16 results about "Usage analysis" patented technology

The application discloses a kind of operating room consumable use analysis method and system, it is related to medical instrument management technical field, method includes: obtaining operation video and force data in surgical instrument operation process;According to the force data, generate operation reference;According to the force data and the operation reference, identify key mechanical event and target timestamp;According to the target timestamp, extract the video frame corresponding to the key mechanical event from the operation video;Determine the two-dimensional position of surgical instrument tip on the video frame;According to the two-dimensional position of surgical instrument tip, generate target anatomical position in three-dimensional medical image model;According to the target timestamp, the force data and the target anatomical position, generate event evidence chain.The application realizes consumable use analysis, and improves accuracy.

One objective of the embodiments of the present invention is to accurately calculate the actual usage of applications, including cloud infrastructure, by users and enable reasonable pricing. To achieve this, a method for presenting application usage data according to one embodiment of the present invention is a method for analyzing and presenting application usage data, comprising the steps of: receiving usage analysis data relating to the usage of an application to be analyzed running on a user device from each of a plurality of user devices belonging to an organization, wherein the usage analysis data is collected by a usage analysis application running on each of the plurality of user devices based on the display state of the graphical user interface (GUI) corresponding to the application running on the user device; generating statistical data relating to the usage of the application to be analyzed based on the usage analysis data collected from each of the plurality of user devices; and presenting the statistical data to a designated device.

The application discloses a distributed database index recommendation monitoring system and method, belongs to the field of distributed databases, and aims to solve the technical problem of how to perform real-time feedback on analysis recommendation functions, establish a closed loop index, and guarantee the health and efficiency of database indexes. The technical scheme adopted is as follows: the structure comprises an index analysis recommendation module, an index suggestion modification application module, an index usage monitoring module, an index usage analysis module, an index report generation module, and a self-adaptive index suggestion optimization module; the index analysis recommendation module is used to start from unhealthy statements, check related tables, access patterns, predicate categories and related fields, and propose candidate indexes based on each SQL statement according to a candidate index generation algorithm; after the generation of the candidate indexes that need to be created, the effectiveness of the candidate indexes is verified through two steps; the two steps specifically refer to verifying the benefits of the indexes on a single SQL statement and verifying the benefits of the indexes on all affected statements under the overall application load.

One objective of the embodiments of this disclosure is to enable reasonable pricing based on the actual usage of each account for applications, including cloud infrastructure. To this end, a method for assigning an account tier based on application usage according to one embodiment of this disclosure includes the steps of: calculating the application usage of the account in a first period by receiving usage analysis data for a first period from each of one or more user devices associated with the account for one or more pre-specified monitored applications; and determining whether to assign the account to a paid account or a free account in a second period following the first period, based on the application usage of the account in the first period.

An object of a system according to an embodiment is to select an appropriate analysis technique based on data provided by a user and provide an analysis result in an easy-to-understand report format.SOLUTION: A system according to an embodiment includes a data providing unit, an analysis technique selection unit, an analysis result generation unit, and a report providing unit. The data provider receives data from a user. The analysis technique selection unit selects an appropriate analysis technique based on the data received by the data provision unit. The analysis result generation unit analyzes the data using the analysis technique selected by the analysis technique selection unit and generates an analysis result. The report providing unit provides the analysis result generated by the analysis result generation unit in a report format.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of furniture, and provides an integrated power supply and control electric lifting table system, which comprises a central power supply and control module, a historical use analysis unit, a clustering algorithm based on historical use data of an electric lifting table, a common height which is not preset is extracted and marked as a hidden preference height, and the central power supply and control module is connected with the central power supply and control module; marking the remaining common heights as dominant preference heights; the use pattern analysis unit is used for carrying out use activity analysis and preference migration analysis on the dominant preference height; usage activity analysis is used to assess usage effectiveness and identify high frequency active height and low frequency idle height. Through an intelligent closed-loop system composed of a historical use analysis unit, a use mode analysis unit, an evaluation decision module and a dynamic optimization execution unit, the memory function has perception-cognition-decision-optimization capabilities.

The invention relates to a configuration metadata use analysis method and device, electronic equipment and a storage medium, and relates to the technical field of computers. According to the method and the device, the read-write request detail data, the subscription detail data and the configuration metadata involved in system operation are uniformly acquired and analyzed, so that the use state of the configuration metadata can be dynamically monitored from multiple dimensions. Different types of feature tags are correspondingly output and associated to specific configuration items by identifying read-write anomalies, magnitude load features and cross-source access features, so that accurate positioning of potential abnormal configuration, performance bottlenecks and cross-source risks is realized, the use visualization degree of configuration metadata and problem positioning efficiency are improved, and the problem positioning efficiency is improved. And a structured decision basis is provided for subsequent system optimization and configuration adjustment, so that the stability of system operation and the resource use efficiency are remarkably improved.

The invention discloses a BIOS firmware intelligent update recommendation system. The system comprises hardware configuration detection, user condition analysis, version matching and recommendation and intelligent update recommendation system website establishment. Through comprehensive hardware configuration detection and user use condition analysis, high-individuation BIOS updating recommendation can be provided according to the specific system environment and requirements of each user, the individuation recommendation mechanism greatly improves the recommendation accuracy, it is ensured that the updated version received by the user is most matched with the system of the user, and the user experience is improved. And the risk of incompatible or invalid updating is reduced.

The invention relates to the field of data analysis, in particular to a parking lot data analysis system based on the Internet of Things, which comprises an initial recommendation module used for carrying out initial evaluation on use recommendation indexes of recommendation analysis areas and determining whether recommendation evaluation analysis is carried out on the recommendation analysis areas or not; the evaluation analysis module is used for carrying out recommendation evaluation analysis and determining whether regional load analysis and regional use analysis are carried out or not according to the regional charging load parameters; the load analysis module is used for determining whether to adjust the use recommendation index or not according to the charging demand difference parameter; the use analysis module is used for determining whether existing use analysis or confluence use analysis is carried out according to the key reference user proportion index and determining whether adjustment is carried out according to the use recommendation index; and the recommendation execution module is used for determining a recommendation execution area of each target recommendation user based on the recommendation priority coefficient. According to the invention, the data analysis efficiency and analysis quality of the parking space recommendation process are improved.

The present application belongs to the technical field of furniture, and provides an electric lifting table system integrated with power supply and control, comprising a central power supply and control module: a historical use analysis unit, based on historical use data of the electric lifting table, performing analysis through a clustering algorithm, extracting a commonly used height not preset and marking it as an implicit preference height, and marking the remaining commonly used heights as explicit preference heights; a use mode analysis unit, performing use activity analysis and preference migration analysis on the explicit preference heights; use activity analysis is used for evaluating use effectiveness and identifying high-frequency active heights and low-frequency idle heights. Through an intelligent closed-loop system composed of a historical use analysis unit, a use mode analysis unit, an evaluation decision module and a dynamic optimization execution unit, the memory function has the ability of perception-cognition-decision-optimization.

An object of a system according to an embodiment is to propose an optimal fee plan based on a usage status and a budget of a user.SOLUTION: A system includes a use state analysis part, a budget analysis part, and a proposal part. The usage situation analysis unit analyzes a usage situation of a user. The budget analysis unit analyzes a budget of a user. The proposal unit proposes an optimal fee plan based on the results analyzed by the use status analysis unit and the budget analysis unit.SELECTED DRAWING: Figure 1

To provide a railroad use situation analysis device, a railroad use situation analysis method, and a railroad use situation analysis program, capable of acquiring and utilizing movement information of a passenger using a plurality of railroad companies.SOLUTION: The railway use status analysis device 10 includes a data acquisition unit 11 and a data linking unit 13. A data-acquiring part 11 acquires data-including two latch transfer data-passing through a second ticket gate after going out of a first ticket gate as ticket gate passing data-passing through ticket gates 20a, 20b and 20c of a railroad station for each passenger. The data-linking unit 13 links the ticket-gate pass-data 14a acquired by the data-acquiring unit 11 and information 14b to 14f relating to railway stations.SELECTED DRAWING: Figure 1

To facilitate the analysis of meeting area usage. [Solution] The usage status analysis system 1 comprises a first acquisition unit 11, a second acquisition unit 12, a third acquisition unit 13, and a data generation unit 14. The first acquisition unit 11 acquires reservation information regarding the reservation status of the meeting area from the reservation system 30. The second acquisition unit 12 acquires user number information, including the detection result and detection time of the number of people present in the meeting area, from the sensor system 40. The third acquisition unit 13 acquires meeting area information, including at least the user capacity of the meeting area. Based on the reservation information and user number information for the target period, the data generation unit 14 determines whether or not a meeting area is reserved at the time when people were present in the meeting area. The data generation unit 14 generates usage status information, which includes at least the user number information for the target period, meeting area information, and the determination result of whether or not a meeting area is reserved.

The invention is suitable for the technical field of building energy consumption simulation, and provides a BIM-based building energy consumption simulation method and system. The method comprises the following steps: acquiring enclosure structure data of a target simulated building; obtaining related meteorological data; performing personnel entry monitoring on the target simulation building, and performing building internal use analysis to obtain internal use data; heat supply analysis is conducted, and the building heat supply amount is calculated; and based on the building heat supply amount, building energy consumption comprehensive simulation is carried out to obtain energy consumption simulation data. According to the building energy consumption comprehensive simulation system, building envelope data and related meteorological data can be obtained, personnel entry monitoring and building internal use analysis are carried out, internal use data are obtained, heat supply analysis is carried out, building heat supply amount is calculated, building energy consumption comprehensive simulation is carried out, effective building energy consumption simulation can be carried out under the condition that historical power consumption data does not exist, and the building energy consumption comprehensive simulation efficiency is improved. Therefore, a reasonable energy consumption prediction and optimization basis is obtained, and a basis is provided for a subsequent accurate and reliable energy-saving decision.

This invention discloses a method and system for calculating vehicle online time. This invention solves the problem in existing technologies where it is difficult to automatically and reliably extract vehicle power on / off signals and accurate timestamps from vehicle data packets to achieve efficient time calculation. The method includes: acquiring data packets from the vehicle's on-board terminal; parsing the data packets to extract a sequence of switching signals representing the vehicle's power on / off state and a timestamp corresponding to each switching signal; identifying a first type of signal representing power on and a second type of signal representing power off from the switching signal sequence, and obtaining their respective timestamps; calculating the vehicle's online time based on the timestamps of the first and second types of signals. This invention achieves automated statistics of vehicle online time without relying on additional hardware or manual recording, offering high efficiency and reliability, and providing effective data support for vehicle usage analysis and operation and maintenance management.

The invention discloses a project redundancy dependency detection method and device fusing bytecode and source code analysis, and the method comprises the steps: firstly obtaining direct dependency from input project data, and constructing a dependency-class knowledge base; then, performing byte code level analysis of classes and methods on the compiled project data by adopting a preset byte code framework, and extracting a visible calling relationship during operation; analyzing the input item data by adopting a source code analysis method based on an abstract syntax tree to obtain a calling relationship which cannot be reflected by byte codes; analyzing the jar file of the input project data by adopting a preset tool, and generating a calling relationship between classes and methods in the project; and finally, according to the calling relationship extracted in the previous step and the dependency-class knowledge base, identifying the used dependency and the redundant dependency. According to the method, a redundant code recognition mechanism is combined in the redundant dependency detection process for the first time, fusion of dependency analysis and code use analysis is achieved, and the accuracy and comprehensiveness of redundant dependency detection are improved.