Abstract: The application discloses a cooling plate assembly, a liquid cooling module and a battery pack, which include a connector and two groups of cooling pipe assemblies, each group of cooling flow channels includes a first flow channel and a second flow channel penetrating along a first direction and the connector is provided with a third flow channel and a fourth flow channel penetrating along a second direction, wherein the first flow channel is communicated with the third flow channel, and the second flow channel is communicated with the fourth flow channel; the two groups of cooling pipe assemblies are respectively communicated with the first flow channel and the second flow channel on the same side of the connector; between the third flow channel and the fourth flow channel, one is set as liquid inlet and the other is set as liquid outlet.

Abstract: Disclosed is an optimizing method for multi-source municipal solid waste combinations based on machine learning, including obtaining relevant property data, classifying the feature variables and obtaining a raw materials pre-combination from the classified feature variables according to a classification ratio, followed by cooperative combustion treatment to obtain data after combustion, summarizing the obtained data into a database, constructing a matrix of raw material components, operating conditions and pollutant distribution according to the database, obtaining matrix data; performing principal component analysis on the matrix data, constructing an information processing model, obtaining a data set of samples; carrying out training according to the data set to construct a relational model, obtaining processed parameters; training the obtained processed parameters to construct a regression module, an optimal parameter, and performing regression calculation using the optimal parameter together with the matr

Abstract: A method and apparatus for controlling game applications are provided. In the method, when an operating system receives a game starting command, the operating system determines a manner to start a corresponding game application according to whether the game application has resided in a memory, and when a cold boot manner is used, the operating system triggers the game application to report an amount of memory required currently by the game application, and determines whether a requirement of running the game application is met according to the amount of memory required and an amount of memory currently used, or the operating system ensures to meet the requirement of running the game application through background application freezing and clearing.

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: A server may obtain teacher artificial intelligence (AI) models from source base stations; obtain target traffic data from a target base station; obtain an integrated teacher prediction based on the target traffic data by integrating teacher prediction results of the teacher AI models based on teacher importance weights; obtain a student AI model that is trained to converge a student loss on the target traffic data; update the teacher importance weights to converge a teacher loss between a student prediction of the student AI model on the target traffic data, and the integrated teacher prediction of the teacher AI models on the target traffic data; update the student AI model based on the updated teacher importance weights being applied to the teacher prediction results of the teacher AI models; and predict a communication traffic load of the target base station using the updated student AI model.

Abstract: A Heisenberg scaler reduces noise in quantum metrology and includes: a stimulus source that provides physical stimuli; a physical system including quantum sensors that receive a first and second physical stimuli; produces a measured action parameter; receives an perturbation pulse; and produces modal amplitude; an estimation machine that: receives the measured action parameter and produces a zeroth-order value from the measured action parameter; a gradient analyzer that: receives the measured action parameter and produces the measured action parameter and a gradient; the sensor interrogation unit that: receives the modal amplitude; receives the gradient and the measured action parameter; produces the perturbation pulse; and produces a first-order value from the modal amplitude, the gradient, and the measured action parameter; a Heisenberg determination machine that: receives the zeroth-order value; receives the first-order value; and produces a physical scalar from the zeroth-order value and the first-order v

Abstract: An image sensor has a plurality of pixels arranged in a row direction and in a column direction. Each pixel comprises a color filter that has a portion with a low transmissivity and a portion with a high transmissivity, and a photoelectric conversion element that includes a first photoelectric conversion cell which receives light transmitting through the portion with the low transmissivity of the color filter, and a second photoelectric conversion cell which receives light transmitting through the portion with the high transmissivity of the color filter. The plurality of pixels are arranged such that positions of the portions with the low transmissivity for pixels of one color are identical among the plurality of pixels, and the portions with the low transmissivity are positioned adjacent to each other between adjacent pixels of different colors in the row direction only.

Abstract: Example vehicle unlocking methods and apparatus are described. In one example method, wakeup keyword detection is performed on an obtained voice signal. If the voice signal includes a wakeup keyword, an acoustic source direction is determined, and a target camera is indicated to collect image data. The target camera is a target camera that is installed on the vehicle and whose angle of view can ensure that the acoustic source direction is captured. Then, the vehicle is unlocked based on the image data collected by the target camera.

Abstract: A three-dimensional force loading device for a motor spindle is provided, and relates to the field of motor spindle testing. The device including a bottom plate; a torque loading assembly configured for testing torque performance of the motor spindle, and the torque loading assembly is in transmission connection with the motor spindle; a sleeve shell rotatably sleeved on the motor spindle, the sleeve shell is fixed along an axis direction of the motor spindle; a radial force loading assembly configured for testing radial force performance of the motor spindle, and the radial force loading assembly is fixedly connected with the sleeve shell; an axial force loading assembly configured for testing axial force performance of the motor spindle; and a intermediate force transmission mechanism connected with the sleeve shell and the axial force loading assembly.

Abstract: CMOS image sensor with LED flickering reduction and low color cross-talk are disclosed. In one embodiment, an image sensor includes a plurality of pixels arranged in rows and columns of a pixel array that is disposed in a semiconductor substrate. Each pixel includes a plurality of large subpixels (LPDs) and at least one small subpixel (SPD). A plurality of color filters are disposed over individual subpixels. Each individual SPD is laterally adjacent to at least one other SPD.

Abstract: CMOS image sensor with multiple sensitivities for high dynamic range imaging and LED flicker mitigation. In one embodiment, an image sensor includes a plurality of pixels arranged in rows and columns of a pixel array that is disposed in a semiconductor substrate. Each pixel includes a plurality of cells. A plurality of color filters is disposed over corresponding plurality of cells. The plurality of color filters corresponding to the plurality of cells of an individual pixel have more than one filtering strength for each color of the plurality of color filters.

Abstract: Computer-implemented techniques for learning composite machine learned models are disclosed. Benefits to implementors of the disclosed techniques include allowing non-machine learning experts to use the techniques for learning a composite machine learned model based on a learning dataset, reducing or eliminating the explorative trial and error process of manually tuning architectural parameters and hyperparameters, and reducing the computing resource requirements and model learning time for learning composite machine learned models. The techniques improve the operation of distributed learning computing systems by reducing or eliminating straggler effects and by reducing or minimizing synchronization latency when executing a composite model search algorithm for learning a composite machine learned model.

Abstract: A method is provided. The method includes receiving a first dimension set, extracting a first latent feature set from the first dimension set, training a first base predictor based on the first feature set, generating a second dimension set based on the first dimension set, the second dimension set having fewer dimensions than the first dimension set, extracting a second latent feature set from the second dimension set, training a second base predictor based on the second feature set, and generating a traffic prediction based on the first base predictor and the second base predictor.

Abstract: A gas meter reading system based on national cryptographic algorithm and gas data transmission method thereof. The system includes: an information acquisition device, central information processor, national cryptographic algorithm module, receiving terminal. The method includes: collecting gas data; generating meter reading data; encrypting meter reading data; generating first ciphertext; encrypting first abstract of first ciphertext; generating first abstract ciphertext; sending first ciphertext and first abstract ciphertext to receiving terminal; decrypting first abstract ciphertext to obtain first abstract, recalculating abstract of first ciphertext to obtain second abstract, decrypting first ciphertext to obtain meter reading data after second abstract matches with first abstract.

Abstract: A 5G-based Internet of Things device access method and system, and storage medium. Method includes steps that IoT access platform generates authentication identification of to-be-accessed IoT device according to device identification of to-be-accessed IoT device, and carries out identity authentication of to-be-accessed IoT device through authentication identification, and identity authentication result is sent to to-be-accessed IoT device so when identity authentication result received by to-be-accessed IoT device is that identity authentication is passed, to-be-accessed IoT device accesses IoT access platform and performs encrypted data communication. Method is advantaged in that legal identity of to-be-accessed IoT equipment is verified by taking equipment fingerprint as authentication identifier, and data integrity of to-be-accessed IoT equipment is ensured through access authentication, so illegal terminal is prevented from accessing IoT access platform, and security of data transmission is improved.

Abstract: A vascular stent, which includes: a stent body including a plurality of ring-shaped units arranged at intervals and a connecting portion connecting all the ring-shaped units into a tubular structure, wherein the tubular structure has a first covered segment and a second covered segment that are provided with membrane, and an exposed segment configured for engaging the first covered segment and the second covered segment. The vascular stent is reliable in installation, which is beneficial to reduce pre-operation and post-operation adjustment work. The stent system can realize the reliable installation of the vascular stent, which is beneficial to improve the quality of the operation and reduce the operation time.

Abstract: Systems and methods determine optimized hyperparameter values for one or more machine-learning models. A sample training data set from a larger corpus of training data is obtained. Initial hyperparameter values are then randomly selected. Using the sample training data set and the randomly chosen hyperparameter values, an initial set of performance metric values are obtained. Maximized hyperparameter values are then determined from the initial set of hyperparameter values based on the corresponding performance metric value. A larger corpus of training data is then evaluated using the maximized hyperparameter values and the corresponding machine-learning model, which yields another corresponding set of performance metric values. The maximized hyperparameter values and their corresponding set of performance metric values are then merged with the prior set of hyperparameter values.

Abstract: A passenger state analysis method and apparatus, a vehicle, an electronic device and a storage medium. The method includes: obtaining a video stream of a rear seat area in a vehicle; performing face and/or body detection on at least one image frame in the video stream; determining state information of a passenger in the rear seat area according to a face and/or body detection result; and in response to the fact that the state information of the passenger satisfies a predetermined condition, outputting prompt information to a driver area or a specified device in the vehicle.

Abstract: A gasflow distribution device includes an outer pipe, a gland, a filter screen, and a filling block with a pore structure. The outer pipe is a hollow outer pipe, used for placing the filling block, with an open upper end and a lower end with a bottom of which the center part is provided with a bottom hole, wherein the filling block is sealed to an inner wall of the outer pipe. The gland has a bottom end provided with a circular groove for setting the filter screen, and a top end distributed evenly with a plurality of top holes through the gland. The gland is connected to the outer pipe. The device can distribute gasflow proportionally, and can be used for separate-layer gas injection.