Abstract: The present invention is related to computer-assisted process design, and an MBD-based three-dimensional process designing method and platform for a typical automobile machined part are disclosed. By taking three-dimensional CAD software as a carrier, an MBD design model, and a process MBD model as a data output, the design flow comprises steps such as establishment of MBD-related standards, creation of an MBD design model, feature classification and creation of a feature library, feature recognition and information extraction, generation of manufacturing elements, clustering of the manufacturing elements and generation of procedures, sequencing of the procedures, and creation of manufacturing features body and procedure models.

Abstract: Some aspects of the subject matter disclosed herein include a system implemented on one or more data processing apparatuses. The system can include an interface configured to obtain, from one or more sensor subsystems, sensor data describing an environment of a vehicle, and to generate, using the sensor data, (i) one or more first neural network inputs representing sensor measurements for a particular object in the environment and (ii) a second neural network input representing sensor measurements for at least a portion of the environment that encompasses the particular object and additional portions of the environment that are not represented by the one or more first neural network inputs; and a convolutional neural network configured to process the second neural network input to generate an output, the output including a plurality of feature vectors that each correspond to a different one a plurality of regions of the environment.

Abstract: A control system can include a resettable chamber and a bidirectional valve. The bidirectional valve can be switchable between (i) a first configuration for enabling fluid flow from the control line into a first port of a well tool and from a second port of the well tool into the resettable chamber, and (ii) a second configuration for enabling fluid flow from the control line into the second port of the well tool and from the first port of the well tool into the resettable chamber. The bidirectional valve can be switched from the first configuration to the second configuration in response to pressure being applied to the control line.

Abstract: The present disclosure relates to a processor for implementing artificial neural networks, for example, convolutional neural networks. The processor includes a memory controller group, an on-chip bus and a processor core, wherein the processor core further includes a register map, an instruction module, a data transferring controller, a data writing scheduling unit, a buffer module, a convolution operation unit and a hybrid computation unit. The processor of the present disclosure may be used for implementing various neural networks with increased computation efficiency.

Abstract: A cooling system for electrical and electronic devices for hot swapping of a fan module without affecting cooling efficiency due to air backflow, preventing stalling of newly installed exhaust device due to reverse rotation. A check valve assembly having an inlet side frame member, an outlet side frame member, and one or more non-symmetrical valve flaps, each flap having a movable part and a fixed part. The outlet side frame allows the flaps to open under suction pressure on side of the outlet side frame, the inlet side frame disallows the flaps to open under suction pressure on side of the inlet side frame, allowing air to flow in one direction from inlet side frame side to outlet side frame side only. The check valve assembly can be independent of the exhaust device. The check valve assembly can prevent backflow of air during hot swapping of the exhaust device.

Abstract: A method for calculating a given multivariate polynomial f(Xi) is provided. The multivariate polynomial f(Xi) is to be calculated for every Xi in a large dataset X=(X1, X2, . . . ; XK) in accordance with an S-resilient, A-secure, and T-private scheme where K is an integer enumerating the number of elements in the dataset X, S is the number of stragglers to be tolerated, A is the number of adversaries to be tolerated, and T is the number of colluding workers that to be tolerated. The method is implemented by a computer system that includes a master computing device and a plurality of worker computing devices. The working computing devices can include colluding workers, malicious computing devices, and straggler computing devices.

Abstract: The present disclosure relates to a processor for implementing artificial neural networks, for example, convolutional neural networks. The processor includes a memory controller group, an on-chip bus and a processor core, wherein the processor core further includes a register map, an instruction module, a data transferring controller, a data writing scheduling unit, a buffer pool, a data reading scheduling unit and a computation module. The processor of the present disclosure may be used for implementing various neural networks with increased computation efficiency.

Abstract: A control system can include a resettable chamber and a bidirectional valve. The bidirectional valve can be switchable between (i) a first configuration for enabling fluid flow from the control line into a first port of a well tool and from a second port of the well tool into the resettable chamber, and (ii) a second configuration for enabling fluid flow from the control line into the second port of the well tool and from the first port of the well tool into the resettable chamber. The bidirectional valve can be switched from the first configuration to the second configuration in response to pressure being applied to the control line.

Abstract: Audio data describing an audio signal may be received and used to determine a set of frames of the audio signal. One or more potential music events may be determined in the audio signal using a spectral analysis of the set of frames. The audio signal may be analyzed for one or more potential noise or tone events. One or more music states of the audio signal may be determined based on the one or more potential music events and a presence or absence of the one or more noise or tone events. Audio enhancement of the audio signal may be modified based on the one or more determined states of the audio signal.

Abstract: Audio data describing an audio signal may be received and used to determine a set of frames of the audio signal. A plurality of note onsets in the set of frames may be identified based on spectral energy of the audio signal in the set of frames. One or more tempos may be computed based on the identified plurality of note onsets. The one or more tempos may be validated based on a tempo validation condition. One or more music states of the audio signal may be determined based on the validated one or more tempos. Audio enhancement of the audio signal may be modified based on the one or more determined states of the audio signal.

Abstract: A user interface for virtual assistant interactions on a telephony device may be provided. First, a plurality of lines associated with the telephony device, including a designated line for a user and a shared line for a virtual assistant, may be displayed through the user interface. Next, in response to receiving an incoming call to the designated line, a plurality of features associated with handling the incoming call, including an assistant feature to direct the incoming call to the virtual assistant, may be displayed through the user interface. Then, in response to the incoming call being directed to the virtual assistant, a plurality of features associated with managing a conversation between the virtual assistant and a caller during the incoming call may be displayed through the user interface. After the incoming call has ended, a call history associated with the incoming call may be displayed through the user interface.

Abstract: Some aspects of the subject matter disclosed herein include a system implemented on one or more data processing apparatuses. The system can include an interface configured to obtain, from one or more sensor subsystems, sensor data describing an environment of a vehicle, and to generate, using the sensor data, (i) one or more first neural network inputs representing sensor measurements for a particular object in the environment and (ii) a second neural network input representing sensor measurements for at least a portion of the environment that encompasses the particular object and additional portions of the environment that are not represented by the one or more first neural network inputs; and a convolutional neural network configured to process the second neural network input to generate an output, the output including a plurality of feature vectors that each correspond to a different one a plurality of regions of the environment.

Abstract: Disclosed is an ultrahigh-pressure homogenizing integrated device and a cell disruptor. The ultrahigh-pressure homogenizing integrated device includes a long oil cylinder, a main connecting sleeve, a high-pressure cylinder homogenizing main body, an auxiliary connecting sleeve and a short oil cylinder, which are sequentially and coaxially arranged. An upper part of the high-pressure cylinder homogenizing main body is provided with a feeding hole communicated with a high-pressure cavity; and the feeding hole is connected with an integrated feeding device. A pressurizing plunger rod in the high-pressure cavity of the high-pressure cylinder homogenizing main body is connected with a piston rod of the long oil cylinder; and a homogenizing valve arranged in the inner cavity, which is communicated with the high-pressure cavity, of the high-pressure cylinder homogenizing main body, is connected with an ejector rod of the short oil cylinder.

Abstract: An obstacle touching detecting device for a swimming pool cleaner includes a main functional portion of the cleaner and a sensor obstacle touching detecting device. The main functional portion of the cleaner includes a cleaner main body, a controller module, and a power-driven actuating device. The controller module and the power-driven actuating device are connected to the cleaner main body. The sensor obstacle touching detecting device includes a trigger unit connected to the cleaner main body and a sensor detecting module electrically connected to the controller module. The controller module is electrically connected to the power-driven actuating device. The trigger unit works collaboratively with the sensor detecting module to trigger the sensor detecting module to generate a detection signal. An automatic detection is performed when the cleaner touches the wall or other obstacles, and the cleaner is controlled to change direction automatically.

Abstract: A homogenized and integrated device with a coaxial line and double-high pressure cylinder, includes a long oil cylinder, two main connecting sleeves, two high pressure cylindrical homogenized main bodies, two auxiliary connecting sleeves and two short oil cylinders. The two main connecting sleeves, two high pressure cylindrical homogenized main bodies, two auxiliary connecting sleeves and two short oil cylinders are respectively and symmetrically arranged at two ends of the long oil cylinder and are assembled with the long oil cylinder along a same axial line. Each high pressure cylindrical homogenized main body is integrally connected with the long oil cylinder by virtue of one of the main connecting sleeves. Each high pressure cylindrical homogenized main body is integrally connected with the corresponding short oil cylinder by virtue of one of the auxiliary connecting sleeves.

Abstract: A high parallelism computing system and instruction scheduling method thereof are disclosed. The computing system comprises: an instruction reading and distribution module for reading a plurality of types of instructions in a specific order, and distributing the acquired instructions to corresponding function modules according to the types; an internal buffer for buffering data and instructions for performing computation; a plurality of function modules each of which sequentially executes instructions of the present type distributed by the instruction reading and distribution module and reads the data from the internal buffer; and wherein the specific order is obtained by topologically sorting the instructions according to a directed acyclic graph consisting of the types and dependency relationships.

Abstract: Aspects describe gas sensitive field effect transistor (FET) structures, a gas sensitive FET array including the disclosed gas sensitive FET structures, and methods of manufacturing and using the same. In one example, a gas sensitive FET structure can include a body comprising a substrate layer, an intermediate layer over the substrate layer, and a passivation layer over the intermediate layer. Primary terminals disposed within the body can include at least one source terminal, at least one drain terminal and at least one gate terminal. A floating gate disposed within the body can comprise metal at a top surface of the intermediate layer. The passivation layer can be etched over the floating gate, and the floating gate can be electrically coupled to the gate terminal of the primary terminals. A sensing material layer can be positioned over the floating gate. A reset element can be included for resetting the floating gate.

Abstract: Aspects of the disclosure provide for a method for updating business information. A business at a business location and a reference image for the business at the business location may be selected for an update. From a number of more recent images, a comparison image may be selected based on a likelihood that the comparison image captures the business location. Text and visual features reference image may be compared with text and visual features of the comparison image to determine a text similarity score and a features similarity score. A confidence level indicating whether the business in the reference image is in the comparison image may then be determined using the text similarity score and the feature similarity score. According to the confidence level, the business information of the business may be updated.

Abstract: The present disclosure relates to a processor for implementing artificial neural networks, for example, convolutional neural networks. The processor includes a memory controller group, an on-chip bus and a processor core, wherein the processor core further includes a register map, a first instruction unit, a second instruction unit, an instruction distributing unit, a data transferring controller, a buffer module and a computation module. The processor of the present disclosure may be used for implementing various neural networks with increased computation efficiency.

Abstract: A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras.