Abstract: A motorcycle has several features beneficial for 60% off-road use, including for people of short stature. The motorcycle frame has sub-frame tubes attached to a main frame at left and right upper sub-frame connection points and left and right lower sub-frame connection points with a sub-frame connection spacing between the connection points. The main frame has a main frame span distance between a head tube axis and the lower sub-frame connection points. A sub-frame connection spacing/main frame span ratio is in the range from 0.16 to 0.24. The upper sub-frame tubes define a riding waist with a ride height over the wheel axis plane. A ride height ratio of the ride height divided by the wheelbase is in the range from 0.26 to 0.4. Left and right inside bottom mounts each include a prime mover assembly mount flange, a rear shock absorber mount flange and a kickstand mount flange.

Abstract: Systems and methods are disclosed for automatically analyzing an application under test (AUT) and, as a result of the analysis, determining a function of the AUT. The function may comprise a permission and/or a framework. An automated test is then selected, from a pool of tests, to test the function of the AUT. The test is then performed on the AUT. Results from the test may be provided back to the analysis process, which may be an artificial intelligence, such as a neural network, as feedback.

Abstract: A hardware resource mapping system and method; the system includes a host with a user space and external devices connected to the host, containing multiple hardware resources divided into M clusters; M is a positive integer; the user space includes n virtual functions and N virtual resources, with a first mapping relationship existing between them, where n and N are positive integers; a second mapping relationship exists between the N virtual resources and the M clusters, ensuring the number of virtual resources mapped to each cluster is greater than or equal to n, and the virtual resources mapped to each cluster correspond to the n virtual functions; for each cluster, a third mapping relationship exists between the virtual resources mapped to the cluster and the hardware resources included in the cluster, ensuring that each virtual resource is mapped to all hardware resources included in the cluster.

Abstract: A method of making a highly humanoid safe driving decision for an automated driving commercial vehicle, includes: collecting synchronously multi-source information on driving behaviors in typical traffic scenarios, constructing an expert trajectory data set representing driving behaviors of excellent drivers; simulating the driving behaviors of excellent drivers by utilizing a generative adversarial imitation learning (GAIL) algorithm, in a comprehensive consideration of influences of factors such as a forward collision, a backward collision, a transverse collision, a vehicle roll stability and a driving smoothness on a driving safety, constructing a generator and a discriminator by utilizing a proximal policy optimization algorithm and a deep neural network respectively, and establishing a safe driving decision-making model with highly humanoid level; and training the safe driving decision-making model to obtain safe driving policies under different driving conditions and to implement an output of an advance

Abstract: A device includes sample tray units, a sample tray transporting unit, a sample tray handling unit, and a sample tray radiation stage unit. The sample tray units are configured to load samples. The sample tray transporting unit is configured to carry a sample tray unit to a radiation room. The sample tray handling unit is between the sample tray transporting unit and the sample tray radiation stage unit, and is configured to transfer the sample tray unit on the sample tray transporting unit to the sample tray radiation stage unit or return the sample tray unit on the sample tray radiation stage unit to the sample tray transporting unit. The sample tray radiation stage unit is configured to carry the sample tray unit and move the samples to be irradiated in the sample tray unit to a particle beam radiation area to receive radiation.

Abstract: The present invention discloses a method for segmenting pedestrians in roadside images using a variable-scale multi-feature fusion convolutional network. It addresses the challenge of significant changes in pedestrian scale by using two parallel convolutional neural networks to extract the local and global features at different scales, and then fusing them to obtain a variable-scale multi-feature fusion convolutional neural network, and this network is trained using roadside pedestrian images to realize accurate pedestrian segmentation, avoiding issues with boundary fuzziness and missing segments commonly found in single-network methods.

Abstract: A data processing method and an acceleration unit are provided. The method includes: S11, reading a row of a target matrix as a target row; S12, shifting elements in the target row along a first direction to acquire a shifted target row according to a preset offset, and writing each element in the shifted target row into a corresponding row buffer respectively; S13, reading a next row of the target row from the target matrix as a new target row, if the next row of the target row is not the last row of the target matrix and an available storage space exists in the row buffers; S14, reading corresponding elements from each row buffer according to a preset rule, and writing the elements read from each row buffer into an output buffer as a row, step S14 is repeated until all elements in all row buffers are written into the output buffer.

Abstract: The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed.

Abstract: For a tank truck using an EBS, the present invention provides a tank truck rollover relieved control method based on electronic braking deceleration. Firstly, a tank truck rollover scene applicable to the relieved control method is defined; then, a least square method is adopted to establish a characterization function of tank truck braking deceleration; and finally, tank truck rollover relieved control is achieved on the basis of the characterization function of the braking deceleration and the EBS.

Abstract: The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed.

Abstract: For a tank truck using an EBS, the present invention provides a tank truck rollover relieved control method based on electronic braking deceleration. Firstly, a tank truck rollover scene applicable to the relieved control method is defined; then, a least square method is adopted to establish a characterization function of tank truck braking deceleration; and finally, tank truck rollover relieved control is achieved on the basis of the characterization function of the braking deceleration and the EBS.

Abstract: The present invention discloses a positive azimuth towing guidance method for road rescue equipment based on license plate corner features. The method combines a structure of the road rescue equipment and characteristics of a positive azimuth towing operation. First, an image of an operation area is collected by installing a camera, and grayscale processing and Gaussian smooth filtering are performed on the image; corner detection is performed on the smoothed grayscale image, and preference is implemented according to corner strengths; hierarchical clustering is performed on the preferred corners; an effective corner set of license plate characters is sorted out to implement license plate locating; and then towing guidance is implemented according to a license plate locating result, to improve the rescue efficiency of the road rescue equipment.

Abstract: A device includes sample tray units, a sample tray transporting unit, a sample tray handling unit, and a sample tray radiation stage unit. The sample tray units are configured to load samples. The sample tray transporting unit is configured to carry a sample tray unit to a radiation room. The sample tray handling unit is between the sample tray transporting unit and the sample tray radiation stage unit, and is configured to transfer the sample tray unit on the sample tray transporting unit to the sample tray radiation stage unit or return the sample tray unit on the sample tray radiation stage unit to the sample tray transporting unit. The sample tray radiation stage unit is configured to carry the sample tray unit and move the samples to be irradiated in the sample tray unit to a particle beam radiation area to receive radiation.

Abstract: The present invention discloses a positive azimuth towing guidance method for road rescue equipment based on license plate corner features. The method combines a structure of the road rescue equipment and characteristics of a positive azimuth towing operation. First, an image of an operation area is collected by installing a camera, and grayscale processing and Gaussian smooth filtering are performed on the image; corner detection is performed on the smoothed grayscale image, and preference is implemented according to corner strengths; hierarchical clustering is performed on the preferred corners; an effective corner set of license plate characters is sorted out to implement license plate locating; and then towing guidance is implemented according to a license plate locating result, to improve the rescue efficiency of the road rescue equipment.

Abstract: The present invention discloses a roadside image pedestrian segmentation method based on a variable-scale multi-feature fusion convolutional network. For scenes where the pedestrian scale changes significantly in the intelligent roadside terminal image, this method designs two parallel convolutional neural networks to extract the local and global features of pedestrians at different scales in the image, and then fuses the local features and global features extracted by the first network with the local features and global features extracted by the second network at the same level, and then fuse the fused local features and global features for the second time to obtain a variable-scale multi-feature fusion convolutional neural network, and then train the network and input roadside pedestrian images to realize pedestrian segmentation.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for real-time localization. The disclosed system provides for real-time localization of an online product that is released to a client in its native language. The online product may include a native layer where content in the native language is provided as well as a localization layer where the content that has been localized can be provided for display. The localization layer may be superimposed on the native layer such that the content of the native layer is obscured from display. The disclosed system includes determining both the native language and detecting the user's locale so that the disclosed system can provide a localized version of the native content. The client calls a backend translation engine of a server to request for the localized version, and the backend translation engine can respond with the localized version in real-time.

Abstract: The subject matter disclosed herein describes a method and system to monitor and identify vibrations in a rotational mechanical system. Various fault conditions in a rotating machine operating at variable speeds may be identified, at least in part, by identifying the multiple of the fundamental frequency, or order, at which the vibration occurs. The orders of vibration present in a measured vibration signal may be determined by finding an order spectrum of a measured vibration signal in the position domain. A fault vector is generated from the order spectrum that identifies the magnitude of each order of vibration present in the measured vibration signal. The fault vector may be plotted on a radar chart to provide a visual indication of the type of fault present in the mechanical system. Evaluation models for each fault determines a probability and magnitude for each fault condition being present in the sampled vibration signal.

Abstract: A system includes a plurality of power monitors that, in operation, monitor parameters of power in an automation system at points between loads and/or power sources. Each of the power monitors includes sensing circuitry to sense the power parameters, peer-to-peer communications circuitry to communicate with other power monitors via peer-to-peer communication, network communications circuitry to communicate with automation devices via a network, and functional circuits to perform analysis of monitored power parameters in a cooperative manner based upon the power parameters monitored by the respective power monitor and power parameters monitored by other power monitors communicated via peer-to-peer communication.

Abstract: The subject matter disclosed herein describes a method and system to monitor and identify vibrations in a rotational mechanical system. Various fault conditions in a rotating machine operating at variable speeds may be identified, at least in part, by identifying the multiple of the fundamental frequency, or order, at which the vibration occurs. The orders of vibration present in a measured vibration signal may be determined by finding an order spectrum of a measured vibration signal in the position domain. A fault vector is generated from the order spectrum that identifies the magnitude of each order of vibration present in the measured vibration signal. The fault vector may be plotted on a radar chart to provide a visual indication of the type of fault present in the mechanical system. Evaluation models for each fault determines a probability and magnitude for each fault condition being present in the sampled vibration signal.

Abstract: An electric motor in which at least one of the rotor and the stator has an asymmetric design is disclosed. The electric motor is divided into a number of segments, where each segment has an equal number of windings and an equal number of poles. The physical construction of each pole within a segment is identical and the number of turns of each winding within a segment is identical. The asymmetry is formed by varying the physical construction of the either the rotor or the stator within one segment from the corresponding construction of the rotor or stator in the other segments. The asymmetries are designed to improve one or more operating characteristics such as sensorless performance, torque ripple, or cogging torque in the motor.