50results about How to "Realize personalized management" patented technology

The invention relates to a file backup method based on fingerprints, belonging to the technical field of storage backup in a computer. The invention is amied at reducing the backup of duplicated data, saving the cost of network bandwidth and storage needed by backup, and improving the backup efficiency. The invention comprises a backup process and a recovery procedure. The invention adopts the file blocking technology based on an anchorage to identify the redundant data of the backup file, the modification is stable, and the computation cost is low; data blocking of the file is memorized in a blocking volume in a storage server by using the fingerprints thereof as an identifier, thereby avoiding the backup of the duplicated data, and facilitating the data blocking to be shared by different files; file metadata and file blocking index are memorized in a storage volume in the storage server, thereby facilitating a user to organize a storage pool, and realizing the personalized management to logical objects.

The invention discloses an energy optimization method of household micro-grid based on Q-learning. Load of air-conditioners is taken as the research key, other controllable loads and energy storage equipment in the household micro-grid are combined, and the method aims at balancing the power utilization cost and the user comfortableness. According to the thermal capacity and thermal resistance of a room and the different models of the air conditioner and on the basis of a thermodynamic model, obtained adaptively in the present stage by utilizing a genetic algorithm, of a present scene, the set temperature of the air-conditioner can be corrected adaptively in a day via Q-learning according to dynamic change of the present scene environment in the application process, and the accuracy of energy management is further improved. Willing of a user is taken into full consideration, the user can select a corresponding energy management mode according to requirements, and customized management of the household micro-grid is realized. The method can be used to improve the scheduling accuracy and practicality of the household micro-grid, and facilitates popular application of energy management of the household micro-grid.

The invention relates to a safety JTAG module and a method for protecting security of information inside a chip, wherein the safety JTAG module comprises a nonvolatile medium (206), a loading circuit (205), a security attribute control register (214), a TAP controller (201), two selectors (207 and 211), a switch (203), a password authentication module and a logic processing module; the TAP controller (201) and the two selectors (207 and 211) are connected between a JTAG port (1) and a protected object inside the chip; the switch (203) is switched by the control of a timer (202); the password authentication module is used for authenticating whether a clear-text password input by a user is accordant with a fuzzification password or not; and the logic processing module is used for logically processing an authentication result output by the password authentication module and an indication signal output by the security attribute control register (214) and outputting an enable signal to the two selectors (207 and 211) so as to control whether the JTAG port (1) is allowed to be connected with the protected object inside the chip through the TAP controller (201) or not. The invention ensures the security and the convenience of an SOC chip in testing and debugging processes, thereby protecting the security of data inside the chip.

The invention provides an outpatient service information management system. The outpatient service information management system comprises an outpatient service clinical information database for storing the personal health information of a patient, a pre-hospitalization health information questionnaire analysis module for providing a pre-treatment health information questionnaire for the patient, an in-hospital diagnosis and treatment management module for managing pre-treatment suggestions generated according to the pre-hospitalization health information questionnaire analysis module by the patient, all diagnosis and treatment information generated in a hospital treatment process, and a treatment scheme, a post-hospitalization health management module for providing subsequent health management suggestions for the patient according to patient diagnosis and treatment information managed in the in-hospital diagnosis and treatment management module and the treatment scheme, and performing monitoring, and a system external interface integrating module for realizing data interaction between an outpatient service management system and other external systems. Through adoption of the outpatient service information management system, the outpatient service queuing time of the patient in a hospital can be effectively shortened, the outpatient service working efficiency is increased, communication channels and communication time between the patient and a doctor are increased and prolonged, and the doctor-patient relationship is improved.

The invention relates to a two-way active speed limiting and overspeed early warning system based on the internet of vehicles. The two-way active speed limiting and overspeed early warning system comprises a host, a remote controller, a monitoring center upper computer system and the mobile internet. A default speed limit value is set through the system, and a driver can actively limit the speed within a prescribed limit through the remote controller according to actual situations; the upper computer system can actively limit the speed or the preset speed limit within the prescribed limit according to supervision requirements or special-line sections through remote instructions and has the priority, namely, the driver can only limit the speed to be lower than a speed limit value set by the upper computer system and the speed and can not cancel speed limiting. When the speed is out of the speed limit set by the driver, voice warning is automatically triggered by the host; if the speed is out of the speed limit set by the upper computer system, the host gives an alarm and uploads overspeed information, and the overspeed information is recorded in the upper computer system. The driver can press any button to cancel speed limiting, and the upper computer system sends speed limiting canceling instructions to the host to cancel speed limiting. The system can ensure that the user actively sets speed limits and cancels speed limiting according to actual requirements, is more humanized and facilitates safety.

The invention provides a software management method of a mobile terminal. The method comprises the following steps of recording a software display rule according to a user setting instruction, calling the software display rule corresponding to a software icon when the software icon of the mobile terminal is displayed, and displaying the software icon according to the software display rule. The invention further provides the mobile terminal used for software management. According to the method and the mobile terminal, individuation management can be performed on application software of the mobile terminal; a management demand of a user for different application software can be met; and leakage of privacy information is avoided.

The invention provides a group event management method and device. The method comprises the following steps: producing an event window containing a group message and a response control, wherein the group message contains an identity label corresponding to a preset user label, and sending the event window; acquiring an identity identifier corresponding to the user based on a click instruction executed on the response control by a user matched with the identity label in the group message based on the preset user label; and generating a group event according to the group message and the identityidentifier of the user. Through the group event management method and device provided by the invention, the individual group event can be self-defined through an administrator server; and the individual management on the group event can be realized through the interaction between the administrator server and the user terminal, and the group chat function is enriched.

The present disclosure provides an employee performance prediction method and device based on machine learning, an electronic device, and a computer-readable storage medium, belonging to the field ofartificial intelligence technology. The method comprises the following steps: obtaining the business log of the employee to be predicted, and counting the initial characteristic data of the employee to be predicted; Processing the initial feature data by a decision tree model to obtain combined feature data; the combined characteristic data is processed by a linear regression model to obtain a performance prediction value of the employee to be predicted. The present disclosure provides a method of predicting employee performance, and the predicted results may reflect associations between features with high accuracy.

The invention provides an NBIOT / 5G signal channel collar instrument for livestock in a pasturing area. The collar instrument comprises a collar instrument unit, a weight monitoring unit, a grassland information unit, NB-IOT communication modules, a 5G communication module, a server, a control mainframe and a management and control platform. The collar instrument is characterized in that the collarinstrument unit and the weight monitoring unit are provided with the NB-IOT communication modules, the grassland information unit is provided with the 5G communication module, and the collar instrument unit, the weight monitoring unit and the grassland information unit communicate with the management and control platform. A collar instrument body is embedded into the inner side of an elastic collar, a collar controller is installed in the collar instrument body, and the collar controller communicates with the serer through the NB-IOT communication modules. A pedometer, an information input module and a GPS or Beidou positioning module in the collar controller are connected to the input end of the collar controller, the NB-IOT communication modules are connected to the output end of the collar controller, a lithium battery is in circuit connection with the collar controller, and an LED lamp is in circuit connection with the collar controller.

The invention provides an information push control method and system, and belongs to the field of information push. According to the technical scheme, a global server acquires successful trade factors of specific commodities of merchants and profit factors and time factors of the specific commodities of the merchants from an information source server, the matching degree of the specific commodities of the merchants is acquired according to the acquired successful trade factors of the specific commodities of the merchants, the profit factors and the time factors of the specific commodities of the merchants and preset strategies, the global server sends the acquired matching degree of the specific commodities of the merchants to an information push server, and the information push server acquires corresponding information push control strategies according to the matching degree of the specific commodities of the merchants through an information classification table, and carries out information push to a target client. Individuation management over the merchants and stores is achieved, and the information push control method and system is beneficial to the growth of potential high quality stores.

The invention discloses an electrocardiogram data real-time analysis and diagnosis early-warning cloud system. The electrocardiogram data real-time analysis and diagnosis early-warning cloud system comprises an electrocardiogram data collecting terminal, an external device, a web-based user interactive interface, a back-end core server group, and an electrocardiogram diagnosis algorithm. The electrocardiogram data collecting terminal mainly comprises three devices of a Holter, a wireless electrocardiogram patch and an electrocardiogram bracelet and is used for collecting physiological parameters of the human body; the external device is connected with the electrocardiogram data collecting terminal, and receives electrocardiogram data and then transmits the electrocardiogram data to the back-end core server group; the web-based user interactive interface is composed of three parts of a patient end, a doctor end and an administrator end, sends an operation request to the back-end core server group and receives and displays response data; the back-end core server group is composed of a plurality of functional processing servers and used for receiving, forwarding and persistent storageof the electrocardiogram data; and the electrocardiogram diagnosis algorithm mainly comprises a deep learning algorithm, a wavelet analysis algorithm and a morphological analysis algorithm, and is used for diagnosis of the electrocardiogram data.

The invention relates to a distributed light storage energy control method, and the method comprises the steps: firstly collecting effective illumination data of all photovoltaic modules, constructing an illumination data set through combining historical data, collecting environment data, and associating the environment data with the illumination data, thereby forming an environment influence data set; through a machine self-learning algorithm, an environment influence data set is analyzed, an environment influence factor is generated, the conversion efficiency of a photovoltaic module is predicted, energy conversion data of an inverter and historical input data of an energy storage device are collected, a light energy conversion data set is constructed, a conversion efficiency factor is generated, and the photovoltaic module is analyzed by utilizing the predicted environment data and the environment influence factor. According to the method, effective illumination data is predicted, expected energy storage data is calculated, whether the expected energy storage data meets the power demand or not is judged according to the power demand data, and a power supply distribution strategy is generated, so that the distributed light storage energy system is regulated and controlled, and the energy effective utilization rate of the distributed light storage energy is improved.

The invention provides an information control method and system, and belongs to the field of information push. According to the technical scheme, a global server acquires successful trade factors of specific commodities of merchants and profit factors and time factors of the specific commodities of the merchants from an information source server, the global server acquires the matching degree of the specific commodities of the merchants according to the acquired successful trade factors of the specific commodities of the merchants, the profit factors and the time factors of the specific commodities of the merchants and preset strategies, and corresponding information push control strategies are acquired according to the matching degree of the specific commodities of the merchants through an information classification table, information push is carried out to a target client, individuation management over the merchants and stores is achieved, and the information control method and system is beneficial to the growth of potential high quality stores.

The invention discloses an intelligent environment regulation and control biological cabin which comprises a cabin body, a plurality of culture areas arranged in the cabin body and an air conditioning system internally provided with expert programs. The plurality of culture areas are mutually independent; and the air conditioning system is used for adjusting air circulation and air conditions between the cabin body and the plurality of culture areas. According to the environment intelligent regulation and control biological cabin provided by the invention, the biological cabin is divided into a plurality of independent culture areas, and the air condition in each culture area is intelligently regulated and controlled by combining an air conditioning system and monitoring the air condition and the growth state of plants in real time, so that valuable and rare medicinal materials such as cordyceps sinensis are intelligently cultivated. Compared with dynamic monitoring and adjustment in the prior art, the method has the advantages that plants with different growth states and requirements in the same biological cabin can be managed in a personalized manner, and the problem that optimal growth environment control cannot be provided for the plants due to advanced change or no change of air conditions in the cabin due to growth mutation of a few plants is avoided.

The invention provides a database management method and device. The database management method comprises the following steps that: obtaining request information that user applies to check different categories of data; according to the request information, obtaining a corresponding source data table from a resource pool; and according to the request information and the source data table, establishing a corresponding sub-database to enable a user to check the data through the sub-database. Through the method, the sub-database which aims at the user can be established, so that the resource pool can be opened for public conditionally, and in addition, required data is provided for each user so as to realize the individual management of the database.

The invention relates to the technical field of adjuvant therapy monitoring, in particular to an anorectal disease adjuvant therapy monitoring system and method based on a radix scrophulariae extract. The method comprises two stages of system initialization and adjuvant therapy monitoring, in the initialization stage, initialization setting is completed, and a dynamic monitoring code is generated to guarantee data transmission security; in the auxiliary treatment stage, baseline data are collected, abnormal values are removed, then personalized baselines are generated, the drug dosage and the release rate are adjusted according to the baseline data, meanwhile, pressure, temperature, blood flow and electrophysiological data are monitored in real time, key indexes are calculated, monitoring labels are generated, the physiological indexes are standardized, the treatment effect is comprehensively evaluated, and classification is conducted. The dynamic trend is analyzed by adopting a polynomial fitting method, an evaluation result is generated, the drug release rate and dosage are dynamically optimized in combination with real-time monitoring data and patient feedback, and fine treatment is further performed by adopting a feedback adjustment mechanism. According to the invention, efficient auxiliary treatment and intelligent monitoring of anorectal diseases are realized.

The invention provides a shopping cart management method and system for electronic commerce, and the method comprises the steps that a terminal obtains the identity of a user, and determines the weight data according to the identity; the terminal obtains multiple pieces of commodity information in the shopping cart of the user, feature extraction is conducted on the multiple pieces of commodity information to obtain multiple feature vectors corresponding to multiple commodities, and each commodity corresponds to one feature vector; and the terminal calculates the plurality of feature vectors and the weight data one by one to obtain a plurality of calculation results, and deletes n commodities corresponding to n calculation results smaller than a threshold value in the plurality of calculation results from the user shopping cart. The technical scheme of the invention has the advantage of improving the user experience.

The invention discloses an intelligent doctor seeing method, system and device for AI virtual person accompanying diagnosis and a medium. The method comprises the steps that an intelligent hospital guide demand instruction is received, a virtual consulting room is constructed, and an AI virtual person is generated; after it is judged that the user enters the virtual consulting room, user input information is obtained in real time; determining a user object type and a user hospital guide application scene according to the user input information; the abnormal emotion of the user is recognized, and a preset emotion pacifying strategy is matched, so that the AI virtual human interacts with the user according to the matched emotion pacifying strategy; according to the real-time interaction information of the user and the historical intelligent hospital guide information of the user, matching a preset deep learning model in combination with a hospital guide application scene of the user, and outputting AI virtual human interaction reaction information and a preliminary diagnosis result; and determining a registration department according to the preliminary diagnosis result, generating registration appointment recommendation and completing registration appointment. According to the invention, the user experience in the intelligent treatment process of AI virtual human accompanying diagnosis can be improved.

The invention relates to a virtual power plant optimization scheduling method and system. The method comprises the following steps: establishing an operation model of a multi-type adjustable resource main body; constructing a master-slave game model of the aggregator and the resource main body, wherein the master-slave game model comprises an upper-layer model taking the aggregator as a leader and a lower-layer model taking the resource main body as a follower; solving a master-slave game model of the aggregator and the resource main body to obtain an optimal compensation price strategy and an optimal response power strategy, and constructing an optimal power scheduling plan according to the optimal response power strategy; the optimal power scheduling plan is used for being issued to each adjustable resource main body for execution so as to realize optimal scheduling of the virtual power plant. According to the method, the participation enthusiasm of the resource main body can be stimulated, the user participation degree can be improved, the scheduling instruction execution rate can be improved, the model accuracy can be improved, the cooperative capability of heterogeneous resources can be improved, and the overall operation economy and stability of the virtual power plant can be improved.

The invention discloses a container terminal storage yard management and control digital twinborn simulation method and system and a storage medium. The method comprises the steps of obtaining production data, related to storage yard management and control, of a current container terminal, and generating an initial state of a digital twin platform; according to the historical operation rule of the container wharf, container entry random event probability distribution is set in the digital twin platform; simulating an approach container position selection process based on a digital twin platform, and simulating a random event according to the set probability distribution; and selecting positions of entering containers through the container wharf storage yard management and control gravitational field model. According to the method, the defect that a container terminal storage yard management and control digital twinborn system is lack of future storage yard operation state mapping can be overcome through random event generation in cooperation with a storage yard management and control gravitational field model.

The invention provides a method for the batch setting of the head portraits of contacts. The method is applied to electronic equipment. The method comprises the steps of upon detecting an instruction for triggering the head portrait setting operation of contacts, displaying a head portrait library; and setting one or more head portraits in the head portrait library and selected by a user to be the head portraits of contacts in the batch manner. In addition, the invention provides a system for the batch setting of the head portraits of contacts. According to the technical scheme of the invention, the head portraits of contacts can be set in the batch manner. Therefore, the setting efficiency for the head portraits of contacts is increased, and the user experience is improved.

The present invention relates to the field of medical health and information technology, and specifically to a children's oral health management system based on big data, including: a data acquisition module, a data processing module, a data prediction module and a control module, wherein the data acquisition module includes an acquisition component and a collection device; when the predicted oral health condition is that the teeth cleanliness is not up to standard, the control module determines whether the vibration frequency matches according to the existing vibration frequency data of the electric toothbrush in the data acquisition module; when the predicted oral health condition is that the gums are red and swollen, the control module sends an instruction to the user's wearable health monitoring device to increase the number of oral cleaning times; when the predicted oral health condition is that bleeding occurs, the control module determines whether the cause of bleeding is caused by the electric toothbrush in the data acquisition module. The present invention is used to establish an accurate prediction model by integrating big data and artificial intelligence, so as to achieve comprehensive, accurate and personalized management of children's oral health.

The invention relates to a file backup method based on fingerprints, belonging to the technical field of storage backup in a computer. The invention is amied at reducing the backup of duplicated data, saving the cost of network bandwidth and storage needed by backup, and improving the backup efficiency. The invention comprises a backup process and a recovery procedure. The invention adopts the file blocking technology based on an anchorage to identify the redundant data of the backup file, the modification is stable, and the computation cost is low; data blocking of the file is memorized in ablocking volume in a storage server by using the fingerprints thereof as an identifier, thereby avoiding the backup of the duplicated data, and facilitating the data blocking to be shared by different files; file metadata and file blocking index are memorized in a storage volume in the storage server, thereby facilitating a user to organize a storage pool, and realizing the personalized management to logical objects.

The invention provides a hemangioblastoma patient typing management system. The hemangioblastoma patient typing management system includes a hemangioblastoma typing diagnostic kit, and a patient datamanagement device, wherein the hemangioblastoma typing diagnostic kit includes a genomic imprinting subtype hemangioblastoma diagnostic reagent, a hemangioblastoma recurrence tracking diagnostic reagent and a gene mutation subtype hemangioblastoma diagnostic reagent, for detecting blood or tissue samples of a patient so as to obtain a detection result; and the patient data management device is provided with a patient information storage unit, a management-side screen storage unit, a criterion storage unit, a management measure storage unit, a management-side input display unit, a data analysisunit, a management guide generation unit, and a management-side control unit.

The present invention discloses a marketing data analysis and processing method and system based on big data. The marketing data analysis and processing method based on big data includes: counting the basic marketing information corresponding to the designated enterprise; setting the marketing monitoring information according to the basic marketing information corresponding to the designated enterprise; extracting the marketing data corresponding to the designated enterprise in each monitoring period in each marketing channel from the background of each marketing channel; and analyzing it, thereby confirming the marketing type corresponding to each marketing channel, and providing feedback; the present invention effectively solves the problem that the current technology does not analyze the marketing situation of different marketing channels, provides reliable decision-making suggestions for the subsequent selection of marketing channels by enterprises, promotes the management efficiency of enterprises for each marketing channel, and at the same time provides a clear direction for the rectification of the subsequent marketing strategy of the enterprise, avoiding the one-sidedness of the current single analysis dimension.

The invention discloses a management method and device of an intelligent terminal. The invention relates to the technical field of financial science and technology, and the method comprises the steps: obtaining the real-time operation data of each financial service point according to a preset time interval, and the real-time operation data comprises equipment operation parameters, business operation parameters and scene description information when a financial business is handled through an intelligent terminal of each financial service point; the real-time operation data is input into a pre-created target management model, prediction management parameters are obtained, and the prediction management parameters comprise a prediction equipment operation index and a prediction resource consumption index; and performing differentiation management on the intelligent terminals distributed at the financial service points based on the prediction management parameters. Through application of the method and the device, the problem of relatively poor flexibility in the management process of the intelligent terminals of different network points in the related technology is solved.

The invention discloses a method for simulating remote startup and shutdown of a cross-network-segment electronic class board, which comprises simulation of remote shutdown and simulation of remote startup; the simulation of remote shutdown comprises the following steps: receiving a shutdown request sent by a server side, and turning off the screen of the electronic class board; the simulation ofremote startup comprises the following steps: receiving a startup request sent by a server side, and restarting the electronic class board and turning on the screen. According to the method, the problem that remote startup and shutdown of the electronic class cards cannot be achieved through awakening of the network cards in a cross-network segment or a public network is solved, meanwhile, personalized management and unified management of the electronic class cards are achieved, and the requirements of actual teaching application are met.

The present invention relates to the field of network information transmission technology, and in particular to a method and system for intelligent control of secure network information based on big data. The method comprises the following steps: obtaining network information access data and network access address data; transmitting the network information access data to a network information control cloud for access information feature recognition to generate access information feature data; performing device identification based on the access information feature data to generate a network information access device; performing suspicious address detection on the network access address data to generate a normal network access address and a suspicious network access address; performing abnormal address behavior analysis on the suspicious network access address to generate abnormal network access address data and perform address imprisonment; and obtaining access device environment data. The present invention improves control efficiency and security through big data analysis, intelligent control, network security detection, device environment monitoring, and control delay optimization.