Abstract: 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.

Abstract: Embodiments of the present disclosure are directed to a portable podiatric activity tracking system for monitoring the neuromuscular gait, stance, and/or performance related to the feet of an end user. Embodiments are configured to receive, by a podiatric data central (PODAC) module, podiatry data associated with a respective foot of the end user. The podiatry data is generated at least in part by podiatry-related sensors associated with respective movable podiatry trackers (MOPTs). Embodiments can also generate, based at least in part on the podiatry data, summary data related to foot activity related to the end user. Embodiments can transmit the summary data to an end device associated with the end user. A mobile software application associated with the end device can generate active feedback based at least in part on the summary data, where the active feedback is configured to encourage or discourage the foot activity related to the end user.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Various embodiments of the present disclosure provide a multi-layered framework for security of integrated circuits. In one example, an embodiment provides for removing one or more routing tables in a Register Transfer Level (RTL) source code that models a design for an SoC via a hardware description language, comprising replacing the one or more routing tables in the RTL source code with respective programmable memory, transforming a state space of one or more embedded state machines in the RTL source code, transforming one or more portions of combinational logic in the RTL source code, and/or removing one or more portions of security-critical logic in the RTL source code, comprising replacing the one or more portions of security-critical logic in the RTL source code with respective lookup tables.

Abstract: Various embodiments of the present disclosure address technical challenges related to the battery-related constraints of battery electric vehicles (BEVs). Various embodiments described herein provide an innovative framework for replenishing BEV batteries on-the-go with the help of unmanned aerial vehicles (UAVs) and mobile charging stations (MoCS). That is, various embodiments include a mobile multi-modality recharging framework including vehicles and apparatuses configured to provide and/or receive mobile multi-modality recharging, methods for performing and/or configuring mobile multi-modality recharging, computer program products for performing operations for mobile multi-modality recharging, and/or the like. Further, various embodiments described herein provide battery replacement systems and battery storage systems that may be implemented by a BEV or a vehicle receiving mobile multi-modality recharging.

Abstract: Embodiments provide for a learning-rooted IoT platform. In example embodiments, a plug-and-play base pad apparatus includes one or more ports, each configured for hosting a pluggable component. The plug-and-play base pad apparatus further includes one or more of an administration chip or a microcontroller configured to control the apparatus and the one or more ports. The plug-and-play base pad apparatus further includes a battery configured to power the apparatus. The plug-and-play base pad apparatus further includes a power management unit configured to monitor the battery and interface with charging mechanisms.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.