Lev Volftsun - Herndon VA Clay H. Neighbors - Reston VA Fred R. Rednor - Arlington VA Andrew West - Leesburg VA Adrian Kingston - Sterling VA Mikhail Rabinovitch - Herndon VA
Assignee:
Cisco Technology, Inc. - San Jose CA
International Classification:
H04L 1228
US Classification:
370352, 370465
Abstract:
An auxiliary communication network is introduced into a virtual private network for passing signaling messages that present features not supported by the public, primary communication network portion of the virtual private network. Protocol converters are positioned within the virtual private network to intercept signaling messages, establish a connection through the auxiliary network, determine whether the intercepted messages present unsupported features, and, in which case, route corresponding feature requested through the auxiliary communication network. Preferably, the auxiliary network connection is established in a direction reverse to and in response to the primary network connection.
Advanced Voice Communication Feature Transparency In A Telecommunications Network
Lev Volftsun - Herndon VA, US Clay H. Neighbors - Reston VA, US Fred R. Rednor - Arlington VA, US Andrew West - Leesburg VA, US Adrian Kingston - Sterling VA, US Mikhail Rabinovitch - Herndon VA, US
Assignee:
Cisco Technology, Inc. - San Jose CA
International Classification:
H04L 12/66
US Classification:
370352, 3703955
Abstract:
An auxiliary communication network is introduced into a virtual private network for passing signaling messages that present features not supported by the public, primary communication network portion of the virtual private network. Protocol converters are positioned within the virtual private network to intercept signaling messages, establish a connection through the auxiliary network, determine whether the intercepted messages present unsupported features, and, in which case, route corresponding feature requested through the auxiliary communication network. Preferably, the auxiliary network connection is established in a direction reverse to and in response to the primary network connection.
Systems And Methods For Determining Character Entry Dynamics For Text Segmentation
A method can include receiving a string of characters. The method can include determining one or more possible word boundaries for words in the string of characters based at least partially on a segmentation process. The method can also include determining, for each character in the string of characters, an amount of time between entry of each character on an input device. The method can include determining, based at least partially on the amount of time and the one or more possible word boundaries, one or more actual word boundaries for the words in the string of characters. The method can also include outputting one or more determined words in the string of characters based at least partially on the one or more actual word boundaries.
System For And Method Of Ranking Domain Names Based On User Properties
Disclosed are techniques for ranking domain names for presentation to a user. The techniques include obtaining, over a computer network, domain name data including, for each of a plurality of training domain names, respective user information; generating, by at least one electronic processor, a model relating at least features of each of the plurality of training domain names to respective user features derived from the respective user information; obtaining novel user information for a novel user; obtaining a plurality of domain names; ranking the plurality of domain names, using the model and novel input data including novel user features derived from the novel user information, according to predicted domain name suitability for the novel user; and providing a ranked list of the plurality of domain names.
Systems And Methods For Determining Character Entry Dynamics For Text Segmentation
A method can include receiving a string of characters. The method can include determining one or more possible word boundaries for words in the string of characters based at least partially on a segmentation process. The method can also include determining, for each character in the string of characters, an amount of time between entry of each character on an input device. The method can include determining, based at least partially on the amount of time and the one or more possible word boundaries, one or more actual word boundaries for the words in the string of characters. The method can also include outputting one or more determined words in the string of characters based at least partially on the one or more actual word boundaries.
Detecting And Mitigating Registrar Collusion In Drop-Add Acquisitions Of Domain Names
- Reston VA, US Andrew West - Reston VA, US Nipun Jawalkar - Fribourg, CH Vincenzo Russo - Belp, CH
International Classification:
H04L 29/12
Abstract:
Systems and method for detecting domain name system (DNS) registrar collusion include a collusion detector at a registry. The collusion detector obtains information related to name acquisition requests submitted by DNS registrars attempting to acquire domain names in a drop pool of expired domain names and provides attempt sets containing the domain names targeted by the DNS registrars for acquisition. Each attempt set contains at least one targeted domain name that a respective DNS registrar attempted to acquire via at least one name acquisition request. The collusion detector determines a degree of similarity between two or more attempt sets corresponding to a pair of the DNS registrars, estimates a likelihood of collusion between the pair of DNS registrars based on the degree of similarity, and performs any mitigation action warranted by the likelihood of collusion.
Dr. West graduated from the University of California, San Francisco School of Medicine in 1989. He works in Louisville, KY and specializes in Dermatology and Dermatologic Surgery.
Dr. West graduated from the Indiana University School of Medicine in 1990. He works in San Antonio, TX and specializes in Cardiovascular Disease. Dr. West is affiliated with Baptist Medical Center.
Cape Radiology Group PC 70 Doctors Park, Cape Girardeau, MO 63703 5733346071 (phone), 5733344739 (fax)
Education:
Medical School Saint Louis University School of Medicine Graduated: 1996
Languages:
English
Description:
Dr. West graduated from the Saint Louis University School of Medicine in 1996. He works in Cape Girardeau, MO and specializes in Diagnostic Radiology and Radiology. Dr. West is affiliated with Saint Francis Medical Center and Southeast Hospital.
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