Myolex Inc.

Securiti, Inc.

Ford Global Technolgoies, LLC

Massachusetts Institute of Technology

Skulpt, Inc.

Verizon Patent and Licensing Inc.

Nortonlifelock Inc.

Michael Rinehart

Elmer C Lupton

Jose L Bohorquez

Haydn Taylor

Ken Li

Ming Lang Kuang

Ilya V Kolmanovsky

John Ottavio Michelini

Anthony Mark Phillips

Xiaolin Wang

Munther Dahleh

Georgia-Evangelia Katsargyri

Deepak Kakadia

Kevin Alejandro Roundy

Sandeep B Bhatkar

Seward B Rutkove

Al-Thaddeus Avestruz

Hai Shao

Rehan Jalil

Humza Iqbal

Michael Busha

Jiachen Mao

A system and a method for classifying sensitive data elements in a file is provided. The method includes receiving and converting, the unstructured data file into a machine-readable format and generating, a plurality of sensitive data features. The plurality of sensitive data features represents single element of the sensitive data. The method includes generating, a plurality of adjacent elements corresponding to the single elements of the sensitive data and generating a plurality of feature categories. The method includes aggregating, the plurality of adjacent node features and the plurality of edge features. The method includes calculating and concatenating the plurality of aggregated adjacent nodes features and the plurality of aggregated edge features. The method includes comparing, the distance of the sensitive data from all of the adjacent sensitive data. The method includes classifying and predicting, the sensitive data to be a true positive or false positive sensitive data by using machine learning.

System and a method for the classification of sensitive data elements in a file

A system and a method for entity resolution is disclosed. An entity reference parsing subsystem to parse one or more entity references of a corresponding seed set of entity into corresponding one or more personal data properties and property values. A property value standardization subsystem performs one or more standardization operations for standardization of the corresponding one or more property values. A property value anonymization subsystem secures the one or more property values by performing one or more anonymization procedures. A property strength quantification subsystem identifies at least one additional property suspected to belong to the seed set of the entity, assigns a property strength score to the at least one additional property, adds the at least one additional property to the corresponding seed set of entity. A local entity resolution and a global entity resolution subsystem performs a first and a second entity resolution process respectively.

System and method for entity resolution of a data element

A system for association of data elements within a document is disclosed. An input data receiving subsystem receives an input data source of the document. A feature generation subsystem obtains one or more lists of personal data, generates one or more personal data features representing a relationship between one or more personal data elements. An affinity computation subsystem assesses each of the one or more personal data features, computes affinity score between the one or more personal data elements, generates one or more affinities. A personal data relationship identification subsystem assigns the one or more personal data elements to corresponding one or more identification stages, derives a set of identities corresponding to the one or more personal data elements. An identity filtration subsystem receives the one or more affinities and the set of identities, determines a validation of the set of identities, filters out the set of identities.

System and method for association of data elements within a document

Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue. Disposable sensors are disclosed.

Advanced electronic instrumentation for electrical impedance myography

The disclosed computer-implemented method for preparing honeypot computer files may include (1) identifying, at a computing device, a search term used by a cyber attacker in an electronic search request, (2) identifying, without regard to a search access restriction, a sensitive computer document in search results stemming from the electronic search request, (3) creating, as a security action in response to the electronic search request, a honeypot computer file based on the sensitive computer document and including the identified search term, and (4) placing the honeypot computer file in the search results. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for preparing honeypot computer files

High performance sensors for electrical impedance myography

Sensors, including disposable sensors, for measuring tissue

A method includes utilizing navigation data from a navigation system to segment a route to be travelled by a travelling vehicle into segments each having a road grade different than neighboring segments. The method further includes discharging a battery of the vehicle as the vehicle travels along an initial segment of the route according to a state-of-charge (SoC) set-point based on the road grade of the initial segment and a variable representative of the road grades of at least two other segments of the route.

Electric vehicle and method of battery set-point control

A device may receive traffic information associated with traffic flows assigned to a group of quality of service (QoS) treatment levels and travelling via a network device. The device may identify a group of target performance metrics corresponding to the group of QoS treatment levels. The device may determine a group of weight factors based on the traffic information and the group of target performance metrics. The group of weight factors may be determined such that a group of predicted performance metrics is optimized with respect to the group of target performance metrics. The device may output information identifying the group of weight factors to cause a parameter, associated with the network device, to be updated based on the group of weight factors. The parameter may relate to a manner in which the traffic flows are processed by the network device.

Quality of service optimization management tool

Systems, methods, and sensors for measuring tissue

Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue.

Devices and methods for evaluating tissue

A path-dependent control of a hybrid electric vehicle (HEV) includes segmenting an original route into segments. A virtual route based on the remaining portion of the original route is generated once the HEV reaches a current segment of the original route. The virtual route includes a first segment corresponding to the current segment of the original route and a last segment representing at least two other segments of the remaining portion of the original route. Battery SoC set-points for the segments of the virtual route are generated. The vehicle is controlled according to the battery SoC set-point for the first segment of the virtual route as the vehicle travels along the current segment of the original route.

Hybrid electric vehicle and method of path dependent receding horizon control

Growing community of inventors

San Jose, CA, United States of America

Michael Rinehart