Abstract: An aspect of the present invention relates to a mold insert for use in a mold for the manufacture of a cushioning element for sports apparel. Further aspects of the present invention relate to a mold using such a mold insert, a method for the manufacture of a cushioning element for sports apparel using such a mold, and a cushioning element manufactured by such a method.

Abstract: A method for operating a materials handling vehicle is provided comprising: monitoring, by a controller, a first vehicle drive parameter corresponding to a first direction of travel of the vehicle during a first manual operation of the vehicle by an operator and concurrently monitoring, by the controller, a second vehicle drive parameter corresponding to a second direction different from the first direction of travel during the first manual operation of the vehicle by an operator. The controller receives, after the first manual operation of the vehicle, a request to implement a first semi-automated driving operation. Based on the first and second monitored vehicle drive parameters during the first manual operation, the controller controls implementation of the first semi-automated driving operation.

Abstract: A method for operating a materials handling vehicle is provided and comprises: monitoring, by a controller, a first vehicle drive parameter during a manual operation of the vehicle by an operator; storing, by the controller, data related to the monitored first vehicle drive parameter. The controller is configured to use the stored data for implementing a semi-automated driving operation of the vehicle subsequent to the manual operation of the vehicle. The method further comprises: detecting, by the controller, operation of the vehicle indicative of a start of a pick operation occurring during the manual operation of the vehicle; and based on detecting the start of the pick operation, resetting, by the controller, the stored data related to the monitored first vehicle drive parameter.

Abstract: A materials handling vehicle includes a power unit, a load handling assembly and a positioning assistance system that provides assistance to an operator that is driving the vehicle. The assistance provided by the positioning assistance system includes at least one of an audible, tactile, or visual cue to indicate at least one of: a distance from the vehicle to a boundary object; or a heading of the vehicle with respect to the boundary object.

Abstract: In one embodiment, a method of drilling a feature in a substrate includes directing a pulsed laser beam focal line into the substrate at a plurality of locations, the laser beam focal line generating an induced absorption within the substrate such that the laser beam focal line produces a perforation extending through a thickness of the substrate at the plurality of locations to form a perforation contour. The method further includes directing a focused ablation laser beam into the substrate and ablating at least a portion of the substrate along an ablation track that is offset from the perforation contour by a perforation-ablation offset ?nP-Ablation to remove substrate material within a shape defined by the perforation contour to form the feature. The perforation-ablation offset ?nP-Ablation is such that the feature has a chipping with chips having a size of less than 50 ?m.

Abstract: A system, method and computer product for training a neural network system. The method comprises applying an audio signal to the neural network system, the audio signal including a vocal component and a non-vocal component. The method also comprises comparing an output of the neural network system to a target signal, and adjusting at least one parameter of the neural network system to reduce a result of the comparing, for training the neural network system to estimate one of the vocal component and the non-vocal component. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate vocal or instrumental components of an audio signal, depending on which type of component the system is trained to estimate.

Abstract: A materials handling vehicle includes: a power unit including: a steered wheel, and a steering device for generating a steer control signal; a load handling assembly coupled to the power unit; a controller located on the power unit for receiving the steer control signal; and a sensing device on the power unit and coupled to the controller. The sensing device monitors areas in front of and next to the vehicle. Based on sensing device data, the controller may modify at least one of the following vehicle parameters: a maximum allowable turning angle or a steered-wheel-to-steering-device ratio.

Abstract: Operating a materials handling vehicle includes monitoring, by a controller, a first vehicle drive parameter during a first manual operation of the vehicle by an operator; monitoring, by the controller, the first vehicle drive parameter during a second manual operation of the vehicle by the operator; receiving, by the controller after the first manual operation of the vehicle and the second manual operation of the vehicle, a request to implement a semi-automated driving operation; calculating, by the controller, a first weighted average based on the monitored first vehicle drive parameter during the first manual operation of the vehicle and the monitored first vehicle parameter during the second manual operation of the vehicle; and based at least in part on the calculated first weighted average, controlling, by the controller, implementation of the semi-automated driving operation.

Abstract: A materials handling vehicle includes: a power unit including: a steered wheel, and a steering device for generating a steer control signal; a load handling assembly coupled to the power unit; a controller located on the power unit for receiving the steer control signal; and a sensing device on the power unit and coupled to the controller. The sensing device monitoring areas in front of and next to the vehicle. Based on sensing device data, the controller may modify at least one of the following vehicle parameters: a maximum allowable turning angle or a steered-wheel-to-steering-device ratio.

Abstract: A process for automating control of an industrial vehicle based on location comprises scanning an environment, by using an optical scanner affixed to the industrial vehicle. A marker defined by a series of tags is identified by recursively receiving a reflection of the optical scanner; determining if the reflection is indicative of an optical tag; and concatenating the indication of an optical tag to the marker. Once the marker is identified, the marker is transformed into an environmental condition and a status of the vehicle is determined, where the status correlates to the environmental condition. Further, an automated control is applied on the industrial vehicle based on the environmental condition and the status of the industrial vehicle.

Abstract: A materials handling vehicle includes: a power unit including: a steered wheel, and a steering device for generating a steer control signal; a load handling assembly coupled to the power unit; a controller located on the power unit for receiving the steer control signal; and a sensing device on the power unit and coupled to the controller. The sensing device monitoring areas in front of and next to the vehicle. Based on sensing device data, the controller may modify at least one of the following vehicle parameters: a maximum allowable turning angle or a steered-wheel-to-steering-device ratio.

Abstract: A process for automating control of an industrial vehicle based on location comprises scanning an environment in a travel direction of the industrial vehicle, by using an optical scanner affixed to the industrial vehicle. A marker defined by a series of tags is identified by recursively receiving a reflection of the optical scanner; determining if the reflection is indicative of an optical tag; and concatenating the indication of an optical tag to the marker. Once the marker is identified, the marker is transformed into an environmental condition and a status of the vehicle is determined, where the status correlates to the environmental condition. Further, an automated control is applied on the industrial vehicle based on the environmental condition and the status of the industrial vehicle.

Abstract: A system, method and computer product for training a neural network system. The method comprises inputting an audio signal to the system to generate plural outputs f(X, ?). The audio signal includes one or more of vocal content and/or musical instrument content, and each output f(X, ?) corresponds to a respective one of the different content types. The method also comprises comparing individual outputs f(X, ?) of the neural network system to corresponding target signals. For each compared output f(X, ?), at least one parameter of the system is adjusted to reduce a result of the comparing performed for the output f(X, ?), to train the system to estimate the different content types. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate various different types of vocal and/or instrument components of an audio signal, depending on which type of component(s) the system is trained to estimate.

Abstract: A method of separating a transparent mother sheet includes contacting a first surface of the transparent mother sheet with an open ended pressure assembly including a pressure vessel shell, thereby forming a shell cavity defined by the first surface of the transparent mother sheet and the pressure vessel shell, where the transparent mother sheet comprises a damage path. The method also includes removing gas from the shell cavity through a fluid removal outlet extending through the pressure vessel shell to reduce a cavity pressure in the shell cavity, thereby applying stress to the damage path to separate a portion of the transparent mother sheet along the damage path.

Abstract: A system, method and computer product for training a neural network system. The method comprises inputting an audio signal to the system to generate plural outputs f(X, ?). The audio signal includes one or more of vocal content and/or musical instrument content, and each output f(X, ?) corresponds to a respective one of the different content types. The method also comprises comparing individual outputs f(X, ?) of the neural network system to corresponding target signals. For each compared output f(X, ?), at least one parameter of the system is adjusted to reduce a result of the comparing performed for the output f(X, ?), to train the system to estimate the different content types. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate various different types of vocal and/or instrument components of an audio signal, depending on which type of component(s) the system is trained to estimate.

Abstract: A control system for an industrial vehicle includes a badge communicator and an information linking device. The badge communicator has a transceiver for short range communication with electronic badges that are within a fixed short range of the badge communicator, defining a first zone. The information linking device is programmed to execute program code. The program code extracts a current state of an operating parameter read from an industrial vehicle network bus, generates a second zone within the first zone that is defined based upon the extracted industrial vehicle operating parameter, detects a presence of an electronic badge within the first zone, determines whether the electronic badge is within the second zone, performs a first action if the detected electronic badge is not within the second zone, and performs a second action if the electronic badge is within the second zone.

Abstract: A method of forming a plurality of defects within a substrate with a laser beam focal line using a laser beam, each defect of the plurality of defects being a damage track within the substrate with a diameter of about 10 microns or less, the plurality of defects forming a contour line on the substrate. The substrate having a first surface and a second surface that is opposite from the first surface. The method further includes exerting (i) a first force on the first surface of the substrate at a location that is adjacent to the contour line and (ii) a second force on the second surface of the substrate at a location that is on the contour line. Additionally, the method includes breaking the substrate along the contour line and into a first substrate portion and a second substrate portion.

Abstract: Embodiments of the present disclosure include a optical assembly comprising: an axicon lens with spherical aberration configured to generate the laser beam focal line, an optical element set spaced part from the optical lens, and a focusing optical element spaced apart from the optical element set, wherein the axicon lens and the optical element set are translatable relative to each other along the laser beam propagation direction and wherein the focusing optical element is in a fixed position along the laser beam propagation direction.

Abstract: A method is provided for operating a materials handling vehicle comprising: monitoring, by a processor, vehicle acceleration in a direction of travel of the vehicle during a manual operation by an operator of the vehicle when the vehicle is traveling in a first vehicle orientation; collecting and storing, by the processor, data related to the monitored vehicle acceleration; receiving, by the processor, a request to implement a semi-automated driving operation; calculating, by the processor, a maximum vehicle acceleration based on acceleration data comprising the stored data, wherein the data related to the monitored vehicle acceleration used in calculating the maximum vehicle acceleration comprises only the vehicle acceleration data in the direction of travel of the vehicle collected when the vehicle is traveling in the first vehicle orientation. Based at least in part on the maximum vehicle acceleration, controlling, by the processor, implementation of the semi-automated driving operation.

Abstract: A control system for an industrial vehicle includes a badge communicator and an information linking device. The badge communicator has a transceiver for short range communication with electronic badges that are within in a fixed short range of the badge communicator, defining a first zone. The information linking device is programmed to execute program code. The program code extracts a current state of an operating parameter read from an industrial vehicle network bus, generates a second zone within the first zone that is defined based upon the extracted industrial vehicle operating parameter, detects a presence of an electronic badge within the first zone, determines whether the electronic badge is within the second zone, performs a first action if the detected electronic badge is not within the second zone, and performs a second action if the electronic badge is within the second zone.