58results about How to "Efficient and accurate assessment" patented technology

The invention discloses a routing protocol design method based on link quality and node forwarding capacity. The problems that in an existing routing protocol based on the geographic position, data grouping end-to-end transmission path selection is low in efficiency, consequently, the data grouping delivery rate is small, and network throughput is small are solved. The realizing scheme includes the steps that parameters which are related to node quality and include the motion direction, the distance, the link quality and internal forwarding capacity are calculated; then, candidate adjacent node set selection and node priority ranking are conducted through a screening mechanism and a weighting algorithm; based on a candidate adjacent node set and node priority information, an opportunity forwarding strategy is executed on data grouping. On the premise of ensuring acceptable data grouping end-to-end delay, the delivery rate of data packages and the network throughput are increased. The routing protocol design method can be applied to communication among vehicles in car networking, effective information exchange among the vehicles is achieved, and safety and efficiency of vehicle traffic are improved.

The invention provides a human body posture recognition method and device. The method comprises the steps of providing a to-be-processed image; Performing target detection processing on the to-be-processed image to obtain one or more first head detection frames; Performing key point calculation processing on the first head detection frame to obtain a plurality of pieces of first head key point information; Performing recognition processing on the to-be-processed image from bottom to top to obtain one or more pieces of second human body posture information; Extracting second head key point information and first trunk key point information from the second human body posture information; Fusing the first head key point information and the second head key point information to obtain fused third head key point information; And taking the third head key point information and the first trunk key point information as a human body posture recognition result. According to the invention, the accuracy of human body posture recognition can be improved.

A method for testing platelet function, wherein platelet function is tested by allowing anticoagulated blood, to which a weak platelet-activating reagent has been mixed, to pass through a capillary having a platelet-adhesive surface on at least a part of its inner surface, and observing or measuring the behavior of the blood in the capillary.

The invention discloses a flat type SOFC (Solid Oxide Fuel Cell) monocell partial performance test device, which comprises a current collector pedestal and a current collector. The current collector comprises more than one partition collector unit; the partition collector unit is connected with the collector pedestal through an electroconductive connector; the electroconductive connector is also served as a binding post to be connected with a current voltage lead; a temperature sensor is mounted on the partition collector unit; an insulation sleeve is sheathed outside a conductive body; and insulating materials are filled in empty cavities between the current collector pedestal and the partition collector unit as well as the neighboring partition collector unit. A plurality of partition collector units are adopted for realizing monocell partial performance testing; and each partition collector unit is provided with a respective gas flow channel, thereby guaranteeing a uniform gas flowfield simultaneously when not influencing the current collecting effect, so that, the monocell partial electrical performance and temperature distribution can be quickly and effectively tested.

The invention relates to a threat assessment method for low, slow and small targets, and belongs to the technical field of threat assessment. The method comprises eight steps, wherein a consistency judgment method, a clustering method, an adaptive variable weight method and a TOPSIS method are adopted, a threat assessment system for low, slow and small targets is constructed, and the sorting accuracy is improved; expert group data is optimized through a consistency judgment method and a clustering method, expert cognitive limitations are evaluated, and the accuracy and reliability of an expertdatabase are effectively improved; blind areas and defects of expert experience data are made up through a self-adaptive variable weight method, and the sorting robustness is improved; and approximate ideal solution sorting is performed on each evaluation object through a TOPSIS method and the evaluation objects is accurately output. The problems that in the prior art, the threat levels cannot becorrectly sorted and accurately evaluated according to the characteristics of low, slow and small targets and complex application backgrounds, and the accuracy and robustness of threat sorting evaluation are poor due to the fact that weight values are allocated completely depending on expert experience and limitation is obvious are solved.

The invention discloses a rehabilitation exercise evaluation method and device, equipment and a storage medium. In one embodiment of the invention, the rehabilitation exercise evaluation method can comprise the steps of obtaining continuous multi-frame rehabilitation exercise images of an evaluation object; extracting two-dimensional bone node information frame by frame for the continuous multi-frame rehabilitation motion images; based on the two-dimensional bone node information of the continuous multi-frame rehabilitation motion images, predicting three-dimensional bone node information of each frame of rehabilitation motion image through a pre-created bone node tree structure; and evaluating the rehabilitation exercise posture of the evaluation object at the corresponding moment based on the three-dimensional bone node information of the single-frame rehabilitation exercise image. According to the invention, efficient and accurate evaluation of various rehabilitation exercise postures of the evaluation object can be achieved with low hardware cost, and the method and device has special significance for judging the action quality and action error of the evaluation object and understanding the initial standing habit of the evaluation object.

The invention discloses an industrial park terminal water treatment system assessment method. Firstly an industrial park terminal water treatment system assessment indicator system including technical indicators, environmental impact indicators, economic indicators and operation management indicators is constructed, then the subjective weight of each assessment indicator is determined by adopting an analytic hierarchy process and the objective weight of each assessment indicator is determined by adopting an entropy weight method, and the comprehensive weight of each assessment indicator is calculated by utilizing the mode of combination of the subjective weight and the objective weight. Secondly the evaluation standard of each indicator of the industrial park terminal water treatment system evaluation space is determined based on the fuzzy comprehensive evaluation theory, the membership function of each assessment indicator is determined, the fuzzy judgment matrix of each assessment indicator is constructed, and the assessment result of the terminal water treatment scheme of each industrial park is further calculated. The advantages and the disadvantages of the industrial park terminal water treatment technology can be rapidly and accurately assessed so that feasible suggestions can be provided for the existing industrial park terminal water treatment technology, and reference can be provided for selection of the new industrial park terminal water treatment technology.

Methods and apparatus are described for assessing the reflective properties of mirrors at different angles of incidence without precise knowledge of the mirror's basic optical constants and / or without precise knowledge of the mirror's over-coating prescription. Reflectance values can be accurately calculated for multiple angles of incidence based upon measurement data collected for a single angle of incidence. The approach uses equations based on the Fresnel equations for reflectance in which reflectance is calculated as a function of the angle of incidence of incoming light to the scanned mirror used to collect the signal. The angle of incidence-based approach allows accurate reflectance values to be calculated over a broad range of wavelengths and angle of incidences without detailed knowledge of the optical properties of the coating material and the substrate underneath. The described methods and apparatus are particularly useful for calibrating measurements made with remote sensing instruments that use scanned mirrors.

The invention discloses a health assessment method, a health assessment device and a computer readable storage medium, which are applied to the field of prediction assessment. The method comprises thefollowing steps: obtaining a physiological age, a real age and a target disease occurrence rate table of a target user; according to the target disease occurrence rate table, searching a first disease occurrence rate corresponding to the physiological age of the target user and a second disease occurrence rate corresponding to the real age of the target user; assessing the health score of the target user according to the comparison of the first disease occurrence rate and the second disease occurrence rate, wherein the health score of the target user is used for describing the health condition of the target user. The health score of the target user is obtained by comparing the physiological age and the real age of the target user, so that the health condition of the target user can be evaluated.

The invention provides a battery SOH evaluation model construction method and a battery SOH value evaluation method, and relates to the technical field of battery evaluation, and the method comprises the steps: obtaining a first training data set and a second training data set; wherein the first training data set comprises a plurality of first battery data samples which are not labeled with SOH labels, the second training data set comprises a plurality of second battery data samples which are labeled with SOH labels, and the number of samples of the second training data set is far smaller than the number of samples of the first training data set; based on sample intervals among the first battery data samples in the first training data set, determining a plurality of sample pairs from the first training data set, and training a pre-constructed similarity model by using each sample pair; and constructing a battery SOH evaluation model according to the similarity model obtained by training and / or the second training data set. According to the invention, the difficulty and cost of battery SOH evaluation can be effectively reduced.

The invention discloses a cardiopulmonary resuscitation training and evaluation method and device, equipment and a storage medium. In one embodiment of the invention, the cardiopulmonary resuscitation evaluation method comprises the following steps: acquiring a to-be-tested image sequence containing CPR key actions of a trainee; utilizing the to-be-detected image sequence to extract posture feature data of the trainee through a pre-constructed posture recognition model; determining the similarity between the CPR key action of the trainee and the corresponding CPR standard action by using pre-acquired standard posture feature data and the posture feature data of the trainee; and based on the similarity between the CPR key action of the trainee and the corresponding CPR standard action, evaluating the CPR key action of the trainee. According to the method, the CPR action of the trainee can be evaluated efficiently and accurately in real time at low cost, and real-time feedback is given.

The invention belongs to the field of soil environment monitoring and evaluation, and particularly relates to a method for evaluating soil heavy metal concentration in a hyperspectral image based on spatial weight constraint and variational self-encoding feature extraction. The invention first establishes a spatial weight constraint for each pixel in the hyperspectral image, realizes the feature data extraction of soil heavy metal concentration modeling by a variational self-encoding method based on the spatial weight constraint, establishes a model between the soil heavy metal concentration and the features of variational self-encoding compression, and finally obtains an estimated value of soil heavy metal concentration at unknown pixels. The method has the characteristics of non-contact,large-scale continuous geographic space, and strong generalization ability to evaluate soil heavy metal concentrations.

According to the webpage timeliness obtaining method for temporal consistency constraint determination, based on webpage timeliness, a temporal inconsistency intelligent recognition system of a network temporal model is provided, and comprises the construction of the network temporal model, a temporal inconsistency constraint system determination system and a temporal inconsistency intelligent recognition method based on the network temporal model. On the basis of an internal search engine, a webpage release time obtaining method based on an analytic hierarchy process model is provided, timeliness sorting is conducted on search results of the search engine through webpage release time, and timeliness retrieval is achieved. Further, the webpage timeliness is analyzed from the perspective ofwebpage content time, the positions where the time phrases possibly appear are all marked, it is guaranteed that the time phrases are extracted more sufficiently, the webpage timeliness obtaining intelligent degree is high, and the speed is high. Experiments prove that the result of the method for obtaining the webpage release time is efficient and accurate, and the retrieval result of the searchengine meets the timeliness requirement of the user.

The invention discloses a Barkhausen signal randomness measurement and conversion method. The method comprises the following steps: S1, determining an original feature sample space of signal features;s2, calculating a feature probability distribution space of an original feature sample space; s3, reconstructing an original feature sample space; s4, inputting the original feature sample space andthe reconstructed feature sample space into a prediction model for prediction; s5, comparing prediction results to obtain interval indexes, and taking the interval indexes as Barkhausen signal randomness measurement results; and S6, adding ordered quantized noise to the Barkhausen signal of the selected interval index to complete the conversion of the randomness of the Barkhausen signal. The invention relates to research on a randomness measurement and conversion method of a Barkhausen signal which is a nondestructive testing technology, is completed by means of Bayesian uncertainty analysis,is greatly helpful to deeply understand the intrinsic random characteristics of the Barkhausen signal, and enables the characteristics in different states to be more differentiated through probabilityconversion.

A system capable of automatically testing the veracity of a claim of compensation for a physical or emotional injury, includes a standardized information database, an accumulated information data record, a checklist function wherein all allegedly compatible data fields are verifiable for consistency wherein the original facts and circumstances completely describing the nature and extent of the alleged injury are encoded in a novel form based on lay terminology. The accrued databases are designed to encompass a progressively accumulated data set following a preferred pattern including individually selectable optional lines of inquiry. The system automatically compares allegations of fact which allegations remain recorded in an unaltered form, for each and every relevant discovery of medical history or other relevant record of prior or subsequent fact. This comparison improves detectability of fraud and error which can otherwise occur due to the potential for the claim allegations to become materially altered or obscured. Use of the unique code structure preserves the essential facts and circumstances of the claim in a format compatible with electronic data processing, enabling cross-correlation testing to be repeatedly completed for every addition to the record achieving speed and thoroughness levels not possible by manual means.

The invention discloses a community credibility evaluation method based on an improved D-S evidence theory. The method comprises the steps of calculating a trust function and a likelihood function ofeach community by utilizing evaluation of basic probability allocation (BPA) on an evidence source; secondly, constructing an interval number through the trust function and the likelihood function toobtain a trust interval of each community; then, obtaining descending sort of the interval number of the communities through aggregation of an ordered weighted average operator; and finally, sorting the aggregated results to obtain a credibility evaluation result of each community. According to the method, the overall credibility of the community can be accurately assessed, and the credibility ofthe community can still be efficiently and accurately assessed even under the conditions that the data types or characteristics of the nodes are unknown, the nodes are attacked to different degrees ordata are forged; according to the method, the nodes in the network are fused according to the evidences to obtain the support degree of all the evidences for each community, so that the credibility of the communities can be effectively evaluated.

The invention relates to the field of intelligent robots, in particular to a health assessment method for an industrial robot. Aiming at the problems that the industrial robot is accidentally shut down or the product quality is reduced due to the fact that the precision of the industrial robot is degraded and equipment faults cannot be found in time, the health condition assessment method of the industrial robot is researched, problems are found in time, and losses are reduced. Firstly, various sensors such as a speed sensor and a temperature sensor are used for collecting data, a kernel principal component analysis (KPCA) method is used for carrying out dimension reduction processing on the collected data, then an SVM classification algorithm is used for training a sample data set, and anSVM-based industrial robot health assessment model is generated. Finally the health condition of the industrial robot is assessed in real time according to the current running state of the industrialrobot. The method has the advantages of being low in complexity, high in evaluation accuracy and the like, and real-time health condition assessment of the whole industrial robot can be achieved.

The invention provides a display panel supporting column performance evaluation method and device and a display panel. The method comprises the steps of building a test model corresponding to the display panel according to the actual size of the display panel and the position of a supporting column in the display panel, calculating the size variation of the display panel under the action of external force according to the mechanical property of the supporting column and the actual stress of the display panel, and determining the supporting performance of the supporting column according to the size variation. According to the evaluation method, the performance of the display panel supporting column can be efficiently and accurately evaluated, and important data support is provided for design and manufacturing of the display panel and design of the liquid crystal content in the display panel.

A method of evaluating a solid fraction of a target pharmaceutical sample by means of a solid fraction sensor is disclosed with the solid fraction sensor including a first conductor element, a second conductor element, an operation space and an energy source arranged to generate an electric field in the operation space by means of the first conductor element and the second conductor element. The method including positioning the target pharmaceutical sample in the operation space of the solid fraction sensor, determining a capacitance between the first and second conductor element with the target pharmaceutical sample located in the operation space, and converting the determined capacitance together with information about a composition of a reference pharmaceutical sample having the essentially same dielectric properties as the target pharmaceutical sample and about a thickness of the reference pharmaceutical sample into a solid fraction of the target pharmaceutical sample.

The present invention proposes a system and method for entering data assets into a table based on a multi-level knowledge graph, which relates to the fields of data asset authentication and evaluation, knowledge graphs, and artificial intelligence technology. The improved JERE algorithm is used to automatically extract key entities and relationships from enterprise information system logs, enterprise documents, and external knowledge sources to construct a multi-level knowledge graph. Data resources are intelligently processed through clustering algorithms and other means to form data products, and accounting ledgers and recommended data asset combinations are automatically matched through AI algorithms. Accounting subjects are intelligently matched, combined with data product architecture and accounting ledgers, the value of data assets is intelligently evaluated according to preset calculation formulas, and an evaluation report is automatically generated. The present invention improves the efficiency of enterprise data asset management and decision-making support capabilities.

For the use of a solid fraction sensor (17) to evaluate a solid fraction of a target pharmaceutical sample (4, 10) the solid fraction sensor (17) has a first conductor element (5), a second conductor element (7), an operation space (15) and an energy source (13) arranged to generate an electric field in the operation space (15) by means of the first conductor element (5) and the second conductor element (7), comprising positioning the target pharmaceutical sample (4, 10) in the operation space (15) of the solid fraction sensor (17), determining a capacitance between the first and second conductor element (5, 7) with the target pharmaceutical sample (4, 10) located in the operation space (15), and converting the determined capacitance together with information about a composition of a reference pharmaceutical sample having the essentially same dielectric properties as the target pharmaceutical sample (4, 10) and about a thickness of the reference pharmaceutical sample (4, 10) into a solid fraction of the target pharmaceutical sample (4, 10).

A modulation depth precise evaluation method for a fiber-optic gyroscope light path noise reduction technology is characterized in that a precise matching model of a light intensity signal of a main light path and a light intensity signal of a reference light path is established by using a fiber-optic gyroscope detector signal, so that precise evaluation of the optimal modulation depth of the fiber-optic gyroscope light path noise reduction technology is realized, and the determination of the optimal state of a gyroscope is efficiently completed. Meanwhile, the voltage signal is used for replacing the optical power signal to achieve evaluation of the optimal modulation depth, the influence of optical power measurement errors can be avoided, and accurate control independent of optical path fusion point loss or accurate matching of optical device parameters is achieved.

The invention discloses a routing protocol design method based on link quality and node forwarding capacity. The problems that in an existing routing protocol based on the geographic position, data grouping end-to-end transmission path selection is low in efficiency, consequently, the data grouping delivery rate is small, and network throughput is small are solved. The realizing scheme includes the steps that parameters which are related to node quality and include the motion direction, the distance, the link quality and internal forwarding capacity are calculated; then, candidate adjacent node set selection and node priority ranking are conducted through a screening mechanism and a weighting algorithm; based on a candidate adjacent node set and node priority information, an opportunity forwarding strategy is executed on data grouping. On the premise of ensuring acceptable data grouping end-to-end delay, the delivery rate of data packages and the network throughput are increased. The routing protocol design method can be applied to communication among vehicles in car networking, effective information exchange among the vehicles is achieved, and safety and efficiency of vehicle traffic are improved.

The invention discloses a greedy multicast routing protocol design method in a three-dimensional scene, which mainly solves the problems of low delivery rate, high time delay and large routing overhead in the prior art. The implementation plan is: calculate the equivalent one-hop forwarding speed of neighbor nodes, and use it to filter out the candidate next-hop forwarding node set CF(m) of the current node; establish a reliability evaluation model based on Beta distribution, and use this model to evaluate The node with the largest equivalent one-hop forwarding speed value in CF(m); dynamically adjust CF(m) based on the calculated reliability value to filter out the actual set of next-hop forwarding nodes, and forward the data packets to the next All nodes in the one-hop forwarding node set. The invention improves the packet delivery rate, reduces the average end-to-end time delay and unified routing overhead. It can be applied to the communication between UAVs in the three-dimensional high-dynamic UAV ad hoc network.

The present invention designs a robot multi-sensor target tracking method based on MSR-CNN. The target tracking technology has been widely used in many fields such as intelligent monitoring and unmanned driving, but the target tracking algorithm still faces huge challenges in complex environments. Aiming at this problem, the present invention proposes a robot multi-sensor target tracking method based on MSR-CNN. The robot uses the binocular camera to collect images, and utilizes the multi-angle information collected by the robot. Multi-scale decomposition of images for image saliency detection to segment the key positions of the image. Finally, MSR-CNN is used to identify the image target to achieve the purpose of robot target tracking.

A method for testing platelet function, wherein platelet function is tested by allowing anticoagulated blood, to which a weak platelet-activating reagent has been mixed, to pass through a capillary having a platelet-adhesive surface on at least a part of its inner surface, and observing or measuring the behavior of the blood in the capillary.

The invention discloses a flat type SOFC (Solid Oxide Fuel Cell) monocell partial performance test device, which comprises a current collector pedestal and a current collector. The current collector comprises more than one partition collector unit; the partition collector unit is connected with the collector pedestal through an electroconductive connector; the electroconductive connector is also served as a binding post to be connected with a current voltage lead; a temperature sensor is mounted on the partition collector unit; an insulation sleeve is sheathed outside a conductive body; and insulating materials are filled in empty cavities between the current collector pedestal and the partition collector unit as well as the neighboring partition collector unit. A plurality of partition collector units are adopted for realizing monocell partial performance testing; and each partition collector unit is provided with a respective gas flow channel, thereby guaranteeing a uniform gas flowfield simultaneously when not influencing the current collecting effect, so that, the monocell partial electrical performance and temperature distribution can be quickly and effectively tested.

The invention relates to the technical field of oil well program control systems, and discloses an off-grid oil well intelligent control system and method, the system comprising an oil well drilling behavior self-checking module, an oil well drilling fluid control parameter analysis module, and an oil well drilling control execution module; the system dynamically feeds back formation pressure parameters at the drill bit through a pressure measuring device, combined with an intelligent recognition algorithm and scientifically preset drilling fluid density parameters required for different formation pressures, to perform intelligent analysis of the drilling fluid density required for balancing the formation pressure at the drill pipe and drill bit position in the oil well; the system adopts a drilling pressure torque measurement pup joint to collect real-time formation working condition information at the drill bit online, combined with target drilling fluid density parameters, intelligent search algorithms and scientific storage of different drilling fluid densities and drilling fluid types corresponding to formation working conditions, to perform precise and efficient analysis of the drilling fluid type required for balancing the formation pressure at the drill pipe and drill bit position in the oil well, thereby improving the drilling fluid parameter control precision and accuracy of the oil well control system.

The invention discloses a power transmission and transformation construction enterprise bearing capability assessment system based on big data. The system comprises a data acquisition unit which is used for acquiring power transmission and transformation construction enterprise relevant data; a data processing unit which is used for processing the data acquired by the data acquisition unit; a database establishing unit which is used for establishing a power transmission and transformation construction enterprise database based on the data processed by the data processing unit; and a calculation unit which is used for calculating and acquiring the power transmission and transformation construction enterprise bearing capability value based on the data in the power transmission and transformation construction enterprise database. The technical problems of high data acquisition difficulty, low efficiency and data inaccuracy of the present power transmission and transformation constructionenterprise bearing capability assessment data can be solved, and the technical effects of efficiently and accurately acquiring the power transmission and transformation construction enterprise bearingcapability data to guarantee the assessment accuracy can be realized.

Disclosed are a rehabilitation exercise evaluation method, device, equipment, and storage medium. In an embodiment of the present application, the evaluation method for rehabilitation exercise may include: acquiring continuous multiple frames of rehabilitation motion images of the evaluation object; extracting two-dimensional bone node information frame by frame from the continuous multiple frames of rehabilitation motion images; The two-dimensional bone node information of the rehabilitation motion image, predicting the three-dimensional bone node information of each frame of the rehabilitation motion image through the pre-created bone node tree structure; based on the three-dimensional bone node information of the rehabilitation motion image of a single frame, the evaluation The rehabilitation movement posture of the subject at the corresponding moment was evaluated. The application can realize the efficient and accurate evaluation of various rehabilitation exercise postures of the evaluation object at a relatively low hardware cost, which is of special significance for judging the quality of the evaluation object's movements, movement errors, and understanding the evaluation object's initial standing habits.