149 results about "Paired comparison" patented technology

The invention discloses a network device based on a customer identity verification system, which aims to solve the problem that the cases resulting from name borrow and false name happen occasionally due to the shortcomings existing in the process of manually verifying the customer identity in the current financial industry. A customer terminal consists of a group of self-service information acquisition and real-time comparison terminals which perform real-time comparison on the information acquired by a camera and a second-generation identity card reader and directly transmit the acquired information and the comparison result to a background server or forward through a middleground server; and a third-party server reads the required information and comparison result directly from the background server database through a communication interface or through the middleground server. Through the invention, the identification accuracy of the customer identity is high, and the cases resulting from name borrow and false name in the banking business are greatly reduced. In combination with the characteristics of the bank, the information can be acquired in a self-service manner and automatically identified and compared to avoid human risk in the banking business, thereby laying a firm foundation for the sustainable development of the bank.

The invention discloses a blower fan load high-efficiency assessment system. The blower fan load high-efficiency assessment system includes a querying module of a load simulation database, wherein the querying module can query and manage simulation input data and load data of all types of research and development machines, such as a unit boundary condition, tower size, blade design data, a complete machine Bladed model, and load data of main parts, blades, and a tower; a load comparison and sensitivity analysis module which can perform comparison analysis on boundary conditions, main part loads, and blade and tower loads of different projects, and perform sensitivity analysis on loads of identical projects with different boundary conditions; and a unit load strength applicability assessment module which can interpolation-calculate a load corresponding to a specific site based on mass load simulation data change for boundary condition parameters such as the air density, the annual average wind speed, the turbulence intensity, wind shear, and the inflow angle, and can perform strength assessment on parts according to strength assessment margin of a reference project. The blower fan load high-efficiency assessment system can improve the calculation efficiency of a blower fan generator unit load, can shorten the life period, and can save cost.

A method of providing a comparison among offerings includes displaying a tabulation of two or more criteria for two or more offerings. An input is received from a user relating to a first one of the criteria in the tabulation. Based on the input received from the user for the first one of the criteria, the tabulation is modified with respect to one or more criteria other than the first one of the criteria.

The invention relates to a ship monitoring method. The monitoring method comprises a target identification method and a target tracking method, wherein in the target identification method, after an intercepted real-time video image and a background image are subjected to differential operation and binarization, a ship target is obtained by using a region growing algorithm, and the identified ship target is tracked and locked. By matching the target identification method, the target tracking method, a target locking method and a pairing comparison and database management method, a monitoring system can capture a ship and acquire continuous ship video under the condition of fog or night so as to realize all-weather monitoring of a shipping lane, ensure smoothness of the shipping lane and safety of the ship, reduce manual operation and realize automatic management; and the data information and the like acquired by monitoring are stored into a database, so that the data information and the like are convenient for digital management of the ship, can be timely called as required and can assist managers in learning more information about the ship.

A field ready, unsupervised-use ready, method and apparatus for audio fitting a hearing aid is described in a hand held configuration having paired comparisons (hearing selections) stored in and derivable from a memory therein. The paired comparisons are presented one at a time to a user and a preferred selection for each paired comparison is made by a select indicator after the user toggles back and forth between the selections for as many times necessary in determining their preferences. A genetic algorithm converges all the preferences upon a single solution. Crossover and mutation genetic algorithm operators operate on a linear range of indexes representative of parametric values of the pairs. A fully integrated hearing aid having all the above described features incorporated therein is also presented.

The present invention relates to an online voting system and more particularly, the invention relates to a system having at least two key databases one being the item database in which list of movies, songs, or such/or other items of entertainment value to online users can be used and the other being the pairing database which includes a list of all paired comparisons between any two items in the said item database. Importantly the present invention is directed to a method and/or system to enable comparison of items in a database using the principals of paired comparison by applying the laws of comparative judgment.

The application provides a multi-channel analysis method and a multi-channel analysis device based on an analytic hierarchy process. The method comprises the steps of: acquiring a sub-target of each channel and an index corresponding to each sub-target, building a sub-target layer paired comparison matrix table by using the sub-targets corresponding to the channels as factors, building an index layer paired comparison matrix table by using the indexes corresponding to the sub-targets of the channels as factors, computing a weight coefficient corresponding to each sub-target of each channel according to the sub-target layer paired comparison matrix table, computing a weight coefficient corresponding to each index in each sub-target of each channel according to the index layer paired comparison matrix table, acquiring a quantity value of each channel at the same index, setting an effect value of each channel at each index according to the quantity value, and weighting the weight coefficients and the effect values to obtain a final assessing score of the channel. According to the multi-channel analysis method and device based on the analytic hierarchy process, a more scientific and accurate multi-channel assessing result can be provided.

The invention discloses an AHP (Analytic Hierarchy Process) based assessment method of the teaching quality of fuzzy comprehensive remote education, comprising the following steps of: determining index weight by applying AHP; and determining a total assessment result by applying a fuzzy comprehensive assessment method. A method for determining the index weight by applying the AHP comprises the following steps of: establishing a hierarchical structure of a researched problem; judging a matrix by determining paired comparison; carrying out hierarchical single sequencing; carrying out hierarchical total sequencing, and calculating the combinational weight of all elements of a same hierarchy; and carrying out consistency check. The assessment method of the teaching quality of quantitative remote education carries out the data processing by establishing a fuzzy comprehensive assessment model based on the AHP, introducing a theory into the assessment of the teaching quality of the remote education, determining the weight of assessment factors by using the AHP and then establishing a mathematical model by using a fuzzy comprehensive assessment method, thereby transforming the assessment problem into the multiplication problem of the fuzzy matrix for processing.

The invention discloses a method for improving the culture selection efficiency of the hybrid rice. The method is characterized by comprising the following steps: selecting a good plant line in the field with the reference to restorer line Kehui 675: selecting the restorer line Kehui 675 with a great restoring ability as a female parent and the LAC 23 which contains a rice blast resistant gene Pi-1 and comes from Libya as a male parent to obtain a F1 hybrid seed through hybridization; carrying out the inbred of the inbreeding of the F1 hybrid seed to obtain a F2 generation seed; establishing a parent tropic selection group with the reference to the F2 generation seed; harvesting the selected parent tropic individual plant and the Kehui 675 seed; making use of the differential molecular mark between the Kehui 675 and the LAC23 to select the plant line containing the rice blast resistant gene Pi-1 with the reference to the mark of the LAC23; and through the cross selection of parental pair comparison and pedigree seed selection, obtaining the F6 generation and selecting the public plant line with a strong restoring ability and rice blast resistance. The method has the advantages of improving the selection efficiency, polymerizing a plurality of advantageous genes, and creating new excellent resources.

The invention provides a security risk assessment method for a block chain. The security risk of the block chain is quantified at the two aspects of technical architecture and activeness. The method comprises the following steps of firstly, establishing a block chain trusted computing base (BTCB) model according to a block chain technical system architecture; designing a security sensitivity analysis method combining AHP (Analytic Hierarchy Process) and pairing comparison, distributing a security sensitivity weight for each security risk influence factor, and finally constructing a security risk scoring function of the block chain. At an experiment part, the method is adopted to score 30 important public chain block chain projects at present, the comparison and analysis are carried out onthe scores, the scores are compared and analyzed with a Cydive public chain technology evaluation index and a Weis encrypted currency rating, and an experiment result shows that the method has certainfeasibility.

An automated cephalogram image analysis method is disclosed. In this method, a step is first performed for building a reference database in which a set of tracing feature curve models respectively representing a set of reference cephalometric patterns are established based on a set of tracing records. Then, a step of pattern comparison and analysis is performed. In this step, at least one cephalogram is first input, and then a step is performed for comparing the image of the cephalogram with the tracing feature curve models, thereby selecting at least one cephalometric pattern and at least one feature curve model belonging to the cephalometric pattern from the reference cephalometric patterns and the tracing feature curve models. Thereafter, the feature curve model is fitted to the image of the cephalogram so as to obtain at least one tracing of the at least one cephalogram.

The invention discloses a method and a device for identifying and eliminating false positive in nucleic acid variation detection. The method of the invention comprises the steps of reading a variationdetecting software result file of a to-be-detected sample; reading a comparison file of a sequence read after eliminating PCR repetitions, and obtaining a read pair comparison result which is coveredby each variation site; determining whether the variation site is in a read pair overlap area of the DNA molecule, and performing analysis and statistics on the read pair which is covered by each abrupt change; performing statistics on each molecule and the read which support the abrupt change, and marking a characteristic which can be used for filtering the abrupt change; and filtering the variation site based on the characteristic value. According to the method of the invention, nucleic acid variation detecting results are filtered according to the distribution characteristic of nucleic acid variation false positive sites and true positive sites; not only can the false positive sites be effectively eliminated, but also accuracy of a nucleic acid variation detecting result is improved.

The invention provides a tumor mutational load detecting method, a device and a storage medium. The method comprises the steps of acquiring mutation frequency data of a single testing sample, whereinthe mutation frequency data comprise the site mutation frequency of a sample target area, comparing the site mutation frequency with a preset threshold for obtaining a mononucleotide mutation which ishigher than the threshold, and eliminating meaningless mutation in mononucleotide mutation for obtaining the number of effective mononucleotide mutations; acquiring Indel mutation frequency data of the single testing sample, wherein the Indel mutation frequency data comprises the Indel mutation frequency of the sample target area, comparing the Indel mutation frequency with a preset threshold forobtaining the number of the Indel mutations which are higher than the threshold; calculating the number of the tumor mutational load according to a number evaluation formula of the tumor mutational load, wherein the number estimation formula comprises the weight item of the number of the effective mononucleotide mutations and the weight item of the number of the Indel mutations. The method according to the invention accurately detects the TMB index of the lung cancer sample under a precondition of no dependence to a common database and a normal pairing comparison sample.

The invention discloses a spectrum allocation method based on graph coloring and an analytic hierarchy process in cognitive radio. The method comprises the following steps: 1, establishing a recursion order hierarchy structure; 2, constructing paired comparison matrixes; 3, performing single hierarchical sequencing and checking the consistency; 4, performing total hierarchical sequencing, i.e., calculating the weight of relative importance of all factors on each layer relative to the highest layer from top to bottom to obtain a weight sequence of each scheme in the bottom layer relative to a target so as to select a scheme, and checking the consistency too in the total sequencing process, wherein the relative weights of all available spectrum resources about the total target can be normalized into a weight vector by the total hierarchical sequencing, and the spectra corresponding to the maximum value are selected for next allocation in the algorithm; and 5, allocating the selected optimal spectra by using a coloring algorithm in the graph theory. A sequence of spectrum qualities is obtained by analysis and decision on multiple attributes of all current available bands, so that a reasonable spectrum access strategy is provided.

The invention relates to a hash data structure used for file comparison, a hash comparison system and a method. The hash data comparison system according to the embodiment types can compare the source files by using the hash data comprising the file information and the hash value. The hash data comparison system comprises a file information generation unit, a hash generation unit, and a control unit. The file information generation unit examines the attribute of each of the source files, and generates the file information related to the source files. The hash generation unit can calculate the hash value by applying the hash function algorithm on at least a part of the source files. The control unit can generate the hash data by aiming at the corresponding source files, and the hash value comprises the file information and the hash value. Therefore the invention is advantageous in that all the hash values are not required to be compared in different files, and the files can be compared more quickly.

The invention discloses a face identification system in a parking lot. The face identification system comprises a card reader, a vehicle detection device, an image collecting device, a computer portrait orientation module and a computer identification module, wherein the card reader, the vehicle detection device, the image collecting device and the computer portrait orientation module are used for extracting face details; and the computer identification module is used for processing received face image data, achieving face identification and sending identification results to a monitoring center or a toll house, and other application occasions. In the monitoring center or the toll house, and other application occasions, face comparison is performed when a vehicle exits the parking lot, thus protecting the vehicle from being stolen by a person other than the owner of the vehicle. The face identification system is used in combination with a parking lot management system, wherein the computer identification module processes the received face image data, achieves face identification and performs face comparison when the vehicle exits the parking lot. The face identification system is stable and reliable and achieves clear face identification without identification mistakes, thus solving a problem of lacking artificial guard, facilitating security improvement of the parking lot and effectively preventing economic loss caused by vehicle from loss.

The invention discloses a ship plate recognition method based on deep learning feature comparison, and the method employs a deep learning convolutional neural network technology to construct a ship plate detection model and a ship plate character recognition model, is fast in calculation speed and high in precision, and has very high robustness for a variety of illumination, backgrounds, environments, ship appearance changes and the like. Variability and diversity of Chinese characters in ship plate character recognition are fully considered; the number recognition and the Chinese character recognition of the ship plate characters are separately processed; a staged training method is adopted, wherein the method comprises the following steps: firstly, performing training on a ship license digital data set based on logistic loss and cense entropy loss; and carrying out training on the ship plate Chinese character data set based on the logistic loss and the triplet loss, so that the training efficiency and the convergence speed are ensured. In addition, based on triplet loss training, the situations of more types and uniform distribution of ship plate Chinese character data sets can be effectively handled, the inter-class difference is increased while the distance in the class is reduced, and the recognition effect is improved.

A comparison routine for comparing two data strings includes pre-processing, copying letters and digits into local buffers, comparing the contents of the local buffers using a left-to-right, walk-forward scanning algorithm, including selecting a first item from each buffer and comparing them and, if the two first items are the same, advancing to the next two items from each buffer, continuing with the comparison of subsequent buffer items until all pairs of items have been compared as long as no mismatch of items is found, and when a mismatch is encountered, the algorithm looks ahead in the data strings, searching for an identifiable pattern. A pair of independent search pointers are initially set to a first character in each data buffer and adjusted if a matching character pattern is found. A processing loop sequentially tests for a number of character patterns. If a matching character pattern is found, the match is scored, incrementing the score by one point for each matching character pattern that is found. If none of the character patterns is found, or the end of either string is reached, the processing loop is exited and the scoring data is collected.