Abstract: A heavy-duty active suspension, including a suspension frame, a lifting unit, a pin axle, a through axle, two wheel-driving units, an encoder, and a displacement sensor. The lifting unit is mounted on an upper side of the suspension frame for driving a heavy-duty support platform to rise and descend. The pin axle is mounted across the suspension frame along a front-rear direction. The through axle is rotatably mounted on the pin axle through a bearing, and is across the suspension frame along a left-right direction. The two wheel-driving units are respectively mounted on both ends of the through axle. The encoder is installed on the through axle for measuring a swing angle of the through axle. The displacement sensor is installed between an output end of the lifting unit and the suspension frame. A suspension vehicle including the active suspension and a leveling control method thereof are further provided.

Abstract: Disclosed in the present invention is a generative event extraction method based on ontology guidance, including: (1) constructing an event ontology knowledge base; (2) designing an event trigger word extraction template and an event argument extraction template; mapping an input event text to a first input sequence, and mapping an input event text integrating an event ontology to a second input sequence; (3) designing a class label mapping function that maps multi-word labels to event types and/or role types; (4) extracting the event ontology corresponding to the input event from the event ontology knowledge base, and constructing the first input sequence and the second input sequence according to the event trigger word extraction template and the event argument extraction template; and (5) predicting, by the event extraction model, the event type and the role type according to the class label mapping function and a processing mechanism thereof, and outputting an event trigger word span and an event argument

Abstract: Examples described herein relate to a system that after decoding of video by the first device, provides a memory address of decoded video in the memory device to a second driver for a second device and perform a second device driver that causes the second device to access the decoded video directly from a translation of the memory address of the memory device, wherein the second device is to access the decoded video with memory properties of the decoded video and decompression information of the decoded video. In some examples, the first device comprises one or more of: a graphics processing unit integrated with a central processing unit (CPU), a discrete graphics processing unit, or a video decoder accelerator. In some examples, the second device comprises one or more of: a graphics processing unit integrated with a central processing unit (CPU) or a discrete graphics processing unit. In some examples, the memory properties of the decoded video comprise swizzle information.