285 results about "Database analysis" patented technology

A computerized research system operates over an authoritative document collection to facilitate user analysis and organized reporting of information gathered from the collection. The computerized research system includes database, analysis and organization, and reporting modules. The database stores an index of a document collection, wherein the index is constructed to identify the occurrence of and association between authoritative assertions existing within the documents of the document collection. The analysis module is coupleable to the database and responsive to user interaction to provide a user navigable representation of authoritative assertions and to organize a user determined set of authoritative assertions selected from the document collection. The reporting module is, in turn, responsive to the user determined set to, under user direction, generate a report document containing a literate reporting of the user determined set of authoritative assertions.

A system for matching potential buyers and sellers of complex offers, comprising a plurality of data collection devices, each connected to at least one packet-based data network and adapted to collect data pertaining to a plurality of potential buyers or sellers of complex offers, a summary data generator software module operating on a server computer and connected via a data network to a database, an attribute index generator software module operating on a server computer and connected via a data network to the database, a categorization software module operating on a server computer and connected via a data network to the database, a buyer analysis engine software module operating on a server computer and connected via a data network to the database, an analysis engine software module operating on a server computer and connected via a data network to the database, and a matching engine software module operating on a server computer and connected via a data network to the database. Data collected by the data collection devices is stored in the database and is used by the summary data generator software module to generate a plurality of summary data elements pertaining to a potential buyer of a complex offer, and the plurality of summary data elements is stored in the database and used by the attribute index generator software module to generate attribute indices each based on at least two summary data elements using a weighted relational algorithm, and at least some data collected by the data collection devices is used by the buyer analysis engine software module to determine at least a probability that a buyer will buy a specific complex offer, and the marching engine software module uses an optimization algorithm to determine an optimal matching of potential buyers and complex offers based at least in part on a plurality of attribute indices and a likelihood to buy for each potential pair of offers and potential buyers.

The present invention relates to a method and apparatus of utilizing an eye detection apparatus in a medical application, which includes calibrating the eye detection apparatus to a user; performing a predetermined set of visual and cognitive steps using the eye detection apparatus; determining a visual profile of a workflow of the user; creating a user-specific database to create an automated visual display protocol of the workflow; storing eye-tracking commands for individual user navigation and computer interactions; storing context-specific medical application eye-tracking commands, in a database; performing the medical application using the eye-tracking commands; and storing eye-tracking data and results of an analysis of data from performance of the medical application, in the database. The method includes performing an analysis of the database for determining best practice guidelines based on clinical outcome measures.

The invention discloses a portable partial discharge ultrasonic cloud detection device, which comprises an ultrasonic sensor, a temperature sensor, a humidity sensor, an atmospheric pressure sensor, a signal processing module, a wireless network device, a display and an earphone. The sensor transmits the signal to the signal processing module, and the processed signal is transmitted to the cloud server through the wireless network device, and the signal is subjected to anti-interference processing and characteristic parameters are extracted and stored in the partial discharge signal characteristic database. For analysis, the operator monitors the sound in the earphone and makes a diagnosis based on the results of the cloud server. The diagnosis result is displayed on the monitor, and the device detects and alarms at the same time. The invention uses the data analysis, processing and storage capabilities of the cloud detection principle to detect the partial discharge in the equipment early and prevent the occurrence of major accidents through online monitoring or inspection of the partial discharge of the high-voltage equipment.

Embodiments of the present invention provide a mechanism for certifying the compatibility of a software product by identifying the interfaces (API or ABI) used by that product. The source code or object code of a component is analyzed by a tool that traces which interfaces and data structures of an ABI / API are being utilized. For example, an ISV or IHV may be required to run the tool on their respective components in order to have that component certified with a particular version of an operating system and submit the results to a certification service. The certification service may collect this API / ABI information into an integrated database. The certification service may then use this database to analyze the impact of changes to an operating system at the binary interface level, proactively notify vendors prior to these changes, test compatibility and emulation libraries, and certify components are compatible with an operating system without the need of significant testing.

A video analysis system including a video output device monitoring an area for activity, a video analyzer processing output of the video output device and identifying an event in near-real-time, and a persistent database archiving the event for an operational lifetime of the video analysis system and accessible in near-real-time.

A computer-implemented analytical and reporting system includes an input device, a database and a processor. The input device is operative for inputting analytical data results of a test sample. The database includes an analysis methodology data section, an instrument data section and a forms data section. The processor is operative for receiving from the input device the analytical data results of the test sample. The processor is also operative for receiving from the database analysis methodology data of at least one analysis method, instrument data of at least one analytical instrument and forms data of a desired analytical report form. The processor is also operative for processing the analytical data results and the instrument data using the analysis methodology data and is operative for generating an analytical report produced on the desired analytical report form depicting final analytical results based on the analysis method and the analytical instrument.

A method and system for inventory management of pharmacies and for detecting trends includes a pharmacy search and order service that receives information on prescriptions and communicates the prescription information to the pharmacies. The pharmacy search and order service also receives patient information, such as patient demographic data. The prescription information and patient information received by the pharmacy search and order service is transferred to a self-learning service where a rule database analyzes the information to detect trends in usage of medical items. The pharmacy search and order service determines which pharmacies have requested medical items in inventory and provides user output information indicating availability of the medical items at the pharmacies or indicates a nearest pharmacy having the items. An option provides for confirmation from the pharmacy of the item in inventory.

A method and a surveillance system for surveilling the state of work machines including the steps of the making available sensors for detecting the operating state of the work machines; the making available of a first work machine specific databank with construction data; the making available of a second work machine specific databank with evaluation specific reference data; and analyzing of the measured values of the sensors regarding possible faults of a work machine using the first and the second databank. If the analysis of the measured values indicates a fault in the work machine, then a presentation of information to an operator is accomplished regarding the presence of a possible fault and the determined fault location. Inputs of the operator are received regarding faults that are found by him. The measured values and / or of analyzed results derived from them and of operator inputs are transmitted to a central damage databank and the central damage databank is updated. The second databank is updated based on the updated damage databank.

A vehicle entertainment and information processing (VEIP) system may allow a user to listen to quality broadcast signals while moving through regions of varying signal strength. The VEIP system includes a navigation unit, a tuning receiver, and a system controller to analyze broadcast signals based on a broadcast station database. The VEIP system may switch to alternate broadcast stations when the broadcast signal degrades because of terrain, position of the vehicle, or other driving conditions.

A method for providing workload information in a structured workload information data structure format that is organized according to a workload schema to be conducive to a given end usage of the information. The structured workload information can be made accessible using standard database analytical server applications to facilitate ad-hoc querying of the structured workload information to summarize and analyze the database workload or to facilitate exchange of workload information. A structured workload information (SWI) is constructed according to a SWI schema to facilitate a desired end usage of the workload information. The query information is extracted from the workload and stored in a structured workload information (SWI) data structure according to the schema based on the desired end usage of the information such as ad hoc querying or information exchange. The query information may be stored in a relational database having query information organized as a central fact table and a collection of hierarchical dimension tables or as an OLAP cube featuring hierarchical dimensions that arrange the query information in dimensions having objects ordered as a function of granularity or the information may be stored according to an XML schema wherein units of query information are separated by XML tags that identify a type of workload information.

A distributed, multistage agent for monitoring, diagnosis and maintenance of network devices comprises an input / output interface for receiving input monitoring and diagnostic data relevant to operation of a first neighboring agent and transmitting output monitoring and diagnostic data relevant to operation of the host network device to a second neighboring agent. An agent process analyzes the input data and generates processed data characterizing operation of the host network device, using a local database which stores expected performance data on operation of said network device. The processed data is correlated with the expected data any error is signaled to the network operator. The agents may be designed as a multiple stage process, the stages being triggered by the data output by an earlier stage only when needed.

In one aspect, a database analytical tool or function analyzes join queries to detect queries which could be reduced if a referential integrity relationship were known. In another aspect, a probable latent referential integrity relationship is detected using one or more heuristics. Preferably, a join query is analyzed to detect a joined table which has no other conditions placed on it, and no referential integrity relationship already defined. For any such query, the analysis attempts to verify a probable latent referential integrity relationship using at least one heuristic, such as comparing cardinality of the potential primary key with the size of the table and / or with the cardinality of the foreign key. It is further possible to execute the join for some sample of records, and determine whether any records were found which did not conform to referential integrity constraints.

The present invention relates to a corporation call center system having real time capabilities, which comprises: (a) storage for at least a portion of the operational database of the corporation; (b) analysis module for analyzing the data of said storage, and forming model tables describing some selling and purchasing pattern of behavior as realized from prior knowledge, and model engine programs for operating with said model tables; (c) model engine programs for: (c.1.) initially, and in real time during a specific interaction with a customer, substituting real values relating to said specific interaction in said model tables, and determining respectively a most valuable parameter for the corporation or a ranking list of most valuable parameters which has to be obtained from said customer, and providing the same to a real time engine for introduction in real time to said customer; and (c.2.) upon receipt of real, value for said most valuable parameter from the customer, determining in real time by using said model tables a most attractive product or a ranking list of most attractive products, and conveying the same to said real time engine for introduction as an offer to said customer; (d) a real time engine for: (d.1.) during said interaction of an agent with a specific customer, receiving from said model engine programs either said most valuable parameter for the corporation or said ranking list of most valuable parameters, and introducing the same as a real time message to the agent for questioning by the agent from the client a real value for the same, and upon receipt of said real value from said agent, conveying it to said model engine programs; (d.2.) receiving from said model engine programs an indication relating to a most attractive product or a ranking list of most attractive products, and initiating in real time a respective message to the agent notifying him to offer the customer one or more of said most attractive products.

A method for analyzing data from a database using an analytic database function includes receiving a selection of measured items from a user, receiving a placement item from the user, and determining a partitioning of the selection of measured items from the placement item. A placement item can be a column, a row, or an axis. A template associated with the analytic database function is adapted to define at least one partitioning relative to the placement item. The template is further adapted to define an ordering parameter for the analytic database function and optionally an aggregation level for the analytic database function. A database query is created with the partitioning. The database query can be an SQL statement.

Provided are a method and system for analyzing database incremental logs. Under the conditions of executing dense DDL operations, the problem of metadata loss during mysqld can be reversely checked. The method comprises the steps that metadata and the database incremental logs are acquired from a source database, and the metadata are copied into a database analysis module; the DDL operations in the database incremental logs are inquired, and serially input into the database analysis module to be executed, and new metadata are generated according to the metadata acquired from the source database and execution of modification of the DDL operations on the metadata through the database analysis module; every time one DDL operation is finished being executed, the database analysis module is searched for the new metadata corresponding to the DDL operation, and the database incremental logs are analyzed according to the new metadata. The metadata accurately matched with the database incremental logs can be provided in the analysis process of the database incremental logs.

The invention provides a supermarket shopping system and method based on a sonic label technology. The system comprises a supermarket goods storehouse management background, an automatic replenishment robot, a sonic label 360 degree reader shopping cart and shelf, goods with sonic labels, a computer terminal in wireless communication with the shopping cart with the label reader, a mobile phone in network connection with the computer terminal, a user shopping habit analysis database connected with the mobile phone and another computer, a cloud platform, a user APP accumulation credit library, a credit line pre-loan system, and an automatic opening and closing gate. According to the invention, goods unique code information reading and automatic robot replenishment for out-of-stock shelves are realized; simultaneous reading of the reader is not affected by overlapping stacking of goods put into the shopping cart; shopping code, amount and total amount are simultaneously displayed on a mobile phone APP; the mobile phone APP can be fixed with a bank card, or an APP credit blank note is used for overdraft payment; after payment, a gate carries out automatic identification and opening for releasing; a user database analyzes user purchase habits and many other preferred functions; and the system and method have the advantages of simple structure, reasonable design and easy manufacture.

The invention provides cloud service platform architecture for face identification. The cloud service platform architecture comprises a service bus, a service request scheduling module, a platform operation management module, a database analysis module, a human face feature database and a feature processing cluster module. A set of identity authentication platform and data collection platform are constructed based on the modules. The platforms provide identity confirmation for all service systems and store face feature information of clients after authentication, thereby establishing a multi-dimensional three-dimensional client identity authentication system. Therefore, a risk prevention and control capability is enhanced.

The invention provides a game theory based gray haze monitoring and early warning system which comprises a government data acquisition unit, an enterprise data acquisition unit, a citizen data acquisition unit, a grey haze data acquisition unit, a server, a database, an early warning device, a PC, and a mobile terminal. The method is performed as follows. The server and the database integrate the government data acquisition, the enterprise data acquisition, the citizen data acquisition and the grey haze data acquisition. Through the use of the server and the database to analyze the tripartite game mechanism among the government, the enterprise and the citizen and the internal influence mechanism of different data, early warnings and reference to gray haze evolution and management can be made possible. The invention can also formulate different management strategies according to the situation of the tripartite game and observe the effect of the grey haze treatment with different treatment strategies. With the early warning device, the PC and the mobile terminal, the grey haze monitoring and early warning can be reported to a user.

The invention discloses an intelligent monitoring system for a vibrating device, and belongs to the technical field of vibrating devices. The intelligent monitoring system for the vibrating device is used for carrying out database analysis and processing, data transmission and data collection on the vibrating device, and carrying out accurate analysis, processing, storage, alarm and network WEB publish on different vibrating device data according to information collected on site through a database. A data collection device comprises an ultrasonic level meter, a strain sensor, a linear displacement sensor, a motor controller, an acceleration sensor, a weighing sensor and a temperature sensor. Due to the facts that intelligent feedback and intelligent display of data changes of collected parameters of the vibrating device are carried out through the intelligent monitoring system for the vibrating device, and early warning and diagnosis are timely carried out on faults of the vibrating device, quality and working efficiency of screening and vibration are improved. Due to the fact that data of a user are monitored in a real-time and remote mode, and an alarm can be given out, judgment, analysis and processing of the faults and accidents can be carried out timely and accurately, and the purpose that the production management level is further improved is achieved.

The invention provides a reservoir wave impedance prediction method based on dipole wave, which comprises the following steps that: logging data is analyzed to acquire the corresponding parameter data of the seismic response characteristics of a reservoir; well seismic calibration is carried out according to the logging and seismic data so as to extract wavelets and determine the time-depth relationship; the seismic response characteristic wave function of impedance changes is constructed according to the parameter data, the wavelets and the time-depth relationship; the way integral characteristics of the logging data are extracted according to the seismic response characteristic wave function to form a seismic response model database; the seismic data beside a well is analyzed according to the seismic response model database to work out an impedance interpretation spectrum of the seismic data beside the well; a seismic trace is analyzed according to the seismic response model database to work out a data body wave impedance spectrum; and the wave impedance is predicted according to the seismic response model database, the impedance interpretation spectrum and the data body wave impedance spectrum. According to the reservoir wave impedance prediction method based on the dipole wave, the wave impedance of the reservoir is predicted through the seismic characteristics and wave impedance change rules based on the analysis to the logging data, so that the precision in predicting the wave impedance of the reservoir and the resolution to thin reservoirs are improved.

The invention discloses a real-time monitoring and safety warning device for the temperature of a furnace tube of a tubular industrial furnace. The real-time monitoring and safety warning device comprises four parts, namely a detecting device, an electrical control device, an air source control cabinet and a computer process and control part. According to the characteristics of infrared radiation of the furnace tube, an infrared radiation image of the furnace tube is obtained by an optical imaging system suitable for colorimetric temperature measurement, the infrared radiation image is analyzed by adopting technologies of digital image processing, pattern recognition, computer vision measurement and the like, the distribution state of the temperature on the surface of the furnace tube is obtained in real time by virtue of the colorimetric temperature measurement technology so as to give an overtemperature alarm, and the change trend of the distribution of a temperature field of the furnace tube is obtained by utilizing a database to analyze history data in the whole operation cycle of the furnace tube so as to provide intuitive and effective basis for the evaluation of the efficiency of a heating furnace and the residual service life of the furnace tube. The real-time monitoring and safety warning device provides key parameters for the optimization of burning of the industrial furnace, and has great significance on ensuring safety production and improving productive efficiency.

The invention relates to a report generation system and method based on an on-line creation template and on-line specified data, an on-line specified data query function enables a user to directly specify data in a report, and target data can be obtained without professionals writing codes again. Through the online template manufacturing function, a user does not need to manufacture the template with the placeholder offline, a large amount of test work for manufacturing the template offline is avoided, and the difficulty of manufacturing the template is reduced. Data and a template are obtained through the functions, then the report generation function of the system integrates the data and the template together to generate a report, and the report generation system comprises a user management module, a database analysis module, a query condition management module, a template management module, a report management module and a file analysis module.

A system and method for implementing a refined dictionary for speech recognition includes a database analyzer that initially identifies first vocabulary words that are present in a training database and second vocabulary words that are not present in the training database. A relevance module then performs refinement procedures upon the first vocabulary words to produce refined short word pronunciations and refined long word pronunciations that are added to a refined dictionary. A consensus module compares the second pronunciations with calculated plurality pronunciations to identify final consensus pronunciations that are then included in the refined dictionary.

The present invention relates to a system and methodology to facilitate automated error correction of user input data via an analysis of the input data in accordance with an automatically generated and filtered database of processed structural groupings or formulations selected and filtered from past user activities. The filtered database provides a relevant foundation of potential phrases, topics, symbols, speech and / or colloquial structures of interest to users—which are automatically determined from previous user activity, and employed to facilitate automated error checking in accordance with the user's current input, command and / or request for information.

The invention discloses a method for utilizing big database analysis to carry out battery pack health state estimation. The method comprises the steps that: in a vehicle operation process, a battery management system of an electric automobile sends a battery state quantity to a vehicle operation database server by means of remote communication, and a vehicle-mounted system synchronously sends vehicle operation information to the vehicle operation database server; the vehicle operation database server collects full life-cycle data, a calibration SOH mapping table is obtained by means of big data analysis, and later on, according to the received battery state quantity and the vehicle operation information, the vehicle operation database server carries out SOH estimation based on the SOH mapping table and sends an SOH estimated value back to the electric automobile. The method provided by the invention is independent of original theoretical data of a single battery, and the errors of SOH estimation caused by battery grouping and condition environments are eliminated; in addition, big data analysis is utilized, so that the SOH estimated value of the electric automobile is more precise.

The invention discloses a distribution network fault information comprehensive collection and management platform which comprises a fault information collection system, a fault high-incidence section early-warning system, a fault information processing and pushing system, a fault information database analysis system and a client database analysis system.Fault information collected by an automatic fault service information collecting module comprises user fault service information, switch displacement fault information and distribution transform and user fault information.A distribution network emergency repair command worker carries out power grid topology analysis according to the fault information, obtains detailed power failure user information, manages power failure management service data in real time, carries out real-time fault information screen pushing and real-time fault searching, labels a fault position on a geographic map in real time, displays a fault influence range, perfects a client database, carries out monitoring and analysis according to client power utilization behaviors, and provides diversified power supply services.

The invention discloses a system for automatically generating interlocking software based on Boolean logic. The system comprises a database analysis module, a class module, a logic variable module, a logic tree module, a logic script generating module and a binary file generating module. The database analysis module receives original trackside data and screens out information needed by interlocking logic. The class module defines different types in the interlocking logic. The logic variable module defines class member variables and attributes of the class member variables. An interlocking logic rule base module defines grammatical rules based on the interlocking logic. The logic tree module is used for transforming a Boolean expression into a multi-fork tree structure. The logic script generating module is used for generating instantiated interlocking station interlocking scripts. The binary file generating module is used for generating instantiated interlocking station binary files. According to the automatically-generated interlocking software, a relay logic expression familiar to signal technicians serves as an expression form of codes, a rule base can be modified only in the mode similar to a natural language in the modification process, a large amount of development time is saved, and work efficiency is improved.

A computerized method of reducing complexity of data analysis including an inverse search process over a plurality of multimedia content elements mapped to points in a d-dimensional space, and by that improves search, advertising and database analysis efficiency. The computerized method comprises the stages: (i) mapping the points to core-set points, comprising a weighted set of points that represents the points according to predefined geometrical relationships, such that the number of the core-set points is substantially smaller than the number of the points; (ii) inversely projecting the core-set points to receive weighted multimedia content elements, such that weighting is carried out in relation to the geometrical relationships among the core-set points; and (iii) applying at least one inverse search algorithm to the weighted multimedia content elements.

A health care system is provided for analyzing a user's health on the basis of a large amount of health information and informing him or her of the danger of life style (related) disease. The system includes a health care center terminal connected via a network to a user terminal. The system also includes an analytic server connected to the health care center terminal. The health care center terminal has a diagnostic form display function for displaying on the user terminal a diagnostic form, in which the user can enter predetermined health information. The health care center terminal also has a health information reception function for receiving the information entered in the diagnostic form. The health care center terminal further has a health information transmission function for transmitting the received information to the analytic server. The analytic server has a health information database. The analytic server also has a health analysis function for receiving the transmitted information, and analyzing the user's health on the basis of the received information and the database. The analytic server further has an analyzed information transmission function for transmitting via the health care center terminal to the user terminal the information analyzed by the server.