Abstract: Systems and methods include a reduced computation, computer-based management of point-of-care (POC) on-site ultrasound (ULS) imaging resources. At a digital computation resource of a POC site, a ULS tissue reflection sample data is received from a hand-held ULS scanning device. A digital computation resource of the POC site, applies a reduced computation tissue ULS reflection speckle noise (SN) physics model—blurring noise (BN) physics model based deep learning (DL) trained convolutional neural network (CNN) denoising process to the ULS tissue reflection sample data outputting an estimated denoised ULS tissue reflection image data. A visual rendering of the estimated denoised ULS tissue reflection image data is displayed on a display resource of the POC site.

Abstract: A filter bank multi-carrier (FBMC)-offset quadrature amplitude modulation (OQAM) system is disclosed. The FBMC-OQAM system includes a processing circuitry which is configured to receive a signal over a transmission medium, equalize the signal by a convolution neural network (CNN) equalizer, wherein the CNN equalizer is configured to estimate the received signal without performing channel estimation, and output the estimated signal as a bit stream.

Abstract: A method and system for set point control of a liquid level in a conical tank is disclosed. The method includes receiving set point signal, R(s), summing the set point signal, R(s), with a negative feedback signal, d{tilde over (f)}(s), and generating set point error signal, E(s), which is used as feedback at the input to drive the liquid level in the conical tank to a desired set point, thus controlling the liquid level of conical tank so that external disturbance, df(s), is minimized.

Abstract: A mechanical lock box comprising a housing including a lid and a hook fastener attached to the lid and a 3D multi-level printed maze. A release chamber is located within the maze and a ball is enclosed in the maze. The mechanical lock box further includes a hook bar having a first hook bar end which pivotally connects to a pivot box in the maze and a second hook bar end having a lock hook configured to engage with the hook fastener to hold the lid in a locked position. A hook pusher is configured to pivot the hook bar to unlock the lid when the ball pushes against the hook pusher.

Abstract: A method and system for set point tracking control of an nth order integer control system. A first feedback compensated input signal is generated from an input signal, r(t), and a first negative feedback signal. A fractional order controller generates a set point modified signal from the first feedback compensated input signal. A second feedback compensated input signal is generated from the set point modified signal and a second negative feedback signal. A process variable is generated from the second feedback compensated input signal and applied to a non-linear plant which is affected by a disturbance which carries over into an output signal, y(t). An extended state observer receives the process variable and the output signal and generates the first second negative feedback and the second negative feedback signal to cancel the disturbance.

Abstract: A method, system, and apparatus for a linear active disturbance rejection control with a fractional order integral (FOI-LADRC) action for set-point tracking of a process variable is disclosed. The FOI-LADRC method includes receiving and multiplying a reference signal by a first feedback signal, applying, by a set-point tracking controller, fractional order integration to the reference signal, amplifying and multiplying the reference signal by a series of second feedback signals and a third feedback signal, dividing the reference signal by a static gain, and generating a process control variable, inputting the process control variable and applying a disturbance to the plant to output an output signal, feeding back the output signal, as the first feedback signal, generating the series of second feedback signals and a third feedback signal by an extended state observer, ESO, and tuning the set-point tracking controller and the ESO to eliminate the disturbance, from the output signal.

Abstract: A method and a system of distributed estimation using q-diffusion least mean squares (qDiff-LMS) to modify adaptive filter weights in a decentralized wireless sensor network of N nodes is described. The method includes receiving, at each node, k, a local estimate of a previous time instance weight, wk(i?1), of an adaptive filter of each neighboring node, l, where l=1, 2, . . . , M, combining the local estimates of the previous time instance weights to generate a linear combination of global diffused weights, Øk(i?1), measuring, for each node k, an output, yk(i), of the adaptive filter of the node k, calculating, for each node k, a desired response, dk(i); generating, for each node k, an estimation error, ekCTA(i) by subtracting the output, yk(i) from the desired response, dk(i), and updating the global diffused weights by adding a portion of the estimated error to the global diffused weights.

Abstract: A fractional order Linear Active Disturbance Rejection Control (FOLADRC) system and a method thereof is disclosed. The FOLADRC system includes a fractional order state extended observer (FESO) controller circuit having a FESO controller. The FESO controller receives a process variable and plant output signal, estimates an input disturbance and an output disturbance and outputs disturbance cancelling feedback signals. The disturbance cancelling feedback signals are transmitted to multipliers present in a forward path of the FESO controller circuit. Further, the FESO controller has an observer gain vector and a cross over frequency bandwidth. The FESO controller incrementally changes the observer gain vector and the FESO controller bandwidth until a closed loop transfer function of the FESO controller converges, thus exhibiting an iso-damping property.

Abstract: An educational tool for testing and demonstrating center of gravity based control. The educational tool includes a swing, a rod assembly operatively connected to the swing, a motor operatively connected to the rod assembly, at least one encoder for generating position signals, an interface box operatively connected to the motor and the encoder, and a computing device operatively connected to the interface box. The computing device receives the position signals from the interface box, analyze the position signals to determine a center of gravity of the swing and the rod assembly, and generate motor control signals to adjust the swing and the rod assembly to a stable pose. The interface box transmits the motor control signals to the motor and transmits the position signals from the encoder to the computing device.