University of Florida Research Foundation Inc

Christopher Vega

Swarup Bhunia

Patanjali Sristi Lakshmiprasanna Sriramakumara

Reiner Dizon

Prabuddha Chakraborty

Shubhra Deb Paul

Parker Difuntorum

Rohan Reddy Kalavakonda

Sandip Ray

Joel B Harley

A reconfigurable JTAG includes, in part, a core logic, a boundary scan chain cell, one or more reconfigurable blocks (RBs), and a reconfigurable block (RB) programming module. The RBs may include, in part, one or more reconfigurable boundary scan chain blocks (RBB) adapted to couple the boundary scan chain cell to the core logic and to input/output (I/O) ports of the reconfigurable JTAG. The RBs may also include, in part, one or more additional reconfigurable logic (ARL) blocks to provide enhanced logic for locking operations. The RB programmable module may communicate with a memory storing data for configuring the RBBs and ARLs. The RB programming module may configure the RBBs and ARLs based at least in part on the data stored in the memory to disable access to the I/O ports of the JTAG. The RB programming module may configure the RBBs to encrypt the I/O ports in accordance with a cipher algorithm. The RB programming module may also configure the RBBs and ARLs to compare a counter's count to a predefined time and lock the I/O ports after an expiration of the predefined time.

Reconfigurable JTAG architecture for implementation of programmable hardware security features in digital designs

Disclosed are various embodiments related to coordinated monitoring and responding to an emergency situation at a building structure as a supplement to a traditional emergency response. In some embodiments, a system comprises a computing device that is configured to receive sensor data from a sensor network. The sensor network includes monitoring units that monitor various locations of an infrastructure. The computing device determines an occurrence of an emergency event at a location in the infrastructure using an anomaly detector model based at least in part on the sensor data. A hybrid mobile unit is instructed by the computing device to navigate to the location of the emergency event. The hybrid mobile unit is configured to provide mobile sensor data associated with the location to confirm the emergency event.

Smart infrastructures and first-responder network for security and safety hazards

The present disclosure describes various embodiments of systems, apparatuses, and methods for drone-based administration of remotely located devices. One such method comprises deploying an unmanned aerial vehicle from a base station, wherein the base station assigns a maintenance order to the unmanned aerial vehicle for servicing of a remote device, traveling, by the unmanned aerial vehicle, to the location of the remote device, authenticating, by the unmanned aerial vehicle, a valid identification of the remote device; upon the remote device being authenticated by the unmanned aerial vehicle, servicing the remote device by at least charging a power supply of the remote device and transferring contents of a device log to the unmanned aerial vehicle; and after completing the servicing of the remote device; returning to the base station and transferring contents of the device log to the base station.

Drone-based administration of remotely located instruments and gadgets

Apparatus, systems, and methods described herein relate generally to autonomous mobile units carrying a modular configurable battery system that may attach and power mobile units in transportation systems. A method can include determining charge levels, current positions, and transport speeds for an electric vehicle (EV), identifying one or more EVs in need of charging, and mobilizing a Mobile Charging Station (MoCS) to deliver one or more external batteries. A processor, with a memory including computer program code, can be configured to receive current charge level data for mobile battery-powered entities, identify one or more EVs to be charged and the proximity of both MoCS and physical battery stations, and send charging instructions to the EVs. A routing and charge transaction scheduling algorithm can be used to optimize the route of one or more battery-powered entities and to schedule charge transactions between the EV and MoCS and/or the battery station.

System and method for a battery on wheels (BoW) for charging mobile battery-operated units

An integrated circuit includes, in part, a key management unit configured to generate a seeding key during a start-up phase, an encryption module configured to encrypt data using the seeding key and deliver the encrypted data to a second integrated circuit, and an encoder configured to encode the seeding key and deliver the encoded seeding key to the second IC. The second integrated circuit includes, in part, a decoder configured to decode the seeding key. Each of the integrated circuits further includes, in part, a linear-feedback shift register that receives the same clock signals and loads the seeding key.

Defense of JTAG I/O network

Methods and systems are directed to creating a physical unclonable function (PUF) on a Field Programmable Gate Array (FPGA) and generating a unique signature for a device. The method includes, in part, designing a PUF by taking advantages of programmable logic elements on the FPGA, and extracting uninitialized values associated with one or more storage elements comprised in the PUF when the FPGA is powered up. The extracted uninitialized values can be combined to generate the unique signature for the device. The one or more storage elements can be bi-stable memory cells that are mapped to look up tables (LUTs) on the FPGA. The coordinates of these LUTs can be determined based on hamming distance analysis. Alternatively, the one or more storage elements can be memory cells associated with boundary scan cells of a boundary scan chain.

Growing community of inventors

Gainesville, FL, United States of America

Christopher Vega