34results about How to "Full description" patented technology

The invention relates to a multi-data set and collaborative tensor decomposition-based scenic spot recommendation method. According to the method, user behavior information of different data sources is utilized to provide fine-grit travel recommendation services for the users. The method comprises the following steps of: firstly obtaining information of a plurality of data sets from a social network site; constructing a user-scenic spot-time tensor on the basis of user travel history information, combining a collaborative tensor decomposition model to decompose and complement the tensor so as to obtain travel preferences of the users; and finally recommending proper scenic spots according to the complemented user-scenic spot-time tensor and travel cities and time scene information input by users. According to the method, time perception-based scenic spot recommendation services can be provided for the users.

The invention relates to a judgment method of power grid power-saving level. The judgment method comprises establishment of judgment index set of 'power-saving power grid' : all kinds of energy consumption of each link in the process of power grid operation are analyzed from power transmission and distribution, and all kinds of energy consumption are classified into for categories according to different properties, namely energy consumption of power grid structure, energy consumption of power grid operation, energy consumption of power grid equipment, and energy consumption of power grid management. Corresponding judgment index and formulas of the index are given to each kind of energy consumption, and energy consumption index system of assessment of power grid energy-saving features is formed based on all above. Power grid energy-saving level is judged by the formulas of the index to obtain energy consumption level of each link. Energy consumption structure of each link and energy-saving potential of each link is disclosed. Low efficiency link and reasons of low efficiency are found through identification and comparison. Construction of an evaluation index system of energy-saving power grid provides direct basis for the analysis and evaluation of energy-saving level of power grid.

The invention relates to a GIS-based three-dimensional management platform construction method, system and device, and a medium, and the method comprises the steps of importing and displaying a pre-obtained original three-dimensional GIS model, and obtaining a target three-dimensional GIS model; integrating a two-dimensional offline map to obtain a two-dimensional map model; and carrying out linkage on the target three-dimensional GIS model and the two-dimensional map model to obtain a target three-dimensional management platform. According to the constructed target three-dimensional management platform, the abstract data can be associated with the entities, such as equipment, buildings, etc., for the comprehensive management and the three-dimensional display, so that multiple data sources can be supported, the function expansibility is high, the linkage between the associated equipment is high, and the management efficiency can be greatly improved.

The invention discloses an image fusion method based on a mixed model, which comprises the following steps: firstly transforming a color image from RGB space to IHS space through IHS transformation, and then forming two parts of high frequency and low frequency through NSCT theory. Then, the absolute value selection method and the second kind of Chebyshev polynomials are used to fuse the high-frequency part and the low-frequency part respectively. Finally, the inverse transformation and intensity inverse transformation are used to obtain the fusion result, and the final RGB fusion image is obtained through IHS inverse transformation. Compared with other existing fusion methods, the method of the invention has the advantages of abundant information and high definition.

The invention discloses a brain magnetic resonance image registration method based on a K-means clustering method. The method comprises the steps that firstly, an accumulated angle point set is acquired through mixed angle point detection of a Harris operator and a SUSAN operator, a new angle point set is screened out through angle point strength, rough matching screening is carried out through a cross correlation coefficient method, then angle points are clustered by introducing the K-means clustering method, precise angle point pairs are screened out by combining a normalized correlation method and a voting matching method, finally, the angle point set is optimized through a Powell algorithm, a rebuilt parameter value is obtained, and final registration is carried out on images. The brain magnetic resonance image registration method has the advantages that good stability is achieved, feature point information can be described completely and accurately, the running time of a program in subsequent operation is reduced, registration accuracy is improved, an image registration algorithm is improved more precisely and efficiently, and a transformation image fluctuant within a large range can be compatible better.

The invention provides a method for CBTC interlock system access state modeling and relates to the technical field of train operation control. The method comprises a first step of formulating access states according to CBTC interlock system access control restriction relations, and establishing an access state transition diagram according to the access states; a second step of abstracting the access state transition diagram according to CBTC interlock system access control behaviors, and obtaining an access state transition model; a third step of performing logic and time sequence operation on the states in the access state transition model according to a data flow diagram modeling method, driving conversion of different states, and obtaining a CBTC interlock system access state model. Two modeling methods including a data flow diagram and a state machine in an SCADE are effectively integrated together, mutual nesting and seamless connection of two models are achieved, and the access states of a CBTC interlock system can be described accurately and completely.

The invention discloses a holographic grating preparation system and method. The holographic grating preparation system comprises: a light source and a holographic material, a beam expanding device which is arranged on a light path between the light source and the holographic material and is used for expanding the passing light beam; a light splitting device which is used for splitting a source light beam emitted by the light source into a first split light beam and a second split light beam; a first light reflecting device and a second light reflecting device which are respectively used for reflecting the first split light beam and the second split light beam to the holographic material; a movable baffle plate which is arranged between the beam expanding device and the holographic material, wherein the movable baffle plate moves according to preset parameters to change the cross sectional areas of the light beams emitted to the holographic material by the first light splitting light beam and the second light splitting light beam; a control system which is used for controlling the movable baffle to move according to preset parameters; and a holographic material which is used for being exposed by interference fringes formed by the first split light beam and the second split light beam to form a holographic grating. According to the invention, the high-quality holographic grating with variable diffraction efficiency can be prepared.

The invention discloses an emotion reply automatic generation method for an open domain dialogue system, and aims to enable the dialogue system to automatically generate replies rich in content and appropriate in emotion according to input statements of a user. The method comprises the following steps: firstly, preprocessing input and reply statements of each sample in a corpus based on a word embedding table and a VAD sentiment dictionary to obtain an input and reply word embedding sequence and a sentiment embedding sequence; secondly, splicing word embedding and emotion embedding to expand word embedding, introducing replied emotion distribution information into the model, and encoding a spliced sequence in an encoder to obtain input and replied semantic representation vectors containing emotion information; and finally, predicting approximation of conditional prior distribution and posteriori distribution by using semantic representation vectors, sampling latent variables, and reconstructing replies and emotion distribution of the replies through the latent variables. When reply statements are generated, multiple replies are generated through multiple times of sampling, then the sequences are combined with the sequence model and the VAD dictionary, automatic scoring is conducted from the perspective of grammar, semantics and emotion of the replies, and the optimal reply isselected.

The invention discloses a method for establishing a fracture-vuggy reservoir seismic numerical model. The method comprises the steps of a step of establishing a hole distribution model, wherein the hole distribution model of a to-be-analyzed fracture-vuggy reservoir is established based on a random medium theory, and the hole distribution model comprises a background medium area and a hole area; a step of selecting a fracture elasticity parameter, wherein the fracture elasticity parameter of the to-be-analyzed fracture-vuggy reservoir is determined according to the geometrical parameter of the crack of the to-be-analyzed fracture-vuggy reservoir; and a step of establishing the fracture-vuggy reservoir model, wherein the fracture elasticity parameter is endowed to the background medium area, and the known elasticity parameter of a hole inclusion matter to the hole area, and obtaining the seismic numerical model of the to-be-analyzed fracture-vuggy reservoir. The method of the invention has advantages of representing the anisotropic characteristic of the fracture medium of the fracture-vuggy reservoir, representing the scattering characteristic of a random hole in the reservoir, describing the fracture-vuggy reservoir in which fractures and holes coexist, and realizing an important meaning in researching and analyzing the fracture-vuggy reservoir and oil gas exploration.

The invention provides a horizontal gas well liquid holdup calculation method based on a flow pattern conversion limit, which comprises the following steps of: constructing a three-parameter equation according to the change trend of the liquid holdup along with the gas flow velocity, substituting the calculated liquid holdup of the annular flow-stirred flow transition point, the stirred flow-slug flow transition point and the slug flow-bubble flow transition point in the drooping pipe under the normal pressure/normal temperature condition at a certain wellbore liquid flow rate and the corresponding gas flow speed into an equation, and iteratively solving the coefficient of the three-parameter equation; then, correcting the liquid holdup of the vertical section by adopting an angle correction term to obtain a new normal-temperature and normal-pressure liquid holdup model with a certain inclination angle, and converting the airflow velocity under high pressure into the corresponding airflow velocity under normal pressure by utilizing dimensionless norm based on a flow similarity criterion; and finally, substituting the converted corresponding airflow velocity under normal pressure into the new model to obtain the liquid holdup of the horizontal gas well under a certain pressure condition. The method does not need comparison and optimization of a large number of models and flow pattern judgment calculation, can directly calculate the liquid holdup of the whole shaft of the horizontal gas well according to the apparent velocity of the gas phase, and is simple, convenient and accurate.

The invention relates to a pedestrian re-identification method based on human skeleton key point detection and unequal partitioning, and the method comprises the following steps: (1), preparing a pedestrian data set, dividing the pedestrian data set into a training set, a verification set and a test set, and marking the training set; (2) sending to a ResNet50 network to obtain a sensor A representing human body characteristics; (3) according to the relative invariance of the human skeleton area, carrying out non-uniform partitioning on the sensor A according to the key points of the human skeleton, and respectively representing the head, chest, abdomen, thighs, shanks and feet of the human body; (4) respectively connecting FC layers, and classifying the FC layers by using a Softmax classifier; and (5) during verification and testing, combining the n feature vectors to calculate similarity, thereby realizing pedestrian re-identification. The pedestrian re-identification method based onhuman body key point detection and non-equal partition has stronger generalization ability and higher accuracy.

The invention relates to the application of spinel ferrite magnetic nano-catalysts in oil desulfurization, which belongs to the field of petrochemical industry. The invention first utilizes co-precipitation M ²⁺ and Fe ³⁺ Chloride to prepare MFe ₂ o ₄ Ferrite magnetic nano-catalyst, the prepared catalyst has a strong structure, high temperature resistance, and is not easy to agglomerate; it is used in the process of oxidative extraction and desulfurization, with high reactivity, good desulfurization effect, convenient recovery, and good catalyst reuse effect; it can not only catalyze hydrogen peroxide as the oxidant The oxidative extraction desulfurization process can also catalyze the desulfurization process using the easy-to-obtain inorganic persulfate directly as the oxidant.