Abstract: Disclosed is a method for preparing hydrogen-rich fuel gas, including adding aluminum smelting waste residues into medium strong acid and soaking for 2-4 h, filtering and baking an obtained precipitate at 300-400° C. for 3-6 h to obtain pre-treated aluminum smelting waste residues; adding the waste residues into weak acid and performing ultrasonic treatment, performing centrifugal separation on an aluminum ash solution, baking for 3-6 h at a constant temperature of 400-500° C. in an air atmosphere, and naturally cooling to room temperature to obtain a cracking catalyst; uniformly mixing the cracking catalyst and biomass with a mass ratio of 1:1 and adding into a first-stage pyrolyzing furnace under N2 atmosphere, and heating from room temperature to 500-900° C. to obtain first-stage pyrolysis gas; and entering the first-stage pyrolysis gas into a second-stage pyrolyzing furnace for secondary catalytic cracking, so as to obtain hydrogen-rich fuel gas.

Abstract: A spectral clustering method and system based on unified anchor and subspace learning is provided. The spectral clustering method based on unified anchor and subspace learning includes: S1: acquiring a clustering task and a target data sample; S2: performing unified anchor learning on multi-view data corresponding to the acquired clustering task and the acquired target data sample, and adaptively constructing an objective function corresponding to an anchor graph according to a learned unified anchor; S3: optimizing the constructed objective function by using an alternating optimization method to obtain an optimized unified anchor graph; and S4: performing spectral clustering on the obtained optimized unified anchor graph to obtain a final clustering result.

Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: A multi-view clustering method and system based on matrix decomposition and multi-partition alignment are provided.

Abstract: A citation network graph representation learning system and method based on multi-view contrastive learning is provided. The citation network graph representation learning system involved in the present application comprises: a sample construction module, which is configured to construct a corresponding negative sample based on an original graph; a graph enhancement module, which is configured to obtain a positive sample graph and a negative sample graph; a fusion module, which is configured to obtain a consensus representation of the positive sample graph and the negative sample graph by means of a cross view concentration fusion layer; a mutual information estimation module, which is configured to compare learning representations of positive sample pairs and negative sample pairs by means of a discriminator; and a hard sample mining module, which is configured to represent the consistency between the negative sample pairs according to a pre-calculated affinity vector, and select and reserve nodes.

Abstract: The present invention discloses a smart watch, including a housing with a mounting cavity, a top cover that covers the housing, a movement in the mounting cavity, a watch dial for displaying time, a light emitting module, a shake sensing module, a tap sensing module, and an audio player. The light emitting module is configured to be turned on when the shake sensing module senses that the smart watch is shaken and turned off when the tap sensing module senses that the smart watch is tapped. The audio player is configured to be started when the smart watch is tapped or shaken. According to the present invention, when needing to turn on the light emitting module, a user only needs to shake the smart watch worn on his/her wrist, and when needing to turn off the light emitting module, the user only needs to tap the smart watch with his/her hand. Compared with the way of turning on the light emitting module by pressing a physical button, the smart watch is simpler and more convenient in operation.

Abstract: A two-way soil clearing device for single-ridge grapevine and a construction machine for mounting the device, comprising a frame part, a soil clearing mechanism, a distance measuring sensor, an expansion and contraction device and a control unit; the frame comprises a left side frame and a right side frame; the left side frame and the right side frame are provided with a soil clearing mechanism respectively and expansion and contraction devices; the distance measuring sensor is provided in front of the soil clearing mechanism; and the control unit is respectively connected with the distance measuring sensor and the expansion and contraction device. The present invention can flexibly remove the covering soil between the piles of the grapevine and the covering soil at the side of the grapevine at one time, and can operate on both sides of the same soil ridge at the same time during work.

Abstract: In one embodiment, a method includes training a target machine-learning model iteratively by accessing training data of content objects, training an intermediate machine-learning model that outputs contextual evaluation measurements based on the training data, generating state-indications associated with the training data, wherein the state-indications comprise user-intents, system actions, and user actions, training the target machine-learning model based on the contextual evaluation measurements, the state-indications, and an action set comprising possible system actions, extracting rules based on the target machine-learning model by a sequential pattern-mining model, generating synthetic training data based on the rules, updating the training data by adding the synthetic training data to the training data, determining if a completion condition is reached for the training, and if the completion condition is reached returning the target machine-learning model, else repeating the iterative training of the tar

Abstract: In one embodiment, a method includes training a target machine-learning model iteratively by accessing training data of content objects, training an intermediate machine-learning model that outputs contextual evaluation measurements based on the training data, generating state-indications associated with the training data, wherein the state-indications comprise user-intents, system actions, and user actions, training the target machine-learning model based on the contextual evaluation measurements, the state-indications, and an action set comprising possible system actions, extracting rules based on the target machine-learning model by a sequential pattern-mining model, generating synthetic training data based on the rules, updating the training data by adding the synthetic training data to the training data, determining if a completion condition is reached for the training, and if the completion condition is reached returning the target machine-learning model, else repeating the iterative training of the tar

Abstract: The application discloses a method for managing food in a refrigerator, including the steps of recognizing the type and quantity of the food placed in the refrigerator according to an image shot by an external camera of the refrigerator; determining a position of the food placed in the refrigerator according to images shot by internal cameras of the refrigerator; generating an AR label for recording information of the food with regard to the food placed in the refrigerator; displaying the AR label of the inquired food after receiving a food query request from a user; wherein the information of the food at least includes the type, quantity and position of the food; and displaying the images shot by the internal cameras in real time after receiving an image viewing request from the user. With the adoption of the application, the food in the refrigerator can be managed more efficiently.

Abstract: The application discloses a method for managing food in a refrigerator, including the steps of recognizing the type and quantity of the food placed in the refrigerator according to an image shot by an external camera of the refrigerator; determining a position of the food placed in the refrigerator according to images shot by internal cameras of the refrigerator; generating an AR label for recording information of the food with regard to the food placed in the refrigerator; displaying the AR label of the inquired food after receiving a food query request from a user; wherein the information of the food at least includes the type, quantity and position of the food; and displaying the images shot by the internal cameras in real time after receiving an image viewing request from the user. With the adoption of the application, the food in the refrigerator can be managed more efficiently.

Abstract: A method for wastewater treatment in a bioreactor, comprises recycling organic sludge in the bioreactor to supply carbon sources for removing nitrogen and phosphor and increase organic loading of the reactor, and adjusting operational parameters for the bioreactor to form facultative-anaerobic environment or anaerobic environment in the bioreactor. By following the method of the present invention, recycling sludge and simultaneously removing nitrogen and phosphor are completed such that the treatment processes for wastewater disposal are simplified; the sludge is recycled as carbon sources in the bioreactor such that saving resources is realized and the carbon emission into atmosphere is reduced; and zero-amount sludge is discharged such that harm from secondary pollution is avoided.