41results about How to "Accurate representation" patented technology

The application discloses a kind of multi-element fusion carotid vascular monitoring method, system, electronic equipment and storage medium, it is related to medical monitoring field.The method comprises: obtaining the time-domain acoustic signal of carotid artery of the individual to be measured, and the time-domain acoustic signal is carried out frequency domain transformation, and frequency-domain acoustic signal is obtained;Nonlinear flow state feature and topological form feature are extracted based on the frequency-domain acoustic signal;The nonlinear flow state feature and the topological form feature are compared with the corresponding baseline feature in the historical acoustic baseline of the individual to be measured, and feature deviation result is obtained;Risk assessment is carried out based on the feature deviation result, when the feature deviation result exceeds preset range, risk early warning is triggered.The application suppresses the interference such as power frequency, baseline drift, respiratory body movement and environmental noise mixed in time-domain waveform, thereby reducing the false positive rate of carotid vascular acoustic monitoring, and realizing early risk early warning of vascular lesion.

This invention relates to a method, system, and medium for measuring the spatial parameters of a monocular target object based on a 2D camera. The method includes: acquiring a calibration board image and an original distorted image captured by the 2D camera; calibrating the calibration board image using a calibration algorithm to obtain calibration parameters; correcting the original distorted image using the calibration parameters to obtain a corrected image; performing target detection; and outputting the external contour and target contour feature points of the target object; classifying the target contour feature points into upper boundary feature points and lower boundary feature points; calculating the relative distance between the target object and the 2D camera based on the lower boundary feature points and the calibration parameters; and performing curve fitting on the upper and lower boundary feature points and the lower boundary feature points, respectively, and calculating the actual height of the target object based on the calibration parameters. Compared with existing technologies, this invention has advantages such as improved measurement accuracy and adaptability to complex boundary targets.

This application relates to the field of soil remediation technology, and discloses a method, system, and storage medium for real-time monitoring of soil remediation effects. The method includes: collecting multi-depth data samples of soil in the vertical direction to construct a stratified soil characteristic dataset; identifying locations of highly heterogeneous sections based on the dataset; injecting a tracer at these locations and imaging in real time to obtain a sequence of infiltration path images; using a random forest model to predict diffusion velocity and blockage point locations, dynamically adjusting injection parameters to eliminate blockage, and obtaining infiltration path data; tracking and quantifying the effects of the soil amendment on each soil layer through time-series analysis to obtain quantitative indicators of the effect; comparing these indicators with the initial dataset to optimize the stratification model and construct a stratified monitoring framework; integrating multi-depth data samples to validate the framework and generating an evaluation report on the soil remediation effect. This invention achieves accurate characterization of soil vertical stratification characteristics and scientific, quantitative evaluation of remediation effects, improving the efficiency of soil amendment use.

This invention discloses a method and system for processing personnel information for business administration based on big data, relating to the field of personnel information data processing technology. The method includes the following steps: acquiring personnel information; preprocessing the personnel information to obtain preprocessed text information; processing the preprocessed text information through an embedding layer based on a CNN-BERT model to obtain a word vector matrix; processing the word vector matrix sequentially through a CNN convolutional layer, pooling layer, and fully connected layer to obtain structured data; using an improved ant colony optimization algorithm to perform path optimization for multi-condition combined queries on the structured data to obtain the globally optimal retrieval path; retrieving personnel information that satisfies the multi-condition combined query from the structured data based on the globally optimal retrieval path; and adaptively updating the global pheromone of the improved ant colony optimization algorithm after each round of multi-ant colony collaborative search to accurately locate the target personnel information.

This invention provides a non-uniform discrete equivalent circuit modeling method and system for electromigration reliability. It employs an equivalent circuit-based approach to analyze the electromigration stress evolution of general complex interconnect structures, fully considering thermal field effects in the model. This achieves equivalent circuit modeling for stress analysis under multi-physics coupling. Furthermore, by using an adaptive mesh method with non-uniform spatial discretization and a steady-state / quasi-steady-state filtering mechanism, it solves the problem of wasted computational resources in traditional uniform discretization methods when dealing with large-span interconnect structures, and avoids unnecessary transient simulations of immortal interconnect trees, reducing the computational load of full-chip-level analysis. This enables efficient and high-precision transient analysis of the electromigration reliability of large-scale interconnect networks under multi-physics coupling effects.

The invention relates to a high-order interface capturing method for a coupling level set and a fluid volume based on mixing precision, which comprises the following steps of: firstly, dividing a calculation area into a grid comprising a plurality of control body units, initializing, then identifying interface units, and reconstructing a THINC interface function by adopting a high-order polynomial based on an LS value; thirdly, introducing a mixed precision iterative algorithm to solve an interface position nonlinear equation, and adaptively switching to multi-precision operation to obtain a robust solution when double precision cannot converge; then, flux is calculated through an accurate interface, a VOF transport equation is solved, and mass conservation is guaranteed; and finally, on the basis of the predicted interface geometry, an LS field which does not need to be reinitialized is directly reconstructed through pure geometric methods such as interface point cloud generation through projection and nearest point searching in a narrow band. According to the method, the capture precision and geometric fidelity of complex interfaces with high curvature, sharp corners and the like on the unstructured grids are remarkably improved, and the method has high precision and strong robustness.

The invention discloses a partition management program development method and device and electronic equipment, and belongs to the technical field of intelligent automobiles. The method specifically comprises the following steps: generating a register semantic structure of a chip according to register description data of the chip and behavior specification data of the chip; determining a virtual register structure corresponding to the virtual machine in the partition strategy data according to the register semantic structure; determining a target strategy matched with the architecture configuration data of the chip according to the partition strategy data; generating an intermediate representation structure according to the register semantic structure, the virtual register structure and a binding relationship between the target strategy and nodes in the register semantic structure; the intermediate representation structure is used for representing hardware resources allocated for the virtual machine, and permissions and time sequences corresponding to the hardware resources; and compiling the intermediate representation structure into a target file loaded by a machine. According to the method, the manpower cost of partition management program development can be reduced, and the adaptation capability of partition management program development can be improved.

The application discloses a patent text processing method, a storage medium and computer equipment. The method comprises the following steps: obtaining a semantic feature vector corresponding to multi-dimensional semantic information of a patent text and a structure feature vector corresponding to a knowledge graph structure of the patent text; distributing fusion weights of the semantic feature vector and the structure feature vector based on a field scene attribute; fusing the semantic feature vector and the structure feature vector according to the distributed first fusion weight and the second fusion weight to generate a genetic feature vector representing the patent text; and associatively storing a globally unique identifier, the genetic feature vector, multi-dimensional semantic information, a patent knowledge graph and metadata of the patent text corresponding to the patent text. The application realizes feature fusion vectorization and associative storage of the patent text, can comprehensively and accurately represent patent text semantics and patent structure information, guarantees the efficiency, interpretability and traceability of patent retrieval and analysis, and is beneficial to improving the management and application efficiency of the patent text.

The invention discloses a vulnerability management method and device, a storage medium and a product, and relates to the technical field of security vulnerability management, and the method comprises the steps: carrying out the multi-dimensional risk assessment of a to-be-managed vulnerability, and obtaining an initial risk score of the to-be-managed vulnerability; collecting dynamic data of to-be-managed vulnerabilities, and updating the initial risk score in real time through the dynamic data to obtain a standard risk score; and sorting the to-be-managed vulnerabilities based on the standard risk scores to obtain a repair priority sequence of the to-be-managed vulnerabilities. According to the method, comprehensive and accurate assessment of the vulnerability risk is realized, the obtained standard risk score fits the threat situation of the vulnerability in real time, the repair resource distribution can be effectively optimized according to the repair priority sequence, the vulnerability management repair efficiency is improved, and the system security risk is remarkably reduced.

This application discloses a method, apparatus, device, and system for characterizing the Kerr effect nonlinear coefficient in antiresonant hollow-core optical fiber, relating to the field of optical fiber communication technology. The method is applied at the transmitting end and includes: processing an input data bitstream based on a bit loading strategy to obtain a baseband orthogonal frequency division multiplexing (OFDM) signal; modulating a composite optical signal according to the baseband OFDM signal to obtain a transmittable optical signal; and transmitting the transmittable optical signal through the hollow-core optical fiber under test, so that the receiving end can characterize the Kerr effect nonlinear coefficient and the communication performance of the hollow-core optical fiber under test based on the transmittable optical signal. By mapping different modulation orders of the signal subcarriers, the high-order OFDM QAM signal to be measured is modulated onto the optical field at the transmitting end through a modulator. The receiving end then characterizes the Kerr effect nonlinear coefficient based on the modulated optical field signal, achieving accurate characterization of the Kerr effect nonlinear coefficient.

This application provides a product recommendation method, apparatus, device, medium, and program product, relating to the field of artificial intelligence. The method includes: determining the dynamic characteristics of a customer based on historical data of the customer's use of application software; determining the static characteristics of a customer based on the customer's attribute information; determining the static characteristics of a product based on the product's attribute information; determining the dynamic characteristics of a product based on the product's click and purchase records; pairing the customer and product based on their dynamic and static characteristics to obtain customer-product pairs; inputting the dynamic and static characteristics of the customer-product pairs into a pre-trained matching probability determination model to obtain the matching probability of the customer-product pairs; and recommending products to the customer based on the matching probability of each customer-product pair. This application accurately characterizes the features of customers and products through dynamic and static dual-dimensional information. Based on this, the matching results of customers and products are input into the model, resulting in more accurate and reliable matching probabilities.

This invention relates to a low-temperature sample inert atmosphere transfer stage for an Auger spectrometer, comprising a sample stage, a sealing cap, and a sealing cap opening device. The sample stage includes a shell, a sample carrier, a coolant storage chamber, a positioning ring, a base, and a sealing fixing component. The sealing cap is fastened to the top of the sample stage shell to seal the sample stage, and the top of the sealing cap has a slot. The bottom of the sealing cap opening device has a locking component that engages within the slot of the sealing cap to control the opening or closing of the sealing cap. This device is suitable for sample testing under an inert atmosphere. It can be directly placed in the test chamber of an atmosphere-protected Auger spectrometer for direct sample freezing, avoiding air interference, meeting the requirements for sample freezing, achieving accurate sample characterization, saving costs, simplifying operation, and providing technical support for more accurate analysis and improvement of material properties.

This disclosure relates to a method, apparatus, electronic device, and storage medium for generating account features. The method includes: acquiring a historical multimedia resource set of an account to be identified; performing feature extraction processing on each historical multimedia resource in the historical multimedia resource set to obtain multiple historical multimedia resource features; and performing feature fusion processing on the multiple historical multimedia resource features to obtain account features of the account to be identified. The account features are used in subsequent processing of associated multimedia resources of the account to be identified. This disclosure extracts multiple historical multimedia resource features from the historical multimedia resource set of the account to be identified and fuses these features to obtain fused features. These fused features can accurately characterize account features. Therefore, using these fused features as account features of the account to be identified improves the accuracy of account features, thereby improving the accuracy of determining resource features of associated multimedia resources.

The invention discloses a wireless channel data processing method, computer equipment and a storage medium. According to the method, wireless resource control connection with a real commercial network is established, a reference signal is received and analyzed, a synchronous local reference signal is generated, matched filtering is carried out, and high-precision time domain impulse response data is obtained, so that the problem that accurate channel data cannot be acquired is solved; therefore, high-precision wireless channel data is acquired from a real commercial network, the wireless channel characteristics are accurately represented, and the reliability and efficiency of simulation testing are improved.

This invention discloses a method for estimating voltage and frequency deviations in microgrids for different scenarios, comprising: collecting voltage, current, power, and frequency data; performing coordinate transformation and filtering to obtain system time-series characteristic data; extracting power injection load response and frequency-voltage coupling state, constructing a disturbance-free reference evolution process, and generating a counterfactual reference trajectory; constructing a synchronization envelope, identifying deviance, crossing, and regression segments, and generating the original frequency and voltage deviation; inputting the improved AGCRN network to form a disturbance backtracking chain and extracting structural deviation components; determining the operational deviation based on the original deviation and structural deviation, constructing a recovery evolution fingerprint, and generating a deviation correction; fusing the original deviation, structural deviation, operational deviation, and correction, performing continuity correction, and outputting the final frequency and voltage deviation. This invention achieves accurate estimation of microgrid voltage and frequency deviations by constructing a counterfactual reference trajectory, improving AGCRN topology modeling, and correcting with a recovery evolution fingerprint.

The application discloses a method for realizing rust thickness calculation and imaging characterization based on terahertz technology, and the method comprises the following steps: obtaining a reflection spectrum data set of a rusted steel plate with a covering layer, and obtaining a phase difference parameter and a time of flight parameter through the reflection spectrum data set; wherein, after scanning and processing the rusted steel plate with the covering layer through a terahertz reflection spectrum technology, a reflection spectrum data set with scanning point information is obtained; based on the phase difference parameter and the time of flight parameter, the covering layer thickness and the rust layer thickness are calculated through a thickness layer calculation formula; and the rust imaging characterization is completed through the reflection spectrum data set, the covering layer thickness and the rust layer thickness, and then the rust imaging characterization is output. Through the method for realizing rust thickness calculation and imaging characterization based on the terahertz technology, the direct calculation of the covering layer thickness and the rust layer thickness of the rusted steel plate is realized, and the accurate quantitative characterization of the rust is also realized.

The present application relates to oil filling equipment technical field, provide a kind of large oil filling equipment typical fault defect identification method and system, it includes the following steps: step 1, acquisition large oil filling equipment in the ultrasonic signal of running process, and the ultrasonic signal is preprocessed, obtain the voiceprint data to be analyzed;Step 2, extract the multi-dimensional acoustic feature in the voiceprint data to be analyzed;Step 3, construct multi-dimensional feature fusion coding mechanism, the multi-dimensional acoustic feature is weighted and fused, obtain fusion feature vector;Step 4, the fusion feature vector is input into the deep learning model that is pre-constructed and trained, and the fault type and confidence corresponding to the current running state of equipment are output;Step 5, based on the fault type and confidence, calculate fault risk index, and combine preset multi-level early warning threshold, generate equipment state evaluation result and operation and maintenance suggestion.The present application can preferably identify fault defect.

This invention relates to the fields of graph neural networks and heterogeneous graph representation learning technology, specifically to a heterogeneous graph node classification method based on relation-aware label propagation. The method includes the following steps: first, based on a given heterogeneous network, then performing type-specific linear transformations on nodes of different types and projecting their features onto a common feature space; second, designing a relation-aware label propagation algorithm for target nodes in the heterogeneous network, generating pseudo-labels through relation subgraphs; and third, employing a two-layer aggregation strategy based on type attention to transmit information and effectively fuse multi-level information of nodes, resulting in richer and more accurate node feature representations. This invention significantly improves classification performance and robustness by designing a relation-aware label propagation method to obtain pseudo-labels, utilizing two-layer aggregation based on type attention for heterogeneous message transmission, and combining it with a multi-objective optimization strategy.

This invention discloses an online method for setting stable control parameters of a grid-connected converter, belonging to the field of power electronic grid-connected control technology. To address the problems of grid impedance variations with frequency and operating mode under weak grid conditions, coupling caused by parallel operation of multiple devices, and current oscillations caused by digital control delays leading to inaccurate reflection of grid dynamics in fixed parameter settings, this invention collects and synchronizes operating data from each grid-connected converter and grid connection point, constructs a multi-band coupling graph data including electrical and control coupling edges, utilizes a graph neural network to output coupling characteristics and coupling risk indicators, and employs a centralized value assessment network and a distributed strategy network to collaboratively generate and filter parameter adjustment amounts. Combined with feasible domain constraint processing, the setting parameters are updated and distributed, achieving online safe adaptive setting and improving grid stability and anti-interference capabilities.

The present invention relates to a method for presenting an image of the surrounding environment (14) of a motor vehicle (1) having a virtual representation of the motor vehicle (1) via a support system (3) of the motor vehicle (1) during a startup phase of the motor vehicle (1), comprising the steps of: providing a two-dimensional image (9) of the motor vehicle (1) as a virtual representation via an electronic computing device (5) of the support system (3); capturing the current surrounding environment (14) of the motor vehicle (1) via at least one capturing device (4) of the support system (3); blending the two-dimensional image (9) with the currently captured surrounding environment (14) into an surrounding environment image via the electronic computing device (5); and presenting the surrounding environment image on a display device (6) of the support system (3) during the startup phase. Furthermore, the present invention relates to a computer program product, a computer-readable storage medium, and a support system (3).

This invention discloses an intelligent personal radiation dose acquisition and monitoring system, specifically relating to the field of nuclear radiation dose monitoring. It addresses the problems of existing dose monitoring systems, such as coarse radiation signal analysis, delayed exposure risk identification, and difficulty in prospective assessment under complex radiation fields and dynamic body positioning conditions. The system performs refined waveform analysis on the raw pulse signals acquired by the personal detection unit, dynamically corrects scattering characteristics and energy deposition based on real-time personal positioning data, constructs an intermediate energy deposition spectrum reflecting the interaction between radiation and human tissue, and predicts the exposure situation within future monitoring time windows based on the evolution of spectral characteristics. This enables intelligent assessment and early warning of personal radiation exposure risks, improves the real-time performance and reliability of nuclear radiation protection, is suitable for nuclear emergency response and high-risk operational scenarios, and supports continuous monitoring and rapid deployment.

This invention provides a precise characterization method for manufactured sand particle shape. The manufactured sand of all particle sizes is divided into two parts with different particle size ranges: one part with particle size and the other with mass and mass , respectively, and a particle size less than . The particle shape of the manufactured sand with particle size is characterized using the unit flow time method, while introducing flow rate to transform the particle shape result into a dimensionless value. The particle shape of the manufactured sand with particle size is accurately and three-dimensionally characterized using the sphericity method. Based on the mass ratio of the two parts, the particle shape results of the two parts are converted into a particle shape index, thus transforming the abstract quality of manufactured sand particle shape into a concrete numerical value that can be mathematically calculated. This invention combines the flow time method and the sphericity method to form a new detection method. The new method effectively overcomes the shortcomings of single detection methods while leveraging their advantages of precise detection for a specific particle size range.

The invention relates to the technical field of intelligent mineral processing, and discloses a mineral flotation performance prediction method and system based on a graph neural network, and the method comprises the steps: 1, obtaining multi-source flotation data, and carrying out the alignment according to discrete moments, and obtaining a standardized flotation input sample; step 2, constructing a dynamic heterogeneous flotation relation graph comprising various types of nodes, process edges and time sequence edges; step 3, establishing a relationship conservation constraint and screening a propagation path to obtain a constraint propagation graph; step 4, calculating a structure ambiguity index and identifying ambiguity sample pairs; 5, carrying out graph neural network message passing to obtain final depth features of the nodes; 6, ambiguity separation is carried out, and grade, recovery rate and comprehensive performance prediction values are obtained; and step 7, constructing a joint objective function, obtaining a prediction model, and outputting a prediction result and an ambiguity metric value. According to the method, effective modeling of the complex process relation in the mineral flotation process and high-precision prediction of the flotation performance are achieved.

The application relates to a vehicle dangerous driving early warning method and device and a storage medium, and relates to the technical field of vehicles. The method comprises the following steps: acquiring image information of a driver and driving information of a vehicle corresponding to the driver; performing behavior feature recognition on the image information to obtain behavior information of the driver; judging whether the behavior information belongs to a violation behavior; if the behavior information belongs to the violation behavior, judging whether the violation behavior belongs to a dangerous behavior based on the driving information; and if the violation behavior belongs to the dangerous behavior, outputting early warning information. The application has the effect of improving the accuracy of early warning information of a dangerous early warning system.

The invention relates to a future interactive modeling trajectory prediction method for a complex traffic scene. The method comprises the following steps: coding historical motion states of traffic participants based on historical trajectories and scene maps of a target vehicle and surrounding participants; performing future mode projection and time expansion on the historical features to generate potential future features; then, according to the association degree of the target vehicle and the surrounding participants in the future feature space, constructing future interaction association representation, and screening out a key participant set having a potential future interaction relationship with the target vehicle; and performing interactive fusion on the future features of the key participant set and the future features of the target vehicle to obtain enhanced features with future interactive perception capability, and outputting a predicted trajectory result of the target traffic participant in a future time period based on the enhanced features. Therefore, the real-time performance, the prediction precision and the scene adaptability of track prediction in a complex traffic scene are improved.

This invention relates to a non-destructive testing method for ceramic cores used in directional solidification high-temperature alloy hollow blades, comprising the following steps: Step 1, preparing a ceramic core with a strong neutron-absorbing material; Step 2, preparing a shell; Step 3, using an imaging system to obtain a dark-field image under natural conditions inside the insulation chamber; Step 4, passing a neutron beam through the insulation chamber to obtain an original background image for the imaging system; Step 5, placing the shell with the ceramic core into the insulation chamber; Step 6, starting the casting process in the directional solidification device, while simultaneously passing a neutron beam through the insulation chamber to obtain an original projection image including the ceramic core for the imaging system; Step 7, processing the dark-field image, the original background image, and the original projection image using the imaging system to obtain a background-free projection image of the ceramic core, and simultaneously obtaining the thickness variation of the ceramic core based on the incident neutron beam intensity and the transmitted neutron beam intensity. This invention can characterize the changes in the ceramic core in real time during the directional solidification casting process and achieves the purpose of non-destructive testing.

The application discloses a vehicle networking missing data repairing method and device based on a k-nearest neighbor granular ball model, constructs a multi-dimensional context feature space, retrieves one optimal sample most similar to a context at a missing moment to establish a nearest neighbor sample set, performs granular ball generation processing on the nearest neighbor sample set, generates a repairing value, an uncertainty interval and a final filling value after risk adaptation based on a granular ball center, a granular ball radius and a conditional distribution of a target feature item in the granular ball, thereby realizing missing data repairing for a vehicle networking scene, and solving the problems that existing vehicle networking missing data repairing methods are difficult to simultaneously utilize multi-dimensional context information such as time, space, running state and surrounding environment, are difficult to quantitatively express uncertainty of a repairing result, and are difficult to adjust the repairing result according to risk preferences of different downstream applications.

This invention belongs to the field of data processing technology, specifically disclosing a safety assessment method for energy storage power stations based on real-time monitoring data. The method includes: performing multimodal feature analysis on voltage and environmental data sequences of the energy storage power station to obtain static voltage feature tensors and static environmental feature tensors; conducting collaborative analysis of the static voltage and environmental feature tensors to obtain an environmental voltage feature correlation group; performing entropy weight dynamic analysis on the environmental voltage feature correlation group to construct a multidimensional state vector; performing time-series deduction on the multidimensional state vector to obtain a safety situation evolution matrix; and performing residual analysis between the safety situation evolution matrix and real-time monitoring time-series data to obtain a comprehensive deviation index; and performing root cause assessment on the comprehensive deviation index to obtain comprehensive risk information. This invention enables more accurate, dynamic, and efficient safety assessment of energy storage power stations, allowing for comprehensive situation perception and rapid identification of risk root causes.

This invention discloses an automatic measurement device for the form and position tolerances of a large-size shell segment. An upper end face measurement sensor is aligned with the upper end face of the shell segment being measured, used to acquire feature data of the upper end face of the shell segment when it rotates. A lower end face measurement sensor is aligned with the lower end face of the shell segment being measured, used to acquire feature data of the lower end face of the shell segment when it rotates. A tail fin measurement sensor is used to acquire feature data of the center surface of the tail fin when the shell segment is fixed. An end frame measurement sensor is aligned with the cylindrical surface of the upper or lower end frame of the shell segment being measured, used to acquire feature data of the cylindrical surface of the upper or lower end frame when the shell segment rotates. This invention also discloses a measurement method capable of measuring the product's roundness, flatness, parallelism, coaxiality, tail fin centripetal force, product height, product diameter, and other external dimensions and form and position tolerances.

The invention discloses a free gas saturation calculation method and device for a coal-bed gas well. The free gas saturation calculation method comprises the steps that two-dimensional nuclear magnetic logging data of the coal-bed gas well are obtained; performing spectrum unfolding processing on the two-dimensional nuclear magnetic logging data to obtain a T1-T2 two-dimensional nuclear magnetic spectrum; inputting the T1-T2 two-dimensional nuclear magnetic spectrum into the pore model to obtain a T2 cut-off value of the micropore and a T2 cut-off value of the micropore; according to the T2 cut-off value of the micropore and the T2 cut-off value of the micropore, performing pore interval division on the T1-T2 two-dimensional nuclear magnetic spectrum to obtain a micropore pore interval and a mesopore and macropore pore interval; respectively calculating envelope areas of a micropore pore interval, a medium-large pore interval and a total pore interval by utilizing a calculus formula to obtain micropore porosity, medium-large pore porosity and total porosity; and according to the micropore porosity, the mesopore and macropore porosity and the total porosity, the free gas saturation of the coal-bed gas well is calculated. Therefore, the problem that the accurate gas saturation of the free gas cannot be obtained is solved.