33results about How to "Narrow selection" patented technology

The invention discloses a joint planning method for a wind power plant, a power transmission network and energy storage based on a chance-constrained IGDT, which comprises the steps of firstly acquiring wind power plant planning data, energy storage planning data, basic technical data of the system, system operation constraint data and system operation prediction data, and then constructing a joint planning model objective function of the building lower bound of the wind power plant, and building model decision-making constraints; then constructing a joint planning model objective function ofthe building upper bound of the wind power plant, and building model constraints; respectively solving the joint planning model objective functions of the building upper bound and lower bound of the wind power plant according to the a solving algorithm based on the Benders decomposition strategy, and acquiring the optimal planning solution for planning. Compared with a single-aspect planning method, the joint planning method provided by the invention has better economy and wind power utilization efficiency and can better meet various requirements of the system operation, thereby greatly improving the consumption level of wind power, and increasing the investment income of wind power.

The invention discloses a method for configuring multilevel transmitting power in the wireless sensor network. When a communication service is initially initiated by a sending node to a receiving node in the wireless sensor network, the theoretical communication distance between the two communication nodes is measured and calculated by the sending node. Theoretical transmitting power needed by the nodes is calculated, the stages of the transmitting power are initially selected, and each transmitting power stage is provided with a plurality of transmitting power values. The node no-load received signal strength instruction namely RSSI detection is sent out, and the needed transmitting power stages are dynamically adjusted. The minimum effective transmitting power value is determined from the selected transmitting power stages based on the exploratory transmitting power control method. The transmitting power values determined based on the power setting method are stored, and the transmitting power is set to initiate the communication service. The two nodes initiate the communication service again to directly acquire the stored transmitting power, and if the communication is failed, the stored transmitting power values are eliminated, and the method for configuring the multilevel transmitting power is launched again to set the transmitting power value suitable for a communication link.

Expression-based data may comprise data that is processed by a validation expression for example. After a validation expression is created it may then be performed with respect to one or more data values or data records. A validation expression returns a Boolean result that signifies a success or failure result. A validation expression can define complex intra-record tests and inter-record tests with unlimited complexity. In order to improve processing of validations, the system uses virtual data known as calculation fields. Calculation fields are stored in memory at runtime and not in a database thereby eliminating the necessity of selecting and updating records in the database. A dirty bit identifying fields and attributes that need to be calculated based on a dependent data may be used to defer calculation to a later time when the calculation field is displayed or a sort operation occurs for example.

The invention relates to an image stitching method. A traditional image stitching method is not good in effect. The image stitching method includes the steps: firstly, selecting a coarse registration area and carrying out pairwise weighted average on pixel values at the positions of overlapping coordinates of initial areas of two images, obtaining a reserved image, then, scanning an energy matrix of the reserved image line by line, obtaining a minimum energy line after calculation, obtaining a strip-shaped area by serving the minimum energy line to as a center to expand to two sides, respectively finding corresponding registration areas from the initial areas of the two images, carrying out image fusion on all the pixel values in the registration area of the two images to obtain a stitching area, and then finishing image stitching. According to the image stitching method, not only can an optimal matching seam be found rapidly, but also selection of an image fusion area can be reduced, and an optimized stitching image can be obtained.

A method and system of submitting healthcare claims for adjudication at the point of service is provided. The system provides methods and secure central storage for providers of healthcare services to maintain user created and maintained patient lists, provider location lists, and superbill forms for healthcare claims submission according to the user's unique and individual requirements. The system transmits completed healthcare claims while protecting patient privacy, and provides real-time adjudication of the claims, giving an almost instantaneous claim result in the form of a patient summary receipt back to the point of service at the healthcare provider's location. This is achieved through a real-time interface with the enterprise server claims adjudication engine. Customized lists and superbill forms as required by the individual user are also stored on the enterprise server.

The invention relates to application of a hemostasis material of sodium alga acid and sodium alga acid added calcium salt or zinc salt composition in wound surface hemostasis. The sodium alga acid composition comprises 50-100 parts by weight of sodium alga acid and 0.5-50 parts by weight of calcium salt. The invention also provides a hemostasis material prepared from the sodium alga acid composition and at least one pharmaceutically acceptable solvent, carrier and / or excipient. The sodium alga acid composition and the hemostasis material in the invention have the characteristics of rapid hemostasis, good biocompatibility, biodegradation absorbability, simpleness in treatment, no need of debridement, low cost and the like, and is suitable for the hemostasis in the wound surface, especially in war wound surface.

The invention relates to a selection method of a plug-in hybrid power system configuration, and in the selection method of the plug-in hybrid power system configuration, through screening based on ownresearch and development resources, a selection range of the plug-in hybrid power system configuration can be reduced effectively. By combining a global optimization control strategy based on dynamicplanning with component parameter optimization based on an orthogonal test design method, a nested loop formed by combination of the control strategy optimization and the component parameter optimization is built, and by taking a vehicle power performance design target, vehicle cabin inner space size and emission performance as constrain conditions and taking the lowest cost as a target, selecting the configuration with the lowest cost under a condition of united optimization of the control strategy and component parameters is realized, calculation load is low, and the method is simple and convenient to operate.

A method and system that uses interactive wine lists and consumer driven advertising to increase search engine rankings for restaurants and wines through social media websites. A user may automatically display an interactive wine list having a graphical interface or “skin” that is unique to a restaurant through a single mobile application by entering the restaurant information or by using geolocation to determine the restaurant at which the electronic device is located. A unique badge system promotes wines on the interactive wine list to increases wine sales from vendors. In addition, tracking allows all user actions and information entered into the interactive wine list to be used for marketing data and for bounce back marketing.

The invention discloses a beam scanning method and related equipment used for solving the problem that a lot of system overhead needs to be occupied in the existing process of performing traversal search on a potential transceiving beam combination and determining an optimal transceiving beam, so that the system efficiency is reduced and the adaptability to channel time-varying is reduced. The method comprises the following steps: determining at least one transmitting beam by a first communication node according to an optimal receiving beam group between a receiver of the first communication node and a transmitter of a second communication node; and transmitting signals to the second communication node by the first communication node orderly according to the determined at least one transmitting beam through the transmitter, until an optimal transmitting beam is determined.

The invention discloses an article recommendation method, device, equipment and system and a readable storage medium. The method comprises the following steps: constructing a user article associationsequence according to acquired article selection records of all users in a historical statistical time period; and according to all the user item association sequences, obtaining item association information for item recommendation.

The invention belongs to the technical field of label printing, and particularly relates to a printing method of a label printing system, and the label printing system. The invention aims at solving the problems that most of preparation work needs to be completed through manual operation during existing label printing, the printing accuracy of labels is difficult to guarantee, and the overall manufacturing efficiency is low. For the purpose, the printing method of the label printing system can directly correspond to specific product equipment through the input order number, all printable labels under the product equipment of the current batch are called, and therefore the label template of the label to be printed is automatically obtained and displayed for printing, manual operation stepscan be reduced, the error rate of template searching before label printing is reduced, the preparation time before label printing is shortened, the label printing efficiency is improved, and the labelprinting correctness degree can be guaranteed.

Storage section stores therein a plurality of tone data sets each representative of a tone waveform but also a plurality of character data sets in association with the tone data sets, each of the character data sets representing content of the tone waveform, represented by the corresponding tone data set, in character quanta. Display control section causes a display section to display an image with some of the stored tone data sets as selection candidates. Selection section is provided for a user to select at least one of the tone data sets displayed as the selection candidates. Identification section searches for and identifies a plurality of character data sets similar to the character data set corresponding to the user-selected tone data set. The display control section causes the display section to further display an image of a plurality of the tone data sets associated with the identified character data sets.

The invention discloses a system for predicting drug target affinity based on a graph convolutional neural network, and belongs to the technical field of drug relocation. The system comprises three channels which are used for respectively extracting a feature vector of two-dimensional representation of a drug, a feature vector of a context association relationship of a drug SMILES expression and a feature vector of a context association relationship of a protein sequence, then splicing the three feature vectors together, and inputting the spliced three feature vectors into a full-connection neural network, and obtaining a predicted value of the drug target affinity. The input of the model is the two-dimensional representation of the drug, the SMILES expression of the drug and the protein sequence, and finally obtaining the affinity prediction value of the drug and the target.

The invention provides a feature combination method and device, a medium and electronic equipment, and the method comprises the steps: taking a plurality of samples comprising a plurality of differentfeature domains as input of a neural network model, and obtaining an interpretation vector corresponding to each feature domain in the plurality of samples; marking the feature domain of which the interpretation vector meets a preset condition, the preset condition including that the absolute value of the interpretation vector is greater than a set threshold; sequentially selecting a preset number of combined feature domains as candidate combined feature domains according to the sequence of the marked frequencies of the feature domains from large to small; and selecting a target combined feature domain matched with the target model from the plurality of candidate combined feature domains. According to the method, by obtaining the interpretation vectors corresponding to the multiple different feature domains, the candidate combined feature domains having good influence on an output result of the neural network model are screened out, the selection range of the combined feature domainsis narrowed, the screening complexity of the combined feature domains is reduced, and the finally obtained combined feature domains have interpretability.

The invention relates to a solar spectrum absorption film layer design method. The method comprises the following steps: determining a dielectric function of a pre-selected material; compounding the dielectric functions of the materials with different proportions, calculating to obtain a dielectric function curve, and screening a composite material proportion meeting requirements; constructing a film layer structure model, and determining physical data of the film layer structure model; changing and optimizing a single physical variable, and selecting a structure model meeting requirements oran optimal structure model; and selecting, formulating and optimizing a film preparation process according to the screened composite material ratio and the optimal structure model. The preparation process of the non-magnetic high solar spectrum absorptivity film layer is designed and optimized, the selection range of part of parameters in the experiment process can be remarkably narrowed, human and material resource losses caused by wrong experiments are reduced, the optimal process is determined more rapidly and efficiently, and therefore the film layer development and production efficiency is improved.

The invention provides a method and a device for determining a link prediction algorithm type. The method for determining the link prediction algorithm type comprises the following steps: acquiring asampling network obtained by performing network sampling on an initial network; calculating a multivariate closure probability corresponding to a multivariate closure node structure composed of a plurality of nodes in the sampling network; calculating a structured heterogeneous index of the sampling network according to the multivariate closure probability; and determining a link prediction algorithm type corresponding to the structured heterogeneous index in a preset link prediction algorithm type set, and taking the link prediction algorithm type as a target link prediction algorithm type ofa link prediction algorithm adopted for link prediction of nodes in the initial network. According to the link prediction algorithm type determination method provided by the invention, the target link prediction algorithm type of the link prediction algorithm for performing link prediction on the nodes in the initial network is determined by calculating the structured heterogeneous index of the sampling network, so that the selection range of the link prediction algorithm is reduced, and the efficiency of selecting the link prediction algorithm is improved.

The invention discloses a stainless steel / glass / copper-clad composite wire and a preparation method thereof. The shape of a section of the composite wire can be a circle or a flat shape or a rectangle, the composite wire is made of stainless steel, glass and copper from inside to outside, and the outer-cladding layer, namely the copper, is prepared through chemical plating and electric plating methods. The preparation method of the composite wire comprises the process steps that (1) a stainless steel wire is subjected to deoiling and degreasing; (2) glass is prepared through a fusion pultrusion method to clad the stainless steel wire; (3) surface treatment is carried out on the glass-clad stainless steel wire; (4) the roughened glass-clad stainless steel wire is activated by hydrogen peroxide and a concentrated sulfuric acid solution; (5) chemical copper plating is carried out on the glass-clad stainless steel wire; and (6) the copper cladding layer is subjected to brushing electroplating.

The present application provides a feature combination method, device, medium, and electronic equipment, the method including: using multiple samples including multiple different feature domains as the input of the neural network model, and obtaining the corresponding explanation of each feature domain in the multiple samples Vector; mark the feature domains whose interpretation vectors meet the preset conditions, wherein the preset conditions include that the absolute value of the interpretation vector is greater than the set threshold; according to the order of the frequency of each feature domain being marked from more to less, sequentially select A preset number of combined feature domains are used as candidate combined feature domains; a target combined feature domain matching the target model is selected from multiple candidate combined feature domains. This application obtains the respective interpretation vectors corresponding to multiple different feature domains, thereby screening candidate combined feature domains that have a better impact on the output of the neural network model, narrowing the selection range of combined feature domains, and reducing the complexity of screening combined feature domains degree, and the resulting combined feature domain is interpretable.

The invention discloses an IEEE802.11AF (Institute of Electrical and Electronic Engineers 802.11AF) detection rate selection method. Three levels of rate table are used, wherein the matrix resource pool is formed by combining all physical rates specified by the IEEE 802.11 AF standard according to a certain mapping rule, and the matrix resource pool is a first-level rate table; a detection rate resource pool constructed by a dichotomy algorithm, a rate peripheral algorithm and a rate filtering mechanism is a second-stage rate table, and a rate resource pool to be detected selected from the second-stage rate table is a third-stage rate table finally used for detection; the method can avoid waste of channel bandwidthand performance fluctuation and reduction caused by improper detection rateselection, so as to shorten the period of dynamic rate selection, reduce the fluctuation of system throughput rate, and improve the data throughput of IEEE 802.11 AF wireless equipment in a wireless network environment.

The invention belongs to the technical field of steelmaking continuous casting, and discloses an inter-flow temperature difference prediction method and a structure optimization method of a multi-flow tundish. The prediction method comprises the following steps: designing a tundish experiment scheme; a water model with the similarity ratio of lambda is designed, and stagnation time and peak time are obtained; establishing a numerical simulation model, and obtaining an inter-flow temperature difference; performing polynomial fitting on the inter-flow temperature difference and the stagnation time to obtain a first fitting function; performing polynomial fitting on the inter-convection temperature difference and the peak time to obtain a second fitting function; performing mutual optimization verification on the first fitting function and the second fitting function to obtain a consistent inter-flow temperature difference through the first fitting function and the second fitting function; and calculating to obtain the inter-flow temperature difference of any tundish. According to the prediction method, temperature difference prediction is carried out no longer by means of a simulation calculation program, so that the prediction process is greatly simplified, and the prediction time is saved. The structure optimization method is carried out on the basis of the temperature difference prediction method, so that an optimal optimization scheme can be better obtained.

The invention discloses a method for configuring multilevel transmitting power in the wireless sensor network. When a communication service is initially initiated by a sending node to a receiving node in the wireless sensor network, the theoretical communication distance between the two communication nodes is measured and calculated by the sending node. Theoretical transmitting power needed by the nodes is calculated, the stages of the transmitting power are initially selected, and each transmitting power stage is provided with a plurality of transmitting power values. The node no-load received signal strength instruction namely RSSI detection is sent out, and the needed transmitting power stages are dynamically adjusted. The minimum effective transmitting power value is determined from the selected transmitting power stages based on the exploratory transmitting power control method. The transmitting power values determined based on the power setting method are stored, and the transmitting power is set to initiate the communication service. The two nodes initiate the communication service again to directly acquire the stored transmitting power, and if the communication is failed, the stored transmitting power values are eliminated, and the method for configuring the multilevel transmitting power is launched again to set the transmitting power value suitable for a communication link.

The invention discloses an IEEE802.11AF detection rate selection method. By using a three-level rate table, they are respectively: a matrix resource pool that combines all physical rates specified in the IEEE 802.11AF standard according to a certain mapping rule, that is, the first level The rate table and the reconnaissance rate resource pool constructed according to the binary algorithm, the rate peripheral algorithm and the rate filtering mechanism are the second-level rate table and the rate resource pool to be investigated selected from the second-level rate table is the third level that is finally used for reconnaissance The rate table can avoid the waste of channel bandwidth, the fluctuation and decrease of performance caused by improper detection rate selection, shorten the period of dynamic rate selection, reduce the fluctuation of system throughput rate, and improve the reliability of IEEE 802.11AF wireless devices in the wireless network environment. data throughput.

The invention relates to a solar spectrum absorption film layer design method. The method comprises the following steps: determining a dielectric function of a pre-selected material; compounding the dielectric functions of the materials with different proportions, calculating to obtain a dielectric function curve, and screening a composite material proportion meeting requirements; constructing a film layer structure model, and determining physical data of the film layer structure model; changing and optimizing a single physical variable, and selecting a structure model meeting requirements oran optimal structure model; and selecting, formulating and optimizing a film preparation process according to the screened composite material ratio and the optimal structure model. The preparation process of the non-magnetic high solar spectrum absorptivity film layer is designed and optimized, the selection range of part of parameters in the experiment process can be remarkably narrowed, human and material resource losses caused by wrong experiments are reduced, the optimal process is determined more rapidly and efficiently, and therefore the film layer development and production efficiency is improved.