12 results about "Active database" patented technology

The invention provides a digital intelligent carbon emission integrated measurement management method and platform, and relates to the technical field of carbon emission management, and the method comprises the steps: collecting multi-source carbon emission related data of a target management region through a preset data interface and Internet of Things equipment; correlation and fusion are carried out on multi-source carbon emission related data, and an integrated carbon activity database is constructed; calling a built-in carbon emission factor library, carrying out automatic accounting and dynamic metering on carbon emission of an organization level and a product level, and generating a real-time carbon emission flow map; carbon footprint tracing and hot spot analysis of the whole life cycle are carried out by combining a product bill of material and a production process path, and a key emission link is positioned; and carrying out visual display on the real-time carbon emission flow map and the key emission link. According to the invention, the technical problem that the carbon emission management and control efficiency is further affected due to the fact that a specific emission link cannot be positioned due to data islands and post accounting in the prior art is solved.

The application provides a game activity configuration method and device, electronic equipment and a storage medium. The game activity configuration method comprises: confirming a configuration table corresponding to a game activity to be configured, the configuration table containing first activity data corresponding to the game activity and being visualized, at least part of the first activity data in the configuration table being selected from a preset activity database; generating a code file corresponding to the game activity according to the configuration table, the code file comprising second activity data corresponding to the first activity data and readable by a preset game activity program; and initializing the game activity according to the code file. The game activity configuration method of the embodiment of the application can realize content modification and deployment of the game activity while reducing the involvement of the developer, reduce the labor cost of game activity configuration, and improve the efficiency of game activity update iteration.

A method for providing health record data includes receiving data from a user, generating a victim dataset from the data, and storing the victim dataset in a victim identification database. The method can also include retrieving from a private database at least one set of private information based on the victim dataset wherein the at least one set of private information matches the victim dataset with a predefinable probability. For each set of the at least one set of private information, activity information from a list of activity databases can be collected. At least one set of aggregated information can be generated that can include private information and activity information associated with the at least one set of private information. At least one set of aggregated information can be selected that best matches the victim dataset for data retrieval.

The invention relates to the technical field of boutique course recommendation, and provides an information technology supported boutique course personalized recommendation method and system, and the method comprises the steps: obtaining the historical consumption record and budget range data of a learner, and calculating the economic bearing capability level; extracting courses matched with the learning target, and generating a preliminary candidate set in combination with payment preference information; querying a preferential activity database for the courses exceeding the economic bearing capacity level, and generating an optimized cost scheme set; obtaining the consumption tendency of the user group similar to the payment preference information, and generating a personalized recommendation combination; obtaining duration and content dimension data of the personalized recommendation combination, and generating a sorted recommendation list; and dynamically adjusting the payment mismatching items in the sorted recommendation list to obtain a final accessible course recommendation result. According to the method, accurate matching of economic ability and learning requirements is realized, the personalized level and economic accessibility of course recommendation are improved, and an efficient and economic learning path is provided for learners.

The application provides an abnormal situation warning method based on target activity frequency regularity, belongs to the field of intelligence reconnaissance, and is particularly in the situation analysis stage. The method extracts the target activity frequency regularity from the target historical activity database according to the time and date, corrects the warning parameters and the activity frequency threshold value in combination with the experience data of commanders, calculates the target monitored in real time, judges whether the activity frequency of the target at the current time and date exceeds the activity frequency threshold value, and generates threat warnings of different levels. The application can automatically monitor the activity frequency of the target of interest based on the historical activity data of the target, generate threat warnings, improve the efficiency of threat research and judgment, can be used in the field of situation analysis, and supports threat early warning analysis on enemy behaviors.

Systems and methods of loopback control in multi-active database synchronization are provided. A first database instance and a second database instance are configured with two-way synchronization. A synchronization tool detects a first log change in a first operation log associated with the first database instance. The first log change includes a first operation entry associated with a first data operation on a first data record in the first database instance. The first data record includes a first synchronization tag field comprising a first source tag representing a first data source associated with the first data operation on the first data record. If the source tag contains the identification of the second database instance, the synchronization tool skips the first operation entry, without synchronizing the first data operation to the second database instance to avoid data loopback.

Disclosed is a malware detection system that employs behavior-based malware detection to detect malware within a target computing device. The system comprises a data collection module for capturing processing activity within the target device, an activity database for storing the captured activity data in samples, a comparison module for comparing the activity data pertaining to a sample against behavior-based malware behaviors listed within a behavioral database, a sample ranking module for assigning multiple sample ranks to the sample upon match, and a batch ranking module for assigning multiple ranks to a sample batch wherein, a batch rank is a function of corresponding sample ranks. The target device is deemed to be malware infected in the event of the batch rank being beyond threshold limit, at which point, the system is configured to issue a malware-detection notification.

Systems and methods for enhancing the Connectivity Fault Management (CFM) protocol defined in IEEE 802.1Q are provided. In particular, a method includes receiving one or more messages associated with a link connectivity protocol that for detecting link connectivity issues of an Ethernet service in a section of a network and responding to the link connectivity issues; and maintaining two databases for learning nodes in the network based on the received one or more messages, the two databases including an active database and an isolated database.

The invention discloses a data batch processing method and device, electronic equipment and a storage medium, and relates to the technical field of big data or other related technical fields, and the method comprises the following steps: obtaining a batch processing task, and calling an active-active database; independent batch processing is carried out through the active-active database, the processing states of the first database and the second database are monitored in real time, and a first batch processing result and a second batch processing result are obtained; based on the processing states of the first database and the second database, the first batch processing result and the second batch processing result, determining whether the active-active database is abnormal or not; and under the condition that the active-active database is not abnormal, determining that execution of the batch processing task is completed, and generating a batch processing result based on the first batch processing result and the second batch processing result. According to the method and the device, the technical problem of relatively low business decision accuracy caused by data verification deficiency of a database architecture in a main / standby mode in the related technology is solved.

The invention relates to the technical field of database resource management, in particular to an active-active database disaster recovery method and device based on shared storage, equipment and a medium. A database mounted on each database instance is connected with a local storage, a city-wide storage and a far-end storage, if the type of the write access is a new operation, new data is written into the local storage connected with the local database, a new redo log of the new data is sent to the city-wide storage, and the new redo log is asynchronously sent to the far-end storage; and the remote database reads the newly-added redo log from the remote storage and generates a copy of the newly-added data. Data storage is divided into local storage, intra-city storage and far-end storage, after redo is sent to the intra-city storage, it is considered that a transaction is completed, then a redo log is sent to the far-end storage in an asynchronous mode, the transaction does not need to wait for the redo log to be transmitted to the far-end storage and then submitted, and delay caused by transmission of the redo log between two database management systems is avoided.

Computer-implemented methods and system update an active database with ITOM data by: (a) loading ITOM data, collected by an ITOM platform, from a cloud storage bucking to a first (staging) database; (b) loading the ITOM data from the first (staging) database to a second (raw) database; (c) determining, by an engine running on a server, whether data in the active database should be updated with data from the second (raw) database; and (d) repeating steps (a)-(c) according to a schedule.

Embodiments relate to secure multi-user biometric template authentication (MBTA) for mobile computing devices. In an embodiment, a request to generate a biometric template (BT) associated with an end user is generated via a first mobile computing device associated with an MBTA system. In response to the request, biometric data associated with the end user is collected and a BT associated with the end user is generated based on the biometric data. In embodiments, a personal identification number (PIN) is generated and associated with the BT related to the end user. The BT and / or the PIN associated with the end user are stored in an active BT database and / or an active PIN database respectively. MBTA data associated with the active BT database and / or the active PIN database is transmitted for storage on a plurality of mobile computing devices that are different than the first mobile computing device.