95 results about "Intelligent database" patented technology

An intelligent database infrastructure wherein the management of all database components is performed by and within the database itself by integrating management of various components with a central management control. Each individual database component, as well as the central management control, is self-managing. A central management control module integrates and interacts with the various database components. The database is configured to automatically tune to varying workloads and configurations, correct or alert about bad conditions, and advise on ways to improve overall system performance.

A computerized process of intelligently inventorying data and managing assets includes the steps of initially inventorying a plurality of hardware, software, and data files on-site by assigning a hexadecimal signature identifying each file in the database, inventorying the files at a subsequent time by repeating the prior step and comparing the previous and current signatures of the files to determine whether any of the files have been changed, comparing the current version of a changed file to the last previous on-site version of the changed file, computing the differences between the two versions by different forward and reverse algorithms to provide a forward delta and a reverse delta, storing the current version and the reverse delta of the changed file on-site while deleting the last previous on-site version of the changed file, permanently storing off-site the forward deltas of each changed file and a baseline copy of each new file, restoring any requested file, if on-site, by recovering the current version and subtracting the appropriate reverse deltas therefrom until the requested file is produced, or, if off-site, by recovering the baseline version and adding the appropriate forward deltas thereto until the requested file is reproduced. The inventorying process enables the system to issue warnings for deleted files, possible corruption of files, and unidentified possibly valued asset files.

A computerized process of intelligently inventorying data and managing assets includes the steps of initially inventorying a plurality of hardware, software, and data files on-site by assigning a hexadecimal signature identifying each file in the database, inventorying the files at a subsequent time by repeating the prior step and comparing the previous and current signatures of the files to determine whether any of the files have been changed, comparing the current version of a changed file to the last previous on-site version of the changed file, computing the differences between the two versions by different forward and reverse algorithms to provide a forward delta and a reverse delta, storing the current version and the reverse delta of the changed file on-site while deleting the last previous on-site version of the changed file, permanently storing off-site the forward deltas of each changed file and a baseline copy of each new file, restoring any requested file, if on-site, by recovering the current version and subtracting the appropriate reverse deltas therefrom until the requested file is produced, or, if off-site, by recovering the baseline version and adding the appropriate forward deltas thereto until the requested file is reproduced. The inventorying process enables the system to issue warnings for deleted files, possible corruption of files, and unidentified possibly valued asset files.

An intelligent database infrastructure wherein the management of all database components is performed by and within the database itself by integrating management of various components with a central management control. Each individual database component, as well as the central management control, is self-managing. A central management control module integrates and interacts with the various database components. The database is configured to automatically tune to varying workloads and configurations, correct or alert about bad conditions, and advise on ways to improve overall system performance.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to artificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

Systems and methods are provided for backing up database storage. A protection policy for database storage is activated at a remote host, wherein the database storage is not physically accessible by the computing device, such that the out-of-band storage is not in communication with the remote host through the computing device. A backup request is transmitted to the remote host comprising data indicative of a volume on the database storage to back up according to the protection policy. A response to the backup request is received comprising staging disk requirements including a required size for a staging disk. A staging disk is determined based on the response. The staging disk is presented to the remote host so that the remote host can perform a backup of the volume to the staging disk using a database backup tool provided by a vendor of the database storage.

The invention applies to the technical field of controlling central air conditioners, and provides an intelligent optimal control system for central air conditioners, as well as a method thereof. The system comprises a sensor, an intelligent controller and a system equipment control device, wherein the sensor is used for acquiring the operation parameter information of every system; the intelligent controller analyzes and predicts the dynamic load of the cooling requirements of users according to the operation parameter information acquired by the sensor; and the intelligent controller controls the system equipment control device according to obtained load prediction results. The invention performs dynamic analytical prediction for the cooling requirements of the users by acquiring the operation parameter information of every system, utilizes an intelligent database to analyze the prediction results, equipment operation parameters and the like, puts forward an optimal operation proposal, and performs control, so as to give full play to the energy saving potential of the central air conditioners and gain maximum economic benefit.

A solution is provided wherein only primary keys are used as meta-data to construct many-to-many relationships between table, resulting in amore robust, efficient database structure. Once tables of user-specific data are bound to the database as meta-data using their primary keys, the system may automatically ensure the handling of the records as related units. This eliminates the traditional heavy-weight dependence on foreign key relationships.

The invention relates to an intelligent active advertising platform based on a somatosensory technology, which is characterized by comprising a Kinect somatosensory controller, a RFID (Radio Frequency Identification) reader, an LCD (Liquid Crystal Display) display screen and a high-performance processor. The intelligent active advertising platform has the benefits that a machine vision technology applied by the intelligent active advertising platform mainly includes a face recognition and motion-sensing technology-based intelligent algorithm and is matched through an intelligent database, and a recognition result is classified, applied and unloaded to a remote server; a traditional advertising display form is improved through a virtual reality and augmented reality technology, so that the intelligent active advertising platform based on the somatosensory technology can realize three groundbreaking functions of 'active interaction', 'measurement and analysis' and 'terminal monitoring'.

A system and method, which registers and stores data and is responsive to queries through management of an inferencing-enabled metadata includes an intelligent database, which receives data or queries and manages data models. An ontology management system is associated with the intelligent database and receives and stores classes of information related to a data model therein to be employed in satisfying queries. A relational database is associated with the intelligent database and receives and stores attribute schema for instances of the class having at least one attribute value linked with the class in the ontology management system.

A system and method for smart caching, in which caching is performed according to one or more functional criteria, in which the functional criteria includes at least time elapsed since a query was received for the data. Preferably at least data is cached.

The accuracy of flight management systems, based on mathematical prediction models calculated from aircraft specific data, are improved by adding engine sensor data to the calculations, checking sensor and pilot entered data, and comparing data measured from redundant sensors. A thrust estimate, calculated from available engine sensors, is added to the thrust-minus-drag aircraft model allowing prediction parameters to be accurately calculated even in a cruise condition. Sensor data and pilot entered data used in calculating predication parameters are checked to improve accuracy. Redundant sensor data is compared to determine the level of agreement. Redundant sensor data is also compared with a valid data range to find the sensor with the most accurate data.

The invention provides a prison voice data identification and monitoring early warning system. The prison voice data identification and monitoring early warning system is characterized by comprising a collection module, a voice identification module, an information contrast module and an early warning module; a recording module is connected to the voice recognition module; the information contrast module is connected to the voice identification module; the early warning module is connected to the information contrast module; the voice recognition module is connected to a language abnormity storage module storing abnormal information in the information contrast module; the voice identification module comprises a characteristic voice database for extracting voice data characteristic points of a talker and performing classification storage on corresponding characteristic points; and the characteristic point classification unit is connected to an intelligent database association unit. The prison voice data identification and monitoring early warning system, equivalent to a voice characteristic label description method, can effectively solve association degree detection of voice data key information and creates a technology method and a favorable condition for a related department to extract important information.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to artificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

A method and software for detecting computer system intrusions. More specifically, a method and software for detecting such intrusions by comparing an electronic signal to a database of know intrusion signatures, where the database is chosen based on various characteristics of the signal.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to arfificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

The present invention provides systems and methods for automatically mining massive intelligence databases to discover sequential patterns therein using a novel combination of forward and reverse temporal processing techniques as an enhancement to well known pattern discovery algorithms.

The invention relates to a translation method and a translation system. The translation method includes the steps: input information receiving; voice recognition processing; translation preprocessing; translation engine triggering; translation review processing; translation post-processing; and translation result output. The translation system comprises an input interface module, an output interface module, a voice recognition processing module, an intelligent database, a translation preprocessing module, a translation engine triggering process module, a translation review processing module and a translation post-processing module, wherein the translation review processing module comprises a machine and a man-machine interaction working platform. A newly developing machine and manpower cooperation mode is provided, and multichannel access is supported. The translation system is high in compatibility, language inclusiveness, translation processing speed and accuracy.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to artificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

A ship integration electric power propulsion system intelligence fault diagnosis system based on LabVIEW comprises an intelligent database module, a data information acquisition module, a time domainanalysis and fault characteristic extraction module, a fault identification module and a man-machine interaction interface. The intelligent database module contains a ship integration electric power propulsion system database based on SQL and the system database comprises a motor intelligent database, a sensor intelligent database, a frequency converter intelligent database, an inverter intelligent database and a propeller intelligent database. The data information acquisition module comprises a triaxial accelerometer and an FPGA module. The fault identification module comprises an off-line training portion and an on-line identification portion. The man-machine interaction interface is connected to the intelligent database module, displays data sent by the intelligent database module and sends an operation instruction to an intelligent database. The system possesses a good man-machine interaction interface, operation is simple, a diagnosis process and result display are concise and visual, and execution efficiency and fault diagnosis accuracy are high.

The invention discloses a manufacturing unit intelligent control method, device, and system for condition monitoring, and intelligent control equipment. The method comprises the following steps: receiving processing state data of at least one processing parameter of a manufacturing unit; calculating processing state data characteristics according to the processing state data; matching the processing state data characteristics with historical processing state data characteristics in an intelligent database; obtaining corresponding processing quality features to control an operation of the manufacturing unit when the matching historical processing state data characteristics are queried in the intelligent database; and obtaining the generated processing quality features of a workpiece, and generating new historical data and storing the data into the intelligent database according to the processing parameters, the processing state data characteristics and the processing quality features when the matching historical processing state data characteristics are not found in the intelligent database. According to the method, analysis and processing of the processing state data in a product manufacturing process are achieved; and the method is equipped with effective control and prevention functions for product processing quality.

A method and associated systems for a database-management system with artificially intelligent database administration. The DBMS includes one or more databases, each of which is monitored by sensors that detect conditions indicative of database performance. An operational engine receives input from the sensors, translates it into a form understandable by an artificially intelligent decision engine, and forwards the translated input to the decision engine. The decision engine uses preloaded knowledge elements stored in a knowledgebase to infer whether the sensor input identifies an issue that must be resolved by a database-administration activity. If so, the decision engine attempts to select a best solution, optionally seeks confirmation of its selection from an outside source, and directs the operational engine to implement the selected solution. The relative success of the solution is fed back to the knowledgebase, allowing the system, by means of machine learning, to continuously improve accuracy and effectiveness.

The invention provides an automatic reply method and a device for a user inquiry and electronic equipment. The automatic reply method comprises the following steps: determining a question statement text of the inquiry input by a user; inputting the question statement text into a structured query language (SQL) conversion model, and outputting a corresponding question SQL statement; wherein the SQL conversion model is obtained by training based on a sample question statement text and a corresponding question SQL statement label, and the sample question statement text and the corresponding question SQL statement label are automatically constructed according to a preset rule; querying in a preset database by using the questioning SQL statement to output a query result; and splicing the query result into a natural reply statement and outputting the natural reply statement. According to the method, the device and the electronic equipment provided by the invention, automatic reply aiming at the inquiry of the user is realized, and the convenience and the high efficiency of using the intelligent database in reply are improved.

The invention provides an intelligent database application system applied to an artificial intelligent robot and an interaction method. The artificial intelligent robot has begun to enter the family daily life and is started to be applied to living environments of an intelligent product with children as a service object, children education, ability training, intelligence toys, behavior habit and life entertainment. According to the artificial intelligent robot, the information data interaction between people (children) and the intelligent robot is realized through an intelligent database application system, and the information data interaction comprises information interaction of vision, hearing, language, behavior and the like, thus various intelligent sensing device are loaded on the robot, the information transfer between the people and the robot is realized through the intelligent subject database module, the intelligent data acquisition module, the intelligent data analysis module, the intelligent instruction application module, the intelligent background management module of the intelligent database application system, and so the artificial intelligent robot needs the intelligent database application system and the robot intelligent interaction method.

The present invention relates to systems and methods for eliminating unnecessary link state database exchanges and processes when two OSPF routers are forming a full adjacency. In particular, the invention provides methods and mechanisms for deducing information about unreachable routers from link state changes received, recording the information about the unreachable routers for a given period of time, constructing a neighbor database summary list that does not contain the LSAs that the neighbor has through using the information about the unreachable routers and reachable routers, and determining whether the neighbor router is restarted after it becomes unreachable. In addition, the present invention provides a few of options to deduce and use the information about the unreachable routers and the information in the link state database for eliminating unnecessary link state database exchanges and processes.

The invention discloses a sewage treatment monitoring system comprising a sewage treatment system and a cloud side monitoring platform. The sewage treatment system comprises multiple sewage treatment units. A water level data monitor, an equipment data monitor and a water quality data monitor are arranged so as to monitor the water level height data, the operation state data and the water quality monitoring data in the sewage treatment units. The data are monitored in real time to be uploaded to the database of the cloud side monitoring platform to be compared with the water level critical value, the equipment abnormal condition and the water quality continuous monitoring data stored in the intelligent database to judge abnormality of the sewage treatment system so that abnormality information is emitted to notify operation personnel to perform proper treatment or adjustment.

The invention discloses an omnibearing security and real-time navigation system supporting source sharing, which comprises a user terminal and a network security service center, wherein the network security service center comprises a geological information system used for integrating and analyzing information and generating related data, an on-line information processing system used for providing a friend interaction platform for direct information interaction with a user, an intelligent database system used for generating and storing media data on vehicle-mounted positioning and traces and a WEB site network system used for integrating result data generated by GIS and an intelligent information system; and the user terminal comprises a vehicle-mounted security terminal and a vehicle-mounted entertainment system, wherein the vehicle-mounted security terminal comprises a CUP, a GPS module, a GPS positioning module, a handle and a connecting port connected with the vehicle-mounted entertainment system, and the vehicle-mounted security terminal and the vehicle-mounted entertainment system are linked integrally by a short-link technique. Thus, the omnibearing security and real-time navigation system can protect the life and property safety of the terminal user, provide real-time navigation services and save individual and social sources.

The invention discloses a clinical nutrition diagnosis and treatment simulation system. The clinical nutrition diagnosis and treatment simulation system comprises an evaluation module, a diagnosis module, an intervention module, a monitoring module and an effect evaluation analysis module; the clinical nutrition diagnosis and treatment simulation system further comprises intelligent databases including an evaluation database, a diagnosis database, an intervention database and a monitoring database. A user using the system can make a diagnosis according to a diagnosis prompt; the intelligent databases also include the intervention database which comprises a nutrition analysis model, and the nutrition analysis model is used for classifying and refining a nutrition problem into a three-level nutrition problem and generating intervention information according to the intervention model. The clinical nutrition diagnosis and treatment simulation system disclosed by the invention can be used for systematizing the implementation of clinical nutrition intervention and can be used as a training tool for behavior formation of nutrition diagnosis and treatment personnel in hospitals; the nutrition problem can be accurately defined; the nutrition problem analysis model can be upgraded so as to be kept synchronous with the latest research result in the industry.