Abstract: A system for controlling or optimizing the performance of a vapor compression system by modifying the actuator commands via an output interface, that realizes thermofluid property functions and their derivatives as spline functions which are represented in a coordinate system that is aligned with a fluid saturation curve. The system includes an interface configured to receive measurement data from sensors, a memory configured to store thermofluid property data and computer-executable programs including a B-spline method, and a processor for performing the computer-implemented method. The processor is configured to take as input two thermofluid property variables, and compute a coordinate transformation in which one axis of the coordinates is aligned with the liquid and vapor saturation curves. In the saturation-curve aligned coordinates, a spline function represents the thermofluid property function, with coefficients and knots stored in memory.

Abstract: A controller for controlling a system is provided.

Abstract: A tracking system for tracking an expanded state of an object is provided. The tracking system comprises at least one processor and a memory having instructions stored thereon that, when executed by the at least one processor, cause the tracking system to execute a probabilistic filter that iteratively tracks a belief on the expanded state of the object, wherein the belief is predicted using a motion model of the object and is further updated using a compound measurement model of the object. The compound measurement model includes multiple probabilistic distributions constrained to lie on a contour of the object with a predetermined relative geometrical mapping to the center of the object. Further, the tracking system tracks the expanded state of the object based on the updated belief on the expanded state.

Abstract: A node device for forming a multi-hop network is provided. The node device is configured to avoid interference from coexisting interfering networks and includes a transceiver configured to receive and transmit data with respect to a Destination Oriented Directed Acyclic Graph (DODAG) Information Object message (DIO message), a memory configured to store computer executable programs including an interfered-node count (IC), single-rate link count (SLC), multi-rate link count (MLC), hop count (HP), path communication latency (PCL) and an interference efficient and multi-rate supported routing program CoM-RPL, and a processor configured to perform steps of the computer executable programs. The steps include determining if the received DIO message indicates a new DODAG or an existing DODAG.

Abstract: A computer-implemented method is provided. The computer-implemented includes a data-driven model and a robust closure model stored in a memory by using a processor for controlling a system. The computer-implemented method includes steps of acquiring sensor signals from at least one sensor of the system via an interface, computing a state of the system based on the sensor signals, determining a gain of the robust closure model based on the state of the system, reproducing a state of the system based on the determined gain, estimating a physics-based model of the system by combining the data-driven model and the robust closure model, and generating control commands by mapping the state of the system using the estimated physics-based model.

Abstract: A motor comprising a shaft, an array of stator assemblies rigidly attached to the shaft, each stator assembly includes a stator yoke having a toroid shape fixed around the shaft and having a number of slots at radial and axis directional faces with windings within the slots of the stator yoke, and a rotor assembly rotatively attached to the shaft to enclose the array of stator assemblies, the rotor assembly has a rotor drum with sections, each section embraces one stator assembly, each section has two axial-flux permanent magnet arrays attached on axial-directional inner surfaces of the section and has one radial-flux permanent magnet array attached on a radial-directional inner surface of the section furthest from the shaft, wherein the axial-flux and the radial-flux permanent magnet arrays with the number of pole pairs equals the number of the stator slots plus or minus the number of stator winding pole pair.

Abstract: An imaging system to reconstruct a reflectivity image of a scene including an object moving with the scene. A tracking system to track a deforming object to estimate an object deformation for each time step. Sensors acquire snapshots of the scene, each acquired snapshot of the object includes measurements in the object deformation for that time step, to produce a set of object measurements with deformed shapes over the time steps. Compute a correction to estimates of object deformation for each time step, with matching measurements of the corrected object deformation for each time step to measurements in the acquired snapshot of object for that time step. Select a corrected deformation over other corrected deformations for each time step, according to a distance between the corrected deformation and the estimate of the deformation, to obtain a final estimate of the deformation of the deformable object moving in the scene.

Abstract: An apparatus for controlling a system includes a memory to store a model of the system including a motion model of the system subject to process noise and a measurement model of the system subject to measurement noise, such that one or combination of the process noise and the measurement noise forms an uncertainty of the model of the system with unknown probabilistic parameters, wherein the uncertainty of the model of the system causes a state uncertainty of the system with unknown probabilistic parameters. The apparatus also includes a sensor to measure a signal to produce a sequence of measurements indicative of a state of the system, a processor to estimate a Gaussian distribution representing the state uncertainty, and a controller to determine a control input to the system using the model of the system with state uncertainty represented by the Gaussian distribution and control the system according to the control input.

Abstract: A photonic device for splitting optical beams includes an input port configured to receive an input beam having an input power, a power splitter including perturbation segments arranged in a first region and a second region of a guide material having a first refractive index, each segment having a second refractive index, wherein the first region is configured to split the input beam into a first beam and a second beam, wherein and the second region is configured to separately guide the first and second beams, wherein the first refractive index is greater than the second refractive index, and output ports including first and second output ports connected the power splitter to respectively receive and transmit the first and second beams.

Abstract: Systems, methods and apparatus for image processing for reconstructing a super resolution image from multispectral (MS) images. Receive image data and initialize a fused image using a panchromatic (PAN) image, and estimate a blur kernel between the PAN image and the MS images as an initialization function. Iteratively, fuse a MS image with an associated PAN image of a scene using a fusing algorithm. Each iteration includes: update the blur kernel based on a Second-Order Total Generalized Variation function to regularize a kernel shape; fuse the PAN image and MS images with the updated blur kernel based on a local Laplacian prior function to regularize the high-resolution information to obtain an estimated fused image; compute a relative error between the estimated fused image of the current iteration and a previous estimated fused image from a previous iteration, to a predetermined threshold, to stop iterations stop, to obtain a PAN-sharpened image.

Abstract: An axial-flux and radial-flux motor including a rotor mounted rotatably about a machine axis, with the rotor rotatively attached to a shaft. A stator assembly having a core with a non-ferromagnetic material and including a first axial-flux stator yoke with an inner wall rigidly attached on an outer surface of a first edge wall of the core. A second axial-flux stator yoke having an inner wall rigidly attached on an outer surface of a second edge wall of the core. The first and the second axial-flux stator yokes each include an outer wall with slots. A radial-flux stator yoke with slots includes an inner wall rigidly attached on a continuous outer wall of the core. The radial-flux stator yoke and the first and the second axial-flux stator yokes include laminated sheets. Windings positioned in the slots of the first and the second axial-flux stator yokes and the radial-flux stator yoke.

Abstract: A method and a system for fault detection and removal in a distributed computing system, implemented as a permissioned blockchain network, is disclosed. The method fault detection comprising compiling and executing a smart contract common for all nodes of the permissioned blockchain network. The smart contract is configured to perform at least one operation from a series of operations comprising: (1) appending transactions including logs indicative of exchanging of messages between the nodes of permissioned blockchain network, (2) detecting malicious behavior of a node in reaching a consensus, and (3) revoking the access of the node upon detecting the malicious behavior. Further, once malicious behavior (and corresponding malicious node) is detected, a consensus is reached between the networked computers of the permissioned blockchain network, by executing a distributed computing program.

Abstract: A system and a method for calibrating a model of thermal dynamics of thermal state in an environment of a building conditioned by an operation of a heating, ventilating, and air-conditioning (HVAC) system is provided. The method includes receiving values of the control inputs to the actuators of the HVAC system and values of the thermal state at locations of the environment caused by the operation of the HVAC system according to the values of the control inputs, and computing a probabilistic surrogate model iteratively, using a Bayesian optimization, until a termination condition is met. The method further comprises outputting, when the termination condition is met, an optimal combination of the different parameters of the model of thermal dynamics having the largest likelihood of being a global minimum at the probabilistic surrogate model according to an acquisition function of the first two order moments of the calibration errors.

Abstract: A system for a region including a processor to receive data including weather and component data. Generate a dataset for the region to identify weather events and a plurality of model forcings converted into tabular form. A machine learning (ML) model for each model forcing for each component uses dataset. Iteratively, for each weather event: identify for each component a corresponding model forcing with weather variables. Generate an output value for ML model corresponding to the identified components to the set of weather variables and update ML model. Receive observed data over time periods of an impending weather (IW) event. Iteratively, for each time period: identify, for each component a corresponding model forcing with weather variables and update ML model. Generate for the updated ML model, an output value predicting a component status as a failed or not failed for the time period.

Abstract: The audio processing system includes a memory to store a neural network trained to process an audio mixture to output estimation of at least a subset of a set of audio sources present in the audio mixture. The audio sources are subject to hierarchical constraints enforcing a parent-children hierarchy on the set of audio sources, such that a parent audio source in includes a mixture of its one or multiple children audio sources. The subset includes a parent audio source and at least one of its children audio sources. The system further comprises a processor to process a received input audio mixture using the neural network to estimate the subset of audio sources and their mutual relationships according to the parent-children hierarchy. The system further includes an output interface configured to render the extracted audio sources and their mutual relationships.

Abstract: A tactile sensor including a cap having a top surface and an undersurface. The undersurface includes pins, each pin has a mark. A portion of the undersurface is attachable to a device. A camera positioned in view of the marks, captures images of the marks placed in motion by elastic deformation of the top surface of the cap. A processor receives the captured images and determines a set of relative positions of the marks in the captured images, by identifying measured image coordinates of locations in images of the captured images. Determine a net force tensor acting on the top surface using a stored machine vision algorithm, by matching the set of relative positions of the marks to a stored set of previously learned relative positions of the marks placed in motion. Control the device via a controller in response to the net force tensor determined in the processor.

Abstract: A system for detecting an anomaly in an execution of a task in mixed human-robot processes. Receiving human worker (HW) signals and robot signals. A processor to extract from the HW signals, task information, measurements relating to a state of the HW, and input into a Human Performance (HP) model, to obtain a state of the HW based on previously learned boundaries of the state of the HW, the state of the HW is then inputted into a Human-Robot Interaction (HRI) model, to determine a classification of an anomaly or no anomaly. Update HRI model with robot operation signals, HW signals and classified anomaly, determine a control action of a robot interacting with the HW or a type of an anomaly alarm using the updated HRI model and classified anomaly. Output the control action of the robot to change a robot action or output the type of the anomaly alarm.

Abstract: A system for tracking a state of a GNSS receiver uses a subset of the measurements of satellite signals selected to minimize a loss of information with respect to the set of measurements available to the GNSS receiver. The system uses a probabilistic state estimator that tracks the state of the GNSS receiver using a probabilistic motion model subject to noise and a probabilistic measurement model relating the selected subset of the measurements of satellite signals to the current state of the receiver.

Abstract: A probabilistic system for tracking a state of a vehicle using unsynchronized cooperation of information includes a probabilistic multi-head measurement model relating incoming measurements with the state of the vehicle. The first head of the model relates measurements of the satellite signals subject to measurement noise with a belief on the state of the vehicle, and a second head relates an estimation of the state of the vehicle subject to estimation noise with the belief on the state of the vehicle. A probabilistic filter of the system updates recursively the belief on the state of the vehicle based on the multi-head measurement model accepting one or a combination of the measurements of the satellite signals subject to the measurement noise and the estimation of the state of the vehicle subject to the estimation noise.

Abstract: A multi-input call panel for controlling an operation of an elevator system, is disclosed. The multi-input call panel includes a touchable interface associated with a plurality of touchable inputs arranged at different locations on the multi-input call panel; a touchless interface including a processor configured to receive readings of a sensor detecting motion in proximity to the touchable interface and executing a probabilistic classifier trained to output a probability of correspondence of the received readings with an intention to touch one or multiple touchable inputs from the plurality of touchable inputs; and a controller configured to control the operation of the elevator system according to a control command associated with a touchable input of the plurality of touchable inputs when the touchable input is touched on the touchable interface, the classifier outputs the probability of the intention to touch the touchable input above a threshold or both.