Abstract: A monocular camera system for a vehicle includes a front mono camera, a side mono camera, and one or more controllers in electronic communication with the front mono camera and the side mono camera. The one or more controllers execute instructions to determine an ideal lagged distance the vehicle travels between a current time step and a previous time step as two asynchronous camera frames are captured by the front mono camera and the side mono camera, determine a number of delayed frames captured by either the front mono camera or the side mono camera between the current time step and the previous time step based on the ideal lagged distance. The controllers determine a direction of travel of the vehicle that indicates which mono camera is selected to provide a previous camera frame captured at the previous time step.

Abstract: A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.

Abstract: A system for managing vehicle body and wheel motion control with a dual clutch differential includes sensors and actuators disposed on the vehicle, the sensors measuring real-time static and dynamic data and the actuators altering static and dynamic behavior of the motor vehicle. A control module executes program code portions stored in memory. The program code portions receive the real-time static and dynamic data; selectively prioritize torque output from a prime mover of the vehicle through the differential to driven wheels of the vehicle to control a body and the driven wheels; model and estimate clutch torque for each clutch of the dual clutch differential; model and estimate a joint clutch torque, a tire force, and corner torque; and generate a torque output for each clutch of the dual clutch differential that is selected to maintain one or more of body control, wheel control, and stability of the motor vehicle.

Abstract: The present disclosure provides for the development and applications of monomeric, oligomeric and/or polymeric semiconductor materials comprising a five-membered heteroaromatic unit (e.g., thiophene; furan; selenophene; etc.) that includes an acrylyl or an acrylyl-like (—C?C—CO—) side chain. The semiconductor materials can be used as organic semiconductors for use in electronic, optical, or optoelectronic devices such as organic thin film transistors and organic photovoltaics. The disclosed semiconductor materials (e.g., semiconducting polymer compounds) can be used as high performance semiconductors (e.g., for organic solar cells or organic photovoltaics (OPVs)), and the disclosed semiconductor materials can be used for other devices (e.g., organic thin film transistors (OTFTs) and sensors, etc.).

Abstract: This invention is related to a new treatment process employed during preparation of the ZnO ETL in a QDLED. The treatment involves exposing the ZnO layer to fluorine (F). In embodiments of this invention, the exposure of the ZnO layer to the F is performed using a fluorine plasma environment (e.g., using CF4, CHF3, C4F8 or SF6). Alternatively, the F exposure may be done by exposing the ZnO ETL to a suitable fluorine-containing substance such as fluorine gas or fluorinated solvents. The F plasma treatment of the ZnO improves both QDLED device EQE and EL stability.

Abstract: A method for determining a tire tread wear estimation of a tire includes receiving, by a controller, a direct tire tread wear measurement, when available, performing an indirect tire tread wear estimation, performing a data fusion of the indirect tire tread wear estimation with the direct tire tread wear measurement when available, estimating a percentage tire life remaining and a mileage to end of tire life, and estimating a refined tire tread wear calibration coefficient for performing future indirect tire tread wear estimations.

Abstract: Disclosed is an electrochemical cell comprising a lithium-based anode and a sulfur-based cathode and an electrolyte, wherein the cathode material comprises a polymeric binder, wherein the binder comprises ammonium functional groups. In one aspect, the polymeric binder comprises ammonium chloride functional groups.

Abstract: A method for estimation of a vehicle tire force includes: receiving, by a controller of a vehicle, a measured vehicle acceleration of the vehicle; receiving, by the controller, a measured wheel speed and a measured yaw rate of the vehicle; forming, by the controller, inertia matrices based on an inertia of rotating components of the vehicle; calculating torques at corners of the vehicle using the inertia matrices; estimating tire forces of the vehicle based on the measured vehicle acceleration, the measured wheel speed, and the inertia matrices; and controlling, by the controller, the vehicle, based on the plurality of estimated longitudinal and lateral tire forces.

Abstract: The disclosed s, structures, and methods are directed to a method and a system for embedding a virtual network onto the substrate optical network comprising embedding the plurality of virtual nodes onto the plurality of substrate nodes in accordance with the plurality of location constraints, computing end-to-end latency associated with a plurality of substrate paths connecting a source substrate node and a destination substrate node, wherein the plurality of substrate paths contain the plurality of substrate links and the plurality of substrate nodes, and embedding a virtual link connecting a source virtual node and a destination virtual node onto the one of the plurality of substrate paths connecting the source substrate node and the destination substrate node, wherein the end-to-end latency associated with the one of the plurality of substrate paths is less than or equal to a maximum allowable latency for the virtual link.

Abstract: The disclosed systems, structures, and methods are directed to a method for embedding the virtual network onto the elastic optical network comprising embedding the plurality of virtual nodes onto the plurality of substrate optical nodes in accordance with the plurality of location constraints provisioning the primary bandwidth demand associated with one of the plurality of virtual links connecting a source virtual node to a destination virtual node onto a plurality of disjoint substrate paths connecting a source substrate optical node and a destination substrate optical node, and embedding the one of the plurality of virtual links connecting the source virtual node to the destination virtual node onto the plurality of disjoint substrate paths connecting the source substrate optical node and the destination substrate optical node.

Abstract: A method for estimation of a vehicle tire force includes: receiving, by a controller of a vehicle, a measured vehicle acceleration of the vehicle; receiving, by the controller, a measured wheel speed and a measured yaw rate of the vehicle; forming, by the controller, inertia matrices based on an inertia of rotating components of the vehicle; calculating torques at corners of the vehicle using the inertia matrices; estimating tire forces of the vehicle based on the measured vehicle acceleration, the measured wheel speed, and the inertia matrices; and controlling, by the controller, the vehicle, based on the plurality of estimated longitudinal and lateral tire forces.

Abstract: Certain embodiments may generally relate to a smart fault detection device for power grids, and a method of fault detection for power grids. A method may include receiving raw data samples of currents in grounding conductors and line conductors. The method may also include processing the raw data samples under at least one of a plurality of system operating modes. The method may also include monitoring normal operation and anticipating an impending fault while operating under at least one of the system operating modes. The method may further include extracting fault information based on the monitoring. The method may also include reporting the fault information to a supervisory control and data acquisition system human-machine interface. The method may further include anticipating faults based on an analysis of the raw data samples.

Abstract: Certain embodiments may generally relate to a smart fault detection device for power grids, and a method of fault detection for power grids. A method may include receiving raw data samples of currents in grounding conductors and line conductors. The method may also include processing the raw data samples under at least one of a plurality of system operating modes. The method may also include monitoring normal operation and anticipating an impending fault while operating under at least one of the system operating modes. The method may further include extracting fault information based on the monitoring. The method may also include reporting the fault information to a supervisory control and data acquisition system human-machine interface. The method may further include anticipating faults based on an analysis of the raw data samples.

Abstract: Certain embodiments may generally relate to a smart fault detection device for power grids, and a method of fault detection for power grids. A method may include receiving raw data samples of currents in grounding conductors and line conductors. The method may also include processing the raw data samples under at least one of a plurality of system operating modes. The method may also include monitoring normal operation and anticipating an impending fault while operating under at least one of the system operating modes. The method may further include extracting fault information based on the monitoring. The method may also include reporting the fault information to a supervisory control and data acquisition system human-machine interface. The method may further include anticipating faults based on an analysis of the raw data samples.

Abstract: The present invention relates to a process for producing a protected lithium anode for a lithium ion battery, wherein the protected lithium anode comprises metallic lithium and at least one alloy, and the present invention also relates to a process for producing an electrochemical cell comprising as one production step said process for producing said protected lithium anode.

Abstract: Methods and systems are provided for detecting faults in a sensor and reconstructing an output signal without use of the faulty sensor. In one embodiment, a method includes: receiving, by a processor, sensor data indicating a measured value from a first sensor; receiving, by a processor, sensor data indicating measured values from a plurality of other sensors; computing, by a processor, virtual values based on a vehicle model and the sensor data from the plurality of other sensors; computing, by a processor, a residual difference between the measured value from the first sensor and the virtual values; detecting, by a processor, whether a fault exists in the first sensor based on the residual difference; and when a fault in the sensor is detected, generating, by a processor, a control value based on the virtual values instead of the measured value.

Abstract: The present invention relates to diene-based hydrogenated polymer latex particles having a particle size measured as d90 value of less than 60 nm and a method for their production and their use. The nanosized hydrogenated diene-based polymers obtained show improved properties, especially with respect to resistance to degradation by heat, oxygen and ozone.

Abstract: The present disclosure relates generally to a mucoadhesive nanoparticle delivery system. The nanoparticles are formed from amphiphilic macromolecules conjugated to a mucosal targeting moiety in such a manner that the surface of the nanoparticle is coated with the targeting moiety. The surface density of the targeting moiety can be tuned for adjustable targeting of the nanoparticles to a mucosal site without substantially compromising the stability of the particles. The particles were found to have high loading efficiency and sustained release properties at the mucosal site. The present disclosure also relates to polymers and macromolecules useful in the preparation of the mucoadhesive nanoparticles, as well as compositions, methods, commercial packages, kits and uses related thereto.

Abstract: Disclosed is a mucoadhesive nanoparticle delivery system for delivering an immunosuppressant, such as cyclosporine A, to a mucosal site for treatment of a disease or condition involving inflammation or excess immune activity. The system comprises nanoparticles formed from a plurality of linear amphiphilic block copolymers, each having a hydrophobic block comprising polylactide (PLA) and a hydrophilic block comprising dextran. The nanoparticles are surface-functionalized with a mucosal targeting moiety, such as a phenylboronic acid derivative, for targeted delivery and enhanced retention at the mucosal site. Pharmaceutical compositions, methods, and uses thereof comprising the mucoadhesive nanoparticle delivery system are disclosed. The compositions can be administered in an effective amount for treating the disease or condition while substantially preserving or restoring the function and/or integrity of the mucosal lining.

Abstract: Methods and systems are provided for detecting faults in a sensor and reconstructing an output signal without use of the faulty sensor. In one embodiment, a method includes: receiving, by a processor, sensor data indicating a measured value from a first sensor; receiving, by a processor, sensor data indicating measured values from a plurality of other sensors; computing, by a processor, virtual values based on a vehicle model and the sensor data from the plurality of other sensors; computing, by a processor, a residual difference between the measured value from the first sensor and the virtual values; detecting, by a processor, whether a fault exists in the first sensor based on the residual difference; and when a fault in the sensor is detected, generating, by a processor, a control value based on the virtual values instead of the measured value.