Accenture Global Services Gmbh

Mediatek Singapore Pte. Ltd.

Rahul Mahajan

Stephen Denis Kirkby

Abhijit Uplenchwar

Vishal Bhargava

Tarun Kumar Datta

Dinesh Pandey

Abhijeet Singh Katiyar

Andris Umblijs

Janmesh Srivastava

Conor McGovern

Paul Leyderman

Prarthna Agarwal Goel

Varun Rastogi

Chao Wang

A first communication apparatus dynamically controls data flow in aggregated medium access control (MAC) protocol data unit (AMPDU) aggregation by negotiating an initial block acknowledgement (Block-ACK) window size for the AMPDU aggregation with the second communication apparatus. The first communication apparatus adjusts the AMPDU aggregation during subsequent communication with the second communication apparatus by creating a Block-ACK frame with a reserved field, which has a value indicating a change to the AMPDU aggregation, and then transmitting the Block-ACK frame to the second communication apparatus.

Dynamic flow control in AMPDU aggregation in wireless communications

A method and an apparatus pertaining to power-save operations for the apparatus may involve a processor of the apparatus transmitting, via a transmitter of the apparatus, a power-save request to one or more communication devices associated with the apparatus. The processor may receive, via a receiver of the apparatus, an acknowledgment from each of the one or more communication devices. The processor may cause the apparatus to enter a power-save mode in response to receiving the acknowledgment from each of the one or more communication devices.

Power-save operations for access points

A device may configured to receive a request to provide optimized investment information. The optimized investment information may indicate optimized investments for types of marketing. The device may receive constraint information indicating bounds for the optimized investments. The device may receive sales goal information indicating a sales goal to be achieved by the optimized investments. The device may determine the sales goal is not achievable based on the bounds. The device may broaden the bounds for the optimized investments based on the sales goal not being achievable such that the optimized investments may deviate from the bounds. The device may determine the optimized investments based on a deviation of the optimized investments from the bounds and a total investment cost of the optimized investments to achieve the sales goal. The device may provide the optimized investment information, indicating the optimized investments, to another device based on the request.

Optimizing investments to achieve a sales goal

Preparing a content package by determining a requesting user profile based on the requesting user identity. This includes calculating an inclusion value for a content file based on at least one factor. The factor may be a social networking factor. The social networking factor is based on a profile attribute linking the requesting user identity to at least one friend user identity and a content rating attribute linking the content file to the friend profile. Other factors are a content aging factor based on a content age value and a request length factor based on a content length value. The calculated inclusion value is compared to an inclusion condition. If the calculated inclusion value satisfies the inclusion condition, incorporating the content file into the content package.

Preparing content packages

An integration environment generator receives an input file and converts the input file into a markup language file. The input file identifies modules for an application to be deployed, dependencies among the modules, test cases for testing the modules, and scheduling information. The integration environment generator receives rules and validates the markup language file against the rules. The rules specify a unified format for including the dependencies of the modules in the input file. The integration environment generator identifies the modules, the dependencies among the modules, and the scheduling information and the test cases from the validated markup language file. The integration environment generator selects a build script template for the identified dependencies, a scheduling script template for the identified scheduling information and a test case script template for the identified test cases and generates a build script, a scheduling script and a test case script from the templates.

Integration environment generator

An online analytical processing (OLAP) specification system for specifying a new OLAP cube from an OLAP cube template including an OLAP cube template determination module determining the OLAP cube template and retrieve a corresponding template metadata file, the template metadata file including metadata defining the structure of the OLAP cube template. The OLAP specification system also includes a metadata copy module copying the template metadata file to create a base metadata file. The OLAP specification system also includes a viable options generation module generating and presenting viable options for modifying metadata in the base metadata file to define the new OLAP cube, where the viable options for modifying metadata in the base metadata file conforms with one or more predetermined rules. The OLAP specification system further includes a metadata receipt module receiving input via a user interface indicating a modification to the metadata in the base metadata file based on the presented viable options and storing the modified base metadata file as a new metadata file defining the new OLAP cube.

Flexible cube data warehousing

A hierarchal view preserving relationships between data is generated by storing information related to sales and investment. The information includes dimensions and each of the dimensions includes a level and each of the levels is described by variables. Relationships between the variables are also stored. A request for a hierarchy is received. The requested hierarchy includes a set of dimensions from the stored dimensions, a level for each dimension in the set, and a sequence of the dimensions or levels in the hierarchy. A computer system calculates values for the variables in the levels for the requested hierarchy using the stored relationships that are applicable to the variables in the levels. A view of the hierarchy is generated and includes the calculated values. The view also includes the dimensions or levels of the requested hierarchy in the sequence specified for the requested hierarchy.

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New Delhi, India

Rahul Mahajan