Xerox Corporation

Palo Alto Research Center Inc.

Conduent Business Services, LLC

Microsoft Technology Licensing, LLC

Fuji Xerox Co., Ltd.

Iii Holdings 1, LLC

Contentguard Holdings, Inc.

Daniel Gureasko Bobrow

Mark Jeffrey Stefik

Robert Thomas Krivacic

Nicolas B Ducheneaut

David Kalman Biegelsen

Eric Allan Bier

James Douglass Thornton

Eric Stephen Nickell

Mudita Singhal

Sureyya Tarkan

Hoda Eldardiry

Gaurang R Gavai

Matthew Darst

Kevin Albanese

Farrukh Ali

Eduardo Cardenas Sanchez

Ronald M Kaplan

Peter Michael Kazmaier

Eric Peeters

Karen Ann Moffat

Jaan Noolandi

Philip D Floyd

W Keith Edwards

Maria N McDougall

William James Rucklidge

Pai Liu

Greg Anderson

Fred Endicott

Armin R Volkel

Nicholas K Sheridon

Jock Douglas Mackinlay

Markus P J Fromherz

L Charles Hebel

Warren Bruce Jackson

Daniel H Greene

Eric Saund

Diana Kathryn Smetters

Robert John Moore

James V Mahoney

Daniel P Huttenlocher

Mark D Weiser

Craig A Smith

Richard Stamford Crouch

Robert D Cheslow

John Seely Brown

Vijay A Saraswat

Daniel Martin Russell

Kyle D Dent

William C Emerson

Roy Want

Scott Alan Elrod

Peter L T Pirolli

Ashish V Pattekar

Stuart Kent Card

Daniel Davies

Ion Matei

Jan O Pedersen

Giovanni Lorenzo Thione

Armin Rainer Völkel

John Turner Maxwell, Iii

Martin Henk Van Den Berg

Margaret Helen Szymanski

Bhaskar Saha

Shane Patrick Ahern

Alan J Demers

Timothy G Lindholm

Jock D MacKinlay

George G Robertson

Barney Pell

John Steven Boreczky

Chad P Walters

Richard J Goldstein

Tolga Kurtoglu

Edward Wu

Michael G Lamming

Ian E Smith

Markus P Fromherz

Vineet Gupta

Alexander E Silverman

Jonathan Rubin

John W Tukey

William C Janssen

Matthew E Howard

D Austin Henderson, Jr

John H Conley

Hoda M A Eldardiry

Larry Melvin Masinter

Victoria M Bellotti

Per-Kristian G Halvorsen

Douglass R Cutting

David G Bell

Stephen W Smoliar

Jesse Vig

Charles P Vorndran

Stanley Miguel Lanning

David Garcia

Harish Arsikere

Michalene M Casey

Rui Abreu

Tomonori Honda

A computer-implemented system and method for planning recurring events is provided. Event objects for events are stored in a database. A trigger notifying the beginning of an event is received and an event object representing the event is generated in response to the trigger. An event class is associated with a set of parameters and is assigned to the event object. A set of activity data is created for the event object and each activity data includes structured and unstructured data describing an event activity occurred during the event. At least one event object is retrieved from the database as a model and the parameter values of the model event object are displayed. At least one of the parameter values of the model event object is modified and the modification is reflected against other parameter values of the model event object that are dependent on the modified parameter value.

Computer-implemented system and method for generating recurring events

Described are natural language web browsers configured to provide a natural language interface to an existing web browser or a newly created web browser. That is, users interact with the web browser employing speech (or text) as input and output instead of using a mouse and keyboard as input and an electronic display screen as output. Embodiments of a natural language web browser converts user questions, statements, and/or commands into actions, reads the resulting HTML and converts the HTML into natural language descriptions to provide to the user.

Natural language web browser

A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for motivating parking enforcement officer performance with the aid of a digital computer

A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer

A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer

A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for monitoring parking enforcement officer performance in real time with the aid of a digital computer

A system and method for providing conditional autonomous messaging to parking enforcement officers with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for providing conditional autonomous messaging to parking enforcement officers with the aid of a digital computer

A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer

A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

System and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer

A method and system for generating a personalized health management recommendation for a user. During operation, the system obtains first physiological data generated by a wearable device worn by the user that indicates a physiological condition of the user. The system then generates a prediction model for the user based on the first physiological data. Next, the system obtains real-time physiological data generated by the wearable device. The system may generate a prediction by analyzing the real-time physiological data to determine whether the user's physiological condition exceeds a threshold parameter according to the prediction model. Upon determining that the threshold parameter has been exceeded, the system may select a recommendation and send the recommendation message to the user's mobile device.

Interactive remote patient monitoring and condition management intervention system

Embodiments of the present invention provide a system for automatically extracting conversational structure from a voice record based on lexical and acoustic features. The system also aggregates business-relevant statistics and entities from a collection of spoken conversations. The system may infer a coarse-level conversational structure based on fine-level activities identified from extracted acoustic features. The system improves significantly over previous systems by extracting structure based on lexical and acoustic features. This enables extracting conversational structure on a larger scale and finer level of detail than previous systems, and can feed an analytics and business intelligence platform, e.g. for customer service phone calls. During operation, the system obtains a voice record. The system then extracts a lexical feature using automatic speech recognition (ASR). The system extracts an acoustic feature. The system then determines, via machine learning and based on the extracted lexical and acoustic features, a coarse-level structure of the conversation.

System for automatic extraction of structure from spoken conversation using lexical and acoustic features

A new and/or improved method, apparatus and/or system is disclosed which aids in extending correct behavioral models to include fault modes and in fault mode analysis of components and/or systems in simulated model environments, including, e.g., FMEA and FMECA and diagnostic fault tree generation.

Method for Modelica-based system fault analysis at the design stage

A computer-implemented method for analyzing organizational performance from episodic data is provided. Event objects for events is maintained in a database. A trigger for notifying beginning of an event is received. An event object is generated in response to the trigger. Activity data is created for the event object and each of the activity data includes notes of a subjective nature having received and messages of an objective nature. Each of the activity data is associated with event tags. Each of the event objects is classified in an event class and the event class includes a pattern of parameters. Analytics of the event objects is performed based on the event tags and the event class. Filters received from a reviewer is defined for search. A list of the analytics of the event objects which pattern of parameters matches with the filters is displayed on a display.

Computer-implemented system and method for analyzing organizational performance from episodic data

Various particle transport systems and components for use in such systems are described. The systems utilize one or more traveling wave grids to selectively transport, distribute, separate, or mix different populations of particles. Numerous systems configured for use in two dimensional and three dimensional particle transport are described.

Systems and methods for transporting particles

Computer-readable media and a computer system for implementing a natural language search using fact-based structures and for generating such fact-based structures are provided. A fact-based structure is generated using a semantic structure, which represents information, such as text, from a document, such as a web page. Typically, a natural language parser is used to create a semantic structure of the information, and the parser identifies terms, as well as the relationship between the terms. A fact-based structure of a semantic structure allows for a linear structure of these terms and their relationships to be created, while also maintaining identifiers of the terms to convey the dependency of one fact-based structure on another fact-based structure. Additionally, synonyms and hypernyms are identified while generating the fact-based structure to improve the accuracy of the overall search.

Fact-based indexing for natural language search

Growing community of inventors

Palo Alto, CA, United States of America

Daniel Gureasko Bobrow