336results about How to "Easy to explore" patented technology

A method and system is provided for autonomously downloading and indexing Hidden Web pages from Websites having site-specific search interfaces. The method may be implemented using a crawler program or the like to autonomously cull Hidden Web content. The method includes the steps of selecting a query term and issuing a query to a site-specific search interface containing Hidden Web pages. A results index is then acquired and the Hidden Web pages are downloaded from the results index. A plurality of potential query terms are then identified from the downloaded Hidden Web pages. The efficiency of each potential query term is then estimated and a next query term is selected from the plurality of potential query terms, wherein the next selected query term has the greatest efficiency. The next selected query term is then issued to the site-specific search interface using the next query term. The process is repeated until all or most of the Hidden Web pages are discovered. In one aspect of the invention, the efficiency of each potential query term is expressed as a ratio of number of new documents returned for the potential query term to the cost associated with issuing the potential query.

The invention relates to a shale gas resource / reserve measurement method. The method comprises the following steps: (1) determining a shale gas resource / reserve calculation unit; (2) identifying a shale stratum according to the shale gas resource / reserve calculation unit determined in the step (1); (3) determining shale gas resource / reserve parameters of the shale stratum; and (4) calculating the shale gas resource / reserve of the shale stratum according to the shale gas resource / reserve parameters of the shale stratum, which are determined in the step (3). The shale gas resource / reserve measurement method provided by the invention has strong feasibility and reliability, and can calculate the shale gas resource / reserve of different exploration areas in all exploration periods, thereby finding out the resource potential and economic benefits of the exploration areas.

A method of performing routing in relation to a multi-modal transportation network involves representing a multi-modal transportation network using a plurality of segments, each being indicative of a navigable segment of the network, and each segment having data representative of a traversal time for the segment associated therewith. The plurality of segments of the multi-modal transportation network includes a first subset of segments indicative of a public transport network, and a second subset of segments indicative of a road network which may be joined, left and travelled through by a user substantially freely at any time. The traversal time data associated with origin segments of the public transport network associated with interchange points with the road network is based on a transit time indicative of a time taken to both train and road networks travel along the segment, and an additional waiting time. A route search is performed between an origin and a destination within the multi-modal transportation network using the traversal time data associated with the segments of the network in order to obtain one or more multi-modal route through the transportation network.

A zero-sample classification method based on antagonistic self-encoder model is provided. Using countermeasure self-encoder networks trained on visible classes, selecting network parameters w and v that best approximate the distribution of visual features and associate visual features with category semantic features, then the class semantic feature at of the unseen class is inputted into the network, and the Euclidean distance between the generated visual feature and the real visual feature is calculated by using the decoder network G. Finally, the category with the smallest distance is considered as the predicted category, so as to realize the task of zero-sample classification. The invention is more consistent with the characteristics of the real data, and simultaneously aligns the visual features and the category semantic features, so that better classification effect can be realized in the zero-sample task.

The invention provides a distributed multi-AGV dynamic task allocation and path planning method and system. The system mainly comprises an upper task management host and a plurality of isomorphic AGVs. The upper task management host is responsible for task management and distribution, and the upper task management host is mainly composed of a task information management module, a bidding task distribution module and a host wireless communication module. The AGVs are responsible for respective task path planning and execution, and each AGV is mainly composed of an AGV wireless communication module, an AGV task management module, an AGV bidding module, a single task path planning module, a task sorting module and a task execution module. According to the method, decentralized management among multiple AGV individuals can be realized, so that the problems of large calculation amount and low efficiency of path planning under dynamic tasks are solved. The efficiency of AGV execution of all tasks is improved, the management cost of a warehouse is reduced, the operation efficiency is improved, and the method has a relatively good application prospect.

A multifunctional in-situ electrochemical measuring device used for the tension test belongs to the electrochemical field. The multifunctional in-situ electrochemical measuring device used for the tension test is characterized in that a reference electrode, an auxiliary electrode and a working electrode are arranged in a top cover of the multifunctional in-situ electrochemical measuring device according to design and measurement requirements; the conductive wires of all the electrodes are connected with an electrochemical workstation; the air input of an air inlet and the air output of an air outlet are adjusted; an installed heating resistor and a thermocouple are connected with a temperature controlling device; the water flow of a water inlet and the water flow of a water outlet are adjusted, and the water inlet and the water outlet are connected with an externally connected water pump. The rotation time of a stepping motor is set, electrochemical parameters of a tensile test sample are measured after the temperature and the pressure are increased to the parameters required by the tension test, and the tension test is conducted after the force of the tensile test sample is adjusted. The multifunctional in-situ electrochemical measuring device used for the tension test has simple and easy method, can measure the electrochemical parameters of the tensile test sample in a long time and can simulate the temperature, the moisture, the gas, the alternation of wetting and drying, the surface scouring, the multiphase medium and complex environment of the tensile test sample.

The present invention relates to an image and video processing method, especially to a method for extracting and correlating video interested objects based on a two-stage interaction. In the method, a user performs an approximately positioning interaction by using a kind of interaction method which is not limited to a general mode and with a low requirement for priori knowledges, and then performs multiparameter extraction on the interested objects by using a quick and realizable extraction algorithm. Based on the most suitable interested object obtained by the reselection and interaction, the present invention performs searching and weighting by extracting various characteristics to obtain a final result, picks out corresponding images and additional information from a value-added information base, and shows the information at peripheral of the video. The method correlates the value-added information to the interested object of the user without influencing watching of the user by fully mining video information and ensuring preference of the user, thereby satisfying the requirment of the user that the area of interest needs to be looked into and further explored.

The invention discloses lncRNA and application thereof as a detection marker or a prognosis recurrence marker for breast cancer combined with lung cancer. The lncRNA is at least one of the following nucleic acid molecules: (1) nucleic acid molecules with cDNA sequences as shown in SEQ ID NO.1, SEQ ID NO.2 or SEQ ID NO.3; and (2) nucleic acid molecules with 90% and higher homology with the nucleic acid molecules with the cDNA sequences as shown in the SEQ ID NO.1, SEQ ID NO.2 or SEQ ID NO.3. According to the lncRNA and application thereof, a group of lncRNAs are screened out as the molecular markers for the breast cancer combined with lung cancer, associated primers are optimized for preparing primer probe chips, and the lncRNA has the advantages of low detection cost, high sensitivity and the like; and the lncRNA and application thereof take the breast cancer combined with lung cancer, such combined cancer, as an example, and take the lead in filling up the blank in research of the combined biological marker lncRNA in China. The lncRNA and application thereof adopt a group of lncRNAs as associated biological markers for combined cancer, and can effectively improve the clinical diagnosis and prognosis evaluation of the combined cancer for instructing clinical treatment.

The invention relates to the technical field of path planning, in particular to an improved RRT-based underwater vehicle rolling planning algorithm capable of effectively improving search efficiency.Compared with a basic RRT algorithm, the improved RRT algorithm utilizes node visibility to obtain a node extension direction and the node extension step length through 2-layer selection, the simulation experiment shows that the algorithm is higher in the search efficiency compared to the rolling planning based on the basic RRT, searches the improved RRT algorithm and the basic RRT algorithm in aplurality of complex environments, the experiment data shows that the improved RRT algorithm is less in the search time in the complex environments and fewer in the corresponding node quantity compared to the RRT algorithm.

The invention discloses a shipboard aircraft sortierecovery online scheduling method based on deep reinforcement learning, relates to the field of shipboard aircraft departure recovery scheduling, andsolves the problem of large-scale shipboard aircraft departure recovery online scheduling on an aircraft carrier deck. According to the method, a shipboard aircraft launch recovery scheduling model is constructed by abstracting a launch recovery process into a Markov decision process, a current state of a shipboard aircraft group is taken as input and taking a scheduling behavior as output and establishing a feature vector with a weight as a reward function. In order to obtain a safe and efficient scheduling strategy, a multi-target scheduling strategy is established, and a scheduling model is trained by using a deep Q learning network by taking shipboard aircraft shipboard displacement, task scheduling time, shipboard conflict times and equipment utilization rate as targets. Experimentaltest results show that the algorithm can quickly process emergencies and does not affect subsequent task execution, and meanwhile, a scheduling strategy with high safety and flexibility is obtained.

The invention provides a method for detecting fMRI brain network dynamic covariations. The method comprises the following steps of: obtaining a sample; Firstly, constructing a brain functional networkby utilizing functional magnetic resonance data; according to a certain basis (factors such as age, disease course length, education degree and the like), different network matrixes are arranged in sequence;obtaining a cross-tested network matrix sequence; then, a sliding window method is used for researching a covariant relationship between ROI brain regions which cross a tested object; and obtaining a series of covariant matrixes, and depicting the difference of the brain interval collaborative activity modes under the trans-tested scale is by calculating mathematical indexes for describing covariant relationship variability or through statistical inspection, so that the interactive relationship between brain regions in the network can be better understood.

The invention discloses a water quality real-time monitoring system. The water quality real-time monitoring system can systematically monitor a water source in real time by arranging a water quality monitoring module on an overwater platform module and performing control through a remote control module, and a data processing and transmission module and a data receiving and analysis module analyze the water quality in real time so as to facilitate exploration of correlation between human activity and water quality change and provide corresponding prevention and control measures; and the combination of the remote control module and the overwater platform module can dynamically control the position of a water quality sampling point, does not need to set a fixed sampling point and can automatically finish monitoring of the water quality; therefore, compared with manual sampling, the cost of the water quality monitoring system can be greatly reduced, and the monitoring result is more accurate.

The invention discloses an automatic drug mixer, comprising two parallel supports, a jib arranged on the supports in rotating cooperation as a corss arm, a spin motor to drive the jib to rotate, a drug mixing pan arranged on the jib and a material receiving apparatus under the drug mixing pan. The drug mixing pan is rotatably cooperated with the jib in a way that the drug mixing pan conducts reciprocating swings towards two ends of the jib, and a swing motor is rotatably cooperated with the drug mixing pan. The spin motor can drive the drug mixing pan to tumble around a jib rotating shaft, meanwhile the swing motor can drive the drug mixing pan to swing around a vertical line of the jib rotating shaft to realize compound movement of the drug mixing pan. The automatic drug mixer can substitute manual drug mixing to realize automation, enhance drug mixing effect and efficiency effectively and improve production environment. rotating speeds of the two motors can be adjusted to realize different movement tracks of the drug mixing pan to facilitate exploration of an optimum drug mixing time and movement track. In addition, the invention can realize automatic quantification material distribution and raise production efficiency effectively.

An enterprise relationship mining method belongs to the field of data mining, and comprises the following steps of defining the relationships , wherein the enterprise relationships comprise a legal person relationship, a shareholder relationship, a job relationship, a branch mechanism relationship, an external investment relationship and a competition relationship; acquiring the data, wherein theenterprise data comprises the business license information, the shareholder information, the employee information, the branch mechanism information and the business range labeling information; cleaning the data, checking the data consistency, and processing the invalid values and the missing values; multi-source data fusion, integrating all the information obtained by investigation and analysis, and performing unified evaluation on all the information; extracting the relationship. The enterprise relationship mining is a core for constructing an enterprise relationship graph, and the enterpriserelationship graph can display the enterprise relationships to the users in the form of structured graphs, so that the users can quickly understand and further explore the enterprise relationships. The enterprise social circles, the enterprise investment circles, the enterprise stock right structures, the enterprise actual controllers, the enterprise risk assessment and the like can be discoveredby mining the enterprise relations.

A simulation device for simulating and exploring the effects of different policies used on a machine in a manufacturing system. The simulation device representing the machine includes controls to allow the participation of an operator in simulation modeling. The operator initiates the simulation process by, for example, loading a block into the simulator according to a hypothesis policy. During the simulation, a computer records all the changes in the system and those changes are transmitted to the computer. When the simulation stops, the total number of items completed by the system represents the throughput of the system during the simulation time. The operator can view the results of the simulation and change the policies and repeat the simulation using the same system structure or parameters.

The invention relates to a device for automatically detecting electrochemical parameters of a high-temperature high-pressure reaction kettle, which belongs to the electrochemistry field. The device relates to an in situ measurement technique of electrochemical reaction, can realize the measurement of the electrochemical parameters on a plurality of working electrodes for a long time, and realize unmanned timing automatic detecting function. A method comprises the following steps: according to design requirements and measurement requirement, fixing a Ag / AgCl reference electrode, an auxiliary electrode and the working electrode in a fixed mould of the high-temperature high-pressure reaction kettle; and fixing a bolt of the needed core at the bottom of the reaction kettle according to the experiment requirement, assembling the cover body part of the reaction kettle, connecting each conducting wire and an electrochemical work station, and connecting the electrodes and terminals of a converter; setting the rotating time of a step electrode, and carrying out measurement after the increased temperature and pressure reach the required parameters. The method of the testing device is simple and practicable, the needed raw materials and the material have low cost and are easy to obtain, and the method has universal adaptability to testers needing to carry out in situ electrochemical measurement for a long time and increases effective working time of the testers greatly.

A visual crack device for simulating crack closure and leak-off and a working method thereof are disclosed. The visual crack device includes: a visual crack simulation plate, a fracturing fluid pump,and a fracturing fluid tank which are connected to from a circulation loop through a fracturing main pipeline; and a sand mixing liquid tank which is connected to the fracturing main pipeline betweena discharging opening of the fracturing fluid tank and the fracturing fluid pump through a branch pipeline; the exterior of the crack simulation plate is a rectangular container, and the interior of the crack simulation plate is divided into three layers by two flat plates; a simulation fracturing crack is arranged between the flat plates; a reservoir simulation space is formed between one flat plate and the rectangular container; stress simulation driving devices are arranged on outer surfaces of the flat plates; leak-off holes are formed in the flat plates; a fluid outlet of the rectangularcontainer is positioned on the bottom of the reservoir simulation space, and is connected to a circulating inlet of the fracturing fluid tank; one end of a shaft is connected to the fracturing main pipeline, and the other end of the shaft is positioned in the fracturing crack; and perforation holes are distributed in the surface of the shaft. The visual crack device completes the leak-off function, can achieve crack closure and re-opening, and can improve the accuracy of the experimental results.

The invention discloses a transcranial direct current stimulation instrument, which comprises a shell and surface electrodes, wherein a display screen and a key are arranged on the shell; a circuit board is arranged inside the shell; the surface electrodes are connected with the circuit board through a lead; a plurality of surface electrodes are included; each surface electrode comprises four cathode electrode plates and an anode electrode plate, wherein the anode electrode plate is arranged at the centre; the four cathode electrode plates are uniformly distributed around the anode electrode plate; the five electrode plates are round conductive rubber electrode plates; a fine sponge layer is arranged at the bottom surface of each electrode plate; the five electrode plates are arranged on a rubber pad at the same time, and the electrode plates are insulated with one another. The transcranial direct current stimulation instrument disclosed by the invention is rational in setting and convenient in use. Because the direction of the current is from an anode to a cathode, a stimulation focused at the centre and accurately positioned can be generated when an encephalic region is stimulated.

The invention discloses a three-dimensional point cloud processing method and device based on geometric unwrapping, and equipment. The method comprises the steps of obtaining and processing point cloud data of an object; carrying out geometric unwrapping on the point cloud data so as to divide the point cloud data into points with large geometric changes and points with small geometric changes according to the geometric change degree; and inputting the point cloud data into a trained convolutional neural network for feature extraction and classification segmentation, the neural network model being used for extracting local features and global features of the point cloud data; and learning mutual supplementary information between the points with large geometric changes and the points with small geometric changes by using a geometric attention module. According to the invention, the accuracy of point cloud data classification tasks and the cross combination rate of segmentation tasks canbe improved.

The invention provides a preparation method of a graphene / carbon black composite particle, belongs to the field of nano-composite materials, and puts an emphasis on solving the problem of poor dispersity of graphene and carbon black in rubber. According to the preparation method, a cross-linked network structure of graphene aerogel is established, the carbon black is dispersed into micropores of the aerogel in a formation process of the graphene aerogel, and the composite aerogel is added into a rubber matrix, so that the aggregation of the graphene and the carbon black in the same rubber matrix when the graphene and the carbon black are respectively added into the same rubber matrix is avoided. The aerogel provided by the invention is a three-dimensional carbon material with large porosity and specific surface area. Therefore, the graphene / carbon black composite aerogel, which can serve as an excellent reinforced material, is applied to reinforcement of the rubber, so that the abrasion resistance of the rubber can be enhanced. The graphene / carbon black composite aerogel has excellent mechanical property and self-structure, so that the application potential of the graphene / carbon black composite aerogel in the reinforcement of high-performance rubber is huge.

A polymer micro-ring resonator and a method of manufacturing the same that is capable of providing reduced surface roughness and improved submicron gap separation between a waveguide and a micro-ring. The microresonator includes a waveguide and an optical resonator optically coupled to the waveguide. The optical resonator includes a core and a cladding surrounding at least a portion of the core, wherein the cladding is a fluid.

In various embodiments, a ranking application automatically ranks designs included in a design space based on user preference(s). The ranking application determines that a first design included in the design space is a first positive example of user preference(s). The ranking application then computes a score associated with a second design that is also included in the design space based on a first attribute value and a second attribute value. The first attribute value is associated with both the first design and an attribute and the second value is associated with both the second design and the attribute. Subsequently, the ranking application orders the designs based on the first score and a second score associated with the second design to generate a ranked list of designs. The ranking application then displays the ranked list of designs via a graphical user interface to facilitate exploration of the design space.

The embodiment of the invention discloses a lithofacies division method for the shale based on Fisher discriminant analysis. According to mineral compositions, a sedimentary structure and organic matter contents, mud rock lithofacies division is carried out to obtain a mud rock lithofacies division class result; a logging identification mode pattern of the mud rock lithofacies is established and awell logging curve class reflecting the lithology of the rock is selected based on the logging identification mode pattern; Fisher discriminant analysis is performed by SPSS software; on the basis ofcore logging data, a mud rock lithofacies class is determined and, the well logging curve reflecting the lithofacies characteristics is selected, and a lithofacies determination classification equation is established; according to a well logging curve of an unknown lithofacies, a function value of the lithofacies discriminant classification equation is obtained; and on the basis of the function value, a mud rock lithofacies division class to which the unknown lithofacies is determined. According to the invention, for the well section being lack of data like the core, logging, and diffractionanalysis, the mud rock lithofacies can be divided in details by using the lithofacies determination equation based on the well logging data, thereby improving the division precision and promoting theoil exploration.

The invention discloses a self-paced-cooperative training learning method. The method comprises the following steps of: obtaining data, from two visual fields, of a target problem, and initializing a model, wherein the data comprises a small amount of labeled data and a large amount of unlabeled data; respectively determining corresponding optimization targets on the two visual fields; embedding a self-paced regular term in a loss function of each visual field so as to realize steady learning under the visual field; associating the two visual fields through a regular term; obtaining a multi-visual field semi-supervised self-paced-cooperative training model which is embedded into a steady learning mechanism and has model interpretation; and obtaining high-quality labeling of the unlabeled data by applying the small amount of labeled data and large amount of unlabeled data in a target field and a semi-supervised multi-visual point learning model, and obtaining reliable learning devices under the two visual fields at the same time. The invention aims at providing a steady learning model with a replacement mode for the traditional cooperative training algorithms to ensure that data lack of labeling in the target field can obtain more correct and high-quality labeling.

A finite element-based mining XLPE cable current leakage dynamic analysis method is provided. The method comprises steps of establishing a cable geometric model with a combination of a mining high-voltage cable structure hung on a metal anchoring net and by the use of COMSOL finite element analyzing software, conducting dielectric spectrum measurement to an XLPE sample to obtain dielectric parameters of the same, fitting the measurement result to achieve numerical relationships between the XLPE dielectric parameters and the temperature, and electric field frequency, then substituting each part material parameter of the cable, arranging an initial condition, conducting mesh division, and conducting simulation calculation to a cable electric field, a thermal field and leakage current, and exploring rules of the leakage current changing with a load factor and the electric field frequency. The method provides theoretical foundation for detection and prevention of cable current leakage.

A bidirectional image-text retrieval method based on a multi-view joint embedding space includes: performing retrieval with reference to a semantic association relationship at a global level and a local level, obtaining the semantic association relationship at the global level and the local level in a frame-sentence view and a region-phrase view, and obtaining semantic association information in a global level subspace of frame and sentence in the frame-sentence view, obtaining semantic association information in a local level subspace of region and phrase in the region-phrase view, processing data by a dual-branch neural network in the two views to obtain an isomorphic feature and embedding the same in a common space, and using a constraint condition to reserve an original semantic relationship of the data during training, and merging the two semantic association relationships using multi-view merging and sorting to obtain a more accurate semantic similarity between data.

The invention provides a river historic morphology digital recovery method. The method comprises the steps of on the basis of selecting a river section in which the development of an alluvial stream and terraces is complete, selecting a representative cross section of a river section which is planned to be recovered, conducting sediment cylindrical sample drilling, conducting layering according to sediment physical characteristics, recording three-dimensional space coordinates of each layer, then performing age determination on each settled layer, finally conducting line connecting on the three-dimensional space coordinates of the settled layers with an identical age in different sediment columns on the same cross section in general drawing software, wherein obtained cross section morphology is river historic morphology under the age, and conducting line connecting on the coordinates of all ages in sequence, that is, morphology recovery of the whole cross section in all history ages is completed, and the historic morphology recovery of the whole river section is completed after multiple cross sections are recovered. According to the river historic morphology digital recovery method, a geology age measuring technology and a river dynamics cross section molding principle are cross, and the method can be applied to most alluvial river historic morphology recovery, and has important practical value for study of a river landform evolutionary process.

The invention provides a punching device for an automotive aluminum plate. The punching device comprises an upper die assembly and a lower die assembly. The upper die assembly comprises a platy upper die holder, an upper clamping plate, a columnar male die, upper die limiting columns, guide sleeves and a constant-force edge pressing assembly. The upper die holder is arranged at the topmost end of the device and is horizontally arranged. The upper clamping plate is arranged on the lower surface of the upper die holder. One end of each columnar male die is fixedly arranged on the upper die holder, and the free end of each columnar male die faces downwards. One end of each upper die limiting column is fixedly arranged on the upper die holder, and the free end of each upper die limiting column faces downwards. One end of each guide sleeve is fixedly arranged on the upper die holder, and the free end of each guide sleeve faces downwards. The constant-force edge pressing assembly is arranged below the upper clamping plate. According to the forward punching device, the male dies are arranged on the upper portion, female dies are arranged on the lower portion, the design that constant-force edge pressing is achieved through two stages of springs, and the punching experiment can be conducted on a single-acting hydraulic machine.

Methods, systems, and apparatus, including computer program products, for generating aspects associated with entities. In some implementations, a method includes receiving data identifying an entity; generating a group of candidate aspects for the entity; modifying the group of candidate aspects to generate a group of modified candidate aspects comprising combining similar candidate aspects and grouping candidate aspects using one or more aspect classes each associated with one or more candidate aspects; ranking one or more modified candidate aspects in the group of modified candidate aspects based on a diversity score and a popularity score; and storing an association between one or more highest ranked modified candidate aspects and the entity. The aspects can be used to organize and present search results in response to queries for the entity.