Abstract: The present disclosure is directed to methods for training and using an artificial intelligence model for use with predicting a task output. The method includes generating a plurality of individual datasets, each of the plurality of individual datasets comprising data of at least one answer to at least one of a plurality of questions of each of a plurality of questionnaires, generating a first batch of individual datasets, the first batch of individual datasets comprising one or more of the plurality of individual datasets, inputting the first batch of individual datasets into the artificial intelligence model, and encoding the data of the first batch of individual datasets with an autoencoder.

Abstract: The present invention relates to an image encoding method and an image decoding method. The image decoding method includes partitioning a picture into a plurality of coding units, constructing a coding unit group including at least one coding unit of the plurality of coding units, obtaining coding information in units of one coding unit group, and decoding at least one coding unit of the plurality of coding units included in the coding unit group by using the obtained coding information.

Abstract: Systems, methods, and other embodiments described herein relate to integrating human decision-making into a model-based system. In one embodiment, a method includes acquiring sensor data, including driver data about a driver of a vehicle and driving data about the vehicle and a surrounding environment of the vehicle. The method includes encoding, using a world encoder, the sensor data into a latent representation. The method includes determining human decision- making characteristics according to the latent representation. The method includes generating a control signal for providing shared control of the vehicle according to the human decision-making characteristics and the latent representation.

Abstract: Systems, methods, and other embodiments described herein relate to stylizing messages within a vehicle according to an occupant and a current context. In one embodiment, a method includes determining a style for presenting messages associated with an occupant of a vehicle according to a context defined in relation to an occupant and an environment of the vehicle. The method includes generating a message according to the style for the occupant. The method includes providing the message to the occupant.

Abstract: Provided is a communication method by which a transmitting device and a receiving device communicate through a request channel and a reply channel, the communication method including: outputting, by the transmitting device, a burden signal including data to the receiving device through the request channel; storing, by the receiving device, the data; providing, by the transmitting signal, a reply request signal indicating whether a reply is required; and performing, by the receiving device, a reply to the stored data through the reply channel according to the reply request signal.

Abstract: A teaching curriculum method for generating teaching actions for drivers, includes obtaining driving data from a plurality of driving scenarios, the driving data comprises vehicle trajectory information and corresponding scene context information, the driving scenarios comprising instructed driving events and uninstructed driving events, encoding, with a behavior model, the driving data, wherein the encoded driving data comprises an indication that a corresponding one of the driving scenarios comprises one of the instructed driving event or the uninstructed driving event, determining, with a trajectory estimator processing the encoded driving data, one or more driving skill transitions based on a presence or an absence of the indication, and generating, with a teacher action model, a teaching action for one of the plurality of driving scenarios.

Abstract: A circuit compensation method applied to pattern displacement includes: disposing at least one chip on a carrier; measuring a shift of the chip, performing circuit position compensation on a predetermined pattern of a redistribution layer, and calculating a resistance difference of the pattern before and after the circuit position compensation; estimating a circuit proportion and a range of resistance variation in the pattern needed for resistance compensation after the circuit position compensation according to the resistance difference; determining a compensation position and a scheme of circuit proportion and adjusting a circuit width, area, length, pattern, or combination thereof of a circuit within the circuit proportion according to the resistance difference; outputting a picture file of the pattern after the circuit position and resistance compensation; and forming the redistribution layer according to the picture file and electrically connecting the redistribution layer to the chip.

Abstract: Provided is a radiation detector, comprising a substrate, a pixel array formed on the substrate, a perovskite thick film formed on the pixel array and having nanosheet structure, and a readout circuit electrically connected to the pixel array, wherein the perovskite thick film comprises CsPbBrmI3-m or FAPbBrmI3-m, 0?m?3, a surfactant and a ligand. A preparation method for a perovskite thick film is also provided.

Abstract: A bypass seamless switching apparatus and a method thereof are provided, in which a controller sends a first control signal to control or switch a first relay to on/off state, sends a second control signal to control or switch a second relay to on/off state, and sends a switch signal to control or switch a bypass switch module to on/off state. When the controller is in failure mode or is disconnected, a driving power supply of a bypass circuit provides a driving signal to the bypass switch module to maintain or switch a switch of the bypass switch module to on state, so that the bypass switch module is in short-circuit state or short-circuit protection state, and a bypass side voltage of the bypass switch module is equal to or close to zero voltage, so as to execute bypass function or bypass seamless switching function of the bypass switch module.

Abstract: An abnormal detection circuit is provided. The abnormal detection circuit includes a conversion circuit, a voltage detection circuit, and a warning circuit. The conversion circuit receives a three-phase alternating current (AC) power and converts the three-phase AC power into a driving power. The voltage detection circuit detects each phase of the three-phase AC power. When a voltage value of at least one phase AC power of the three-phase AC power is abnormal, the voltage detection circuit uses the driving power to output at least one control signal corresponding to the abnormality. The warning circuit is driven by receiving the driving power and outputs at least one warning signal corresponding to the abnormality in response to the at least one control signal.

Abstract: Disclosed herein to a method and apparatus for synchronizing signals. According to an embodiment of the present disclosure, there is provided a method for synchronizing a signal. The method comprising: receiving a reference time and performing time synchronization with the reference time; calculating a clock frequency of a system clock based on the reference time; and generating a sampling clock by using the calculated clock frequency of the system clock and a preset sampling frequency.

Abstract: Disclosed herein is a method of decoding an image including determining whether a current block is in a bi-directional optical flow (BIO) mode, calculating gradient information of prediction samples of the current block when the current block is in the BIO mode, and generating a prediction block of the current block using the calculated gradient information, wherein the calculating of the gradient information of the prediction samples of the current block includes calculating the gradient information using at least one neighbor sample adjacent to the prediction samples.

Abstract: The present disclosure discloses a method for suppressing the azimuth ambiguity of multi-channel SAR systems based on channel cancellation, which falls within the field of radar signal processing. The method includes: imaging echoed of the multi-channel SAR system based on a linear mapping reconstruction algorithm to obtain a reconstructed high-resolution wide-swath image; estimating positions of the azimuth ambiguity regions of the reconstructed high-resolution wide-swath image; extracting ambiguity images in the azimuth ambiguity regions based on channel cancellation and the refocusing algorithm; and suppressing a repetitive ambiguity image in imaging the echo of the multi-channel SAR system.

Abstract: There is provided a method of decoding an image, the method comprising: decoding information for motion information prediction of a current block from a bitstream, predicting motion information of the current block based on the information, refining motion information of the current block by using the decoded information and the predicted motion information of the current block and reconstructing the current block based on the refined motion information of the current block.

Abstract: The present invention relates to a nozzle device assembly for the automatic feeding in deep-water aquaculture and feeding system thereof and belonging to technical field of aquaculture device. It comprises a conical nozzle and a feeding pipe joint, wherein the feeding pipe joint further comprises a vacuum chamber, a bait inlet and a feeding pipe interface, the bait inlet is provided on the side wall of the vacuum chamber, wherein the junction between vacuum chamber and feeding pipe interface is an arc-shaped transition zone, wherein a cavity is formed between conical nozzle and vacuum chamber wall. The present invention also provides a feeding system equipped with the nozzle device assembly. It can keep the water velocity from the nozzle constant, so as to transport the bait to the deep-water cage 10 meters underwater. The bait is evenly dispersed in conveying water body.

Abstract: Systems and methods are provided systems and methods for driver training that modulate driver-training feedback on the fly based on a driver's ability to successfully perform vehicular maneuvers. In examples, sensor data is received from sensors on a vehicle. The sensor data is indicative of operation conditions of the vehicle executing a vehicular maneuver. An attribute of driver-training feedback can be adjusted based on a comparison of the operating conditions to a set of performance criteria associated with the vehicular maneuver that are representative of a successful execution of the vehicular maneuver.

Abstract: An image encoding method according to the present disclosure may include performing a low gradational conversion for an original depth image of a first bit depth to generate a first depth image of a second bit depth; and encoding the first depth image through a color image of a third bit depth. In this case, the third bit depth may be smaller than the second bit depth.

Abstract: Disclosed herein are a compiler-based deep learning model pruning apparatus and method. The compiler-based deep learning model pruning method includes extracting multiple subgraphs from a first deep learning model, generating programs representing respective tasks allocated to the extracted multiple subgraphs, compiling the first deep learning model based on selected programs and measuring execution times of tasks of the first deep learning model on respective devices, and creating a second deep learning model by pruning a subgraph corresponding to at least one task selected from among the tasks from the first deep learning model based on the execution times on the respective devices.

Abstract: Disclosed herein is a method for transmitting, by a terminal, a sounding reference signal (SRS). The terminal receives a grant for uplink multiple subframes from a base station. The terminal determines a first subframe for an SRS transmission of the terminal among the uplink multiple subframes on the basis of SRS transmission position information received from the base station. Further, the terminal transmits the SRS in the first subframe.

Abstract: Provided is an encoding apparatus for integrally encoding and decoding a speech signal and a audio signal, and may include: an input signal analyzer to analyze a characteristic of an input signal; a stereo encoder to down mix the input signal to a mono signal when the input signal is a stereo signal, and to extract stereo sound image information; a frequency band expander to expand a frequency band of the input signal; a sampling rate converter to convert a sampling rate; a speech signal encoder to encode the input signal using a speech encoding module when the input signal is a speech characteristics signal; a audio signal encoder to encode the input signal using a audio encoding module when the input signal is a audio characteristic signal; and a bitstream generator to generate a bitstream.