36 results about "Position analysis" patented technology

The invention relates to the technical field of building construction intellectualization, in particular to a cement mixing pile automatic grouting control method, device and equipment and a storage medium, and the method comprises the steps that to-be-grouted positions are obtained, and corresponding to-be-grouted parameter information is obtained according to each to-be-grouted position; acquiring corresponding grouting amount data and grouting inclination angle data from each piece of to-be-grouted parameter information; a grouting starting instruction triggered according to the to-be-grouted parameter information is obtained, the grouted flow and Beidou position information are obtained in real time, real-time monitoring is conducted according to the grouted flow and the Beidou position information, and grouting monitoring data are obtained; performing real-time grouting analysis according to the grouting monitoring data to obtain a corresponding grouting analysis result; and a grouting adjustment control instruction is generated according to the grouting position analysis result and / or the grouting amount analysis result. The intelligent cement mixing pile grouting control system has the effect of improving the intelligence of the cement mixing pile during grouting so as to realize accurate control of the grouting amount.

The invention discloses a strategic recommendation method and device, and relates to the technical field of intelligence analysis tools, the method is applied to a computer device capable of calling a knowledge base and a large model, and the method comprises the following steps: retrieving an obtained text fragment based on an input request of a user; based on the input request, calling a large model to carry out site analysis on the input request to obtain a site analysis result; based on the input request, the text fragment and the standing analysis result, calling the large model to combine with the text fragment to perform qualitative analysis on the standing analysis result, and outputting a qualitative analysis result; based on the input request and the qualitative analysis result of the dictionary format, determining an optimal feature vector of the dictionary format by using an analytic hierarchy process; and on the basis of the optimal feature vector, four-quadrant analysis data of each strategy is calculated by using a four-quadrant analysis method, and then optimal strategy pushing is completed. According to the method, qualitative analysis, an analytic hierarchy process and a four-quadrant analysis method are combined, development strategic intelligence analysis is carried out according to requirements input by a user, and strategic suggestions are generated.

The invention discloses a motor stator and rotor magnetostatic multi-dimensional shape and position analysis and evaluation method and device, and the method comprises the steps: fixing a motor stator in a magnetostatic state, employing a four-quadrant orthogonal loading mechanism, manually applying an axial / radial combined load to a rotor, simulating the load of the motor in actual work, fixedly connecting a laser to the output shaft of the rotor, and carrying out the measurement of the output shaft of the rotor. And the laser is used for imaging on the photosensitive imaging plate and drawing the rotating track of the rotor. For the load in each direction, the inclination angle theta i of the stator and the rotor of the motor is calculated according to the laser imaging track; and according to the time difference and the position difference of the laser imaging points before and after the load is applied, the axial offset delta Xi and the radial eccentric distance delta Yi are calculated. The system performs statistical processing on four-direction load data through an adaptive weighting algorithm, and outputs a form and position deviation mean value # imgabs0 # # imgabs1 # to establish a method for evaluating the form and position of the stator and the rotor of the motor. According to the invention, high-precision synchronous detection of the multi-dimensional form and position deviation of the stator and the rotor is creatively realized in a static magnetic state.

The invention discloses a batch geographic position analysis method, a position recommendation system, a position recommendation device and a medium, and the method specifically comprises the steps: obtaining all interest sites of all user targets in a current batch, removing repeated items in the interest sites, and obtaining a unique interest set composed of a plurality of unique sites; establishing a reverse index between the unique place and the user target associated with the unique place; obtaining the closeness degree of each unique place and the to-be-recommended position; based on the reverse index, backfilling the closeness degree to the user target associated with the corresponding unique place; and comparing the degree of closeness obtained by backfilling each user target, and determining the optimal location of each user target according to the comparison result. According to the batch geographic position analysis method provided by the embodiment of the invention, the data processing complexity of batch geographic position analysis in the data processing process is reduced, the number of repeated calculations is remarkably reduced, and the throughput and scalability of the system are greatly improved.

The invention discloses a problem positioning analysis method and device, equipment and a medium, and relates to the field of cloud storage. Comprising the following steps: constructing a knowledge graph based on data of a plurality of databases in a cloud storage system; based on the knowledge graph, training a to-be-trained graph attention network to obtain a trained graph attention network, the trained graph attention network carrying knowledge in the knowledge graph; in the testing process of the cloud storage system, determining a target task with a failed task, and obtaining task information corresponding to the target task; and inputting task information corresponding to the target task into the trained graph attention network to obtain a failure reason of the target task. By means of the method, the efficiency of positioning personnel in the aspect of problem positioning can be remarkably improved, and then the testing efficiency and accuracy are improved.

The invention provides a measuring and adjusting method for installing a steel structure stand column group. The measuring and adjusting method comprises the following steps that S1, a measuring and positioning tool is manufactured according to the shape of a stand column; s2, measurement analysis and adjustment work: establishing an upper elevation datum plane and a lower elevation datum plane; an upper measuring and positioning tool and a lower measuring and positioning tool are arranged on the stand column in the same direction on the side surface of the stand column; sequentially measuring the prisms on the two measurement positioning tools on each stand column through a total station to obtain three-dimensional coordinates of working points of the prisms; according to the three-dimensional coordinates, the perpendicularity and the inclination direction of the stand column are calculated, whether the perpendicularity of the stand column meets the requirement or not is analyzed, if not, installation of the stand column is adjusted according to the perpendicularity and the inclination direction of the stand column, and then measurement and adjustment are conducted again; and S3, plane position analysis and rechecking: simultaneously installing a measuring and positioning tool on a plurality of upright posts, enabling the measuring and positioning tools to be positioned on the same elevation plane, installing a prism, measuring by using a total station to obtain a three-dimensional coordinate of a prism working point, and calculating and verifying the horizontal distance of the upright posts.

The application discloses a large-scale attack monitoring method and system based on real-time calculation, and the method comprises the following steps: acquiring log data; analyzing the log data through a distributed stream processing platform; analyzing two-stage analysis based on C-segment common attack sources; generating a first attention list according to the attack times of objects, obtaining the physical position of the attacked objects through position analysis, and obtaining the C-segment range to which the IP addresses of the attacked objects belong through threat intelligence library correlation; performing trend analysis on attack data in a first preset time period based on the first attention list information, and predicting the next attack time of the attacked objects; and performing correlation analysis on the whole network to obtain other attacked areas. The application realizes real-time calculation through three analysis methods, quickly and accurately identifies abnormal behaviors and attack modes, improves the accuracy and real-time performance of alarm data, and performs correlation analysis on attack sources, attack means and attacked business systems, integrates commonalities, and quickly forms disposal suggestions.

The application discloses a locomotive crossing judgment system and implementation method, and belongs to the technical field of rail transit operation safety. The system comprises a value-keeping filtering unit, a position analysis unit, a distance calculation unit, a region judgment unit, a direction identification unit, an interval matching unit and a dynamic scanning unit. Through real-time analysis of locomotive positioning data, combined with line direction and region attribute, spatial interval matching and direction shunting are carried out, the current running direction is identified, and based on the dynamic scanning mechanism, subsequent crossings are traversed, and a judgment function is called to realize crossing state confirmation. The system introduces a logic fuse mechanism to improve the discrimination stability under abnormal scenes. Compared with the traditional scheme relying on fixed signals or manual observation, the system has good real-time performance, adaptability and engineering deployment efficiency, and can be widely applied to railway and urban rail transit safety auxiliary judgment scenes.

A system and method for Global Navigation Satellite System (GNSS) accuracy improvement for GNSS devices using a novel GNSS positioning system that leverages networked optimization for enhanced accuracy. GNSS measurements from multiple devices form the foundation for a massive pairwise optimization approach. This fuels a self-reinforcing cycle, wherein Real Time Kinematic pairwise optimizations support Precise Point Positioning analysis. Improved PPP calculations in turn refine RTK optimization, rapidly iterating towards convergence. The PPP-RTK feedback loop refines positions iteratively, culminating in precise user locations. This method capitalizes on the interplay between PPP and RTK techniques within a networked context, offering a powerful solution for real-time, high-precision positioning applications.

The present invention discloses a data analysis management method and system based on digital intelligence engineering, which relates to the field of data analysis management technology, including performing position analysis on a data set to be managed and determining the position of a first data to be filled. The present invention first determines the position of the first data to be filled, then determines the position of the abnormal data, and sets the position of the abnormal data to be the position of the second data to be filled. Finally, the data set to be filled is calculated by Euclidean calculation to obtain a first data similarity set and a second data similarity set, and the first data similarity set and the second data similarity set are selected and calculated to obtain first filling data and second filling data. In order to avoid the calculated first filling data and second filling data being abnormal data, the first filling data and the second filling data are verified to determine a normal data set. The above method not only realizes the filling and modification of missing data and abnormal data, but also shortens the data call time of digital intelligence engineering.

The application discloses a context knowledge construction method and device based on industrial point position analysis, equipment and a storage medium, relates to the technical field of artificial intelligence, and comprises the following steps: performing alias normalization on the field names of an industrial field original point position table, obtaining standardized point position data, arranging semantic attributes, generating point position audit data after association, identifying the correlation between points, generating relationship audit data, and storing the relationship audit data in a point position knowledge base and a relationship knowledge table respectively; receiving a search request containing a factory identifier and a point position identifier to be analyzed, searching for corresponding point position knowledge based on the factory identifier, and obtaining an input point position set; searching for associated records in the relationship knowledge table, completing associated point position knowledge, and obtaining an associated point position set; and combining the input point position, the associated point position and the relationship record, generating structured context containing semantic information and analysis prompts, and using the structured context for industrial data analysis, so that the efficiency of constructing context knowledge is improved.

The application provides a system and method for classifying and opening / closing vehicle information collection equipment according to vehicle position, which comprises a positioning module, a position analysis module, a storage module and a vehicle control module; the positioning module obtains current position information of the vehicle through a satellite system such as Beidou / GPS, and transmits the position information to the position analysis module; the storage module stores a position database, which contains sensitive restriction levels set for different locations; the vehicle control module is used for controlling the information collection equipment of the vehicle; the position analysis module matches the position information with the content of the position database to find out the sensitive restriction level corresponding to the position information; and the control module controls the running state of the information collection equipment of the vehicle according to the sensitive restriction level, so that different sensitive level settings are realized at different locations, and the vehicle is ensured not to violate the requirements of regulations.

The application relates to the technical field of intelligent precious metal warehouse management, in particular to a gold bar warehouse-in and warehouse-out management method, system, device and storage medium. The method comprises the following steps: acquiring the shape and pattern features of the warehouse-in gold bar through scanning, inputting a database of pre-stored gold bar standard features, categories and counter number mapping relationship, matching and searching, and controlling the corresponding counter to be opened to complete the warehouse-in; receiving a warehouse-out request, confirming the category of the gold bar to be taken out through manual input or image scanning, searching for the corresponding un-locked warehouse-out counter, screening the counter closest to the current scanning area through position analysis, and controlling the counter to be opened to complete the warehouse-out. The application realizes the automatic and accurate association of the gold bar and the counter, reduces the manual error, improves the warehouse-in and warehouse-out efficiency, avoids the storage disorder and inconvenience in taking, relies on the whole-process data management and control to guarantee the management standard, safety and traceability, and adapts to the strict requirements of high-value gold bar management.

The invention relates to the technical field of intelligent control, in particular to a whole house intelligent control system based on an intelligent host. The system comprises an operation data acquisition module which is used for acquiring a control operation record of each intelligent device in the whole house intelligent control system and constructing a control operation vector of each intelligent device; the privatization analysis module is used for determining a privatization coefficient of each intelligent device; the position analysis module is used for constructing a position change vector of each intelligent device; the identification degree analysis module is used for determining the operation change amplitude of each intelligent device; determining the personal behavior identification degree of each intelligent device in combination with the privatization coefficient, the position change vector and the operation change amplitude; and the equipment parameter determination module is used for performing spline interpolation processing between every two operations, extracting a user portrait by using the processed data, and obtaining the optimal control parameter of the corresponding intelligent equipment. According to the invention, a more personalized and effective smart home control strategy is generated.

The invention discloses a data sharing method and system based on a block chain, and relates to the technical field of data analysis processing, and the method comprises the steps: obtaining to-be-shared data, carrying out the data analysis processing of the to-be-shared data based on an intelligent analysis terminal, and obtaining equal-length to-be-shared data; based on the intelligent analysis terminal, performing data analysis processing on the equal-length to-be-shared data, and determining insertion data parameters; and based on the intelligent analysis terminal, performing position analysis on the equal-length to-be-shared data, and determining a parameter insertion position. According to the invention, the to-be-shared data is subjected to data segmentation through the data calculation module, the data processing module and the data analysis module, so that the to-be-shared data is subjected to block sharing, the to-be-shared data is prevented from being completely leaked when a certain node of the block chain is invaded, in addition, the to-be-shared data is encrypted, and when part of the to-be-shared data is leaked, the to-be-shared data is encrypted. And an intruder cannot extract internal information, so that the security of the to-be-shared data is further ensured.

The invention relates to the technical field of cable data setting, and discloses a pressure-resistant coaxial cable torque threshold setting method based on big data, which comprises the following steps: acquiring use information of a target cable, correspondingly performing general analysis and special analysis according to whether the use information of the target cable exists, marking the target cable according to an analysis conclusion, and setting a pressure-resistant coaxial cable torque threshold according to the marked target cable. According to the pressure-resistant coaxial cable torque threshold setting method based on the big data, through geographic information coupling, damage tolerance design and a three-level threshold system, the cable failure risk is reduced, the safety is improved, 'one-step 'scrapping is avoided, degradation recycling of I-III level damaged cables is achieved, the operation and maintenance cost is saved, and on the basis of the big data and distributed monitoring, the pressure-resistant coaxial cable torque threshold setting method based on the big data has good application prospects. Three-stage progression of intelligent decision making, unified analysis, division analysis and position analysis is realized, fine management is realized, time decay correction and fatigue life prediction are introduced, the whole process of cable delivery to retirement is covered, and full life cycle management is realized.

The invention discloses a municipal facility clustering management method and system based on a smart city, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the position analysis processing of a municipal facility distribution map, and determining a municipal facility centralized region; and carrying out position determination processing on the municipal facility centralized area, and determining the management center position of the municipal facilities. The method comprises the following steps: performing coordinate analysis on a municipal facility distribution map to determine coordinate data of each municipal facility, performing distance comparison on the coordinate data of each municipal facility to determine a municipal facility concentration area, performing position analysis on the municipal facility concentration area to determine a management center position of the municipal facilities, and finally, determining the management center position of the municipal facilities. According to the method, the communication network is constructed for each municipal facility according to the management center position of the municipal facilities, the clustering management of all the municipal facilities is realized at the minimum laying cost through the management center position of the municipal facilities, and the management cost of the municipal facilities is reduced.

The invention relates to the technical field of computer vision, in particular to a video analysis-based high-altitude operation safety belt correct use state identification method. According to the method, the coordinate change of the body of the operator and each key position of the safety belt in the continuous video frame is captured, the dynamic space-time correlation between the two is established, and the complex motion mode of the operator is classified and identified according to the speed and direction change, so that the method is not limited to static posture and position analysis; according to the method, whether effective contact is formed between a body part and a safety belt key point or not is accurately judged by utilizing the space distance difference and the motion direction consistency between the body part and the safety belt key point, and the connection stability is quantified by calculating the space relation fluctuation amplitude of a contact area in continuous time, so that whether the safety belt is in a reliable closed state or not can be accurately judged; and finally, the high reliability and accuracy of the identification conclusion in the dynamic operation environment are ensured by combining with the continuous state judgment result in the time sequence.

The present application discloses a method, system, and computer system for managing policy configurations. The method includes (i) receiving a set of predefined security policy rules, (ii) determining, based at least in part on the set of predefined security policy rules, one or more security policy rules that do not satisfy one or more predefined requirements, (iii) performing a priority or position analysis to determine a relationship among a plurality of security policy rules, and (iv) providing a report pertaining to the one or more security policy rules.

The present application relates to the technical field of sensor of motion control system, especially to a resolver shaft angle software decoding method, specifically comprising the following steps: S1: generating a high-frequency excitation signal Usinωt by a microprocessor and applying the signal to a primary winding of a resolver; S2: correcting the amplitude and phase of an output signal of a secondary winding of the resolver; S3: connecting the resolver sine and cosine winding output signals kUsinωt*sinθ and kUsinωt*cosθ to the reference input terminals of a four-quadrant DAC respectively, connecting the digital sine and cosine signals sinφ and cosφ generated by the angle φ to the digital input terminals of the four-quadrant DAC respectively, and the four-quadrant DAC outputs the analog signals kUsinωt*sinθ*cosφ and kUsinωt*cosθ*sinφ obtained by multiplication respectively; S4: performing position analysis on the resolver output signal and outputting corresponding angle information. The present application provides a resolver software decoding method based on a four-quadrant DAC, and solves the technical problems of high cost and low precision in the current rotor position determination process.

The invention discloses a method and system for predicting the service life of a steel structure anticorrosive coating based on data analysis, and relates to the technical field of data analysis processing, comprising the steps of performing position analysis processing on geographic information of a position where a steel structure is located, and determining a layering standard of the steel structure. According to the method, the steel structure installed in seawater is layered according to the geographic information of the position of the steel structure, then the thicknesses of the steel structure anticorrosive coatings with different depths are calculated, the corrosion speeds of the steel structure anticorrosive coatings with different depths are determined, and finally the corrosion speed of the steel structure anticorrosive coatings with different depths is calculated. The real-time thickness of the steel structure anti-corrosion coating is calculated according to the corrosion speed of the steel structure anti-corrosion coating, the remaining service life of the steel structures with different depths is obtained, the remaining service life of the steel structures can be recorded in real time, when the remaining service life of the steel structures is too short, the steel structures can be thickened in time, and the service life of the steel structures is prolonged. And seawater is prevented from corroding the steel structure, the service life of the steel structure is prolonged, and meanwhile, the risk of collapse of a steel structure supporting object is reduced.

The invention relates to a multi-mode switching monitoring system based on level analysis, and the system comprises a damper which is disposed at the output end of a motor, is located between the motor and a load, and outputs damping to change the load; the data monitoring module is used for acquiring parameters during operation of the motor according to a passive monitoring mode or an active monitoring mode; the analysis module is used for carrying out feature extraction on the motor operation parameters, carrying out anomaly comparison, matching and executing corresponding analysis schemes in a chain analysis strategy according to a preset selection strategy, and matching a next analysis scheme based on a comparison result of a previous analysis scheme; the simulation module is used for reproducing and obtaining the reference parameters in the analysis scheme, the obtained reference parameter waveform serves as the comparison basis of abnormality judgment, and the abnormality type of the motor is accurately recognized through cooperation of damper adjustment, multi-mode monitoring and a progressive analysis scheme.

The application relates to the field of data detection and analysis, in particular to a bus encoder detection method and system, electronic equipment and a storage medium. The method comprises the following steps: obtaining a target communication data protocol package between a bus encoder and a servo driver, and adding the target communication data protocol package to a listening protocol package array; when the number of protocol packages in the listening protocol package array meets a preset number, sending the protocol packages in the listening protocol package array to a to-be-analyzed protocol package array; performing position analysis on the protocol packages in the to-be-analyzed protocol package array, and obtaining target position information corresponding to each protocol package; calculating a relative position change amount of adjacent positions according to a plurality of target position information; and based on the plurality of target position information, drawing a first curve for display, and according to the relative position change amount, drawing a second curve for display. The application can quantize the jitter range of the real-time relative position of the bus encoder, so as to ensure the production consistency of the bus encoder.

The invention relates to the field of hydroelectric generating set monitoring, in particular to a real-time inversion method and device for a digital shafting attitude of a hydroelectric generating set. According to the method, the sensors are arranged on the shafting key section corresponding to the digital model, and the data are synchronously acquired, so that the limitation of traditional single-point or local monitoring is broken through, the multi-position dynamic characteristics of the shafting can be covered, and the problem of position analysis limitation in the prior art is solved. And secondly, the original throw data is subjected to targeted filtering and noise suppression processing, so that null drift and power frequency interference are effectively filtered out, the data precision is improved, and the defect of low precision in the prior art is solved. And finally, on the basis of the purified throw data, the axis and cross section attitude is solved through a fitting or interpolation method, full-height shafting attitude parameters can be directly obtained, complex operation is not needed, the real-time performance of inversion is guaranteed, meanwhile, the comprehensive inversion capability of complex dynamic attitudes is also enhanced through combined solving of multi-section data, and the method is suitable for large-scale popularization and application. The problems of insufficient real-time performance and limited inversion capability in the prior art are solved.

The present invention provides a sensor installation position analysis method and a sensor installation position analysis program for more efficiently monitoring and managing the state of an object requiring monitoring or the like, such as equipment and machinery. A sensor installation position analysis method according to one aspect of the present invention comprises: a step for recording workpiece data, jig and tool data, and machining condition data; a step for acquiring state value data on the basis of the workpiece data, the jig and tool data, and the machining condition data; a step for recording reference value data; and a step for acquiring correlation coefficient data and intensity coefficient data on the basis of the reference value data and the state value data.

The present application relates to a multi-mode switching monitoring system based on gear analysis, comprising: a damper mounted on the output end of the motor and located between the motor and the load, the damper outputs damping to change the load; a data monitoring module obtains the parameters of the motor during operation according to passive monitoring mode or active monitoring mode; an analysis module extracts features from the motor operating parameters and performs abnormal comparison, matches and executes the corresponding analysis scheme in the interlocking analysis strategy according to the preset selected strategy, and the analysis module matches the next analysis scheme based on the comparison result of the previous analysis scheme; a simulation module is used for reproducing the reference parameters in the analysis scheme to obtain the reference parameter waveform as the comparison basis for abnormal judgment, and the present application accurately identifies the abnormal type of the motor through the cooperation of damper adjustment, multi-mode monitoring and progressive analysis scheme.

The application discloses a batch geographic position analysis method, a position recommendation system, a device and a medium, and specifically comprises the following steps: obtaining all interest places of all user targets in a current batch and removing the duplicates to obtain a unique interest set composed of a plurality of unique places; establishing an inverted index between the unique places and the user targets associated with the unique places; obtaining the proximity of each unique place to a position to be recommended; based on the inverted index, backfilling the proximity to the corresponding user targets associated with the unique places; comparing the proximity obtained by backfilling each user target, and determining the optimal place of each user target according to the comparison result. The batch geographic position analysis method provided in the embodiment of the application reduces the data processing complexity in the data processing process of batch geographic position analysis, significantly reduces the number of repeated calculations, and greatly improves the throughput and scalability of the system.

The invention discloses a locomotive crossing judgment system and an implementation method, and belongs to the technical field of rail transit operation safety. The system comprises a guarding filtering unit, a position analysis unit, a distance calculation unit, a region judgment unit, a direction identification unit, an interval matching unit and a dynamic scanning unit, spatial interval matching and direction shunting are carried out by analyzing locomotive positioning data in real time and combining a line direction and region attributes, the current running direction is identified, and the locomotive positioning data is obtained. And traversing a subsequent crossing based on a dynamic scanning mechanism, and calling a judgment function to realize crossing state confirmation. A logic fusing mechanism is introduced into the system, and the judgment stability in an abnormal scene is improved. Compared with a traditional scheme depending on fixed signals or manual observation, the system has good real-time performance, adaptability and engineering deployment efficiency, and can be widely applied to railway and urban rail transit safety auxiliary judgment scenes.

The invention relates to an application testing method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The application testing method comprises the steps that under the condition that an application testing instruction for a target testing application is detected, a current application display page of the target testing application is obtained, the first test attribute information comprises first identification indication information corresponding to the first test control and first operation indication information corresponding to the first test control; based on the first identification indication information and the current application display page, performing control region position analysis on the first test control to obtain first position indication information corresponding to the first test control; generating a first control operation instruction corresponding to the first test control based on the first position indication information and the first operation indication information; and based on the first control operation instruction, controlling the target test application to execute a first business operation corresponding to the first operation indication information. By utilizing the embodiment of the invention, the test of a complex scene can be realized, and the application test efficiency can be improved.

The invention relates to the technical field of ESG multi-dimensional data management, in particular to an ESG multi-dimensional data visual query management method and system, and the method comprises the steps: obtaining query record data; and according to the query record data, determining a query node, a key vocabulary set, an input cursor position and query confirmation data, and according to a node association relationship, constructing a visual model to obtain a data association model. And comprehensively analyzing the keyword set, the input cursor position and the query confirmation data to obtain a node query rule. And binding the node query rule with the data association model to obtain a data query model. And collecting a current query person, a data query node and query input data. And screening the data query model to obtain an adaptive query model. And importing the query input data into the adaptive query model for keyword and cursor position analysis to obtain a query data sequence. According to the method, the application query efficiency of the ESG multi-dimensional data is improved.