149 results about "Technology analysis" patented technology

The invention relates to a man-machine interaction dialogue method, system and device based on a natural language and a medium. The method comprises the steps that firstly, multi-modal interaction data is acquired and preprocessed, and segmented words and syntax are analyzed through a natural language processing technology to construct intention feature vectors; combining the intention feature vector with a historical dialogue record, and using a pre-trained language model to generate context semantic elements containing a semantic relationship; if the context semantic elements are matched with the preset scene feature library information, predicting a user intention change trend by adopting a reinforcement learning model to obtain an intention prediction result; and finally, evaluating user intention change based on an intention prediction result, extracting associated domain knowledge by utilizing a knowledge graph if significant change occurs, and inputting the associated domain knowledge into a dialogue generation model to obtain a natural language reply sequence. According to the method, the understanding precision of the user intention is improved, the dynamic prediction of the intention change is realized, the relativity and coherence of reply are guaranteed, and a more efficient processing path is provided for natural language man-machine interaction.

The invention discloses a technology development analysis method and system based on a patent big language model, and relates to the field of big data analysis. The problems that an existing artificial intelligence patent analysis method is difficult to accurately analyze a technical structure in a patent text, cannot describe a technical hierarchical relationship, is difficult to eliminate technical semantic diversity, cannot systematically analyze a technical evolution process and the like are solved. And the network structure characteristics and the technology node importance are analyzed, and the evolution characteristics of the technology system in different stages, the key technology nodes and the change trend of the technology community structure can be identified, so that technical support is provided for artificial intelligence technology development situation research and judgment and technology layout decision. The method is suitable for a technical analysis scene of million-level patent data.

The invention discloses an intelligent operation and maintenance method and system for an energy management platform, and relates to the technical field of intelligent operation and maintenance, and the method comprises the steps: analyzing data through employing an NLP technology, generating a multi-objective optimization function, constructing a user behavior portrait, adjusting the weight parameters of the multi-objective function through employing a reinforcement learning algorithm in combination with an Actor strategy network, and carrying out the operation and maintenance of a user. An energy scheduling scheme is obtained by using an improved bald eagle search algorithm and a prey escape energy mechanism, a digital twinborn model of mapping of a physical space and a virtual space is constructed, and the energy scheduling scheme is optimized and implemented by combining the digital twinborn model with a soft constraint mechanism. Through fusion of NLP technology semantic analysis and a reinforcement learning algorithm, a multi-target scheduling strategy is dynamically optimized, and an improved bald eagle search algorithm and a digital twin model are combined to realize simulation verification and closed-loop feedback, so that the intelligence and optimization level of energy system operation is improved, and the stability, economy and low-carbon operation capability of the system are also improved.

The invention discloses an airport aircraft variable anti-collision protection area construction early warning method and system and electronic equipment. The method comprises the steps that S1, a multi-level anti-collision protection area basic standard model of an aircraft is constructed in an airport map model; s2, collecting motion sequence data of the aircraft in a time period t1 before the current moment, and inputting the motion sequence data into the LSTM data prediction model to predict motion sequence data of the aircraft in a time period t2 after the current moment; s3, extracting motion sequence data of the time period t1 to adjust the sizes of the emergency collision avoidance area, the early warning monitoring area and the adjacent risk area; collecting the vehicle speed in the vehicle motion sequence data and the speed and course data in the motion sequence data in the time period t2 to calculate the relative distance and the relative speed of the vehicle and the aircraft; and S4, the anti-collision early warning system judges and predicts whether falling into an adjacent risk area, an early warning monitoring area and an emergency collision avoidance area. According to the method, prospective anti-collision technical analysis is realized, and the airport safety operation margin is improved.

The invention belongs to the field of medical technology analysis, and discloses an analysis method and system for revealing a hidden binding pocket of a drug target, and the method comprises the steps: firstly obtaining a representative conformation metastable state of a target protein through conventional molecular dynamics simulation and clustering analysis; secondly, constructing a Markov state model to analyze a dynamic transformation rule between conformations; carrying out enhanced sampling by adopting meta-dynamics, and deeply exploring a rare conformation space; and finally, constructing a free energy landscape to quantitatively evaluate the relative stability of the conformation, and identifying a hidden binding pocket in the stable rare conformation. According to the method, the limitation of a single calculation means is overcome, a full-chain calculation system of dynamic conformation analysis-hidden cavity feature mining-novel ligand rational design is constructed, and the formation mechanism and potential druggability of the hidden pocket can be comprehensively revealed from the two dimensions of dynamics and thermodynamics; and an efficient and accurate calculation framework is provided for research and development of innovative drugs targeting difficult drug targets.

The invention relates to the technical field of intelligent testing, and discloses a software test task management method and device based on an intrusive instruction knowledge base, equipment and a medium, and the method comprises the steps: analyzing an obtained demand card based on a large model technology, analyzing a semantic role of a vocabulary in the demand card through a semantic role labeling technology, and obtaining a semantic role of the vocabulary in the demand card; extracting test requirements and test points of semantic roles of vocabularies in the requirement cards; querying test information matched with the test requirements and the test points in a knowledge base of the software project, and determining the test information with the highest matching degree as target test information; in combination with the demand card and the target test information, automatically generating a test scheme of the current version based on a large model technology; and according to the generated test scheme. The method can be applied to the development of business systems such as financial science and technology, medical health, old-age care and the like, and the efficiency of the test work is remarkably improved by automatically analyzing the demand card, generating the test scheme and arranging the test task.

The invention discloses a new energy automobile fault diagnosis system based on an AI intelligent model, and the system comprises the steps: collecting the dynamic, static and historical data of an original automobile through a data collection module, obtaining a real-time data flow through the combination of a diagnosis box and an OBD interface, and integrating the local or cloud static data; the AI model data module is connected with the data acquisition module and is used for supplementing fault data and maintenance records of vehicle enterprises, maintenance sites, 4S stores and the like, and the multi-dimensional data processing module is used for carrying out data association analysis, mining hidden relationships and constructing a multi-dimensional feature matrix; the AI model data processing and decision analysis module processes multi-source data, analyzes the data by using technologies such as a knowledge graph and a long-short-term memory network, and adapts to a new vehicle type through transfer learning; and the AI diagnosis report module is used for matching faults and reasoning roots, generating a report containing maintenance suggestions, and also has predictive maintenance and emergency processing functions, so that efficient and accurate diagnosis is realized.

The invention provides a scene recognition and value-added service adaptation system and method based on a 5G new call, and aims to improve the intelligence and automation level of the 5G call. The system comprises a service control processing module, a service function intelligent selection module, a voice media processing module, a video media processing module, an AI intelligent identification module, a user interface module and an RTP processing module. User behaviors and call content are analyzed through the AI technology, and the system can automatically recognize call scenes and intelligently select corresponding value-added services such as real-time translation, voice transcription and virtual background. The user interface module optimizes scene recognition and automatic switching functions, provides a value-added service control panel and personalized setting, supports voice instruction operation, and realizes efficient interaction between a user and the system. The system can seamlessly integrate the value-added service into the call media stream, dynamically adjust the service to adapt to the change of the call scene, and continuously optimize the call experience of the user.

The invention discloses a financial futures market condition analysis method and system based on multi-agent collaboration. The method comprises the steps that structured data including market data, news information and social media emotion are collected in real time; carrying out technical index technology and trend analysis and supporting resistance potential identification by adopting indexes including a moving average line, a relative strength index RSI, an exponential smoothing different and similar moving average line MACD and a Boforest belt, and outputting a technical analysis report; a basic analysis report is output by analyzing the financial statement, the macroeconomic data and the industry dynamics; the method comprises the following steps: analyzing market emotion, news emotion and social media public opinions by adopting a natural language processing method and an emotion analysis method to obtain market emotion indexes; and generating executable prediction and investment suggestions by integrating the technical analysis report, the basic analysis report and the market emotion indexes. According to the method, the problems of limitation of a single model, data islands, insufficient real-time performance and the like in the prior art are solved.

The invention relates to the technical field of data processing, in particular to a data processing method and system for a health management platform, and the method comprises the steps: connecting a wearable device, a medical institution information system and a user manual input channel through a multi-interface data collection unit, collecting multi-source health data, and carrying out the standardized integration; after the integration is completed, encrypting the data, and constructing a distributed storage architecture based on a block chain technology to store the multi-source health data; constructing a user health baseline model according to the multi-source health data to calculate various health indexes of the user, analyzing the health data of the user through a machine learning technology, and performing real-time monitoring; and generating a personalized intervention scheme according to an analysis result, establishing an intervention effect feedback mechanism, and optimizing the personalized intervention scheme according to a feedback result. According to the invention, the service level of the health management platform is improved through standardized data integration, privacy protection enhancement and user personalized analysis model construction.

The invention discloses a self-adaptive multi-agent stock trading method and device based on three-state market perception, and belongs to the field of artificial intelligence and financial science and technology. The method comprises the following steps: preprocessing stock historical data based on a technical analysis theory, and constructing a standardized feature system; a cattle market, a bear market and an oscillation market are divided by calculating a closing price change rate and a fluctuation rate and combining a threshold value, so that dynamic identification of market states is realized; constructing a multi-dimensional feature extraction model fusing CNN, BiGRU and an attention mechanism; a transaction environment close to a real disk is designed, a self-adaptive reward function based on a market state is constructed, a dynamic loss stopping mechanism and a bin position control strategy are integrated, and the risk control and income acquisition capability is enhanced; a multi-agent system is introduced, and a priority experience pool, a dynamic exploration strategy and a Dueling DQN architecture are adopted, so that the learning efficiency, the strategy robustness and the decision precision are improved. The method has high environment adaptability and risk response capability, and is suitable for high-frequency dynamic transaction scenes.

An object of the system according to the embodiment is to propose an appropriate subsidy based on company information and to support creation of an application document.SOLUTION: A system includes a company information analysis part, a subsidy proposal part, and an application document preparation support part. The company information analyzing unit analyzes the company information by using the generated AI. The subsidy proposing section proposes an appropriate subsidy based on the company information analyzed by the company information analyzing section. The application document preparation support unit supports preparation of an application document for the subsidy proposed by the subsidy proposal unit.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for collecting a communication history of a deceased; means for extracting text data from the communication history; means for analyzing the text data with a natural language processing technique to identify linguistic features of the deceased; means for generating a personality model of the deceased based on the identified linguistic features; means for reproducing speech based on the personality model; and means for generating a video frame using the reproduced speech.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of analyzing input data using natural language processing technology and extracting important information, A method for automatically generating a proposal talk script based on extracted key information, A means for predicting customer questions based on documents and historical data, and generating a question-and-answer collection, By collecting user feedback and updating the AI ​​model, we can improve the generated results. A system that includes this.

The invention belongs to the technical field of data analysis, and discloses a technology information analysis method, device and equipment based on generative artificial intelligence. The method comprises the following steps: collecting an original scientific and technological information data set, and extracting a plurality of technical keywords from the original scientific and technological information data set; counting the frequency distribution condition of each technical keyword by utilizing a search engine, and constructing time sequence data corresponding to the plurality of technical keywords on the basis of the frequency distribution condition; screening out a plurality of outbreak keywords from the plurality of technical keywords according to the time sequence data; performing hotspot technology analysis on the original science and technology information data set based on the plurality of outbreak keywords; and carrying out technology clustering based on a hotspot technology analysis result, and carrying out technology maturity prediction on various hotspot technologies. According to the mode, quantitative analysis can be carried out on dynamic changes of the keywords, clustering and maturity prediction are combined, maturity prediction can be carried out on the analyzed hotspot technology, and the timeliness of science and technology intelligence analysis is also improved.

The invention discloses a panoramic power market situation deduction analysis method, system and device and a medium. The method comprises the steps that panoramic power initial parameters used for deducing a future target period are configured; performing deduction calculation through a parallel coupling simulation algorithm to obtain power generation side panoramic technology contribution situation data of a future target period; determining power utilization side basic technical responsibility based on the power generation side panoramic technical contribution situation data, allocating system technical service demands to different user groups according to a first allocation rule, and calculating a power utilization side total technical load and a unit electric quantity technical load; and generating a panoramic power market technology situation analysis map according to the power generation side panoramic technology contribution situation data and the power utilization side total technology load, and realizing situation deduction analysis and risk early warning. According to the invention, market technology analysis is improved from post-event statistics to beforehand deduction and in-event early warning, and a brand new quantitative analysis tool is provided for power system planning, operation optimization and risk prevention and control.

The present application belongs to the technical field of analysis and identification of fermented food, and particularly relates to a method for distinguishing and identifying fermented food of different processes based on chemical isotope labeling liquid chromatography-mass spectrometry (CIL-LC-MS) technology analysis of carboxylic acid. In order to accurately and simply identify the type and content of carboxylic acid, and thus based on carboxylic acid panorama analysis, efficiently and conveniently distinguish and identify fermented food of different processes, the present application introduces CIL-LC-MS technology to analyze carboxylic acid and thus distinguish and identify fermented food of different processes. The technology can significantly enhance the response value and detection sensitivity of carboxylic acid through chemical labeling strategy, and effectively overcome the ion suppression interference of the matrix by using isotope internal standard, so as to realize accurate quantification. Combined with its inherent three-level identification process, the present application can efficiently and conveniently distinguish and identify fermented food of different processes.

A system is provided.SOLUTION: A system comprising: means for receiving personal information entered by a user; generative artificial intelligence means for analyzing the received personal information to generate a unique fortune or advice; and means for providing the generated fortune or advice to the user.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of receiving instructions from the user and extracting data for content generation, A means of analyzing received data using natural language processing technology and identifying key information, A means of generating content using a generative AI based on identified key information, A means of sending the generated content to the user, A system that includes this.

The invention provides an intelligent and accurate tobacco leaf baking quality tracing method based on a block chain, and belongs to the technical field of tobacco leaf baking. Data transmission is optimized by deploying a layered block chain structure, and temperature, color and metabolite data in the baking process are collected by using an intelligent sensor; the method comprises the following steps: analyzing a sample and extracting mass spectrum characteristics based on a chromatography-mass spectrometry technology, establishing a model screening marker by adopting time sequence analysis and orthogonal partial least square discriminant analysis, forming digital fingerprints from marker data through a hash function, writing the digital fingerprints into a block chain, and optimizing metabolic spectrum model parameters by applying a dynamic weight function. Adjusting the weight of the neural network according to the balance value to realize baking condition prediction, constructing a quality traceability system, distributing a unique traceability code, establishing a timestamp proof mechanism to verify data integrity, and providing a standardized interface to realize whole-course quality traceability.

We provide the system. [Solution] A means for collecting and managing past proposals and specifications in a database, A means for the user to input the task details and receive the task details, A method for analyzing received tasks using natural language processing technology and extracting keywords, A means of searching for past cases and solutions in the database based on extracted keywords, A means of generating and displaying recommended solutions to the user based on the searched cases, A means of receiving user feedback and updating the database, A system that includes this.

A system is provided.SOLUTION: Means for recording video and audio data of a face-to-face contact, means for transmitting the recorded video and audio data to a server, means for performing noise removal and text conversion on the transmitted video and audio data, means for analyzing wording and conversation content using a natural language processing technique on text data, means for analyzing a manner of speaking and a tone of voice from the audio data, means for analyzing facial expression and body language from the video data, and means for digitizing each analyzed feature, A system comprising: means for scoring; means for training a learning model using interview data of existing employees; means for evaluating new interview data using the learning model; and means for displaying evaluation results and providing feedback to a user.SELECTED DRAWING: Figure 1

The subject technology receives image data including a representation of a physical item. The subject technology analyzes the image data to determine an object corresponding to the physical item. The subject technology extracts product metadata based on the determined object. The subject technology sends, to a server, the product metadata to determine second product metadata associated with the product metadata. The subject technology receives, from the server, the second product metadata, the second product metadata including additional information related to the physical item. The subject technology causes display, at a client device, the additional information related to the physical item based at least in part on the second product metadata.

The present invention relates to a system (1) for providing a suggestion, during a call, for a new user to join the call from the contacts by analyzing the call in which two or more users are participating by means of artificial intelligence technology.

We provide the system. [Solution] A means of supporting education using machine learning that enables two-way dialogue using a first language and a second language, A means for creating individual learning plans based on the user's native language and target language, A means of providing users with simulated dialogue using a virtual reality environment, A means of collecting and analyzing user learning progress information and providing real-time feedback, A means of displaying subtitles through the user interface to make the dialogue easier to understand, A means of using a robotic device that supports language learning through dialogue in daily life within a home environment, A system that includes means for analyzing a user's question using speech recognition and natural language processing technologies and generating appropriate linguistic expressions.

The present application relates to the technical field of hotspot technology evaluation, and particularly relates to a hotspot technology evaluation method, device and equipment based on generative artificial intelligence, which responds to a hotspot technology keyword, queries technical literature corresponding to the hotspot technology keyword and metric data corresponding to the technical literature through a target search engine; analyzes an importance centrality index of the hotspot technology keyword compared to the technical literature through a preset importance evaluation model; calculates hotness data of the technical literature according to the importance centrality index and the metric data; generates a hotspot technology hotness data change curve based on the hotness data; performs hotspot technology prediction evaluation based on the hotspot technology hotness data change curve, and generates a hotspot technology evaluation report, which analyzes a hotspot technology keyword input by a user through a generative artificial intelligence model, and provides efficient hotspot technology analysis results.

We provide the system. [Solution] A data collection method for collecting customer interaction history, A data analysis means that analyzes the aforementioned dialogue history using natural language processing technology to extract customer interests and needs, A proposal generation means that generates personalized follow-up proposals based on the extracted customer interests and needs, A notification means for notifying the terminal of the generated follow-up proposal, A follow-up execution means that executes a follow-up proposal using the aforementioned terminal and records the results, A system including a learning means to improve the proposal generation means using the execution results.

A system is provided.SOLUTION: A system comprising: means for inputting a policy document; means for analyzing the input policy document using natural language processing techniques to extract key points; means for summarizing the extracted key points; means for selecting specific portions based on user interest and providing a detailed description; means for detecting changes in the policy document and updating the summary and description; and means for allowing a user to ask and answer questions through an interactive interface.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for collecting information on a security attack technique from a reliable information source; means for analyzing the collected information using a natural language processing technique and extracting a feature of the attack technique; means for automatically generating a security test program based on the extracted feature; means for executing the generated security test program on a target system and evaluating vulnerability; and means for notifying an administrator of an evaluation result.SELECTED DRAWING: Figure 1