Abstract: Embodiments of the present disclosure provide a data processing method, a controller, a storage device, and a storage system. The controller adds an execution time of an IO request to the IO request, and the execution time is used to instruct the storage device to complete the IO request before the execution time expires. The controller sends, to the storage device, the IO request to which the execution time is added. When receiving the IO request, the storage device can execute the IO request based on the execution time of the IO request.

Abstract: The present disclosure provides method and system for voice separation based on DUET algorithm, and the method comprises receiving signals from microphones; performing a Fourier transform on the received signals; calculating a relative attenuation parameter and a relative delay parameter for each data point; selecting a clustering range for the relative delay parameters based on a distance between the microphones and a sampling frequency of the microphones, clustering the data points within the clustering range for the relative delay parameters into subsets, and performing an inverse Fourier transform on each subsets. According to the present disclosure, it is possible to provide an efficient and intelligent solution to deploy DUET on the software and/or hardware.

Abstract: Aspects disclosed herein generally related to a method and system for efficient blind source separation using a topological approach. The method and system comprise locating and separating the audio streams by constructing and simplifying contour tree in a built time-frequency smooth weighted histogram in the subsystems included. Thus, in one example, the audio streams can be separated and reproduced in a faster, more reliability, higher quality and more robust way.

Abstract: Aspects disclosed herein generally relate to a method and a system for improving voice separation by eliminating overlaps or overlapping points. The time-frequency points from the two recorded mixtures are separated by using a Degenerate unmixing estimation technique (DUET) algorithm. The method or system further eliminates the overlapping time-frequency points which belongs to neither of the original resources of sounds.

Abstract: A method and a system for speech enhancement including a time synchronization unit configured to synchronize microphone signals sent from at least two microphones; a source separation unit configured to separate the synchronized microphone signals and output a separated speech signal, which corresponds to a speech source; and a noise reduction unit including a feature extraction unit configured to extract a speech feature of the separated speech signal and a neural network configured to receive the speech feature and output a clean speech feature.

Abstract: An in-vehicle computing system and method that extracts driving intention data, driving capability data, and a driving mode data from one or more vehicle systems including an autonomous driving system. Autonomous driving information is derived from the extracted data. A message frame is created to include the autonomous driving information and sent to a V2X system.

Abstract: Methods and devices for conducting, based on a clock difference, a synchronization process on voice information collected by a plurality of voice collection devices. Then, after the synchronization process is performed on the voice information collected by the plurality of voice collection devices, conducting a voice separation and recognition process on voice information that was collected by the plurality of voice collection devices and synchronized based on the clock difference among the plurality of voice collection devices.

Abstract: A device for virtualizing a driving environment surrounding a first node, which includes: a data acquisition device, configured to acquire position data of the first node, position data and sensing data of at least one second node, where the at least one second node and the first node are in a first communication network; and a scene construction device, configured to construct a scene virtualizing the driving environment surrounding the first node based on the position data of the fist node and the at least one second node, and on the sensing data of the at least one second node. Accordingly, by utilizing position data and sensor data of a node, a scene for virtualizing a driving environment can be constructed in real time for a driver, which improves driving safety.

Abstract: An in-vehicle computing system and method that extracts driving intention data, driving capability data, and a driving mode data from one or more vehicle systems including an autonomous driving system. Autonomous driving information is derived from the extracted data. A message frame is created to include the autonomous driving information and sent to a V2X system.

Abstract: A vehicle identification method and system are provided. The method includes: identifying a first vehicle to be a second vehicle based on a first group of data and a second group of data, the first group of data representing information of the first vehicle obtained through at least one sensor, and the second group of data representing information received from the second vehicle through an inter-vehicle communication network. By the method, an identity of the first vehicle in the inter-vehicle communication network can be known, the first group of data may be used to check the accuracy of the second group of data, and the second vehicle may be still tracked even if it is out of sight of the at least one sensor.

Abstract: An in-vehicle computing system and method that extracts driving intention data, driving capability data, and a driving mode data from one or more vehicle systems including an autonomous driving system. Autonomous driving information is derived from the extracted data. A message frame is created to include the autonomous driving information and sent to a V2X system.

Abstract: The present disclosure provides method and system for voice separation based on DUET algorithm, and the method comprises receiving signals from microphones; performing a Fourier transform on the received signals; calculating a relative attenuation parameter and a relative delay parameter for each data point; selecting a clustering range for the relative delay parameters based on a distance between the microphones and a sampling frequency of the microphones, clustering the data points within the clustering range for the relative delay parameters into subsets, and performing an inverse Fourier transform on each subsets. According to the present disclosure, it is possible to provide an efficient and intelligent solution to deploy DUET on the software and/or hardware.

Abstract: A communication method and system for reducing computational overhead by obtaining N native data packets; obtaining M linearly independent coefficient vectors; encoding the N native data packets using the M linearly independent coefficient vectors respectively, to obtain M encoded data packets; and sending, through a network, at least one of the N native data packets and the M encoded data packets together, where N?1 and M?1.

Abstract: A vehicle identification method and system are provided. The method includes: identifying a first vehicle to be a second vehicle based on a first group of data and a second group of data, the first group of data representing information of the first vehicle obtained through at least one sensor, and the second group of data representing information received from the second vehicle through an inter-vehicle communication network. By the method, an identity of the first vehicle in the inter-vehicle communication network can be known, the first group of data may be used to check the accuracy of the second group of data, and the second vehicle may be still tracked even if it is out of sight of the at least one sensor.

Abstract: A device for virtualizing a driving environment surrounding a first node, which includes: a data acquisition device, configured to acquire position data of the first node, position data and sensing data of at least one second node, where the at least one second node and the first node are in a first communication network; and a scene construction device, configured to construct a scene virtualizing the driving environment surrounding the first node based on the position data of the fist node and the at least one second node, and on the sensing data of the at least one second node. Accordingly, by utilizing position data and sensor data of a node, a scene for virtualizing a driving environment can be constructed in real time for a driver, which improves driving safety.

Abstract: A method and a system for speech enhancement including a time synchronization unit configured to synchronize microphone signals sent from at least two microphones; a source separation unit configured to separate the synchronized microphone signals and output a separated speech signal, which corresponds to a speech source; and a noise reduction unit including a feature extraction unit configured to extract a speech feature of the separated speech signal and a neural network configured to receive the speech feature and output a clean speech feature.

Abstract: A method for communicating messages in a channel of a wireless communication network is provided. In the channel, successive cycles, each of which including a predetermined number of successive time slots, are defined. The method may include: a first node obtaining a first list of its neighboring nodes before a first qth time slot; broadcasting a first message in the first qth time slot; receiving acknowledge information from other nodes within the network for one cycle after the first qth time slot; obtaining a second list of its neighboring nodes after the first qth time slot; and determining whether qth time slots are proper for communicating messages by the first node by checking whether all nodes on both the first and the second lists have received the first message based on the received acknowledge information, each piece of which indicates whether a corresponding node has received the first message.

Abstract: A method and device for voice recognition are provided. The method for voice recognition includes: receiving voice information collected by a plurality of voice collection devices configured on a plurality of devices connected together, wherein the plurality of devices comprises at least one mobile device; and conducting a voice separation and recognition process on the voice information collected by the plurality of voice collection devices. The device for voice recognition includes: a processor, configured to: obtain a clock difference among a plurality of devices connected together, where each of the plurality of devices is configured with a voice collection device; obtain voice information collected by the voice collection device configured on the each of the plurality of voice collection devices; and conduct a voice separation and recognition process on voice information collected by the voice collection device based on the clock difference among the among a plurality of devices.

Abstract: A method for extracting a message from a received signal frame is provided. The method includes: receiving a signal frame having N parts which are modulated with different power levels, where N is an integer equal to or greater than 2; demodulating and decoding the received signal frame to obtain N bit sequences which correspond to the N parts respectively; and forming a message based on the N bit sequences and a partition scheme according to which the message is partitioned into N message parts corresponding to the N bit sequences respectively.

Abstract: A communication method and system for reducing computational overhead by obtaining N native data packets; encoding the N native data packets into M encoded data packets using M linearly independent coefficient vectors respectively, where the M linearly independent coefficient vectors are selected from a look up table based on N and M; and sending, through a network, the M encoded data packets, where N?1 and M?1.