227results about How to "Efficient preprocessing" patented technology

The invention provides a metallurgical composite pelletizing prepared through a twice pelletizing method, as well as a preparation method and an application thereof. The pelletizing is provided with a pelletizing shell formed by a central pelletizing core and a pellet material coating the outside of the pelletizing core. The internal pelletizing core of the formed pelletizing is in a reducing atmosphere, the outside of the formed pelletizing is in an oxidizing atmosphere, and the metallurgical composite pelletizing undergoing twice pelletizing satisfies the metallurgical requirements. The pelletizing core takes an iron-containing material and reducing coal dust or coke powder as raw materials in which adhesive and waste fly dust are added, and is obtained by means of disk pelletization or pressure pelletization. The pelletizing shell takes the iron-containing material and the pelletizing core as raw materials in which the adhesive is added, and is obtained by means of disk pelletization and taking the pelletizing core as the center of the sphere. Various metallurgical performance indexes of the composite pelletizing are highly better than normal pellets. The composite pelletizing not only realizes the harmlessness and the recycling of the waste fly ash, but also can greatly improve the technical and economic indexes of iron making blast furnaces. In addition, the composite pelletizing not only achieves such social benefits as energy conservation, emission reduction, environment protection and environment pollution treatment, but also can create considerable economic benefits.

The invention discloses a method used for detecting surface fatigue crack with CCD image characteristic, aiming at the defects that the existing fatigue crack detection method has low precision, needs the contact with the samples, needs expensive equipment and is troublesome to execute, and the like. The method utilizes the MATLAB image processing technology to research the characteristic parameters (length and width) used for characterizing the surface fatigue crack extension, compares two characterization methods, and validates the precision of the method used for detecting the surface fatigue crack images. The method has the advantages of high precision, non-contact type, simple equipment, easy execution, and the like, can realize the intellectualized malfunction diagnosis, and provides guiding suggestions for practical production.

The invention discloses a preprocessing method of multi-source heterogeneous big data, comprising the following steps: 1, heterogeneous data storage: extracting data from heterogeneous data sources according to preset conditions and uploading the data to a distributed file system HDFS for storage; 2, data cleaning: loading the data in the distributed file system HDFS into the memory through a Spark frame, removing the duplicate data and noise data, and transforming the format; 3, entity identification: identifying different representations of the same entity for the cleaned data, correctly identifying all the different entities, and merging the data of the same entity; 4, removal of redundancy: using hash-based duplicate data removal technology to remove redundant data. The method of the invention can reduce the storage resource and the network bandwidth, improve the data storage efficiency, and improve the quality of the subsequent data analysis work.

The invention relates to a preparation method of a herbal tea, specifically relates to an instant burdock herbal tea and a preparation method thereof, and belongs to the food processing field. According to the method, burdock juice is obtained through extraction and enzymatic clarification of fresh burdock; and the instant burdock herbal tea is prepared by adding auxiliary material juice, maltodextrin, skimmed milk powder and citric acid and through the steps of homogenization, concentration, lyophilization and the like. The burdock is extracted by using an ultrasonic-microwave method. The method combines two action modes of ultrasonic vibration and open microwaves directly, takes full use of a hole effect of the ultrasonic vibration and a high energy effect of the microwaves, overcomes the disadvantages of a conventional ultrasonic- and microwave-assisted extraction, and realizes fast, efficient and reliable pretreatment for solid samples under a low temperature atmospheric pressure condition. The instant burdock herbal tea prepared by the invention is convenient to take and to brew, and can play the roles of clearing away heat and summer heat, expelling dampness to remove fever, and promoting the secretion of saliva and relieving thirst, etc.

The invention discloses a combined pretreatment method for efficiently separating bagasse biomass components, which mainly comprises the following steps: preimpregnating in dilute sulfuric acid; carrying out steam explosion treatment; washing with hot water; extracting; and carrying out enzymolysis. In the combined pretreatment method disclosed by the invention, on the basis of different physicochemical properties and structural features of the three components (hemicellulose, cellulose and lignin) in the bagasse, the component hemicellulose is sufficiently degraded and separated by dilute acid preimpregnation-steam explosion pretreatment, thereby reserving most of the cellulose and lignin; and the lignin is extracted by using a lower alcohol-alkaline water system, leaving high-cellulose-content residues. On the premise of low concentration of the added enzyme, the invention obviously increases the enzymolysis rate, and raises the conversion rate and comprehensive utilization rate of the bagasse biomass resource.

A method for removing hydrogen sulphide (H2S) from a natural gas stream comprising methane (CH4) and H2S comprises:—cooling the natural gas stream in a heat exchanger assembly (13,16,18);—feeding at least part of the cooled natural gas stream through a feed conduit (19,21) into a cyclonic expansion and separation device (1) in which the cooled natural gas stream is expanded in a nozzle (4) and thereby further cooled to a temperature and pressure below the dew point of H2S and is separated by inducing the cooled natural gas stream to swirl in a tubular separation chamber (9) thereby inducing centrifugal forces to separate the cooled natural gas stream into a cooled low density fluid fraction, which is H2S depleted and methane enriched, and a cooled high density fluid fraction, which is H2S enriched and methane depleted;—feeding the cooled low density fluid fraction to a product gas conduit (33) which is connected to the heat exchanger assembly (14) for cooling the natural gas stream fed to the cyclonic expansion and separation device (1); and—feeding the cooled high density fluid fraction to a fractionating column (8) for further separation.

The invention relates to an integrated terahertz superstructure nano-biochip as well as an application and a method thereof. The integrated terahertz superstructure nano-biochip comprises a micro-fluidic filter membrane sorting chip structure and a THz superstructure signal detection module, wherein the micro-fluidic filter membrane sorting chip structure and the THz superstructure signal detection module are connected by virtue of a channel which is provided with a barrier valve; the chip, which combines the principles of filter membrane sorting and antibody capture immobilization, has the advantages of being high in sorting efficiency and high in sorting speed; and by designing a micro-fluidic lumen and a terahertz superstructure detection array of specific size, and through a method of displacing ambient water molecules by fluorocarbon oil, the sensitivity of detection can be greatly improved, and the chip is applicable to THz detection of circulating tumor cells (CTCs); and the chip has important significance to integrated, automatic and portable detection of the CTCs.

An apparatus for and method of storing video data comprising receiving an MPEG video stream comprising I-frames and P-frames, separating the I-frames from the P-frames, storing the I-frames and the P-frames separately, and providing information so that the I-frames and the P-frames can be combined to produce a full-motion video.

The invention relates to a system and method for measuring a heart rate of a fetus. The system for measuring the heart rate of the fetus comprises a maternal electrocardiosignal acquisition unit, a belly mixed signal acquisition unit, an electrocardiosignal processing unit and a fetus heart rate calculating unit, wherein the maternal electrocardiosignal acquisition unit is used for acquiring a maternal electrocardiosignal from a mother body, the belly mixed signal acquisition unit is used for acquiring a belly mixed signal which comprises the maternal electrocardiosignal and a fetus electrocardiosignal from the belly of the mother body, the electrocardiosignal processing unit is configured to receive the maternal electrocardiosignal from maternal electrocardiosignal acquisition unit and the belly mixed signal from the belly mixed signal acquisition unit, the electrocardiosignal processing unit identifies the position of an R wave of the maternal electrocardiosignal and determines a QRS wave band signal of the maternal electrocardiosignal based on the position of the R wave of the maternal electrocardiosignal, the electrocardiosignal processing unit removes the QRS wave band signal of the maternal electrocardiosignal from the belly mixed signal to obtain the fetus electrocardiosignal, and the fetus heart rate calculating unit is configured to identify the position of an R wave of the fetus electrocardiosignal, and calculates the heart rate of the fetus according to the time interval between two adjacent R waves of the fetus electrocardiosignal.

The invention discloses a soilless plant cultivation substrate and a preparation method thereof. The preparation method of the cultivation substrate disclosed by the invention comprises the following steps: firstly, uniformly mixing agricultural and forestry waste, water, a fermentation catalyst, a fermentation fungicide, bamboo vinegar and / or pyroligneous liquor to carry out fermentation treatment for the first time to prepare a first fermentation substrate; and then, adding the fermentation catalyst, the water, the bamboo vinegar and / or the pyroligneous liquor into the first fermentation substrate to carry out fermentation treatment for the second time to obtain the soilless plant cultivation substrate, wherein the fermentation catalyst comprises rhamnolipid. The plant cultivation substrate prepared by the preparation method disclosed by the invention is balanced in nutrition, high in nutritional ingredient content, reasonable in structure, stable in physical property and convenient for being absorbed by plants, satisfies plant growth needs, improves survival rate for plant cultivation and ornamental effect.

The invention belongs to the technical field of big data, and discloses a multi-source data aggregation sampling method and system based on a big data environment, and the method comprises the steps:collecting a plurality of original data sources, wherein each original data source comprises a data source name and at least one association domain; cleaning and identifying the acquired data source,and removing redundant of the acquired data source; obtaining an original strategy list by utilizing a construction program according to the original data source, and sorting the original strategies in the original strategy list to form a strategy list between the data sources; carrying out fusion processing on different source data sets by utilizing a fusion program; carrying out word segmentation on the fused file to form a two-dimensional word frequency matrix of file words; setting a balance verification numerical value, circularly matching each word, and carrying out snowball sampling; and displaying the acquired multi-source data by using a display. According to the method, distributed computing is completed by scheduling the computing nodes by the Spark through the preprocessing module, more efficient data preprocessing can be achieved, practicability is high, and the application range is wide.

The invention discloses an energy-using data analysis system based on data mining. The system comprises a (1) a data integration module, (2) a data-mining-based data analysis module and (3) an intelligent data processing module, wherein the the data-mining-based data analysis module is used for analyzing the data in a classifying and itemizing way; the intelligent data processing module comprises a missing value processing module and a data analysis and predication module; the missing value processing module is used for selecting a missing value to compute the acquisition loss of model compensating electric quantity data; and the data analysis and predication module is used for carrying out the data mining by artificially triggering an explore mode, selecting a data algorithm module to process the selected data, and carrying out the normal data mining under a normal mode. After the data analysis system disclosed by the invention is used, the comprehensive analysis and process of a data system can be effectively guaranteed, so that the analysis and process work of the energy-using data can be completed. Furthermore, the data can be effectively preprocessed by certain algorithms in the aspects of data mining in the prior art, so that the electric energy data quality evaluation and the electric energy data analysis and predication can be carried out through the advanced and effective algorithm after the processing.

The invention provides a method and device for processing images. The method comprises the steps of obtaining the images to be recognized, wherein the images to be recognized comprise character images; carrying out edge cutting processing on the obtained images to obtain an effective range, containing the character images, of the images to be recognized; carrying out preprocessing on the images in the effective range of the images to be recognized to obtain the preprocessed character images; using multiple recognition engines to carry out recognition on the preprocessed character images; outputting a reliable recognition result when the recognition result of the preprocessed character images and at least one of the recognition engines is determined to be reliable. The method and device for processing the images can solve the problems that when image recognition is carried out, effective information in the images cannot be obtained accurately, and the recognition function is single.

The invention relates to a production method for fuel ethanol. The method comprises the following steps: (1) pretreating a fiber raw material and a cheap carbon source raw material; (2) mixing the pretreated fiber raw material and the pretreated cheap carbon source raw material and carrying out pre-enzymatic hydrolysis, wherein a weight ratio of the cheap carbon source raw material to the fiber raw material is 1: 3 to 3: 1 on a dry basis, an obligate hydrolase preparation is used in the process of pre-enzymatic hydrolysis, and the obligate hydrolase preparation contains cellulase and comprises diastase and / or inulase at the same time; and (3) selectively adding a fermentable sugar raw material in the fiber raw material having undergone pre-enzymatic hydrolysis, adjusting a temperature to 24 to 44 DEG C, adding saccharomyces cerevisiae and carrying out synchronous saccharification and joint fermentation for production of ethanol. The method provided by the invention can effectively increase the concentration of ethanol in the fermentation broth of the fiber raw material and reduce energy consumption in the phase of concentration of ethanol and has the advantages of simple production flow and high ethanol yield.

The invention relates to a complex network key node cluster mining method, and specifically discloses a complex network key node cluster mining method based on combination optimization, which is usedfor solving problems of simplified technical indexes, high cost needed for node mining, limited propagation range, insufficient amount of propagation information and no consideration of a strengthening function of reachable neighbors to node centrality in the existing method. The method provided by the invention has the following steps: 1, building an input network model; 2, selecting indexes forpreprocessing network nodes; 3, calculating an initial key node cluster S<2> and a to-be-optimized node cluster S<3>; 4, selecting an objective function of key node cluster combination optimization; 5, performing combination optimization; 6, outputting a key node cluster S. The method provided by the invention has the advantages of preprocessing network node groups, selecting limited nodes for performing combination optimization, being low-complexity in calculation, considering various indexes, preprocessing the network nodes and performing combination optimization for the obtained nodes, andmining the key node cluster which needs low cost for mining, has wide propagation range and large amount of propagation information, and considers the strengthening function of the reachable neighborsto node attributes.

This invention relates to a process for production of ethanol from lignocellulosic material. Lignocellulosic material treated with a dicarboxylic acid, preferably with oxalic acid, separating a hemicellulosic fraction to ferment pentose sugar. The lignin is dissolved in alkali, preferably with NaOH, separating a cellulose fraction for further enzymatic treatment with one or more than one cellulytic enzymes capable of hydrolyzing cellulose. The enzyme hydrolyasate is further subjected to fermentation in the presence of ethanol-producing yeast, preferably Sacchoromyces cerevisiae. The fermented broth is further subjected to distillation followed by dehydration to yield ethanol.

The invention disclose a data processing system based on data attribute, comprising: a memory for storing a database, which stores an incidence relation based on data attribute; a storage support device; a data attribute service processing device for preprocessing data in the database based on the incidence relation between data attribute and data; a subsystem service processing device for processing data according to a specified application requirement with the preprocessing result of the data attribute service processing device; a service control device for receiving the specified application requirement, allocating the requirement to the corresponding subsystem service processing device for processing, and returning the processing result; an external interface for supplying connection with external equipment; a control computer for controlling operation of the data processing system. The invention also provides a data processing method, a data processing framework based on data attribute and a method for building the framework.

There are provided a data preprocessing device and a method thereof. A data preprocessing device according to an embodiment of the present disclosure includes a risk level analyzing unit configured to calculate a failure risk level of a target system using failure history information of the target system and characteristic information of the target system; a collection period setting unit configured to determine a data collection period from the target system according to the calculated failure risk level; and a preprocessing unit configured to preprocess data collected from the target system according to the data collection period.

The invention relates to the field of surface modification treatment of medical materials and particularly discloses a technology for uniform deposition of HA (hydroxyapatite) coatings on medical porous titanium and titanium alloy. The technology for deposition of the HA coatings on the porous titanium and titanium alloy comprises processes including pretreatment of a porous metal base material, preparation of an electroplating solution and electro-deposition. In the pretreatment process, effective mechanical grinding and cleaning treatment can be performed on inner and outer surfaces of porous metal; in the electro-deposition process, HA electro-deposition treatment can be performed on the porous metal by using a rotating electrode electrolysis device, the thickness of diffusion layers on the inner and outer surfaces of the porous metal can be effectively reduced, and the problem that electro-deposition technologies of inner and outer surfaces of a porous structure are not synchronous can be effectively solved under the diffusion mixing controlled condition; uniform HA electro-deposition layers on the inner and outer surfaces of the porous metal are obtained by adjusting the rotating speed.

The invention discloses Grabcut-based sandstone particle improved segmentation algorithm research, and provides a sandstone particle size segmentation algorithm based on an image. Firstly, a method for adaptively and automatically generating a target candidate box is provided, a foreground and background mixed model can be quickly segmented from a background image, the time for manually drawing the box is greatly shortened, and the requirement for real-time performance in an engineering field is met; secondly, the mass center of the super-pixel image of the SLIC is clustered by adopting a K-Means clustering method based on the SLIC, so that the number of samples participating in clustering can be greatly reduced; the Gibbs energy function can determine the weights of the two segmented edges; in order to reduce the number of iterations of foreground and background segmentation of an unknown label of Grabcut in a candidate box, an information entropy function with a certain weight is added to an energy function of Gibbs, segmentation information of a segmented image is supervised, and the real-time performance of the system is further optimized. The invention can be applied to real-time on-line analysis of the grain size of the sandstone in a factory.

The invention relates to a high-efficiency method for preparing low-sulfur molybdenum trioxide from molybdenite by roasting, and belongs to the field of molybdenum metallurgy. According to the invention, molybdenite processed through crushing and ball milling is placed in a quartz tube; the quartz tube is placed in a microwave cavity; a protective gas, namely nitrogen gas, is introduced for emptying air in the quartz tube; microwave is turned on, and output power is adjusted; the molybdenite is subjected to microwave radiation pretreatment for 10-20min under nitrogen gas protection; the molybdenite obtained after the microwave pretreatment is placed in a resistance heating furnace; temperature is set to be 550-600 DEG C; compressed air is blown in; the temperature is maintained for 2h, such that molybdenum trioxide with sulfur content lower than 0.1% is obtained. According to the invention, advantages of microwave heating and electronic heating are combined, and the method has the advantages of low energy consumption, high efficiency, high product quality and the like.

The invention relates to a straw-degrading composite microbial inoculum which is prepared by mixing a microbial inoculum No.I and a microbial inoculum No.II, wherein the microbial inoculum No.I comprises phanerochete chrysosporium, cacillus and streptomycete; and the microbial inoculum No.II comprises trichoderma, penicillium, aspergillus and actinomycete. The application method of the high-efficiency straw-degrading composite microbial inoculum in pretreatment of ethanol production comprises the following steps: soaking crushed straws in ammonia water to carry out cleaning treatment; adding a nutrient solution to prepare a fermentation substrate; spraying the high-efficiency straw-degrading composite microbial inoculum, and carrying out fermentation treatment for two days; and filtering,and washing with water to neutral, thus obtaining the pretreatment product for ethanol production. The invention has the following advantages: the treatment of soaking straws in ammonia water is beneficial to removing lignin, increasing the enzyme contact area of celluloses and hemicelluloses and improving the pretreatment efficiency; and by combining the microbial inoculum and the fermentation process to degrade straws, different microbes can secrete complementary enzymes in the degradation process, so that the substrate can be thoroughly degraded, thereby improving the biomass resource utilization rate. Besides, the invention is simple in process and convenient to implement, and can not do harm to the environment.

The application provides a kit for detecting drug residues in meat. The kit contains a hybrid cation exchange solid-phase extraction column, an extract of adamantanamine, quinolones and sulfanilamide medicines, a first leacheate, a second leacheate, an eluate and a reconstitution fluid. The invention also provides a drug residue detection method by the use of the kit. Pretreatment methods of the above three medicines are integrated to design a kit for simultaneous pretreatment of drug residues of adamantanamine, quinolones and sulfanilamide medicines. The kit can be used for pretreating the above three medicines simultaneously. After pretreatment, chromatography or mass spectrometry of a sample can be carried out by a conventional technology.

The invention discloses a ship hydrodynamic performance evaluation method. The method comprises the following steps: selecting a parent ship; based on the ship type, constructing a series of sample points by adopting a Latin hypercube algorithm, constructing a series of sample ship types similar to the parent ship by adopting an arbitrary curved surface deformation algorithm, calculating six target values of all the sample ship types in waves by adopting a Reynolds average-fluid volume function method, and forming a sample data set; and then training a deep belief network model by adopting thesample data set, determining the accuracy of the constructed deep belief network model through accuracy verification, and finally evaluating a new ship type similar to the parent ship by the trainedmodel. The characteristics of ship sailing on the sea are comprehensively considered, the ship type with better performance in waves can be obtained, the applicability of ship type optimization is improved, the six hydrodynamic performance of the ship under the wave working condition can be effectively and rapidly calculated, and meanwhile the accuracy of data calculation can be guaranteed.

An apparatus and method for wet pre-treatment of an effluent gas derived from upstream semiconductor or LCD manufacturing tools before the effluent gas is processed in an effluent gas treatment system in provided. The apparatus comprises an atomizing spray nozzle for atomizing a reagent and a processing section in which the effluent gas in pre-treated with the atomized reagent using a cyclone method. The processing section comprises an inner tubular portion and an outer tubular portion. The processing section has an effluent gas inlet, a reagent inlet, an effluent gas outlet, and a waste liquid outlet. An apparatus is also provided which includes a plurality of wet pre-treatment units, each of which pre-treat each of effluent gas streams derived from a plurality of CVD chambers.

In wastewater treatment equipment, a surfactant is added to a micronanobubble reaction vessel 3 by using a surfactant pump 8 and a surfactant tank 9 which constitute a surfactant adding section. Thereby, a micronanobubble generator 4 stably and efficiently produces micronanobubbles in the treatment water as raw water containing the surfactant in the micronanobubble reaction vessel 3. Thus, the micronanobubbles make it possible to efficiently pretreat the wastewater introduced into the micronanobubble reaction vessel. Consequently, it becomes possible not only to enhance efficiency of wastewater treatment but also to reduce a treatment load on wastewater treatment equipment 14 in a step subsequent to the pretreatment. Thereby, scale of the wastewater treatment equipment 14 is reduced.

The invention discloses a soilless plant culturing medium and a preparation method thereof. The preparation method includes the steps of: uniformly mixing forestry and agricultural wastes, water, a fermentation conditioner, a fermentation inoculant, and bamboo vinegar liquid and / or wood vinegar liquid to perform primary fermentation to obtain a first fermentation substrate; adding the fermentation conditioner, water and the bamboo vinegar liquid and / or wood vinegar liquid to perform secondary fermentation. The fermentation conditioner includes [beta]-cyclodextrin, sawdust and bottom mud from fish pool. The plant culturing medium has balanced nutrients, is high in content of the nutrients, has reasonable structure and stable physical characters, is convenient to absorb by plants, satisfies demand of growth of plants, and improves survival rate and ornamental effect of plants.

The invention provides a multi-agent reinforcement learning method and system based on a hierarchical attention mechanism, and the method comprises the steps: building a learning environment which comprises a plurality of agents, enabling a Critic network to calculate estimated values based on the observation values and action values, obtained by the hierarchical attention mechanism of each agent,of other agents in the plurality of agents, optimizing through a minimum joint loss function until the minimum joint loss function converges, calculating an action value function based on the observed value, the action value and the trained estimated value in combination with an estimated Actor network, optimizing through a maximized dominance function until an optimal action value function is obtained, and calculating an optimal action-value function based on the optimal action value function. and performing a deterministic action; A hierarchical attention mechanism is combined with an Actor-Critic network framework, so that the expandability of the intelligent agent in an environment to which the intelligent agent belongs can be enhanced for learning.

A device for detecting characters in an image includes a Hough transformer implemented to identify, as identified elements of writing, circular arcs or elliptical arcs in the image or in a preprocessed version of the image. The device further includes a character description generator implemented to obtain, on the basis of the identified circular arcs or elliptical arcs, a character description which describes locations of the identified circular arcs or elliptical arcs. In addition, the device includes a database comparator implemented to compare the character description with a plurality of comparative character descriptions which have character codes associated with them, so as to provide, as a result of the comparison, a character code of a detected character.

The invention discloses a characteristic peak extraction method for a low signal-to-noise ratio ultraviolet Raman spectrum, and belongs to the field of spectrum detection and spectrum processing technologies and signal processing. The method comprises the following steps of collecting ultraviolet Raman signals in real time, counting collected Raman signal data, and predicting the effective peak value of the Raman signals; processing each frame of collected Raman spectrum, for each frame of Raman spectrum, segmenting each frame of Raman spectrum into various block areas through the obtained effective valley, and respectively judging attributes of the segmented block areas; for each noise area, enabling each point to be equal to the minimum value of the area, and then splicing the Raman signal area and the processed noise area; splicing the processed N + 1 frames of spectrums along a time axis to form a 2D image, filtering the 2D image through an iterative bilateral filtering method, and superposing and normalizing the N + 1 spectrums along the time axis after filtering to obtain a clean Raman characteristic peak spectrum image.