Patents by Inventor Ganesh Vaidyanathan
Ganesh Vaidyanathan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20230136134Abstract: Described herein is a method and system for communication in an edge network that interconnects with eNodeB (4G) (108) or gNB (5G) (116). A light mobile core with an IP interface interconnects the edge network with eNodeB (4G) (108) or gNB (5G) (116). Mobile traffic is offloaded at the edge either fully or partially, rather than have the full data ripple through the entire 4G or 5G network to one of the following: Internet, MEC (Multi-Access Edge Compute) platform or a specialized edge cache or edge compute node. The system maintains conformance with 3GPP standards and does not disrupt the S1 interface between eNodeB (108) and EPC (Evolved Packet Core) in 4G networks, and does not disrupt the N3 interface between gNB and core in 5G networks. The system described herein provides the full functionality of 4G or 5G mobile core, and comprises control plane and data plane components.Type: ApplicationFiled: October 6, 2022Publication date: May 4, 2023Applicant: Tambora Systems Singapore Pte. Ltd.Inventors: Anand UPPILI, Ganesh Vaidyanathan Ramachandran, Mahesh Kumar Onkarappa Chindi, Raghu Govardhana, Vikas Dayanand Warad, Vijay Kumar J N
-
Publication number: 20220045917Abstract: An end user device connected to a network is comprises a memory unit, a processor operably coupled to the memory unit, and a client application stored in the memory unit. A sensing module processor senses inputs from one or more sources. The sources comprise points in the network, software applications running on the end user device, software integrated in an operating system of the end user device, and the processor of the end user device. A processing module processes the sensed inputs to determine changes in parameters of the network for enabling the network to provide either a particular quality of experience or a particular network slice. An acting module provides the determined changes as feedback to a server connected to the network. In response, the server effects the determined changes in the parameters of the network for providing either the particular quality of experience or the particular network slice.Type: ApplicationFiled: June 17, 2021Publication date: February 10, 2022Inventors: ANAND UPPILI, GANESH VAIDYANATHAN RAMACHANDRAN, VIKAS DAYANAND WARAD, RAGHU GOVARDHANA, MAHESH KUMAR ONKARAPPA CHINDI
-
Publication number: 20120185424Abstract: The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.Type: ApplicationFiled: August 24, 2010Publication date: July 19, 2012Applicant: QUANTUM LEAP RESEARCH, INC.Inventors: Akhileswar Ganesh Vaidyanathan, Eric N. Jean, Mani Thomas, David Louis Hample, Michael Thomas McGowan, Jijun Wang, Eli T. Faulkner, Jay Dee Askren, Albert Josef Boehmler, Durban A. Frazer
-
Publication number: 20120004893Abstract: The present invention relates to a method for the automatic identification of at least one informative data filter from a data set that can be used to identify at least one relevant data subset against a target feature for subsequent hypothesis generation, model building and model testing. The present invention describes methods, and an initial implementation, for efficiently linking relevant data both within and across multiple domains and identifying informative statistical relationships across this data that can be integrated into agent-based models. The relationships, encoded by the agents, can then drive emergent behavior across the global system that is described in the integrated data environment.Type: ApplicationFiled: September 10, 2009Publication date: January 5, 2012Applicant: QUANTUM LEAP RESEARCH, INC.Inventors: Akhileswar Ganesh VAIDYANATHAN, Stephen D. PRIOR, Jijun Wang, Bin Yu
-
Publication number: 20110231356Abstract: The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.Type: ApplicationFiled: July 1, 2010Publication date: September 22, 2011Applicant: QUANTUM LEAP RESEARCH, INC.Inventors: Akhileswar Ganesh Vaidyanathan, Eric N. Jean, Mani Thomas, David Louis Hample, Michael Thomas McGowan, Jijun Wang, Eli T. Faulkner, Jay Dee Askren, Albert Josef Boehmler, Durban A. Frazer
-
Publication number: 20090055150Abstract: The present invention provides a means for performing scalable, computationally efficient and rapid simulations of complex or complex adaptive systems realized through the dynamic interaction of multiple modeling components to generate outputs suited to decision support, analysis and planning. In the context of disease modeling, these outputs can be used for analyzing the impact of disease and the potential value of the use of pharmaceutical and non-pharmaceutical interventions.Type: ApplicationFiled: August 25, 2008Publication date: February 26, 2009Applicant: QUANTUM LEAP RESEARCH, INC.Inventors: Stephen D. PRIOR, Akhileswar Ganesh VAIDYANATHAN, Eli T. FAULKNER, Michael KOLB
-
Patent number: 7467047Abstract: A method of discovering one or more patterns in two sequences of symbols S1 and S2 includes the formation, for each sequence, of a master offset table that groups for each symbol the position in the sequence occupied by each occurrence of that symbol. The difference in position between each occurrence of a symbol in one of the sequences and each occurrence of that same symbol in the other sequence is determined and a Pattern Map is formed. For each given value of a difference in position the Pattern Map lists the position in the first sequence of each symbol therein that appears in the second sequence at that difference in position. The collection of the symbols tabulated for each value of difference in position thereby defines a parent pattern in the first sequence that is repeated in the second sequence.Type: GrantFiled: May 9, 2001Date of Patent: December 16, 2008Assignee: E.I. Du Pont de Nemours & CompanyInventors: Akhileswar Ganesh Vaidyanathan, David Reuben Argentar, Karen Marie Bloch, Herbert Alan Holyst, Allan Robert Moser, Wade Thomas Rogers
-
Patent number: 6941287Abstract: A distributed hierarchical evolutionary modeling and visualization of empirical data method and machine readable storage medium for creating an empirical modeling system based upon previously acquired data. The data represents inputs to the systems and corresponding outputs from the system. The method and machine readable storage medium utilize an entropy function based upon information theory and the principles of thermodynamics to accurately predict system outputs from subsequently acquired inputs. The method and machine readable storage medium identify the most information-rich (i.e., optimum) representation of a data set in order to reveal the underlying order, or structure, of what appears to be a disordered system. Evolutionary programming is one method utilized for identifying the optimum representation of data.Type: GrantFiled: December 17, 1999Date of Patent: September 6, 2005Assignee: E. I. du Pont de Nemours and CompanyInventors: Akhileswar Ganesh Vaidyanathan, Aaron J. Owens, James Arthur Whitcomb
-
Publication number: 20040024661Abstract: The present invention relates generally to systems and methods for managing inventory. A customer, through customer computer (102), and/or a user, through remote depot computer (104), may submit inventory information relating to wheel and brake assemblies to network server (108) and ultimately administrative server (110). This information may be used to update database (112). Inventory may be adjusted based, in-part, on the inventory information provided.Type: ApplicationFiled: March 31, 2003Publication date: February 5, 2004Applicant: Girish ShirhattiInventors: Thomas M. Freel, Ganesh Vaidyanathan, Andrew J. Grile, Thomas M. Barcome, Rodolfo W. Paredes, Marjorie J. Pethick, Girish Shirhatti, David G. Kulakowski, Khamsone Luck
-
Publication number: 20030220771Abstract: A method of discovering one or more patterns in two sequences of symbols S1 and S2 includes the formation, for each sequence, of a master offset table that groups for each symbol the position in the sequence occupied by each occurrence of that symbol. The difference in position between each occurrence of a symbol in one of the sequences and each occurrence of that same symbol in the other sequence is determined and a Pattern Map is formed. For each given value of a difference in position the Pattern Map lists the position in the first sequence of each symbol therein that appears in the second sequence at that difference in position. The collection of the symbols tabulated for each value of difference in position thereby defines a parent pattern in the first sequence that is repeated in the second sequence.Type: ApplicationFiled: May 9, 2001Publication date: November 27, 2003Inventors: Akhileswar Ganesh Vaidyanathan, David Reuben Argentar, Karen Marie Bloch, Herbert Alan Holyst, Allan Robert Moser, Wade Thomas Rogers, Dennis John Underwood
-
Patent number: 6348117Abstract: A method of texturing fluoropolymer film and the textured product produced, which product retains the texture imparted after further processing, such as in thermoforming or molding processes.Type: GrantFiled: October 6, 1997Date of Patent: February 19, 2002Assignee: E. I. du Pont de Nemours and CompanyInventors: Mark Joseph Tribo, Robert G. Pembleton, Michael James Merrill, Akhileswar Ganesh Vaidyanathan
-
Patent number: 6058209Abstract: When identifying an object in an image, very often redundant identifications of the object may occur. The present invention relates to methods of image analysis for resolving such redundant identifications of an object. More specifically, the present invention relates to object identification schemes which obtain multiple representations of the same object. In addition, such identification schemes may identify void, or donut-shaped objects when a single search, or multiples searches, of the image are performed. Further, the present invention is useful in resolving several distinct objects where other identification schemes employing either single or multiple searching have identified these distinct objects as a single clumped object. The present invention may be used, for instance, to determine whether a smaller object is contained within another, larger object.Type: GrantFiled: December 5, 1994Date of Patent: May 2, 2000Assignee: E. I. du Pont de Nemours and CompanyInventors: Akhileswar Ganesh Vaidyanathan, James Arthur Whitcomb
-
Patent number: 5982944Abstract: Image analysis methods and systems are used for identifying objects in a background by defining a data space, such as a histogram or a color space. The data space comprises a plurality of sub-spaces, which could be selected based, for example, on a histogram, or on the way pixel values or color parameters cluster in their respective spaces. The threshold values in the data space are selected, a list of all ordered pairs of thresholds is generated to define multiple data sub-spaces, and the image is multiply searched, once in each sub-space for at least one representation of a candidate object, where the candidate object has at least one predetermined attribute value. Valid objects are identified by comparing the candidate object attribute values to a defined set of valid object attribute values contained in a driver.Type: GrantFiled: December 16, 1997Date of Patent: November 9, 1999Assignee: E. I. du Pont de Nemours and CompanyInventors: Akhileswar Ganesh Vaidyanathan, James Arthur Whitcomb
-
Patent number: 5734747Abstract: The present invention relates to image analysis methods and systems for identifying objects in a background by generating a description, which may be either a histogram or co-occurrence matrix, of the gray level space of the image by using an entropic kernel to recursively analyze the gray level space for candidate objects and validating the presence of valid objects by comparing the candidate object attribute values to a defined set of valid object attribute values contained in a driver. The present invention includes recursive, iterative and parallel processing methods. The methods may be used in a wide variety of industrial inspection techniques, including colony counting and the identification of discrete features in carpets and of pigment elements embedded in a polymer.Type: GrantFiled: July 29, 1994Date of Patent: March 31, 1998Assignee: E. I. du Pont de Nemours and CompanyInventor: Akhileswar Ganesh Vaidyanathan
-
Patent number: 5699452Abstract: The present invention relates to an image analysis method and system for identifying objects in a background by generating a description, which in this case is a co-occurrence matrix, of the gray level space of the image by using an entropic kernel to recursively analyze the gray level space for candidate objects and validating the presence of valid objects by comparing the candidate object attribute values to a defined set of valid object attribute values contained in a driver. The present invention includes recursive, iterative and parallel processing methods. The methods may be used in a wide variety of industrial inspection techniques, including colony counting and the identification of discrete features in carpets and of pigment elements embedded in a polymer.Type: GrantFiled: July 29, 1994Date of Patent: December 16, 1997Assignee: E. I. Du Pont de Nemours and CompanyInventor: Akhileswar Ganesh Vaidyanathan
-
Patent number: 5671290Abstract: The present invention relates to an image analysis method and system for separately identifying each clumped homogeneous object in an image. The image includes at least one clump of homogeneous objects and at least one isolated homogeneous object. This image analysis method may be used in image analysis methods and systems for identifying objects in a background by generating a description, which may be either a histogram or co-occurrence matrix, of the gray level space of the image by using an entropic kernel to recursively analyze the gray level space for candidate objects and validating the presence of valid objects by comparing the candidate object attribute values to a defined set of valid object attribute values contained in a driver. The present invention includes recursive, iterative and parallel processing methods.Type: GrantFiled: July 29, 1994Date of Patent: September 23, 1997Assignee: E. I. Du Pont de Nemours and CompanyInventor: Akhileswar Ganesh Vaidyanathan