Wisconsin Alumni Research Foundation

Other

Telefonaktiebolaget Lm Ericsson (publ)

At&t Intellectual Property I, L.p.

Ontracmd, LLC

Mobilenerd, Inc.

Suman Banerjee

Arunesh Mishra

Alok Sharma

Kyuin Lee

Shravan Rayanchu

Sayandeep Sen

Yadi Ma

Vivek Shrivastava

Neil Klingensmith

Younghyun Kim

Jia Wang

Xinyu Zhang

Chi Zhang

Jialiang Zhang

Cristian Estan

Qunfeng Dong

Rahul Chatterjee

Ashish Patro

Vladimir Alexander Brik

Bozhao Qi

Arjang Ghassem Zedeh

Varun Chandrasekaran

Xiaohan Fu

Jin-Yi Cai

A method includes establishing a communication link between a communication interface of a first computing device and a virtual machine executed by a second computing device, receiving an available bandwidth parameter associated with the communication link, receiving link characteristic data associated with the communication interface, and configuring a characteristic of the communication link based on the available bandwidth parameter and the link characteristic data. A system includes a first computing device including a communication interface and executing a policy manager and a second computing device executing a virtual machine. The policy manager is to receive an available bandwidth parameter associated with the communication link, receive link characteristic data associated with the communication interface, and configure a characteristic of the communication link based on the available bandwidth parameter and the link characteristic data.

Data management between local client and cloud based application

A biometric processing system for authentication combines multiple biometric signals using machine learning to map the different signals into a common argument space that may be processed by a similar fuzzy extractor. The different biometric signals may be given weight values related to their entropy allowing them to be blended to increase security and availability while minimizing intrusiveness.

Method and apparatus using blended biometric data

A pairing apparatus according to an exemplary embodiment of the present invention includes: a noise filtering part for filtering a noise on a power line; and a processor for pairing with a pairing target device and performing an authentication by generating a secret key using the filtered noise and by using the generated secret key.

Pairing apparatus using secret key based on power line noise, method thereof

A pairing apparatus according to exemplary embodiments of the present invention comprises a position measurer for measuring position changes of a first direction and a second direction; and a processor for generating a secret key using the measured position change of the first direction and the measured position change of the second direction and performing a pairing with a pairing target apparatus using the secret key.

Context-based pairing apparatus, and method thereof

A method includes collecting reference motion data in a device from a motion sensor worn by a user for a movement having a predetermined classification. The motion sensor is attached to a limb having a joint. A user library entry is generated in the device based on the reference motion data and the predetermined classification. Additional motion data is collected in the device from the motion sensor. User motions in the additional motion data corresponding to the user library entry are classified in the device. Range of motion data associated with the user motions is generated in the device. A report is generated in the device including the user motions and the associated range of motion data.

Motion classification user library

A method includes establishing a remote desktop connection between a first computing device and a first virtual machine executed by a second computing device. A stream of data generated by a first application executing on the first virtual machine is received in the first computing device over the remote desktop connection. A user interactivity metric associated with a user's interaction with the first application via the first computing device is determined. A compression metric is generated based on the user interactivity metric. The stream of data is compressed based on the compression metric.

Implementing web browser in virtual machine

A network security system for wireless devices derives a fingerprint from the modulation imperfections of the analog circuitry of the wireless transceivers. These fingerprints may be compared to templates obtained when the wireless devices are initially commissioned in a secure setting and used to augment passwords or other security tools in detecting intruders on the network.

Secure wireless network using radiometric signatures

A method includes establishing a virtual network connection between a local network including a plurality of virtual machines executing on at least one application server and a license server. The license server is executed by a first computing device different than the application server. A first license authorization request is received from a first virtual machine of the plurality of virtual machines at the license server over the virtual network connection. A number of active sessions of the first application executing on the plurality of virtual machines is determined. A license approval or a license denial is selectively sent from the license server over the virtual network connection responsive to the first license authorization request based on the number of active sessions.

Cloud based virtual computing system with license server

A visible light communication system identifies the location of a mobile device using light intensities corrected by mobile device orientation. This location can be used to generate a dynamic cluster of visible light transmitters about the mobile device providing improved 'handoff' between transmitters and reduced shadowing.

Location aware communication system using visible light transmission

A method, system and program product comprise receiving spectrum data from one or more WiFi communication devices being configured to be operable as observers of transmissions within a frequency band associated with a WiFi communication system. The spectrum data at least comprises signal levels and timing information for WiFi communication signals and non-WiFi signals observed within the frequency band. WiFi interferers are distinguished using at least the signal levels and timing information for the non-WiFi signals. A real-time interference impact on the observed WiFi communication signals for each of the distinguished WIFi interferers is determined.

Method, system and program product for detecting, quantifying and localizing of wireless interferers

A ternary content addressable memory (TCAM) provides a pre-classifier section which analyzes a subset of received data values to forward the entire received data values only to selected portions of a TCAM likely holding that data value to substantially reduce power consumption required for classification.

Content addressable memory with reduced power consumption

A transmitter-receiver pair encode data as transmitted symbols according to knowledge about variations in noise immunity between different bit positions of the symbols as a decoded. High usefulness data may be preferentially encoded at those bit positions having greatest noise immunity to improve transmission effectiveness.

Wireless communication system mapping data bits to symbol bit positions according to error rates of those bit positions and data content

A wireless transmission system identifies priorities of data units and changes at least one of the physical transmission rates of the bits of the data unit, the order of transmission of the data units; and the number of retransmission attempts of the data units based on their individual priorities.

Wireless communication system controlling transmission parameters of data units according to data usefulness

A method and apparatus for classifying packets, e.g., at wire speed are disclosed. The method receives a packet and processes the packet through a hardware-based packet classifier having at least one evolving rule. The method then processes the packet through a software-based packet classifier if the hardware-based packet classifier is unable to classify the packet. In one embodiment, the at least one evolving rule is continuously modified in accordance with learned traffic characteristics of the received packets.

Growing community of inventors

Madison, WI, United States of America

Suman Banerjee