Abstract: A flushing switch device with automatic pressing stroke detection is provided, which is applied to the flushing switches of a toilet. The flushing switch device with automatic pressing stroke detection includes a capacitive sensor, an actuator, and a protector. The capacitive sensor senses a user's hand movements to generate a sensing signal. The actuator includes a driver and a pressing mechanism; the driver drives the pressing mechanism to press one of the flushing switches. The protector includes a detector and a controller; the detector detects a load variation during an operation of the actuator to generate a detection signal; the controller receives the sensing signal and correspondingly generates a control signal to control the actuator according to the sensing signal and the detection signal.

Abstract: An electronic device includes a housing, an antenna module, and a feeding element. The antenna module includes a first radiating element and a second radiating element. The first radiating element includes a first arm and a second arm. The second radiating element includes a first radiating portion and a feeding portion. The first radiating portion includes a first section, a second section and a third section. The feeding portion is connected to the first section, the first section includes a first branch and a second branch, and the second section is connected between the first branch and the third section. The first branch, the second section, and the third section jointly form a hook-shaped structure. The first radiating element is disposed on a periphery of the second radiating element. The hook-shaped structure is farther away from the first arm than the second branch.

Abstract: Systems are methods are provided for implementing an intelligent optical transceiver. The intelligent optical transceiver implements dynamic health monitoring and “time to fail” prediction functions to predict a failure of a component before it malfunctions during use. By employing the intelligent optical transceiver, a network can prevent failures in its optical connectivity that can degrade the network performance, such as experiencing outages and data unavailability. For example, the intelligent optical transceiver includes a module health monitor, which monitors, in real-time, health parameters of optical communication components in the intelligent optical transceiver. Also, the intelligent optical transceiver includes a time to fail predictor which predicts a time to fail for the optical communication components of the optical transceiver based on a result of a defined regression function.

Abstract: An antenna module and an electronic device are provided. The antenna module is disposed in a housing of the electronic device. The antenna module includes a first radiating element, a second radiating element, a grounding element, and a switching circuit. The first radiating element includes a first radiating portion and a second radiating portion that are connected with each other. The second radiating element includes a third radiating portion, a fourth radiating portion, a fifth radiating portion, and a feeding portion. The switching circuit is electrically connected between the grounding element and the first radiating element or between the grounding element and the feeding portion.

Abstract: A display substrate includes pixel-defining layer and sub-pixels of N colors, wherein N?3. The pixel-defining layer defines a plurality of sub-pixel areas having the sub-pixels arranged in therein; the pixel-defining layer includes a first pixel-defining layer and a second pixel-defining layer; a height of the second pixel-defining layer is smaller than a height of the first pixel-defining layer; and the first pixel-defining layer is configured to separate adjacent sub-pixels of different colors; the second pixel-defining layer is configured to separate adjacent sub-pixels of the same color; and the sub-pixels of N colors include red sub-pixels, blue sub-pixels, and green sub-pixels; the display substrate includes at least one column of sub-pixels, and in the at least one column of sub-pixels, sub-pixels belonging to a same column have a same color; and in a column of sub-pixels of the same color, corresponding light-emitting layers of at least two adjacent sub-pixels are connected.

Abstract: Systems are methods are provided for implementing an intelligent optical transceiver. The intelligent optical transceiver implements dynamic health monitoring and “time to fail” prediction functions to predict a failure of a component before it malfunctions during use. By employing the intelligent optical transceiver, a network can prevent failures in its optical connectivity that can degrade the network performance, such as experiencing outages and data unavailability. For example, the intelligent optical transceiver includes a module health monitor, which monitors, in real-time, health parameters of optical communication components in the intelligent optical transceiver. Also, the intelligent optical transceiver includes a time to fail predictor which predicts a time to fail for the optical communication components of the optical transceiver based on a result of a defined regression function.

Abstract: Systems, methods and devices for real-time contactless elevator service operation of an elevator includes a trained neural network (TNN) model. The TNN model is trained using a training processor with augmented datasets as a synthetic training dataset, to later perform elevator identifier recognition. The augmented data sets are generated from synthetic text images, the synthetic text images are augmented with different geometrical parameters and visual parameters to a predetermined number of variations in appearance to a set of training elevator identifiers. A camera captures a user image. A text image portion from the user image is extracted using the TNN model, and detects an elevator identifier in the extracted text image portion using the extracted text image portion and the TNN model. The detected elevator identifier is displayed for user confirmation or user cancellation, and upon user confirmation, generates a control command based the detected elevator identifier associated with an elevator service.

Abstract: A gain control device comprises a sign bit identification device and a gain determination device. The sign bit identification device is used to receive a data, identify a sign bit, and obtain a position of a time slot corresponding to the sign bit. Also, the data comprises a plurality of bits, wherein the most significant bit of the bits is designed to be a sign bit which is used to represent a positive or negative value of the data. The gain determination device is electrically connected to the sign bit identification device, and the gain determination device is used to determine a gain value for amplifying the data based on the position of the time slot corresponding to the sign bit identified through the sign bit identification device.

Abstract: A method of measuring a fuse resistance includes steps as follows. A predetermined voltage value of a force voltage on a common ground (CGND) bus electrically connected to at least one fuse element, a first current value of a measured current through the CGND bus in a first condition, and a second current value of another measured current through the CGND bus in a second condition are preloaded. The second current value is subtracted from the first current value, so as to get a subtracted current value, thereby removing a value of a leakage current through the CGND bus. The predetermined voltage value is divided by the subtracted current value to equal the fuse resistance of the at least one fuse element.

Abstract: A gain control device comprises a sign bit identification device and a gain determination device. The sign bit identification device is used to receive a data, identify a sign bit, and obtain a position of a time slot corresponding to the sign bit. Also, the data comprises a plurality of bits, wherein the most significant bit of the bits is designed to be a sign bit which is used to represent a positive or negative value of the data. The gain determination device is electrically connected to the sign bit identification device, and the gain determination device is used to determine a gain value for amplifying the data based on the position of the time slot corresponding to the sign bit identified through the sign bit identification device.

Abstract: An antenna module and an electronic device are provided. The antenna module is disposed in a housing of the electronic device. The antenna module includes a first radiating element, a second radiating element, a grounding element, and a switching circuit. The first radiating element includes a first radiating portion and a second radiating portion that are connected with each other. The second radiating element includes a third radiating portion, a fourth radiating portion, a fifth radiating portion, and a feeding portion. The switching circuit is electrically connected between the grounding element and the first radiating element or between the grounding element and the feeding portion.

Abstract: A communication device with high radiation efficiency includes a click pad frame, a metal wall, and an antenna structure. The metal wall is coupled to the click pad frame. The antenna structure is coupled to the click pad frame. The click pad frame is disposed between the metal wall and the antenna structure.

Abstract: A connecting structure for a liquid container includes a receiving groove. The liquid container having a suction tube is disposed in the receiving groove. A top end of the receiving groove is engaged with a connecting base. A front side of the connecting base is pivotally connected to a locking assembly protruding frontwards. A liftable base being movable along a top-bottom direction and a front-rear direction is disposed in an inner side of the connecting base, and has a bottom frame engaging with a sleeve that is for being connected to and communicating with a liquid pipeline and fits around the suction tube. Two extending arms extending frontwards out of the bottom frame are pivotally connected to the locking assembly. A left side and a right side of the bottom frame are pivotally connected to two swinging arms that extend backwards and are pivotally connected to the connecting base.

Abstract: A method of measuring a fuse resistance includes steps as follows. A predetermined voltage value of a force voltage on a common ground (CGND) bus electrically connected to at least one fuse element, a first current value of a measured current through the CGND bus in a first condition, and a second current value of another measured current through the CGND bus in a second condition are preloaded. The second current value is subtracted from the first current value, so as to get a subtracted current value, thereby removing a value of a leakage current through the CGND bus. The predetermined voltage value is divided by the subtracted current value to equal the fuse resistance of the at least one fuse element.

Abstract: A solid state storage device includes a control circuit, a volatile memory and a non-volatile memory. The non-volatile memory is divided into a first area and a second area. After the host issues a write command and a write data, the control circuit monitors a data amount of the write data continuously stored into the non-volatile memory. Before the data amount of the write data continuously stored into the non-volatile memory reaches a predetermined amount, the write data is stored into plural buffering blocks of the first area in a first write mode. After the data amount of the write data continuously stored into the non-volatile memory reaches the predetermined amount, the write data is stored into plural storing blocks of the second area in a second write mode.

Abstract: Deep learning is used to train a neural network for end-to-end prediction of short term (e.g., 20 minutes or less) solar irradiation based on camera images and metadata. The architecture of the neural network includes a recurrent network for temporal considerations. The images and metadata are input at different locations in the neural network. The resulting machine-learned neural network predicts solar irradiation based on camera images and metadata so that a solar plant and back-up power source may be controlled to minimize output power variation.

Abstract: A mineral spring generator has a machine body and a pipeline disposed in the machine body. Two ends of the pipeline respectively have a water inlet and a water outlet. A solenoid valve is connected between the pipeline. At least two injection channels are connected to the pipeline at intervals along a direction of a water flow in the pipeline. A micromotor is connected between each of the at least two injection channels. An outer end of each of the at least two injection channels is connected to a material container. Each material container is adapted to be filled with a liquid mineral spring concentrate. When the present invention is used, water is inputted through the water inlet, and the solenoid valve and the micromotors are activated to add the mineral spring concentrates in the at least two material containers to different positions of the pipeline.

Abstract: A cross-modality knowledge transfer system is provided for adapting one or more source model networks to one or more target model networks. The system is configured to perform steps of providing the TI paired datasets through the source feature encoders of the one or more source model networks, extracting TI source features and TI source moments from the TI paired data by the BN layers of the one or more source model networks, providing the TI paired datasets and the unlabeled TR datasets through the one or more target model networks to extract TI target features and TR target moments, training jointly all the feature encoders of the one or more target model networks by matching the extracted TI target features and TR target moments with the TI source features and TI source moments along with mixing weights, and forming a final target model network by combining the trained one or more target model networks.

Abstract: Systems, methods, and computer-readable media are described for determining the orientation of a target object in an image and iteratively reorienting the target object until an orientation of the target object is within an acceptable threshold of a target orientation. Also described herein are systems, methods, and computer-readable media for verifying that an image contains a target object.

Abstract: Systems are methods are provided for implementing an intelligent optical transceiver. The intelligent optical transceiver implements dynamic health monitoring and “time to fail” prediction functions to predict a failure of a component before it malfunctions during use. By employing the intelligent optical transceiver, a network can prevent failures in its optical connectivity that can degrade the network performance, such as experiencing outages and data unavailability. For example, the intelligent optical transceiver includes a module health monitor, which monitors, in real-time, health parameters of optical communication components in the intelligent optical transceiver. Also, the intelligent optical transceiver includes a time to fail predictor which predicts a time to fail for the optical communication components of the optical transceiver based on a result of a defined regression function.