Abstract: A computer-implemented method for generating spatial audio with uniform reverberation in a real-time communication session is performed by a real-time communication software application running on an electronic communication device. The method includes removing the reverberation of recorded speech signals from far-end participants by the dereverberation approach, rendering the direct sound parts by filtering the output signals by head-related transfer functions of desired directions, generating reverberant sound parts by convolving the output signals from with uniform room impulse responses or an artificial reverberator, combining direct and reverberant sound components to generate spatialized speech signals. When speakers and listeners are located in two virtual conference rooms, the reverberation of the two rooms are coupled. The reverberant sound parts are then generated by convolving the output signals and coupled RIRs from the two rooms.

Abstract: The present disclosure provides a hammock including a hammock cloth body and a mattress. The hammock cloth body is configured to support the mattress. The mattress includes a first mattress and a second mattress that are connected to each other. The first mattress is foldable relative to the second mattress. A side of the hammock cloth body is provided with a pocket portion with an accommodation space. When the first mattress is folded and the pocket portion is connected to the first mattress, the accommodation space of the pocket portion is unfolded to form a storage space. The present disclosure further provides a crib including the above hammock.

Abstract: A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E) includes constructing a product kansei evaluation vector matrix through original kansei adjectives; performing dimensionality reduction through PCA; and determining, based on principal component load factors, kansei adjectives representing principal components. In this way, the kansei adjectives extracted are explanatory to help users understand the selected kansei adjectives and make accurate evaluation.

Abstract: A method for constructing a design concept generation network (DCGN) and a method for automatically generating a conceptual scheme are provided. A DCGN includes a Transformer encoder, a Transformer decoder, an importance constraint matrix generation module, an importance constraint embedding layer, a cross-attention (CA) layer, and an optimization module. A word importance constraint is ingeniously introduced based on an attention mechanism of a Transformer to record input word constraint information contained in a generated text sequence. This can effectively ensure the reliability and effectiveness of a generated conceptual scheme and is conducive to capturing potential semantic importance information and implementing semantic knowledge reasoning.

Abstract: A baby stroller and a lateral seat cover portion thereof are provided. The lateral seat cover portion of a baby stroller includes a fabric bag including an inner side fabric and an outer side fabric opposite to each other, a foldable plate wrapped in the fabric bag and located between the inner side fabric and the outer side fabric, and an auxiliary device. The foldable plate includes a first plate and a second plate pivotally connected, when a frame of the baby stroller in an unfolded state, the foldable plate is in an unfolded state. When the frame of the baby stroller is folded, the auxiliary device enables an outer side of the first plate and an outer side of the second plate to approach each other, thereby switching the foldable plate from the unfolded state to a folded state.

Abstract: A display substrate and a display device are provided. In the display substrate, the display sub-pixel is located in a display region, the display sub-pixel and includes a first display sub-pixel, a second display sub-pixel, a third display sub-pixel, and a fourth display sub-pixel that emit light of colors different from each other; the dummy sub-pixel is located in a periphery region, the periphery region includes a dummy region and an edge region, the dummy sub-pixel is located in the dummy region of the periphery region, the dummy sub-pixel includes a first dummy sub-pixel, a second dummy sub-pixel, a third dummy sub-pixel, and a fourth dummy sub-pixel; and the display substrate further includes a spacer including a plurality of first spacers and a plurality of second spacers, the plurality of first spacers are located in the periphery region, the plurality of second spacers are located in the display region.

Abstract: A bi-directional spatial-temporal transformer neural network (BDSTT) is trained to predict original coordinates of a skeletal joint in a specific frame through relative relationships of the skeletal joint to other joints and to the state of the skeletal joint in other frames. Obtain a plurality of frames comprising coordinates of the skeletal joint and coordinates of other joints. Produce a spatially masked frame by masking the original coordinates of the skeletal joint. Provide the specific frame, the spatially masked frame, and at least one more frame to a coordinate prediction head of the BDSTT. Obtain, from the coordinate prediction head, a prediction of coordinates for the skeletal joint. Adjust parameters of the BDSTT until a mean-squared error, between the prediction of coordinates for the skeletal joint and the original coordinates of the skeletal joint, converges.

Abstract: A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E) includes constructing a product kansei evaluation vector matrix through original kansei adjectives; performing dimensionality reduction through PCA; and determining, based on principal component load factors, kansei adjectives representing principal components. In this way, the kansei adjectives extracted are explanatory to help users understand the selected kansei adjectives and make accurate evaluation.

Abstract: A two-step door opening mechanism for an oven is provided. A mechanical button and an electronic button are provided, the oven defining an oven cavity openable and closable by an oven door. A controller is provided. A digital valve, comprising a shaft configured to slide laterally between a first, unlocked position in which the shaft allows inward movement of the mechanical button and a second, locked position in which the shaft blocks the inward movement of the mechanical button. The electronic button, once actuated, is operable to cause the controller to direct the digital valve to move the shaft from the second, locked position into the first, unlocked position to unlock the mechanical button, and the mechanical button, once actuated, is operable to open the door when the shaft is in the first, unlocked position.

Abstract: A pump light source includes a light emitting unit, a mode converter, and an optical interface unit. The light emitting unit is configured to output multi-mode pump light. The mode converter is configured to convert the multi-mode pump light output by the light emitting unit into a plurality of channels of single-mode pump light and output the plurality of channels of single-mode pump light. The optical interface unit is connected to an optical amplifier via an optical transmission medium to provide at least one channel of single-mode pump light in the plurality of channels of single-mode pump light for a corresponding optical amplifier via the optical transmission medium.

Abstract: An output layer is removed from a pre-trained neural network model and a neural capacitance probe unit with multiple layers is incorporated on top of one or more bottom layers of the pre-trained neural network model. The neural capacitance probe unit is randomly initialized and a modified neural network model is trained by fine-tuning the one or more bottom layers on a target dataset for a maximum number of epochs, the modified neural network model comprising the neural capacitance probe unit incorporated with multiple layers on top of the one or more bottom layers of the pre-trained neural network model. An adjacency matrix is obtained from the initialized neural capacitance probe unit and a neural capacitance metric is computed using the adjacency matrix. An active model is selected using the neural capacitance metric and a machine learning system is configured using the active model.

Abstract: A child carrier includes: a seat portion; a buckle movably provided on the seat portion; a backrest portion connected to the seat portion and extending upward, the backrest portion having a plurality of adjustment holes formed therein from bottom to top; and a shoulder strap having a fixed end and a free end, the fixed end being fixed on a rear side of the backrest portion, the free end passing through one of the plurality of adjustment holes and being removably connected to the seat portion.

Abstract: A radiating element may have a dipole arm that may include a first conductive circuit loop and a second conductive circuit loop. The first conductive circuit loop may include at least one narrow conductive segment and at least one wide conductive segment, and the narrow conductive segment may present high impedance characteristics in at least one frequency band outside the operating frequency band of the radiating element to suppress at least partially the current in the at least one frequency band. A base station antenna may include a feed board and the radiating element mounted on the feed board.

Abstract: A vehicle light signal detection and recognition method, system, and computer program product include bounding, using a coarse attention module, one or more regions of an image of an automobile including at least one of a brake light and a signal light generated by automobile signals which include illuminated sections to generate one or more bounded region, removing, using a fine attention module, noise from the one or more bounded regions to generate one or more noise-free bounded regions, and identifying the at least one of the brake light and the signal light from the one or more noise-free bounded regions.

Abstract: A network device obtains computing power information indicating computing power of a compute node corresponding to the network device. The network device generates an application-layer traffic optimization ALTO message that carries the computing power information. The network device sends the ALTO message to a second network device based on an ALTO protocol. This method can improve resource and network utilization and improve user experience.

Abstract: Base station antennas include at least one internal grid reflector with a feed board aperture covered by a feed board and that is configured to transmit RF energy from an array of mMIMO radiating elements through the grid reflector and out a front radome of the base station antenna while reflecting RF energy from low band and/or mid band radiating elements in a different frequency band(s) from the mMIMO radiating elements.

Abstract: A seatbelt adjusting structure, a child carrier comprising the seat belt adjusting structure, and a child safety seat. The seat belt adjusting structure is suitable for adjusting the position of a seatbelt of the child carrier corresponding to the shoulder of a child, the seatbelt adjusting structure comprises a supporting member movably arranged on the child carrier, the supporting member is provided with a plurality of rows of adjusting parts which are arranged at different heights and are used for accommodating the seat belt, and the position of the seat belt corresponding to the shoulder of the child is adjusted by means of the movement of the supporting member in combination with the cooperation between the seat belt and the adjusting parts arranged at different heights. An opening part used for adjusting the seat belt can be further formed on the supporting member.

Abstract: A computer-implemented method for suppressing noise from audio signal uses both statistical noise estimation and neural network noise estimation to achieve more desirable noise reduction. The method is performed by a noise suppression computer software application running on an electronic device. The noise suppression computer software application first transforms the speech signal in time domain into frequency domain before determining a statistical noise estimate and a neural network noise estimate. The noise suppression computer software application merges the two noise estimates to derive a final noise estimate, and determines and refines a noise suppression filter. The filter is applied to the speech signal in frequency domain to obtain an enhanced signal. The enhanced signal is transformed back into time domain.

Abstract: Radiating elements include a conductive patch having first and second slots that each extend along a first axis and third and fourth slots that each extend along a second axis that is perpendicular to the first axis, a feed network that includes first through fourth feed lines, each feed line crossing a respective one of the first through fourth slots, and a conductive ring that at least partially surrounds the periphery of the conductive patch and that encloses each of the first through fourth slots.

Abstract: A radiating element for an antenna comprises at least one radiating arm having a first electrically conductive arm segment extending in a first direction and a second electrically conductive arm segment extending in a second direction and electrically connected to the first arm segment.