Shankar Ramamurthy - Herndon VA, US Ravi Ramamurthy - Bangalore, IN Chandrashekar Ramamurthy - Bangalore, IN
International Classification:
G06N005/02 G06F017/00 G06N005/04 G09B019/00
US Classification:
434118000, 706046000, 434236000
Abstract:
A method and system for generating knowledge objects from captured process data and identification of user interface information includes knowledge object logic, knowledge object content, knowledge object presentation and knowledge object deployment. After capture of process data, analysis of the process is performed. The context of the process is defined, the best practices are identified, and process documentation and training on the process is performed through an interface. Once these elements are prepared as templates, they are deployed to a user to permit even an untrained user to perform the process as if the user were an expert.
System And Method For Capture Of User Actions And Use Of Capture Data In Business Processes
Shankar Ramamurthy - Saratoga CA, US Christopher Beall - San Jose CA, US Hitesh Shah - Santa Clara CA, US Rahul Saxena - Fremont CA, US Nagesh Vempaty - Piedmont CA, US Rajan Gangadharan - Cupertino CA, US Ravi Ramamurthy - Karnataka, IN Chandrashekar Ramamurthy - Karnataka, IN
International Classification:
G05B 19/418
US Classification:
705008000
Abstract:
Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided. A process analysis module is provided to determine performance metrics, best practices, application productivity impacts, compliance, and optimization analysis on the data stored in the process master storage. Methods are disclosed for capture, catalog, combination, correlation, change, compression, and certification.
Remote Process Capture, Identification, Cataloging And Modeling
A system and method for remote capture, identification, cataloging, and modeling of processes remotely captures the processes performed by a user on a machine, for example, a computer. Capture may include capturing input to the computer and manual tasks via video and/or audio capture. The tasks are identified, cataloged and stored. Modeling is possible by streaming the captured data back to a computer. The captured data may be edited and the edited versions compared or benchmarked by performing simulations of each.
Recovery Of Work From A Liquefied Gas Using Hybrid Processing
- Saratoga CA, US Paul M. Mathias - Aliso Viejo CA, US Shankar Ramamurthy - Saratoga CA, US Steven F. Sciamanna - Orinda CA, US
International Classification:
F03B 3/04 F03B 13/00 F04B 19/04
Abstract:
Disclosed techniques include working fluid exergy recovery using hybrid processing. A supply of working fluid at a first pressure and a first temperature is accessed. The working fluid is compressed. The compressing yields the working fluid at a second pressure. The second pressure is greater than the first pressure. The working fluid at the second pressure and a second temperature is warmed using a first heat exchanger. The second temperature is greater than the first temperature. The working fluid at the second temperature is in a gaseous state. The working fluid is expanded in a gaseous state to a third pressure. The expanding is accomplished using a first liquid piston expander. An engine is driven to recover work from the working fluid in a gaseous state. The engine is powered by liquid from the first liquid piston expander.
- Saratoga CA, US Paul M. Mathias - Aliso Viejo CA, US Shankar Ramamurthy - Saratoga CA, US Steven F Sciamanna - Orinda CA, US
International Classification:
F25J 1/00 F28D 20/00 F04B 19/04 F04B 53/08
Abstract:
Disclosed techniques include gas liquefaction using hybrid processing. A gas is compressed adiabatically to produce a compressed gas at a first pressure. The compressing a gas adiabatically is accomplished using one or more compressing stages. Heat is extracted from the compressed gas at a first pressure. The heat that is extracted is collected in a thermal store. The compressed gas at a first pressure is further compressed. The further compressing is accomplished using a first liquid piston compressor. The further compressing produces a compressed gas at a second pressure. The first liquid piston compressor is cooled using a liquid spray. The compressed gas at a second pressure is cooled using a heat exchanger. The cooling accomplishes liquefaction of the compressed gas at a second pressure. The gas that was liquefied is stored for future use. The gas that was liquefied is used to perform work.
- Milpitas CA, US Akshay Krishnamoorthy - Santa Clara CA, US Shankar Ramamurthy - Saratoga CA, US Andrew Sy - Fremont CA, US Ohannes Wanes - Richmond Hill, CA
Assignee:
Virtual Power Systems, Inc. - Milpitas CA
International Classification:
H02J 9/06 H05K 7/14 G06F 1/26
Abstract:
Datacenter current injection for power management is disclosed. A controller for managing power control modules and current sensing for a datacenter power infrastructure unit is provided. At least three power control modules coupled to the controller are each connected to each phase of a three-phase datacenter power grid. Current sense inputs for each phase of the datacenter power grid are coupled to the controller. At least three battery modules are coupled to a corresponding power control module. The coupling provides an energy path between a battery module and phase of the three-phase datacenter power grid. The coupling is managed by the controller. Each power control module includes a battery charging unit and a current mode grid tie inverter unit. The current mode grid tie inverter unit enables current injection into each phase of the three-phase datacenter power grid at constant voltage and in-phase AC frequency for the phase.
Datacenter Power Management With Dynamic Redundancy
Techniques for datacenter power management using dynamic redundancy are disclosed. A power control switch is configured to selectively apply power to one or two power cords of a dual-corded electronic apparatus. When the power control switch energizes both power cords, the electronic apparatus operates in 2N redundancy. When the power control switch energizes only one of the power cords, the electronic apparatus operates in 1N redundancy. The power control switch is configured to dynamically change the redundancy mode based on service level agreement (SLA) criteria, power policies, power supply and demand, and environmental factors.
- Saratoga CA, US Shankar Ramamurthy - Saratoga CA, US
International Classification:
G05B 19/042 H02J 15/00 F04D 25/06
Abstract:
Disclosed techniques include power management using pressure amplification. An energy conversion requirement for a fluid-based energy management system is determined. The energy management system includes a pump-turbine subsystem connected to one or more pressure amplification pipes. Energy is provided to the energy management system, based on the energy conversion requirement. The energy is transformed using the pump-turbine subsystem connected to one or more pressure amplification pipes. The pump-turbine subsystem is operated at an optimal pressure-performance point for the pump-turbine subsystem. The energy that was transformed is delivered, where the delivering is accomplished using the pump-turbine subsystem connected to one or more pressure amplification pipes. The energy management system is operated by an energy management control system. The energy management control system controls coupling of the energy, the pump-turbine subsystem, and the one or more pressure amplification pipes.
Energy Harbors Corporation
Cofounder and Chief Executive Officer
Virtual Power Systems
Founder and Executive Chairman
Virtual Power Systems Aug 2012 - Aug 2017
Founder and Chief Executive Officer
Business Capital Apr 2006 - Aug 2012
Managing Partner
Socialengines Jan 2010 - Jan 2011
Cofounder and Chief Executive Officer
Education:
Indian Institute of Management Bangalore 1980 - 1982
Master of Business Administration, Masters, Finance
Indian Institute of Technology, Bombay Jul 1975 - Jul 1980
Bachelors, Bachelor of Science
Skills:
Start Ups Business Planning E Commerce Product Development Entrepreneur
Interests:
Science and Technology Education Economic Empowerment
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