1
Dennis Sunga Fernandez, Irene Hu Fernandez: Integrated network for monitoring remote objects. Fernandez & Associates, February 24, 2004: US06697103 (269 worldwide citation)

Integrated imaging and GPS network monitors remote object movement. Browser interface displays objects and detectors. Database stores object position movement. Cameras detect objects and generate image signal. Internet provides selectable connection between system controller and various cameras acco ...


2
George Hsu: Method and apparatus for a distributed home-automation-control (HAC) window. PNI Corporation, Fernandez & Associates, April 28, 2009: US07526539 (193 worldwide citation)

A software-control-module for enabling a user to monitor and control home-automated-systems and appliances from one or more remote interfaces on a data-packet-network is provided. The module comprises a reporting function for reporting current status of the home-automated-systems and appliances; a s ...


3
Supranamaya Ranjan: Detecting DNS fast-flux anomalies. Narus, Fernandez & Associates, September 4, 2012: US08260914 (159 worldwide citation)

A method for detecting automatically generated malicious domain names in a network. The method includes identifying a plurality of domain name service (DNS) queries in the network, wherein the plurality of DNS queries share a common attribute, analyzing, using a central processing unit (CPU) of a co ...


4
Anatoly Shteynberg, Harry Rodriguez: System and method for driving LED. Exclara, Fernandez & Associates, Nancy R Gamburd, October 2, 2007: US07276861 (154 worldwide citation)

A system drives one or plurality of LEDs regulating their brightness by controlling LEDs average current or voltage. The system includes a switching power converter and an integrated digital regulator with at least one of electrical, thermal and optical feedbacks. The regulator is constructed as a h ...


5
Carl P Korobkin: Photogrammetry engine for model construction. Fernandez & Associates, June 28, 2005: US06912293 (145 worldwide citation)

A system and methods for accessing 2D digital images and 3D geometric models over a network (preferably the Internet) and transforming and composing that media along with 2D digital image and 3D geometric model media, acquired by other means, into enhanced 2D image and 3D model representations for v ...


6
Supranamaya Ranjan: Machine learning based botnet detection using real-time extracted traffic features. Narus, Fernandez & Associates, March 25, 2014: US08682812 (127 worldwide citation)

A method for identifying a botnet in a network, including analyzing historical network data using a pre-determined heuristic to determine values of a feature in the historical network data, obtaining a ground truth data set having labels assigned to data units in the historical network data identify ...


7
Dennis Sunga Fernandez, Megan Hu Fernandez, Jared Richard Fernandez: Local emergency alert for cell-phone users. Dennis Sunga Fernandez, Megan Hu Fernandez, Jared Richard Fernandez, Fernandez & Associates, April 19, 2005: US06882837 (110 worldwide citation)

Local emergency alert service for cell-phone or pager users is provided using regional or localized broadcast to or polling of available, voluntary, or otherwise identified wireless communication devices or other network-accessible nodes operating using different protocol in proximate help area, thu ...


8
Robin Tang: Complete refresh scheme for 3T dynamic random access memory cells. Fernandez & Associates, Fernandez & Associates, October 26, 2004: US06809979 (110 worldwide citation)

A refresh scheme for a semiconductor memory macro that comprises three-transistor dynamic random access memory (3T-DRAM) cells. Similar to an internal refresh operation, an external access command is also interpreted as a read-then-write operation. A clock cycle is partitioned as a plurality of time ...


9
Supranamaya Ranjan, Feilong Chen: Machine learning based botnet detection with dynamic adaptation. Narus, Fernandez & Associates, March 19, 2013: US08402543 (104 worldwide citation)

Embodiments of the invention address the problem of detecting bots in network traffic based on a classification model learned during a training phase using machine learning algorithms based on features extracted from network data associated with either known malicious or known non-malicious client a ...


10
Supranamaya Ranjan, Joshua Robinson, Feilong Chen: Machine learning based botnet detection using real-time connectivity graph based traffic features. Narus, Fernandez & Associates, June 24, 2014: US08762298 (100 worldwide citation)

A method for identifying a botnet in a network, including analyzing historical network data using a pre-determined heuristic to determine values of a connectivity graph based feature in the historical network data, obtaining a ground truth data set having labels assigned to data units in the histori ...