490 results about "Difference analysis" patented technology

The present invention relates to an improved method and apparatus for detecting and diagnosing disease states in a living organism by using a plurality of electrical impedance measurements. In particular, the invention provides for an improved electrode array for diagnosing the presence of a disease state in the human breast, and discloses a method of application of the array to the breast that ensures that the multiplicity of impedance measurements obtained from a first body part correspond as precisely and reproducibly as possible to the multiplicity of impedance measurements that are obtained from another, homologous, second body part. A number of diagnostic methods based on homologous electrical difference analysis are disclosed, including the calculation of a number of metrics used to indicate disease states by comparison with pre-established threshold values, and the construction of a number of graphical displays for indicating the location of disease to a body part sector.

A system for analyzing similarities between a first and second corpus or between a set of concepts and a corpus uses natural language processing and machine intelligence methods to replace terms or phrases in the corpus with concepts, determine the frequency of each concept in the corpus, and convert the corpus into a concept frequency file to enable easy comparison of the two corpuses or easy retrieval of items from the corpus that contain concept. Difference analysis and a combination of content and spectral analysis may be employed.

An evidence based cost modeling and predictive analysis system, and an incentives based plan to reduce healthcare costs are disclosed. An analytics system may generate incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecast of cost reduction based on financial incentives to recipients. The forecasts may include statistical trends, prevalence of diseases based on body mass index, and medical evidence associated with specific illnesses. A computer based program may process and analyze dependent and independent variables in electronically stored information (for example insurance, health and medical records). A health insurance provider may provide an annual rebate on paid premiums to recipients based on a qualifying annual BMI as an incentive. The recipients may receive the rebates in a qualified health reimbursement account (HRA) managed by the recipients towards future healthcare related expenditures.

The invention discloses a method for measuring an icing thickness of an insulator of a power transmission line based on video difference analysis. The method comprises the following steps of: shooting an on-site image by virtue of a video monitoring device; automatically acquiring boundaries before and after icing of the power transmission line by using an image processing technology comprising camera calibration, image graying, image enhancement, image partitioning and the like, and then quantificationally calculating the icing thickness of the insulator; and when the icing thickness of the insulator of the power transmission line exceeds a planned safety range, automatically alarming to indicate relevant departments to take deicing measures immediately. In the method, the icing thickness of the insulator is obtained by directly using an icing image of the insulator, so the theory is simple, the operation is convenient, the accuracy and the reliability are higher, various defects in the conventional method are overcome, and a new measure is supplied to safe detection for the power transmission line; furthermore, a large quantity of human resources and a large amount of cost can be saved; the utilization rate of an online monitoring system is increased; and the method has extremely important real significance for safe running of a power system.

The invention relates to a rice disease recognition method based on principal component analysis and a neural network. The method comprises the steps that rice disease image data are acquired and image preprocessing is performed; visual saliency detection is performed, and rice disease images of ideal disease spot outlines are searched from salient map sequences; features are extracted from the rice disease images from the aspects of color, shape and texture, and difference analysis and principal component analysis are performed so that different feature combinations are found; and construction of a machine learning model is performed on different feature combinations and a prediction result is fed back to a client side. The invention also discloses a rice disease recognition system based on principal component analysis and the neural network. Image information is acquired and the images are transmitted to a server side through the network. Preprocessing and disease spot detection are performed on the acquired tissue culturing images through the server side, and management personnel are prompted through a mobile phone short message and a signal lamp and a PC side according to the detection result.

The invention discloses a space statistical downscaling rainfall estimation method based on a geographical difference analysis method. The method comprises the following steps that: A, a statistical model is built according to the relationship between annual rainfall data of satellite precipitation data and a normalized differential vegetation index, and the downscaling annual rainfall is obtained; B, the geographical difference analysis method is adopted for calibrating the downscaling annual rainfall obtained in the step A; C, the calibrated downscaling annual rainfall obtained in the step B is subjected to weighted decomposition to obtain monthly rainfall data; and D, the geographical difference analysis method is adopted for calibrating the monthly rainfall data obtained in the step C, and the calibrated monthly rainfall data is obtained. Compared with a conventional method, the space statistical downscaling rainfall estimation method has the advantages of higher relevance and smaller error.

The invention discloses a security monitoring system and method for an internet-based car hailing service. Car information, driver information, and passenger information are connected in real time, the car information and registration information are compared according to image information recorded by an image recording module so as to determine whether the images match, and whether passenger image information is changed obviously is determined; when that drive and car information does not match the registration information is detected, warning information is sent to a background management terminal; and when a real-time image of a passenger changes obviously during an order receiving process of a car, warning information is sent to the background management terminal. With the system and method, on the basis of real-time image collection, car matching information and carried passenger information are compared and analyzed by using an image difference analysis method; a difference state is transmitted to the background management terminal; and when the different is too large, an alarm module is started, thereby realizing car monitoring and management.

The present invention provides methods for determination of parameters in lithographic devices and applications by diffraction signature difference analysis, including determination of center of focus in lithography devices and applications, such as for photoresist lithographic wafer processing.

The invention relates to a service provider complaint and fault association analysis method based on big data analysis. The method comprises steps that firstly, data of a client complaint list in the prior art is analyzed, and existing factors influencing user complaint are found out; secondly, a difference analysis method is employed, and possible factors influencing complaint are acquired from the existing factors; an association analysis method is employed, and main factors generating user complaints are determined; a similar attribute matching method is further proposed, complaint reasons and fault types are matched to acquire a complaint-fault data set and is taken as data basis for subsequent modeling, and the correlation relationship between the user complaint reasons and fault generation is acquired through a visualization method; lastly, a multi-classification decision tree is taken as a classifier, a complaint prediction model of the multi-classification decision tree based on information gain empowerment is established, latent complaints are predicted, client care is carried out in advance, user perception is improved, and reasonable advices are provided for complaint counseling.

The invention discloses a device for classifying dynamic electrocardio data. The device comprises an electrocardio data collecting device, an electrocardio information database, an electrocardio index obtaining device, an electrocardio index screening device, a feature combination obtaining device, a classifier screening device and a classification result output device, wherein the electrocardio index screening device is used for carrying out difference analysis on electrocardio indexes to screen out electrocardio indexes with significance differences, the feature combination obtaining device is used for carrying out feature combination on at least two items in the electrocardio indexes, with the significance differences, screened by the electrocardio index screening device to obtain a plurality of feature combinations, the classifier screening device adopts a plurality of classifiers for testing the feature combinations obtained by the feature combination obtaining device so as to screen out the optimum classifier and the optimum feature combination, the classification result output device is used for receiving the personnel information of patients and pathological data relevant to the heart activity state, classifying the pathological data, relevant to the heart activities, of the patients according to the optimum feature combination and the optimum classifier screened out by the classifier screening device, and outputting the classification results.

A feature amount is generated by standardizing inspection data related to a fabrication unit for each type, a similar set including fabrication units corresponding to similar feature amounts is formed by comparing the feature amounts, and apparatus difference analysis is performed between a plurality of fabrication units forming the similar set. A two-level orthogonal table is used to determine whether to adopt a feature amount of each type, and some feature amounts are not used in the apparatus difference analysis and the like by optimizing the smaller-the-better characteristic or the larger-the-better characteristic of a test value of the apparatus difference analysis, thereby reducing the calculation amount and accurately and efficiently specifying an abnormality cause.

The invention belongs to the related technical field of assembly process visualization enhancement. The invention discloses a manual auxiliary assembly application system based on an augmented realitytechnology. The system comprises a content editing subsystem and a real-time guiding subsystem, and the content editing subsystem faces a process designer, is used for providing an interactive interface for process visualization, and outputs an enhanced assembly process step file to the real-time guiding subsystem; the real-time guide subsystem is used for analyzing the enhanced assembly processstep file and outputting a virtually and actually fused assembly guide video in combination with an on-site camera, a display and a processor so as to guide the assembly operation of on-site workers;and the real-time guide subsystem processes the virtual-real occlusion relationship through rendering graph difference analysis so as to convert the virtual-real occlusion relationship between the real part and the virtual part into the virtual-real occlusion relationship between the three-dimensional model of the real part and the virtual part. According to the method, the cognitive memory burdenis reduced, the assembly efficiency is improved, and the applicability is good.

An on-demand and real-time evidence based cost modeling and predictive analysis system, and a financial incentives based plan to reduce healthcare costs. An analytics system that includes a data aggregator and regression models generates incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecasts of cost reduction based on financial incentives to recipients. The forecasts may include interactions, personalized variables, statistical trends, prevalence of diseases based on body mass index and / or age, and medical evidence associated with specific illnesses. A computer-based program may process and analyze variables in healthcare records. A health insurance provider may provide an annual rebate on paid premiums to recipients based on a qualifying annual BMI as an incentive. The recipients may receive the rebates in a qualified Healthcare Individual Reimbursement Account (HIRA) managed by the recipients towards future healthcare related expenditures.

The invention discloses a spatial accessibility analysis method based on public facility differences. The method comprises the following seven steps of: 1) obtaining population and service requirement data in a service area; 2) obtaining public facility data; 3) carrying out traffic and distance calculation on the service area; 4) determining the effective service range of a public service facility; 5) carrying out functional analysis on different levels of public facilities; 6) calculating the spatial accessibility value of the public service facility; and 7) carrying out the difference analysis on a spatial accessibility result. A device used for the analysis method comprises an on-site data collection terminal and a remote data processing platform. By use of the method and the device, the hierarchy and the maneuverability of an analysis result are improved. Compared with the traditional method, the method more approaches to a realistic situation, is more favorable for a planning and construction department to evaluate the spatial configuration situation of the existing public facility, provides decision support for the layout regulation and planning of the public facility, and is convenient in carrying out classified guidance on the planning and the construction of the public facility.

The invention provides a difference analysis method and a difference analysis device for electronic maps. The method comprises the following steps of: acquiring map element data of a first map and map element data of a second map, wherein the map element data comprises a difference identifier corresponding to a predetermined difference element, and the difference identifier is set when the corresponding difference element is established, and uniquely identifies the existence of the difference identifier when the corresponding difference element exists; comparing the difference identifier in the first map and the difference identifier in the second map to obtain a first comparison result; and determining a difference comparison result of the first map and the second map according to the first comparison result, wherein the difference comparison result comprises a newly added difference element in the second map and / or a difference element deleted from the first map. The method is simple and reliable, and the difference comparison result can be quickly provided for a user.

The invention discloses a method for positioning a constructed wetland blocked area on the basis of the two-dimensional resistivity imaging technology. The method includes the steps of firstly, conducting a two-dimensional apparent resistivity section survey through the high-intensity resistivity method and three-pole rectangular AMN and MNB devices by reasonably arranging survey lines and setting collection parameters on the premise of the resistivity difference between the blocked packing area and the non-blocked packing area and on the basis of collecting and analyzing existing constructed wetland resources; secondly, conducting two-dimensional inversion on the two three-pole apparent resistivity sections obtained through measurement, converting apparent resistivity data into resistivity data, drawing the contour map of the resistivity sections, and achieving constructed wetland two-dimensional resistivity imaging; thirdly, achieving the aim of positioning the constructed wetland blocked area according to the two-dimensional resistivity imaging characteristics and the resistivity difference analysis. The method is economical and easy to conduct and can fill in the technical gaps in the constructed wetland blocked area two-dimensional positioning, and the powerful technical guarantees are provided for continuous and efficient running of constructed wetlands.

The invention discloses a cross-platform migrating method and a system for an Oracle database. The method comprises the following steps: collecting source end platform information and database information at a source end, and collecting target end platform information at a target end; comparing the target end platform information with the source end platform information at the source end, and generating a platform difference analysis list between the source end and the target end; employing a migration algorithm to generate a migration guide based on the platform difference analysis list and the source end database information by the source end, and migrating data based on the migration guide; collecting database information recovered in the target end by the target end, comparing the source end database information with the database information recovered in the target end, generating a consistency checking list, determining that the source end database is in consistency with the target end database based on the consistency checking list, then finishing the migration. The cross-platform migrating method for the Oracle database can reduce the workload of the migration and reduce the difficulty of migration.

The invention discloses a device and a method for automatic optical detection, wherein the device comprises an image acquiring unit and an image processing unit; the image acquiring unit is used for performing stepping two-dimensional scanning movement relative to a detected circuit board, and photographing the detected circuit board once after stepping every time, wherein the sum of images acquired by the photographing every time covers the complete surface of the detected circuit board; and the image processing unit is used for seamlessly splicing the images acquired by the photographing every time into a complete image of the detected circuit board, and performing image difference analysis between the complete image acquired by the splicing and the design standards of the detected circuit board, so as to detect the apparent defects of the detected circuit board. Via the device and the method disclosed by the invention, the complete image of the detected circuit board can be acquired, so that an omni-directional accurate detection can be performed on the detected circuit board.

The invention discloses a financial budget system based on a B / S structure. The financial budget system comprises a client, a server and a file uploading system, wherein the client provides an interaction interface for a user through a client script and carries out filtration and formatting on an instruction input by the user; the server is used for handling a request of the client; the file uploading system is used for handling a program file and a model file uploaded by the user. According to the financial budget system, a client browser is used for querying reports, and the financial budget system is convenient to use and easy and fast to manage; because an encryption algorithm is adopted, the safety and the integrity of report data in the storage and network transmission process are guaranteed. Automatic system classification and collection of all the budget items or the budgets of all departments are achieved, and the workload of existing manual budget planning is reduced; meanwhile, through the functional module design of the budget system, budget auditing, decomposition and issue are achieved, real-time comparison between budget actual performance and an annual budget check value or a control cardinal number is achieved, and effective control and difference analysis of the budget are achieved.

The present invention provides an apparatus for generating an upgrade SQL script, comprising: a configuration client, wherein the configuration client is provided for a user to configure a database data source, comprising selecting a database type and designating a baseline version database and a destination version database; and a generating part, configured to separately convert a data dictionary of the baseline version database and a data dictionary of the destination version database into a corresponding database object according to a predefined rule and according to a call request of the configuration client, compare a difference between the database object of the baseline version database and the database object of the destination version database, to generate a difference analysis report, and generate an upgrade SQL script according to the difference analysis report and according to a corresponding SQL grammar rule definition.

The invention belongs to the field of data compression, more particularly relates to a method for carrying out data difference analysis by adopting a sliding window. In a plurality of applications of a computer, if differences among different data can be analyzed, great help for reducing data redundancy and improving the processing efficiency of the computer can be brought. The method adopted by the invention comprises the steps of dividing original data into equivalent data blocks and calculating the hash value of each data block; adopting the method of the sliding window in the original data to position whether the data block which is equivalent to sliding window data exists or not; further positioning the matching range around the equivalent data block if the data block which is equivalent to the sliding window data exists and recording the matching situation into differential data; moving the sliding window and then continuously comparing if the data block which is equivalent to the sliding window data does not exist; and repeating the operations till the data is over. By adopting the method of the invention, the difference between the original data and the target data can be analyzed rapidly.

The invention provides a difference analysis method and device for an electronic map. The method comprises the following steps of: obtaining difference information corresponding to predetermined road relational factors in a first map and a second map, wherein the difference information comprises difference markers which uniquely mark the existence of road relational factors when the road relational factors exist; comparing the difference marker in the first map with the difference marker in the second map, and obtaining a first comparing result; and determining a difference analysis result between the first map and the second map according to the first comparing result, wherein the difference analysis result comprises road relational factors newly added to the second map and / or road relational factors deleted from the first map. The method is simple and reliable and can be used for providing the difference analysis result for a user at a higher speed.

The invention relates to HTML (Hypertext Markup Language) content contrast device and method. The device comprises a text node analysis device, a text node contrast device, a difference analysis device, a differential data identification device and a display device; wherein the text node analysis device is used for respectively analyzing two HTML contents via searching loop to obtain two text node sequences; the text node contrast device is used for contrasting the text nodes in the two text node sequences and obtaining a text node contrast result comprising a differential text and a corresponding differential type; the differential analysis device is used for contrasting the labels in the two HTML contents to obtain a label contrast result comprising a differential label and a corresponding differential type; the difference data identification device is used for identifying the differential text and the corresponding differential type in the text node contrast result and the differential label and the corresponding differential type in the label contrast result, and respectively performing differential identification to the differential texts and differential labels in the two HTML contents to conveniently watch the differences in the two HTML contents while displaying the contrast result; and the display device for displaying the contrast result.

The invention relates to a method for obtaining a capsicum phytophthora resistance candidate gene and a molecular marker, and application. The method is used for obtaining the capsicum phytophthora resistance candidate gene by utilizing capsicum phytophthora transcriptome and whole-genome sequencing data information, differentially-expressed gene identification, bioinformatics analysis, molecular marker development and phytophthora inoculation identification and belongs to the technical field of capsicum biology. The method comprises the following steps: sequencing a phytophthora resistant and susceptible gene pool transcriptome obtained after phytophthora inoculation of an F2 population constructed by capsicum highly-resistant and highly-susceptible phytophthora materials, performing expression analysis and functional annotation on differential genes, extracting DNAs (Desoxvribose Nucleic Acid) of a capsicum phytophthora highly-resistant and highly-susceptible phytophthora material genome, performing primer design and PCR (Polymerase Chain Reaction) amplification, performing sequence difference analysis and SNP site identification, performing SNP specific primer design and validity verification, and performing other steps to efficiently obtain the capsicum phytophthora resistance candidate gene and the molecular marker. According to the method, the capsicum phytophthora resistance candidate gene can be accurately identified, and the effective molecular marker can be developed.

The invention provides a thermal power generating unit operation optimization method and device based on consumption difference analysis. The method comprises the following steps: a thermal power generating unit working process model is established based on an improved least square support vector machine algorithm; improved particle swarm optimization is adopted for optimizing parametric variables affecting the net coal consumption rate in the thermal power generating unit working process model, and a global optimum affecting the net coal consumption rate is output; operation of a thermal power generating unit is guided according to parametric variable data corresponding to the global optimum so as to make the thermal power generating unit operate at the optimal net coal consumption rate. According to the thermal power generating unit operation optimization method and device based on consumption difference analysis, the modeling method of the improved least square support vector machine algorithm is used for converting the nonlinear problem of steam working in the thermal power generating unit into the linear problem in a high-dimensional plane, an optimal decision variable is obtained finally, the optimal decision variable is used for guiding the operation of the thermal power generating unit to make the thermal power generating unit operate at the optimal net coal consumption rate, and therefore the energy utilization rate and economic benefit of the thermal power generating unit are increased.

The invention discloses an on-line monitoring method for cutter abrasion damage based on main shaft driving current and working step. The method is made by the following steps that realizing communication with a numerical control system to obtain machining working step information, meanwhile, the driving current and the load of the main shaft are monitored, and on the basis of a normal cutter andabrasion damage cutter cutting torque difference analysis and statistical quality control principle. Control graph for drawing average current / load required by each working step processing, a control graph control line is reasonably formulated, the abrasion state of each working step is judged, and a tool changing or cutter edge grinding rule is formulated. According to the variation of instantaneous main shaft current or instantaneous load with the deviation from the instantaneous current / load in normal machining in each working step of machining, the cutter breakage is determined, the alarm signal is sent to inform the numerical control system to emergency shutdown so as to avoid the serious consequences of damaging the workpiece and the machine tool. According to the method, on onehand, the part rejection rate and the machine tool fault rate can be reduced, on the other hand, the service life of the cutter can be prolonged to the maximum extent, and the use cost of a plant cutter is reduced.

The invention discloses a method for determining a consumption difference analysis optimized target value system of a circulating fluidized bed unit. The method comprises the steps of clustering collected sample operation parameters by using a K-means algorithm to obtain K data clusters; selecting a data cluster with the minimum arithmetic mean value according to the arithmetic mean value of each data cluster; and then determining a parameter corresponding to a clustering center of the selected data cluster as an optimized target value. Due to the adoption of the method for determining the consumption difference analysis optimized target value of the circulating fluidized bed unit, the real-time performance and the accuracy are improved; the complex calculation amount and test cost can be reduced; and manpower and material resources are greatly saved. The method for determining the consumption difference analysis optimized target value system of the circulating fluidized bed unit can be widely used in the field of consumption difference analysis of power stations.

The invention belongs to the technical field of biological monitoring environment, and specifically relates to a shellfish monitoring method for ocean oil spill pollution. The shellfish monitoring method comprises the steps of utilizing typical bivalve mollusk such as short-necked clam and chlamys farreri in China to determine the shellfish visceral mass autioxidant enzyme activities including superoxide dismutase, glutathione glutathione S-transferase, peroxidase, glutathione peroxidase and catalase activity, integrating the enzyme activities so as to form an integration biomarker responding index (IBR), establishing a dose-effect relationship between the IBNNR and petroleum concentration, adopting a one-dimensional variance components method (ANOVA) to carry out notable difference analysis, determining the forcing degree of petroleum pollution on organisms, and finally judging pollution level of the ocean oil spill.