Abstract: A distributed transmitter antenna includes a plurality of antenna segments and a plurality of transmitters. A first transmitter of the plurality of transmitters is coupled to a first antenna segment of the plurality of antenna segments, and a second transmitter of the plurality of transmitters is coupled to the first antenna segment and a second antenna segment of the plurality of antenna segments.

Abstract: A stress isolating interposer includes: an outer pad; an inner pad configured to accommodate a positional sensor is mounted; and a stress isolating structure coupling the outer pad and the inner pad to each other. The outer pad, the stress isolating structure, and the inner pad are a monolithic structure.

Abstract: Some variations provide a metal matrix nanocomposite composition comprising metal-containing microparticles and nanoparticles, wherein the nanoparticles are chemically and/or physically disposed on surfaces of the microparticles, and wherein the nanoparticles are consolidated in a three-dimensional architecture throughout the composition. The composition may serve as an ingot for producing a metal matrix nanocomposite. Other variations provide a functionally graded metal matrix nanocomposite comprising a metal-matrix phase and a reinforcement phase containing nanoparticles, wherein the nanocomposite contains a gradient in concentration of the nanoparticles. This nanocomposite may be or be converted into a master alloy. Other variations provide methods of making a metal matrix nanocomposite, methods of making a functionally graded metal matrix nanocomposite, and methods of making a master alloy metal matrix nanocomposite. The metal matrix nanocomposite may have a cast microstructure.

Abstract: Described is a system for side-channel based detection of cyber-attack. In operation, the system converts data bus signals from a platform (e.g., vehicular platform) into a first time series of system states. The system further converts analog side-channel signals from the platform into a second time-series of system states. Anomalous behavior of the platform is detected by comparing the first time series of system states with the second time series of system states to identify violations of predetermined constraints. Upon detection, the anomalous behavior is designated as a cyber-attack of the platform, which causes the platform to initiate an action based on the detected cyber-attack. Such actions include implementing a safe made, etc.

Abstract: Described is a system for selective transparency in a public ledger. In operation, a first submission by a first entity is logged to the public ledger. The submission is a data entry with a message M and an identification number (ID). Separately, a linkage by a second entity is recorded. The linkage is an encryption and commitment linking the submission by the first entity to a second submission by the second entity. The linkage can be verified through a series of processes, such as by determining a value of linkage verification information. The value of the linkage verification information and corresponding block number is then transmitted to a third entity. The third entity reads the commitments from block Ni and verifies that the commitments are commitments to the same ID using the linkage verification information.

Abstract: A wireless radio-frequency identification (RFID) strain sensor including: a substrate; an antenna on the substrate; and an integrated circuit on the substrate and electrically connected to the antenna. At least one of the substrate and the antenna includes a magnetoelastic material.

Abstract: An antimicrobial coating is disclosed that provides fast transport rates of biocides for better effectiveness to deactivate SARS-CoV-2 and other viruses or bacteria on common surfaces. Some variations provide an antimicrobial structure comprising: a solid structural phase comprising a solid structural material; a continuous transport phase that is interspersed within the solid structural phase, wherein the continuous transport phase comprises a solid transport material; and an antimicrobial agent contained within the continuous transport phase, wherein the solid structural phase and the continuous transport phase are separated by an average phase-separation length from about 100 nanometers to about 500 microns. The antimicrobial structure is capable of destroying at least 99.99 wt % of bacteria and/or viruses in 10 minutes of contact. Many options are disclosed for suitable materials to form the solid structural phase, the continuous transport phase, and the antimicrobial agent.

Abstract: A semiconductor device. In some embodiments, the semiconductor device includes a back gate layer; a buffer layer, on the back gate layer; a device quantum well layer, on the buffer layer; a cap layer, on the device quantum well layer; a top layer, on the cap layer; a first doped region of a first conductivity type, extending at least part-way through the device quantum well layer; a second doped region, of a second conductivity type, within the buffer layer; and a third doped region, of the second conductivity type extending from the top layer to the second doped region. The top layer may include a dielectric layer, and, in the dielectric layer, a plurality of conductive elements, including one or more dot gates, an ohmic contact, a bath gate, a supply gate, and a halo contact.

Abstract: A method of fabricating a gate with a mini field plate includes forming a dielectric passivation layer over an epitaxy layer on a substrate, coating the dielectric passivation layer with a first resist layer, etching the first resist layer and the dielectric passivation layer to form a first opening in the dielectric passivation layer, removing the first resist layer; and forming a tri-layer gate having a gate foot in the first opening, the gate foot having a first width, a gate neck extending from the gate foot and extending for a length over the dielectric passivation layer on both sides of the first opening, the gate neck having a second width wider than the first width of the gate foot, and a gate head extending from the gate neck, the gate head having a third width wider than the second width of the gate neck.

Abstract: Described is a system for feature selection that extends supervised hierarchical clustering to neural activity signals. The system generates, using a hierarchical clustering process, a hierarchical dendrogram representing a set of neural activity data comprising individual neural data elements having neural activity patterns. The hierarchical dendrogram is searched for an optimal cluster parcellation using a stochastic supervised search process. An optimal cluster parcellation of the hierarchical dendrogram is determined that provides a classification of the set of neural activity data with respect to a supervised classifier, resulting in a reduced neural activity feature set. The set of neural activity data is classified using the reduced neural activity feature set, and the classified set of neural activity data is decoded.

Abstract: Described is a system for learning and predicting key phrases. The system learns based on a dataset of historical forecasting questions, their associated time-series data for a quantity of interest, and associated keyword sets. The system learns the optimal policy of actions to take given the associated keyword sets and the optimal set of keywords which are predictive of the quantity of interest. Given a new forecasting question, the system extracts an initial keyword set from a new forecasting question, which are perturbed to generate an optimal predictive key-phrase set. Key-phrase time-series data are extracted for the optimal predictive key-phrase set, which are used to generate a forecast of future values for a value of interest. The forecast can be used for a variety of purposes, such as advertising online.

Abstract: A tunable antenna isolator includes a first wall, a second wall, and an electromagnetic band-gap (EBG) structure located between the first wall and the second wall. The first wall may be a metallic wall or an EBG structure, and the second wall may be a metallic wall or an EBG structure.

Abstract: Methods of in situ fabrication and formation of horizontal nanowires for a semiconductor device employ non-catalytic selective area epitaxial growth to selectively grow a semiconductor material in a selective area opening of predefined asymmetrical geometry. The selective area opening is defined in a dielectric layer to expose a semiconductor layer underlying the dielectric layer. The non-catalytic selective area epitaxial growth is performed at a growth temperature sufficient to also in situ form a linear stress crack of nanoscale width that is nucleated from a location in a vicinity of the selective area opening and that propagates in a uniform direction along a crystal plane of the semiconductor layer in both the semiconductor layer and the dielectric layer as a linear nanogap template. The semiconductor material is further selectively grown to fill the linear nanogap template to in situ form the nanowire that is uniformly linear.

Abstract: A method of forming a sandwich structure including at least partially filling an open volume of an open cellular core with a sacrificial mold material, consolidating the sacrificial mold material to form a sacrificial mold, laying up a composite facesheet on each of at least two surfaces of the open cellular core, co-curing the composite facesheets by applying a consolidation temperature and a compaction pressure to the composite facesheets to form the sandwich structure, and removing the sacrificial mold. The compaction pressure is greater than a compressive strength of the open cellular core and less than a combined compressive strength of the open cellular core and the sacrificial mold.

Abstract: Described is a system for decoding and validating memory consolidation. During operation, the system receives electroencephalographic (EEG) data while a subject is performing a specific task. Nuisance signals are then removed from the EEG data, resulting in a nuisance free signal. Skill feature vectors are generated from the nuisance free signal using time-invariant feature extraction. A skill classifier can then be trained for the specific task based on the skill feature vectors to generate a subject specific model regarding a memory replay for the specific task. Finally, electrodes in a neural cap are activated based on the memory replay.

Abstract: Described is a system for contrast and entropy-based perception adaption to optimize perception. The system is operable for receiving an input image of a scene with a camera system and detecting one or more objects (having perception data) in the input image. The perception data of the one or more objects is converted into probes, which are then converted into axioms using probabilistic signal temporal logic. The axioms are evaluated based on probe bounds. If the axioms are within the probe bounds, then results are provided; however, if the axioms are outside of the probe bounds, the system estimates optimal contrast bounds and entropy bounds as perception parameters. The contrast and entropy in the camera system are then adjusted based on the perception parameters.

Abstract: A method of training an artificial neural network having a series of layers and at least one weight matrix encoding connection weights between neurons in successive layers. The method includes receiving, at an input layer of the series of layers, at least one input, generating, at an output layer of the series of layers, at least one output based on the at least one input, generating a reward based on a comparison of between the at least one output and a desired output, and modifying the connection weights based on the reward. Modifying the connection weights includes maintaining a sum of synaptic input weights to each neuron to be substantially constant and maintaining a sum of synaptic output weights from each neuron to be substantially constant.

Abstract: Described is a system to evaluate and reduce perception error in object detection and recognition. The system includes a perception module that receives perception data (of an object(s)) from an environment proximate a mobile platform. Perception probes are generated that describe one or more characteristics of the objects. The perception probes are converted into probabilistic signal temporal logic (PSTL)-based constraints that provide axioms having statistical analysis of the perception probes. The axioms are evaluated to classify the perception probes as valid or erroneous. Optimal perception parameters are generated by solving an optimization problem based on the axioms, which allows the system to adjust the perception module based on the optimal perception parameters.

Abstract: Described is a system for automatic adjustment of neurostimulation. The system controls stimulation of specific neural regions through a neural device positioned on a human subject, while simultaneously performing recordings from the neural device using a targeted arrangement of stimulating electrodes and distinct types of recording electrodes of the neural device. Stimulation of the specific neural regions is adjusted in real-time based on the recordings from the neural device.

Abstract: A simultaneous dual-band image sensor having a plurality of pixels includes a substrate, a common ground on the substrate, wherein each pixel includes a Band 1 absorber layer on the common ground layer, a barrier layer on the Band 1 absorber layer, a Band 2 absorber layer on the barrier layer, a ring opening in the pixel formed by a removed portion of the Band 2 absorber layer, a removed portion of the barrier layer and a removed portion of the Band 1 absorber layer, wherein the ring opening does not extend through the Band 1 absorber layer, a first contact on a portion of the Band 2 absorber layer inside the ring, and a second contact on a portion of the Band 2 absorber layer outside the ring. The Band 1 absorber layer and the Band 2 absorber layer are n-type, or the Band 1 absorber layer and the Band 2 absorber layer are p-type.