May 2014 to 2000 Quotes Specialist Team LeadSoftmart Downingtown, PA Jun 2013 to May 2014 Small & Medium Business Account ManagerWitmer Public Safety Group Coatesville, PA Oct 2011 to Jun 2013 Bids & Quotes AssociateWegmans Food Markets, Inc Malvern, PA Sep 2010 to Oct 2011 Grocery Customer ServiceLionville YMCA Exton, PA Feb 2004 to Sep 2010 Site Supervisor/Lead CounselorBounceU Exton, PA Jan 2007 to Apr 2010 Assistant Manager
Education:
Neumann University Aston, PA Aug 2007 to May 2011 Bachelor of Arts in Political Science, HistoryDelaware County Community College Downingtown, PA Certificate in Management
Apr 2013 to 2000 Industrial Waste Water OperatorBoeing Auburn, WA Mar 2011 to Mar 2013 Environmental Control TechnicianHytek Finishes/ Estherline Kent, WA Sep 2009 to Mar 2010 Chemical Maintenance TechnicianGenie Industries Redmond, WA May 2006 to Jul 2008 Environmental Health and Safety SpecialistBoeing Redmond, WA Jul 1998 to May 2006 Waste Water OperatorTCB Industrial Seattle, WA Aug 1995 to Jul 1998 Environmental TechnicianJohn Manville Kent, WA Mar 1996 to Apr 1997 CompounderNorthwest Enviro Services Seattle, WA Jan 1990 to Oct 1994 Environmental TechnicianWDS Inc Seattle, WA Apr 1989 to Jan 1990 Drywall Hanger (Apprentice)U.S. Army
Nov 1984 to Nov 1988 Water Treatment Specialist
Education:
Highline Community College Sacramento, CA Sep 2008 to Dec 2008 ManagementRenton Technical College Renton, WA Jan 1990 to Feb 1990Quartermaster School Fort Lee, VA Jan 1985 to Mar 1985 Vocational in CoursePetersburg High School Petersburg, VA Aug 1981 to Jun 1984
Oct 2011 to 2000 Bids & Quotes AssociateChester County Department Of Emergency Services West Chester, PA May 2011 to Oct 2011 Emergency Management InternWegmans Food Markets, Inc Malvern, PA Sep 2010 to Oct 2011 Grocery Customer ServiceLionville YMCA Exton, PA Feb 2004 to Sep 2010 Site Supervisor/Lead CounselorBounceU Exton, PA Jan 2007 to Apr 2010 Assistant Manager
Education:
Immaculata University Malvern, PA Sep 2012 Bachelor of Arts in ManagementNeumann University Aston, PA Aug 2007 to May 2011 Bachelor of Arts in Political Science, History
Dr. Cole graduated from the Universidad Autu00F3noma de Guadalajara, Guadalajara, Jalisco, Mexico in 1977. He works in Forest Hills, NY and 1 other location and specializes in Physical Medicine & Rehabilitation. Dr. Cole is affiliated with Kessler Institute For Rehabilitation.
Dr. Cole graduated from the University of Pennsylvania School of Medicine in 1975. He works in Baltimore, MD and specializes in Cardiovascular Disease. Dr. Cole is affiliated with Medstar Union Memorial Hospital, Saint Agnes Hospital, University Of Maryland Saint Joseph Medical Center and University Of Maryland Upper Chesapeake Medical Center.
Thompson Surgical Associates 317 Medical Ctr Dr SW, Fort Payne, AL 35968 2568453336 (phone), 2568453686 (fax)
Education:
Medical School University of Alabama School of Medicine Graduated: 2004
Languages:
English
Description:
Dr. Cole graduated from the University of Alabama School of Medicine in 2004. He works in Fort Payne, AL and specializes in General Surgery. Dr. Cole is affiliated with De Kalb Regional Medical Center.
An indexing system uses a graph-like data structure that clusters features indexes together. The minimum atomic value in the data structure is represented as a leaf node which is either a single feature index or a sequence of two or more feature indexes when a minimum sequence length is imposed. Root nodes are formed as clustered collections of leaf nodes and/or other root nodes. Context nodes are formed from root nodes that are associated with content that is being indexed. Links between a root node and other nodes each include a sequence order value that is used to maintain the sequencing order for feature indexes relative to the root node. The collection of nodes forms a graph-like data structure, where each context node is indexed according to the sequenced pattern of feature indexes. Clusters can be split, merged, and promoted to increase the efficiency in searching the data structure.
The subject disclosure is directed towards a virtual touchpad comprising a region in space positioned relative to a detected user with which a user interacts by hand movements as determined from frames of depth data obtained via a depth camera. The user's hand position or positions in the virtual touchpad region may be converted to coordinates, such as for posting to a message queue for use by an application. The computing device and depth camera may be incorporated into a robot that moves on a floor, with the depth camera angled upwardly and the virtual touchpad region tilted to facilitate user interaction.
Tracking And Following Of Moving Objects By A Mobile Robot
Jean Sebastien Fouillade - Redmond WA, US Adrien Felon - Seattle WA, US Jeffrey Cole - Seattle WA, US Nathaniel T. Clinton - Sammamish WA, US Russell Sanchez - Redmond WA, US Francois Burianek - Kirkland WA, US Malek M. Chalabi - Redmond WA, US Harshavardhana Narayana Kikkeri - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
B25J 13/08
US Classification:
700258, 901 1, 901 46
Abstract:
A robot tracks objects using sensory data, and follows an object selected by a user. The object can be designated by a user from a set of objects recognized by the robot. The relative positions and orientations of the robot and object are determined. The position and orientation of the robot can be used so as to maintain a desired relationship between the object and the robot. Using the navigation system of the robot, during its movement, obstacles can be avoided. If the robot loses contact with the object being tracked, the robot can continue to navigate and search the environment until the object is reacquired.
Service Provision Using Personal Audio/Visual System
Kevin A. Geisner - Mercer Island WA, US Kathryn Stone Perez - Kirkland WA, US Stephen G. Latta - Seattle WA, US Ben J. Sugden - Woodinville WA, US Benjamin I. Vaught - Seattle WA, US Jeffrey B. Cole - Seattle WA, US Alex Aben-Athar Kipman - Redmond WA, US Ian D. McIntyre - Redmond WA, US Daniel McCulloch - Kirkland WA, US
International Classification:
G09G 5/00 G06F 3/033
US Classification:
345633
Abstract:
A collaborative on-demand system allows a user of a head-mounted display device (HMDD) to obtain assistance with an activity from a qualified service provider. In a session, the user and service provider exchange camera-captured images and augmented reality images. A gaze-detection capability of the HMDD allows the user to mark areas of interest in a scene. The service provider can similarly mark areas of the scene, as well as provide camera-captured images of the service provider's hand or arm pointing to or touching an object of the scene. The service provider can also select an animation or text to be displayed on the HMDD. A server can match user requests with qualified service providers which meet parameters regarding fee, location, rating and other preferences. Or, service providers can review open requests and self-select appropriate requests, initiating contact with a user.
Stephen G. Latta - Seattle WA, US Adam G. Poulos - Redmond WA, US Daniel J. McCulloch - Kirkland WA, US Jeffrey Cole - Seattle WA, US Wei Zhang - Redmond WA, US
International Classification:
G09G 5/00
US Classification:
345633
Abstract:
A system and method are disclosed for interpreting user focus on virtual objects in a mixed reality environment. Using inference, express gestures and heuristic rules, the present system determines which of the virtual objects the user is likely focused on and interacting with. At that point, the present system may emphasize the selected virtual object over other virtual objects, and interact with the selected virtual object in a variety of ways.
Control Of Displayed Content In Virtual Environments
Adam G. Poulos - Redmond WA, US Stephen G. Latta - Seattle WA, US Daniel J. McCulloch - Kirkland WA, US Jeffrey Cole - Seattle WA, US
International Classification:
G09G 5/00
US Classification:
345633
Abstract:
A system and method are disclosed for controlling content displayed to a user in a virtual environment. The virtual environment may include virtual controls with which a user may interact using predefined gestures. Interacting with a virtual control may adjust an aspect of the displayed content, including for example one or more of fast forwarding of the content, rewinding of the content, pausing of the content, stopping the content, changing a volume of content, recording the content, changing a brightness of the content, changing a contrast of the content and changing the content from a first still image to a second still image.
Self Learning Face Recognition Using Depth Based Tracking For Database Generation And Update
Harshavardhana Narayana Kikkeri - Bellevue WA, US Michael F. Koenig - Bellevue WA, US Jeffrey Cole - Seattle WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06K 9/62
US Classification:
382103
Abstract:
Face recognition training database generation technique embodiments are presented that generally involve collecting characterizations of a person's face that are captured over time and as the person moves through an environment, to create a training database of facial characterizations for that person. As the facial characterizations are captured over time, they are will represent the person's face as viewed from various angles and distances, different resolutions, and under different environmental conditions (e.g., lighting and haze conditions). Further, over a long period of time where facial characterizations of a person are collected periodically, these characterizations can represent an evolution in the appearance of the person. This produces a rich training resource for use in face recognition systems. In addition, since a person's face recognition training database can be established before it is needed by a face recognition system, once employed, the training will be quicker.
Network-Enabled Group Decision-Making Using Approval Voting
- Minneapolis MN, US Jeffrey Cole - Renton WA, US Kjell Hansen - Normandy Park WA, US
International Classification:
G07C 13/00 H04L 29/06
Abstract:
A computer-implemented method for making one or more decisions in a group decision-making session includes receiving a group initiation input specifying one or more participants to be invited to the session, receiving an input specifying a first prompt along with related first and second options, and receiving, from one or more participants in the session, votes for the first option and/or the second option. It also includes displaying a racetrack that includes a first icon representing the first option, a second icon representing the second option, a number of individual steps, and a first finish line. The first and second icons are displayed on a respective step that corresponds to a number of votes received for the respective first and second option. The first finish line can be adjusted so as to adjust the threshold number of votes needed to determine the winning option for the first prompt.
Jeffrey Cole, director of the Center for the Digital Future at the University of Southern California Annenberg School for Communication and Journalism, predicted that print newspapers would eventually die.
Date: Jun 17, 2018
Category: Headlines
Source: Google
Youtube
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