32results about How to "Avoid subjective bias" patented technology

The invention provides a method of releasing electronic coupons in a marketing activity. The coupons are released as a predetermined time unit. The method comprises the following steps of acquiring a receiving quantity, a usage quantity and a usage sum of the coupons from beginning of the marketing activity to an end of an ith predetermined time unit, wherein the usage sum is a budget limit consumed by a user when using each coupon; according to a residual budget limit of the marketing activity, a residual predetermined time unit number, an average single usage amount and a coupon utilization rate, determining a coupon releasing number of an i+1th predetermined time unit; and sending the coupon releasing number of the i+1th predetermined time unit to a marketing platform. In the technical scheme, a subjective deviation of operation personnel during manual releasing quantity prediction is avoided, a marketing activity effect is increased and simultaneously a workload of the operation personnel is reduced.

The invention provides a traditional Chinese medicine placebo preparation process. The invention also provides a traditional Chinese medicine placebo and an evaluation method of the placebo. According to the invention, a small amount of an original preparation (granule, mixture, tablet, capsule, pill, external preparation, and the like) is taken and prepared into a traditional Chinese medicine placebo, the similarity of properties of the placebo and the original preparation is high, and the placebo has no physiological activity, therefore, the placebo is more suitable for clinical and experimental research; meanwhile, the invention also provides a multi-sensing information fusion based intelligent sensory evaluation method for the traditional Chinese medicine placebo, which is implemented through simulating three sensory organs, namely, eye, nose and tongue of the human body respectively by using a machine vision (visual sensor), an electronic nose (smell sensor) and an electronic tongue (taste sensor), so that the objective quantification of properties evaluation of the traditional Chinese medicine placebo is realized, and the subjective deviation caused by the experiential sensory evaluation of people is avoided.

A marine propeller blade laser automatic measuring device of the invention includes a fixed base; and a lifting and fixing rod and a propeller fixing seat that are mounted at both ends thereof. The propeller fixing seat has a rotating fixed table. A propeller hub is clamped and embedded between inner and outer pressure plates of the fixed table and is driven by an internal motor to rotate. The fixing and lifting rod is driven by an internal cylinder to expand and contract, so as to fit more propeller blade dimensions, two sliding rods are respectively mounted on upper and lower ends thereof, sliding blocks are also slidably mounted on the sliding rods, laser measuring pens are mounted fixedly on the sliding blocks, laser measuring heads of the laser measuring pens are respectively arrangedopposite to each other on upper and lower end surfaces of a propeller blade, and under the drive of a synchronous motor, the sliding blocks slide on the sliding rods to drive the laser measuring heads to move in a radial length of the propeller blade to achieve dynamic measurement. Under the drive of the synchronous motor and the motor in the propeller fixing seat, the measurement automation is fully realized, subjective deviations caused by manual measurement are avoided, the measured data are more accurate and comprehensive, and the measurement accuracy is higher.

The invention relates to a blast furnace comprehensive state prediction method and system, and relates to the field of quantification and prediction of unmeasurable key parameters in the complex blastfurnace ironmaking process. According to the invention, the method comprises the steps of carrying out applicability detection on sample data; determining a common factor in the sample data conforming to the applicability preset standard by utilizing a factor analysis method; determining a sample blast furnace comprehensive state index according to the common factor; establishing a blast furnacecomprehensive state index prediction model by utilizing a correlation analysis method and an AdaBoost algorithm according to the sample blast furnace comprehensive state index; inputting to-be-predicted blast furnace production real-time data into the blast furnace comprehensive state index prediction model to obtain predicted blast furnace comprehensive state indexes; according to the predicted blast furnace comprehensive state indexes, the blast furnace comprehensive state is obtained through the blast furnace comprehensive state classification standard, and subjective deviation occurring when the blast furnace comprehensive state is judged according to production experience of field technicians is avoided.

The invention discloses a piano playing scoring system and method thereof. The method comprises following steps of extracting music characteristics of a played audio and carrying out normalization processing on the music characteristics; using the music characteristics subjected to the normalization processing as input of a neural network mathematical model, and acquiring key posterior probabilitycharacteristic sequences of the played audio; carrying out template matching processing on the key posterior probability characteristic sequences of the played audio and a key posterior probability characteristic sequences of a template audio to acquire multiple music characteristics for describing the matching degree so as to judge the played audio; and inputting the music characteristics for describing the matching degree into a piano playing scoring model so as to obtain scoring results. According to the invention, subjective factor deviations caused by personal difference of scorers in atraditional scoring method are avoided; the real level of players is truly reflected; and necessary scores can be provided for autonomous practices of piano learners.

The invention discloses a color gamut mapping method. The method comprises the following steps: acquiring a first connecting line between a white point of an original color gamut and an original pointof the original color gamut; obtaining a first mapping point of an intersection point of the first connecting line and the original color gamut in a target color gamut; acquiring a second connectingline between a reference point in the original color gamut and the first mapping point; obtaining color coordinates of a second mapping point of the original point in the target color gamut accordingto the white point, the reference point, the original point, the intersection point and the second connecting line; obtaining a brightness value of the second mapping point according to the original point and the white point; and obtaining a gray-scale value of the second mapping point according to the color coordinate and the brightness value of the second mapping point. The invention further discloses a color gamut mapping assembly and a display device. By automatically adjusting the expression of the color points in the original color gamut in the target color gamut, manual adjustment by professionals is not needed, subjective deviation is avoided, and color adjustment consistency is achieved.

The invention discloses a psychological disturbance scene matching method and device based on a deep learning algorithm. The method comprises the steps of obtaining corpus information of man-machine interaction conversations in different psychological disturbance scenes, and training the corpus information based on a deep learning algorithm to obtain a psychological disturbance scene matching model; acquiring real-time corpus information when a current user performs human-computer interaction conversations; and automatically matching a corresponding psychological trouble scene for the currentuser based on the real-time corpus information and a psychological trouble scene matching model. The problem that an existing subjective psychological scene selection mode is low in selection accuracyis solved, and accuracy and effectiveness of subsequent psychological counseling are affected.

The invention provides a quality evaluation method for a disparity map. The quality evaluation method comprises the steps of determining the mean value, the skewness and the peakness of the disparity map, and evaluating the quality of the disparity map according to the mean value, the skewness and the peakness. The invention further provides a quality evaluation method for a 3D video, which comprises the steps of acquiring an image from the 3D video, converting the image into a disparity map, and evaluating the quality of the disparity map according to the quality evaluation method for the disparity map, wherein the higher the quality of the evaluated disparity map is, the higher the quality of the evaluated 3D video is; the lower the quality of the evaluated disparity map is, the lower the quality of the evaluated 3D video is. The invention further provides quality evaluation devices for the disparity map and the 3D video. The evaluation qualities are improved.

The present invention discloses a power grid information system device state early warning method based on reverse fuzzy hierarchical analysis, and belongs to the technical field of power grid information system hardware device state early warning. The method comprises the steps of: constructing a difference index system reflecting an operation state of a power grid information system device; fitting a certain item daily operation curve of the device; solving an accumulated deviation value, performing mapping of 1-9 degree of the accumulated deviation value obtained by each index and the corresponding index, and obtaining a fuzzy consistent judgment matrix; calculating each index weight by employing the fuzzy consistent judgment matrix, and performing summation of weights of indexes belonging to a single device and performing averaging of the number of the indexes included by the device, and performing reverse obtaining of the weight of the single device; and making grading early warning for the operation state of the device and the information system. The method provided by the invention can fully respond to problems such as device aging or updating, business volume fluctuation and increasing of devices, can reflect change of the device state in real time, and can achieve dynamic early warning.

The invention discloses an editing method of a retinal vessel edge line. The method includes the steps of obtaining a vessel central line, drawing a plurality of tube diameter lines on the vessel central line at equal intervals, obtaining a first end point and a second end point input by a user on the vessel edge line, judging whether a continuous line exists between the first end point and the second end point or not, obtaining a judgment result, generating the correspondence between the first end point and the second end point on the basis of the judgment result, obtaining a first control point input by the user, adjusting the correspondence on the basis of the first control point to obtain the adjusted correspondence, and editing the adjusted correspondence on the basis of the tube diameter lines to generate the edited vessel edge line. The invention further discloses an editing device of the retinal vessel edge line. By reediting the vessel edge line, the accuracy of a retinal vessel image is improved; meanwhile operation is simple, operation steps are few, working content is reduced, and work efficiency is improved.

The invention discloses an automatic test question difficulty marking system. The automatic test question difficulty marking system comprises a port module, a test question information module, a student information module, a pushing module, a scoring module and a rating module; the port module is used for realizing data interaction between student users and the automatic test difficulty marking system; the test question information module stores teaching test questions and test standard answers; the student information module stores the user information; the pushing module is used for retrieving teaching test questions and pushing the questions to the port module; the scoring module is used for reading test question answers fed back by the port module and the test question information module, outputting right and wrong results and obtaining weight values based on the right and wrong results; and a difficulty module algorithm is pre-stored in the rating module, difficulty values are obtained based on the right and wrong results and the weight values, and the difficulty values are bound to the teaching test questions. The automatic test question difficulty marking system can realizethe automatic difficulty marking of the teaching test questions, reliance on teachers is reduced, labor costs are reduced, and subjective bias in difficulty labeling is avoided.

The invention relates to a grinder grinding wheel numerical control production line which comprises a rolling wheel screw rod. A driving motor is connected with the rolling wheel screw rod through a double-gear gap-removing speed reducer. The driving motor is connected with a programmable logic controller (PLC) grinding wheel control device. A signal output end of the PLC grinding wheel control device is connected with a signal input end of the driving motor. According to the grinder grinding wheel numerical control production line, by using of the PLC grinding wheel control device, automatic operation of grinding wheel producing processes can be achieved, subjective consciousness errors caused by manual direct machining or manual auxiliary machining are avoided, production efficiency is greatly improved, accurate requirements of machining technology are met, and product quality of grinding wheels is guaranteed.

The invention belongs to the technical field of civil engineering, and discloses a cement-emulsified asphalt mixture shrinkage behavior prediction method based on deep learning. The method comprises the steps: determining an image generation design parameter and a shrinkage performance design parameter; taking the designed cement-emulsified asphalt mixture data packet as to-be-trained data, and constructing an image generation training sample set; constructing and training a generative adversarial neural network model; constructing and training a shrinkage performance deep neural network; andgiving design parameters of a to-be-predicted mixture, and predicting the shrinkage rate of the target mixture by adopting the trained generative adversarial network and the shrinkage performance prediction model. According to the method, the shrinkage performance of the finally designed product can be accurately predicted through the design parameters, the design proportion of the cement-emulsified asphalt mixture can be rapidly optimized, and the method has positive significance in improving the shrinkage performance of the mixture.

The invention relates to a medical instrument for an orthopedic operation, and particularly relates to a screw placement device in the orthopedic operation. The device comprises an acromioclavicular joint screw placement device, a cervical vertebra pedicle screw placement device and a thoracolumbar vertebra pedicle screw placement device; and each of the acromioclavicular joint screw placement device, the cervical vertebra pedicle screw placement device and the thoracolumbar vertebra pedicle screw placement device comprises a part guide frame, the part guide frames are used for installing part positioning mechanisms and part screw placement guide pipes. Due to the implementation of the technical scheme, the device is simple in structure, convenient to use and low in cost, subjective deviation of an operator during screw placement is avoided, the operation risk is reduced, the operation time is shortened, the labor cost and the time cost are reduced, a more efficient and convenient replacement scheme is provided for the operator to carry out reduction operation on the acromioclavicular joint, and the device is suitable for wide popularization and application.

The invention provides a browser compatibility automatic test method, a system, equipment and a storage medium. The method comprises the steps: creating a compatibility test task according to a test demand and a tested system; compiling or recording a test script according to the test task, and managing the test script; the compatibility test cluster executes the test script to carry out a test and records test data; judging whether the test succeeds or not according to the test data, if the test succeeds, generating a test report, and pushing a test result to the user; if the test fails, the test script is executed again, and the test is carried out again. The compatibility test cluster is used for testing the tested system, and the test data is used for automatically judging whether the test succeeds or not, so that the data subjective deviation caused by manual test is avoided, the cost is saved, and the maintenance is convenient.

The invention relates to a lathe screw tap numerical control production line which comprises a ball screw. A driving motor is connected with the ball screw through a double-gear gap elimination speed reducer, the driving motor is further connected with a programmable logic controller (PLC) screw tap control device, and a signal output end of the PLC screw tap control device is connected with a signal input end of the driving motor. Due to the PLC screw tap control device, a screw tap production process can be carried out automatically. Thus, subjective consciousness deviation caused by manual direct processing or auxiliary processing is avoided, production efficiency is greatly improved, processing process can reach to accurate requirements, and screw tap product quality is guaranteed.

The invention provides a document classification method and device and a terminal, and belongs to the technical field of deep learning. The method comprises the following steps: determining a to-be-classified first document; determining a plurality of second documents corresponding to first option information in a plurality of pieces of option information and a plurality of third documents corresponding to second option information; determining a first prediction vector used for indicating the similarity relationship between the first option information and the second option information and a second prediction vector used for indicating the reasoning relationship between the description information and the first option information according to the description information of the first document, the plurality of the second documents and the plurality of the third documents; determining a third prediction vector of the first document according to the first prediction vector and the second prediction vector; and determining the category of the first document according to the third prediction vector. According to the document classification method and device, the category of the first document is determined by determining the similarity relation and the reasoning relation of the related documents of the first document, and therefore subjective deviation generated when the documents are classified manually is avoided, manpower consumption is reduced, and cost is reduced.

The invention provides a functional department recruitment system and device based on machine learning and a medium in the field of computers, and the system comprises: an initialization module whichis used for creating a database, a scoring rule and a plurality of score keywords at a server, and obtaining historical recruitment data; the machine learning module that is used for the server to train the score keywords, the historical recruitment data and the scoring rules by using a machine learning technology to obtain a score model; the scoring result generation module that is used for the server to obtain the latest recruitment data through the client and score the latest recruitment data by using the scoring model to generate a scoring result; and the scoring result storage module thatis used for storing the scoring result and the latest recruitment data in a database by the server and sending the scoring result to the client through an HTTP protocol. The invention has the advantages that the fairness, rationality and efficiency of recruitment are greatly improved.

The invention discloses a computer optometry unit. The computer optometry unit comprises a fogging light path and a focusing light path, and is characterized in that the focusing light path comprises a laser, a first light source lens, a second light source lens, a PBS, a first spectroscope, a second spectroscope, an objective lens, a first focusing lens, a second focusing lens, a telecentric diaphragm, a cornea objective lens and a first detector. The second spectroscope, the PBS, the first light source lens, the second light source lens and the laser are located on a first optical axis and are sequentially arranged on the same optical axis, the first spectroscope, the objective lens and the second spectroscope are located on a second optical axis and are sequentially arranged on the same optical axis, and the first spectroscope, the telecentric diaphragm, the cornea objective lens and the first detector are located on a third optical axis and are sequentially arranged on the same optical axis. The first focusing lens and the second focusing lens are symmetrically arranged along the third optical axis and are located between the first spectroscope and the telecentric diaphragm. The unit has the advantages that whether the vertex of the cornea is focused or not is judged simply, visually and accurately, the focusing accuracy of the vertex of the cornea is improved, and high-precision and high-repeatability measurement of human eyes is realized.

The invention relates to a lathe screw die numerical control production line. The lathe screw die numerical control production line comprises a ball screw, wherein a driving motor is connected with the ball screw through a double-gear anti-backlash speed reducer, and the driving motor is further connected with a programmable logic controller (PLC) screw die control device. A signal output end of the PLC screw die control device is connected with a signal input end of the driving motor. According to the lathe screw die numerical control production line, due to the fact that the PLC screw die control device is used, screw die production working procedures can be conducted automatically. Subjective awareness deviation brought by manual direct machining or auxiliary machining is avoided, and the production efficiency is greatly improved. The machining craft meets precision requirements, and the product quality of a screw die is guaranteed.