Abstract: A method of determining an inventory mirroring plan for a set of distinct items in a heterogeneous fulfillment network is presented. The fulfillment network can include a plurality of distribution centers, each distribution center having differing capabilities. The method can include determining a solution value of the number of clusters for each distinct item that minimizes a sum of a total shipping cost of each distinct item, subject to a total distinct item capacity of the plurality of distribution centers in the fulfillment network. The method can further include using a probability of the item being placed in a specific distribution center based on either the capacity of the distribution center or historical data. The probability can be used to stock items. Overages and deficits can be used to further refine the distribution. Other embodiments are also disclosed.

Abstract: Examples of the disclosure project resource demand. In some examples, a first factor that corresponds to a task and/or a resource is identified. The first factor is associated with one or more scenarios. A model associated with the scenarios is generated. The model includes the first factor. The model is used to generate a projection associated with an expected resource demand for a first scenario. The projection is compared with historical data associated with an actual resource demand for the first scenario to determine a variance between the projection and the historical data. Based on the variance, a second factor that does not directly correspond to the task and/or the resource is generated. The second factor is configured to increase an accuracy of the model. Aspects of the disclosure enable the model to be generated, maintained, and/or updated in a calculated and systematic manner for increased performance.

Abstract: A method and a system for calculating a productivity of an industrial system consisting of system modules is provided. A Markov model is stored for each system module, the Markov model indicating the probabilities that a system module is in different operating states and indicating transition rates of state changes between the operating states of the respective system module for each operating state of the respective system module with a different productivity. A Cartesian product is calculated from a first Markov model of a first system module and from a second Markov model of a second system module linked to the first system module. The calculated Cartesian product is then reduced to a Markov model of the combined sub-system. The calculation of the Cartesian product and the subsequent reduction are carried out successively until the combined sub-system forms the entire industrial system.

Abstract: A system and method are provided for providing user-configurable aircraft status displays by which aircraft fleet operations and maintenance personnel may be easily able to monitor the operational fleets under their control to quickly determine a flight status of a particular asset based on a condition represented by one or more displayed attributes. A particular display scheme is provided by which individual users can configure those elements of all source data that they may choose to track in a format that allows for ready identification of a status of any of the particular elements or attributes under observation. A “dashboard-type” display of individual aircraft, and elements of data regarding those individual aircraft, for particular attributes to be monitored by the individual user from available messaging regarding aircraft and aircraft system status.

Abstract: A device may receive a plurality of data items related to an entity to be analyzed. The device may store the plurality of data items using a storage device based on receiving the plurality of data items. The device may analyze the plurality of data items to identify complexity factors related to the entity based on storing the plurality of data items. The complexity factors may positively impact the entity or negatively impact the entity. The device may generate a set of action items associated with modifying operations of the entity to impact the complexity factors related to the entity. The set of action items may be associated with positively impacting the entity. The device may perform a set of actions based on the set of action items to positively impact the entity.

Abstract: Provided is a wind power generation management apparatus including: a collection unit configured to collect first data generated in a wind power plant; a fault occurrence prediction unit configured to compare the collected first data with a predefined normal state model, to create a second data indicating a state of the wind power plant based on a result of the comparison, and to predict occurrence of a fault in the wind power plant according to the second data; and a maintenance plan establishment unit configured to estimate an operating time corresponding to a time from a start of the wind power plant until the fault occurs, and to generate a maintenance plan which can be performed for the fault during the estimated operating time.

Abstract: Various embodiments relating to predictive analytics from visual data are described. For example, a system associated with a matching service can obtain visual data that includes content related to a marketing campaign associated with a particular product or service. The system can determine image information that contains one or more objects relating to a logo for the particular brand or product. The system can process the content item using one or more machine vision algorithms. The system can determine usage data associated with the particular product or service based at least in part on the one or more feature descriptors. The system can aggregate the usage data with other usage data relating to different users across different time periods to compile a database of insight information with respect to the particular product or service. The system can determine one or more usage patterns relating to the particular product or service.

Abstract: A system including a graphical user interface (GUI) displayed on a display device is disclosed. The GUI includes a plurality of images displayed on the display device, each image being of a look that is determined to be trending within a previous time period; and each image is displayed as taken by a photographer and posting on a social network. The plurality of images is filterable based on a selection of one or more locations.

Abstract: A method and a system control the water production for a water distribution network. The method includes collecting field sensor data from a water distribution network, using the received data to model the water distribution network and determining an optimal water flow, and generating the optimal water production plan for controlling the water production in the water distribution network based on received data including the sensor data and the historical data. The system includes a process and memory and processor executable instructions to carry out the above method.

Abstract: The effect of position bias on content performance can be determined in part using artificial intelligence and computer learning. Performance data can include the frequency with which an action, such as a purchase, occurs in response to an instance of content being displayed. The content can be associated with a node at a lowest level of an offering hierarchy, and performance data from the various levels can be rolled up to higher level nodes to obtain sufficient data to for accurate position bias determinations. A bias model can be trained using the data from the various levels, where the training determines weightings for the bias determinations of each level. Once the position bias for an offer is determined, a normalized performance value can be obtained that does not include the effects of the bias. The normalized values can be used to select and place content based on actual performance.

Abstract: A purchasing behavior analysis apparatus includes an acquiring unit that acquires posting information about a specific product from posting information posted to a social networking service; a conversion unit; and an artificial neural network. The artificial neural network includes a first determination layer which determines whether a user is interested in the product, a second determination layer which determines whether the user wants the product, and a third determination layer which determines whether the user is predicted to purchase the product in the future. The purchasing behavior analysis apparatus further includes an interest presence probability calculating unit, a purchase desire probability calculating unit, and a purchase likelihood probability calculating unit.

Abstract: Methods and systems for identifying potential simultaneous operational conflicts among a plurality of assets in a project. One method includes storing operational scheduling data for a project having one or more project assets, the project assets able to perform a plurality of operational activities at defined coordinates, in a scheduling database, and storing project-specific variables for the project in an external data source. A database query is then performed of the scheduling database and the external data source using a computer, returning all possible combinations of the operational activities, including defining a common reference, calculating distances from each defined coordinate to each other defined coordinate, and filtering the calculated distances to filter out potential operational conflicts, for example distances greater than one or more user-defined buffer distances.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for displaying work items according to detected user locations, schedules, and other information. For example, a user's location may be detected by a user device, and work items may be selected for display on the user device. The user may be affiliated with a business organization and the work items may identify business records of the business organization that have associated addresses nearby the user's location and that may be accommodated by the user's schedule. Certain priorities can govern which work items are provided. The work items may be organized as cards of an information deck. The user may interact with and share the cards.

Abstract: The present disclosure is directed to systems and methods for managing a pull-schedule. The system includes a schedule for completing at least one milestone, the schedule comprising an active schedule portion and a pull-schedule portion and one or more tickets that can be represented in the active schedule portion and/or the pull schedule portion, each ticket comprising a task to be completed to reach the at least one milestone. A scheduling service includes a pull column partitioning engine to scan the pull-schedule portion to define one or more columns with boundaries at the vertical positions that do not overlap with any tickets, a pull column assigning engine to assign the one or more tickets to a column and assign planned start and finish dates to the tickets, and a pull column activation engine to move a collection of a tickets contained in a pull column to the active schedule portion.

Abstract: In an approach for monitoring media consumption, a processor receives data from a media collection device, wherein the data comprises at least information generated by at least one media broadcasting device of one or more media broadcasts. A processor compares the data to previously stored signatures, wherein the previously stored signatures are each associated with a respective media broadcast. A processor identifies the one or more media broadcasts using the data and the previously stored signatures. A processor compiles the identified one or more media broadcasts with a set of previously stored media broadcasts associated with the media collection device.

Abstract: A control computer implements a multi-stage process to automatically repair errors in a policy using selectable, pluggable repair modules. In the first stage, the control computer identifies the errors that caused the policies to fail the validation process, and associates the errors with corresponding repair modules. The repair modules comprise information that is needed to correct or repair the errors. In the second stage, the control computer generates commands for correcting the errors based on the information in the repair modules. In a third stage, the control computer applies the commands to the policies that failed the validation process to correct the errors.

Abstract: Application compatibility testing for mobile applications enables enterprises to improve the extraction of mobile application suitability features (MASFs) from an App using techniques other than reading the package's manifest. In addition to performing dependency analysis in the open package format context, embodiments of the invention interpret the analysis results in the context of mobile devices where, in addition to binary, i.e. go/no go, OS compatibility, there is compatibility testing for other suitability metrics, such as enterprise policy compliance and device capability and/or compliance. A MASF results dictionary keeps track of the various identified hardware and software interfaces of the App.

Abstract: A system for inferring intent of visitors to a Website has a visitor-tracking application executing from a digital medium coupled to a server hosting the Website, the server connected to a repository adapted to store data about visitor behavior, and an inference engine for processing the data to infer the intent of visitors. Visitor behavior relative to links is tracked, and intent of a visitor is inferred from one or both, or a combination of analysis of the behavior and deducing meaning for anchor text of links selected.

Abstract: Disclosed herein are a system and a method for managing supply of service. The system may include at least one processor that performs the operations including receiving a plurality of orders for a service; marking a locus based on the plurality of orders, the marked locus relating to a first number of orders of the plurality of orders, the first number of orders sharing a first characteristic, and the marked locus relating to a first location; and identifying at least one provider of the service to whom information relating to the marked locus is to be delivered.

Abstract: Methods, apparatus, systems and articles of manufacture to identify local trade areas are disclosed. An example method includes selecting, with a processor, census block groups (CBGs) associated with a retailer location, identifying, with the processor, a plurality of stores within the selected CBGs and associated all commodities volume (ACV) values for respective ones of the plurality of stores, calculating, with the processor, similarity index values associated with respective pairs of the plurality of stores, generating, with the processor, local trade areas (LTAs) of subgroups of the plurality of stores based on a comparison of the similarity index values to a similarity threshold value, and when a respective one of the LTAs includes a violation of a releasability criterion, preventing, with the processor, erroneous disclosure of market share information by re-distributing the stores within the respective one of the LTAs to a geographically adjacent LTA.