21 results about "Computerized databases" patented technology

A computer monitoring system and method for determining one or more periodicity clusterings of alarm events in a computer database managed by an automated and industrial control system (AIC), wherein each alarm event has a time spaced repeat duration period relative to a succeeding alarm event. Captured from an AIC computer database is alarm data containing a plurality of alarm events, which are then clustered into one or more repeat period clusters based upon a repeat duration period for each alarm event, using one or more algorithmic techniques. Each determined repeat period cluster is analyzed to determine certain metadata associated with each repeat period cluster, which metadata for each repeat period cluster is analyzed to identify repeat period clusters as a valid alarm periodicity cluster. A tangible output is then provided indicating identified valid alarm periodicity clusters.

The application discloses a kind of distributed log's memory database parallel recovery method and system, belong to computer database technical field, the method is: the command log generated in memory database is stored by log partitioning and is physically isolated, and the metadata of each log partition is recorded;Based on pre-received recovery instruction and the metadata, the corresponding recovery plan is generated for each log partition;Parallelly start multiple recovery threads, and based on the recovery plan, the snapshot information pre-acquired in each recovery thread is loaded corresponding log partition, and according to the recovery plan and the snapshot information, the log fragment that needs to be replayed is determined, and the log fragment that needs to be replayed is replayed to corresponding log partition, to carry out parallel recovery to memory database.Therefore, by implementing the present application, the problem that the data recovery reliability of prior art distributed log memory data recovery process is complex and dependent on manual intervention can be solved.

The invention discloses a multi-environment consistency database script execution structure verification method, relates to computer and database technologies, is applied to database script consistency verification in a multi-database environment, and comprises the following steps: acquiring a request instruction by utilizing an agent program, and generating a standardized request object based on the request instruction; sending the standardized request object to each database environment; performing data source switching based on the standardized request object in any database environment, and executing the standardized request object after switching; and comparing the execution results returned by the database environments, and judging that the database script execution structure passes verification under the condition that the execution results are consistent. The method is used for database script consistency verification in a multi-database environment, the script consistency verification efficiency is improved, and the database test development efficiency is improved.

The embodiment of the present disclosure provides a language generation method and device based on a computer database, and an entity space relation model construction method and equipment. The method comprises the following steps: constructing an entity space relation model based on the spatial position relation among entities in a real scene, and storing the entity space relation model in the database; finding a target node and an auxiliary node having a mapping relation with the target node based on an entity word data set through the mapping relation in the database; finding a directed edge associated with the target node and the auxiliary node from the directed edge data set based on the mapping relation; generating a data segment describing the spatial position relation of the target node through the target node, the auxiliary node and the directed edge; and generating a sentence describing the spatial position relation of the target node after encoding the data segment based on an encoder. The present disclosure makes the language generation process more accurate, the position relation among entities more clear, and the position recognition rate among entities greatly improved.

A computer method and system for providing information results in response to a natural language information request. The system and method include receiving a natural language information request from a user and compiling a computer executable query from the natural language information request from a user wherein the query is formatted to extract data from one or more computer databases. The query is then presented to the user prior to execution of the query so as to enable the user to change the query prior to its execution. The query is then executed to extract data from one or more computer databases whereby extracted data is presented to the user in a certain presentation format.

The invention relates to a system (100) for updating an item of data representative of the weight of a product in a database (105), the system comprising: - a sensor (110) for detecting a value representative of the weight of a product; - a timestamp module (115) configured to associate a timestamp value with a capture of the weight value of a product that is represented, in a database by a product identifier; - a software module (120) for determining an item of data representative of the weight of a product according to at least: - a minimum number of weight values for a product identifier; - a validity time interval of the weight values captured for a product identifier; and / or - a maximum validity period of the weight values captured for a product identifier; and - a module (125) for updating a weight value of a product in a database.

The application relates to an automatic learning index method and system, in particular to a method and system for automatically recommending an optimal index according to computer data characteristics, to solve the problems that, when learning indexes of a computer are established, the number of layers of the learning indexes and corresponding models of each node need to be defined manually, the space cost of index establishment is large, the establishment process is difficult, and the establishment time is long, and the application relates to a method and system for automatically recommending an optimal index according to computer data characteristics, which comprises the following steps: constructing a learning index model, the learning index model comprising a regression model and a random forest model; training the learning index model by using a computer database as a training set; inputting a key key of training data; and outputting the position of the training data in the computer database. The application belongs to the field of database indexes.

The invention discloses a computer database server convenient to install, and the computer database server convenient to install is characterized in that a plurality of layers of isolation plates are fixedly installed at the inner end of an installation frame, each isolation plate is provided with a plurality of installation groove positions, and computer groups are arranged in the groove positions; a plurality of stabilizing racks are arranged at the upper end of the isolation plate at intervals, a sliding plate is slidably mounted on the upper surface of the isolation plate, and the computer unit is detachably mounted at the upper end of the sliding plate. The problems that when the computer unit is installed, due to the influence of the dead weight of the computer unit, the computer unit can be inserted into the rack with large force, the environment of the rack is possibly narrow and complex, the risk of misoperation is large, and the computer unit cannot be inserted into the rack when being pulled are solved. An operator cannot accurately control the force, so that the risk that a case falls off is increased, especially in a busy machine room. Therefore, the computer database server convenient to install is provided.

The present application relates to the technical field of computer database and basic algorithm transplantation, and particularly relates to a method for accelerating database hash operation by using SIMD and transplanting to ARM platform.The method of the present application comprises: according to a basic hash query algorithm, modifying and implementing a hash query method based on SIMD technology; according to a basic hash table building algorithm, modifying and implementing a hash table building method based on SIMD technology; defining a SIMD conversion library, implementing a conversion module ATN from an SSE instruction set and an AVX instruction set to a Neon instruction set, and providing a quick conversion process.The flow is shown in Fig. 1.The method improves the execution speed of hash query and hash table building operation by fully utilizing CPU computing capacity.The method reduces the operation complexity and coding amount of developers by defining a conversion library.

The invention discloses a self-adaptive index optimization system based on timing context driving, and relates to the field of computer databases. The context extraction unit is used for initializing a lock-free circular queue by applying a sliding window accumulation mechanism, calculating feature data in combination with a time sequence data stream and a query log, performing normalization processing on the feature data and constructing a context feature vector; the self-adaptive decision-making unit is used for taking the context feature vector and an algorithm library as input and outputting an optimal algorithm and a corresponding weight through an attention network; and the index reconstruction execution unit is used for executing a dynamic adjustment mechanism of the index structure in a linkage manner according to the output optimal algorithm and the corresponding weight, evaluating and updating the current state based on a dynamic adjustment result, and feeding back an updating result to the context extraction unit. According to the method, high-precision spatial-temporal feature modeling can be realized, the problem of mismatching of a strategy and a load is solved, and index expansion and delay peak are avoided.

Various aspects of the present disclosure relate to periodicity clusterings of alarm events ‎in a computer database managed by an automated and industrial control system ‎(AIC)‎, wherein ‎each alarm event has a time spaced repeat duration period relative to a succeeding alarm event. Alarm data is captured from an AIC computer database including a plurality of alarm events, which are then clustered into one or more repeat period clusters based upon a repeat duration ‎period for each alarm event, using one or more algorithmic techniques. Each determined repeat period cluster is analyzed to determine metadata associated with each ‎repeat period cluster, which metadata for each repeat period cluster is analyzed to identify repeat period clusters as a ‎valid alarm periodicity cluster. A tangible output is then provided indicating identified valid alarm periodicity clusters.‎

The invention discloses a distributed architecture-oriented time sequence library high-concurrency writing method, which relates to the technical field of computer databases, and comprises the following steps of: constructing a self-adaptive multi-stage writing path of time sequence data, and dynamically selecting the writing path of the time sequence data and adjusting a load in real time by embedding an intelligent scheduling layer and a cross-layer feedback control mechanism; based on a sliding time window and an additional recording queue mechanism, performing isolation and combination on out-of-order data and historical complement data written in the distributed time sequence database; and based on version conflict detection of a vector clock and a latest version priority merging strategy, merging and writing confirmation are carried out on the time sequence data after out-of-order writing and historical additional recording processing. According to the method, a layered write-in path design and a lightweight consistency protocol are adopted, high-concurrency write-in and final consistency guarantee of data are realized aiming at complex scenes such as out-of-order write-in, historical compensation and network jitter, and the write-in performance and reliability of a system are improved.

A system and method for evaluating socio-economic and / or environmental impact automatically identifies and transmits to a user computing device a socio-economic and / or environmental impact web page of an organization. A computer database coupled to a server contains data for various socio-economic and / or environmental impact web pages, defining formatting elements configured to display impact data. The computer database receives a data feed of the impact data from the organization and / or from one or more of the organization's vendors and automatically updates the organization's socio-economic and / or environmental impact web page. The system automatically generates in the socio-economic and / or environmental impact web page, a socio-economic and / or environmental impact quotient depiction representing socio-economic and / or environmental impact of resource allocations of the associated organization. The system uses hybrid input-output, econometric and environmental models to calculate a total economic impact ratio of the SGA (Selling, General & Administrative) costs of the organization on local communities.

Provided is a method for evaluating the seismic margin of a simple and efficient transmission tower. 【Solution means】Based on various data of all the towers G belonging to the tower group G in the computer database 1 lim , m-n , lim , p , p , T ,the static elastic response deformation φ at the top of the tower G caused by the seismic load Q acting on the panel i stacked in the height direction of the tower G m-n is calculated, where the seismic load Q is replaced by the equivalent bending rigidity E·I m-n and the equivalent shear rigidity G·A i of each panel i to form an equivalent cantilever beam model of the tower G i ,and the deformation φ at the top when the web members of the panel i buckle under the seismic load Q si ,the deformation φ at the top when the main column material reaches the compressive endurance limit m-n are calculated from predetermined approximate formulas respectively. The values of the top deformations φ e ,φ i are substituted into a predetermined formula to calculate the elastoplastic response deformation φ y occurring at the top of the tower G,and the ratio φ lim / φ e is calculated as the seismic index value DCR y of the tower G. The above procedure is executed for all the towers.​​​​​​​​​​​​​​

A computer-implemented method for automated data record resolution includes: receiving an unmapped data record comprising a plurality of data fields, wherein at least one data field of the plurality of data fields causes a mapping error between the unmapped data record and a plurality of validated data records; generating, from the plurality of validated records, a resolution candidate record for the unmapped data record based on detecting the mapping error between the unmapped data record and the plurality of validated data records; and automatically re-assigning one or more data records of the computer database that are digitally associated with the unmapped data record to the resolution candidate record.

A computer method and system for grouping similar points in an automation and industrial control system (AIC). Points are identified as references for grouping with other similar points in the AIC. Text attributes associated with the identified points are captured from the AIC. The captured text attributes are embedded into at least one numerical value. Text attributes associated with other points in the AIC are captured from the computer database. The captured textual attributes of each other point are then embedded into at least one corresponding numerical value. The value of the identified point is compared to each value of the other points. Points from other points are grouped with the identified points that are determined to have an embedded value similar to the embedded value of the identified point. A semantic tag is assigned to each grouping point based on a tagging technique.

A computer method and system for grouping like points in an automated and industrial control system (AIC). A point is identified as a reference for grouping with other similar points in the AIC. Captured from the AIC are textual attributes associated with the identified point. The captured textual attributes are embedded into at least one numeral value. Captured from the computer database are textual attributes associated with other points in the AIC. The captured textual attributes for each other point are then embedded into at least one respective numerical value. The numerical value of the identified point is compared with each numerical value of the other points. Points from the other points are grouped with the identified point that are determined to have a similar embedded numerical value to that of the identified point. Based upon a labelling technique, a semantic tag is assigned to each of the grouped points.

A system and method for evaluating socio-economic and / or environmental impact automatically identifies and transmits to a user computing device a socio-economic and / or environmental impact web page of an organization. A computer database coupled to a server contains data for various socio-economic and / or environmental impact web pages, defining formatting elements configured to display impact data. The computer database receives a data feed of the impact data from the organization and / or from one or more of the organization's vendors, and automatically updates the organization's socio-economic and / or environmental impact web page. The system automatically generates in the socio-economic and / or environmental impact web page, a socio-economic and / or environmental impact quotient depiction representing socio-economic and / or environmental impact of resource allocations of the associated organization. The system uses hybrid input-output, econometric and environmental models to calculate a total economic impact ratio of the SGA (Selling, General & Administrative) costs of the organization on local communities.

An automated computer implemented method of deduplicating point of interest of computer implemented database including: standardizing data of a pair of records, wherein equivalent words with different spelling may be normalized to a single spelling; classifying the pair of records into a category of pre-defined address categories; carrying out a category specific determination of non-duplicate and failing to determine that the pair of records may be a category specific non-duplicate; tokenizing the data of the pair of records into a pair of tokenized records; determining that core words of the pair of records are linked by computing scores of cross information and distance; and determining whether the scores pass a pre-determined threshold. An aspect of the disclosure relates to an electronic data processing system, a data processing apparatus, a non-transitory computer-readable medium, and a computer executable code for deduplicating point of interest of computer implemented database.

An asset location identifier system includes a premises having a plurality of assets, a transmitter tag carried within each asset of the plurality of assets, a computer database configured to store the position of each transmitter tag; and a portable computer in data communication with the computer database, the portable computer having a visual display for identifying the location of the transmitter tag.

Systems and techniques are described herein for quantifying carbon compensation by encouraging reuse of a functional article as a decorative article. A unique visual art form created by a user that incorporates at least one consumer product package is received. A digital record is created for the unique visual art form in a computer database. The digital records include at least one first record of art loop events performed based on receiving the unique visual art form. A value is assigned to the art loop event based on an evaluation of visual elements present in the unique visual art form. And adding an amount equal to the value to the account balance of the user.