Abstract: A computer controlled method for automatically segmenting an ensemble of data. The method starts by acquiring an ensemble of data and data is segmented by identifying a first subset of sequences of Linking Data Elements based on a repository of Linking Data Elements. A second subset of sequences of Information Carrying Data Elements is identified, wherein the sequences are linked by the Linking Data Elements. The subsets are provided in a structured format.
Type:
Grant
Filed:
March 11, 2011
Date of Patent:
April 9, 2013
Assignee:
I. Know NV.
Inventors:
Michael Rik Frans Brands, Dirk Medard Helena Van Hyfte
Abstract: A computer controlled method for automatically segmenting an ensemble of data. The method starts by acquiring an ensemble of data and data is segmented by identifying a first subset of sequences of Linking Data Elements based on a repository of Linking Data Elements. A second subset of sequences of Information Carrying Data Elements is identified, wherein the sequences are linked by the Linking Data Elements. The subsets are provided in a structured format.
Type:
Application
Filed:
March 11, 2011
Publication date:
June 30, 2011
Applicant:
I. Know NV.
Inventors:
Michael Rik Frans Brands, Dirk Medard Helena Van Hyfte
Abstract: A computer controlled method for automatically segmenting an ensemble of data. The method starts by acquiring an ensemble of data and data is segmented by identifying a first subset of sequences of Linking Data Elements based on a repository of Linking Data Elements. A second subset of sequences of Information Carrying Data Elements is identified, wherein the sequences are linked by the Linking Data Elements. The subsets are provided in a structured format.
Type:
Grant
Filed:
September 13, 2007
Date of Patent:
March 22, 2011
Assignee:
I. Know NV.
Inventors:
Michael Rik Frans Brands, Dirk Medard Helena Van Hyfte
Abstract: A method and system for sensor signal data analysis are disclosed. In one aspect, a method includes acquiring sensor signal data from a plurality of sensors. Signal processing is performed on the sensor signal data to extract one or more features of the sensor signal data. The features are signal extracts that are distinguishable among and reproducible along the sensor signal data. With at least one of the features, a plurality of information attributes is associated, and information evaluation is performed on the plurality of information attributes.
Type:
Application
Filed:
December 11, 2009
Publication date:
August 19, 2010
Applicants:
Stichting IMEC Nederland, I-Know
Inventors:
Julien Penders, Michael Rik Frans Brands