66 results about "Regional differences" patented technology

The invention relates to a transportation management method based on the joint collaboration of a logistics company, a shipper and a carrier. The transportation management method comprises the following steps: the logistics company creates a transportation management system network platform; the shipper and the carrier visit the system network platform through the network protocol, and the logistics company signs a contract with the shipper and the carrier and delivers order information with forwarding order number according to the contract to the carrier and the shipper; the carrier adjusts according to the vehicle scheduling plan and single vote information and feedbacks the information to the system network platform; the logistics company performs expense settlement based on the information, accepts complaints and settles claims; and the network platform provides a real-time query system, so that the relevant information of accepted goods and the account statement can be checked in real time. The invention has the advantages that the shipper, the logistics company and the carrier share the total process of forwarding transportation, so that the competitiveness of a supply chain is increased; the information asymmetry caused by regional difference is solved, a supply of goods can be organized at different places, so that return vehicles of the carrier can be avoided from being empty, and benefits are brought for three parties of supplier, customer and service provider.

The invention discloses a terminal system for synchronous teaching or conferences. The system is characterized by also comprising a network synchronous communication module, wherein the network synchronous communication module is used for processing, playing and displaying session contents such as collected audio data, video data and handwriting data as well as documents opened by users, sending the processed session contents to a remote terminal through the Internet, and processing, playing and displaying the session content data received from the remote terminal. According to the invention, a traditional teaching method and an online teaching method are combined organically, therefore, the problems of teaching resource shortage and uneven prominent teacher resource distribution caused by geographical position, regional difference between the rich and the poor and other factors can be solved, severe occupational diseases caused by the traditional teaching method can be relieved, the defects of current long-distance teaching system and equipment can be overcome, and meanwhile, the teaching interaction can be improved and the study enthusiasm of students can be enhanced. The terminal system is also applicable to web conferences and local conferences.

The invention discloses a spatial visualization system of statistical population information and a method thereof. The spatial visualization system comprises: a database which is used for storing population attribute data and basic spatial population data for various functional modules to obtain the required population attribute data and basic spatial population data; a statistical population datamanagement module which is used for obtaining basic conditions of the population attribute data and managing the population attribute data; a spatial population data management module which is used for obtaining the basic spatial population data and providing an electronic map data platform based on the basic spatial population data so as to manage the basic spatial population data; and a statistical population and spatial data combination module which is used for correlating the population attribute data with the spatial population data, and converting the statistical population data into avisualized map image based on preset thematic symbols. The system and the method have the advantages of spatialization statistics and expression of population information, thus vividly expressing regional difference and distribution characteristics of population.

The invention discloses a forest fire fire point detection method based on an MODIS. Firstly, time sequence data is established for multiple days of MOD02 and MOD03 data from the MODIS, time sequence daily value data of multiple days of NDVI and brightness temperature is obtained, break points in the time sequence daily value data of the NDVI and brightness temperature are recognized through a time sequence break point recognition algorithm, and the recognized break points serve as potential fire points; relative fire points are distinguished from the potential fire points through a space context analysis method; real fire points are extracted from autonomous modular sensor data, the relative fire points are compared with the real fire points, and the correctness and leakage rate of the relative fire points are verified. The potential fire points are distinguished through the method that the time sequence data break points are detected through the BFAST algorithm without determining the potential fire points through fixed threshold values, therefore the algorithm has higher adaptability and flexibility for fire point distinguishing, the defects that the regional difference cannot be met by distinguishing the potential fire points through the fixed threshold values is overcome, and the fire point correctly discriminating rate is increased.

The invention provides a method for remote sensing and estimating woodland soil organic carbon. As image elements of a remote sensing image of a woodland vegetation-covered area are manifested to be the spectral signature of vegetation, and a remote sensing image vegetation index NDVI is the vegetation index which is applied most widely at present, is most applicable, and can be widely applied to the estimation study of the primary productivity of the vegetation. For this, according to the method, by means of a CASA ecological process model, when the NDVI remote sensing data utilizing the high-resolution remote sensing image for reflecting regional difference are applied to a traditional soil organic carbon estimating model, model parameters with the spatial heterogeneity are simplified into constants, the defect of lowering the estimation precision is overcome, a relation model of the soil organic carbon storage amount and soil foundation breathing is set up according to the soil foundation breathing coefficient having the close relation with the soil organic carbon storage amount, and the remote sensing and estimating study of the woodland soil organic carbon can be achieved.

The invention provides a novel anti-counterfeit mark. The novel anti-counterfeit mark comprises an anti-counterfeit mark base and an invisible anti-counterfeit pattern, wherein the regional difference is formed through micro-nano materials and the anti-counterfeit mark base, so that the invisible anti-counterfeit pattern is formed, the surface of the anti-counterfeit mark base comprises an invisible anti-counterfeit pattern area and a non-pattern area, the invisible anti-counterfeit pattern area or the non-pattern area is composed of a film layer formed on the surface of the anti-counterfeit mark base through micro-nano materials, and the micro-nano materials include organic particles, inorganic particles, photoresist, photosensitive resin, metal, alloy, ceramic, polymer, active micromolecules, an oxide, a sulfide, a nitride and a carbide or a binary compound or polycompound composed of III-V or II-IV or IV-VI elements. According to the novel anti-counterfeit mark, the invisible anti-counterfeit pattern can appear when the anti-counterfeit mark is located at the position of an air blowing opening or encounters with water or steam, the invisible anti-counterfeit pattern can become invisible after water is volatilized, and the anti-counterfeit mark can be used for counterfeit prevention in the fields such as the medicine field, the food safety field and the financial field. The invention further provides a manufacturing method of the novel anti-counterfeit mark.

The invention relates to the field of satellite navigation, and discloses a broadcast type VRS positioning method and system. Correction number interpolation is performed on the handbook end of a user so that the computing burden of a server can be greatly reduced and the problem that the concurrent user volume is limited by the computing burden can be solved; the user end and a computing center adopt a one-way communication mechanism so that the position security of the user end can be enhanced; the whole CORS is subdivided through the mode of grid division, and the correction number interpolation coefficient of each sub-grid is generated according to a grid solving unit so that the regional difference of the atmospheric condition of wide range of the CORS grid can be reflected, the accuracy and the reliability can be guaranteed and the broadcast volume of the data can also be reduced; and use of high dynamic users is supported.

A method for evaluating the benefit of source-load complementation across time and space in consideration of the randomness of both sides of a system is characterized by comprising the following steps: constructing a typical power output feature database of different clean power sources across time and space; building a load prediction model based on a data mining technology, and predicting the load characteristics of different regions in the future by considering multiple influence factors; and building a cross-regional source-load time-space complementation characteristic evaluation system based on the statistical characteristics of big power data by considering the natural conditions of different regions, the regional differences and the external influence factors of energy structure differences. By taking into full consideration the complementation optimization configuration of renewable energy and loads in a wide area and across time and space in the global scope, the benefit of cross-national, cross-regional or cross-continental source-load time-space complementation can be evaluated from three dimensions (source-source complementation, load-load complementation and source-load complementation) based on the broad, multi-source, polymorphic and heterogeneous data differences and the statistical characteristics of big power data. The method can be widely applied to the reasonable evaluation of the benefit of source-load complementation across time and space.

The invention belongs to the field of agricultural resources and environment, in particular to a dynamic evaluation and warning system for regional ecological environment. Through the dynamic monitoring and evaluation on the regional land degradation and the design of division warning system, the dynamic evaluation and warning system can scientifically, completely and dynamically describe the space-time evolution of regional agricultural resources and environment, which comprises the establishment of an index system, the determination of indexes ordering, the calculation of index weight and the development of effect testing software; dynamic and quantitative simulation to land degradation is carried out according to time sequence, while the division warning to regional land degradation is carried out according to geographical space. The invention can not only trace the evolution path of resources and environment, but also reveal the future evolution trend of regional land degradation in every period and every region to find out regional difference and limiting factor of land degradation and put forward resources optimal allocation model of sustainable development and countermeasure of sustainable development on regional agriculture.

The invention relates to a power distribution network space load prediction method taking region and load property dual differences into consideration. A conventional space load prediction method does not take influences exerted by regional differences, sample types and quality on load density into consideration, and the applicability is not sufficient. First of all, a full-sample space taking the regional differences into consideration is established, and then, a typical sample is screened by verifying and carefully choosing a load through a typical daily load curve. A region where the load is disposed is clustered through weighted Euclidean distance tolerance, afterwards, a subsample space matching is carried out, a type which the sample belongs to is determined, load density of a plot to be measured is predicted by use of an SVM algorithm, and a total future load amount of the plot is calculated through the load density. The load prediction precision is quite high, and the application is facilitated.

The invention discloses a construction land bearing efficiency measuring method based on data mining. The construction land bearing efficiency measuring method includes steps of S1, mining data to use network open data as main data source and conventional data like demographic census data as complementary, and searching spatial characteristics of construction land bearing efficiency; S2, analyzing data, to be specifically, analyzing addresses in online shopping data and enterprise data; S3, matching data space, subjecting the address analysis data to coordinate conversion after data is collected into position data available for a GIS (geographic information system) platform and correlating the position data with the construction land; S4, realizing regional difference measurement of the construction land bearing efficiency by comprehensive measurement according to multi-element characteristics of the data. By the data mining, the relevant network open data is acquired; by space address matching, social activities of enterprises or microcosmic individual residents are reflected and the problem about measurement of the construction land bearing efficiency is solved.

The invention discloses a general monoclonal antibody for African swine fever virus strains as well as a preparation method and application thereof. The preparation method of the general monoclonal antibody for the African swine fever virus strains comprises the following steps: immunizing a mouse by adopting a purified p54 immune protein, fusing spleen cells of the immunized mouse with myeloma cells to prepare hybridoma cells, screening with three screening antigens so as to obtain the hybridoma cells which can stably secrete a monoclonal antibody, and then preparing the monoclonal antibody by adopting an in vivo or in vitro method, wherein the three screening antigens comprise a prokaryotically expressed p54 recombinant protein, an eukaryotically expressed p54 recombinant protein and an artificially synthesized polypeptide shown in Seq ID No.1. The preparation method of the general monoclonal antibody for the African swine fever virus strains has the advantages that the three screening antigens are adopted for screening the hybridoma cells, and especially an artificially synthesized common polypeptide of all the African swine fever virus strains is taken as the screening antigen, so that the prepared general monoclonal antibody can be used for detecting strains in different geographic regions, the misdetection rate caused by regional difference among the strains is reduced, and the quarantine working quality and efficiency are improved.

A device for sensing, locating, and characterizing a radiation emitting source, including: a detection crystal having dimensions great enough such that regional differences in radiation response are generated in the detection crystal by radiation impinging on one or more surfaces of the detection crystal; and a plurality of detectors one or more of coupled to and disposed on a plurality of surfaces of the detection crystal operable for detecting the regional differences in radiation response generated in the detection crystal by the radiation impinging on the one or more surfaces of the detection crystal.

The invention discloses a multi-feature fusion face image illumination recognition method, which comprises the steps of extracting a covariance matrix of an image for each face image under different illumination conditions, calculating regional difference features of the image, and fusing the covariance matrix and the regional difference features as statistical features of the image; Extracting depth features of the face image based on a neural network method; Fusing the statistical features and the depth features to obtain fused features; And classifying the fused features to realize illumination recognition of the face image. The invention further discloses a face image illumination recognition system based on multi-feature fusion. According to the method, the face images under differentillumination conditions can be distinguished, the accuracy is high, the recognition speed is high, and the future technology is easy to update.

The embodiment of the invention discloses a television channel searching method, which comprises the following steps of: searching a channel program; identifying the color system and the sound system of the channel program; and storing the program information of the channel program, wherein the program information comprises frequency information, the color system and the sound system of the channel program. The embodiment of the invention also discloses a television. The channel program is stored according to the actual searched television system, so that regional difference of the television pattern is avoided, and the channel program can be normally watched under any condition by a user.

The invention relates to a power distribution network health degree self-diagnosis method with consideration of regional difference. Objects influencing the operation state of a power distribution network are obtained to serve as first-grade objects, second-grade objects and third-grade indicators are obtained, and a tree-shaped power distribution network operation state system is established. Weighted values of the objects and indicators in different grades are determined according to the analytic hierarchy process. Scoring function types of the three-grade indicators are determined, and scoring formulas of the three-grade indicators are given according to an evaluation reference value and a largest value or a smallest value. A comprehensive score of the power distribution network is solved according to the scoring formulas of the indicators, namely the weighted values of the objects of indicators in various grades. A weak link in the power distribution network is searched for according to the comprehensive score of the power distribution network, and corresponding improvement measures are carried out. By means of the power distribution network health degree self-diagnosis method with consideration of regional difference, regional difference is fully considered in the process of search for the weak link, the real weak link in the power distribution network is found with the combination of regional characteristics, and technical support is provided for safe operation of the power distribution network.

The invention discloses an air conditioner reliability influence factor-based regional clustering method. The method includes the following steps that: a system analyzes the regional differences of working environment factors and user use habit factors that influence the reliability of air conditioners and extracts working environment reliability key influence factors and user use habit reliability key influence factors; an air conditioner reliability influence factor-based regional clustering analysis comprehensive evaluation model is constructed; judgment criterion of air conditioner startup refrigeration and heating are formulated, the average consumption tendency indexes of the air conditioners are accurately quantified; and a weighted Ward clustering algorithm is adopted to carry out clustering analysis in the aspects of the working environment influence factors and the user use habit factor influence factors, so that an working environment influence factor clustering analysis result and a user use habit factor influence factor clustering analysis result are obtained, a secondary clustering method is adopted to integrate the working environment influence factor clustering analysis result and the user use habit factor influence factor clustering analysis result, so that final regional distribution can be obtained. With the air conditioner reliability influence factor-based regional clustering method of the invention adopted, the use reliability difference of air conditioners distributed in different areas can be minimum, and more scientific and more precise regional classification results can be obtained.

The invention belongs to the agricultural production technical field, relating to a dynamic evaluating system for sustainable development ability of regional agriculture, able to scientifically and completely and dynamically describe a measurement method and system for time-space evolution of regional agriculture, comprising: index system setup, index sequence determination, index weight calculation and effect check software development. And it makes dynamic and quantitative evaluation on the sustainable development ability of agriculture in time sequence and makes dynamic and quantitative evaluation on that of regional agriculture in geographical space. And tracking ecological environment evolution track can reveal stability, permanence and human-land relation harmony each period of time and each region, and find regional difference and main restriction factors of agricultural sustainable development. And it proposes resources optimized configuration mode of sustainable and coordinative development and countermeasures to sustainable development of regional agriculture.

Disclosed are systems and methods for simulating a flight path of an aerial vehicle. An exemplary method includes receiving a starting point, receiving prevailing wind patterns, generating a smooth model of wind vectors based on the prevailing wind patterns, generating a noise model including one or more submodels simulating regional differences in prevailing wind patterns, determining a wind vector at the starting point, determining a noise value at the starting point, applying the noise value to the wind vector at the starting point to generate a noise added wind vector, determining displacement based on the noise added wind vector over a time step, and determining a waypoint based on the displacement, wherein determining a noise value at the starting point includes determining a portion of the noise value contributed by each submodel, and determining the noise value by calculating a weighted mean of noise values contributed by each submodel.

The invention relates to a multi-service isolation method for a power wireless private network system. The method comprises the following steps: scanning frequency resources and counting interferences, configuring control and data channel resource pools, broadcasting the service list and channel resources, knowing randomly accessed resource pools, establishing a connection and reporting the service ID, and configuring base station control and data channel resources. The method adopts the spectrum sensing technology to obtain the frequency use and interference situation in the spectrum range of230 MHz to effectively evaluate interference levels of each frequency sub-band, requires timely avoiding when the frequency point is used and the interference is large, dynamically selects non-interference or less-interference sub-bands. updates the allocatable frequency resources, allocates dedicated resources for high-priority services, configures multiple transmission resource pools that are physically isolated from each other for use of different types of services, and supports flexible configuration of multiple transmission resource pools to adapt to regional differences in spectrum resources and terminal distribution differences to improve resource utilization efficiency.

The invention discloses a heuristic request scheduling method oriented on delay-sensitive applications in multiple cloud data centres. Influence of a series of factors, such as difference of cloud data centres at different geographical positions and regional difference of the unit bandwidth unit and the unit energy loss cost, on profits of cloud data centre providers is comprehensively consideredin the method. According to the method disclosed by the invention, each application in each cloud data centre is modelled as an M / M / m steady-state queuing system; on this basis, an effect function forconverting the actual response time of an application request into the corresponding revenue is designed; then, on this basis, a mixed integer nonlinear programming model for maximizing the profits of the cloud data centre providers in the multiple cloud data centres is established; and finally, the model is solved by adoption of a bat algorithm based on swarm intelligence. By means of the methoddisclosed by the invention, requests of the multiple delay-sensitive applications can be scheduled in the multiple available cloud data centres; and thus, the profits of the cloud data centre providers are maximized.

The invention discloses a segmentation method for SAR (Synthetic Aperture Radar) sea ice images. The segmentation method is mainly used for solving the problem that segmentation results cannot actually reflect the distribution condition of earth surface sea ice due to the fact that the SAR sea ice images are severely affected by coherent speckle noises. The segmentation method comprises the implementation procedures: (1) filtering the SAR sea ice images by adopting a two-sided filter; (2) carrying out initialized segmentation by adopting improved edge weight computation model and intra-regional differences; (3) constructing a regional MRF model based on an initialized segmentation structural element region adjacency graph; (4) integrating an inter-regional intensity difference penalty function into MRF; (5) erasing edge pixels, thereby obtaining a final segmentation result. According to the segmentation method, the performance of segmentation of the SAR sea ice images is remarkably improved.

The invention relates to a method for evaluating the coordinated development of a power grid in a power system. Firstly, on the basis of constructing a comprehensive evaluation index system of a two-level intelligent power grid, the initial weight of the index system is obtained through the analytic hierarchy process. Then, by analyzing the development differences of each secondary indicator, the coordinated development coefficient of the indicators is calculated, and the evaluation value of the secondary indicator is revised; and the weight of the primary indicator is revised by analyzing the regional differences; finally, according to the revised indicator evaluation value and weights to evaluate the coordinated development of the power grid. The invention solves the problem that the weight is difficult to set under the uneven development of regions, can propose more scientific policy suggestions for the relevant regions, rationally develop the smart grid on the basis, and ensure the healthy and coordinated development of the smart grid.

The invention discloses a ghost community identification and housing vacancy rate estimation method based on multi-source remote sensing data. According to the method, large-scale multi-source remotesensing data products with spatial resolution advantages are comprehensively applied, ghost city phenomenon evaluation indexes suitable for block scales are constructed, a threshold setting method with regional difference adaptability is sought, and block scale ghost city identification in the whole country is realized; on the basis, a housing vacancy rate estimation model suitable for the block scale is constructed in combination with network streetscape real-time videos and field survey data, and the nationwide housing vacancy rate is estimated.

The invention discloses a method for comparative analysis of regional differences in the development level of educational informatization, specifically: setting evaluation indicators and scoring values ​​for the objects to be evaluated; evaluating the development level of educational informatization in each region; quantitatively studying the development of regional educational informatization The differences in regional development are compared and analyzed from the two aspects of development level and degree of difference. The present invention also provides a system for realizing the above method. The invention fully and systematically considers subjective factors and objective factors, makes the evaluation results more accurate, and realizes effective evaluation of regional differences in the development level of educational informatization.

The coronary atherosclerotic heart disease is a heart disease of myocardial ischemia, anoxia or necrosis caused by vessel lomen stenosis or blocking resulted from atherosclerosis lesions of coronary artery blood vessels, and is often called as 'coronary disease'. The coronary disease further includes embolism stenosis or blocking caused by inflammation and embolism. The disease has remarkable regional difference, that is, the disease rates of northern provinces and cities are generally higher than those of southern provinces and cities. The medicine is prepared from medicines including lotus seeds, semen litchi, glutinous rice, allium macrostemon, lily, sandalwood, radix ophiopogonis, ligusticum wallichii, corydalis tuber, sargent gloryvine, radix paeoniae alba, tea tree roots, dates, puffball, American ginseng, aquilaria sinensis, lucid ganoderma, caragana sinica roots, dragon bone, patrinia scabiosaefolia, amber, radix angelicae pubescentis, platycladi seeds, harlequin glorybower leaves, spina date seeds, asarum, pseudo-ginseng, myrrh, trogopterus dung, carthamus tinctorius, fructus evodiae, polygonum cuspidatum, arillus longan, radix curcumae and aconitum carmichaeli. Due to the effects of the combined medicines, a synergistic effect can be achieved, and thus the coronary heart disease can be effectively treated.

The invention discloses a tax declaration client system and a tax declaration method thereof. Client software is installed on a computer of a taxpayer to integrate different online declaration modes of each place into a unified universal online declaration mode, and the training time of tax declaration financial personnel is reduced. According to the technical scheme, tax declaration client software is installed on a computer, a taxpayer identification number is registered and logged in on a tax declaration client system, initial setting is perfected, tax declaration can be completed on a client, and a report does not need to be logged in and filled in on a webpage. The national tax declaration and the local tax declaration are integrated together, declaration is carried out in the same client software, data can be imported from the corresponding account number by utilizing an interface provided by the tax declaration client software and provided by other financial software when a report is filled in, the working convenience of financial personnel is improved, and the influence of regional difference of a declaration mode on the applicability of the declaration software is eliminated.

The invention relates to the technical field of broadcast communication, in particular to an intelligent emergency broadcast system. The intelligent emergency broadcast system comprises a broadcast controller, transmission equipment and intelligent receiving terminals. The broadcast controller comprises emergency broadcast sound sources, normal broadcast sound sources, a sound source selector, a control management platform, a broadcast frequency modulation modulator and an encoder. Under an emergency situation, the broadcast controller controls the sound source selector to select the emergency sound sources through the control management platform according to the region division condition and according to the broadcast commands of the broadcast frequency modulation modulator and the encoder corresponding to emergency broadcasts. The selected emergency broadcast sound sources are transmitted to the corresponding intelligent receiving terminals through the transmission equipment to be broadcasted. By means of the intelligent emergency broadcast system, the technical problem that in the prior art, for regional difference, the emergency broadcast information cannot be popularized is solved, and the technical effect that the emergency broadcast information can be received through various receiving terminals in all regions is achieved.

The invention relates to an intelligent primary code stream and secondary code stream switching method and system based on a TD-LTE network. The method comprises the steps that a TD-LTE video communication controller receives video data collected by a front-end camera; the TD-LTE video communication controller transmits secondary code stream video data to a video monitoring end; the TD-LTE video communication controller obtains a regional difference coefficient by calculation according to the video data and judges whether the regional difference coefficient is greater than or equal to a threshold or not, and if the regional difference coefficient is greater than or equal to the threshold, alarming is triggered and an alarming signal is transmitted to the video monitoring end; the TD-LTE video communication controller receives a main code stream video data request sent by the video monitoring end; the TD-LTE video communication controller sends main code stream video data to the video monitoring end according to the main code stream video data request. The bandwidth resources and storage space can be effectively saved while the security and protection requirement of high-definition video monitoring is met, and operating cost of video monitoring is lowered greatly.