455results about How to "Good service" patented technology

The invention discloses an audio stream adaptive decryption method, system and device and a storage medium. The method comprises the following steps: acquiring an MPEG-DASH list file and analyzing the MPEG-DASH list file; the standard DRM interface is initialized; performing feature extraction on the identified audio segmentation information in the audio segmentation mode, and dynamically adjusting a segmentation request and processing logic according to the extracted features to perform adaptive segmentation downloading and preprocessing; extracting the encryption parameter to identify an encryption mark of the target audio stream platform, and selecting a corresponding decryption algorithm according to the encryption mark to decrypt the current audio segment; and performing audio frame reconstruction on the decrypted data to form an updated audio stream, caching the updated audio stream to a preset cache region based on a self-adaptive buffer strategy, and outputting the final audio stream to ensure the continuity of the final audio stream and realize efficient parallel processing of decryption and playing, so that the decryption efficiency is improved, and the user experience is improved. And particularly, in a high-concurrency scene, the user experience is improved.

The invention belongs to the technical field of information recommendation, and discloses a financial information recommendation method and system based on multi-channel distribution, and the method comprises the steps: collecting behavior data of multiple channels of a user, carrying out the cross-platform data integration, and forming a complete user behavior data set; constructing a multi-dimensional user portrait, establishing a financial information database, and marking a keyword tag for each piece of financial information; according to the keyword matching degree of the user portrait and the information content, using content recommendation and financial information conforming to user preferences, and based on historical behavior data of the user and behavior habits of similar users, using collaborative filtering to recommend financial information in which the user is interested to obtain a financial information recommendation list; according to the use habits of the user at different terminals, cross-platform information distribution is performed on the financial information recommendation list through multiple channels, so that the accurate recommendation capability of financial information is improved, and the user experience is improved.

The invention belongs to the field of geophysical exploration, and particularly relates to an aviation natural source electromagnetic method complex medium parallel three-dimensional forward modeling method. Comprising the following steps: S1, constructing a three-dimensional geological geometric model of a research area; s2, generating a model unstructured tetrahedral mesh; s3, setting anisotropic conductivity tensor and magnetic conductivity of the model unstructured tetrahedral mesh; s4, constructing a frequency domain electric field control equation; s5, adopting a vector finite element discrete electric field control equation; s6, setting boundary conditions; s7, solving a finite element linear equation; s8, calculating three components of an electric field and a magnetic field at the measuring point and the base station; and S9, calculating impedance, apparent resistivity, phase and tipper data at the measuring point. According to the method, a three-dimensional forward modeling algorithm is provided for the aviation natural field source electromagnetic method, a basis is provided for research of the aviation natural field source electromagnetic method theory and inversion interpretation of actual observation data, and then the aviation natural field source electromagnetic method can better serve the application fields of mineral exploration, engineering exploration and the like.

The invention discloses a fresh flower selling management system and method based on a block chain technology, and relates to the technical field of fresh flower management. A data acquisition module acquires real-time data of a fresh flower planting link and a logistics transportation link, transmits the real-time data to a block chain storage module, and binds an identifier of a fresh flower; the block chain storage module is used for storing the fresh flower information and storing the data of the full life cycle of the fresh flowers in a distributed account book; the user access module is used for checking a display legend of the fresh flower and related information of the fresh flower at a user side, and the intelligent contract module is used for generating order information and carrying out payment settlement and automatic account division; the inspection module is used for inspecting flower quality and flower information; and the abnormity monitoring and feedback module is used for timely recording and sending notifications when abnormity is found in the planting, transportation or sales process, and quickly positioning problem nodes. According to the method, the transparency of the whole flow of fresh flower planting and transportation is improved, the data security and credibility are ensured, and rapid traceability is realized.

The invention relates to the technical field of medical image processing, and discloses a CyclGan-based multi-modal medical image elastic registration system, which comprises a multi-modal medical image data preprocessing module, a CyclGan-based elastic registration module, a CyclGan-based elastic registration module and a CyclGan-based elastic registration module, a module for training the CyclGan model on the basis of training strategies of medical image data of different modalities; a module for performing elastic transformation and resampling on the preprocessed medical image based on an output grid of the model; and a post-processing module is used for post-processing the deformed medical image. Through the above operations, automatic elastic registration between medical images of different modalities and fusion of medical images of different modalities after registration and alignment can be realized, a doctor is helped to obtain more comprehensive information and more accurately position a lesion area, and thus the accuracy and efficiency of diagnosis are improved.

The invention discloses a vehicle-mounted intelligent scene generation method and device based on a large model, equipment and a storage medium. The method comprises the following steps: receiving user expression information input by a user, and outputting user intention information according to the user expression information by utilizing a preset large language model; a new vehicle scene card is determined to be generated according to the user intention information, or a target vehicle scene card matched with the user intention information is determined by using a knowledge graph, and the knowledge graph comprises historical vehicle scene cards; and controlling the current vehicle according to the execution action in the new vehicle scene card or the target vehicle scene card. According to the technical scheme of the embodiment of the invention, the new scene card is generated or the matched historical scene card is found, so that the problem that the scene card lacks flexibility and individuation is solved.

The invention relates to the technical field of user data processing, in particular to a user portrait enhancement method based on a dynamic tag, which is applied to a system method for designing data acquisition, data processing, data analysis and data classification of a user information and user portrait data use platform. By analyzing the user behavior in real time and dynamically adjusting the label in the user portrait, the more accurate and comprehensive user portrait can be constructed, and the real-time interest and long-term preference of the user can be captured. Based on the dynamically updated user portraits, the system can provide highly personalized recommendation services, commodity recommendation, content recommendation or service recommendation can be closer to the real demands of the users, and the satisfaction degree and participation degree of the users are improved.

The invention discloses an all-sky cloud imaging real-time simulation method of a three-dimensional structure, which is used for realizing real-time rapid simulation of a cloud image with set spatial resolution per hour, and comprises the following steps: obtaining basic geographic information data of a research area; carrying out background field data fusion; interpolating the ground meteorological data collected in real time to the grid points of the research area by adopting an interpolation method; obtaining surface meteorological analysis and background field data, and realizing three-dimensional temperature analysis according to a static relation; obtaining an initial guessing field of three-dimensional cloud analysis, and obtaining a three-dimensional cloud analysis field in combination with three-dimensional temperature analysis; an initial three-dimensional water vapor analysis field is obtained according to the background field data, and three-dimensional water vapor analysis is realized by performing optimization iteration solution on a target function; obtaining soil humidity analysis according to the surface meteorological analysis and the three-dimensional cloud analysis field; according to the surface meteorological analysis, the three-dimensional temperature analysis, the three-dimensional cloud analysis field and the three-dimensional water vapor analysis, derivative product analysis is achieved; and simulating to obtain all-sky imaging data.

The invention provides a large model connection context dialogue method based on an LSTM (Long Short-Term Memory) model, which belongs to the field of intelligent deep learning and comprises the steps of data preprocessing, input sequence coding, hidden state and memory cell initialization, decoding response generation, output sequence decoding, training and optimization, evaluation and adjustment. The method has high accuracy and response speed when processing a complex dialogue scene, and can be widely applied to the fields of intelligent customer service, intelligent assistants and the like.

The invention provides a zero sample image classification system and method, and the system comprises a visual feature extraction module which is used for obtaining image visual feature data according to an input unseen category image; the semantic information extraction module is used for obtaining image semantic information data according to the input text information corresponding to the unseen category image; the cross-modal feature fusion module is used for obtaining aligned visual-semantic feature data according to the input image visual feature data and image semantic information data; and the classification module is used for obtaining a classification result of the image category according to the input aligned visual-semantic feature data. Compared with the prior art, the method has the advantages that image information, auxiliary information and shared information between the image information and the auxiliary information can be better utilized, and under the setting of zero samples, the classification precision of visible categories can be kept at a high level, and the classification performance of unvisible categories can be effectively improved.

The invention discloses a multi-scale super-pixel-level ground feature classification and recognition method and device, a medium and a product, and relates to the field of image processing. The method comprises the following steps: respectively carrying out principal component analysis on optical and radar remote sensing images to extract principal component feature images; normalizing the principal component feature image, and determining a super-pixel clustering target criterion; performing super-pixel segmentation on the principal component feature image based on a super-pixel clustering target criterion by adopting a plurality of segmentation sizes; the features of texture, polarization and the like are extracted based on the preprocessed optical and radar remote sensing images, the pixel mean value of feature images corresponding to all pixels included in each segmented superpixel is taken as the feature value of each superpixel on different feature images, the extracted multi-dimensional feature value is taken as the input of a machine learning model, and ground feature classification is identified. The adaptability and robustness of superpixel segmentation can be enhanced, diversified classification tasks and complex scenes can be better served, and therefore the precision and efficiency of ground feature classification and recognition are remarkably improved.

The invention discloses a safe medication system and a safe medication method for elderly patients, which can monitor whether the elderly take medicine according to medical advice or not and monitor the health state of the elderly. The physiological data of the patient is monitored by the wearable end, so that the health state of the patient can be roughly judged by combining data such as heart rate, electrocardio, respiratory rate and blood pressure, and whether the patient is in danger or not can be found in time; and meanwhile, whether the drug effect of the patient is exerted and whether the patient has drug safety can be known by monitoring the physiological data for a period of time after drug use. According to the invention, the medical advice is uploaded or issued through the medical care terminal, and the medication information in the medical advice is analyzed into the medicine type counting quantity and the medication mode of the medication, so that the medication plan of the patient is planned, and then the patient is prompted to take the medication on time according to the plan. And the medicines are distributed through the intelligent terminal module, and the intelligent terminal module communicates through the system, so that the medicines can be distributed according to the control of the medical care terminal, the management terminal and the system to prevent the patient from eating by mistake, and the medication safety is greatly improved.

The invention belongs to the technical field of data analysis, and particularly relates to an information analysis method for bidding documents. The information analysis method comprises the following steps: S1, obtaining a newly added bidding and tendering file, and sending the file into a preprocessing module; s2, the preprocessing module outputs corresponding preprocessing data to a classification module; s3, the classification module divides the content in the current preprocessed data into valid tables, core blocks and independent blocks, and then the valid tables, the core blocks and the independent blocks are sent into a table analysis module, a core analysis module and an independent analysis module respectively; and S4, the table analysis module, the core analysis module and the independent analysis module respectively output the first analysis data, the second analysis data and the third analysis data to an integration module for integration to obtain core information and output the core information. According to the method, the core information of various bidding and tendering files can be accurately and efficiently analyzed.

The invention discloses a power grid transient voltage coordination control method under a distributed photovoltaic storage high permeability working condition, and the method comprises the steps: detecting the voltage change condition of a grid-connected point where a distributed photovoltaic power station is located, and combining the short-circuit ratio of the grid-connected point where the distributed photovoltaic power station is located to a collection point; carrying out pre-estimation calculation on the reactive compensation amount required near the grid-connected point where the key point is located; and through optical storage cooperative control and consideration of different photovoltaic reactive power margin conditions, the reactive power compensation capability of the photovoltaic inverter is developed, smooth processing of the output power of the photovoltaic inverter is realized, and the transient voltage stability of a grid-connected point is improved.

The present invention relates to the field of antenna system technology, and in particular to a method for improving the operating performance of an antenna system and a method for simulating the operating performance of an antenna system. A metal truss electromagnetic window is used as a protective cover for the antenna system, and a variable-section electromagnetic window structure is used, wherein the variable-section electromagnetic window structure uses trusses of different widths to form irregular pseudo-randomly distributed trusses; the electromagnetic window pseudo-randomly distributed trusses are used to offset the scattering effect between the electromagnetic window trusses; the influence on the electromagnetic performance of the antenna system is weakened by offsetting the scattering effect between the trusses, thereby improving the operating performance of the antenna system; the variable-section electromagnetic window structure can also optimize the mechanical properties of the electromagnetic window. The present invention can achieve optimization effects on electromagnetic and mechanical properties by using a variable-section electromagnetic window structure, effectively improve the comprehensive electromechanical performance of the electromagnetic window, better provide services for the operation of the antenna system, and has good application prospects.

The invention belongs to the technical field of natural language processing, and discloses a natural language processing platform and method based on deep learning, and the platform comprises a data collection module which is used for collecting font data, text data, image data and environment data; the data processing module is used for preprocessing the collected font data, text data, image data and environment data and obtaining a comprehensive feature data set; the character recognition module is used for predicting character recognition results through a character recognition model and judging whether the character recognition results are consistent or not; the semantic recognition module is used for generating corresponding character paraphrases through a semantic recognition model; collecting character recognition results and corresponding character paraphrases through the software terminal; the voice output module is used for converting the character recognition result and the paraphrases of the corresponding characters into natural voices and outputting the natural voices by adopting a TTS technology; through the implementation of the technology, students can be helped to better learn and understand.

The invention relates to the technical field of input method management, in particular to an electronic whiteboard input method automatic switching method and system based on environment recognition. The method comprises the following steps: constructing an environment information model by monitoring system language and context environment in real time and integrating voice recognition, text analysis and image processing technologies; reasoning and dynamically updating an input method mapping table by utilizing a Markov logic network algorithm; based on the mapping table, identifying a user input demand through a prediction algorithm and automatically switching to the most suitable input method; user feedback and use habits are recorded, a deep learning algorithm is used for analysis, an input method mapping rule and a switching algorithm are continuously optimized, and intelligent input method management is achieved. According to the method, the input method is automatically adjusted by sensing the change of the used language and the context environment in real time, so that the user experience and the intelligent level of the system are improved, the efficient and automatic switching of the electronic whiteboard input method is realized, and the input efficiency and the use experience of the user are improved.

The embodiment of the invention provides a quality inspection processing method and device for an external visiting task, terminal equipment and a medium, and belongs to the technical field of data processing. The method comprises the following steps: determining user information of a visiting object according to a visiting task; performing external visiting communication on the external visiting object according to the user information to obtain external visiting image information and external visiting voice information corresponding to the external visiting object; performing quality inspection on the external visit image information and the external visit voice information to obtain external visit quality; and generating an external visit report of the external visit task according to the external visit quality. And the data quality in the external visiting process can be ensured through quality inspection of the external visiting information. The accuracy and reliability of the external visiting task can be improved, so that the overall level of the business is improved, and the requirements and feedback of the external visiting object can be better known through the external visiting report, so that the customer satisfaction is improved, and the customer relationship is enhanced. And the problems of information asynchronization, possible leakage of user privacy and no credibility of a quality inspection result in the external visiting task in the related technology are also solved.

The invention belongs to the technical field of geological disaster prevention and reduction, and relates to a geological disaster meteorological probability early-warning method considering regional rainfall distribution, which comprises the following steps: dividing a research region into a plurality of early-warning subareas, and calculating the early-warning subareas according to the actual rainfall values corresponding to each early-warning subarea at different forecast rainfall levels; establishing a daily scale forecast-live rainfall probability distribution model; acquiring an early-warning index sample set corresponding to the occurrence of historical geological disasters in each early-warning subarea, determining a minimum value Tmin in the early-warning index sample set, and taking T = Tmin as an early-warning limit state of the current early-warning subarea in the statistical sense; and calculating failure probabilities of all the early warning units in each early warning partition, determining early warning levels of all the early warning units in each early warning partition according to current early warning specifications, and forming an early warning result of the research area. According to the invention, the failure probability is introduced to represent the possibility of regional scale geological disaster occurrence, and the accuracy of geological disaster meteorological risk early warning can be effectively improved.

The invention relates to the technical field of landslide geological recognition, in particular to a reservoir water storage period wide-area landslide geological disaster rapid recognition method, which comprises the following steps: acquiring SAR data and DEM data of a target area covered by a reservoir water storage period; performing baseline estimation according to the SAR data acquired in the same target area at different times, and removing long baseline data to obtain a short baseline data set; performing differential interference processing on the short baseline data set based on external DEM data to obtain a differential interference result; mutual verification is carried out on interference pair combinations corresponding to the multi-period differential interference results of the same main image or adjacent time periods by using the short baseline data set, and potential hidden danger points of the reservoir area are determined; and performing field verification on the potential hidden danger points of the reservoir area by using an unmanned aerial vehicle aerial photography technology, and determining landslide disaster points. According to the invention, sudden landslide disaster points caused by water level changes can be found quickly, efficiently and accurately.

The invention discloses an electric power spot market transaction strategy optimization method and system suitable for a combined distribution and storage main body, and belongs to the field of electrical engineering. According to the method, a quotation strategy optimization model of a joint distribution and storage main body in an electric power spot market is constructed based on a master-slave game architecture. The method comprises the following steps: firstly, respectively establishing transaction strategy optimization models of three subjects including a thermal power generating unit, a new energy power station and industrial and commercial users; secondly, an electric power spot market optimization clearing model is constructed; thirdly, the market optimization clearing model is equivalently converted into a constraint condition of a joint distribution and storage main body optimization problem through a KKT condition, so that a non-convex nonlinear double-layer game model is converted into a nonlinear single-layer optimization problem; finally, nonlinear terms in the optimization problem are linearized, and a mathematical model easy to solve is formed. Therefore, by constructing the transaction strategy model and performing numerical simulation, the optimal transaction strategy of the combined distribution and storage main body is finally output, the optimal transaction strategy can be used for guiding the spot market transaction decision, and the economic benefit is maximized.

The invention belongs to the field of data processing, and particularly relates to an intelligent service analysis optimization method and system based on a multi-dimensional data warehouse, and the method comprises the steps: obtaining the data attribute information of a to-be-recognized object for the to-be-processed object loaded in the data warehouse; inputting the data attribute information into a dynamic data analysis model, and performing data identity recognition on the to-be-recognized object to obtain target identity information of the to-be-recognized object; based on the target identity information, performing identity tracing on the to-be-identified object by adopting a dynamic tracing model to obtain target tracing information of the to-be-identified object; and based on the target identity information and the target traceability information, triggering a target data service for the to-be-identified object to complete intelligent service analysis of the to-be-processed object. According to the method, the data identity recognition and traceability capability can be improved, powerful support is provided for intelligent service analysis, and the method is dedicated to realizing data-driven decision making.

The invention discloses a policy question-answering method, device and equipment based on a large model and a medium, and relates to the technical field of policy question-answering, and the method comprises the steps: obtaining an initial policy question sent by a user side, and rewriting the initial policy question through a first pre-training large model to obtain a rewritten policy question; performing vectorization conversion on the rewritten policy problem based on the semantic feature and the problem scene feature to obtain a vectorized policy problem; screening policy information stored in a preset question matching database to judge whether a target policy answer corresponding to the vectorized policy question exists in the preset question matching database or not; and if not, screening an associated document corresponding to the vectorized policy question from a preset policy knowledge base, and determining a cue word corresponding to the vectorized policy question from a preset policy cue word library to obtain a target policy answer. Therefore, the processing efficiency of the policy problem based on the large model is improved, and better user experience and service are provided.

The invention discloses a directional advertisement putting system based on a rule engine, and belongs to the technical field of telecommunication networks. Through mutual cooperation and cooperation of an advertisement library management module, a user behavior construction module, an advertisement matching engine module, a flow reporting module and a real-time monitoring module, advertisement pre-putting information is processed based on a personalized label, and an advertisement is rapidly matched and selected when a terminal requests the advertisement. The problems of low efficiency and lack of flexibility caused by the fact that an existing advertisement delivery system is limited to a single terminal and a mechanical delivery mode are solved, consumed time and labor cost are reduced, advertisements are delivered more accurately according to labels, changes of consumer behaviors or changes of market trends can be responded in time, and the service life of the system is prolonged. And thus, the advertisement resource allocation accuracy and conversion rate are improved.

The invention discloses a new energy power station spot transaction strategy simulation and market optimization operation method and system based on a master-slave game, and belongs to the field of electrical engineering. According to the method, a master-slave double-layer game architecture is adopted, and a spot market transaction strategy optimization model of each new energy power station is firstly established; secondly, constructing an electric power spot market optimization clearing model; thirdly, the market optimization clearing model is equivalently converted into a constraint condition of a new energy power station optimization problem through a KKT condition, so that a non-convex nonlinear double-layer optimization model is converted into a mathematical programming problem with equilibrium constraint of each new energy power station; and finally, the optimization model of each new energy power station is converted into a constraint condition through the KKT condition, and a ''equalization problem with equalization constraint'' is formed in parallel. Therefore, simulation of transaction strategies of a plurality of new energy power stations can be realized, market optimization clearing is synchronously realized, and the method is used for guiding core businesses such as clearing price prediction and market benefit evaluation of market operators.

The invention relates to a home-based care technology for the aged, is used for solving the problems of difficulty in shopping, damage to the body caused by large activity and difficulty in distinguishing food quality in home-based care for the aged, and particularly relates to a home-based care smart cloud system based on the Internet of Things, which comprises a shopping auxiliary module, a health management module and a service evaluation module, according to the invention, the shopping auxiliary module is combined with the health management module to judge the activity amount of the elderly, so that the situation of shopping difficulty caused by non-support of the activity amount of the elderly is avoided; the health management module compares the activity data of the elderly with the optimal activity to judge whether the elderly is suitable for self-shopping, so as to prevent the physical health of the elderly from being damaged due to excessive activity; whether an article is fresh or not is judged through the service evaluation module according to quality assurance information of an article package and color difference comparison, the situation that old people eat deteriorated food to affect body health is avoided, and service scoring evaluation is conducted on stores in a set range in the aspects of pre-stocking and expenditure amount through the service evaluation module.

The utility model relates to the technical field of road traffic, in particular to an urban road and traffic engineering guide signboard supporting device which comprises a connecting rod, the lower end of the connecting rod is fixedly connected with an installation base, a groove is formed in the upper portion of the right end of the connecting rod, and a threaded rod is movably connected between the upper groove wall and the lower groove wall in the groove in a penetrating mode. A driver is fixedly connected to the upper end of the connecting rod, the output end of the driver penetrates through the upper end of the connecting rod and is fixedly connected with the threaded rod, a supporting mechanism is connected to the outer surface of the threaded rod in a threaded penetrating mode, and fixing devices are movably connected to the left portion and the right portion of the supporting mechanism in a penetrating mode. The rear ends of the two fixing devices are jointly provided with a guide plate, and positioning rods are connected to the middles of the front ends of the fixing devices in a penetrating mode. According to the urban road and traffic engineering guiding signboard supporting device, the supporting mechanism is arranged, so that the guiding signboard is stably supported by the device.

The invention discloses a wireless communication link optimization system and method, and relates to the field of wireless communication. According to the method, the defect that the communication quality is evaluated only by depending on a single or few performance indexes in the prior art is overcome, and a comprehensive evaluation model which considers multiple factors and can accurately reflect the task specificity in the cloud-edge collaborative environment is constructed; the problem of poor adaptability of static QoS configuration to network environment change in the prior art is also overcome; meanwhile, the limitation that QoS parameters are difficult to preset and adjust in the prior art is improved, a set of mechanism capable of flexibly adjusting the QoS parameters is designed, the QoS strategy can be periodically generated and issued, and manual intervention is not needed.

The invention discloses an enrichment and culture method based on immunomagnetic beads, which comprises the following steps: acquiring a to-be-enriched sample, and judging the bacterial concentration of the to-be-enriched sample; if the bacterial concentration is greater than a first preset threshold value, directly performing first operation on the to-be-enriched sample; if the bacterial concentration is smaller than a second preset threshold value, performing a second operation on the to-be-enriched sample; and if the bacterial concentration is greater than a second preset threshold value and less than a first preset threshold value, performing third operation on enrichment of the to-be-enriched sample. According to the present invention, with the method, the enriched bacteria characteristics are significant, the positive reporting rate is improved, the positive reporting time is substantially shortened, the immunomagnetic beads are adopted to enrich and culture the bacteria in the sample so as to shorten the time, reduce the false negative, improve the positive reporting rate, further improve the microbiological identification level, shorten the identification time, and improve the detection accuracy. And the clinical application is better realized.

The invention discloses an intelligent content extraction method and system based on a power grid standard table, and relates to the technical field of data processing. Comprising the steps of collecting a power grid standard table image and performing preprocessing; carrying out multi-modal feature extraction; constructing a knowledge graph, and identifying entities in the text; training the pre-training model BERT, and updating model parameters in real time; performance evaluation is carried out, and BERT model performance is continuously optimized; and displaying the content extraction result and performing automatic updating management on the knowledge picture. By continuously optimizing and improving the model, the extraction accuracy can be further improved, continuously changing data and requirements can be adapted, and the power grid standard table content extraction system can continuously provide reliable and efficient services for users.