Joshua W Friedman

Address:

200 E 61 St APT 35B, New York, NY 10065

Phone:

9176856999

VIN:

WP0AB29999S721401

Make:

PORSCHE

Model:

911

Year:

2009

US Patent:

6511321, Jan 28, 2003

Filed:

Nov 20, 2000

Appl. No.:

09/716804

Inventors:

Richard Trushkowsky - Morganville NJ
Joshua Friedman - Ridgefield CT

Assignee:

Ad Dent Inc. - Danbury CT

International Classification:

A61C 308

US Classification:

433164, 433 29

Abstract:

A dental device for assisting in the filling and curing of a dental restoration with light activated materials having a truncated conical shape with a disposable insert member at its apex. The conical holding device has an opening at the base to accommodate a light guide and an opening at the apex to accommodate a disposable insert member. Each insert member has a shape tapered at one end thereof and an indicator means to monitor the depth of the restoration to the pulpal floor and to provide alignment of the preparation relative to the marginal ridge of the adjacent tooth.

US Patent:

20220248087, Aug 4, 2022

Filed:

Apr 22, 2022

Appl. No.:

17/727388

Inventors:

- New York NY, US
Jonathan Sullivan - Hurricane UT, US
Molly Poppie - Arlington Heights IL, US
John Charles Coughlin - Oldsmar FL, US
Neung Soo Ha - Bethesda MD, US
Paul Chimenti - Tampa FL, US
Rachel Worth Olson - Elk Grove Village IL, US
Samantha M. Mowrer - San Francisco CA, US
David J. Kurzynski - South Elgin IL, US
Joshua Ivan Friedman - New York NY, US
Adam E. Hasinski - Chicago IL, US

International Classification:

H04N 21/442
H04N 21/258
H04N 21/658
H04N 21/25

Abstract:

Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying, by executing an instruction with a processor, in the return path data, first tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events, determining, by executing an instruction with a processor, a ratio between first tuning events in the return path data and second tuning events in the return path data, the first tuning events attributed to the first group of the set top boxes, the second tuning events attributed to a second group of the set top boxes classified at not associated with machine events, and in response to the ratio satisfying a threshold during a time interval, removing second tuning data associated with the time interval from the first tuning data.

US Patent:

20200228865, Jul 16, 2020

Filed:

Jan 20, 2020

Appl. No.:

16/747374

Inventors:

- New York NY, US
Jonathan Sullivan - Hurricane UT, US
Molly Poppie - Arlington Heights IL, US
John Charles Coughlin - Oldsmar FL, US
Neung Soo Ha - Bethesda MD, US
Paul Chimenti - Tampa FL, US
Rachel Worth Olson - Elk Grove Village IL, US
Samantha M. Mowrer - San Francisco CA, US
David J. Kurzynski - South Elgin IL, US
Joshua Ivan Friedman - New York NY, US
Adam E. Hasinski - Chicago IL, US

International Classification:

H04N 21/442
H04N 21/258
H04N 21/658
H04N 21/25

Abstract:

Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.

US Patent:

20200117979, Apr 16, 2020

Filed:

Dec 21, 2018

Appl. No.:

16/230620

Inventors:

- New York NY, US
Joshua Ivan Friedman - New York NY, US
Elise Braun - New York NY, US
Paul Chimenti - Tampa FL, US
Juan Guillermo Llanos - Chicago IL, US
Ludo Daemen - Duffel, BE
Freddy Boulton - Cambridge MA, US

International Classification:

G06N 3/04
H04H 60/52
G06K 9/62
H04N 21/258

Abstract:

Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement neural network processing of set-top box return path data to estimate household demographics are disclosed. Example demographic estimation systems disclosed herein include a feature generator to generate features from return path data reported from set-top boxes associated with return path data households. Disclosed example demographic estimation systems also include a neural network to process the features generated from the return path data to predict demographic classification probabilities for the return path data households, the neural network to be trained based on panel data reported from meters that monitor media devices associated with panelist household. Disclosed example demographic estimation systems further include a demographic assignment engine to assign one or more demographic categories to respective ones of the return path data households based on the predicted demographic classification probabilities.

US Patent:

20190158916, May 23, 2019

Filed:

Nov 21, 2017

Appl. No.:

15/820104

Inventors:

- New York NY, US
Jonathan Sullivan - Hurricane UT, US
Molly Poppie - Arlington Heights IL, US
John Charles Coughlin - Oldsmar FL, US
Neung Soo Ha - Bethesda MD, US
Paul Chimenti - Tampa FL, US
Rachel Worth Olson - Elk Grove Village IL, US
Samantha M. Mowrer - San Francisco CA, US
David J. Kurzynski - South Elgin IL, US
Joshua Ivan Friedman - New York NY, US
Adam E. Hasinski - Chicago IL, US

International Classification:

H04N 21/442

Abstract:

Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.