56results about How to "Choose science" patented technology

The invention discloses a pedestrian re-identification model, method and system for adaptive difficulty mining. The identification method comprises the steps of: randomly dividing sample pictures intoa training set used for each iteration, inputting the training set into a convolutional neural network, obtaining the probability that each sample pair belongs to a positive or negative sample pair by using a softmax function, and then obtaining the loss of each sample pair by using a multinomial logistic function; obtaining a difficult sample pair by using the loss of each sample pair; and training the convolutional neural network by using the difficult sample pair until the current number of iterations reaches the upper limit of the number of iterations, thus obtaining the pedestrian re-identification model. The pedestrian re-identification model is used to extract features of each picture in a picture set to be identified, and then a similarity order of the sample pairs in the pictureset to be identified is obtained. The pedestrian re-identification model, method and system avoid over-fitting and under-fitting, and have high recognition accuracy.

The patent discloses a method for selecting sensing node based on key road segments in crowd sensing system, and the method comprises the following steps of: step 1, constructing a crowd sensing system; step 2, determining the key road segments; step 3, the cloud platform selecting the key road segments and delivering the sensing task; and step 4, the cloud platform selecting the sensing node based on the key road segments. The invention adopts the crowd sensing technology to monitor the traffic state of the road network, and solves the problem that the installation and maintenance cost of fixed detectors is too high.

The invention provides a method for showing the mobile phone program change process. The method for showing the mobile phone program change process comprises the following steps that a testing system is established, wherein the testing system comprises a mobile phone to be tested, a high-frame-rate shooting device and a mobile phone control device, the mobile phone is arranged in the direction opposite to the shooting device, and the mobile phone control device is used for triggering start and running of programs; a camera is calibrated before testing so that distortion of an image is reduced; key frames of mobile phone program changes are selected. By the adoption of the method for showing the mobile phone program change process, the mobile phone program change process is shown by selecting the key frames, the key frames are obtained by selecting stable frames and change frames in program change, it can be guaranteed that program changes can be scientifically and accurately shown by the mobile phone, the method is simple and easy to implement, selection is accurate, effective showing data can be obtained, a satisfactory effect can be achieved, and an accurate basis is provided for evaluation of the program running states of smart phones.

A Chinese medicine in the form of capsule for treating bone tuberculosis, arthritis and wood non-healing is proportionally prepared from 10 Chinese-medicinal materials including centipede, toad venom, scorpion, borneol, etc through pulverizing, mixing and loading in capsules.

The invention discloses a successive projection algorithm based near-infrared wavelength variable selecting method. The selecting method includes classifying a full spectrum into a relevant wave number point set, an irrelevant wave number point set and a noise wave number point set by means of a weighted value method, selecting a wave number point set from the relevant wave number point set and the irrelevant wave number point set, establishing a rectifying model, and judging importance of newly selected wavelength variables by means of rectangular projection. The successive projection algorithm based near-infrared wavelength variable selecting method overcomes the linear dependence, effectively reduces data dimensions, extracts interpretation information to the greatest extent, and ensures the established rectifying model to be with high stability.

The invention relates to a bisecting K-means algorithm based on a density dividing principle. Through the bisecting K-means algorithm, a data set is divided into two clusters. Furthermore by means of a dbscan algorithm, the number of sub-clusters which can be obtained through dividing all the clusters is obtained. The cluster with largest number of sub-clusters is further divided through the bisecting K-means algorithm. Clustering is finally finished through continuous iteration. The bisecting K-means algorithm has advantages of overcoming a defect of low sensitivity to cluster shape in an sse minimum dividing principle, more scientifically selecting the cluster to be divided, effectively improving clustering accuracy, furthermore realizing requirement for comparison of the number of sub-clusters in each cluster on the condition of same neighbor radius and number-of-points threshold, preventing clustering accuracy reduction caused by improper neighbor radius and number-of-points threshold setting, overcoming a defect of incapability of eliminating noise points in partitioning clustering, and realizing high realistic meaning.

The invention relates to the technical field of cloud computing, and discloses a cloud platform node selection method and system. The method comprises the following steps: acquiring geographic position information of nodes and dividing nodes at the same geographic position in the same node class according to the geographic position information; acquiring one or a plurality of designated node class(es) to serve as a current node class; acquiring operating condition information of the nodes in the current node class and sorting the nodes in the interior of the current node class according to the operating condition information; and acquiring designated nodes in the current node class according to the sorting, and providing the designated nodes to a cloud platform. According to the invention, the balance in the process of selecting the nodes for the cloud platform is ensured. Moreover, according to the invention, a function of filtering the nodes according to the requirements of application is also realized and the nodes which do not meet the requirements can be filtered out.

The invention discloses a bituminous mixture uniformity evaluation method based on a virtual split test. The method comprises the following steps: firstly acquiring a cylindrical bituminous mixture test piece; then acquiring multiple two-dimensional horizontal cross section images of the bituminous mixture test piece, and converting the acquired images into grayscale images; and then obtaining boundary coordinates of each aggregate and each gap by utilizing the cross section and grayscale images of the bituminous mixture test piece, building a three-dimensional discrete element model for a bituminous mixture test piece split test and performing the virtual split test, thus obtaining split strength, and calculating a variable coefficient of the split strength index, so that uniformity of abituminous mixture is evaluated. The method disclosed by the invention is based on the virtual split test, can perform quantitative evaluation on the uniformity of the bituminous mixture by adopting the variable coefficient of the split strength index and has strong industrial applicability and operability; and compared with other methods, the method disclosed by the invention is more scientific and representative in uniformity parameter selection, and an evaluation result on the uniformity of the bituminous mixture is more accurate.

The invention provides an operation decision-making method and system for artificial precipitation (snow) ground smoke furnace. The method comprises the steps: carrying out the real-time monitoring ofthe development and evolution of precipitation echoes through employing a Doppler weather radar which is a main tool for artificial influence weather operation command; in combination with a ground weather situation field, a wind profile radar and an ADMS model to perform AgI smoke agent diffusion simulation and comprehensive analysis on vertical wind field reanalysis data and the like, researching and establishing an artificial precipitation (snow) ground smoke furnace operation decision-making method. By using the method, the selection of the operation time of the artificial precipitation (snow) ground smoke furnace is more objective, scientific, simple and feasible, and the problems of secondary pollution of smoke agent descending, loss and waste of smoke cartridges and the like causedby blind selection of the operation time are avoided.

The invention relates to a preferred method for consistency index of waste power battery based on clustering and information entropy, which relates to the field of index evaluation of waste power battery, comprising the following steps: index selection; any index related to battery attribute can be brought into an optional index database; Primary selection, excluding invalid indicators such as unavailable data; Screening, through correlation analysis and clustering analysis to remove redundant information more than the threshold of the index; Preferably, the entropy of information is calculated, and the index with the highest significance is retained by the combination of clustering analysis. The open selection index of the invention is reasonable in design, and more scientific and effective battery consistency evaluation index is obtained through a series of quantitative analysis.

The invention discloses a home service robot intelligent navigation algorithm adapting to a complex environment, which integrates information of multiple sensors, reconstructs the working environmentof a robot in real time, effectively enhances the robustness of a system and realizes all-time and all-weather navigation and positioning of the robot in a strange environment. According to the invention, an evaluation model is established, an optimal local path planning algorithm is selected, and the local path planning algorithm is optimized in combination with the height information, so that the problem that a robot cannot accurately judge whether an obstacle exists in a current advancing path or not due to the fact that the robot cannot sense the height information on a map is solved, andthe traditional ant colony algorithm is optimized., and the problem of path planning when the home service robot has a plurality of necessary working points is solved. Meanwhile, the algorithm has higher convergence speed, and the performance of the algorithm is obviously improved.

The invention provides a method for realizing communication between mobile terminals by use of FM. The method comprises the following steps: all available signal frequencies within a predetermined range in the surrounding area are scanned, and the signal frequency parameters of the signal frequencies are acquired; the signal frequency parameter of an interactive mobile terminal communicating with a target mobile terminal is acquired; a shared signal frequency of the target mobile terminal and the interactive mobile terminal in transmitting/receiving is calculated according to the signal frequency parameter of the target mobile terminal and the signal frequency parameter of the interactive mobile terminal; and frequency-modulation FM signal communication with the interactive mobile terminal is realized by use of the shared signal frequency. According to the invention, the signal equality of a signal frequency at which each mobile terminal receives or transmits a radio frequency signal is enabled to be at a most appropriate level. The problem that the signal quality is poor when some mobile terminals receive a radio frequency signal is solved.

The invention discloses a CORS site selection method based on a checkerboard test. In a traditional inter-earthquake deformation research, a CORS site for inversion is selected from a site on a block around a fault zone, and blindness is achieved. The method comprises the following steps: symmetrically selecting a plurality of virtual line segments on two sides of a fault zone by utilizing GIS software; selecting a plurality of feature points on the virtual line segments as simulated CORS sites; arranging two rows of nodes in the trend and inclination direction of the fault zone; adopting a DEFNODE negative dislocation inversion program for carrying out forward and reverse checkerboard testing, wherein the smaller the color difference of checkerboard black and white grey-scale maps is, the higher the resolution of a testing node model to CORS site data and the reliability degree of inversion are, and the testing node model serves as a point selection basis. Research results of the method provide important reference and reference for seismic fault activity researchers in the fault point distribution process, and the expensive cost for constructing CORS sites is saved.

The invention discloses a method and device for determining a forced lane changing afflux point of an intelligent vehicle. The method comprises the steps of obtaining the lane changing microscopic information of a target vehicle, and the lane changing microscopic information comprising the speed and position data of the target vehicle, a leading vehicle in a target lane and a following vehicle; calculating a critical safety gap between the target vehicle and the following vehicle in the target lane; according to the free lane change type and the forced lane change type, calculating a polite factor mean value of the effective lane change number; determining a weight coefficient representing a driving characteristic, and calculating a polite factor of forced lane changing of the current intelligent vehicle; and according to the position relationship between the target vehicle and the leading vehicle in the target lane, calculating and determining the afflux point of forced lane changingof the current intelligent vehicle. According to the method provided by the invention, the interaction between the lane changing vehicle and the front and rear vehicles in the target lane is comprehensively considered, the lane changing afflux point selection is more accurate, a scientific and reasonable judgment and decision basis is provided for a driver or the intelligent vehicle, and a guarantee is provided for road traffic safety and driving efficiency.

The invention discloses a waste power battery consistency index optimization method based on clustering and an average entropy ratio, and relates to the field of waste power battery index evaluation,which comprises the following steps: index sea selection: any index related to battery attributes can be included into an alternative index library; Primarily selecting, rejecting invalid indexes suchas data unavailability and the like; Screening is conducted, and indexes with redundant information amount larger than a threshold value are deleted through correlation analysis and clustering analysis; optimal selection, the average entropy ratio is calculated, and an index with the highest significance is reserved and selected in combination with a clustering analysis map. According to the method, the indexes are selected in an open manner, the design is reasonable, and more scientific and more effective battery consistency evaluation indexes are obtained through a series of quantitative analysis.

The invention provides a tire curing bladder and a preparation technology thereof, and belongs to the technical field of rubber tires. The technology includes two stages, wherein in the first stage, 268 butyl rubber IIR, 1/2 carbon black N330, 1/2 carbon black N330 and other materials except 202 resin are added in sequence; in the second stage, first-stage rubber is added, filtering is carried out, the 202 resin is added, standing is carried out, and curing is carried out. The curing bladder and the preparation technology thereof have the advantages that the materials are scientific and environmentally, the cost is low, the economic benefit is good, and the yield is high. The tire curing bladder and the preparation technology thereof are reasonable in design, the raw materials are easy toobtain, the formula is simple, the safety and reliability are achieved, the technology is convenient to operate and easy to master, and the application and popularization value is good.

The invention provides an industrial land performance evaluation method and an industrial land performance evaluation device. The industrial land performance evaluation method comprises the followingsteps: S1, determining an evaluation object and an evaluation unit; S2, constructing an industrial land performance evaluation index system; S3, obtaining evaluation index values through multiple ways; S4, determining an evaluation index weight and performing index standardization processing; S5, calculating and grading performance evaluation scores of the industrial land; S6, correcting evaluation results. Through performance evaluation, the land is determined by an enterprise, and the enterprise is managed according to the land. Enterprise saving intensive development is guided, element resource utilization benefits are improved, and enterprise high-quality development is promoted; industrial land management is better served, orderly development of low-efficiency industrial land redevelopment work is promoted, and industrial transformation and upgrading are promoted.

The invention relates to a principal component and maximum entropy ratio stock market investor sentiment surrogate index selection method, which relates to the field of stock market investor sentimentmeasurement, comprising the following steps: index selection; any index related to stock market or investor being brought into a candidate index database; primary selection, excluding invalid indicators whose data are not available or whose data are not continuous; screening, rejecting irrelevant indexes by irrelevant analysis; selection, through correlation analysis and clustering analysis to remove redundant information more than the threshold of the index; the ratio of information entropy to maximum entropy being calculated by principal component analysis, and the index with the highest significance being retained by cluster analysis. The open selection index is reasonable in design, and the reserved quantity of the index is determined through a series of quantitative analysis, so as to obtain a more scientific, more inclusive and broader proxy index for investor sentiment measurement.