19results about How to "Effective resources" patented technology

The invention provides a multi-platform internet marketing activity effect evaluation and prediction model construction method, and relates to the technical field of data analysis. The method comprises the following steps: collecting marketing activity data from a plurality of internet platforms; performing cleaning, normalization and feature engineering processing on the data; constructing a multi-level evaluation and prediction model based on a machine learning algorithm, wherein the multi-level evaluation and prediction model comprises a data fusion model, an effect evaluation model and an effect prediction model; calculating a click rate, a conversion rate, a user retention rate and a user life cycle value by using an effect evaluation model so as to comprehensively evaluate a marketing activity effect; and performing effect prediction by using the effect prediction model, and evaluating the model through a root-mean-square error, a mean absolute error and a mean absolute percentage error. According to the invention, the accuracy and comprehensiveness of marketing activity effect evaluation and prediction can be improved, and an important basis is provided for optimizing a marketing strategy.

The invention discloses an ecological environment protection system for sorting management of historical remaining solid wastes, and relates to the technical field of environment protection, and the ecological environment protection system comprises a solid waste collection module, an intelligent sorting module, a treatment and disposal module, an environment monitoring module and a central control module; the solid waste collecting module is used for collecting solid waste which is left in history and comprises different types of garbage storage containers, sealing and transporting the solid waste, and transporting the collected solid waste to a sorting treatment area. According to the ecological environment protection system, a plurality of modules are integrated, an efficient and scientific historical remaining solid waste sorting management system is constructed, the system can accurately predict the waste output, the design of a waste storage container is optimized, effective collection and sealed transportation of waste are ensured, and the system is suitable for large-scale popularization and application. And the intelligent sorting module is combined with an image recognition technology and a sensor technology, so that the sorting accuracy is improved, and resource utilization of wastes is facilitated.

The invention relates to a series of GDP-fucose synthase polypeptides which can be applied to synthesis of GDP-fucose which is a precursor of human milk oligosaccharides (HMOs), and belongs to the technical field of enzyme engineering. In certain embodiments, the polypeptide capable of catalyzing the conversion of GDP-4-keto-6-deoxymannose into GDP-fucose comprises a polypeptide of which the amino acid sequence is at least 65%, 70%, 75%, 80%, 85%, 90%, 95%, 99% and 100% identical to the amino acid sequence of SEQ ID NO: 1 and / or the amino acid sequence of the polypeptide M1-14. The invention provides a series of polypeptides for synthesizing GDP-fucose.

The invention relates to the technical field of prospecting, in particular to an intelligent prospecting method based on multi-source information fusion and physical-data dual-drive, and the method comprises the steps: obtaining a target multi-source information database based on the granularity and reliability of multi-source information data in the target multi-source information database; performing complementary fusion on the multi-source information data according to the matched fusion level to obtain a multi-source information complementary fusion result; extracting mineral resource distribution information of the target area according to a multi-source information complementary fusion result, and generating an earth crust mineral resource refined distribution diagram of the target area by using the mineral resource distribution information; and based on the target multi-source information database and the earth crust mineral resource refined distribution map, generating a mineral resource information inference result of the target area by using a target identification system. According to the method, the target identification system can be utilized to perform deep mining on the earth crust mineral resource refined distribution map drawn based on the multi-source information, the mineral resource information inference result is obtained, the earth crust mineral resource exploration efficiency can be effectively improved, the resource exploration cost can be reduced, and strategic mineral resources can be accurately locked.

The invention discloses a preparation method of high-toughness dust-free paper, and relates to the technical field of dust-free paper preparation, the high-toughness dust-free paper comprises 10-60 parts of a first layer, 10-30 parts of a second layer and 10-20 parts of a third layer, the first layer comprises wood pulp fiber, the second layer comprises polypropylene fiber, the third layer comprises high-molecular water-absorbent resin and aramid fiber, and the third layer comprises water-absorbent resin and aramid fiber. The wood pulp fibers have the characteristic of soft texture, so that the dust-free paper does not scratch or damage the surface of an object in the wiping process, and the polypropylene fibers and the aramid fibers are added, so that the strength and the toughness of the dust-free paper are further enhanced, the dust-free paper is more durable, the dust-free paper can be kept stable in a severe working environment, and the service life of the dust-free paper is prolonged. The dust-free paper is not easy to age or deform, and the molecular structure of the aramid fibers can keep stable under high-temperature and high-pressure occasions, so that static electricity generated in the use process of the dust-free paper can be effectively reduced, and sensitive equipment and components are protected from being damaged by the static electricity.

The invention provides a method for promoting leaching of ionic rare earth ore, and relates to the technical field of ore dressing. The method comprises the following steps: firstly, uniformly filling the ionic rare earth ore into a column leaching device, and then compounding, dissolving, stirring and mixing a leaching agent and a leaching aid; and finally, leaching the ionic rare earth ore in the column leaching device by using the prepared leaching agent solution through a peristaltic pump in a speed control manner, and collecting the leachate. The leaching agent is at least one of ammonium sulfate, magnesium sulfate and sodium sulfate, and the auxiliary leaching agent is prepared from cocamidopropyl betaine and sodium fatty alcohol-polyoxyethylene ether carboxylate as raw materials. According to the leaching aid, the seepage effect and the mass transfer efficiency in the leaching process are improved; the problems that a leaching agent is poor in surface wettability of clay minerals, the rare earth extraction period is long, the leaching recovery rate is low, the unit consumption of the leaching agent is high, the rare earth residual quantity is large, and environmental pollution is likely to be generated are solved. And ecological restoration and environmental protection of the rare earth mine are facilitated.

The present invention provides a method and system for identifying and discovering authoritative servers of different types of domain names, and relates to the technical field of data processing. The method comprises: obtaining a domain name set and its authoritative server set by obtaining network public domain name ranking data through a network request method; obtaining the authoritative server corresponding to each domain name by resolving the NS record of the domain name according to the domain name set, and forming an authoritative server set to be identified; constructing the association relationship between the authoritative servers and the resolved domain names according to the authoritative server set to be identified; analyzing the association relationship between the authoritative servers and the resolved domain names; establishing multiple determination strategies for identifying and discovering two different types of authoritative servers according to the association relationship information, and obtaining a third-party hosted authoritative server and a self-built authoritative server through the determination strategy. The present invention can effectively identify and discover two different types of authoritative servers, namely, self-built and third-party hosted.

This invention discloses a method and system for processing personnel information for business administration based on big data, relating to the field of personnel information data processing technology. The method includes the following steps: acquiring personnel information; preprocessing the personnel information to obtain preprocessed text information; processing the preprocessed text information through an embedding layer based on a CNN-BERT model to obtain a word vector matrix; processing the word vector matrix sequentially through a CNN convolutional layer, pooling layer, and fully connected layer to obtain structured data; using an improved ant colony optimization algorithm to perform path optimization for multi-condition combined queries on the structured data to obtain the globally optimal retrieval path; retrieving personnel information that satisfies the multi-condition combined query from the structured data based on the globally optimal retrieval path; and adaptively updating the global pheromone of the improved ant colony optimization algorithm after each round of multi-ant colony collaborative search to accurately locate the target personnel information.

The invention relates to an enterprise attendance system and a management method thereof.The enterprise attendance system comprises an attendance recording module, an attendance input module, a personnel management module, an attendance scheduling module, an attendance statistics module and an attendance database and is used for maintaining data circulation and function operation of the whole system, and the attendance recording module is used for systematically recording attendance data of employees in an enterprise; the attendance recording module is used for processing data of the attendance recording module and recording the processed data into an attendance database, the personnel management module is used for the system to manage employees of an enterprise, and the attendance scheduling module is used for an administrator to arrange attendance rules of common employees in the enterprise. The attendance statistics module is used for summarizing, sorting and displaying attendance data of all employees in an enterprise, and the attendance database is used for systematically recording the attendance data; through automatic data collection and processing, the time and labor cost of traditional manual attendance checking are reduced, and the efficiency of attendance checking management is improved.

A mining riser pipe 2 is extended toward a water bottom B, and at least a lower portion of an insertion pipe 3 connected to a lower portion of the mining riser pipe 2 is inserted into the water bottom B. A liquid L is supplied into the insertion pipe 3, and a rotation shaft 4 that extends inside the mining riser pipe 2 and the insertion pipe 3 in a pipe axial direction and stirring blades 6 attached to a lower portion of the rotation shaft 4 are rotated inside the insertion pipe 3, thereby drilling and dissolving mud S inside the insertion pipe 3 by using the stirring blades 6. Then, the mud S turned into a slurry form by the dissolving is raised to an upper portion of the insertion pipe 3 by a stirring flow generated by the rotation of the stirring blades 6, and the raised mud S in the slurry form is lifted above the water through the mining riser pipe 2 by lifting means. At this time, a rotation speed of the stirring blades 6 is made lower in an initial process at an early stage of the drilling than in a subsequent process after this initial process. In this way, water bottom resources contained in the mud of the water bottom can be efficiently collected.

The invention discloses a flexible resource aggregation and control method and system for a smart power grid, and the method comprises the steps: analyzing the operation state data of a novel power load, obtaining the spatial distribution characteristics of the novel power load in an operation state, and determining a candidate aggregation region; according to the power communication infrastructure data of the candidate aggregation region, constructing a target aggregation region screening model to determine a target aggregation region; converting the corresponding novel power load in the target aggregation area into equivalent impedance, and determining a resource clustering demand strategy of the target aggregation area based on the equivalent impedance; performing cooperative control on the operation parameters of the corresponding novel power load in the target aggregation area so as to match the resource clustering demand strategy; according to the method, resource configuration can be optimized by constructing the aggregation area, and the flexibility of distribution network coordination control and the stability of operation are improved.

The invention provides a log management method and device, a storage medium and electronic equipment, and is applied to the technical field of financial data processing. According to the method, original log data streams are consumed in real time from a message queue, dynamic grouping is carried out according to log traffic of message themes, large-traffic themes are distributed to independent groups, and small-traffic themes are combined to a shared group; starting an independent compression task for each group, and dynamically adjusting the degree of parallelism and memory resource configuration of the tasks; using a time window to group logs of the same theme according to time, and compressing the logs into a compressed data packet in real time; according to the method and the system, the real-time compression and ordered archiving of the logs are realized through dynamic grouping and resource adjustment, and the efficient archiving of massive logs is realized while the real-time query performance is ensured.

The invention relates to the technical field of construction management, and discloses a construction material consumption determination method, device and equipment, a medium and a program product. The method comprises the steps that a building information model and construction progress information corresponding to a target engineering project are acquired, and the building information model comprises sub-models corresponding to all construction parts; constructing a corresponding space structure tree based on the building information model; obtaining a plurality of preset standard processes corresponding to the target engineering project; based on a plurality of preset standard processes and the spatial structure tree, performing material quantification on each construction part to obtain a part material quantity; wherein the part material quantity is the total material quantity corresponding to each construction part; associating the space structure tree with the construction progress information to generate space-time information; and determining consumption information of each construction material based on the part material quantity and the spatio-temporal information. By implementing the technical scheme of the invention, the use amount of the construction material can be accurately determined, so that the construction management and the material configuration are optimized.

Proposed are a method for performing federated learning in a wireless communication system, and an apparatus therefor. The method performed by a terminal may comprise the steps of: generating a Q-ary code including i) a restriction-based system part and ii) a parity part by coding restriction-based Q-ary information; determining, on the basis of a preset method, the number T of transmissions of the parity part of the Q-ary code; on the basis of specific channel information from among channel information between a plurality of terminals and a base station participating in the federated learning, allocating power to the system part and T parity parts; and transmitting, on the basis of the allocated power, the system part and the T parity parts to the base station.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a communication system includes receiving an SL grant for SL transmission from a base station, in the presence of an SL positioning reference signal (SL-PRS) for transmission for a selected destination, identifying a first transport block size (TBS) including the SL-PRS based on the SL grant, and transmitting the SL-PRS on the basis of the SL grant in a case where all data in a logical channel having a higher priority than the logical channel of the SL-PRS is allocated with a resource of the SL grant.

The present disclosure provides for selective upsampling of visual sensor data for efficient display. The efficiency manager may selectively upsample portions of the captured data, e.g., to obtain higher quality visual content for certain portions of the user's field of view (e.g., unvarnished display). For example, an efficiency manager may select portions of captured visual data for up-sampling based on user eye movement tracking, and omit up-sampling of other portions. An efficiency manager may implement selective upsampling using a hierarchical texture map. The texture map may store visual data at different quality levels. The efficiency manager may sparsely fill high quality levels of the texture map with the selectively upsampled visual data. Rendering techniques (e.g., graphics processor unit hardware and / or rendering pipeline) may utilize the texture map to efficiently render visual data for display.

The invention discloses a method for separating and recycling high-salinity wastewater based on a nano ceramic membrane filter aid material, which comprises the following steps: pretreating raw high-salinity wastewater to remove suspended solids, hardness ions and part of organic matters; adding a nano ceramic membrane filter aid material subjected to surface hydrophilic modification into the pretreatment liquid to form a dynamic filter aid layer; filtering and separating through a ceramic ultrafiltration membrane assembly to obtain a permeate and a concentrated solution; the permeate liquid is used as reuse water for direct resource utilization, the concentrated liquid is further concentrated and subjected to evaporative crystallization treatment, inorganic salt crystallization products are recycled, and resource utilization is achieved. According to the invention, the dynamic layer of the nano ceramic filter aid material is utilized to enhance the anti-pollution capability and improve the membrane flux stability and the system recovery rate; and hydrophilic modification and regular cleaning are combined to realize long-term stability of membrane performance. The method is suitable for high-salinity wastewater treatment, the effluent quality meets the industrial recycling requirement, the process is efficient and resistant to corrosion, and near-zero liquid discharge of high-salinity wastewater and salt resource recovery are achieved.

The present invention discloses a data collection method, device and system for a weak current system. By monitoring the smoke concentration, carbon monoxide concentration, carbon dioxide concentration, oxygen concentration and temperature key parameters in the area, the present invention can timely discover the early signs of safety incidents such as fire, realize early warning and rapid response, and by integrating efficient data analysis algorithms, can conduct in-depth mining and real-time analysis on a large amount of collected data, improve data processing capabilities and the ability to predict potential risks, reduce dependence on manual monitoring through automated data collection and analysis, improve the level of intelligent management, and reduce operation and maintenance costs. When an abnormal situation is monitored, the present invention can quickly trigger an early warning signal, and notify management personnel in multiple ways through alarms, display devices and mobile terminals, thereby accelerating emergency response speed and improving the rate of early warning processing.

The application belongs to the technical field of plant genetic engineering and molecular breeding, and provides application of a MYB transcription factor gene in improving plant stress resistance and millet, wherein the MYB transcription factor gene derived from millet encodes a protein located in a cell nucleus, has transcription self-activation activity, and can specifically bind to E-box and AC-rich cis-acting elements; overexpression of the MYB transcription factor gene in plants can significantly improve the tolerance of transgenic plants to atrazine and other herbicides, drought and salt stress, and solves the problems of phytotoxicity of crops such as millet caused by residues of atrazine and other herbicides in soil, and growth inhibition of crops in osmotic stress environments such as drought and salinity. The application provides an effective gene resource and operation method for improving crop stress resistance by using genetic engineering technology, and can be applied to cultivation of new varieties of millet and other crops resistant to herbicides, drought and salt.