for appliances plugged into sockets of one or more smart plugs of the customer, the assigned priorities indicative of a customer-preferred sequence for disconnection of, or adjustment of power to, the appliances from the power grid. The system determines whether to disconnect or adjust power to at least one of the appliances of the customer; and selects at least one of the appliances according to the assigned priorities to reduce demand on the power grid. The system sends one or more commands, the one or more commands indicative to the one or more smart plugs to disconnect or adjust power to the selected at least one of the appliances based on selecting at least one of the appliances.

Abstract: A network intelligence system may include a plurality of sensors located throughout and industry system. The sensors may obtain data related to various aspects of the industry network. The network intelligence system may include system endpoint intelligence and system infrastructure intelligence. The system endpoint and system infrastructure intelligence may provide distributed intelligence allowing localized decision-making to be made within the industry system based in response to system operation and occurrences. The network intelligence may include a centralized intelligence portion to communicate with endpoint and infrastructure intelligence. The centralized intelligence portion may provide responses on a localized level of the system or on a system-wide level.

Abstract: Intelligent application back stack management may include generating a first back stack for activities of an application that have been executed by a device that executes the application. The first back stack may include a back stack size limit. A further back stack may be generated for selected ones of the activities of the application if a total number of the activities of the application and further activities of the application exceeds the back stack size limit. The first back stack may be an in-memory back stack for the device that executes the application, and the further back stack may include an external on-device back stack for the device that executes the application and/or a Cloud storage based back stack. Intelligent application back stack management may further include regenerating an activity of the selected ones of the activities that is pulled from the further back stack.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts interconnect infrastructure components and capture relational aspects between the components within the interconnections. The infrastructure layouts map northbound services, which are service outputs, to southbound services, which are service capabilities, for fulfilment. The system may traverse a mapping from a northbound service to a fulfilling southbound service to generate a workflow to support deployment of the northbound service. In various implementations, the system may compare a path, which maps a northbound service to a southbound service, to a policy model to determine compliance with the policy.

Abstract: An inventory of service parts may be managed by assessing a company's capability, optimizing the inventory and implementing a management program based on the assessment and optimization. Optimizing target stock levels for the inventory of parts may be accomplished by calculating an inventory baseline for understanding information about the currently held inventory; developing a service strategy for a set of segments; quantifying a service level for each of the segments; analyzing the segments and their service levels for identifying at least one logistically distinct business; assigning each of the segments to a “best-fit” planning model for indicating each segment's deployment, replenishment, forecasting and review characteristics; identifying a probability distribution function for estimating a demand process of each of the segments; and calculating a target stock level for each segment.

Abstract: According to an example, a face capture and matching system may include a memory storing machine readable instructions to receive captured images of an area monitored by an image capture device, and detect one or more faces in the captured images. The memory may further store machine readable instructions to track movement of the one or more detected faces in the area monitored by the image capture device, and based on the one or more tracked detected faces, select one or more images from the captured images to be used for identifying the one or more tracked detected faces. The memory may further store machine readable instructions to select one or more fusion techniques to identify the one or more tracked detected faces using the one or more selected images. The face capture and matching system may further include a processor to implement the machine readable instructions.

Abstract: The present disclosure provides system and methods for electric vehicle distributed intelligence. A system may determine scheduled charging times and scheduled charging locations to charge electric vehicles. The scheduled charging locations may correspond to charging stations geographical distributed throughout a power grid. The system may receive parameters related to power grid components configured to affect distribution of power. The system may forecast a power demand for charging the electric vehicles at the scheduled charging times and scheduled charging locations. The system may determine that a power demand to charge the electric vehicles is greater or less than power made available by the power grid components at the charging stations. The system may cause power to be reallocated among the power grid components in response to determination that the power demand to charge the electric vehicles is greater or less than power made available by the power grid components.

Abstract: An assembling method, an augmented reality system and a computer program product for measuring and/or manufacturing are provided. A targeting object may be placed in a working space. A distance is measured from the measurement device to the targeting object. The distance measurement is transmitted to the augmented reality system, and the augmented reality system determines whether the distance measurement corresponds to a target distance.

Abstract: Systems, methods, and apparatus, including computer programs encoded on computer storage media, for facilitating secure communication. A system for facilitating secure communication includes an enterprise network, one or more operational technology networks, and a management server. Each of the operational technology networks can include one or more controller devices operable to control one or more operational devices, and can include a respective site security server and a respective security relay server. The security relay server can be operable to facilitate secure communication between controller devices of the operational technology network and its corresponding site security server. The management server can be a node on the enterprise network and can be operable to communicate with each site security server.

Abstract: A data exchange system provides an efficient and cost effective way to control and monitor the manufacturing processes of multiple logistics plants in a virtual manufacturing network. The data exchange system provides a way to quickly and efficiently implement a virtual manufacturing network that includes multiple logistic plants and an electronic production execution system. The data exchange system and electronic production execution system together form a manufacturing collaboration hub that unifies internal and external manufacturing processes of multiple logistic plants to implement a virtual manufacturing network.

Abstract: A device may determine use case information associated with a use case for a development project. The device may determine a set of use case objects associated with the use case based on the use case information. The device may select an abstract machine model. The abstract machine model may be associated with modeling the development project based on the set of use case objects. The abstract machine model may be selected from a set of abstract machine models associated with modeling development projects. The device may generate program code for the development project based on the abstract machine model and the use case information. The device may provide information associated with the generated program code.

Abstract: A method and system generate test cases for applications that include User Graphical Interfaces (GUIs). The system may extract GUI information from prototype requirements (e.g., interactive wireframes), generate a screen model for each screen of the GUI by using a subset of extracted GUI information, generate an application model representing the prototype requirements by combining the screen model for each screen, and generate test cases by using the sequence of the GUICs and the event types included in the test path and a semantic knowledge base. The semantic knowledge base is generated by using the relationships between GUICs and the GUIC events.

Abstract: A clinical quality analytics system may include a data storage to store electronic medical record (EMR) data. The system may map events from the EMR data to a process map through a recursive matching process. The mapping may include recursively matching the events to nodes in threads in a map based on event times and thread times. One of the recursions may be selected as a best fit based on metrics determined for the recursions.