Abstract: The present invention relates to the technical field of mine fire prevention and extinguishing, in particular to a liquid nitrogen direct injection and low-temperature foaming intelligent filling system based on mine fire area characteristics and an application method, comprising a liquid nitrogen storage tank, a liquid nitrogen direct injection system and a low-temperature foaming system, wherein the liquid nitrogen storage tank communicates with a liquid nitrogen pressurizing device through a main pipeline; a temperature control unit is arranged on the main pipeline; and the liquid nitrogen pressurizing device is connected with the liquid nitrogen direct injection system and the low-temperature foaming system, respectively, liquid nitrogen is directly injected into a foam liquid, to prepare a low-temperature foam type fire preventing and extinguishing material by means of forced convection, membrane boiling, explosion boiling and nucleate boiling between the liquid nitrogen and water.

Abstract: The present invention discloses a method for receiving scheduling information, comprising steps of: receiving Downlink Control Information (DCI); and determining, according to a mapping relationship between configured transmission resources used for a Physical Uplink Shared Channel (PUSCH) and scheduling information in the DCI, scheduling information corresponding to the PUSCH in the DCI. Compared with the prior art, in the present invention, the scheduling information in the DCI is determined by the mapping relationship between the configured transmission resources used for transmitting the PUSCH by a UE and the scheduling information in the DCI, so that a base station can schedule all UEs for which there is a mapping relationship between PUSCH configured transmission resources and the scheduling information in DCI by sending only one piece of DCI. The scheduling overhead is reduced, the resource waste is reduced, and the efficiency of scheduling terminals by a communication system is significantly improved.

Abstract: Techniques for using transfer learning to address label data shortage in seniority modeling for an online service are disclosed herein. In some embodiments, a computer-implemented method comprises training an initialized neural network using training examples comprising profile data and labels for the profile data, where each label comprises a standardized position title, and the training of the initialized neural network forms a pre-trained neural network. Next, the computer system may train the pre-trained neural network using training examples comprising profile data and labels for the profile data, where the labels comprise a position seniority, and the training of the pre-trained neural network forms a fine-tuned neural network. The computer system may then compute the position seniority for a user based on profile data of the user using the fine-tuned neural network, and use the position seniority of the user in an application of an online service.

Abstract: In certain aspects, a three-dimensional (3D) memory device includes channel structures in a first region and word line pick-up structures in a first portion of a second region. The first region and the second region are arranged in a first direction. The 3D memory device also includes word lines each extending in the first region and a second portion of the second region. The first portion and the second portion of the second region are arranged in a second direction perpendicular to the first direction. The 3D memory device also includes dummy channel structures in the second portion of the second region. Adjacent channel structures are spaced apart from each other by a first distance. Adjacent dummy channel structures are spaced apart from each other by a second distance that is smaller than the first distance.

Abstract: In certain aspects, a three-dimensional (3D) memory device includes channel structures in a first region, word line pick-up structures in a dielectric portion of a second region, and word lines each extending in the first region and a conductive portion of the second region. The first region and the second region are arranged in a first direction. The dielectric portion and the conductive portion of the second region are arranged in a second direction perpendicular to the first direction. The word lines are discontinuous in the dielectric portion of the second region and are electrically connected to the word line pick-up structures, respectively.

Abstract: In certain aspects, a method for forming a three-dimensional (3D) memory device is disclosed. A stack structure including interleaved first dielectric layers and second dielectric layers is formed. Channel structures extending through the first dielectric layers and the second dielectric layers in a first region of the stack structure are formed. All the second dielectric layers in the first region and parts of the second dielectric layers in a second region of the stack structure are replaced with conductive layers. Word line pick-up structures extending through the first dielectric layers and remainders of the second dielectric layers in the second region of the stack structure are formed at different depths, such that the word line pick-up structures are electrically connected to the conductive layers, respectively, in the second region of the stack structure.

Abstract: A location-aware electronic device is provided. The electronic device trains feature extraction layers, reconstruction layers, and classification layers. The training may be based on a reconstruction loss and/or a clustering loss. The electronic device processes a fingerprint to obtain an augmented fingerprint using randomization based on statistics of the fingerprint. The feature extraction layers provide feature data to both the reconstruction layers and the classification layers. The classification layers operate on the codes to obtain an estimated location label. An application processor operates on the estimated location label to provide a location-aware application result to a person.

Abstract: The present application relates to a pregabalin sustained release composition, comprising: (a) an active ingredient; (b) a matrix-forming agent; (c) a swelling agent; (d) a gelling agent; and optionally a filler. The pregabalin sustained release composition provided in the present application can rapidly swell in volume when exposed to aqueous medium until exceeding the dimeter of human gastric pyloric (13 mm). It thereby prolongs the gastric emptying time to increase the retention time of pregabalin in the stomach and enhances absorption of pregabalin in the small intestine and ascending colon. Moreover, the pregabalin sustained release composition provided herein achieves a sustained release for 24 h, which allows QD (once a day) administration, reduces administration number, and improves patient compliance.

Abstract: This application relates to a battery module, a device, and a failure handling method for a failed battery cell. The battery module includes: battery cells, where each battery cell includes a housing, a top cover, and an electrode assembly, the housing is connected to the top cover, the housing includes a first accommodation cavity, the electrode assembly is located inside the first accommodation cavity, the top cover is provided with a positive electrode terminal and a negative electrode terminal, and the battery cells further include a failed battery cell; and a conductive component, connected to the positive electrode terminal and the negative electrode terminal of the failed battery cell. After being connected to the electrode terminals, the conductive component does not occupy space outside the failed battery cell, improving safety of the battery module.

Abstract: A system and a method are disclosed for calculating correlations with different context lengths. In some embodiments, the system includes: a correlation engine; and a first input sample memory operatively coupled to the correlation engine, the correlation engine including a channel selection controller and being configured, under the control of the channel selection controller: to execute, during a first execution interval, a first channel, the first channel having a first context length; and to execute, during the first execution interval, a second channel, the second channel having a second context length, different from the first context length.

Abstract: A method of processing an image includes: acquiring a first image for a target object by using a first imaging method (S110); acquiring a second image for the target object by using a second imaging method (S120); constructing a first sub-image and a second sub-image based on the first image (S130); constructing a third sub-image and a fourth sub-image based on the second image (S140); and determining a pixel value distribution information of a fused image based on a pixel value distribution information of each of the first sub-image, the second sub-image, the third sub-image, and the fourth sub-image, so as to obtain the fused image (S150). An apparatus of processing an image, a computing device, and a computer-readable storage medium are further provided.

Abstract: Disclosed is a software PUF based on an RISC-V processor for IoT security. A 32-bit RISC-V processor is used to generate abnormal information results in an abnormal operating state under a low voltage, and the abnormal information results are used to represent the features of the 32-bit RISC-V processor; 5-bit binary data obtained by comparing the abnormal information results with normal information results has high randomness and uniqueness and it is extremely difficult to directly extract internal abnormal information result from a hardware circuit of the 32-bit RISC-V processor, so modeling attacks based on the 5-bit binary data calculated according to the abnormal information results of the 32-bit RISC-V processor are almost impossible; in addition, when the 32-bit RISC-V processor is in an abnormal operating state, the operating frequency of the 32-bit RISC-V processor is dynamically adjusted through a frequency compensation method.

Abstract: A wireless charging method, a receiver, a terminal device, and a charger are provided. A receiver (20) includes an oscillation circuit (210), a power processor (220), a sampling control module (230), and an auxiliary power supply module (240). In a ping phase, the oscillation circuit receives first energy sent by a transmitter (10), and the sampling control module collects a first voltage value output by the oscillation circuit based on the first energy, and when the first voltage value is less than a startup voltage value of the power processor, controls the auxiliary power supply module to supply power to the power processor, so that the power processor is started. In a power transfer phase, the power processor sends a power transfer instruction to the transmitter, so that the transmitter sends second energy based on the power transfer instruction, to provide electric energy for a load in the receiver.

Abstract: A large-scale network node simulation method based on Linux container is provided, which solves problems of low packet transmission efficiency and multi-thread creation in real-time simulation in a large-scale network scenario. The method includes: scheduling all container nodes in a scenario; managing, by a container node, a dynamic thread through an idle thread management queue, and setting a finite state machine and a function pointer for the dynamic thread; registering, by a source container node, an output queue with a next-hop container node, and informing the next-hop container node to allocate a dynamic thread for receiving and processing the output queue. Packet transmission is realized between the container nodes through data units created in a shared memory. The sending thread and the receiving thread dynamically adjust the number of dynamic threads by checking the state of the output queue.

Abstract: This application discloses a data processing method, applied to the field of artificial intelligence, including: obtaining to-be-processed data; and processing the to-be-processed data by using a trained neural network, to output a processing result. The neural network includes a feature extraction network and a classification network. The feature extraction network is configured to extract a feature vector expressed by the to-be-processed data in hyperbolic space. The classification network is configured to process the feature vector based on an operation rule of the hyperbolic space, to obtain the processing result. In this application, precision of processing by a model a data set including a tree-like hierarchical structure can be improved, and a quantity of model parameters can be reduced.

Abstract: A reliable multi-information entropy PUF for Internet of Things security includes a control circuit, a data register, 128 glitch generation circuits, a 128-to-1 multiplexer, and a Schmidt glitch sampling module. The control circuit controls the data register to generate a square signal, the 128 glitch generation circuits to generate glitch signals to be output and the 128-to-1 multiplexer to select the glitch signals to be output. The Schmidt glitch sampling module samples the glitch signals to obtain PUF response outputs. Each glitch generation circuit generates a glitch signal by means of a fully symmetrical structure. The Schmidt glitch sampling module comprises a first PMOS transistor, a second PMOS transistor, a third PMOS transistor, a fourth PMOS transistor, a first NMOS transistor, a second NMOS transistor, a third NMOS transistor, a fourth NMOS transistor, a buffer module and a D flip-flop.

Abstract: A system may be configured to: obtain, from a first product development entity, a first set of content; obtain, from a second product development entity different from the first product development entity, a second set of content different from the first set of content; generate a user interface (UI) template configured to be first-applied to the first set of content and second-applied to the second set of content; automatically test, via the first-applied template, functionality associated with the first set of content; determine that the functionality satisfies a criterion of the test; and cause presentation of a first preview of the successfully tested content.

Abstract: The present disclosure provides a tidal simulation test device and a method of use thereof. The tidal simulation test device includes a water supply pool, a water level adjustment pool, a subtidal zone simulation pool, an intertidal zone simulation pool, a supratidal zone simulation pool and a two-way water flow adjustment control box. The two-way water flow adjustment control box is provided therein with an electromagnetic flow control meter, a forward frequency conversion self-priming pump, a reverse frequency conversion self-priming pump and an intelligent time-controlled three-way controller. In the method, the start and stop of the forward frequency conversion self-priming pump and the reverse frequency conversion self-priming pump are controlled through an intelligent switch, and a water flow is adjusted through the electromagnetic flow control meter, thereby realizing periodic changes in a water level to simulate different types of tides and coastal wetlands.

Abstract: Hierarchical network operation and resource control system and method for a mega satellite constellation, belonging to the field of spatial information technology, are provided. The hierarchical network operation and resource control system includes a service layer, a global organization layer, a local coordination layer and a resource layer. The service layer is used as an input to drive operation of whole system. The global organization layer is to realize “operation, measurement and control” integrated control and decision of whole network. The local coordination layer is to realize local management decision and management slice generation. The resource layer is to provide physical resource and physical device and realize resource virtualization.

Abstract: Lightweight inter-satellite handover device and method for a mega LEO satellite network are provided. An attribute extraction sub-module extracts attributes of handover users in a user information storage unit. Based on the attributes of the handover users, a cluster sub-module clusters the handover users into user clusters. A decision set generator sub-module generates target satellite sets of the user clusters, determines each target satellite of the target satellite sets of the user clusters of each LEO satellite whether belongs to LEO satellites in a management domain of a handover decision point of managing the LEO satellite based on management domain information in a LEO satellite information storage unit, and if YES, performing inter-satellite handover by a centralized decision unit, otherwise performing inter-satellite handover by a distributed decision unit.