114 results about "Range analysis" patented technology

A heart monitor is disclosed. The monitor computes ST segment deviations and stores the results in heart rate based histograms. Periodically, the monitor analyzes the histogram data to determine a normal range of ST deviation for a particular heart rate range. The monitor computes heart rate dependent ischemia detection thresholds based on the upper and lower boundaries of the normal range.

The invention provides a terminal. The terminal comprises a trajectory generating unit, an operation range analysis unit and a zone setting unit, wherein the trajectory generating unit is used for generating a corresponding hand gesture trajectory according to a sensed sliding hand gesture; the operation range analysis unit is used for analyzing the one-handed operation range of a user according to the position of the hand gesture trajectory on a screen interface of the terminal; and the zone setting unit is used for setting a concentrated control zone in the one-handed operation range. The invention further provides a terminal operation and control method. Through the technical scheme of the invention, the concentrated control zone can be arranged in a position on the screen interface of the terminal, most suitable for the operation of the user, according to hand gesture operation of the user, so that the one-handed operation of the user is facilitated.

The invention provides an accident influence range analysis method and system based on dynamic traffic information. The method comprises the following steps: (101) whether a road segment is jammed is judged, the road segment is jammed if the current traffic capacity of the road segment is smaller than real-time traffic flow of the road segment, and a step (102) is executed; (102) a jam starting wave transmission speed is calculated, the transmission time of a jam wave in any road segment I is calculated, and an accident influence range, accident influence duration and a jam transmission path are estimated on the basis of the obtained jam starting wave transmission speed and the obtained transmission time of the jam wave in any road segment. According to the accident influence range analysis method and system based on the dynamic traffic information, dynamic traffic data are combined with road network data to realize urban road traffic accident influence range prediction, and therefore targeted prediction can be conducted on a specific accident. A coil, floating car and other data serve as predicted data and are input, the data are high in accuracy, and therefore the accuracy of a prediction result is guaranteed in terms of predicted data bases.

The invention discloses an underground water ecological system health assessment method. An underground water microorganism integrity index serves as a judgment index. The method includes the following steps that a microbial community richness index is calculated, wherein microbial cells are collected, genome DNA is extracted, PCR amplification is conducted, a target band is cut for purification, and PCR products quantitatively obtained are subjected to paired-end sequencing; candidate biological parameters are determined, wherein a reference point and a damaged point are set, and parameters related to richness in the steps, parameters related to community composition and parameters related to interference resistance are selected as candidate parameters for calculating the biological integrity index; the value of the microbial integrity index is determined, wherein index value distribution range analysis and judgment capacity analysis are conducted, and biological parameters are screened; health detection of an ecological system is conducted by means of 95% quantile optimal value of the microorganism integrity index of the reference point in the steps. The method has high sensitivity and can quickly, sensitively, accurately, comprehensively and objectively reflect health conditions of the underground water ecological system.

The invention discloses a fixed-point processing method and a fixed-point processing device. The method comprises the following steps of: respectively performing signal range analysis on all floating point signals according to all paralleling condition branches divided by a control-data flow diagram of a floating point algorithm to obtain the change range of all floating point signals and a smallest integer bit width, wherein the smallest integer bit width is a smallest positive integer value which is in accordance with the condition that a fixed-point signal does not overflow; respectively performing system precision analysis on all floating point signals subjected to signal range processing operation by using the change range to obtain a smallest decimal bit width of the floating point signals, wherein the smallest decimal bit width is in accordance with the condition that a system output precision error is less than or equal to a smallest positive integer value restricted by a predetermined error; and determining a result obtained by performing the fixed-point processing on the floating-point signals by using the smallest integer bit width and the smallest decimal bit width of the same floating point signal in all floating point signals. By the method, the accuracy of the fixed-point processing is improved.

The invention discloses a manipulation stability and smoothness cooperative optimization method in vehicle dynamics simulation analysis. The method comprises the following steps of S1, determining a simulation test investigation index, that is, the manipulation stability and smoothness of a vehicle; S2, determining simulation test factors and level values of the simulation test factors, and choosing an orthogonal table according to the settings of the test factors and the level values; S3, according to a test scheme determined according to the orthogonal table, conducting a whole-vehicle manipulation stability and smoothness test under an ADAMS simulation platform, recording all test results, and utilizing a range analysis method to obtain a range analysis result of all factors of an orthogonal test; S4, utilizing a matrix type weight analysis method to analyze the range analysis result of the orthogonal test, and choosing a test factor optimization level combination scheme. The manipulation stability and smoothness cooperative optimization method in the vehicle dynamics simulation analysis has the advantages of being simple in principle, high in operability, flexible in design, high in reliability, wide in application range and the like, and has important guidance and reference significance in studies of vehicle dynamics performance optimization, dynamics control and the like.

The present invention relates to an optimized combination method of cigarette auxiliary materials (including cigarette paper, forming paper, joint-wrapping paper and filter rod). Said method includes the following concrete contents: selecting and using orthogonal design to make experiment design, defining test index, defining test factor, selecting and defining horizontal range, making test scheme, test result treatment-range analysis and variance analysis, auxiliary materials combination regulation and optimization.

The invention provides a website access request parameter legal range analysis method and device and belongs to the technical field of network safety. The website access request parameter legal range analysis method includes that an http access journal file of a website is obtained; journal records corresponding to legal http requests are screened from the journal file to obtain a legal journal record set; and the legal range of access request parameters is extracted according to the legal journal record set. The website access request parameter legal range analysis method and device can accurately and conveniently obtain the legal range of the request parameters and are favorable for accurately distinguishing and intercepting illegal requests according to the obtained legal range.

The invention relates to a method for the fault discrimination, checking and fault influence range analysis of a power grid, and the method comprises the following steps: 1, building a discriminationinformation data model; 2, building a one-to-one mapping relation between operation sides and production management sides for all power grid equipment, so as to achieve the mutual recognition; 3, obtaining original event information from different fault data sources, carrying out the different initial screening of the original event information according to the difference of the data sources, carrying out the discrimination of the original event information meeting a condition through the correlation event information in a set time period before and after an original event according to a corresponding fault discrimination rule, and classifying the original event information meeting the condition into a suspected fault event set; 4, carrying out the manual checking of the suspected fault event set, determining a fault discrimination result, analyzing the fault influence range through a primary wiring topology of the power grid if the event is determined to be a fault, and representing an analysis result. Compared with the prior art, the method employs multiple pieces of data information and multiple criteria for joint discrimination, and improves the fault discrimination accuracy and reliability.

The invention discloses a numerical simulation analysis method for influence of underground water on subway shield tunnel construction, and the method comprises the following steps: S1, building a three-dimensional calculation model: firstly building a model and boundary conditions, then carrying out the selection and calculation assumption of a constitutive model, setting material parameters, building an initial stress field, and carrying out the simulation of a shield construction process; S2, designing simulation working conditions: determining a test method, influence factors and a level.According to the method, numerical calculation software is adopted, and the influence rule of the soil bin pressure, the grouting pressure and the grouting range on existing railway settlement and track height difference is analyzed on the basis of a single-factor variable method. Based on an orthogonal test method, the primary and secondary sequence of influence of unearthed bin pressure, grouting pressure and grouting range on existing railway settlement, maximum process track height difference and final track height difference is obtained by adopting a range analysis method, and the problems that numerical simulation analysis cannot be effectively carried out on tunnel construction and potential safety hazards of construction cannot be avoided in the prior art are solved.

The invention discloses a scanning type laser induced spectrum surface range analysis and detection system. A laser emitting head is connected to an external laser inducing light source. The external laser inducing light source generate lasers, through the laser emitting head, lasers are emitted, and the generation of laser induced plasma is realized. A focusing optical device converges the induction excited laser beams emitted by the laser emitting head onto the surface of a tested sample. Then, a reflector collects the wide spectral range induced plasma scattered light signals of the tested sample and converges the signals into a light collecting device. The light collecting device converges induced plasma scattered light into an optical fiber and transmits the induced plasma scattered light to an external spectrograph; and the external spectrograph divides the spectrum formed by the plasma to obtain spectral strength data of different wavelengths. The wide range (several hundreds of nanometers) spectral collection in a same optical axis is realized, Joule level large energy laser induction can be born, and the efficiency is increased to more than 90%.

One embodiment provides a system for facilitating anomaly detection. During operation, the system determines, by a computing device, a set of testing data which includes a plurality of data points, wherein the set includes a data series for a first variable and one or more second variables, and wherein the one or more second variables are dependent on the first variable. The system divides the set of testing data into a number of groups based on a type of the data series. The system determines an inter-quartile range for a respective group. The system classifies a first testing data point in the respective group as an anomaly based on the inter-quartile range for the respective group, thereby enhancing data mining and outlier detection for the data series for multiple variables.

The present invention discloses an aquatic ecological evaluation method based on functional diversity of zoobenthos and an application therefor. According to the method, five candidate indicator types are determined: species richness, species composition, bio-tolerance, nutrition structure and niche quality, so as to reflect influence of environmental changes on functional diversity of zoobenthos; through distribution range analysis, discriminating ability analysis and correlation analysis, key core biomarkers are screened out from the provided candidate indicators; the core biomarkers are scored by a ratio method, and scores of the biomarkers are added together, so as to a final score of evaluation of the functional diversity of zoobenthos and complete scientific evaluation. The evaluation system provided by the present invention makes up the shortcoming that the conventional physical and chemical indicators of water body can only reflect the instantaneous water quality condition, and can show long-term cumulative effects of human disturbance on the habitat destruction and predict the pest effect under stress of multiple pollution.

The present invention discloses a medical insurance data-based clinical pathway analysis method. The method comprises a medical insurance data cleaning step and a medical insurance data analyzing step. During the medical insurance data cleaning step, invalid hospitalization data and invalid prescription detail data are removed. Meanwhile, data are clustered based on identical disease entity numbers and identical hospital level numbers, so that a plurality of analysis units are established. During the medical insurance data analyzing step, medical insurance analysis items in the analysis unitsare subjected to empirical range analysis. The empirical range analysis is in the form of grouped empirical range analysis or non-grouped empirical range analysis, wherein the sample most aggregated distribution range of medical insurance analysis items is calculated. When the frequency sum of the most aggregated distribution range is larger than a preset frequency, the empirical range of the medical insurance analysis items is obtained. According to the invention, medical insurance data are cleaned and analyzed, and then the clinical pathway analysis is conducted based on medical insurance big data. The accuracy and the scientificity of the clinical pathway analysis are improved.

The invention provides a method for analyzing the human flow in a highway service area based on cellular network and Wi-Fi data, which comprises the steps of colleting cellular network original data and Wi-Fi original data, and extracting physical position motion tracks and network space activity tracks of users through filtering and analyzing the original data; carrying out pause rate and stay time analysis on the users in the service area and geographical coverage analysis on the users served in the service area on the basis of the physical position motion tracks and network space activity tracks of the users obtained according to the processed cellular network data; and carrying out position judgment, stay behavior analysis and user attribute judgment on the users in the service area onthe basis of the physical position motion tracks and network space activity tracks of the users obtained according to the processed Wi-Fi data.

The invention relates to a performance evaluation experiment analysis method for a photo-electric imaging system, which includes the following steps: building a photo-electric imaging system performance prediction model; dividing input factor sets and output index sets in the photo-electric imaging system performance prediction model; conducting screening experiment on the input factor sets; dividing input factor levels of the model according to screening experiment results and building a model input factor level graph; selecting orthogonal graphs according to the model input factor level graph to form experiment schemes; invoking the performance prediction model to calculate the output index sets corresponding to each experiment scheme; and performing range analysis and sensitivity analysis by aid of the output index sets and finishing the experiment analysis process. The performance evaluation experiment analysis method for the photo-electric imaging system can compteltely, typically and equilibrium comparably reflect effects of all experiment input factors on experiment indexes with the fewest experiment times, analyzes and determines the optimum level of all the experiment input factors and primary and secondary relations of all the experiment input factors in effects on the output indexes through a range method, and simultaneously analyzes the sensitivity degree of the input factors on the output indexes through a sensitivity analysis method.

The invention relates to method of screening exogenous additive factor influencing the content of a cigarette special smoke component and belongs to the technical field of tobacco. The method comprises: confirming a test index; confirming a test factor; selecting within a horizontal scope; choosing an orthogonal design to conduct an experiment design; drawing up a testing program; handling the test result by a range analysis method and a variance analysis method; screening a key control factor for sample preparation. The method provided by the invention has the advantages that a scientific and feasible system research method is provided; the experiment period is shortened, and the influence law of each factor on the content of the cigarette special smoke component can be rapidly, efficiently, economically and accurately sought and confirmed; the highly significant impact factor or significant impact factor of an exogenous additive to the content of the cigarette smoke component can bescreened by virtue of variance analysis; through controlling the screened factor, the sample preparation is regulated, errors are reduced, and the reliability and scientificalness of the test result and conclusion on the follow-up exogenous additive factor influencing the content of the cigarette smoke special component are ensured.

The invention belongs to the technical field of fire damage range analysis and particularly relates to an analysis method for calculating an influence range of a fire. The method is used for analyzingdamage conditions of equipment in a room under the condition of the fire in the room. The method comprises the steps of S1, analyzing a condition of the room where the fire is located; S2, analyzingan ignition source and target equipment in the room; S3, determining a heat release rate of the ignition source and a damage criterion of the target equipment; S4, calculating an influence range of the ignition source during combustion and a hot gas layer temperature in the room; S5, judging whether secondary combustibles exist or not: S5.1, determining fire outbreak time of the secondary combustibles; S5.2, calculating a heat release rate of the secondary combustibles; and S5.3, judging whether all the secondary combustibles are considered or not; S6, calculating a total heat release rate anda final fire influence range; and S7, analyzing damage time and damage reasons of the target equipment. The method is simple in operation; and an analysis conclusion can be quickly obtained without complicated modeling.

The invention discloses a laser cladding 316L stainless steel optimizing process. The laser cladding 316L stainless steel optimizing process comprises the following steps that the cladding surface of No.45 steel base material and the contact surface of the No.45 steel base material and platforms are essentially pretreated; 316L stainless steel powder is dried for 4 hours to guarantee full drying of the powder; off-line programming for a processing track is conducted; an orthogonal test is conducted; a range analysis is conducted on the shape coefficient zeta; the range analysis is conducted on the dilution ratio D; and a metallurgical structure analysis is conducted. According to the laser cladding 316L stainless steel optimizing process, a shielding gas factor which is not valued enough before is considered emphatically and is taken as the factor which influences a stainless steel processing process for overall consideration; 316L stainless steel is obtained after cladding with the adoption of optimum process parameters obtained from the laser cladding 316L stainless steel optimizing process, it is guaranteed that a good surface appearance can be obtained on the premise that the mechanical property of the 316L stainless steel is not influenced, meanwhile the defects such as surface powder sticking, pores and cracks can be overcome, and a specific optimizing scheme is provided for process optimization of laser cladding stainless steel parts.