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Nevine
Nevine Ebeid, Kitchener CA
| Patent application number | Description | Published |
|---|---|---|
| 20090113252 | FAULT DETECTION IN EXPONENTIATION AND POINT MULTIPLICATION OPERATIONS USING A MONTGOMERY LADDER - A system and method are provided enabling implicit redundancies such as constant differences and points that should be on the same curve, to be checked at the beginning, end and intermittently throughout the computation to thwart fault injection attacks. This can be implemented by checking the constant difference in point pairs during point multiplication, by checking constant scalings in exponentiation pairs, and by checking that any intermediate point is on the curve and/or in the correct subgroup of the curve. | 04-30-2009 |
Nevine El Solh, Vincennes FR
| Patent application number | Description | Published |
|---|---|---|
| 20100273995 | Polynucleotides and their use for detecting resistance to streptogramin a or to streptogramin B and related compounds - The present invention pertains to polynucleotides derived from staphylococcal genes encoding resistance to streptogramin A or to streptogramin B and chemically related compounds. This invention also relates to the use of the polynucleotides as oligonucleotide primers or probes for detecting Staphylococcal strains that are resistant to streptogramin A or to streptogramin B and related compounds in a biological sample. In another embodiment, the present invention is directed to the full length coding sequences of the staphylococcal genes encoding for resistance to streptogramin A or to streptogramin B from | 10-28-2010 |
Nevine Georggi, Valrico, FL US
| Patent application number | Description | Published |
|---|---|---|
| 20100070171 | System and Method for Real-Time Travel Path Prediction and Automatic Incident Alerts - A path prediction method that uses a commuter's travel patterns to predict their route and destination, and transmit road advisories via a GPS-enabled device. Once the user's location data is transmitted via a GPS-enabled device it is then catalogued and stored in a GIS database. The user's current travel path is then compared to their path history and statistics and a destination is determined based on related spatial and time properties. A warning is then automatically delivered to the user if there is an accident along their predicted path, without requiring any request or input form the user. | 03-18-2010 |