Arijit Sengupta - San Mateo CA, US Brad A. Stronger - Mountain View CA, US
Assignee:
BeyondCore, Inc. - San Mateo CA
International Classification:
G06F 17/00
US Classification:
707690
Abstract:
Methods and systems for identifying critical fields in documents, for example so that quality improvement efforts can be prioritized on the critical fields. One aspect of the invention concerns a method for improving quality of a data processing operation in a plurality of documents. A set of documents is sampled. An error rate for fields in the documents is estimated based on the sampling. Critical fields are identified based on which fields have error rates higher than a threshold.
Quality Management In A Data-Processing Environment
Arijit Sengupta - San Mateo CA, US Brad A. Stronger - Mountain View CA, US
Assignee:
BeyondCore, Inc. - San Mateo CA
International Classification:
G06F 7/00 G06K 9/00
US Classification:
707690, 382139
Abstract:
A method, system and computer program for quality management of a plurality of documents associated with a data-processing operation of an organization is provided. The documents include several fields, the organization has employees, and the method comprises determination of error rates. Errors are reduced in the plurality of documents by focusing on critical fields. The occurrence of errors is predicted by determining a correlation between the errors and a set of attributes, which is updated. Reducing and predicting errors control the error rate. A method for measuring the quality of a plurality of documents is also provided. The measurement is based on the relative operational impact of the errors and the frequency of errors associated with each field.
Gurcan Aral - Cupertino CA, US John W Peake - Mountain View CA, US Brad A Stronger - Santa Clara CA, US
Assignee:
Trimble Navigation Limited - Sunnyvale CA
International Classification:
G01C 21/00
US Classification:
701214, 701 50
Abstract:
An automatic control system for passive, towed implements is described. The system provides a strategy for optimal control of a towed implement using a nudge input to an autopilot-controlled tractor. Implement path-tracking error, as measured by a GNSS receiver, is consistently corrected to zero.
Fred Chen - Boston MA, US Henry Wu - Brighton MA, US Pei-Lan Hsu - Lakewood CA, US Brad Stronger - Cambridge MA, US Hongshen Ma - Cambridge MA, US Robert L. Sheridan - Lexington MA, US
Assignee:
The General Hospital Corporation - Boston MA Massachusetts Institute of Technology - Cambridge MA
International Classification:
A61B 5/04 A61B 5/0428
US Classification:
600393, 600382, 600509
Abstract:
Various systems and methods are provided for monitoring patient physiological data without the need for adhesives or wires to be connected to a patient. The system is also fully functional without the need for manipulation or intervention by a care provider or medical personnel. In particular, the system can include a pad having a plurality of electrical contacts or electrodes formed thereon in a predetermined pattern. The electrodes can be configured to sense electrical signals produced by a patient's body. A controller in communication with the electrodes can be configured to select and process signals from the electrodes and send the information derived from the electrical signals to an output device for displaying resulting physiological data so that the patient can be monitored.
Arijit Sengupta - San Mateo CA, US Brad A. Stronger - Mountain View CA, US
Assignee:
BEYONDCORE, INC. - San Mateo CA
International Classification:
G06F 11/00
US Classification:
714704, 714E11004
Abstract:
Various embodiments of the invention provide methods and systems for automated quality management and/or monitoring of organization operations, including for example data processing operations. In one aspect of the invention, a quality management system uses an error rate measurement module to automatically monitor the quality of an organizational operation. Information is processed by the organizational operation. The error rate measurement module samples the processed information. It also automatically determines, without human intervention, an error rate based on the sampled information. The error rate accounts for both a frequency of errors and an operational impact of errors.
Shuffling Documents Containing Restricted Information
Brad A. Stronger - Mountain View CA, US Arijit Sengupta - San Mateo CA, US
Assignee:
BeyondCore, Inc. - San Mateo CA
International Classification:
G06F 17/00
US Classification:
715255
Abstract:
A method, system and computer program product for processing documents containing restricted information. The method for processing the documents includes the step of identifying data fields in the document. The method further includes the steps of identifying a critical section(s) containing data corresponding to restricted information, and shuffling this data to create synthesized documents.
Secure Handling Of Documents With Fields That Possibly Contain Restricted Information
Arijit Sengupta - San Mateo CA, US Brad A. Stronger - Mountain View CA, US
Assignee:
BEYONDCORE, INC. - San Mateo CA
International Classification:
G06F 17/24 G06F 15/18 G06F 17/00
US Classification:
706 12, 715255, 715221
Abstract:
A method, system and computer program product for processing documents containing restricted information. One aspect concerns identifying which sections of a document may be critical, non-critical or possibly critical.
Dynamically Updated Secure Handling Of Documents Containing Restricted Information
Arijit Sengupta - San Mateo CA, US Brad A. Stronger - Mountain View CA, US
Assignee:
BEYONDCORE, INC. - San Mateo CA
International Classification:
G06F 21/00
US Classification:
726 1
Abstract:
A method, system and computer program product for processing documents containing restricted information. One aspect concerns updating the relevant information security rules applicable to the documents.
Pinterest
Engineering Manager, Security
Slack Oct 2017 - Jan 2019
Senior Security Engineer
Dropbox Oct 2014 - Oct 2017
Security Engineer
Swish Sep 2012 - Dec 2014
Cofounder and Chief Technology Officer
Beyondcore Nov 2010 - Jul 2012
Senior Algorithms Engineer
Education:
Y Combinator 2012 - 2014
Massachusetts Institute of Technology 2004 - 2008
Bachelors, Bachelor of Science, Mechanical Engineering
Stuyvesant High School 2000 - 2004
Louis Pasteur School of Inquiry and Law 1997 - 2000
Skills:
Python
Interests:
Trimble Navigation Fight Club (1999 Movie) 24 (Tv Series) Grindhouse
2010 to 2000 Senior Algorithms DesignerTrimble Navigation Sunnyvale, CA 2008 to 2010 Controls EngineerMIT Lab for Electromagnetic Cambridge, MA 2007 to 2008 Controls Engineer Somerville, MA Summer
Education:
Massachusetts Institute of Technology Cambridge, MA Jun 2008 B.S. in Mechanical Engineering
Brad Stronger (1991-1997), Maria Kaparakos (1998-2000), Eric Goldberg (1962-1968), Jenny Tsai (1990-1996), Julie Anne Bagu (1974-1977), John Schwerdt (1987-1993)
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