698 results about "Data correlation" patented technology

The present invention provides a method and apparatus of using light-emitting elements for illumination as well as communication of data, wherein potential flicker due to sub-fusion frequency data correlations can be reduced compared to prior art techniques, while reducing redundancy in the data transmission. The intensity of the illumination from the light-emitting elements is controlled by a dimming signal such as a pulse width modulation (PWM) signal or a pulse code modulation (PCM) signal, for example. An amplitude-modulated data signal is then superimposed on the dimming signal for communication of data. The dimming signal thus acts as a carrier signal for the data signal. A sensing means is then used to receive the data signal by detecting all or part of the illumination from the light-emitting elements. The data signal can subsequently be extracted from the detected illumination.

An RF object locating system and method that uses or includes a set of N (N>2) receivers (monitoring stations) located at fixed positions in and/or about a region to be monitored, one or more reference transmitters that transmit a timing reference, a location processor that determines object location based on time-of-arrival measurements, and at least one object having an untethered tag transmitter that transmits RF pulses, which may additionally include object ID or other information. Free-running counters in the monitoring stations, whose phase offsets are determined relative to a reference transmitter, are frequency-locked with a centralized reference clock. Time-of-arrival measurements made at the monitoring stations may be stored and held in a local memory until polled by the location processor. The invention permits rapid acquisition of tag transmissions thereby enabling the monitoring of large numbers of objects, and also provides a unique approach to data correlation in severe multipath environments.

Broadly speaking, the present invention fills the need of selecting correlated advertisements for displaying to users by utilizing the advertisement-viewing data collected on users of a web site. The advertisement-viewing (ad-viewing) data of users of a web site can be correlated to extract similarities and patterns of ads being viewed by users of the web site. The correlated ad-viewing data of all users of the web site, along with URLs (Uniform Resource Locators) of ads viewed by a particular user, can be used to select advertisements that are likely to be interests to the particular user. Ad-viewing data correlation allows the web site to select ads to display to users in real-time based on users' latest ad-viewing data. Since selection of ads to display is based on mathematical calculation using a correlation table of ad-viewing that has been generated ahead of time, the method can be scaled to meet demands of a large amount of users, such as millions. In addition to ad-viewing correlation table and users' latest ad-viewing data, advertisement pool of advertisements paid by advertisers is also taken into consideration during the ad-selection process.

The invention relates to a network security situation awareness system and method based on information correlation. The system comprises a data acquisition module, a network security situation evaluation module, a network security situation prediction module and a network situation visualization module, wherein the data acquisition module is used for acquiring network essential information; the network security situation evaluation module is used for quantitatively analyzing threat, frangibility and stability of the network by utilizing the network essential information, thereby analyzing the current network security situation; the network security situation prediction module is used for predicting the network security situation according to historical information and current state of the network security situation; and the network situation visualization module is used for visually displaying network security indexes according to the analysis and prediction result of the network security situation. The invention solves the problem that the existing network situation awareness system lacks data validity verification, data correlation and quantitative analysis, so that the network security situation awareness is more accurate.

Proper user-to-data associations are maintained in shared spaces created in a peer-to-peer collaborative system by means of a simplified and minimal user interface that permits users to easily authenticate other members of a shared space. In particular, support is provided for automatically building authenticated relationships even if users do not take the time to authenticate other users. When a user enters a shared space and views the contacts in that space, the display names of each contact are accompanied by distinctive icons that identify that authentication status of that contact. A mechanism is provided for resolving conflicts between contacts with the same display names to prevent confusion and contact “spoofing.” Security policies can be established to provide a uniform approach to authentication. These policies can be set by a user or, alternatively, the policies can be set by an administrator.

Embodiments disclosed herein can significantly optimize a root cause analysis and substantially reduce the overall time needed to isolate the root cause or causes of service degradation in an IT environment. By building on the ability of an abnormality detection algorithm to correlate an alarm with one or more events, embodiments disclosed herein can apply data correlation to data points collected within a specified time window by data metrics involved in the generation of the alarm and the event(s). The level of correlation between the primary metric and the probable cause metrics may be adjusted using the ratio between theoretical data points and actual points. The final Root Cause Analysis score may be modified depending upon the adjusted correlation value and presented for user review through a user interface.

A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling is disclosed. The present invention includes a method for using the Internet to obtain information, including, reading a data record stored in a field of data, searching a database for information describing the data record, condensing the information describing the data record into a value description, associating the value description with the data record, and augmenting the field of data with the value description associated with the data. The present invention also includes a computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling and data mining to conduct searches of data in the augmented database.

NIC collected network statistics are captured by agent devices resident on Host machines of a network. A probe (software or hardware) retrieves the collected statistics from one or more monitored hosts (each host on the network, for example) and places them in RMON MIB and RMON extension MIB formats. The MIB data is retrieved by queries from a data correlation device that then correlates the queried data into useful statistics regarding network traffic. The useful statistics include network traffic in bytes per second for each application, application protocol, hosts, user logon id, etc. for each of the monitored hosts. Different views including a host to host matrix view are provided in a split window display.

The invention provides a data correlation query device and a data correlation query method. The data correlation query device comprises a data acquisition unit, an SQL (structured query language) execution unit, a cache number-picking formula construction unit and a cache execution unit. The data acquisition unit is used for obtaining a fundamental field of a fact table and selecting a field of a dimension table based on the fundamental field to be used as an correlation field for correlation of the fact table and the dimension table; and the SQL execution unit is used for implementing query operations through SQL statements based on the fundamental field and a datasheet with the fundamental field, and obtaining a result set; the cache number-picking formula construction unit is used for obtaining a main key value corresponding to the correlation field from the result set, and constructing a cache number-picking formula in combination with a data path with the correlation field; and the cache execution unit is used for obtaining the value of the correlation field according to the cache number-picking formula and combining the value of the correlation field and the result set to obtain final query results. The fact table and the dimension table can be associated efficiently, results can be implemented efficiently, the fatal pressure on the system caused by correlation query of the fact table and the dimension table with a large number of data can be avoided, and the efficiency can be improved.

The invention provides a device and a method for dynamically scheduling instructions transmitted from an operation queue to a reservation station in a microprocessor. The method comprises the following: a step of writing instructions, which is to set and then write the operand states of the decoded instructions on the basis of data correlation between the decoded instructions to be written into the operation queue and effective instructions in the operation queue, as well as instruction execution results which have been written back and are being written; a step of updating the operand states, which is to update the operand state of each instruction not transmitted on the basis of the data correlation between each instruction not transmitted and the instructions being written back of instruction execution results; a step of judging to-be-transmitted instructions, which is to judge whether the to-be-transmitted instructions with all operands ready exist on the basis of the operand state of each instruction not transmitted; and a step of transmitting instructions, which is to transmit the judged to-be-transmitted instructions to the reservation station when the reservation station has vacancies. Pipeline efficiency can be effectively improved by transmitting the instructions with the operands ready to the reservation station on the basis of the data correlation between the instructions.

Embodiments of the present disclosure include systems and methods for providing query service of secured contents. A data collection service collects data and security context associated with the data from a data source and stores the data with the security attributes in a datastore, where the security attributes are derived from the security context and used to determine access to the data so that access to the data is consistent with the security context. Upon receiving a query and a user context of a requester making the query of the datastore, a set of query results is obtained. Based on the user context and security attributes, it is determined whether the requestor has a proper right to access the query results. If the requestor has a proper right to access the query results, access to the query results is granted.

The present invention provides users with cloud-based high throughput computing system for integrative analyses of next generation sequencing genomic data, such that human cancer biomarkers and drug targets can be accurately and quickly identified. Advantageously, the present invention harness a comprehensive systematic analysis pipelines for all types of next generation sequencing genomic data, advanced genomic variants calling algorithms and modeling, variant data correlation and integration, and identification of cancer specific biomarkers and therapeutic targets. Thus, the present invention will aid users so that less of their time and efforts are required in order to obtain precisely the desired information for which they are analyzing.

A ship intelligent energy efficiency management system includes a basic function module and an advanced function module. The basic function module is used for monitoring and evaluation on energy consumption and energy efficiency; through automatic collection and online monitoring of ship navigational status and energy consumption condition data, by applying data correlation analysis and a data model algorithm, analysis, evaluation and predication are performed on ship energy consumption, energy efficiency and discharge, so that data evaluation and analysis results and assisting decision suggestions are provided for ship operation managers and intelligent energy efficiency management basic functions of ship energy efficiency real time monitoring, intelligent evaluation and optimization andcomprehensive report generation are implemented. The advanced function module is used for navigational speed optimization and establishing of a ship energy efficiency analysis model and a navigationalspeed optimization analysis model, so that the navigational speed optimization function based on voyage number plan and economic benefit is implemented. Real time evaluation is performed based on data collected in real time. Ship operation condition is regulated based on energy efficiency improvement on the basis of actual data, so that ship energy efficiency management becomes more scientific and effective.

The invention discloses a positioning method and a positioning system of location fingerprints. The positioning method of location fingerprints comprises the following steps of: (1) dividing a first region, in which a positioned point is located, into a plurality of second regions, and selecting a plurality of sampling points in each second region; (2) collecting information about access point signal receiving strength of each sampling point, recording coordinate information and region attribute information of the sampling points, and inputting the collected information to a database; (3) creating a corresponding table of lists about region attributes and access point medium access control addresses; (4) extracting the access point medium access control addresses of the first m sampling points with the highest access point signal receiving strength, performing retrieval in the corresponding table, and matching n regions having the highest coincidence degree of the access point medium access control addresses with the m sampling points; and (5) extracting location fingerprint points in the n regions from the database, performing data correlation method operation with the sampling information of the positioned points, and acquiring location coordinate information of the positioned points.

The invention discloses an association rule mining method based on mass data and relates to the technical field of information processing. The association rule mining method specifically comprises the steps that input data are divided according to records, a frequent 1-itemset table is set, data projection is carried out on the frequent 1-itemset table, the projected data are stored in a set grouped table, a local frequent pattern tree is set, then data association rule mining is carried out on the frequent pattern tree, in the process of mining on the frequent pattern tree, a pruning strategy is adopted, the number of iterations of the association rule mining is reduced, each computation node only processes one part of data records, and therefore the problem that the mass data can not be read into a memory by one computer to be processed is solved. In addition, various nodes participate processing in parallel, and processing efficiency is improved effectively.

A method, system, and computer program product for fault data correlation in a diagnostic system are provided. The method includes receiving the fault data including a plurality of faults collected over a period of time, and identifying a plurality of episodes within the fault data, where each episode includes a sequence of the faults. The method further includes calculating a frequency of the episodes within the fault data, calculating a correlation confidence of the faults relative to the episodes as a function of the frequency of the episodes, and outputting a report of the faults with the correlation confidence.