Abstract: Provided herein is a system and method to determine a three-dimensional heading of a target. The system includes a radar sensor that obtains a three-dimensional snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a three-dimensional heading of the target based on the spatial positions; conducting a second estimation of the three-dimensional heading of the target based on the Doppler velocities; and obtaining a combined estimation of the three-dimensional heading of the target based on a weighted sum of the first estimation and the second estimation.

Abstract: Provided herein is a system and method to determine a heading of a target. The system includes a radar sensor that obtains a snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a heading of the target based on the spatial positions; conducting a second estimation of the heading of the target based on the Doppler velocities; and obtaining a combined estimation of the heading of the target based on a weighted sum of the first estimation and the second estimation.

Abstract: Provided herein is a system and method to determine a heading of a target. The system includes a radar sensor that obtains a snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a heading of the target based on the spatial positions; conducting a second estimation of the heading of the target based on the Doppler velocities; and obtaining a combined estimation of the heading of the target based on a weighted sum of the first estimation and the second estimation.

Abstract: Provided herein is a system and method to determine a three-dimensional heading of a target. The system includes a radar sensor that obtains a three-dimensional snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a three-dimensional heading of the target based on the spatial positions; conducting a second estimation of the three-dimensional heading of the target based on the Doppler velocities; and obtaining a combined estimation of the three-dimensional heading of the target based on a weighted sum of the first estimation and the second estimation.

Abstract: Provided herein is a system and method to determine a heading of a target. The system includes a radar sensor that obtains a snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a heading of the target based on the spatial positions; conducting a second estimation of the heading of the target based on the Doppler velocities; and obtaining a combined estimation of the heading of the target based on a weighted sum of the first estimation and the second estimation.

Abstract: Provided herein is a system and method to determine a three-dimensional heading of a target. The system includes a radar sensor that obtains a three-dimensional snapshot of radar data comprising Doppler velocities and spatial positions of a plurality of detection points of a target, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform conducting a first estimation of a three-dimensional heading of the target based on the spatial positions; conducting a second estimation of the three-dimensional heading of the target based on the Doppler velocities; and obtaining a combined estimation of the three-dimensional heading of the target based on a weighted sum of the first estimation and the second estimation.

Abstract: Disclosed is a sensor that includes a first textile assembly having a first conductive textile element and a first outer sheath that surrounds the first conductive textile element. The first outer sheath is formed from a first non-conductive material that is configured to transport moisture through the first outer sheath. The sensor includes a second textile assembly having a second conductive textile element and a second outer sheath that surrounds the second conductive textile element. The second outer sheath is formed from a second non-conductive material that is configured to transport moisture through the second outer sheath. The first and second outer sheaths are in contact with each other so as to maintain separation between the first conductive textile element and the second conductive textile element along a length of the sensor.

Abstract: A method for resource allocation in a cloud environment detects a metrics parameter of at least a first virtual machine among a plurality of virtual machines inside a virtual system in the cloud environment; calculates a key performance indicator according to the metrics parameter, the key performance indicator indicating running status of at least the first virtual machine; and reallocates resources among at least the first virtual machine and other virtual machines within the virtual system based on the key performance indicator through the cloud environment in response to the key performance indicator indicating that at least the first virtual machine is overloaded.

Abstract: A resilient power device is adapted to drive a transmission rod of a vehicle, and includes a housing, a rotary shaft adapted to extend and be spaced apart from the transmission rod along a first axis, a power release unit including a first rod and a second rod that extend and are spaced apart from each other along a second axis parallel to the first axis, a power storage clutch adapted to be connected between the transmission rod and the rotary shaft, a power release clutch connected between the first and second rods, a first gear unit mounted to the first rod and the transmission rod, a second gear unit mounted to the rotary shaft and said second rod, and at least one resilient member connected between the housing and the rotary shaft.

Abstract: A resilient power device is adapted to drive a transmission rod of a vehicle, and includes a housing, a rotary shaft adapted to extend and be spaced apart from the transmission rod along a first axis, a power release unit including a first rod and a second rod that extend and are spaced apart from each other along a second axis parallel to the first axis, a power storage clutch adapted to be connected between the transmission rod and the rotary shaft, a power release clutch connected between the first and second rods, a first gear unit mounted to the first rod and the transmission rod, a second gear unit mounted to the rotary shaft and said second rod, and at least one resilient member connected between the housing and the rotary shaft.

Abstract: A method for resource allocation in a cloud environment detects a metrics parameter of at least a first virtual machine among a plurality of virtual machines inside a virtual system in the cloud environment; calculates a key performance indicator according to the metrics parameter, the key performance indicator indicating running status of at least the first virtual machine; and reallocates resources among at least the first virtual machine and other virtual machines within the virtual system based on the key performance indicator through the cloud environment in response to the key performance indicator indicating that at least the first virtual machine is overloaded.

Abstract: The present invention relates to a method for manufacturing a graphene layer, comprising the following steps: providing a substrate; forming a metal layer on a first side of the substrate; forming a carbon source layer on the metal layer; providing a laser, which irradiates a second side of the substrate and passes through the substrate to form a graphene layer on an interface between the substrate and the metal layer; and providing an organic solvent and an acid solution to remove the carbon source layer and the metal layer respectively.

Abstract: An iterative spline interpolation method for a numerically-controlled machine tool device is disclosed. The non-uniform rational B-spline (NURBS) curve inputted to the numerically-controlled machine tool is interpolated with a constant step size providing the ability to maintain a controlled velocity to within a specified tolerance. In addition, the distance left to travel on the curve is obtained by a unique spline node-based approximation method providing accurate acceleration and deceleration control. The rational spline interpolation method provides significant reduction in the amount of data required to produce smoothly machined pieces while providing accurate machining of conic sections not possible by previous spline interpolation methods.