58results about How to "Low data cost" patented technology

The invention relates to a method and a system for estimating population density in urban built-up areas coordinated by spatial big data. The method comprises the following steps: obtaining a buildingrange based on an object-oriented classification method by utilizing high-resolution optical remote sensing data; dividing urban blocks through a spatial topology algorithm by utilizing spatial big data of an urban fine road network, and dividing the urban blocks into residential areas and non-residential areas by combination with spatial big data of points of interest; obtaining building heightby utilizing remote sensing optical three-dimensional imaging data; constructing a population density estimation model by utilizing a multiple regression analysis method according to the building height and the building range and by combination with population statistical data; and inputting the building range and the building height as input variables into the population density estimation model,performing calculation to obtain population density, and then, assigning the population density to regular grid space corresponding to urban built-up areas by utilizing a spatial statistical analysismethod. The method and the system can precisely and accurately realize estimation of the population density in the built-up urban areas, are more suitable for requirements of urban planning, disasterprevention and reduction and business decision for fine population data, and are beneficial to further popularization and application.

The present invention proposes an evaluation method of solar energy utilization potential in urban high-density areas based on low-altitude photogrammetry, comprising the following steps: low-altitude data acquisition using drones, acquisition of three-dimensional point cloud data, screening of building subject points, selection of seed region, region growth and point cloud patch segmentation, three-dimensional reconstruction, building geometry model, solar radiation simulation and solar energy utilization potential assessment steps. The invention utilizes low-altitude photogrammetry to obtain point cloud data in a high-density area of the city, and performs semantic division and three-dimensional reconstruction on the point cloud data through a parameterization tool to obtain a singular geometric model. Therefore, the solar radiation and dynamic change obtained from the roof and facade of the building are simulated and analyzed in the same platform.

A liquid crystal display includes a plurality of pixels arranged in a matrix, a substrate, and a plurality of gate lines, data lines, thin film transistors, pixel electrodes, and storage electrode lines. The gate lines are formed on the substrate. The data lines run crosswise relative to the gate lines above or below the gate lines, and the thin film transistors are connected to the gate lines and the data lines. The pixel electrodes are connected to the thin film transistors, and have a first side formed in parallel with the gate lines and a second side shorter than the first side and adjacent to the first side. The storage electrode lines overlap with the pixel electrodes. Storage electrode signals applied to the storage electrode lines are periodic alternating signals.

The invention discloses a speech synthesis method. The method comprises the steps that the language type of statement text information to be synthesized is determined, wherein the language type comprises a first language type and a second language type; a first base model corresponding to the first language type and a second base model corresponding to the second language type are determined; a target tone is determined; according to the target tone, self-adaptive transforming is carried out on the first base model and the second base model; according to first and second base models after self-adaptive transforming, the statement text information to be synthesized is trained to generate corresponding spectrum parameters and fundamental frequency parameters; according to the target tone, the fundamental frequency parameters of the first language type and the second language type are adjusted; and according to the spectrum parameter of the first language type, the spectrum parameter of the second language type and the adjusted fundamental frequency parameters of the first language type and the second language type, target speech is synthesized.

On a semiconductor chip, ends of a plurality of resistive elements of a pull-up resistor unit disposed in parallel to each other are connected to a power source, other ends of the resistive elements are connected to a line connecting a signal input terminal and a receiving end device disposed on the semiconductor chip, and the line is connected to the ground through an external resistor disposed on the outside of the semiconductor chip. A current flows from the power source to the ground, and a node voltage depending on a resistance value of the external resistor and a composite resistance of the pull-up resistor unit is applied to a node between the line and the external resistor. The composite resistance of the pull-up resistor unit functioning as a termination resistor is corrected to an expected value according to the node voltage.

A data erasing device that erases data recorded on a magnetic disk, by a magnetic field generated in a horizontal direction by magnets, in order to prevent leakage of the data recorded on the magnetic disk of a magnetic disk device to be abandoned. The data erasing device includes a main body case having a path on which a tray is reciprocated, a demagnetizing circuit having plural permanent magnets adjacently disposed along the path in mutually adsorbing polarities, and a tray for accommodating the magnetic recording medium, and capable of reciprocating on the path. This tray includes a first accommodation groove and a second accommodation groove for accommodating the magnetic disk device. The first accommodation groove and the second accommodation groove cross each other to form an angle of 45 degrees or 90 degrees.

System and methods are provided for provisioning mobile data services in mobile network systems. By taking advantage of a bifurcated authentication process, the systems and methods described herein provide data services to mobile devices without requiring a secure element such as a SIM card. This allows travelers to benefit from local data networks and services without having to purchase an additional SIM and or change their mobile phone numbers. In addition, these systems and methods allow mobile data users to take advantage of lower local data rates and avoid high roaming costs. Furthermore, these systems and methods provide networks with efficient techniques for servicing visiting/roaming users directly with mobile data without the unnecessary overhead associated with data roaming.

The invention discloses a forest fire spreading data assimilation method and device based on an unmanned aerial vehicle video, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring meteorological data and basic geographic information data of a fire place and a live wire state analysis value at the moment K1; inputting the above informationinto a forest fire spreading model, and obtaining live wire prediction position information at the moment K; acquiring a fire scene area thermal imaging video shot based on the unmanned aerial vehicle, and acquiring live wire observation position information at the moment K; judging whether parameter adjustment needs to be carried out on the model or not according to the live wire prediction position and the observation position at the moment K; and if adjustment is needed, adjusting model parameters according to the live wire prediction position and the observation position at the K moment,and recalculating the live wire prediction position at the K moment to obtain a live wire state analysis value at the K moment. The method is low in cost, the forest fire spreading model can be dynamically iterated, the accurate live wire prediction position is obtained, and precious time is bought for forest fire rescue.

The invention discloses an information fast and accurate extraction method facing high-resolution images. The method includes: inputting and pre-processing a high-resolution remote sensing image; partitioning the image according to the image surface coverage distribution law; selecting different features to perform one-time feature extraction on different types of target surface features accordingto surface coverage forms of various types of surface features in the partitioned image, and obtaining a plurality of extraction results of various types of target surface features; performing sensitivity analysis on each extraction result, and obtaining sensitive feature groups of various types of target surface features; using the sensitive feature groups of the target surface features to determine the surface feature layering extraction order according to the layering strategy, and extracting the surface feature information in the partitioned image layer-by-layer according to the order from rough extraction to fine extraction. The significant effects are that: the cost of data is reduced, and the research and application of domestic image data is strengthened; the problem of difficultselection of surface features is solved; and the applicability and the automation level of feature extraction are improved.

The present invention generally relates to systems and methods for evaluating and/or predicting thermodynamic behavior within a particular area, and more specifically, to systems and methods which, at least in some embodiments, use computational fluid dynamics to compute and/or predict thermodynamic behavior of data centers and the like. Embodiments of the present invention include the ability to validate the calibration of computational models in order to improve output accuracy.

The invention discloses a music analysis data set construction method and a pitch and value extraction method based on the data set, and mainly solves the problems that in the prior art, the performance of a traditional method is good in the single tone recognition subdivision field, but the performance in the complex tone recognition field is relatively weak. The music analysis data set construction method and the pitch and value extraction method based on the data set comprise the following steps of selecting and registering digital music scores into a digital music score library; registering a music score played by a player into the digital music score library; carrying out matching on a class label sequence and the sound characteristics to form a sound characteristic-music element dataset construction method; and based on the data set, executing the pitch and value extraction method and system from musical sound and musical instruments. According to the scheme, the value information and the pitch information of the digital sound signal generated by the musical instruments are extracted by using a supervised machine learning model, the purpose of extracting music elements in the complex tone can be well extracted, and the method has very high practical value and popularization value.

The invention relates to a method for air control, an electronic device and a computer storage medium. In the process of calculating the user's wind control data, the method can call a rule engine many times in real time and combine the corresponding rules to determine whether the next step of the wind control data audit is needed or not, and the subsequent data calculation is stopped when the user's data hits any rejection condition in the rule set. By using the invention, the data cost can be saved, the effect of the wind control and the online examination and approval efficiency can be improved.

The invention puts forward a data center selection method for big data to migrate to cloud. The data center selection method comprises the following steps: firstly, considering a situation that factors including user preference and legal restriction cause that a DC (Data Center) is not available to carry out non-complete graph modeling; adopting a level activation way to describe the data generation of a user; defining four criterions including FDP (Fair Data Placement), PDP (Preference Data Placement), TCMDP (Transmission cost Minimum Data Placement) and CMDP (Cost Minimum Data Placement); and on the basis of the criterions, carrying out DC selection. The method which is put forward by the invention aims at requirements generated when BD (Big Data) moves to the cloud, researches a movement mechanism from an aspect of the user, and can shorten data access time delay and reduce data cost. The method can reflect the availability of the DC and the user preference. The method can utilize a network to automatically carry out low-cost and low-delay data migration, avoids a hardware way and is favorable for implementing automatic management.

The invention discloses a human travel selection information mining method based on travel data. The method mainly comprises the steps of proposing a universal traffic selection model considering individual utility optimization, and a parameter estimation and analysis method corresponding to the model. Based on a traffic selection model, easily obtained traffic travel data such as automobiles andthe like are utilized, a nonlinear fitting method is adopted, parameters are estimated, and the distribution situation of overall travel requirements of human beings and selection characteristics of vehicles such as walking vehicles, automobiles, airplanes and the like are disclosed. The analysis result can be used for comparison between cities and countries, and can also be used for planning urban and national traffic facilities. By adopting the information mining method, the problems of high cost and low credibility of large-scale investigation on crowds can be effectively avoided.

The invention discloses a commuting behavior identification method based on shared electric bicycle borrowing and returning point data. The commuting behavior identification method comprises the following steps: 1) preprocessing original data of a user order; 2) sorting'borrowing or returning time points' by the same vehicle number data, and matching travel data based on'vehicle use state '; 3) calculating the travel distance and time of the travel data matching result and cleaning; 4) clustering the longitude and latitude data of the vehicle borrowing and returning points in the peak hours of the workdays by using a DBSCAN algorithm, obtaining and calculating a hot spot area and a centroid coordinate thereof, and automatically generating a Thiessen polygon to define a new travel cell; 5) generating a travel OD matrix in combination with a matching result of the vehicle borrowing and returning points and the travel cells; 6) calculating a travel OD matrix traffic flow coefficient of each workday, and identifying an outgoing behavior commuting travel of which the travel OD matrix traffic flow coefficient is smaller than an agreed threshold; and 7) identifying the occupational and residential places. According to the invention, the commuting behavior of the shared electric bicycle is effectively identified from the user order data, and the occupational and residential place distribution is analyzed to improve the commuting use; a theoretical basis is provided for rate and scheduling.

The invention relates to the technical field of financial risk control, in particular to a comprehensive decision platform based on a decision engine and a data source scheduling method thereof. The comprehensive decision platform based on a decision engine comprises a comprehensive decision platform which is responsible for receiving a decision request transmitted from an external network loan approval system and returning a decision result and other decision output variables to the network loan approval system after a series of processing in the system, and a decision engine which is responsible for risk control strategy packets required by risk control services including an admission strategy, a scoring strategy, a People's Bank of China credit investigation strategy, a three-party datasource strategy, a quota pricing strategy and the like. By adopting the related system and the design method provided by the invention, the data cost can be reduced by at least more than 50% comparedwith the traditional mode of completely calling a plurality of data source interfaces at one time. Meanwhile, the calling sequence and rounds of multiple data sources can be flexibly adjusted, so that the timeliness of online deployment of the system is greatly improved, and the service production efficiency is greatly improved.

Systems and methods for adaptive recursive descent data redundancy are described herein. In one embodiment, a method can include identifying the data object or file for Quantum Fragmentation, determining, via a first portion of a Quantum Fragmentation instance, a factor of fragmentation for the data object or file, transforming the data object or file into a plurality of first data fragments according to the factor of fragmentation by applying one or more cryptographic processing, integrity checking, and resilient fragmentation schemes, via the first portion of the Quantum Fragmentation instance, and persisting, via the first portion of the Quantum Fragmentation instance, each of the plurality of first data fragments to a data store of a plurality of available Cloud or other data stores or to a subsequent portion of the Quantum Fragmentation instance, wherein the persistence for each of the first data fragment occurs independently from the other first data fragments.

The invention discloses a shared umbrella based on an urban bus station platform and a using method of the shared umbrella, and belongs to the technical field of shared umbrellas. According to the shared umbrella based on the urban bus station platform, the cross-border cooperation between the shared umbrella and an urban bus can be realized, on the one hand, the urban bus provides a large numberof users for the shared umbrella, the users can conveniently complete umbrella borrowing operation by a portable bus card, and a real name registration system and a fee deduction system of the urban bus are used as invisible supervision, cooperating with a public credit system is carried out to link the borrowing and returning of the shared umbrella with a personal credit system, so that the current social phenomenon that the shared umbrella is only borrowed and not returned is avoided; and on the other hand, the shared umbrella brings secondary income other than transportation to urban bus, while win-win cooperation is realized, the national green environmental protection policy of advocating low-carbon travel is responded, meanwhile the shared umbrella provides humanized functions such as voice navigation for users, the progress of social public services is reflected, and thick urban warmth is released.

The invention discloses a target domain detection network training method and device, equipment and a storage medium. The method comprises the following steps: constructing an encoding network, a source domain detection network and a target domain detection network based on source domain data and target domain data; updating the coding network, the source domain detection network and the target domain detection network according to the target function until the value of the target function meets a set condition, and in the updating process, enabling the source domain detection network and thetarget domain detection network to meet a maximum mean value difference constraint relationship; and taking the target domain detection network under the condition that the value of the target function meets a set condition as a trained target domain detection network. According to the technical scheme, the detection network used for identifying the target domain data is obtained through trainingaccording to the source domain data, the accuracy of identifying the target domain data is improved, and the data cost of the target domain detection network is reduced.

The invention belongs to the technical field of anti-counterfeiting materials and particularly relates to an anti-counterfeiting thermoprinting foil and a preparation method thereof. The anti-counterfeiting thermoprinting foil is composed of a PET layer, a release layer, a holographic layer, a first digital layer, an aluminizing layer, a color printing layer, a second digital layer and a cured adhesive which are connected in sequence from top to bottom. The technical problem of mutual interference of forward and reverse digits is solved; the anti-counterfeiting exclusivity of products is enhanced and the anti-counterfeiting capability of the products is improved.