Abstract: An exercise device includes a lift assist mechanism to reduce a weight of the console assembly. The console assembly includes a display and handlebars, which increases the weight of the console assembly. The lift assist mechanism reduces the force used to adjust the vertical position of the lift assist assembly, thereby improving the ease of use of the exercise device.

Abstract: Systems and methods to detect when the external magnetic field becomes higher than the saturation field of AMR material are described. Approaches include saturation detection by combining sensors with different full-scale ranges, saturation detection using DC current and saturation detection by arranging sensitive axes at 45° offsets.

Abstract: Printed circuit boards including voltage switchable dielectric materials (VSDM) are disclosed. The VSDMs are used to protect electronic components, arranged on or embedded in printed circuit boards, against electric discharges, such as electrostatic discharges or electric overstresses. During an overvoltage event, a VSDM layer shunts excess currents to ground, thereby preventing electronic components from destruction or damage.

Abstract: Various disclosed aspects provide for protecting components (e.g., integrated circuits) from spurious electrical overvoltage events, such as electrostatic discharge. Embedded components with voltage switchable dielectric materials may protect circuits against electrostatic discharge.

Abstract: Ferroic circuit elements that include a set of conductive structures that are at least partially embedded within a ferroic medium are disclosed. The ferroic medium may be a voltage switched dielectric material that includes ferroic particles in accordance with various embodiments. A ferroic circuit element may be at least partially embedded within a substrate in accordance with embodiments of the current invention as an embedded ferroic circuit element. An embedded ferroic circuit element that is an inductor in accordance with embodiments of the current invention may be denoted as an embedded ferroic inductor. An embedded ferroic circuit element that is a capacitor in accordance with embodiments of the current invention may be denoted as an embedded ferroic capacitor.

Abstract: The invention provides a method for automated training of a plurality of artificial neural networks for phoneme recognition using training data, wherein the training data comprises speech signals subdivided into frames, each frame associated with a phoneme label, wherein the phoneme label indicates a phoneme associated with the frame. A sequence of frames from the training data are provided, wherein the number of frames in the sequence of frames is at least equal to the number of artificial neural networks. Each of the artificial neural networks is assigned a different subsequence of the provided sequence, wherein each subsequence comprises a predetermined number of frames. A common phoneme label for the sequence of frames is determined based on the phoneme labels of one or more frames of one or more subsequences of the provided sequence. Each artificial neural network using the common phoneme label.

Abstract: A circuit comprising an array of light emitting diodes (LEDs), and a layer of VSD material positioned to contact an input and an output of each LED in the array of LEDs, so as to protect each LED from both a forward surge and a reverse surge of voltage on the array of LEDs. The layer of VSD material is able to switch into a carrying current state in response to either of the forward or reverse surge exceeding a characteristic voltage level (VCL) of the VSD material.

Abstract: Embodiments described herein provide for programmatic design or simulation of substrates carrying electrical elements to integrate voltage switchable dielectric (“VSD”) material as a protective feature. In particular, VSD material may be incorporated into the design of a substrate device for purpose of providing protection against transient electrical conditions, such as electrostatic discharge (ESD).

Abstract: Ferroic circuit elements that include a set of conductive structures that are at least partially embedded within a ferroic medium are disclosed. The ferroic medium may be a voltage switched dielectric material that includes ferroic particles in accordance with various embodiments. A ferroic circuit element may be at least partially embedded within a substrate in accordance with embodiments of the current invention as an embedded ferroic circuit element. An embedded ferroic circuit element that is an inductor in accordance with embodiments of the current invention may be denoted as an embedded ferroic inductor. An embedded ferroic circuit element that is a capacitor in accordance with embodiments of the current invention may be denoted as an embedded ferroic capacitor.

Abstract: Various disclosed aspects provide for protecting components (e.g., integrated circuits) from spurious electrical overvoltage events, such as electrostatic discharge. Embedded components with voltage switchable dielectric materials may protect circuits against electrostatic discharge.

Abstract: Printed circuit boards including voltage switchable dielectric materials (VSDM) are disclosed. The VSDMs are used to protect electronic components, arranged on or embedded in printed circuit boards, against electric discharges, such as electrostatic discharges or electric overstresses. During an overvoltage event, a VSDM layer shunts excess currents to ground, thereby preventing electronic components from destruction or damage.

Abstract: The invention provides a method for automated training of a plurality of artificial neural networks for phoneme recognition using training data, wherein the training data comprises speech signals subdivided into frames, each frame associated with a phoneme label, wherein the phoneme label indicates a phoneme associated with the frame. A sequence of frames from the training data are provided, wherein the number of frames in the sequence of frames is at least equal to the number of artificial neural networks. Each of the artificial neural networks is assigned a different subsequence of the provided sequence, wherein each subsequence comprises a predetermined number of frames. A common phoneme label for the sequence of frames is determined based on the phoneme labels of one or more frames of one or more subsequences of the provided sequence. Each artificial neural network using the common phoneme label.