60results about How to "Minimizing variance" patented technology

Motional training is achieved by providing a subject with vibrotactile feedback in response to an attempt by the subject to perform predetermined motions. In particular, an attempt by the subject to perform at least one predetermined motion is monitored using sensors, such as force plates or inertial sensors. The sensor signals indicate results of the attempt by the subject to perform the at least one predetermined motion, and a variance between the at least one predetermined motion and the results of the attempt by the subject to perform the at least one predetermined motion is determined. Vibrotactile signals are then sent to the subject by activating one or more actuators coupled to the subject, where the one or more actuators are spatially oriented with respect to the subject to indicate one or more directions. The vibrotactile signals indicate the variance with respect to the one or more directions.

The example systems, methods, and / or computer-readable media described herein help with design of highly accurate models of un-erupted or partially erupted teeth and help fabricate of aligners for un-erupted or partially erupted teeth. Automated agents that use machine learning models to parametrically represent three-dimensional (3d) virtual representations of teeth as 3D descriptors in a 3D descriptor space are provided herein. In some implementations, the automated agents described herein provide instructions to fabricate aligners for at least partially un-erupted teeth using representative 3D descriptor(s) of a tooth type.

Steering behavior model can include build rate and / or turn rate equations to modal bottom-hole assembly behavior. Build and / or turn rate equations can be calibrated by adjusting model parameters thereof to minimize any variance between actual response 118 and estimated response produced for an interval of the well. Estimated position and orientation 104 of a bottom-hole assembly along a subsequent interval can be generated by inputting subsequent tool settings into the calibrated steering behavior model. Estimated position and orientation 104 can be compared to a well plan 106 with a controller 108 which determines a corrective action 110. Corrective action 110 can be converted from a build and / or turn rate to a set of recommended tool settings 114 by using an inverse application 112 of the steering behavior model. As additional data 118 becomes available, steering behavior model can be further calibrated 102 through iteration.

A gate drive apparatus including a constant-current-pulse gate drive circuit which creates a gate signal for a switching device as a constant-current output, a constant-voltage-pulse gate drive circuit which creates the gate signal as a constant-voltage output, and a decision / switch circuit which switches the operation of the constant-current-pulse gate drive circuit and the operation of the constant-voltage-pulse gate drive circuit. The variance of switching speeds attributed to the variances of threshold voltages and mirror voltages in a plurality of switching devices which are driven by the gate drive apparatus can be suppressed, and the variance of losses can be minimized.

A power supply having an input, wherein the power supply includes a multi-winding transformer having an input and a plurality of outputs, and a plurality of rectifiers to provide a plurality of DC output voltages, wherein each rectifier is coupled to an output of the multi-winding transformer. The power supply further includes a regulator circuit coupled between the transformer input and one of the transformer outputs, and configured to regulate an input voltage to the multi-winding transformer to minimize a variance of each rectifier DC output voltage.

A system and process for the geo-location of an asset given no a priori knowledge regarding time and location of the asset with minimized power consumption is disclosed. In the preferred embodiment, the system is accurate to about 30 meters CEP (50% circular error probable) using just a short segment, e.g., 100-200 ms, of digitized GPS L1 signal data.

Unpredictable response variations of the output value signals from radiometer or receiver channels due to noise are minimized when composing a millimeter wave image. The image is composed from composition signals which are each related to the corresponding output value signals from the channels. Some composition signals are weighted by a weighting factor which is different from a weighting factor used for weighting other composition signals. Preferably, the reciprocal of the standard deviation of variations of the output value signals from each channel is used as the weighting factor for deriving the composition signals from the output value signals from that channel. The intensity of each pixel of the image is composed by adding the weighted composition signals associated with that pixel.

A roller blind system for a sliding roof includes a guide rail and a spring steel band that is guided in the guide rail in sections. The spring steel band has an end that is situated outside the guide rail, and which contracts to a coil. A roller blind is attached to the spring steel band, and a compensation spring is provided.

A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

A method of manufacturing, e.g., integrated circuits, and of managing a manufacturing process. Product unit (circuit) variation data is collected from clustered product units (wafer sites). Collected data is grouped according to a selected manufacturing parameter. Each group is normalized for the selected manufacturing parameter. Normalized groups are combined. Normalized process data is checked for variances and the data is regrouped and renormalized until variances are no longer found. Each identified variance is correlated with a likely source. Then, each said likely source is addressed, e.g., a tool is adjusted or replaced, to minimize variances.

In one embodiment, a data storage system includes a tape channel for reading data from a magnetic tape medium to produce a signal, a noise whitening filter positioned subsequent to the tape channel adapted for receiving the signal, wherein the noise whitening filter is adapted for minimizing variance of its output signal, a soft detector adapted for receiving output from the noise whitening filter, the soft detector adapted for calculating first soft information about each bit of the signal and sending the first soft information to a soft decoder, and the soft decoder positioned subsequent to the soft detector, the soft decoder being adapted for calculating second soft information about each bit of the signal and sending the second soft information to the soft detector. Other systems, methods, and computer program products are described according to more embodiments.

In one embodiment, a data storage system includes a tape channel for reading data from a tape to produce a signal, an adaptive noise whitening filter adapted for receiving the signal, the noise whitening filter being adapted for minimizing variance of noise affecting the signal output from the noise whitening filter, a soft DMAX detector adapted for receiving the signal from the noise whitening filter, the soft detector adapted for calculating first soft information about each bit of the signal and sending the first soft information to a soft decoder, and the soft decoder positioned subsequent to the soft detector, the soft decoder being adapted for calculating second soft information about each bit of the signal and sending the second soft information to the soft DMAX detector, wherein one or more noise whitening coefficients used in the noise whitening filter are updated using a noise whitening filter coefficient updater.

Disclosed is a method capable of adaptively aligning windows to extract features according to the types and characteristics of voice signals. To this end, window lengths based on the widow update points in a corresponding order are determined by employing the concept of a higher order peak, and windows are aligned according to window lengths. When the windows are aligned according to such a manner, the start and end points of each window is known, so that it becomes possible to easily extract and analyze peak feature information.

Optical distortion calibration for an Electro-Optical sensor in a chamber eliminates calibration of the mirror controller and allows for calibration while the target is in motion across the FOV thus providing a more efficient and accurate calibration. A target pattern is projected through sensor optics with line of sight motion across the sensor FOV to generate a sequence of frames. Knowing that the true distances between the same targets remain constant with line of sight motion across the sensor's FOV, coefficients of a function F representative of the non-linear distortion in the sensor optics are fit from observed target positions in a subset of frames to true line of sight so that distances between targets are preserved as the pattern moves across the FOV. The coefficients are stored as calibration terms with the sensor.