Abstract: A computing device includes a processor and a medium storing instructions. The instructions are executable by the processor to: in response to a receipt of an electronic request comprising one or more structured data fields and one or more unstructured data fields, identify a set of previous electronic requests using the one or more structured data fields of the received electronic request; train a probabilistic classification model using at least one structured data field of the identified set of previous electronic requests; execute the trained probabilistic classification model using the one or more unstructured data fields of the received electronic request; and automatically select a request handler using an output of the executed probabilistic classification model.

Abstract: The present invention relates to a powder dry-pressing molding device and method.

Abstract: The present disclosure provides a target object tracking method. In this disclosure, the point cloud data sequence in the target scene is collected by lidars and the first frame of cloud point data is extracted; the bounding box of the target object in the first frame of cloud point data is determined using the preset three-dimensional target tracking algorithm. All the target point clouds in the bounding box are extracted to generate the first template point cloud. The template expansion processing is performed using the preset ATG algorithm to obtain the second template point cloud. The point cloud features in the search area of other frames of point cloud data are extracted, and are compared with the second template point cloud and the reference template point cloud to obtain the comparison result. Based on the comparison result, the tracking result of the target object is generated and displayed.

Abstract: This invention proposes a single-vector-based finite control set model predictive control for two parallel power converters, which adopts a centralized control structure to achieve accurate control of overall performance. It establishes predictive models for line currents and three phase-circulating currents and constructs a novel cost function that uses these currents as performance indices to implement the predictive control algorithm based on the proposed predictive models. The invention proposes dynamic weighting coefficients and adjustment principles to improve system control performance. A finite set output signal matrix containing important characteristic information of all alternative vectors is constructed to avoid redundant calculations in each control horizon, reducing computation time during practical implementation.

Abstract: This invention proposes a single-vector-based finite control set model predictive control for two parallel power converters, which adopts a centralized control structure to achieve accurate control of overall performance. It establishes predictive models for line currents and three phase-circulating currents and constructs a novel cost function that uses these currents as performance indices to implement the predictive control algorithm based on the proposed predictive models. The invention proposes dynamic weighting coefficients and adjustment principles to improve system control performance. A finite set output signal matrix containing important characteristic information of all alternative vectors is constructed to avoid redundant calculations in each control horizon, reducing computation time during practical implementation.

Abstract: Disclosed is a vehicle fuel economy evaluation method based on data analysis. The method combines data processing and a fuel model with an enhanced learning mechanism to predict fuel consumption, analyze driving behavior and output an improvement suggestion. With continuous enhanced learning and long-term dynamic improvement, the model will be able to predict economic fuel consumption in an increasingly accurate way, along with specific and intuitive driving behavior suggestions to help drivers to drive economically.

Abstract: A method for detecting the load mass of a commercial vehicle includes the following steps. Step S1, data preprocessing: including data analysis, cleaning, noise processing and other operations for original terminal data of the vehicle. Step S2, identification and analysis of working conditions: further analyzing the working conditions according to the preprocessed data. Step S3, data screening: determining whether data with the working conditions analyzed belong to test data or training data; proceeding to step S5 if the data belong to test data, or proceeding to step S4 if the data belong to training data. Step S4, model construction and combination: constructing a plurality of different basic models through the training data in the step S2, and finally combining the models through training and screening.

Abstract: A computing device includes a processor and a machine-readable storage medium storing instructions. The instructions are executable by the processor to: receive input data defining an information technology (IT) change request; in response to a receipt of the input data, perform a first risk classification of the IT change request using a decision tree model; generate a graphical user interface based on the first risk classification, the graphical user interface indicating risk impacts for each of a plurality of request features, and the graphical user interface including a graphic representation of the decision tree model; in response to a user modification to a first request feature of the plurality of request features in the graphical user interface, automatically perform a second request analysis using the decision tree model; and automatically update the graphical user interface based on the second request analysis.

Abstract: In some examples, an apparatus for automated removal of noise in a frequency domain receives an image captured by an image sensor, converts at least a portion of the image into a frequency domain image, identifies a position in the frequency domain image, the position indicating a boundary between target content in the frequency domain image and noise in the frequency domain image, and removes content in the frequency domain image outside the boundary, to produce a noise-attenuated image.

Abstract: A video target tracking method is provided to a computing device, the method includes: obtaining a partial detection map corresponding to a target image frame in a to-be-detected video; obtaining a relative motion saliency map corresponding to the target image frame; determining constraint information corresponding to the target image frame according to the partial detection map and the relative motion saliency map; adjusting a parameter of an image segmentation model by using the constraint information, to obtain an adjusted image segmentation model; and extracting a target object from the target image frame by using the adjusted image segmentation model.

Abstract: In some examples, with respect to intent and context-aware dialogue based virtual assistance, an intent of an inquiry may be determined using an intent classification model. A determination may be made as to whether the determined intent matches a pre-specified intent of a plurality of pre-specified intents. Based on a determination that the determined intent does not match the pre-specified intent, a question related to the inquiry may be generated. Another intent of the inquiry may be determined by analyzing a response to the question using the intent classification model. A determination may be made as to whether the determined other intent matches another pre-specified intent of the plurality of pre-specified intents. Based on a determination that the determined other intent does not match the other pre-specified intent, a deep learning model may be utilized to predict a response to the inquiry.

Abstract: A computing device includes a processor and a medium storing instructions. The instructions are executable by the processor to: in response to a receipt of an electronic request comprising one or more structured data fields and one or more unstructured data fields, identify a set of previous electronic requests using the one or more structured data fields of the received electronic request; train a probabilistic classification model using at least one structured data field of the identified set of previous electronic requests; execute the trained probabilistic classification model using the one or more unstructured data fields of the received electronic request; and automatically select a request handler using an output of the executed probabilistic classification model.

Abstract: In some examples, an apparatus for automated removal of noise in a frequency domain receives an image captured by an image sensor, converts at least a portion of the image into a frequency domain image, identifies a position in the frequency domain image, the position indicating a boundary between target content in the frequency domain image and noise in the frequency domain image, and removes content in the frequency domain image outside the boundary, to produce a noise-attenuated image.

Abstract: An order re-check system, comprising: electronic tags arranged on turnover boxes; RFID readers/writers arranged on goods allocations, when the turnover boxed are located on the goods allocations, RFID readers/writers acquiring number information of the turnover boxes via the electronic tags; a first information binding module, used for binding the first number information and the second number information in a one to one manner; a second information binding module, used for binding the second number information and orders in a one to one manner; a commodity information acquisition module, used for acquiring commodity information; a commodity information processing module, used for determining an order for a commodity according to the commodity information, and determining the first number information corresponding to the commodity according to a binding relationship between the first number information and the orders; and control indication modules, used for instructing the corresponding goods allocations or

Abstract: Apparatus comprises a switch feature configured to restrict an electrical signal transmitted from a peripheral device, and received through an electrical contact, from being transferred to one of first and second circuit modules coupled to the electrical contact, depending on the voltage amplitude of the electrical signal.

Abstract: An order re-check system, comprising: electronic tags arranged on turnover boxes; RFID readers/writers arranged on goods allocations, when the turnover boxed are located on the goods allocations, RFID readers/writers acquiring number information of the turnover boxes via the electronic tags; a first information binding module, used for binding the first number information and the second number information in a one to one manner; a second information binding module, used for binding the second number information and orders in a one to one manner; a commodity information acquisition module, used for acquiring commodity information; a commodity information processing module, used for determining an order for a commodity according to the commodity information, and determining the first number information corresponding to the commodity according to a binding relationship between the first number information and the orders; and control indication modules, used for instructing the corresponding goods allocations or

Abstract: Apparatus comprises a switch feature configured to restrict an electrical signal transmitted from a peripheral device, and received through an electrical contact, from being transferred to one of first and second circuit modules coupled to the electrical contact, depending on the voltage amplitude of the electrical signal.

Abstract: A toolholder includes an absorber mass externally mounted to a body portion of the toolholder. A spacer is disposed within one or more recesses formed in a bottom wall of the absorber mass. One or more resilient members are disposed between the body portion and the absorber mass, and one or more resilient members are disposed between the absorber mass and the spacer. A clamping bolt passes through each spacer, through the absorber mass and is threaded into the body portion of the toolholder. A rigidity of the one or more resilient members can be selectively adjusted by the clamping bolts so as to tune the absorber mass for optimum dampening of vibration of the toolholder.

Abstract: A toolholder includes an absorber mass externally mounted to a body portion of the toolholder. A spacer is disposed within one or more recesses formed in a bottom wall of the absorber mass. One or more resilient members are disposed between the body portion and the absorber mass, and one or more resilient members are disposed between the absorber mass and the spacer. A clamping bolt passes through each spacer, through the absorber mass and is threaded into the body portion of the toolholder. A rigidity of the one or more resilient members can be selectively adjusted by the clamping bolts so as to tune the absorber mass for optimum dampening of vibration of the toolholder.

Abstract: A system for turning a computer on and off, the system has a first switch mounted on an external device, and a control circuit for turning the computer on or off. The control circuit has a second switch and a first resistor. The first switch is connected between the second switch and a first power supply. The second switch is connected to a second power supply via the first resistor, and to a control end capable of turning the computer on or off. The first switch actuates the second switch. Upon a condition of the second switch turning on, the control end is grounded to turn the computer on or off.