17results about How to "Personalize" patented technology

The invention discloses a dynamic sterilization method based on cough audio detection and analysis, which comprises the following steps: acquiring hospital audio, dividing the hospital audio into audio segments, identifying audio frames containing cough audio, and merging the audio frames containing the cough audio to obtain cough audio segments; overlapping coughs are separated, and samples of all the single-sound coughs are obtained and correspond to the individuals to which the single-sound coughs belong; judging whether the individual coughs accidentally or not on the basis of the quantity and the time interval of the single-sound coughs, and further judging whether a hospital environment sterilization early warning program needs to be started or not; and for each environment index of the hospital, presetting a corresponding disinfection trigger threshold, and if it is judged that the hospital environment disinfection early warning program needs to be started and the hospital environment index reaches the corresponding disinfection trigger threshold, starting a corresponding disinfection program to complete disinfection of the hospital environment. According to the invention, 'on-demand disinfection 'can be realized accurately and dynamically in real time, and interference to normal medical activities is reduced to the greatest extent while the transmission path of aerosol in a hospital is blocked.

This invention relates to an intelligent decision support system for rectal cancer prognosis integrating digital pathological images, belonging to the field of medical image processing technology. The system includes a data acquisition module for collecting multiple sets of sample data; a feature selection module for identifying multiple key medical imaging features of rectal cancer based on the multiple sets of sample data; a model building module for acquiring a pre-trained deep learning model and constructing a rectal cancer prognosis prediction model based on transfer learning, the pre-trained deep learning model, the multiple sets of sample data, and the multiple key medical imaging features of rectal cancer; an image acquisition module for acquiring pre- and post-operative medical images of the rectal cancer patient to be evaluated; and a recurrence prediction module for predicting the recurrence probability of the rectal cancer patient to be evaluated based on the pre- and post-operative medical images of the patient using the rectal cancer prognosis prediction model. This system has the advantage of improving the accuracy of non-invasive prediction of postoperative recurrence of rectal cancer.

The application relates to the technical field of large models, and provides a prompt vector generation method, device, equipment and medium, which extracts and embeds the multi-modal information of a target user, generates a personalized query vector carrying the personalized features of the target user, and fuses relevant information of the personalized query vector and a pre-constructed industry knowledge prompt library to generate a target prompt vector of the target user. The target prompt vector is determined in combination with the personalized features of the target user and global user common features, and the personalized and customized processing of the prompt vector is realized. The application can be applied to a financial scene, and when a downstream task such as insurance recommendation generates a personalized execution result for a user according to the target prompt vector, the personalized features of the target user and the global user common features can be simultaneously referred to, the target user's personalization is considered, and the rules or trends gradually presented in the insurance business scene are not deviated from, so that the execution effect of the downstream task is improved.

The application provides a new energy mine truck thrust rod fatigue life prediction method, belonging to the field of federated learning and application technology. First, a multi-mine area multi-source fatigue feature dataset is constructed. Then, a double-layer neural network structure based on Bayesian modeling is designed, including a sparse prior generation module, a thrust rod time series feature encoding module and a thrust rod residual life Bayesian prediction module, to realize model parameter sparsification, time series feature expression and uncertainty quantification. Further, a graph structure based federated training and information aggregation mechanism is adopted, combined with global aggregation and local graph modeling strategy, to realize knowledge sharing and personalized adaptation between different mine areas. Finally, an online fine-tuning mechanism based on uncertainty driving is proposed, realizing rapid adaptive optimization of the global model in the new mine area environment through Bayesian inference. The method can significantly improve the accuracy, robustness and cross-domain generalization ability of thrust rod life prediction while ensuring data privacy.

The application discloses a kind of automated filling and checking method, system, product and medium of insurance information, and it is related to artificial intelligence field.The method comprises the following steps: in response to batch insurance instruction, the insured identity information is received and managed, and the independent data object is constructed to form the insured information set;Age is calculated by traversing the set and analyzing birth date;Age is used as a matching factor, matched with an insurance product rule base, to determine the applicable product plan range and premium calculation factor;Generate and bind a differentiated rule set for each data object;Based on context and differentiated rule set, generate an aggregated interactive interface;Receive input information in the exclusive problem area, and check according to the differentiated rule set;All input information that passes the check is summarized to generate an aggregated insurance order.Implementation of the technical solution provided in the application improves the efficiency of automated processing in the batch insurance scenario.

The present application relates to the field of intelligent medical auxiliary decision-making technology, and discloses a ladder treatment scheme recommendation method based on asthma control level and drug response phenotype. The present application aims to solve the problem that the existing scheme cannot identify the deep reason of uncontrolled condition, leading to blind step-up treatment. The present application excludes non-compliance interference by checking the drug execution rate, and improves the authenticity of condition assessment. The present application uses environmental exposure characteristics to adaptively correct the exhaled nitric oxide determination threshold, and eliminates the deviation of smoking on inflammation recognition. The present application combines the logic tree voting of multi-dimensional biological indicators to lock the drug response phenotype. Finally, based on the double index of condition state and phenotype, the present application locates the upgrade or transformation treatment path and generates a recommended scheme. The present application realizes the precise typing and differentiated drug administration of asthma treatment, effectively reduces the drug exposure risk of hormone-insensitive patients while ensuring the clinical efficacy.

The application discloses a kind of personalized intelligent recipe recommendation system based on user health information, comprising: user information management module, for obtaining and managing the health information of user;Energy calculation module, for calculating ideal body weight, body type classification, basal energy requirement, blood sugar adjusted energy requirement and meal nutrient target according to user information;Food database, for storing the nutrient composition and type attribute of food;Recipe generation module, for selecting food combination from food database according to meal type and nutrient target, and generating personalized recipe using multi-nutrient synergistic optimization intelligent algorithm.The present application is based on the principle of nutrition, on the basis of personalized health management, increase the precise energy calculation function based on ideal body weight and body type classification, realize precision and individualization in energy calculation, nutrient optimization, food selection and other multiple links.

This invention relates to the field of intelligent cockpit and vehicle thermal management technology, specifically to a multi-sensor fusion in-vehicle adaptive temperature control method and system. The method includes: synchronously acquiring multi-source heterogeneous signals within the vehicle; preprocessing them through filtering and format standardization; using Kalman filtering to perform time synchronization and state estimation, generating a fused feature vector; identifying the current operating condition label, calculating the predicted average voting value, and outputting the target predicted average voting value; calculating the basic control quantity through a feedback controller and the disturbance compensation control quantity through a feedforward controller, and adding them to obtain the total control quantity; decomposing the total control quantity into compressor speed commands, fan airflow commands, damper position commands, and expansion valve opening commands, driving actuator actions, and outputting the temperature control execution result. This invention solves the problems of air conditioning control lag, large temperature fluctuations, and unintelligent mode switching, achieving high-precision temperature control and seamless adaptive adjustment, significantly improving driving and passenger thermal comfort.

This invention provides an interactive sports training assessment method and system, belonging to the field of sports training assessment technology. The method involves: distributing an assessment item set in a virtual training assessment scenario; sorting the items according to the trainee's exercise habits and psychological state for each assessment item; sequentially displaying the items and capturing training behavior posture sets; globally comparing these with a standard posture set to construct joint point abnormal posture vectors; and combining joint point behavior trajectories with standard trajectories to construct point abnormal vectors; combining and analyzing these results to obtain single-item assessment results; and finally, processing all results and sending them to the assessment terminal. This invention achieves standardized quantification of assessments, improves the objectivity and accuracy of assessments, and provides a scientific reference for sports training.

This invention relates to the fields of high-altitude medicine and environmental ergonomics, specifically to a high-altitude arched pillow-type locally oxygen-enriched sleep chamber. It includes a smart pillow unit, which comprises a pillow body. The pillow body integrates a gas diffuser and a sensing unit for monitoring the user's physiological and postural signals. The gas diffuser's supply end is connected to an environmental control unit, which generates and adjusts the composition and physical parameters of the oxygen-enriched gas. Both the sensing unit and the environmental control unit are signal-connected to a control unit. The control unit can adaptively control the operation of the environmental control unit based on the monitoring signals from the sensing unit. A chamber cover unit is connected to the side of the pillow body. The chamber cover unit and the pillow body together form a locally oxygen-enriched microenvironment space covering the user's head. The oxygen-enriched airflow released by the gas diffuser can directly enter this locally oxygen-enriched microenvironment space.

This invention discloses an adjustable fundus fixation training visual tracking system suitable for different patients, belonging to the field of medical device technology. The system includes: a patient parameter acquisition module, an adaptive control center, a multimodal stimulus presentation module, an eye-tracking and quantitative assessment module, and an immersive interactive feedback module. This invention aims to solve the problems of fixed training parameters, lack of personalized adaptation, and inability to provide real-time quantitative feedback. By acquiring the patient's interpupillary distance, visual acuity, and tolerance parameters and mapping them to personalized training control parameters, it dynamically generates and adjusts visual stimuli. Simultaneously, it tracks and quantifies eye-tracking performance in real time, transforming the quantification results into multisensory interactive feedback. This achieves adaptive matching between training difficulty and patient ability, improving the personalization, accuracy, and patient compliance of the training.

This disclosure provides an interactive control method, electronic device, and computer program product for digital modeling of historical buildings. The interactive control method for digital modeling of historical buildings includes: acquiring point cloud data and images of the historical building to establish a 3D visualization model; identifying components of the historical building from the 3D visualization model using a deep learning algorithm based on the geometric and texture information of the 3D visualization model; matching the components with template components in the HBIM template library; obtaining the component's attribute information from the archive database and binding it to the component based on the matched template component to obtain a digital model of the historical building; structuring and organizing the story clues in the component's attribute information to establish knowledge graph nodes for the component; and responding to the user's first interactive command to click on a target component in the digital model of the historical building, generating personalized explanatory information by calling a large language model based on the user profile and the target component's knowledge graph nodes.

The utility model discloses a folding rotating shaft applied to a mobile terminal, and relates to the technical field of folding rotating shafts of mobile terminals, the folding rotating shaft comprises a bottom plate, the two sides of the top end of the bottom plate are fixedly connected with fixing blocks, and one side of each fixing block is fixedly connected with a motor assembly; through the arrangement of the motor assembly, when a worker operates the device for use, the use problem caused by nonstandard manual folding can be reduced, the stability and the reliability of equipment are greatly improved, misoperation possibly caused by manual folding is avoided, and the risk of damage to the equipment due to wrong folding is reduced; through the arrangement of the fixing assembly, when a person operates the device to use the device, a user can conveniently replace rotating shafts of different types according to personal requirements, and individuation is achieved; when the rotating shaft breaks down, the rotating shaft can be rapidly disassembled and maintained, and time and cost are saved; and thirdly, technology updating and upgrading of the equipment are facilitated, and market changes are adapted.

This invention discloses a multi-scenario smart elderly care service matching and media push system and method, belonging to the field of elderly care service management technology. It includes: a file management unit, a demand analysis unit, a service generation unit, a service control unit, and an industry-end empowerment unit. The file management unit is used to construct and dynamically update the user's full-dimensional data file; the demand analysis unit is used to complete the multi-dimensional tagging modeling and scenario-based precise service demand of users; the service generation unit is used to generate customized elderly-friendly service solutions corresponding to the target scenario; the service control unit is used to track and control the implementation of the customized elderly-friendly service solutions throughout the entire process, realizing the dynamic iterative update of the full-dimensional data file; and the industry-end empowerment unit is used to provide digital, multi-media push operation services.

The application discloses a kind of vehicle door control method and system, it is related to automobile intelligent control technical field, comprising: in response to the calibration instruction of user, enter vehicle door action calibration mode;Through vehicle camera, the action video data of user is collected in the door opening or closing of car outside or in car;The action video data collected is extracted to feature, at least one action feature is generated, and the action feature is stored in the action database of controller.The individualization and high sensitivity of vehicle door control are realized by providing user self-defined action calibration and supplementary recording function, the problem of single action and not sensitive identification of traditional control mode is solved.

The utility model discloses a DLP module and DLP projection headlamp, a kind of DLP module, comprising: control panel;Heat dissipation component, including at least two heat dissipation components, install in the control panel back;Lens assembly, install in the control panel front, by adjusting structure and the control panel are connected to realize the distance adjustable of lens assembly and the control panel. The adjusting structure includes: the sliding slot of being opened in lens base, the mounting hole of being opened in lens support, fastener moves in the sliding slot through the mounting hole, fastener is locked and is limited. The sliding slot is partly spiral, to make lens assembly rotationally adjust the distance between lens assembly and control panel. Compared with prior art, the utility model has the advantages that the utility model is simple in structure, has stronger heat dissipation effect, and realizes individualization setting by adjusting light screw rod.

This invention discloses a method and system for pressure ulcer risk assessment and automatic body positioning adjustment on an intelligent nursing bed, relating to the field of intelligent medical and nursing equipment technology. The method includes: collecting surface contact pressure distribution data and microenvironmental temperature and humidity data of the pressure interface from a bedridden patient; mapping the surface contact pressure distribution data to a pressure topology map; calculating the local skin tolerance attenuation coefficient; weighting and correcting the pressure topology map to generate a multidimensional coupled risk distribution matrix; identifying risk extreme value regions in the multidimensional coupled risk distribution matrix; obtaining their cumulative risk values ​​and comparing them with dynamic intervention thresholds to determine the corresponding target airbag group; and generating asymmetric wave-like charging and discharging control commands based on the distribution pattern of the risk extreme value regions to adjust the local geometric contour of the intelligent nursing bed's support surface. This invention enables refined assessment of pressure ulcer risk and risk-driven body positioning adjustment.