Abstract: This application discloses a data writing method. A network controller performs erasure code encoding on original data, and writes a third quantity of target data blocks of a plurality of obtained target data blocks into a storage node. The network controller reads a first quantity of target data blocks of the third quantity of the target data blocks from the storage node, and decodes the read target data blocks. The plurality of target data blocks include a first quantity of original data blocks and a second quantity of check data blocks, two ends of a target data block include same version information, and the third quantity is greater than the first quantity.

Abstract: The present invention relates to a carbon nanotube-transition metal oxide composite and a method for making the composite. The composite comprises at least one carbon nanotube and a plurality of transition metal oxide nanoparticles. The plurality of transition metal oxide nanoparticles are chemically bonded to the at least one carbon nanotube through carbon-oxygen-metal (C—O-M) linkages, wherein the metal is a transition metal element. The method for making the composite comprising the following steps: step 1, providing at least one carbon nanotube obtained from a super-aligned carbon nanotube array; step 2, pre-oxidizing the at least one carbon nanotube; step 3, dispersing the at least one carbon nanotube in a solvent to form a first suspension; step 4, dispersing a material containing transition metal oxyacid radicals in the first suspension to form a second suspension; and step 5, removing the solvent from the second suspension and drying the second suspension.

Abstract: A method and apparatus for optimizing operation simulation of a data center are disclosed, and the method includes: constructing a data center simulation model; acquiring a state data set and an action data set of the data center; inputting the state data set and the action data set into a first state prediction model to obtain a next state data set; judging whether the next state data set meets a state safe judgment condition; if so, inputting the state data set and the action data set into a second state prediction model to obtain a next state data set; optimizing network parameters of a reinforcement learning algorithm; and determining an action data set corresponding to a real-time state data set of the data center by using the trained reinforcement learning algorithm.

Abstract: A multi-stage micro-decomposition swirl burner with an ammonia-doped fuel, and a low NOx control method are provided. A natural gas central pipe, a primary air pipe and a burner housing are nested from inside to outside in sequence to form a primary air duct and an over-fire air channel which are isolated from each other. Natural gas is ejected from the natural gas central pipe, and swirl vanes are arranged in the primary air duct, such that the primary air can be mixed with the central natural gas in a swirl state, and then a diffusion flame is formed under the action of an ignition device. Therefore, a pilot flame with sustainable combustion is formed at the center of an injection end of the burner.

Abstract: The present application provides a day-ahead scheduling method and apparatus for a power system, an electronic device, and a storage medium, where the method includes: obtaining power system prediction parameters in a to-be-scheduled time period, where the power system prediction parameters include thermal power unit parameters, renewable energy station parameters, load parameters, energy storage station (ESS) parameters, node parameters, a transmission line parameter and other power gird parameters; constructing a day-ahead scheduling optimization model and generating multiple renewable energy power scenarios based on the power system prediction parameters; solving the day-ahead scheduling optimization model to obtain day-ahead scheduling results; verifying the day-ahead scheduling results based on the power system prediction parameters and the multiple renewable energy power scenarios; and in case that the verifying the day-ahead scheduling results successes, outputting the day-ahead scheduling results.

Abstract: This application discloses a planar inverted F antenna pair and an electronic device, and relates to the field of antenna technologies. The planar inverted F antenna pair includes a dielectric substrate, a ground metal plane, and a radiation unit, where the ground metal plane is arranged on a side of the dielectric substrate, two ends of the radiation unit are respectively connected to a first feed portion and a second feed portion, the radiation unit is connected to the ground metal plane through a ground metal sheet, the ground metal sheet is located between the first feed portion and the second feed portion, distances from the first feed portion and the second feed portion to the ground metal sheet are not equal, the ground metal plane is provided with a slot, and two ends of the slot are located on two sides of the ground metal sheet.

Abstract: A method for multi-time scale reactive voltage control based on reinforcement learning in a power distribution network is provided, which relates to the field of power system operation and control. The method includes: constituting an optimization model for multi-time scale reactive voltage control in a power distribution network based on a reactive voltage control object of a slow discrete device and a reactive voltage control object of a fast continuous device in the power distribution network; constructing a hierarchical interaction training framework based on a two-layer Markov decision process based on the model; setting a slow agent for the slow discrete device and setting a fast agent for the fast continuous device; and deciding action values of the controlled devices by each agent based on measurement information inputted, so as to realize the multi-time scale reactive voltage control while the slow agent and the fast agent perform continuous online learning.

Abstract: A method for aggregating a group of EVs based on EV flexibility includes: obtaining a prediction result on a fast charging demand of each EV based on a preset model; determining a distribution area of each substation involved in an EV activity range as an aggregation area; establishing an aggregation model based on the EV fast charging demand, in which the aggregation model includes energy balance equations and various constraints; obtaining an EV fast charging load power curve and an EV energy curve of each aggregation area based on the aggregation model; determining upper and lower limits of multiple EV fast charging load power curves as a flexibility range for the EV fast charging load power, and determining upper and lower limits of multiple EV energy curves as a flexibility range for the EV energy; and aggregating a group of EVs based on the above flexibility ranges.

Abstract: The present application discloses an image processing method and image processing apparatus for recognizing a target object.

Abstract: Provided is a femtosecond laser system for processing a micro-hole array, comprising: a femtosecond laser, a half-wave plate, a polarizer, a concave lens, a convex lens, a diaphragm, a mechanical shutter, a phase-type spatial light modulator, a first plano-convex lens, a reflecting mirror, a second plano-convex lens, a dichroic mirror, a camera, a processing objective lens, a six-axis translation stage and a transmissive white light source.

Abstract: The present application relates to a service decision method and a service decision device. The method includes: receiving a task request sent by a terminal, the task request including a terminal identifier, terminal location information and task information of the terminal; determining that the terminal is currently in an overlapping coverage area, generating a decision-making instruction according to the task request and a target decision network, and sending the decision-making instruction to the terminal according to the terminal identifier, the decision-making instruction being used to indicate whether a target unmanned aerial vehicle server provides to the terminal a service corresponding to the task request, and the target decision-making instruction being used by the terminal to select one server from among the target unmanned aerial vehicle server and the other unmanned aerial vehicle servers to provide the service. Using the present method can improve resource utilization.

Abstract: The present application provides a unit commitment method for a power system and associated components, the method includes: determining a unit commitment value of the thermal power unit and a unit commitment value of the renewable energy unit obtained based on a pre-scheduling stage optimization model by considering an N?1 fault and frequency security of the power system; verifying the unit commitment value of the thermal power unit and the unit commitment value of the renewable energy unit based on a re-scheduling stage optimization model; when the verification successes, taking the unit commitment value of the thermal power unit and the unit commitment value of the renewable energy unit as a final unit commitment value; when the verification fails, updating the pre-scheduling stage optimization model and repeating the determining step and the verifying steps, making decisions to the unit commitment of the power system to obtain a unit commitment plan ensuring frequency security and power supply-demand bala

Abstract: Disclosed are a detection collimation unit, a detection apparatus and a SPECT imaging system. The detection collimation unit includes: a scintillation crystal array configured to receive a gamma photon emitted by a radioactive source in a detected object; and a number of photoelectric devices configured to receive the gamma photon and converting the gamma photon into a digital signal. The scintillation crystal array includes a number of scintillation crystals. The number of scintillation crystals are arranged substantially in parallel and are spaced from each other. Each scintillation crystal has a side face configured to receive a ray emitted by the radioactive source and an end face. The number of photoelectric devices are coupled to the end faces of the number of scintillation crystals.

Abstract: The present disclosure relates to a multi-mode sensor based on wafer-level packaging and its manufacturing method. The sensor comprises a base for 3D packaging, a multi-mode sensor body, a cap layer, and multiple packaging structures. The base consists of a first substrate, a dielectric layer, a first insulating layer, and multiple through silicon vias (TSVs). The cap layer comprises a second substrate and a bonding ring, where the first surface of the second substrate is provided with a cavity for housing at least part of the multi-mode sensor body. This disclosure has the advantages of high integration, high performance, low cost, miniaturization, high reliability, process feasibility and compatibility, as well as high wafer-level uniformity, making it suitable for a wide range of applications.

Abstract: The present invention proposes a fabric defect detection method based on multi-modal deep learning. First, a tactile sensor is placed onto the fabric surface with different defects to collect the fabric texture images, a camera is used to collect the corresponding fabric external images, and a fabric external image and a fabric texture image constitute a set of fabric detection data; then, a feature extraction network and a multi-modal fusion network are connected to establish a classification model based on multi-modal deep learning, which uses the fabric texture image and fabric external image in each set of collected fabric detection data as input, and the fabric defect as output; said classification model is trained using the collected fabric detection data; finally, the trained classification model is used to detect the fabric defect. The present invention employs vision-touch complementary information, which can greatly improve the accuracy and robustness of detection.

Abstract: A method for screening L-nucleic acid aptamers for binding to a target molecule is disclosed. The method comprises: (a) contacting the plurality of L-nucleic acid aptamers with the target molecule under conditions that selectively capture target-bound L-nucleic acid aptamers from the plurality of L-nucleic acid aptamers; (b) amplifying L-nucleic acid aptamers of the target-bound L-nucleic acid aptamers to generate amplified, double-stranded L-nucleic acid oligonucleotides; and (c) isolating amplified double stranded L-nucleic acid oligonucleotides using an electrophoresis based method, thereby screening the plurality of L-nucleic acid aptamers.

Abstract: The present disclosure relates to a non-destructive in-situ measurement device and method based on Raman analysis. The device comprises: a laser light source that emits a laser beam; a focusing component that focuses the laser beam above a movable sample stage, with the focal plane of the focusing component positioned at an initial position. During measurement, the focal plane is controlled to move from the initial position to the surface, side, or bottom of the structure under test. The movable sample stage holds the sample to be measured and can move in a plane perpendicular and/or parallel to the optical axis. The axis of the structure under test is parallel to the optical axis and located within the laser beam's focal region. A detection module collects specific Raman scattering signals returned from the sample under test, and the structure's planar and three-dimensional parameters are determined based on the collected results.

Abstract: The present application discloses a scanning electron microscopic direct-write lithography system based on a compliant nano servo motion system, which includes an electron chamber, an ion chamber, a specimen chamber and a control system, wherein the electron chamber includes an electron chamber housing, an electron gun, an anode, an electron beam blanker, an electromagnetic lens and an electron beam deflection coil, the ion chamber includes an ion chamber housing, an ion source, an ion beam-scanning deflection electrode and the like, the specimen chamber includes a specimen chamber housing, a secondary electron detector, a nanoscale-precision compliant servo motion stage system and the like; control system includes a computer, an electron beam scanning controller, an ion beam scanning controller and the like.

Abstract: The present application relates to a method for designing a nonsymmetric freeform surface optical system, and the method including the following steps establishing an initial plane system. The initial plane system is consistent with the expected system structure, but there is no focal power in the initial plane system. The image plane tilt angle of the initial plane system is defined as ?. The point-by-point method is used to calculate the coordinates and normal vectors of the data points used to construct the freeform surface. The iterative optical system is obtained by iteration; and the iterative optical system is optimized.

Abstract: The method includes: receiving an encoder signal and a ray machine output beam signal, and initially synchronizing the encoder signal and the ray machine output beam signal; recording coded value M of the encoder at moment tm, and coded value N of the encoder at moment tm+1, where M, N, and m are integers; determining that duration from the moment tm to the moment tm+1 is an actual output beam time interval T of the ray machine, when it is determined that a difference value between the coded value M and the coded value N satisfies preset value a, a being an integer; determining gap time TG in the actual output beam time interval T based on a preset output beam time interval TJ of the imaging system and the actual output beam time interval T; and controlling the ray machine not to emit beam within the gap time TG.