Abstract: A surface cleaning apparatus can include a housing adapted to move across a surface to be cleaned, an edge brush, and a brushroll driven by a brush motor. The edge brush is connectable with a drive coupling for rotating the edge brush, and is indirectly driven by the brush motor via the brushroll. In one aspect, the edge brush and drive coupling comprise a modular unit removably coupled to the housing. In another aspect, the drive coupling can include a worm and a belt.

Abstract: In various embodiments, a device of a video conferencing system obtains a stream of video data depicting a participant of a video conference. The device analyzes the stream of video data to detect motion of the participant. The device identifies, by analyzing the motion of the participant using a machine learning model, the motion of the participant as clapping by the participant. The device provides the indication that the participant is clapping to one or more user interfaces of the video conferencing system.

Abstract: A thermistor sensor arrangement for measuring chipset temperature is provided. According to various aspects of the present disclosure, a sensor assembly is placed between a heat sink of a chipset and a PCB on which the chipset is mounted. The sensor assembly includes a thermistor sensor, an electrical connector, and a resilient pad. The thermistor sensor includes a first end having a sensing element and a second end having sensor contacts. The electrical connector has a first interface to receive the sensor contacts, a second interface through which the signals are outputted, and a bottom surface to mount to the PCB. The resilient pad has an upper surface to which the sensing element is attached and a lower surface to engage with the PCB such that when the resilient pad is compressed, spring force of the resilient pad facilitates temperature measurement by pressing the sensing element against the heat sink.

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: Disclosed is a method for stitching dual-camera images. The method includes collecting two images having overlapping photographic content; extracting and matching feature points of the two images; roughly aligning the two images by using a homography matrix; and accurately aligning the two images by using a least squares method to complete stitching the two images. Further disclosed is an apparatus corresponding to the method.

Abstract: A surface cleaning apparatus can include a housing adapted to move across a surface to be cleaned, and an edge cleaning brush provided on the housing. The edge cleaning brush can include an attachment hub connectable with a drive coupling for rotating the brush, a cleaning implement configured to contact the surface to be cleaned, and a tensioner hub applying downward force onto the cleaning implement. Drive couplings for the edge cleaning brush are also disclosed, such as drive couplings including a worm and belt that are indirectly drive via a brushroll.

Abstract: Provided are a capacitance detecting circuit, a touch control chip, a touch detection apparatus and an electronic device. The capacitance detecting circuit, by configuring a first input side of an operational amplifier as a preset voltage, and utilizing the same characteristics of voltages at two input sides of the operational amplifier, enables that an output voltage in a touch sensor is configured as a preset voltage by a second input side of the operational amplifier, and by changing a position of a drive of a coding voltage, mutual-capacitance and self-capacitance detection can be realized with the same circuit. After replicating a single-channel current signal output by the operational amplifier into a multi-channel current signal, a current subtracting circuit is used to determine a differential signal of current signals output by two adjacent channels, and the differential signal is converted into a voltage through a charge amplifying circuit.

Abstract: A capacitance detection circuit, a touch control chip and an electronic device can effectively extract a capacitance change without increasing costs of a circuit. The capacitance detection circuit includes: a CCA circuit, a first input end and a second input end of the CCA circuit are connected to a capacitance to be measured and a cancellation capacitance, respectively, a third input end of the CCA circuit is connected to a coding voltage, and a first output end and a second output end of the CCA circuit output a first current and a second current, respectively, where the cancellation capacitance is smaller than an initial value of the capacitance to be measured; a PGA circuit, two input ends of the PGA circuit are connected to two output ends of the CCA circuit, respectively.

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 system and method are described for smart noise cancellation. In some implementations, the system may receive audio data describing an audio signal, which the system may use to determine a set of frames of the audio signal. Spectral analysis, which may include a signal-to-noise ratio estimate, may be performed on the one or more frames of the audio. In some instances, the system may identify a noise frame from among the one or more frames based on the spectral analysis, and may reduce noise in the one or more frames based on the noise frame and the spectral analysis on the one or more frames of the audio signal.

Abstract: A surface cleaning apparatus can include a housing adapted to move across a surface to be cleaned, and an edge cleaning brush provided on the housing. The edge cleaning brush can include an attachment hub connectable with a drive coupling for rotating the brush, a cleaning implement configured to contact the surface to be cleaned, and a tensioner hub applying downward force onto the cleaning implement. Drive couplings for the edge cleaning brush are also disclosed, such as drive couplings including a worm and belt that are indirectly drive via a brushroll.

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: 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: 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: 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: A mechanism for detecting obstacles and mechanically reversing (a direction of) a pool cleaner includes a drive part in non-rotatable connection with a cleaner housing, an arresting assembly connected to the cleaner housing, and a rotary direction-changing assembly rotatably connected to the cleaner housing or the drive part. The arresting assembly cooperates with the rotary direction-changing assembly. The mechanism for detecting obstacles and mechanically reversing (a direction of) a pool cleaner is compact in structure, low in manufacturing cost, and can perform obstacle detection and change a direction of the pool cleaner. With the structure of the rotary direction-changing assembly capable of rotating relative to the cleaner housing, the cleaner, when meeting an obstacle, is allowed to change the traveling direction, thereby resulting in a high working efficiency.

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.