188results about How to "Solve build problems" patented technology

The invention discloses an image subtitle generation method and system fusing visual attention and semantic attention. The method comprises the steps of extracting an image feature from each image tobe subjected to subtitle generation through a convolutional neural network to obtain an image feature set; building an LSTM model, and transmitting a previously labeled text description correspondingto each image to be subjected to subtitle generation into the LSTM model to obtain time sequence information; in combination with the image feature set and the time sequence information, generating avisual attention model; in combination with the image feature set, the time sequence information and words of a previous time sequence, generating a semantic attention model; according to the visual attention model and the semantic attention model, generating an automatic balance policy model; according to the image feature set and a text corresponding to the image to be subjected to subtitle generation, building a gLSTM model; according to the gLSTM model and the automatic balance policy model, generating words corresponding to the image to be subjected to subtitle generation by utilizing anMLP (multilayer perceptron) model; and performing serial combination on all the obtained words to generate a subtitle.

The invention relates to a transmitting method of a downlink link demodulation reference signal, transmitting and receiving devices and a generating method of a demodulation reference signal sequence. The transmitting method of the demodulation reference signal provided by the invention comprises the following step that: the transmitting device transmits the demodulation reference signal according to a demodulation reference signal pattern, wherein in the demodulation reference signal pattern, the receiving device can receive one or more orthogonal frequency division multiplexing (OFDM) symbols which are not occupied by a common reference signal (CRS) at the time domain position of the demodulation reference signal; and the demodulation reference signal is used for performing coherent demodulation on relay link downlink data transmission. Through the method and the devices, the transmission problem of a relay link downlink demodulation reference signal is solved and the conflict between the demodulation reference signal and the CRS is avoided.

The invention discloses a method for generating a five-axis numerical-control side milling machining tool path for a complicated combined curved surface. The method includes obtaining a section line by means of intersecting section planes and the combined curved surface, dispersing the section line into points according to a certain precision rule, then interpolating and fitting the disperse points on the various section planes by a spline curve B, and then fitting the section line into a spline surface B by the aid of skinning; and computing errors of the fit spline surface and the original combined curved surface, returning to the curve dispersion step if the precision requirement is not met, realizing dispersion with higher precision, fitting a spline curve, fitting a spline surface until the errors of obtained fitting curved surface meet the precision requirement, finally adopting a tool path generating algorithm combining integral arbor swing angle control with local fine adjustment and computing the machining tool path by the aid of the obtained fitting curved surface as a driving curved surface. The method is high in efficiency and precision, the side milling machining tool path for the combined curved surface is generated, an arbor swings stably and uniformly, and machining quality is high.

The invention discloses a five-coordinate plunge milling machining method of a closed type integral bladed disc, comprising the steps of: dividing machining areas of a passage of the machined closed type bladed disc; respectively generating passage offset surfaces in an air edge machining area and an air-exhaust edge machining area; solving a boundary line of the passage; generating straight-grain enveloping surfaces of the passage offset surfaces of the closed type integral bladed disc; respectively obtaining plunge milling cutter spacing orbits of the air edge machining area and the air-exhaust edge machining area so as to obtain the plunge milling cutter spacing orbits of the passage of the closed type integral bladed disc; and finally conducting plunge milling on the closed type integral bladed disc on a five-coordinate numerical control machine according to the obtained plunge milling cutter spacing orbits. The invention prevents the cutter interference when the closed type integral bladed disc is machined, solves the technical problems of great programming difficulty, multiple constraint conditions, the complex solving process of the cutter spacing orbits, and the like in the machining process and effectively realizes the five-coordinate plunge milling machining of the closed type integral bladed disc.

The invention provides an identification method for a radar disoperative target based on a mixed model, which is used for solving the problem that the disoperative target is low in identification rate. The method comprises the following steps: establishing a standard body model library of a refined scattering point model; structurally decomposing the disoperative target according to the standard body model library to generate a first scattering point model; shielding the first scattering point model to obtain an effective scattering point model; calculating RCS intensity for the effective scattering point to obtain intensity information and combining the intensity information to generate a scattering point matrix; adding a statistic characteristic into the scattering point matrix to obtain a second scattering point model of the disoperative target containing coordinate information and the RCS intensity information; carrying out multi-scattering point radar return simulation on the second scattering point model to establish a high resolution one-dimensional range profile template library; and identifying the tested high-resolution one-dimensional range profile by adopting a K near neighbor classifier by virtue of the high resolution one-dimensional range profile template library. According to the method provided by the invention, the target identification performance of the radar system can be improved.

Provided is a plant tissue culture bacteriostatic (antiseptic) agent containing botanical fungicide. The bacteriostatic (antiseptic) agent comprises isothiazolinone, nisin and aqueous extracts of the Chinese herbal medicines of terminalia, groundsel and aromatic madder. When the bacteriostatic (antiseptic) agent is applied in plant tissue culture, 0.35 to 0.5% of the bacteriostatic (antiseptic) agent is added into a medium, which enables fungal and bacterial contamination to a culture to be effectively reduced or prevented and poses little adverse influence on plant growth, thereby enhancing the success rate of plant tissue culture; the bacteriostatic (antiseptic) agent can also be applied in open type plant culture, e.g., in the rooting phase of sound seedlings during a late plant culture stage, the bacteriostatic (antiseptic) agent is directly added into a medium, and the medium can be inoculated in indoor environment with bacteria or a few bacteria without undergoing the step of autoclaving or operating on a superclean bench, thereby simplifying seedling culture in plant tissue culture, enhancing working efficiency, saving a great amount of energy and reducing production cost for plant tissue culture seedlings; therefore, the bacteriostatic (antiseptic) agent has a critical actual application value.

The invention discloses a random task migration method based on machine learning. A single task is divided into N migratable components irrelevant to equipment and two non-migratable components relevant to the equipment. A Markov decision process is used for modeling a system, a Q learning algorithm in reinforcement learning is used for generating an optimal migration strategy for determining taskcomponents, task component data and the optimal strategy are recorded to serve as training samples, so that the deep neural network is trained, and the learning capacity of the neural network is stronger along with continuous increase of the training samples. When the neural network accuracy reaches a certain degree, the approximate optimal migration strategy of the random task can be obtained only through one-time forward propagation. According to the method provided by the invention, the generation problem of the optimal migration strategy when the equipment-related and equipment-irrelevanttasks randomly arrive is well solved, and meanwhile, online learning can be realized.

The invention discloses a reinforcing and treating method for a water burst of a soft-flow muddy stratum of a foundation pit. The method includes the following steps that firstly, the hydrogeological condition of a region is detected and a grouting treatment region is divided according to engineering requirements; secondly, when the soft-flow muddy stratum is excavated, mold bag grouting pipes are installed in the grouting treatment region at set intervals in a set arrangement mode, paste is injected in filter cloth bags in the mold bag grouting pipes, the filter cloth bags expand due to the injected paste, a surrounding soft soil stratum is then compacted, and after the paste in the filter cloth bags is hardened, a grouting stop layer is formed by the hardened paste and surrounding compacted soil jointly; and thirdly, soft soil strata located below the grouting stop layer are grouted and reinforced through grouting screen pipes of the mold bag grouting pipes.

The invention discloses a deep learning-based natural language generation method. The method comprises the steps of training a comment generation apparatus by using existing news and comments. The training stage comprises the following steps of S1, performing vectorization processing on words in the existing news and comments to obtain word vectors corresponding to the words in the news and word vectors corresponding to the words in the comments; S2, obtaining hidden state vectors of the words in the news; S3, obtaining hidden state vectors of the words in the comments; S4, processing the words in the comments to obtain new hidden state vectors of the words; and S5, according to the obtained new hidden state vectors of the words in the comments in the step S4, predicting the next word corresponding to each word: according to the hidden state vector of the current word, obtaining a probability of selecting each word in a word table, and selecting the word with the maximum probability asthe next word of the current word in the generated comments. According to the method, the corresponding news comments can be generated for the given news, and the accuracy of word selection in the comments is relatively high.

The present invention relates to a seam line network generating method suitable for convex polygonal image effective ranges during mosaic of multiple digital orthophotos in an area range, comprising the following steps: obtaining an effective range of each orthophoto, and expressing the effective ranges with convex polygons; calculating segmentation lines between adjacent images; calculating an effective mosaic convex polygon of each image; and generating a seam line network. With the steps, mosaic treatment can be implemented on the basis of the generation of the seam line network; pixels contributing to mosaic in every image, seam lines relating to every image and images relating to each seam line can be conveniently obtained and a mosaic result can be directly generated; flexibility and efficiency of the mosaic can be guaranteed and error accumulation as well as intermediate results can be avoided, and a treatment result is independent of orders of the images. With the seam line network generating method, a problem of generating the seam line network for convex polygonal image effective ranges during mosaic of multiple digital orthophotos in an area range can be effectively solved.

The invention discloses a model driven development method based on specific domain modeling. The method comprises the steps of establishing an executable model meeting an MMLs5 level by taking behavior modeling as a core, replacing a code generator with a model analysis execution mechanism, combining a domain frame to become a specific domain model execution infrastructure, raising an abstraction level of code realization by a standardized, self-contained, self-description and modular WEB service, packaging details of the code realization, supplying a related software function entity in a specific domain to the specific domain model execution infrastructure in a WEB service cluster manner, and driving operation of a system by analysis execution of a behavior model. The method aims at achieving software generation and realizes an executable final system converted by a model, wherein an end user familiar with a demand constructs an application model; a domain expert performs domain analysis element modeling; a technical expert develops a specific domain support service; and executable software is formed by integrating in the model execution infrastructure.

A method and a system for generating navigation website based on an Internet use behaviour analysis system are disclosed. The system comprises an Internet use behaviour analysis module, a website navigation generation module and a navigation website push module. The method comprises the following steps of: firstly, monitoring and recording the network behaviours of a user surfing the Internet in the network environment; secondly, ranking the visiting records of the websites according to the effective visiting count of each website; and thirdly, generating a new navigation website according to the order of ranking and pushing the new navigation website to the user surfing the Internet. The method and the system mainly overcome the defects in the generation and popularization of the original navigation network through the following technology: firstly, in combination with the Internet use behaviour analysis system, the problem that the visiting habits of a user cannot be acquired is solved; and the Internet use behaviour analysis system statistically analyzes the Internet use habits of the user and generates a localized navigation website according to a specific rule; further, depending on the Internet use behaviour analysis system, the visit to the navigation website (or the first visit to a website and the like) is intercepted, and the visit content is modified and replaced in such a manner of masquerading website content data packets.

The present invention is 3D controlled stacking formation method of cell-material units. Ion concentration sensitive material and cell tactophily promoting biodegradable material(s) are first prepared into aqua and sterilized; one or several kinds of cell are then mixed with the solution to form cell-material solution mixture; and various kinds of cell-material solution mixture are extruded or jetted in preset structure and path to form cell-material units stacked in different spatial positions, to form cell-material gel with certain configuration and strength in corresponding triggering condition, and to obtain tissue organ rudiment via stacking. The present invention is based on the basic dispersion / stacking principle for fast formation to realize the accurate locating and formation of one or several kinds of cell in 3D space without damaging cell and other live biological body. The present invention is favorable to cell amplification and differentiation.

The invention discloses a two-dimensional rectangular part interactive layout optimization method based on a grouping technology. The method includes the steps that firstly, data preparation is completed; grouping of sliced rectangular parts is performed; a leftmost and bottommost optimization principle is used for material discharging and layout; the functions that an operator can adding, deleting, rotating and moving slices on an original sheet conveniently through a mouse and a keyboard are supported, and the layout can be zoomed in and zoomed out conveniently; when the layout is regulated, a system provides real-time collision detection, and the situations that the slices do not overlap and cannot exceed the edge of the original sheet are guaranteed automatically; after interactive layout is completed, a cutting line total path is used as an optimization objective to generate cutting lines and cutting sequences. According to the two-dimensional rectangular part interactive layout optimization method, in the rectangular part discharging process, the problems of follow-up processes, workshop transportation, utilization of residual blank areas after the layout, raw material defect avoiding and temporary slice adding are considered, and problems generated by man-machine interactive layout and the cutting lines after layout are solved.

The invention provides an orderly sequence number generating method of a Zookeeper-based distributed system. The method comprises the following steps of 1, creating an orderly sequence root node on Zookeeper of the distributed system; 2, creating a lasting sequence node under the orderly sequence root node; 3, obtaining the sequence number of the lasting sequence node; 4, deleting the sequence node corresponding to the front sequence number of the sequence numbers. The generation of the orderly sequence number under a high-subsequent request environment of a multi-service terminal in the distributed system is realized by using data high consistency and the node sequence property of the lasting sequence node of the Zookeeper.

The invention relates to a preparation method of a chemical adsorption material for removing phosphorus containing substances in wastewater, and belongs to the field of wastewater treatment. The preparation method includes the steps: firstly, grinding magnesite into powder and generating deposits after acid washing and alkaline leaching; mixing the deposits with 3-4% of polymerized organic polyacrylonitrile, 15-20% of polycaprolactam and 3-4% of diammonium nitrogen-based benzene solution of foaming agents; and generating the adsorption material with free Mg2+ under the pressure of 2.0-3.0MPa and at the temperature of 90-100 DEG C. Firstly, the adsorption material is soaked by phosphoric acid and then placed into an adsorption tower by serving as packing; secondly, the wastewater containing ammonium ions flows through the adsorption tower and chemically reacts with the adsorption material in the packing tower; and finally, white crystalline magnesium ammonium phosphate is generated. The influence of side reaction is avoided by the adsorption material, phosphate deposits with high purity are obtained, and secondary pollution caused by a traditional precipitation method is avoided.

The invention provides an indoor map generating method based on multi-user track fitting. According to the indoor map generating method, a system comprises mobile terminals, low-power-consumption beaconing modules and a cloud database, data including directions, speeds, accelerations, air pressures and the like are acquired through built-in sensors of mobile phones; the acquired data are subjectedto de-noising process to analyze walking statuses of users, walking tracks are generated in the mobile phones for the users respectively, and then deviation points in the tracks are corrected by means of measuring power of the beaconing modules at fixed positions; track data are uploaded to the cloud database by the mobile terminals respectively, so that when a user needs, the track data uploadedby everybody can be downloaded from the could database by a mobile terminal; in the mobile terminal, the track data from everybody are subjected to superposition process, the optimal indoor path canbe analyzed through a track fitting algorithm, and a complete indoor map path can be generated. Compared with a traditional indoor positioning method, the indoor map generating method based on multi-user track fitting has the advantages that cost is low, data are convenient to acquire, the defect that satellite signals are susceptible to interference is overcome, and high safety is realized.

The invention relates to the technical field of augmented reality technology data processing, in particular to an augmented reality technology data optimization system and method based on edge computing. The invention utilizes the local scene perception and positioning characteristics of edge computation, Distributed deployment characteristics, mobility, ultra-low time ductility and the ability tocollaborate with the central cloud, to optimize the data processing of AR application, It includes edge cloud AR data computing module, edge cloud AR data collaborative computing module, edge cloud AR data networking module, edge cloud AR local state acquisition module, edge cloud AR real-time control module, edge cloud AR data distribution deployment module and AR data two-end collaborative processing module. The invention effectively solves the problems existing in the AR application: (1) the generation and display deviation problem of the virtual scene data; (2) positioning deviation; (3)the problem of communication bandwidth limitation; (4) Calculation ability of equipment. The invention can be used for AR data processing.

The invention provides a dynamic texture synthesis method based on the double-identification flow convolutional network. The method mainly comprises steps of design of an apparent flow in a texture model, design of a dynamic flow in the texture model, new texture generation, dynamic texture synthesis and texture style conversion. The method is characterized in that target identification and optical flow prediction are accomplished based on the pre-training convolutional network (ConvNet), after given dynamic state texture input, each appearance of input textures is packaged according to filter data responded by a target identification convolutional network, modeling of a dynamic state of the input textures is carried out according to filter data responded by an optical flow convolutional network. For generating new textures, optimization of a noise input sequence is required to match characteristics of each identification flow in the input textures, and appearance of one texture and a dynamic state of another texture are combined to generate a brand new dynamic texture. The method is advantaged in that a high quality sample matched with pixel-by-pixel appearance and time-varying conditions of the input textures can be generated.

The invention discloses a geological fracture layer PEBI grid processing method for oil reservoir numerical simulation. A growth point set of PEBI grids is established by using a polygonal grid on an input geological fracture layer model as a background grid, regular growth points are arranged around the features such as complicated geological fracture boundary, vertical well point and horizontal well trajectory, and PEBI grids generated around the growth points by a local search method are provided by using the background grid as index. The PEBI grids have the characteristics of growth point connection and interface perpendicular bisection, can meet the requirement of oil reservoir numerical simulation computation on the geological fracture layer model, and can be geometrically and topologically consistent with the input geological fracture layer in a three-dimensional space. The method is simple, easy to implement, highly reliable, and highly applicable to complex geological fracture layers. High-precision oil reservoir numerical simulation computation can be carried out easily on the basis.

The utility model discloses a method of event composition. The method is used to compose the signaling information collected by the signaling monitoring system into the detailed call records as per the composition rules, which comprises: before the event composition, describe the required data as per a plurality of protocols for event composition; set the descriptive documents concerning the composition rules with specific protocols and the associate rules of a plurality of protocols; in the process of event composition, load the descriptive document of the event composition rule, generate the required data information and determine the specific composition rule; the signaling information can be judged and composed as per the specific composition rule. The method solves the technical problem in terms of multi-purpose, flexibility and extendibility, as the original event composition method can only focus on certain protocols.

The invention discloses an electric control ion exchange coupling water electrolysis device and technology and belongs to the field of wastewater treatment and new energy sources, aiming at solving two hotspot problems of metal ion treatment and electrolytic hydrogen production in a water body so as to realize efficient utilization of energy sources. The electric control ion exchange coupling water electrolysis device adopts a one-cavity and two-room structure, wherein one room is used for realizing reversible adsorption and desorption on target metal ions through applying oxidization or reduction voltage to an electric control ion exchange functional electrode; the other room realizes efficient utilization of a high-additional-value product including hydrogen gas, oxygen gas or chlorine gas. The technology has the advantages of low energy loss, high ion selectivity, reversible process, environment friendliness and simplicity in operation and is a novel and efficient water treatment technology.

A method for generating and transmitting mobile phone bar code includes sending user information and electronic business information onto platform of mobile phone bar code electronic business, generating enciphered two ¿C dimensional user bar code by said platform and sending it to user, using user bar code displayed on mobile phone screen to carry out electronic business by user.

The invention relates to synthesis method for leadless pure tin electroplating additive. Wherein, mixing lauryl phenol polyoxydivinyl ether, polyoxyethylene aniline ether, N, N-diethylm toluidine, hydracrylic acid, acetylglycine acid, naphthalene sulfonic acids, polyoxyethylene polyoxyprophylene propylene, and hydroquinone, and deionized water evenly by turns on given physical conditions; adjusting the constituents to eliminate compressive stress, control crystal process, and form perfect, normal crystallization structure; controlling particle size, thickness of plating layer and tin expansibility to solve generation problem of tin whisker. This invention is also easy to maintenance and needs low consumption.

The invention discloses a method for generating a query-oriented video abstract by using a convolutional multilayer attention network mechanism. The method comprises the following steps: 1) cutting agroup of videos to construct video clips; and extracting visual features of each lens of the video by using a full convolutional neural network; 2) learning semantic relationships among all shots in the video clip by using a local self-attention mechanism, and generating visual features of the video shots; 3) learning a semantic relationship between different segments of the video by utilizing a query-related global attention mechanism, and generating query-oriented video shot visual features; 4) calculating a similarity score between the video shot and the user query to generate a query-related video abstract. Compared with a common video abstract solution, the method has the advantages that a convolutional multi-layer attention mechanism is utilized, video visual features related to query can be reflected more accurately, and a more consistent video abstract is generated. The effect obtained in the video abstraction is better than that obtained in a traditional method.

The invention discloses a threat information generation and sharing method based on the Internet of Things. The method comprises the steps of obtaining a security event and asset information detectedby a flow analysis system; acquiring a security event and asset information detected by a terminal exception analysis system; obtaining a security event, asset information and account information detected by the business analysis system; acquiring a safety event detected by a honeypot analysis system; automatically generating threat information according to the data information acquired by all thesystems; and providing a multi-dimensional query API to carry out threat information sharing. The method provided by the invention can solve the problem of generation and sharing of threat information in the security aspect of the Internet of Things at present; threat information association generation is carried out based on a security event in combination with information such as the security event, equipment and an account; related threat information can be automatically generated for security events of the Internet of Things, and the related threat information is shared externally.

The invention discloses a wireless management system and method based on an NB-IOT (Narrow Band Internet of Things) technology for an electric vehicle battery. The system comprises a user terminal, avehicle-mounted battery terminal and a monitoring center. The electric vehicle battery is provided with a unique electronic label; the vehicle-mounted battery terminal records information such as theelectric quantity, the capacity, the geographical position and the charging and discharging times of the electric vehicle battery in real time, and transmits the information to the monitoring center through an NB-IOT cellular base station, so that the monitoring center performs intelligent management on the electric vehicle battery; and the user terminal acquires real-time information of the battery through information interaction with the monitoring center, and communicates with the battery through wireless communication, so that the user terminal can perform permission management on the battery conveniently. The NB-IOT technology is used, so that real-time information acquisition and remote monitoring of the information of the electric vehicle battery are realized, the problems concernedwith scheduling of a mobile charging battery and the like are solved; the real-time information of the electric vehicle battery can be checked in a mobile way by the user terminal; and a battery authorization use flow is simplified.

The invention discloses a vehicle obstacle avoidance method based on binocular vision and deep learning. The method comprises the following steps: obtaining an RGB image in front of a vehicle; acquiring a depth information map in front of the vehicle; predicting a drivable area segmentation result; carrying out information fusion to optimize a drivable area; removing the depth information of a drivable area part, and generating a depth obstacle front view; acquiring an obstacle distribution condition in a three-dimensional space in front of the vehicle, and obtaining an aerial view obstacle scatter diagram according to the obstacle distribution condition; performing density clustering on the aerial view obstacle scatter diagram, and removing noise; performing euclidean distance transformation on the aerial view obstacle scatter diagram, setting an adaptive threshold value, and dividing a front map into a safe driving area and a dangerous area; constructing a map for path planning through the aerial view safe driving area map and the field angle boundary information; performing obstacle avoidance path planning by using a dynamic window method in combination with a map for path planning; and calculating an expected speed and an expected angle according to the obstacle avoidance path track and issuing the same to a control system. The invention further provides the corresponding electronic equipment.

The invention discloses a self-adapting predistortion system and method based on orthogonal polynomials. The method comprises the following steps that: an orthogonal polynomial predistorter adopts a direct orthogonalization method for various inputs, obtains polynomials of all orders through recursion, obtains required polynomials and carries out predistortion processing on input signals; a high-power amplifier carries out power amplification on the received signals and then outputs the signals to a parameter estimation module in a feedback manner; and the parameter estimation module carries out self-adapting estimation on model parameters of the orthogonal polynomial predistorter by using all sampled data fed back by the high-power amplifier and feeds parameters, and feeds the parameters, obtained through each updating, back to the orthogonal polynomial predistorter, thereby completing predistortion processing. According to the system and the method, the problem of nonlinear distortion caused by the fact that the high-power amplifier has a nonlinear memory effect can be effectively solved.