Abstract: An electronic control unit (ECU) of a hands-free module may be tested by an automated voice based testing tool in a first device. The tool reads test input data from an Excel input file. The tool generates simulated audible voice commands in a specified language, accent, pitch, volume or speed to test the hands-free module. The voice commands are transmitted via a speaker to a hands-free module microphone. The hands-free ECU is coupled to a CAN bus and the tool receives CAN bus information corresponding to hands-free module operations. The tool outputs test verdict information and/or CAN bus message logs as text in an Excel file.

Abstract: A system and method for managing churn among the customers of a business is provided. The system and method provide for an analysis of the causes of customer churn and identifies customers who are most likely to churn in the future. Identifying likely churners allows appropriate steps to be taken to prevent customers who are likely to churn from actually churning. The system included a dedicated data mart, a population architecture, a data manipulation module, a data mining tool and an end user access module for accessing results and preparing preconfigured reports. The method includes adopting an appropriate definition of churn, analyzing historical customer to identify significant trends and variables, preparing data for data mining, training a prediction model, verifying the results, deploying the model, defining retention targets, and identifying the most responsive targets.

Abstract: A power grid stabilizing system may include a processor and a network interface executable by the processor to monitor for new event data from power consumption devices over a network. The new event data may include information such as device location, operating information, and sensor data. The system may include an estimation engine operable to analyze the new event data to determine power consumption behavior of a consumption device, and a predictor operable to anticipate an occurrence of a future event responsive to the analysis. The predictor may also predict the outcome of the future event based on analysis of the new event data in relation to past behavior data of the consumption device. The network interface may further communicate the anticipated future event and the predicted outcome to one or more of the other consumption devices.

Abstract: A novel web server farm architecture is provided that combines various cloud components and innovatively maximizes their strengths to achieve a scalable, adaptable, load balanced computing architecture. In one embodiment, this architecture includes a storage host for static content hosting, a cluster of virtual machines (operating as web servers) for dynamic content hosting, and a dedicated application engine for monitoring the load of the virtual machines. A browser or end-application user of a web application is first routed to a static anchor page hosted on the storage host. The browser is subsequently presented with a list of virtual machines and data corresponding to their respective current loads. To access dynamic content, the browser is able to select from the virtual machines based in large part on the reported current loads of the virtual machines. Once a virtual machine is selected, the browser may communicate directly with the selected web server.

Abstract: The present invention generally relates to estimating a customer's lifetime value to a company. The customer's lifetime value to the company can be based on remaining value of existing products and one or both of new purchase value and historic profitability. The remaining value and new purchase value for the customer may be estimated based on the customer's current customer segment and the customer's predicted future migration to a different customer segment. In addition, the remaining value may be estimated based on expected customer attrition, and the new purchase value may be estimated based on expected individual customer purchases.

Abstract: An electronic control unit (ECU) is tested by an automated D-bus testing tool in a first device. The test tool establishes one or more secure shells between the first device and the ECU. The tool reads test input data from an Excel input file. The ECU comprises a software stack including a test client, a Bluetooth middle layer and a hardware abstraction layer, that communicate internally relative to the ECU, via a D-bus. The test tool sends function calls and parameters via the secure shells to the ECU to test execution of Bluetooth functions and/or Bluetooth profiles. The function calls enable simulation of a human machine interface by the test client. The tool monitors API call returns and logs D-bus communications via the one or more secure shells. The test tool outputs test verdict information and/or D-bus communication logs as text in an Excel file.

Abstract: A test script generation system may generate end-to-end test scripts to test a software application. A workflow generator may generate recommendations of suggested modules corresponding to domain-specific reference application maps to include in a workflow. A visual representation of the workflow may be generated and provide an indication of suggested modules that have not been included in the workflow. A script generator may generate the end-to-end test scripts based on the workflow.

Abstract: A system may include computer code for analyzing an upgrade from a first version to a second version of a software program that has been customized without performing the upgrade. The system may provide default state information of default program objects. The default program objects would be included in a default installation of the second version of the software program. The computer code may retrieve current state information of current program objects from an application database. The software program that has been customized may include the current program objects. The system may generate upgrade information based on a comparison between the current state information and the default state information. The upgrade information may identify a subset of the current program objects that would be impacted by the upgrade.

Abstract: A marketing modeling system may include a modeling engine to determine a time-varying marketing driver model to estimate marketing driver contributions to sales for marketing drivers, and determine a time-varying parameter and multiply the time varying parameter by an independent time-varying variable in the time-varying marketing driver model. A driver contribution estimation module in the system may apply the time-varying marketing driver model to consecutive fine-grained time periods to determine estimated contributions to sales for each fine-grained time period and for each marketing driver.

Abstract: Methods and systems are disclosed for planning and delivering curricula and specifically for managing learning and development in organizations. In some embodiments, a method for conducting training in an organization comprises identifying a candidate project in the organization, wherein identifying the candidate project includes determining that the candidate project is at risk and that a level of training for the candidate project is below a training threshold conducting, by one or more processors, a marginal benefit analysis including determining a marginal success rate increase as a function of a training level increase; conducting, by the one or more processors, a learning effectiveness analysis including determining a plurality of effectiveness scores and a plurality of cost values corresponding to a plurality of training courses; and determining a training plan for an employee of the organization based on the marginal benefit analysis and the learning effectiveness analysis.

Abstract: A data shuffling and encryption system may include data storage to store a key and a coding module to shuffle and encrypt an input data sequence. The shuffling and encrypting may include determining an n-dimensional space and populating the n-dimensional space with the input data sequence. A quasi-random function may be applied to sample the n-dimensional space, and samples may be used as an index into the n-dimensional space to determine an output data sequence from the n-dimensional space.

Abstract: According to an example, a method for data trend analysis may include retrieving data from data sources, associating the data with a time, and identifying co-occurrences of terms and concepts within the data. In response to determining that co-occurrences of term and concept pairs reach a predefined threshold, the method may include adding the term and concept pairs to an ontology. The method may include logging occurrences of terms in the ontology within the data with respect to associated data times, identifying a plurality of time periods, and for one of the plurality of time periods and for the logged terms, determining a first score indicative of a weighted term frequency metric for a logged term within the data during the one time period, and determining a second score indicative of a commonality of a presence of the logged term within the data among the plurality of time periods.

Abstract: Evaluation and enforcement of software design quality, in which a system applies design quality rules to a design of a software application to detect violations and provides output describing one or more violations of the design quality rules detected. Based on the output, the system receives user input to address the one or more violations of the design quality rules and, subsequent to receiving the user input, evaluates code developed for the software application for violations of the design quality rules to assess quality of the code being developed for the software application based on the design of the software application.

Abstract: A system that enables reconciliation of accounts between a mobile virtual network operator (MVNO) and a mobile host operator (MHO) includes an asset loader server that receives data that defines a user event. The asset loader server generates a wholesale bill associated with the user event. The rate charged in the generated wholesale bill is based on a negotiated rate between the MVNO and the MHO that is different that the may be different than the rate at which the MVNO charges the user. The asset loader communicates the generated wholesale bill to a billing interface of the MNVO that is configured to receive an extensible markup language (XML) file that defines a wholesale bill associated with the MHO. The format of the generated wholesale bill is substantially the same as the format of the XML file associated with the MHO.

Abstract: A system uses elasticity modeling to enable cross category optimization of store display space for merchandise for any group of stores and items using point-of-sale data. A space elasticity curve is periodically created for each combination of performance metric, store cluster, planogram, and item segment, and is then scaled by individual store. A user can select any combination of stores and planograms, and the system then reconstructs the elasticity curves as individual “synthetic items,” which are averaged across the selected stores by creating average synthetic SKU records that reflect the estimated average store performance in each performance metric. The synthetic items are then used to either evaluate macro space performance across or within store areas, or to determine the best use of overall store display space available to permit management to optimally allocate display space for merchandise.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for updating data stored within the database. In some implementations, actions include determining a cut-off date, defining a first group of data within a first table based on the cut-off date, defining a second group of data within the first table based on the cut-off date, providing the second group of data in a second table, converting the first group of data from a first data structure to a second data structure to provide converted first data within the first table, making the converted first data available for access over a network, converting the second group of data from the first data structure to the second data structure to provide converted second data in the second table, and making the converted second data available for access over the network.

Abstract: A method and system for providing advertising effectiveness searching capabilities, predictive modeling capabilities and usage mining in a location-based services system is disclosed. During operation of the location-based services system, usage information for advertising campaigns placed on the location-based services system is stored. Advertisers are provided with the ability to enter a search request form on a remote terminal to mine the usage information. The search request is then transmitted to an application that searches usage information to generate a response to said search request.

Abstract: A quality inspection and analytics system may include a quality inspection module to receive the information for inspection lots and display the information for the inspection lots simultaneously in a scrollable screen via a user interface. The information for the inspection lots may include inspection metrics, expected values for the inspection metrics and measured values for the inspection metrics. The quality inspection module may receive a usage decision and store the usage decision. Also, the system may include a quality analytics module to execute causal analysis of rejected inspection lots based on the inspection lot information.

Abstract: A device analyzes first text to identify a pair of terms, within the first text, that are alias terms. The device analyzes the first text by performing two or more of: a latent semantic analysis of the pair of terms, based on the pair of terms being associated with a particular tag; a tag-based analysis that determines that the pair of terms are associated with compatible tags; a transitive analysis that determines that a pair of neighbor terms, associated with the pair of terms, are associated with compatible tags; or a co-location analysis based on a distance between the pair of terms in the first text. The device generates, based on analyzing the first text, a glossary that includes the pair of terms identified as alias terms. The device replaces terms within the first text or a second text that is different from the first text, using the glossary.

Abstract: The time required to review or playback multi-media program material can be controlled to reduce the time required to review a program. Segments of the program are indexed to mark their beginning and/or end. By detecting segments in the program material, segments can be selectively played back that are of interest to a viewer with other segments being skipped over.