Dr. King graduated from the University of South Carolina School of Medicine in 1992. He works in Orangeburg, SC and specializes in Cardiovascular Disease. Dr. King is affiliated with The Regional Medical Center.
Family Medical Associates 419 Town Mtn Rd STE 204, Pikeville, KY 41501 6064321403 (phone), 6064329002 (fax)
Education:
Medical School University of Kentucky College of Medicine Graduated: 1982
Languages:
English
Description:
Dr. King graduated from the University of Kentucky College of Medicine in 1982. He works in Pikeville, KY and specializes in Family Medicine. Dr. King is affiliated with Pikeville Medical Center.
Rick Lowe - Atherton CA, US Shaun Coleman - Saratoga CA, US Erik de la Iglesia - Mountain View CA, US Samuel King - Los Gatos CA, US Ashish Khasgiwala - Cupertino CA, US
Assignee:
McAfee, Inc. - Santa Clara CA
International Classification:
H04L 9/32 G06F 12/14 G08B 23/00
US Classification:
713176, 726 23
Abstract:
Objects can be extracted from data flows captured by a capture device. Each captured object can then be classified according to content. Meta-data about captured objects can be stored in a tag. In one embodiment, the present invention includes receiving a request to present a previously captured object to a user, accessing a tag associated with the requested object, the tag containing metadata related to the object, the metadata including an object signature, and verifying that the object has not been altered since capture using the object signature before presenting the object to the user.
Tag Data Structure For Maintaining Relational Data Over Captured Objects
Erik de la Iglesia - Mountain View CA, US Rick Lowe - Atherton CA, US Ratinder Paul Singh Ahuja - Saratoga CA, US Shaun Coleman - Saratoga CA, US Samuel King - Los Gatos CA, US Ashish Khasgiwala - Cupertino CA, US
Assignee:
McAfee, Inc. - Santa Clara CA
International Classification:
G06F 17/30
US Classification:
707741, 707747
Abstract:
Objects captured over a network by a capture system can be indexed to provide enhanced search and content analysis capabilities. In one embodiment the objects can be indexed using a data structure having a source address field to indicate an origination address of the object, a destination address field to indicate a destination address of the object, a source port field to indicate an origination port of the object, a destination port field to indicate a destination port of the object, a content field to indicate a content type from a plurality of content types identifying a type of content contained in the object, and a time field to indicate when the object was captured. The data structure may also store a cryptographic signature of the object to ensure the object is not altered after capture.
Method And Apparatus For Data Capture And Analysis System
Erik de la Iglesia - Mountain View CA, US Rick Lowe - Menlo Park CA, US Ratinder Paul Singh Ahuja - Saratoga CA, US William Deninger - Mountain View CA, US Samuel King - Los Gatos CA, US Ashish Khasgiwala - Cupertino CA, US Donald J. Massaro - Atherton CA, US
Assignee:
McAfee, Inc. - Santa Clara CA
International Classification:
G06F 15/16 G06F 15/173 G06F 11/00
US Classification:
709231, 709224, 726 22
Abstract:
Content leaving a local network can be captured and indexed so that queries can be performed on the captured data. In one embodiment, the present invention comprises an apparatus that connects to a network. In one embodiment, this apparatus includes a network interface module to connect the apparatus to a network, a packet capture module to intercept packets being transmitted on the network, an object assembly module to reconstruct objects being transmitted on the network from the intercepted packets, an object classification module to determine the content in the reconstructed objects, and an object store module to store the objects. This apparatus can also have a user interface to enable a user to search objects stored in the object store module.
Rick Lowe - Atherton CA, US Shaun Coleman - Saratoga CA, US Erik de la Iglesia - Mountain View CA, US Samuel King - Los Gatos CA, US Ashish Khasgiwala - Cupertino CA, US
Assignee:
McAfee, Inc. - Santa Clara CA
International Classification:
H04L 29/06
US Classification:
713176, 726 23
Abstract:
Objects can be extracted from data flows captured by a capture device. Each captured object can then be classified according to content. Meta-data about captured objects can be stored in a tag. In one embodiment, the present invention includes receiving a request to present a previously captured object to a user, accessing a tag associated with the requested object, the tag containing metadata related to the object, the metadata including an object signature, and verifying that the object has not been altered since capture using the object signature before presenting the object to the user.
Tag Data Structure For Maintaining Relational Data Over Captured Objects
Erik de la Iglesia - Mountain View CA, US Rick Lowe - Atherton CA, US Ratinder Paul Singh Ahuja - Saratoga CA, US Shaun Coleman - Saratoga CA, US Samuel King - Los Gatos CA, US Ashish Khasgiwala - Cupertino CA, US
Assignee:
McAfee, Inc. - Santa Clara CA
International Classification:
G06F 17/30
US Classification:
707741, 707747
Abstract:
Objects captured over a network by a capture system can be indexed to provide enhanced search and content analysis capabilities. In one embodiment the objects can be indexed using a data structure having a source address field to indicate an origination address of the object, a destination address field to indicate a destination address of the object, a source port field to indicate an origination port of the object, a destination port field to indicate a destination port of the object, a content field to indicate a content type from a plurality of content types identifying a type of content contained in the object, and a time field to indicate when the object was captured. The data structure may also store a cryptographic signature of the object to ensure the object is not altered after capture.
Signature Match Processing In A Document Registration System
Erik de la Iglesia - Mountain View CA, US Ratinder Ahuja - Saratoga CA, US William Deninger - San Jose CA, US Samuel King - Los Gatos CA, US
International Classification:
H04L 9/00
US Classification:
713176000
Abstract:
A document accessible over a network can be registered. A registered document, and the content contained therein, is not transmitted undetected over and off of the network. Signatures for registered documents are compared to signatures of objects being transmitted on the network to determine if the objects contain registered content.
Method And Apparatus For Data Capture And Analysis System
Erik de la Iglesia - Mountain View CA, US Rick Lowe - Menlo Park CA, US Ratinder Paul Singh Ahuja - Saratoga CA, US William Deninger - Mountain View CA, US Samuel King - Los Gatos CA, US Ashish Khasgiwala - Cupertino CA, US Donald J. Massaro - Altherton CA, US
Content leaving a local network can be captured and indexed so that queries can be performed on the captured data. In one embodiment, the present invention comprises an apparatus that connects to a network. In one embodiment, this apparatus includes a network interface module to connect the apparatus to a network, a packet capture module to intercept packets being transmitted on the network, an object assembly module to reconstruct objects being transmitted on the network from the intercepted packets, an object classification module to determine the content in the reconstructed objects, and an object store module to store the objects. This apparatus can also have a user interface to enable a user to search objects stored in the object store module.
Laurence S. McCabe - Sunnyvale CA Donald R. Langdon - Moutain View CA Joanne Otsuki - Oakland CA David R. Buscaglia - Davis CA Samuel H. King - San Jose CA
Assignee:
Acuson Corporation - Mountain View CA
International Classification:
A61B 506
US Classification:
600454
Abstract:
A method for interactively detecting a maximum velocity from acquired echo signals in an ultrasound system is provided. A processor with maximum velocity code is provided. The code has a variable. A user input provides a value for the variable while the ultrasound system is in a maximum velocity mode. The ultrasound system is operated in a maximum velocity mode. The echo signals are processed to determine said maximum velocity, and the processing is adjusted while remaining in said maximum velocity mode. During CINE playback, delimeters are generated for adjusting the time period of parameter calculation.