Abstract: Disclosed are a neural network model update method and device, and a computer storage medium. The method includes: randomly generating a preset number of sub-neural network models as nodes in a blockchain; using a ring signature to share a local data set in the blockchain, and uniformly dividing a data set in the blockchain to generate a training set and a test set; training each node through the training set to generate a trained model, packaging the trained model as a model transaction and sharing the model transaction in the blockchain; using the test set selected by voting to test the model transaction and generating a test result; when the test result is greater than a benchmark evaluation, taking the sub-neural network model corresponding to the test result as a valid vote; and voting a previous block corresponding to the valid vote, selecting a consistent block, and updating all nodes.

Abstract: The present application discloses a traffic light control method for an urban road network based on expected return estimation, which uses C-V2X wireless communication technology to obtain real-time information of all vehicles and traffic state in the road network from vehicle-mounted terminals, and adaptively and dynamically controls the phase transformation of the traffic light. According to the present application, the expected returns of keeping the current phase and executing phase switch are calculated by estimating the timely driving distance and the future driving distance of the passable vehicles in the next green light duration in combination with the proposed road priority traffic index. By comparing the expected returns of keeping the current phase or switching to other phases, the best phase is selected, so as to make as many passable vehicles travel farther as possible in the next green light duration. Therefore, the efficiency of traffic will be improved.

Abstract: Disclosed are a data file distribution method and equipment, a smart device and a computer storage medium. The method includes the following operations: sorting data files according to an access frequency of each data file, a sorting mode including an ascending order or a descending order; dividing the data files into at least two data blocks according to a sorted order, numbers of data files in the at least two data blocks being equal; merging the data files in each of the at least two data blocks in pairs to update the data files; sorting the updated data files according to the access frequency of each data file until the numbers of the data files are equal to numbers of distributed nodes; and placing the data files on corresponding distributed nodes.

Abstract: Disclosed are a neural network model update method and device, and a computer storage medium. The method includes: randomly generating a preset number of sub-neural network models as nodes in a blockchain; using a ring signature to share a local data set in the blockchain, and uniformly dividing a data set in the blockchain to generate a training set and a test set; training each node through the training set to generate a trained model, packaging the trained model as a model transaction and sharing the model transaction in the blockchain; using the test set selected by voting to test the model transaction and generating a test result; when the test result is greater than a benchmark evaluation, taking the sub-neural network model corresponding to the test result as a valid vote; and voting a previous block corresponding to the valid vote, selecting a consistent block, and updating all nodes.

Abstract: A method for pairing a plurality of devices in the context of internet of things (IoT), including: connecting power supplies of the plurality of devices to a same power source, wherein the plurality of devices includes an initiator device and a responder device; synchronizing clocks of the initiator device and the responder device; switching the power source off and on for a plurality of times n; recording time stamps S(T)={T1, T2, T3, . . . Tn} corresponding to time stamps when the initiator device and the responder device switch off in response to switching off of the power source; and performing the pairing of the initiator device and the responder device if each of the initiator device time stamps is within a predefined delay tolerance of a corresponding time stamp of the responder device time stamps, otherwise rejecting the pairing of the initiator device and the responder device.

Abstract: A method for pairing a plurality of devices in the context of internet of things (IoT), including: connecting power supplies of the plurality of devices to a same power source, wherein the plurality of devices includes an initiator device and a responder device; synchronizing clocks of the initiator device and the responder device; switching the power source off and on for a plurality of times n; recording time stamps S(T)={T1, T2, T3, . . . Tn} corresponding to time stamps when the initiator device and the responder device switch off in response to switching off of the power source; and performing the pairing of the initiator device and the responder device if each of the initiator device time stamps is within a predefined delay tolerance of a corresponding time stamp of the responder device time stamps, otherwise rejecting the pairing of the initiator device and the responder device.

Abstract: A method for processing a data request is performed by an access device, and includes receiving, from a user terminal, the data request including data information of target data, obtaining the data information from the data request, searching for a storage device identifier and first authentication information, based on the data information, and sending the first authentication information and the data information, to a storage device corresponding to the storage device identifier, to enable the storage device to perform authentication on the first authentication information, and to enable the storage device to, in response to the authentication succeeding, obtain the target data indicated by the data information. The method further includes receiving, from the storage device, the target data, and sending the target data to the user terminal, to respond to the data request.

Abstract: A method, an apparatus, and a computer program product for remote authentication are disclosed. The methods are based on exchanging of signals representing remote party's biometrics information (such as acoustic waveforms) and have application in secure telephony or video-conferencing communications over open networks. The apparatus includes a speech encoding/decoding module (632), a control module (636), an encryption/decryption module (640), a key generator (650), a Diffie Hellman key exchange system (660), a timer module (670) for measuring time between a challenged statement and a corresponding response statement, an input/output (I/O) module (680) for transmitting and receiving data via a communications channel 610.