Soundararajan Srinivasan - Munhall PA, US Aca Gacic - Pittsburgh PA, US Raghu Kiran Ganti - Champaign IL, US
Assignee:
Robert Bosch GmbH - Stuttgart
International Classification:
A61B 5/00 G06T 15/00
US Classification:
600300, 345419
Abstract:
A physical activity monitoring method and system in one embodiment includes a communications network, a wearable sensor device configured to generate physiologic data associated with a sensed physiologic condition of a wearer, and to generate audio context data associated with a sensed audio context of the wearer, and to form a communication link with the communications network, a memory for storing the physiologic data and the audio context data, a computer and a computer program executed by the computer, wherein the computer program comprises computer instructions for rendering activity data associated with the physiologic data and the audio context data, and a user interface operably connected to the computer for rendering the activity data.
Soundararajan Srinivasan - Munhall PA, US Aca Gacic - Pittsburgh PA, US Raghu Kiran Ganti - Champaign IL, US
Assignee:
ROBERT BOSCH GMBH - Stuttgart
International Classification:
G06F 19/00
US Classification:
700 91
Abstract:
A physical activity monitoring method and system in one embodiment includes a communications network, a wearable sensor device configured to generate physiologic data associated with a sensed physiologic condition of a wearer, and to generate audio context data associated with a sensed audio context of the wearer, and to form a communication link with the communications network, a memory for storing the physiologic data and the audio context data, a computer and a computer program executed by the computer, wherein the computer program comprises computer instructions for rendering activity data associated with the physiologic data and the audio context data, and a user interface operably connected to the computer for rendering the activity data.
Scalable Common Infrastructure For Information Collection From Networked Devices
Seraphin Bernard Calo - Cortlandt Manor NY, US Raheleh B. Dilmaghani - Elmsford NY, US Douglas M. Freimuth - New York NY, US Raghu K. Ganti - Elmsford NY, US Keith William Grueneberg - Stewart Manor NY, US Fan Ye - Ossining NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES - Armonk NY
International Classification:
G06F 15/16 H04W 8/00
US Classification:
4554221, 709202
Abstract:
A common infrastructure collects diverse data and information from large numbers of mobile devices and traditional sensors at Internet scale to support multiple different applications simultaneously. The infrastructure includes a backend phenomenon layer that provides high level abstractions to applications such that they can express their data and information needs in a declarative fashion and coordinate the data collection and processing activities for all applications. An edge layer that manages devices, receives collection requirements from the backend layer, configures and instructs devices for data collection, and conducts aggregation and primitive processing of the data. This layer contains network edge nodes, such as base stations in a cellular network. Each node manages a set of local data generating networked devices. The device agent data layer using common agents on the data generating networked devices receives data collection instructions from the edge layer, performs data collection.
Scalable Common Infrastructure For Information Collection From Networked Devices
Seraphin Bernard Calo - Cortlandt Manor NY, US Raheleh B. Dilmaghani - Elmsford NY, US Douglas M. Freimuth - New York NY, US Raghu K. Ganti - Elmsford NY, US Keith William Grueneberg - Stewart Manor NY, US Fan Ye - Ossining NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES - Armonk NY
International Classification:
G06F 15/173
US Classification:
709223
Abstract:
A common infrastructure collects diverse data and information from large numbers of mobile devices and traditional sensors at Internet scale to support multiple different applications simultaneously. The infrastructure includes a backend phenomenon layer that provides high level abstractions to applications such that they can express their data and information needs in a declarative fashion and coordinate the data collection and processing activities for all applications. An edge layer that manages devices, receives collection requirements from the backend layer, configures and instructs devices for data collection, and conducts aggregation and primitive processing of the data. This layer contains network edge nodes, such as base stations in a cellular network. Each node manages a set of local data generating networked devices. The device agent data layer using common agents on the data generating networked devices receives data collection instructions from the edge layer, performs data collection.
Base Station Beam Management Based On Terminal Transmit Data Indication
- Armonk NY, US Ramya Raghavendra - New York NY, US Bong Jun Ko - Harrington Park NJ, US Mudhakar Srivatsa - White Plains NY, US Nirmit V. Desai - Yorktown Heights NY, US Raghu Kiran Ganti - White Plains NY, US Shiqiang Wang - White Plains NY, US Supriyo Chakraborty - White Plains NY, US
International Classification:
H04B 7/06 H04B 7/08 H04W 16/28 H04W 72/04
Abstract:
Aspects of the invention include methods of performing beam management in a base station of a cellular network. A method includes obtaining, at the base station, information indicating whether one or more terminals of the cellular network have data to transmit, and determining, using the base station, during a sweep by the base station if an upcoming terminal has data to transmit based on the information. The sweep by the base station is a sequential movement of the beam over a coverage area. The method also includes foregoing, by the base station, any communication with the upcoming terminal during the sweep based on the information indicating that the upcoming terminal has no data to transmit, and communicating, using the base station, with the upcoming terminal during the sweep based on the information indicating that the upcoming terminal has data to transmit.
Cost Effective Delivery Of Network Connectivity To Remote Areas
- Armonk NY, US Ramya RAGHAVENDRA - New York NY, US Bong Jun KO - Harrington Park NJ, US Mudhakar SRIVATSA - White Plains NY, US Niramit V. DESAI - Yorktown Heights NY, US Raghu Kiran GANTI - White Plains NY, US Shiqiang WANG - White Plains NY, US Supriyo CHAKRABORTY - White Plains NY, US
International Classification:
H04W 40/22 G08G 5/00
Abstract:
A computer-implemented method for delivering network connectivity includes receiving, by an edge server, a set of communication packets from a communication device. The method further includes storing, by the edge server, the set of communication packets as part of outbound data. The method further includes determining, by the edge server, that a mobile access point is within a communicable range of the edge server. The mobile access point travels back and forth between the edge server and a base station. The method further includes transmitting, by the edge server, the outbound data to the mobile access point that is within the communicable range.
Extracting And Analyzing Information From Engineering Drawings
- Armonk NY, US Raghu Kiran Ganti - White Plains NY, US Mudhakar Srivatsa - White Plains NY, US Asif Sharif - Milton, CA Ramey Ghabros - Toronto, CA Somesh Jha - Toronto, CA Mojdeh Sayari Nejad - North York, CA Mohammad Siddiqui - Toronto, CA Yusuf Mai - Richmond Hill, CA
A method and system for extracting information from a drawing. The method includes classifying nodes in the drawing, extracting attributes from the nodes, determining whether there are errors in the node attributes, and removing the nodes from the drawing. The method also includes identifying edges in the drawing, extracting attributes from the edges, and determining whether there are errors in the edge attributes. The system includes at least one processing component, at least one memory component, an identification component, an extraction component, and a correction component. The identification component is configured to classify nodes in the drawing, remove the nodes from the drawing, and identify edges in the drawing. The extraction component is configured to extract attributes from the nodes and edges. The correction component is configured to determine whether there are errors in the extracted attributes.
- Armonk NY, US Pranita Sharad Dewan - White Plains NY, US Raghu Kiran Ganti - Elmsford NY, US Joshua M. Rosenkranz - Westchester NY, US Mudhakar Srivatsa - White Plains NY, US
International Classification:
G06N 3/08 G06F 16/2458 G06F 16/28
Abstract:
Aspects of the present disclosure relate to identifying friction points in customer data. In some embodiments, identifying friction points can include receiving a set of input sequence data and predicted class labels for the set of input sequence data; selecting input sequences, from the set of input sequence data, that have class labels matching a ground truth class label; reducing the selected sequences to anchor points; and grouping the reduced selected sequences into critical data set signatures using discriminatory subsequence mining.
IBM since Aug 2010
Research Staff Member
University of Illinois at Urbana-Champaign Aug 2005 - Aug 2010
Graduate Research Assistant
Robert Bosch May 2008 - Aug 2008
Summer Intern
University of Virginia Aug 2003 - Aug 2005
Graduate Research Assistant
Education:
University of Illinois at Urbana-Champaign 2005 - 2010
Ph.D., Computer Science
Indian Institute of Technology, Madras 1999 - 2003
B.Tech., Computer Science and Engineering
Skills:
Machine Learning Algorithms Computer Science Latex Artificial Intelligence Data Mining Distributed Systems Pattern Recognition Java Parallel Computing Apache Spark
Languages:
English Telugu Hindi
Certifications:
Ibm Master Inventor
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Raghu Ganti
Lived:
Elmsford, NY Champaign, IL Hyderabad, India Chennai, India Charlottesville, VA