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 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 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 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 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.

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 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.