James E Dutton

US Patent:

7664484, Feb 16, 2010

Filed:

Jun 8, 2005

Appl. No.:

11/148849

Inventors:

William Marsh - Austin TX, US
David Langworthy - Kirkland WA, US
James Dutton - Spicewood TX, US

Assignee:

Tangoe, Inc. - Orange CT

International Classification:

H04M 11/00

US Classification:

455406, 4554141, 4554561, 455405, 455408, 37911401, 37911402, 379126, 37911428, 37922102

Abstract:

Systems and methods for pooling a plurality of telecommunication users into groups is disclosed. One method includes ranking the telecommunication users in an order based on a usage parameter. The usage parameter, for example, may be the average service usage time per billing period. Once ranked, the telecommunication users are pooled into at least two groups, each group comprising at least one telecommunication user within a range of ranks. The method may further include calculating estimated costs for the users to use cost-effective rate plans selected from a group of available rate plans and re-pooling the users into other possible combinations to determine the most cost-effective pooling combination and respective rate plans.

US Patent:

8255430, Aug 28, 2012

Filed:

Aug 24, 2009

Appl. No.:

12/546104

Inventors:

James E. Dutton - Spicewood TX, US
Laura Arbilla - Auston TX, US
James B. Casey, Jr. - Austin TX, US
James M. Morrison - Austin TX, US

Assignee:

Caringo, Inc. - Austin TX

International Classification:

G06F 17/00

US Classification:

707807, 707804, 707803, 707795, 707791, 707737

Abstract:

Any client application uses a namespace application to resolve its pathname in order to reference a computer file. Computer files are stored in a fixed-content storage cluster and are accessed by retrieving a unique identifier for the computer file using the namespace application. Any type of pathname scheme from any client application is supported by the namespace. The namespace application uses a bindings table to record bindings between objects including the start date and end date for each binding, and direction and separator data used in the pathname scheme. An attribute table in the namespace keeps track of each attribute and its value for each object of the namespace including a start date and an end date for each attribute. The namespace provides syntactic generality in that any pathname scheme of a client application can be resolved to identify a unique computer file in the storage cluster. The namespace may be shared between applications because when one application modifies a file or its attributes using the namespace, another application using a different pathname scheme has access to the exact same data and modifications.

US Patent:

8566626, Oct 22, 2013

Filed:

Jun 19, 2012

Appl. No.:

13/527430

Inventors:

James E. Dutton - Spicewood TX, US
Laura Arbilla - Austin TX, US
David Yoakley - Austin TX, US

Assignee:

Caringo, Inc. - Austin TX

International Classification:

G06F 1/26
G06F 1/32

US Classification:

713320, 711112

Abstract:

Each node and volume in a storage cluster makes a decision whether to reduce power consumption based on lack of requests from client applications and nodes over a time period. Node configuration parameters determine how long to wait until idling a node or volume, and how long to wait while idle before performing integrity checks. A bid value is calculated by each node and reflects how much it will cost for that node to write a file, read a file, or keep a copy. A node with the lowest bid wins, and nodes that are idle have a premium added to each bid to ensure that idle nodes are kept idle. In an archive mode, writes bids are reversed, nodes with less capacity submit lower bids, fuller nodes fill up faster and are then idled, while empty or near empty nodes may remain idle before winning a write bid.

US Patent:

20110040568, Feb 17, 2011

Filed:

Jul 19, 2010

Appl. No.:

12/839071

Inventors:

James E. Dutton - Spicewood TX, US
Laura Arbilla - Austin TX, US
David Yoakley - Austin TX, US

Assignee:

CARINGO, INC. - Austin TX

International Classification:

G06Q 10/00
G06F 12/00

US Classification:

705 11, 711112, 711E12001

Abstract:

Each node and volume in a fixed-content storage cluster makes an independent decision whether to reduce power consumption based on lack of requests from client applications and nodes over a configurable time period. Node configuration parameters sleepAfter and wakeAfter respectively determine how long to wait until idling a node or volume, and how long to wait while idle before again performing integrity checks. A bid value is calculated by each node and reflects how much it will cost for that node to write a file, read a file, or keep a copy of the file. A node with the lowest bid wins, and nodes that are idle have a premium added to each bid to help ensure that idle nodes are kept idle. Normally, nodes with more capacity will submit a lower bid to write a file. In an archive mode, writes bids are reversed meaning that nodes with less capacity submit lower bids, meaning that fuller nodes fill up faster and are then idled, while empty or near empty nodes may remain idle for some time before winning a write bid.

US Patent:

20220415029, Dec 29, 2022

Filed:

Jun 24, 2022

Appl. No.:

17/849341

Inventors:

- Austin TX, US
James E. Dutton - Clinton AR, US

International Classification:

G06V 10/77
G06V 10/82
G06V 10/774
G06V 10/764
G06V 10/26

Abstract:

A method is provided for assigning a classification to consumer packaged goods (CPGs). The method includes capturing an image of a plurality of CPGs arranged on a shelf; providing the captured image to a CPG detector; identifying all of the CPGs in the image; producing a set of cropped images, wherein each cropped image shows a single CPG as it appears in the image; and for each member of the set of cropped images, assigning a classification to the CPG in the member of the set of cropped images and establishing a confidence for the assigned classification through a process that includes the steps of (a) identifying a first set of reference images of CPGs whose classification is known, wherein each member of the first set of reference images is semantically similar to the member of the set of cropped images, and (b) identifying details in the member of the set of cropped images that differentiates it from a second set of reference images of CPGs whose classification is known.

US Patent:

20220222485, Jul 14, 2022

Filed:

Mar 30, 2022

Appl. No.:

17/709190

Inventors:

- Austin TX, US
James E. Dutton - Spicewood TX, US
Sean D. Matthews - Pflugerville TX, US

International Classification:

G06K 9/62
G06T 7/73
G06T 11/60
G06T 11/20
G06N 3/02
G06N 5/02
G06Q 10/06
G06Q 10/08
G06V 10/25
G06V 10/40
G06V 20/10

Abstract:

A system is provided for identifying consumer packaged goods (CPGs). The system comprises an imaging device mounted on a mobile platform; a CPG detector which is equipped with a neural network and which (a) utilizes the imaging device to obtain an image containing a plurality of CPGs, (b) detects a set of CPG superclass features in the image, and (c) generates a CPG feature map which maps the location of CPG features in the image, wherein said neural network has been trained on a set of images of CPGs to recognize which of a set of superclasses a detected CPG belongs to; a region proposal network which accepts the CPG feature map as input and which returns a first set of regions in the image where a CPG could be located; a superclassifier which examines each region in the first set of regions to determine if the region contains an instance of a superclass of a CPG, and which outputs a second set of regions containing a CPG; and a superclass proposal layer which operates on each member of the second set of regions and returns a set of superclass proposals for each region.

US Patent:

20210081707, Mar 18, 2021

Filed:

Nov 28, 2020

Appl. No.:

17/106091

Inventors:

- Austin TX, US
James E. Dutton - Spicewood TX, US
Sean D. Matthews - Pflugerville TX, US

International Classification:

G06K 9/62
G06K 9/32
G06K 9/46
G06T 7/73
G06K 9/00
G06T 11/60
G06T 11/20
G06N 3/02
G06N 5/02
G06Q 10/06
G06Q 10/08

Abstract:

A system is provided for identifying consumer packaged goods (CPGs). The system comprises an imaging device mounted on a mobile platform; a CPG detector which is equipped with a neural network and which (a) utilizes the imaging device to obtain an image containing a plurality of CPGs, (b) detects a set of CPG superclass features in the image, and (c) generates a CPG feature map which maps the location of CPG features in the image, wherein said neural network has been trained on a set of images of CPGs to recognize which of a set of superclasses a detected CPG belongs to; a region proposal network which accepts the CPG feature map as input and which returns a first set of regions in the image where a CPG could be located; a superclassifier which examines each region in the first set of regions to determine if the region contains an instance of a superclass of a CPG, and which outputs a second set of regions containing a CPG; and a superclass proposal layer which operates on each member of the second set of regions and returns a set of superclass proposals for each region.

US Patent:

20190385009, Dec 19, 2019

Filed:

Jun 17, 2019

Appl. No.:

16/443790

Inventors:

- Austin TX, US
James E. Dutton - Spicewood TX, US
Sean D. Matthews - Pflugerville TX, US

International Classification:

G06K 9/62
G06K 9/32
G06K 9/46
G06T 7/73
G06T 11/20
G06K 9/00
G06T 11/60

Abstract:

A method is provided for identifying consumer packaged goods (CPGs). The method comprises (a) identifying a set of objects as being a set of CPGs by applying a first level of object recognition to the set of objects, wherein said set of objects has N members, wherein N≥2, and wherein applying the first level of object recognition to the set of objects includes applying a first predefined set of criteria to the object; (b) for each of the N objects, (i) performing a second level of object recognition on the object by applying a second predefined set of criteria to the object, (ii) assigning the object to one of a plurality of predefined superclasses S=[S, . . . , S], wherein j≥2, based on the results of the second level of object recognition, (iii) applying a bounding box to the object, (iv) capturing an image of the object with an image capturing device, and (v) cropping the image to the bounding box, thereby yielding a cropped image of the object; and (c) for each object in each set SεS, (i) performing a third level of object recognition on the cropped image of the object by applying a set of criteria Cto the object, and (ii) assigning the object to one of a plurality of predefined subclasses B=[B, . . . , B], wherein k≥2, based on the results of the third level of object recognition.