1913results about How to "Accurate evaluation" patented technology

Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Private equity firms and other investors of small businesses can use the CSoW/CSoSW modeling approach to more accurately evaluate small and privately held companies, both during investment and for evaluating prospective investments. Over-the-counter securities trading systems can also use this modeling approach to provide more accurate information and/or rankings of listed companies to their customers.

The invention provides an autonomous underwater vehicle (AUV) trajectory tracking control method based on deep reinforcement learning, belonging to the field of deep reinforcement learning and intelligent control. The autonomous underwater vehicle trajectory tracking control method based on deep reinforcement learning includes the steps: defining an AUV trajectory tracking control problem; establishing a Markov decision-making process model of the AUV trajectory tracking problem; constructing a hybrid policy-evaluation network which consists of multiple policy networks and evaluation networks;and finally, solving the target policy of AUV trajectory tracking control by the constructed hybrid policy-evaluation network, for the multiple evaluation networks, evaluating the performance of eachevaluation network by defining an expected Bellman absolute error and updating only one evaluation network with the lowest performance at each time step, and for the multiple policy networks, randomly selecting one policy network at each time step and using a deterministic policy gradient to update, so that the finally learned policy is the mean value of all the policy networks. The autonomous underwater vehicle trajectory tracking control method based on deep reinforcement learning is not easy to be influenced by the bad AUV historical tracking trajectory, and has high precision.

The invention discloses an advertisement injecting effect evaluation and intelligent push decision method based on face identification and big data analysis. The advertisement injecting effect evaluation and intelligent push decision method comprises a face identification technology is employed to obtain face feature data of the audience group, and the data is introduced into an advertisement injecting effect evaluation module as parameters, and is used for quantifying the advertisement injecting effect; furthermore, historical data is stored in a database, a data analysis system can carry out further analysis, the analysis result can be provided for the advertiser as an injecting decision reference, and can also be provided for the advertising agency who can carry out reasonable bidding and charging on the advertising position. At the same time, an FAEM matching algorithm is employed to match the advertisement played at present with audience face feature data at present, and advertisement push is carried out in dependence on the matching result. According to the invention, accurate evaluation of the advertisement injecting effect can be given out scientifically and objectively, and advertisements can be injected selectively and intelligently in dependence on audiences of the advertisements.

The invention discloses an examiner identification system based on bionic and biometric identification, using synthetically various biometric identification methods based on high-dimension space geometric shape adaptive coverage theory to achieve identification of examiner identity. First of all, through an acquisition equipment, gripping-pen fingerprint is obtained, on-line signature and facial image, and then the data is mapped into high-dimension space observation point after feature extraction, last according to similar sample point continuity in the high-dimension space, through the relation between the observation point and sample set coverage area to obtain different biological characteristic network match degree, then through match degree fusion decision algorithm to identify identity of the examiner, and through automatic addition of new verification data to achieve sample set dynamic updating and trend forecast. Identification of the invention is fast, result is accurate, and the invention is not only suitable for examiner identification in existing examination mode, but also has broader application in the future machine- examination mode.

The invention discloses a method for evaluating self-discharge consistency of a lithium iron phosphate battery. The method mainly comprises the following steps of: measuring open circuit voltage after the battery is charged and open circuit voltage after the battery is laid at high temperature under the conditions of constant voltage and constant current; calculating the voltage drop of the battery, a mean value and a standard difference; and determining the upper control limit of the voltage drop to determine that the battery has high self-discharge consistency under the condition that the voltage drop does not surpass an upper specification limit. By the method for evaluating the self-discharge consistency of the lithium iron phosphate battery, evaluation accuracy, high production operability and obvious practical meaning are achieved, and the grouping consistency of the lithium iron phosphate battery is effectively improved.

The invention discloses an acceleration performance evaluation test method and a test apparatus of a turbo-charger. The acceleration performance evaluation parameters of the turbo-charger are obtained according to formula computing by measuring the parameters of the turbo-charger such as pressure, temperature, flow rate and rotate speed. The invention has the following advantages: the acceleration performance of the turbo-charger is accurately and conveniently evaluated by measuring and computationally analyzing acceleration parameter Acnp, and provides measuring means and judgment basis for improving and optimally designing the turbo-charger, compressor impeller and rotor system and improving the acceleration performance of supercharger.

The invention relates to an orthogonal vision detection system for detecting the wear condition of an end mill and belongs to the technical field of optical measurement and mechanical engineering. The orthogonal vision detection system comprises top surface and lateral surface CCD (Charge Coupled Device) cameras, top surface and lateral surface lenses, top surface and lateral surface ring-shaped light sources, an X-directional guide rail, a Z-directional guide rail, an X-directional sliding block, a Z-directional sliding block, a bracket, handwheels, a rotating table, a marble base, an image acquisition card and a computer. According to the invention, the double CCD cameras which are arranged in the orthogonal directions are adopted, an image analog signal of a wear region is acquired by the image acquisition card and is converted into a digital signal, computer-vision software is applied, the digital signal is processed by the computer and the width and the area of a wear zone of a rear tool face of the end mill are accurately measured, so that the detection of the wear condition of the end mill is implemented. The orthogonal vision detection system has the characteristics of non contact, high resolution, high automation degree and high speed. The fault-free operating time of machine tool equipment an be effectively prolonged and the product quality is improved. The orthogonal vision detection system has very important significance and practical value in application of an automatic machine tool.

Appropriate measurement and analysis parameters are set according to cerebral function to be measured. To measure gustatory function, a time period of absence of cerebral activity to be measured is set so as not to contain a period of 60 seconds after start of stimulation, an activity period for analysis for an oxyhemoglobin concentration change signal is set so as to contain a period between an instant after a lapse of 16 seconds, and an instant after a lapse of 25 seconds, after the start of the stimulation, and an activity period for analysis for a deoxyhemoglobin concentration change signal is set so as to contain a period between an instant after a lapse of 28 seconds and an instant after a lapse of 37 seconds after the start of the stimulation. Moreover, a time interval between stimulations is set to 80 seconds or more.

The invention discloses a big data-based STEM education assessment system and method. The system mainly comprises an information collection and storage module, a teaching scheme generation module, a course implementation module, a student ability and accomplishment analysis module and an ability and accomplishment visualization module; the information collection and storage module mainly records basic information and behavior logs of a teacher and students; the teaching scheme generation module assists the teacher to develop teaching design; teaching activities are implemented in the course implementation module, and teacher and student behavior data is stored; the student ability and accomplishment analysis module analyzes core accomplishment, subject knowledge and key abilities of the students; and student assessment results are displayed in multiple ways of a radar map, a knowledge map and the like in the ability and accomplishment visualization module, and the student assessment results are stored in the information collection and storage module. The assessment system and method is applied to the STEM education assessment; the teacher and the students are assisted to accuratelyknow student ability and accomplishment development according to the assessment results; the teacher is assisted to accurately teach; and the student learning effect is improved.

The invention discloses a spectral image-based meat quality visual non-contact detection method. By means of spatial distribution information and spectral characteristic information which are contained in a spectral image and reflect the characteristics of an object to be detected, multiple indexes of meat quality (such as water content, water activity, volatile basic nitrogen, meat color, microorganism counts, acid value and pH value) are respectively or comprehensively evaluated, and evaluation results are given in an image mode according to spatial distribution conditions of specific indexes in the object to be detected. The method can be used for quick and non-contact inspection of meat production, processing, storage, transportation and marketing links, inspection results are accurate and objective, and the expression mode is intuitive, so that a guarantee means for supervising the production and marketing quality safety of meat is provided.

The invention discloses a method for controlling the quality of ginkgo leaves and an extract thereof. After the screening of a great quantity of experiments, the method adopts ultra-high performance liquid chromatography for detection; and the method can be used for detecting three types of components including flavone, terpene lactones and phenolic acid, twenty-four active compounds in total, in the ginkgo leaves and the extract of the ginkgo leaves. The results of the experiments prove that the method is high in detection sensitivity and good in stability, and can be used for objectively, comprehensively and accurately evaluating the quality of ginkgo leaf medicines, the extract of the ginkgo leaves and ginkgo leaf preparations, thus having important significance on controlling the quality and guaranteeing the clinical treatment effect.

The invention discloses a method for evaluating service level of a plane signal intersection under a mixed traffic environment in the field of urban road traffic planning and management. The method comprises the following steps: determining evaluation indexes of the service level of the plane signal intersection under the mixed traffic environment; calculating the weight of the plane signal intersection under the mixed traffic environment of each index by using an analytic hierarchy process; calculating central points and standard differences of five service levels of the plane signal intersection under the mixed traffic environment by using a fuzzy clustering method, and solving a membership function of each evaluation index; acquiring index data of each index under the mixed traffic environment; calculating and controlling the membership degree of each level of each index to form a single-factor evaluation matrix; and using the single-factor evaluation matrix and the index weight to carry out integrated evaluation for each index under each level, and determining the service level according to the maximum membership rule. The method integrally considers the influences of various traffic factors comprising non-motor vehicle and pedestrian on the plane signal intersection, and evaluates the service level of the plane signal intersection more accurately.

The present invention provides a method and device for monitoring effective visits of an application program (APP), wherein the method includes: acquiring user behavior data; User behavior data of access behavior patterns, the effective access behavior patterns include: loading the APP and staying on the APP running page for a time greater than a preset time threshold; based on user behavior data statistics that conform to the effective access behavior patterns The effective number of visits to the APP. The present invention can accurately identify the valid visits to APPs and count the effective visits of APPs, so as to make it a basis for accurately evaluating APPs, sorting APPs, or allocating resources reasonably.

The invention discloses a driving behavior analyzing method based on vehicle-mounted data. The driving behavior analyzing method comprises the following steps of collecting driving data of automobiles in a real time manner; deleting invalid driving data according to bit mask; performing deletion or modification on exceptional data; performing descriptive statistic on the driving data so as to obtain statistic driving data; through an analytic hierarchy process of group decision, obtaining the weight distribution of evaluating indicators; through a method for scoring by an expert, obtaining scores during a stroke period; through a conformability principle, obtaining the duration of the stroke, the average velocity of the stroke, and the ride comfort scores of the stroke; and according to the weight distribution of the evaluating indicators and the score, obtaining a scoring matrix of the driving data. The invention further discloses a driving behavior evaluation system based on the vehicle-mounted data. According to the driving behavior analyzing method and evaluation system based on the vehicle-mounted data, through the level analysis method of the group decision, the weight of the driving data is obtained, and through the conformability principle, the score of the driving data is obtained, so that the driving behavior of a user can be accurately analyzed and evaluated.

The invention provides a shale oil resource evaluating method and device. The method comprises the steps that geological data of each region to be evaluated in a research region are obtained; a hydrocarbon production rate curve of the research region is searched for the hydrocarbon production rate corresponding to the organic matter thermal evolution degree of each region to be evaluated; the original organic carbon weight percentage composition of each region to be evaluated is calculated; the maximum organic matter porosity of each region to be evaluated is calculated; the ground organic matter porosity of each region to be evaluated is calculated; the shale oil resource abundance of each region to be evaluated is calculated; according to the area and the shale oil resource abundance of each region to be evaluated in the research region, the shale oil resource quantity of the research region is obtained through calculation. According to the shale oil resource evaluating method and device, the problem that when shale oil is evaluated in the prior art, only organic matter porosity is considered, factors such as non-movable oil are not removed, and therefore the determined shale oil resource quantity is inaccurate is solved, and the evaluating result accuracy is improved.

The invention provides a pretreatment method of iris images based on gray information. A rough circle center (xo, yo) of a pupil is located through binary, mathematical morphology, gray projection and other operations, the point, which has a gray value larger than T and the shortest distance to the (xo, yo), is searched at a plurality of lines close to the (xo, yo) from the center to the two sides as a pupil boundary point; the accurate circle center and the radius of the pupil can be located through curve fitting; the gray level first difference of the lines where the searched pixel points lie is calculated and the point with the largest value of the sum of the level first difference is searched in the range of places where iris external boundary point possibly appears and taken as the iris external boundary point; the accurate circle center and radius of the iris external boundary is obtained after curve fitting. The quality of iris image is judged through calculating point sharpness and number of effective pixel points according to the normalized image. The pretreatment method of iris images of the invention not only can decrease the time needed by repeated iteration during location, but also can judge the quality of iris image accurately and quickly according to the extracted iris image.

This invention relates to a bone measurement method for measuring a bone shape, structure and architecture on the basis of the tomographic images of a test bone or joint, in more detail, to a bone measurement method characterized by having a template image extraction step for obtaining a wholly continued template image of a bone inner portion surrounded by a cortical bone from the binary image of a test bone cross section, and separating a cortical bone and a cancellous bone by the product of said template image and said binary image, as a bone measurement method which enables the automatic, high-speed and repeatable separation of a cortical bone and a cancellous bone on the basis of the binary image of a test bone or joint cross section and by which a separated three-dimensional image of the cortical bone portion and the cancellous bone portion is obtained as the bases for a non-invasive analyses of three-dimensional bone structure, bone strength, and the like.

The invention provides a simulation verification method for low voltage ride through (LVRT) of a wind farm. The method comprises the following steps of: analyzing operating characteristics of a wind generation set according to a verified wind generation set electric simulation model; establishing a wind farm electric simulation model, and verifying whether the wind farm has LVRT or not; and establishing a regional power system simulation model comprising the wind farm electric simulation model, and verifying influence of wind farm grid connection on secure and stable operation of a power system. The invention provides a complete and effective method for verifying the LVRT of the wind farm; and the method has positive significance on judging whether the wind farm meets the grid connection requirement or not, avoiding large-scale wind power off-line accidents and ensuring secure and stable operation of a power grid, and lays a foundation for establishing and perfecting a wind power grid-connected authentication system in China.

The invention discloses a supercritical carbon dioxide fracture-creepage-seepage test device for high-temperature high-pressure coal petrography. The device comprises a triaxial cell, a supercriticalcarbon dioxide generator system, an axle load and confining pressure loading system, an acoustic emission monitoring system, a temperature rise control system, a deformation-pressure monitoring systemand a permeability measuring system. The device is capable of realizing the supercritical carbon dioxide fluid fracture test of coal petrography under high temperature and high pressure, monitoring and recording the temperature and pressure changes of supercritical carbon dioxide and characteristics of fracture cracking and extension in the supercritical carbon dioxide fracture process in real time, monitoring and recording the axial and radial deformations of coal petrography samples in real time, directly and effectively measuring the DH4 permeability of the coal petrography before and after the fracture without unloading the coal petrography sample stress, and measuring the CH4 permeability of the coal petrography after the fracture under the action of creepage. The measurement methodis high in precision, intuitional and high in automation degree, and the device is simple in structure.

The invention discloses a travel time index entropy traffic circulation evaluation method which comprises the following steps of a, calculating the free stream speed of each road section in a road network according to historical speed data provided by road network vehicle detection equipment, b, calculating the travel time index of each road section, c, calculating cut-off positions of the travel time indexes according to a quantile method or road capacity, d, calculating discrete probability distribution of the travel time indexes of a probe vehicle, e, calculating the entropy of the travel time indexes, f, calculating the highest possible value of the entropy as the upper limit of a dynamic range through the maximum entropy theorem, g, using the minimum entropy value Hmin of the travel time indexes as the lower limit of the dynamic range of the entropy of the travel time indexes, and h, carrying out normalization processing between the upper limit and the lower limit of the dynamic range of the entropy to obtain a road network traffic circulation evaluation value. The travel time index entropy traffic circulation evaluation method is a scientific characterization method of traffic circulation states, and measurement of traffic jam severity degree is achieved from the aspects of system confusion and randomness and uncertainty of travel time.

The invention discloses a small multifunctional sample room for LIBS (laser-induced breakdown spectroscopy), whose structure mainly includes an openable closed cavity, a focusing lens arranged on a casing top of the cavity, a sample plate mounted on a rotatable lifting column table positioned at the center of the bottom of the cavity, and a signal collection device placed on the casing wall of the cavity and connected with an external detector, wherein no less than one sample cell is designed on the sample plate, is positioned in the sample plate and can rotate to the position below the focusing lens during the rotation of the sample plate; and a lens of the signal collection device points to the sample cell rotating to the position below the focusing lens. The small multifunctional sample room disclosed by the invention can be used for bearing solid particulates, powders and liquid samples simultaneously for measurement, has the characteristics of excellent focusing performance, tightness and working performance, small volume and the like, can be integrated in a laser optical spectrum analyzer or used independently, and is particularly suitable for simultaneously analyzing in-situ collected scraps, rock and slurry samples in petroleum drilling and geological exploration.