3m Innovative Properties Company

Other

Attenti Electronic Monitoring Ltd

3m Innovative Property Companies

Brian J Stankiewicz

John Allen Wheatley

Ronald David Jesme

Brian L Linzie

Eric C Lobner

Brian E Brooks

Glenn E Casner

Guruprasad Somasundaram

Richard J Moore

Andrew R Fox

Scott D Pearson

Richard E Raby

Nicholas T Gabriel

John M Kruse

Robert D Lorentz

Nathan J Anderson

Timothy J Gardner

David K Misemer

Diane R Wolk

Ravishankar Sivalingam

Anthony J Sabelli

Cristin E Moran

David M Mahli

Jennifer Frances Schumacher

Kristopher W Clover

Andrew P Bonifas

James W Howard

Evan J Ribnick

Jonathan B Arthur

Shannon D Scott

Tasuku Nakayama

Robert W Shannon

William K Smyth

Gautam Singh

Anthony R Davis

Alexandra R Cunliffe

Michael Kelly Canavan

Theresa M Meyer

Jason L Aveldson

Richard Hansen Wolniewicz

Aya Eid

Justin Tungjunyatham

Steven G Lucht

Willem V Bastiaens

Benjamin D Zimmer

Adam C Nyland

Nitsan Ben-Gal Nguyen

Stephen M June

Dennard J Powell

Olen Ronning

Masuma W Henry

Craig G Markell

Alberto Alvarez

Gabriel Alexander Biller

William L Schofield, Iii

Yanina Shkel

Michael E O'Brien

Michael A Nossal

Shingo Moriyasu

Jacob E Odom

Billy L Weaver

Kavita A Ganesan

David E Yarowsky

Nicholas Brian Stankiewicz

Anna N Rafferty

Jennifer F Shumacher

Brian R Hackerson

Haleh Hagh-Shenas

Frank T Herfort

Michael E O'BRIEN

Gabriel A Biller

A method for monitoring impairment indicators, the method includes measuring, with a movement sensor attached to the person, a first signal related to movement of a person during a first time window and electronically storing the at least one numerical descriptor derived from the first signal as reference data for the person. The method further includes measuring, with the movement sensor attached to the person, a second signal related to movement of the person during a second time window and comparing at least one numerical descriptor derived from the second signal to the reference data as a factor to identify an impairment indicator. The present disclosure also includes a device for monitoring impairment indicators.

Impairment detection

At least some aspects of the present disclosure feature systems and methods for obfuscating data. The method includes the steps of receiving an input data stream including a sequence of n-grams, mapping at least some of the sequence of n-grams to corresponding dictionary terms using a dictionary, and disposing the corresponding tokens to an output data stream.

Systems and method for obfuscating data using dictionary

Computer-implemented systems and methods for estimating a replacement status of an HVAC air filter. Outdoor weather data (e.g., outdoor temperature information), is obtained. A Total Runtime Value of the HVAC system is determined based upon the obtained outdoor weather data. Finally, a replacement status of the air filter is estimated as a function of a comparison of the Total Runtime Value with a Baseline Value. By correlating air filter replacement status with an estimated runtime of the HVAC system, a credible predictor of air filter usage is provided. By estimating fan runtime based on easily-obtained outdoor weather data, the methods are readily implemented with any existing HVAC system and do not require installation of sensors or other mechanical or electrical components to the HVAC system.

Systems and methods for predicting HVAC filter change

Generating records of a tangible object in blockchain may be performed by a non-transitory computer-readable storage medium comprising instructions. The instructions, when executed cause a computing device to associate a unique physical tag with a tag identifier. The unique physical tag includes a substrate having a plurality of optically readable indicia disposed at random positions and having a fixed positional relationship within the substrate. The instructions, when executed cause the computing device to associate the tangible object with the unique physical tag including the tag identifier, by generating a record of the tangible object as a block in a blockchain uniquely associated with the tag identifier, where the blockchain is managed by one or more devices on a decentralized network.

Records of a tangible product in blockchain

A device for recognizing activity of an object. The device has a housing configured to be attached to the object and a processing unit disposed in the housing has a processor and a movement sensor. The movement sensor measures a signal related to the movement of the object during a time window. The processor assigns at least one preliminary activity label to the time window based on at least one numerical descriptor computed from the signal. The processor then determines whether to perform additional analysis dependent upon at least the preliminary activity label. The processor then assigns a final activity label to the time window.

Activity recognition using accelerometer data

This disclosure describes systems, devices, and techniques for identifying sections of medical documents that are suitable for automated medical coding. In one example, a computer-implemented method includes receiving, by one or more processors, the medical document, wherein the medical document comprises a plurality of sections. The method also may include determining, by the one or more processors and via application of a classification model to each section of the plurality of sections, codability indicia for each section of the plurality of sections, wherein the codability indicia represents whether the respective section is suitable for automated medical coding. The method may include outputting, by the one or more processors, the respective codability indicia for each section of the plurality of sections.

Identification of codable sections in medical documents

Systems and methods for authenticating material samples are provided. Characteristic features are measured for a batch of material samples that comprise substantially the same composition and are produced by substantially the same process. The measured characteristic features have respective variability that is analyzed to extract statistical parameters. In some cases, reference ranges are determined based on the extracted statistical parameters for the batch of material samples. The corresponding statistical parameters of a test material sample are compared to the reference ranges to verify whether the test material sample is authentic.

Batch authentication of materials for automated anti counterfeiting

Systems and methods for improving visual attention models use effectiveness assessment from an environment as feedback to improve visual attention models. The effectiveness assessment uses data indicative of a particular behavior, which is related to visual attention allocation, received from the environment to assess relative effectiveness of the environment on influencing the particular behavior.

Systems and methods for improving visual attention models

At least some aspects of the present disclosure feature systems and methods for obfuscating data. The method includes the steps of receiving or retrieve an input data stream including a sequence of n-grams, mapping at least some of the sequence of n-grams to corresponding tokens using an obfuscation table, and disposing the corresponding tokens to an output data stream.

Obfuscating data using obfuscation table

Methods for estimating and predicting tooth wear based upon a single 3D digital model of teeth. The 3D digital model is segmented to identify individual teeth within the model. A digital model of a tooth is selected from the segmented model, and its original shape is predicted. The digital model is compared with the predicted original shape to estimate wear areas. A mapping function based upon values relating to tooth wear can also be applied to the selected digital model to predict wear of the tooth.

Estimating and predicting tooth wear using intra-oral 3D scans

Systems and methods for generating random bits by using physical variations present in material samples are provided. Initial random bit streams are derived from measured material properties for the material samples. In some cases, secondary random bit streams are generated by applying a randomness extraction algorithm to the derived initial random bit streams.

Systems and methods for generating random numbers using physical variations present in material samples

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Mahtomedi, MN, United States of America

Brian J Stankiewicz