131results about How to "Solve the scarcity" patented technology

The present invention discloses a voting based classification method for cross-language subjective and objectives sentiments. The method comprises the following steps of: S1, constructing a target language sentiment dictionary according to a source language sentiment dictionary; S2, separately adopting three algorithms of a rule algorithm, a combination algorithm of machine translation and statistical machine learning, and a polarity eigenvalue calculation algorithm to extract words from a sentence of a to-be-tagged text, determining sentiment polarity of the words according to the constructed target language sentiment dictionary, and further determining subjective and objective nature of the sentence; and S3, acquiring subjective and objective nature determination results of the sentence, obtained according to the three algorithms, and determining the subjective and objective nature of the sentence by voting. The method can fully consider contexts and usage habits of a target language on the premise of keeping certain accuracy, effectively solves the problem that a tagged corpus of the target language is scarce, and further improves classification accuracy on the premise of ensuring the recall rate.

Provided is a mini-satellite test remote measurement and remote control monitoring system based on a service-oriented architecture and a method thereof. An object-oriented concept is adopted, and satellite and ground equipment is divided into a satellite object, a baseband object and a main test computer object for master control equipment. Multiple independent object units are designed simultaneously. Multiple services are established via a service management unit. Various required object units can be dynamically selected and combined by all the services, corresponding data processing units and encryption / decryption and scrambling / descrambling units can be scheduled, and remote measurement and remote control information of the services is displayed in real time by using a monitoring display unit so that remote measurement and remote control monitoring of multiple models of satellites can be realized. Test monitoring of multiple satellites, and different models of satellites, the baseband object equipment types and the main test computer types can be supported by the system and the method so that monitoring efficiency and generality can be enhanced.

The invention relates to Internet information retrieval and discloses a method for detecting Internet cheats on the basis of a small sample set to strike search engine cheating behaviors which become severe increasingly. The invention uses the iterative execution of self-learning on the basis of a classifier and the linking learning process on the basis of an Internet topological structure to continuously expand a training set aiming at the problem that a detection sample has high collecting cost to realize that search engine cheats are detected under the small sample set, an integrated down sampling strategy is adopted in the identification process, and information which is contained in websites which exist widely on Internet and have high reputation is fully used. Finally, label transmission along the Internet topological structure and on the basis of prediction cheating degree is carried out to realize the optimization of detection results. Experiments are used to show that the method can effectively detect the cheating behaviors.

The invention discloses a space-spectrum full-convolution hyperspectral image classification method based on superpixel sample expansion. The method comprises the following steps: inputting a hyperspectral image; obtaining a training set and a test set; performing principal component analysis and dimension reduction on the hyperspectral image; performing entropy rate segmentation on the dimensionreduction result; generating a pseudo label sample; updating the training set; performing data preprocessing on the hyperspectral image; inputting the data into a convolutional neural network; training a convolutional neural network, and classifying the hyperspectral images; repeating the above operations and performing voting; and outputting a high spectral classification result. According to themethod, the entropy rate super-pixel segmentation result is used for expanding the pseudo-label sample, the prior characteristics of the hyperspectral image are fully used, the number of samples is increased, the problems of network overfitting and low network convergence speed are solved, and the classification accuracy of the hyperspectral image under the condition of scarcity of marked samplesis improved.

The invention discloses a method for synchronously recovering mercuric chloride, metal salt and active carbon in a spent catalyst. The method is orderly implemented through the steps of spent catalyst drying, mercuric chloride recovery, complex perforation of active carbon and metal salt recovery, wherein mercuric chloride in the spent catalyst is recovered through destructive distillation in combination with condensation and aqueous solution absorption; deposits in the micropores of the active salt are displaced through hot water soaking in combination with bubbling by introducing air, thereby realizing the purpose of recovering the pores of the active carbon; and then the active carbon is recovered through drying and the metal salt is recovered through filtering; in the whole process, no pollutant is generated and discharged and the utilization rate of water is also extremely high; valuable elements in the spent catalyst are all recovered; and the valuable elements in the spent catalyst which is used in production previously and contains mercuric chloride, metal salt and active carbon are utilized, thereby achieving the purposes of solving the problems of scarce raw materials for new catalyst production and environmental pollution caused by inappropriate spent catalyst disposal; as a result, the method is obvious in economic benefit, environmental benefit and social benefit.

The invention discloses a preparation method of an ultra-dispersed MoS2 / rGO nano hybridization water-electrolysis hydrogen production catalyst. According to the preparation method, the catalyst is prepared from molybdate, cysteine and graphene oxide through a hydrothermal synthesis method. A hybridization material of ultra-dispersed molybdenum disulfide and graphene is obtained through a one-step hydrothermal method; a whole synthesis process is simple and rapid, and extra high-temperature heating and vulcanization processes are not needed; sodium molybdate which has low price and is easy to obtain is used as a molybdenum source, and the cysteine is used as a sulfur source. The cysteine is used as a joint molecule, and a molybdate precursor is fixed on the surface of the graphene oxide; the hydrothermal synthesis method is adopted, so that an MoS2 nano-sheet with a controllable size can be loaded on the surface of the graphene in an ultra-dispersion manner, and UDSL-MoS2 / rGO is prepared; meanwhile, two problems that a catalytic active site of the molybdenum disulfide is scarce and the conducting property is poor are solved.

The invention relates to the field of a medical model, particularly relates to a medical model based on 3D printing and a manufacturing method thereof and aims to provide a model for pre-operative simulation training. The method comprises steps that a three-dimensional digital model of target bones is constructed; a preset number of sub-models of the target bones are extracted; hole repair of a sub-model of each target bone is performed; a three-dimensional digital model of a target soft tissue / organ mold is constructed; according to the sub-models of the repaired target bones and the 3D digital model of the mold, 3D printing is performed to obtain a physical model of the target bones and the mold of the target soft tissue / organ; the physical model of the target soft tissue / organ is produced based on the mold obtained through 3D printing; the physical model of the target bones and the physical model of the target soft tissue / organ are combined to obtain a medical model. The method is advantaged in that the model simulation degree is high, effective pre-operative simulation training for medical staff can be performed;, and the success rate of surgery can be improved.

This invention relates to a method for manufacturing new type bone porcelain. The bone porcelain is composed of: SiO2 50-60 wt.%, Al2O3 20-30 wt.%, P2O5 1.8-3.5 wt.%, CaO 2-5 wt.%, MgO 0.2-0.5 wt.%, K2O and Na2O 3-5 wt.%. The crystal phase content is 50-70 wt. % in the porcelain body. The main crystal phase is mullite, and the minor crystal phases are beta-Ca3 (PO4)2 and anorthite. The bone porcelain is manufactured from: bone ashes 5-10 wt.%, Al powder 5-10 wt.%, kaolin 25-35 wt.%, and porcelain stone 45-60 wt.%. The bone porcelain has such advantages as good appearance, thin external wall, light weight, good light transmittance and good thermal stability. The title method has such advantages as low bon ashes addition, wide sintering range, high quality goods rate, low manufacturing cost and wide raw material resources, and is suitable for mass production.

An apparatus for desalinating seawater, including: a seawater purifying system and a seawater desalinating system. The seawater purifying system includes: a purified seawater transporting pump including a purified seawater output main pipe. The seawater desalinating system includes: a solar thermal apparatus for concentrating solar energy and collecting heat, a solar energy heat storage tank, a purified seawater heater, a heated seawater pump, at least one stage of seawater flash evaporator, a freshwater main pipe, a sealed fresh water storage tank, a vacuum pump, and a concentrated brine pump. The solar thermal apparatus includes a heat transfer medium chamber. The purified seawater heater includes: a first heat exchanger utilizing a heat transfer medium as a heat source, an inlet, a seawater outlet, and an inlet main pipe. Each stage of seawater flash evaporator includes a flash evaporator body and a seawater cooler.

The invention relates to a tissue culture method for cultivating amaryllis vittata by utilizing bulbs. The tissue culture method comprises the following steps: selecting and disinfecting explants; performing induction culture; performing subculture multiplication culture; rooting; transplanting. According to the invention, small bulbs of amaryllis vittata are taken as explants, so that the reduction of contamination rate is benefited and the induction rate is increased; cluster buds can be induced without callus stage; the cluster buds can be directly induced so as to acquire bulbs; the induction time is shortened; the buds can be added for multiplication culture; the multiplied test bulbs are rooted; one-step bulb forming of amaryllis vittata bulbs can be realized according to the invention; the time of tissue culture is saved; the operation steps are reduced; the excellent natures of original bulbs are kept; an effective method is supplied for industrial efficient cultivation of amaryllis vittata; a technical support is supplied for the industrial development of amaryllis vittata.

The invention belongs to the technical field of plant genetic engineering, and particularly relates to a cotton calcium-dependent protein kinase GhCPK33 gene for regulating the verticillium wilt resistance of cotton, and applications thereof. According to the present invention, the calcium ion-dependent protein kinase GhCPK33 gene with the characteristic of verticillium wilt induced expression isscreened by inoculating Verticillium dahliae in Gossypium hirsutum Linn and analyzing RAN-Seq data at different time points, wherein the nucleotide sequence of the gene is represented by SEQ ID NO:1,and the protein sequence encoded by the gene is represented by SEQ ID NO:2. According to the present invention, through the VIGS system, the corresponding gene in cotton is silenced, Verticillium dahliae is inoculated, and the function of the gene in the verticillium wilt resistance of cotton is quickly identified; and the isolated gene provides the negative regulation effect in the verticillium wilt resistance of cotton, and by silencing the gene, the verticillium wilt resistance of cotton can be significantly improved.

The invention discloses a deep reinforcement learning method for a big pineapple poker two-wheel pendulum method, and the method does not need expert data, enables an agent to learn a decision rule ina self-game in combination with a neural network and a Monte Carlo tree search algorithm, and continuously improves the income. According to the method, two rounds of board surfaces are taken as rootnodes, leaf nodes are selected according to a prior probability and an average income within a given iteration frequency, if the nodes are not expanded, board surface information is encoded and inputinto a neural network to obtain the prior probability and an estimation value, the nodes are expanded, and the income of all father nodes is updated by using the selected leaf node estimation value.After iteration is finished, the sampling times of all pendulum methods of the root node are normalized, and a pendulum method with the maximum probability is selected to enter a next round of decision. And after all decisions are completed, training data are collected to update network parameters. According to the method, after a large amount of self-gaming learning is carried out, the unlearnednetwork is greatly scored, and a universal and feasible method is provided for researching the incomplete information game.

The invention discloses a power distribution method in a downlink NOMA system of a depth deterministic strategy gradient algorithm, and the method employs a double neural network structure and an experience pool playback mechanism, can effectively solve a problem related to a large-scale state action space, reduces the correlation between training samples, employs a deterministic strategy to select an action, and an action may be selected in a continuous action space. According to the algorithm, state information is used as input of a neural network, a state space, an action space and a rewardfunction are correspondingly designed according to a simulation downlink NOMA system situation, and signal to interference plus noise ratio information and rate information at the last moment are used as components of the state information at the current moment. According to the invention, the intelligent agent can learn and utilize the learned information to improve the behavior strategy more effectively, and an optimal power distribution strategy is obtained after multiple iterations. The method can effectively solve the problem of power distribution of multiple users in the downlink NOMA system, has good generalization performance under different user numbers and the transmitting power level of the base station, can effectively improve the rationality of power distribution, consumes less operation time, and effectively improves the efficiency of power distribution.

The invention relates to a productive process for producing ursodeoxycholic acid by using 86% anthrodsoxycholic acid content, which comprises obtaining ursodeoxycholic acid by using 86% anthrodsoxycholic acid after reaction, and then obtaining ursodeoxycholic acid with 98.5% purity through separating by acetic acid ethyl ester. The productive process has simple technical process and low productive cost. And the purification of ursodeoxycholic acid which is synthesized through adopting bromine as KI oxidant, metallic sodium plus tert-butanol reduction and acetic acid ethyl ester separation is high, which reaches to the international advanced level.

The invention discloses a battery sharing method, system and device of a mobile electronic device. The method comprises the steps that sharing batteries of the mobile electronic device are produced into a same specification type according to a same standard; a plurality of sharing charging devices are arranged according to areas, and a plurality of fully charged sharing batteries are prestored in the sharing charging devices; a user registers as a sharing user through an application client, and real-name system certification is conducted; the sharing user puts batteries to be replaced into the sharing charging devices for charging, and meanwhile the fully charged sharing batteries in the sharing charging devices are taken away for using. According to the battery sharing method, the fully charged batteries can be quickly provided for the sharing user and used for the mobile electronic device of the user, the sharing user can quickly replace the batteries through the sharing devices, the user does not need to wait for charging, so that the mobile electronic device of the user can quickly enter the fully charged state, meanwhile, the mobile electronic device can be provided for a plurality of users for use, and the time of the user is greatly saved.

The invention discloses a ReS2 / CdS photocatalyst and a preparation method and application thereof. The preparation method of the ReS2 / CdS photocatalyst comprises the following steps that 1, ammonium perrhenate, thioacetamide, hexamine and cadmium sulfide are weighed and dissolved in distilled water to obtain a mixed solution B; 2, the mixed solution B obtained in the step 1 is placed in a hydrothermal reactor for hydrothermal reaction; 3, after the reaction is completed, when the hydrothermal reactor is cooled to a room temperature, dark green ReS2 / CdS in the hydrothermal reactor is subjectedto ethanol washing, washing and drying for use. According to the preparation method of the ReS2 / CdS photocatalyst, the obtained ReS2 / CdS photocatalyst greatly improves the performance of CdS semiconductor photocatalysis hydrogen production, a flexible ReS2 load is used as a promoter on the CdS surface, not only are the problems of the scarcity and high cost of Pt solved, but also CdS semiconductorphotocatalytic material electron transferring is accelerated, the carrier compound probability of a CdS semiconductor photocatalytic material is reduced, and a brand new way is provided for a CdS photocatalysis hydrogen production technology.

The invention relates to an automatic alloy circular saw blade resistance welding machine, which is mainly composed of a saw blade part, a tongue part and a control circuit part. The box body of the pneumatic device for controlling the air circuit, the pneumatic pressure regulating filter device and the operation panel, and the wire reel for fixing the welding wire, the welding wire feeding device and the flux loading device which play an auxiliary role in resistance welding are also installed on the frame. The beneficial effects of the invention are: reliable welding fastness and precision, can reduce the harm of high temperature to the human body, the dosage of welding wire and flux is also very accurate, and no waste occurs, thereby achieving the effect of energy saving and emission reduction, which can solve the problem of The scarcity of skilled workers in enterprises and the production problem of enterprises, etc.

The invention relates to a Myanmao OCR method based on knowledge distillation. The method comprises the following steps: constructing a Myanmao image data set adapting to task requirements; adding noise to a generated image, and carrying out regularity labeling on a label code corresponding to the image; constructing a model architecture of a student network and a teacher network using a deep convolutional neural network and a recurrent neural network framework; based on a knowledge distillation method, training a teacher network and a student network in an ensemble learning mode, and by coupling of a teacher integrated sub-network and the student network, aligning local character image features corresponding to a single receptive field in the student network and overall character image features in the teacher network. Therefore, the acquisition of the local features in the long-sequence character image is enhanced, and the student network can efficiently identify the Myanhuang language complex scene text image by calling the deployment model on the server. The recognition of the Myanmai image text is realized, the recognition accuracy is high, and the effect is good.

The invention discloses a non-noble metal photocatalysis cocatalyst. The non-noble metal photocatalysis cocatalyst is prepared from cobalt nanometer particles and nitrogen-doped graphene according to a mass ratio of 100-150: 1 through compounding. The invention provides a preparation method of the non-noble metal photocatalysis cocatalyst. The preparation method comprises preparing graphene oxide through Hummers, preparing a graphene oxide aqueous suspension through ultrasonic treatment, adding a CoCl2 aqueous solution into the suspension, carrying out freeze drying to obtain brown powder, putting the brown powder into a tubular furnace in atmospheres of argon and ammonia gas and carrying out calcination to obtain black powder. Cobalt nanometer particles are dispersed and doped in graphene oxide. The inventor successfully develops the cobalt nanometer particle / nitrogen-doped graphene composite cocatalyst with high water photolysis hydrogen production activity. The cocatalyst improves graphene electron transmission efficiency and improves a catalytic reaction active site. The cobalt and nitrogen valence bond produces synergism so that catalyst photocatalytic activity and stability are obviously improved.

The invention relates to bacillus amyloliquefaciens and a method for preparing succinyl ononin in a nonaqueous phase, and belongs to the technical field of biological catalysis. The bacillus amyloliquefaciens is named bacillus amyloliquefaciens FJ18. The preservation unit is China Center for Type Culture Collection (CCTCC), and the preservation number is CCTCC NO: M2016272. The invention also provides a method for preparing succinyl ononin in a nonaqueous phase by the strain. The strain can effectively catalyze fermlononetin to prepare succinyl ononin. Thus, the problem of scarcity of formononetin glucoside compounds is solved.

The invention relates to an old-Chinese bilingual corpus construction method and device taking Thai language as a pivot, and belongs to the field of natural language processing. The method comprises the steps of firstly performing Thai word segmentation processing on Chinese-Thai parallel corpus data; constructing a Lao-Thai bilingual dictionary, and translating Thai sentences into Lao sentence sequences word by word by using the Lao-Thai bilingual dictionary to obtain candidate Lao-Thai parallel sentence pairs; constructing a two-way LSTM-based Lao language-Thai language parallel sentence pair classification model, and classifying the candidate Lao language-Thai language parallel sentence pairs to obtain Lao language-Thai language bilingual parallel sentence pairs; using the Thai languageas a pivot language to match the Lao language and the Chinese language, and a Lao language-Chinese bilingual parallel corpus is constructed. According to the old-Chinese bilingual parallel corpus construction device taking Thai language as pivot language, the problem of scarcity of old language-Chinese corpus is solved, and the old-Chinese bilingual parallel corpus construction device has certaintheoretical significance and practical application value for construction of the old-Chinese bilingual corpus.

The invention discloses a production method and equipment for linear alkylbenzenes which are developed by taking Fischer-Tropsch synthetic oil as raw materials. The method is used for producing C10-C13 linear alkylbenzenes by carrying out a liquid-phase reaction on the raw materials, namely n-alkane olefins containing 2-20 carbon atoms in the Fischer-Tropsch synthetic oil under the conditions thatthe reaction temperature is 35-70 DEG C, the reaction pressure is 0.4-1MPa and the benzene / alkene molar ratio is (4-12):1. By using the production method and equipment, firstly, the aim of ''three reduction'' including energy consumption reduction, investment reduction and processing cost reduction is achieved better; and secondly, the problem that the raw materials for producing the linear alkylbenzenes are scarce at present is solved better. The production method and equipment can be directly used for industrial production of the linear alkylbenzenes. The method comprises the steps: separating n-alkane olefins from the Fischer-Tropsch synthetic oil serving as a raw material, carrying out refining to remove higher alcohols, and then, carrying out an alkylation reaction. The production method is characterized by comprising the steps: making the raw material enter a pretreatment dividing wall column, making n-alkane olefins from which 10-13 carbon atoms are separated enter an extraction column, removing alkanes of the higher alcohols, then, carrying out mixing with benzene and hydrofluoric acid, next, making the mixture enter an alkylation reactor, and making a reaction product sequentially pass through a deacidification column, a debenzolization column and a product dividing wall column to obtain the high-purity C10-C13 linear alkylbenzenes.

This invention relates to data transmission network and to one ATM network structure and its data transmission method. This invention provides one ATM ring network, which divides ATM ring network points into upper and down types and when upper points are connected to core device as management points in charge for maintenance topological and dispatching materials as ring data terminal points connected to other device.

The invention discloses a method of mulberry hydroponics and full-year ready production of mulberry leaves. A movable plant LED illumination cyclic hydroponic set is used; hydroponic nutrient solution is made from water-soluble fertilizers; illumination time, hydroponic nutrient solution temperature and water-fertilizer-air cyclic supply are controlled through an illumination system, a temperature control system and a water-fertilizer-air integrated cyclic supply system in the movable plant LED illumination cyclic hydroponic set; mulberry trees are enabled to grow roots, sprouts, shoots and leaves. The original mechanical of the mulberry trees defoliating in winter and hibernating is broken through, the mulberry trees have no dormant phase throughout the year during hydroponics and grow vigorously and persistently, full-year ready hydroponics of the mulberry trees and mulberry leaves is achieved, the mulberry leaves and buds can be produced especially in winter, the problems that fresh mulberry leaves are lacked, no mulberry leaves are provided for silkworm breeding, polyvoltine silkworm regeneration is failed and development of related scientific experiments fails are solved, and the method has high practical value and promising market prospect.

The invention discloses an intermittent industrial process online quality prediction method based on JY-MKPLS. According to the method, two-dimensional input matrixes X and X and two-dimensionaloutput matrixes Y and Y are obtained through three-dimensional input data of a process a and a process b; standardization processing is performed; the matrixes are projected from a low-dimensional original space to a high-dimensional characteristic space F, and kernel matrixes K and K are calculated in the high-dimensional characteristic space; the kernel matrixes K and K are standardized; the JY-MKPLS algorithm is run; load matrixes of K<ai> and K<bi> are calculated; the steps are repeated till A principal elements are extracted; a score matrix T and a load matrix P of an input data matrix K and a score matrix U and a load matrix Q of an output data matrix Y are calculated; batch process quality prediction is performed; latest output data y<new> is obtained on line, anda prediction error beta<n> of a current batch is calculated; a model prediction error is checked; newly generated a-process data is used for replacing the model prediction error; and model updating is performed. Through the method, a new process prediction model with high precision can be quickly established, modeling efficiency and prediction precision can be improved, and the operation cost ofan enterprise is effectively controlled.

The invention relates to a parallel space establishing and sharing system based on virtual reality technologies. The system includes: a virtual reality environment base establishing module which is intended for establishing a virtual reality environment base model based on real world parameters which include geography and landform information, longitude and attitude information, sun orbit information, natural light environment information, building information, building inner space, road information and landscape information of the real world; a parallel space editing module which is intended for performing controllable editing on the virtual reality environment base model and generating at least one parallel space which is based on the virtual reality environment base model; a parallel space storage module which is intended for storing the parallel space; a user client module which is intended for accessing the parallel space; a user feedback receiving module which is intended for receiving access information of a user and performing corresponding operation based on the access information. Compared with prior art, according to the invention, the system can effectively address the shortage of quality geographical resources in real life.

The invention discloses a method for establishing a small pine nut tissue culture regeneration system, which is a technical method for obtaining tree seedlings with stable properties through an asexual rapid propagation technology. According to the invention, the small pine nut tissue culture regeneration system is established by taking an immature embryo of small pine nut tree as an explant and through the steps such as seed disinfection, embryo callus induction, differentiation culture, rooting culture, seedling hardening and transplantation; and the problem of shortage in high-quality seedlings of small pine nut tree is solved, and a firm guarantee can be provided for carrying out large-area planting expansion and transformation work of small pine nut trees in future.

The patent refers to the field of 'cultivation in general'. The invention discloses a seed production and seedling cultivation method for stem-free Ficus microcarpa, belonging to the technical field of a grow seedling cultivation, which comprises the following steps of producing seeds, sowing the seeds and culturing seedlings, transplanting the seedlings in a pot culture or bag cultivation mode and planting the seedlings on ground, wherein the step of producing the seeds is carried out according to the following sequence: (1) selecting a seed tree and figs; (2) preprocessing the figs; (3) producing the seeds; the preprocessed figs are mixed with fine sand according to the volume ratio of 1:1 or with peat soil according to the volume ratio of 1:0.5 to mix for the seed dressing; and the figs are crushed by means of external force, fully stirred uniformly, dried and screened to prepare the seeds. The invention has the advantages that the problem of no germination of the figs in a natural state is solved; the coefficient of the seedling cultivation of the seeds is enhanced by thousands of times than the conventional asexual seedling breeding; the price of the seedling cultivation is low; the problem of scarce seedling of the stem-free Ficus microcarpa is solved; and the method can be popularized and applied in the regions suitable for the growth of banyans in the south of China.