33results about How to "Guaranteed Migration" patented technology

The invention discloses an AMF and network slice selection method and an AMF, which are used for providing a new network slice selection method so as to ensure that all PDN connections of terminal equipment can be migrated to a 5G network as much as possible. The AMF selection method comprises the steps that a first AMF receives a relocation request message from a mobility management entity (MME), wherein the relocation request message carries an identifier of a terminal device; the first AMF obtains subscription information of the terminal equipment according to the identifier of the terminal equipment, wherein the subscription information comprises information of a network slice currently accessed by the terminal equipment; and the first AMF selects a second AMF for the terminal equipment according to the information of the network slice currently accessed by the terminal equipment.

The invention discloses a self-adaptive adjusting water supplementing fishway for a floating dock. The self-adaptive adjusting water supplementing fishway for the floating dock comprises a fishway body, wherein the bottom end of the fishway body is rotationally connected with a floating dock structure, an auxiliary swimming structure is arranged in the fishway body, and an adjusting structure used for adjusting the angle of an auxiliary swimming plate of the auxiliary swimming structure is arranged on the floating dock structure. According to the self-adaptive adjusting water supplementing fishway for the floating dock, the angle of the fishway body and the angle of the auxiliary swimming plate can be adjusted in a self-adaptive mode, and the auxiliary migration process of fishes is effectively conducted.

Embodiments of the present invention provide a data migration method, device, storage medium, and electronic equipment. The data migration method includes: acquiring a data migration signal; determining the first original system according to the first original system information, determining the target system according to the target system information, Determine the first difference data and the first difference data amount according to the first original system data and the target system data according to the predetermined cycle, and migrate the first difference data to the target system; when the first difference data amount acquired according to the predetermined cycle is less than the first data When the number of consecutive times of the volume threshold reaches the first predetermined number of times, in response to the data request, the data to be written is simultaneously written into the first original system and the target system, the data to be read is read from the first original system, and passed through the first original system Return the data to be read obtained from the first source system. The data migration method, device, storage medium and electronic equipment provided by the embodiments of the present invention can meet the requirements for smooth and stable reading and writing of data during the data migration process.

The invention relates to the field of lithium ion batteries, in particular to low-temperature-resistant lithium ion battery non-aqueous electrolyte and a lithium ion battery. The low-temperature-resistant lithium ion battery non-aqueous electrolyte contains electrolyte lithium salt, a non-aqueous organic solvent and a film-forming additive, wherein the film-forming additive contains a conventionalfilm-forming additive and a low-temperature-resistant film-forming additive with a structure of a formula (I); the low-temperature-resistant additive can be reduced into a film on the surface of a negative electrode material more quickly than the solvent, a formed SEI (Solid Electrolyte Interphase) film is low in impedance so as to be favorable for embedding and separating out ions, and therefore, the low-temperature performance of the lithium ion battery can be greatly improved. In addition to a conventional carbonic ester solvent, the non-aqueous organic solvent also contains a carboxylic ester solvent, and the melting point and the viscosity of a whole electrolyte system are greatly lowered. When the battery is under a low-temperature (-40 DEG C) condition, the migration of the lithiumion between a positive electrode and a negative electrode can be guaranteed.

The invention belongs to the technical field of lithium-ion secondary batteries, and in particular relates to a first-time charging forming method for a lithium-ion secondary battery. The method comprises the following steps that: carrying out aging treatment on the lithium-ion secondary battery poured with electrolyte, then gradually increasing the charging current to carry out a sectional charge formation on the battery in the state of negative pressure, and sealing the battery when the voltage reaches 3.6 volts; and carrying out aging treatment on the battery, carrying out constant-current charging to 3.8-4.0 volts at a rate of 0.5 C-1 C, then carrying out constant-current charging to 4.2 volts at a rate of 0.2 C-0.5 C, and carrying out constant-voltage charging in the state of 4.2 volts at last. Compared with the prior art, the invention adopts the method of sectional charge formation to charge the battery to 3.6 volts firstly, so as to exhaust the harmful gas produced in the process of forming SEI (solid electrolyte interface), ensure the migration of Li<+> better, enable the formed SEI to be more uniform, stable and compact, and thus improving the cycling performance and high rate discharging performance.

The invention discloses a water replenishment fishway adaptively adjusted by a floating dock. The structure is provided with an adjustment structure for adjusting the angle of the auxiliary swimming plate of the auxiliary swimming structure; the invention can adaptively adjust the angle of the fishway body and the auxiliary swimming plate, and effectively assist the fish in the migration process.

The invention discloses a low-energy EDF (earliest deadline first) real-time task scheduling method for a mixed main memory embedded system. With the adoption of advantages that a PCM (phase-change memory) is non-volatile, low in energy and high in performance and in combination of a dynamic EDF algorithm, real-time constraint of the whole task set is guaranteed, accordingly, power consumption of the whole system is reduced, and the real-time constraint of tasks is not influenced. The method comprises the steps as follows: 1), tasks in the task set T are arranged according to a (Wpi-Wdi)Nwi descending order; 2), all the tasks are initialized; 3), the tasks are placed in the PCM one by one according to a task sequence of the task set T, if the task set still can be scheduled, the task is marked as P-task, Ci is equal to Wpi, and operation is performed until all the tasks in the task set T are checked; 4), the system starts to execute the tasks; 5), free time which is assigned to all the tasks with the dynamic EDF algorithm is calculated; 6), the free time is assigned with the dynamic EDF algorithm according to priority; and 7), the step 6 is repeated until the whole task set T is finished.

An embodiment of the present invention provides a prosody prediction model training method, a prosody prediction method and related devices. The training method includes: using the prosody prediction model to be trained to determine the current text unit and the previous text unit; obtaining the training current text unit of the current text unit The prediction vector is to obtain the previous prosodic prediction vector of the previous text unit, and fuse the two to obtain the training prosody fusion prediction vector; obtain the first training prediction prosodic vector according to the training current text prediction vector, and obtain the second training prosody fusion prediction vector according to the training prosody fusion prediction vector 2. Training and predicting prosodic vectors: obtaining the prediction loss of the current text unit according to the first training predicting prosody vector, the second training predicting prosody vector and the current reference prosody vector, adjusting the parameters of the model, and obtaining the trained prosody prediction model. The prosody prediction model training method, prosody prediction method and related devices provided in the embodiments of the present invention can improve the accuracy of prosody prediction.