157 results about "Linear analysis" patented technology

Methods and systems incorporating non-linear dynamic (NLD) analysis such as entropy or other complexity analysis monitoring continuous or evoked signals from a biological subject are presented, where such a system comprises of processing steps including: a) the combination of a biological signal evoked as a result of patient stimulation presented to a biological subject and a non-linear analysis method capable of capturing temporal changes in signal order or regularity; b) any combination of processed evoked or continuous central nervous or peripheral physiological mechanisms b) a means to generate a measure indicative of a patient's level of anaesthesia and consciousness depth (A&CD), sedation or sleep/wake state. Methods and systems incorporating a NLD analysis means to improve the discrimination between different signals origins including any combination of: a) central nervous system (CNS), b) peripheral control or nervous system (PNS), c) autonomic control or nervous system (ANS), d) arousals, and e) artifacts.

A system and method of developing better-designed medical devices, particularly cardiovascular stents and endovascular grafts. The system comprises a geometry generator, a mesh generator, a stress/strain/deformation analyzer, and a visualization tool. In one embodiment, the geometry generator receives three-dimensional volumetric data of an anatomical feature and generates a geometric model. The mesh generator then receives such geometric model of an anatomical feature or an in vitro model and a geometric model of a candidate medical device. In another embodiment, the mesh generator only receives a geometric model of the candidate medical device. Using the geometric model(s) received, the mesh generator creates or generates a mesh or a finite element model. The stress/strain/deformation analyzer then receives the mesh, and the material models and loads of that mesh. Using analysis, preferably non-linear analysis, the stress/strain/deformation analyzer determines the predicted stresses, strains, and deformations on the candidate medical device. Such stresses, strains, and deformations may optionally be simulated visually using a visualization tool.

The invention relates to the use of nucleic acid binding agents for labeling polymers such as nucleic acid molecules. The nucleic acid binding agents are nucleic acid binding proteins that bind nucleic acid molecules non-specifically, in some embodiments.

The invention relates to a fault arc frequency domain detection device. The fault arc frequency domain detection device mainly comprises a mutual inductor, a prefilter, an A/D converter, an FFT converter, a frequency spectrum pre-processor, a feature vector constructing device and a device for relative linear analysis and trip execution of feature vectors. As transient-state high-frequency currents can be caused in a circuit while fault arcs are generated in a power utilization loop and have certain regularity, FFT conversion is carried out on high-frequency current signals, the feature vectors Fref=[f1, f2, ... fM] of the high-frequency currents on a frequency domain when the arcs are generated are further extracted for serving as reference feature vectors, same processing is carried out on linear current signals, including the linear current signals without knowing whether the arcs are generated or not in advance, at any moment, feature vectors F =[f1, f2, ... fM] of the linear current signals on the frequency domain are obtained, correlation analysis is carried out on the feature vectors and the reference feature vectors, and whether the fault arcs are generated or not is judged according to the correlation degree. The limitation and the shortcomings in arc fault detection according to time domain features are overcome.

The invention provides a pedestrian event detection method based on shape features and trajectory analysis. A foreground target is obtained through target segmentation by means of background differencing, a connected domain of the same target is marked through a block-based method, meanwhile an enclosing rectangle of the connected domain is recorded and geometric shape characteristics of the enclosing rectangle are extracted, and target recognition is finished. When a target similar to a pedestrian is recognized, corner points of the target are extracted, and the corner points are tracked and matched by means of corner point position information. The preceding processes are repeated, and the motion track of the target is obtained. Segmented inflection points of the track are obtained, and linear analysis is carried out in each segment where the inflection points are formed, so that the speed of the target is obtained. Therefore, pedestrian and event state information is analyzed, and traffic safety warning is finished. The detection method is suitable for complex and changeable traffic scenes, can precisely recognize, track and early warn the pedestrian appearing in a monitoring video range, is high in practical value, and has wide application prospects.

A system and a method are disclosed for performing a timing or signal propagation delay analysis on a circuit. The disclosure includes representing a drive logic stage as a representative linear circuit driven by a current source. The current source is represented as a function of a current at a constant value, a start time, a tail-start time, and a time constant of an equivalent capacitive circuit. Once the current source model is constructed, a logic stage can be analyzed for timing or signal propagation delay using conventional linear circuit analysis techniques. The disclosure also is applicable to resistance capacitance (“RC”) interconnect circuits using a current source model in which an RC load is represented as an effective capacitance and the current source for use in a linear analysis is constructed using an iterative approach.

The invention discloses a bending fatigue testing method of a fiber reinforced material, comprising the following steps: step S1 of testing basic parameters and determining test conditions; step S2 of adjusting a test span; step S3 of setting a test compensation path; step S4 of determining the maximum stress; step S5 of carrying out a plurality of stress level tests to obtain a bending performance test and a stress-strain curve, finding dependent variables of corresponding stress values by means of getting points, and calculating a deflection value of strain corresponding to each stress based on a deflection value calculation formula; step S6 of setting test stress parameters; step S7 of carrying out bending fatigue tests at different times; and step S8 of linear fitting: drawing an S-N curve of test values by means of a regression linear analysis based on the test result in the step S7 by taking N as a vertical coordinate and S as a horizontal coordinate, and fitting out a fitted equation of log10(stress)=a-blog10(times) or (stress)=a*(times)<(-b)> based on the S-N curve. The bending fatigue testing method of the fiber reinforced material disclosed by the invention provides a method evidence for a bending fatigue test of the fiber reinforced material, and fatigue test life can be quickly obtained by the fitted equation.

The invention relates to a boost phase generalized standard miss distance analysis guidance method. The method comprises steps that 1, boost phase guidance problem modeling is carried out, including standard ballistic movement modeling, guidance correction first-order perturbation modeling and terminal constraint modeling; 2, boost phase standard ballistic regular perturbation solution modeling is carried out; 3, boost phase standard ballistic zero-order item analysis solution on the basis of regular perturbation is carried out; 4, boost phase standard ballistic first-order item analysis solution on the basis of regular perturbation is carried out; and 5, boost phase optimal guidance instruction solution on the basis of the standard miss distance is carried out. Through the method, zero-incidence is taken as boost phase ballistic standard control, analysis solution is carried out by employing a regular perturbation method, and thereby an analyzed standard miss distance is acquired; an optimal control method is employed to solve a guidance instruction of the correction standard miss distance, and thereby a non-linear analysis optimal guidance method satisfying boost phase task demands is acquired.

The invention discloses a method for determining a transient process switching corridor of a tilt rotor unmanned aircraft, comprising the steps that a kinetic model of the tilt rotor unmanned aircraft is built, a nonlinear model of the tilt rotor unmanned aircraft is obtained, the feature of the helicopter mode and the feature of the fixed wing aircraft of the tilt rotor unmanned aircraft are respectively subjected to linear analysis, a linear model of the tilt rotor unmanned aircraft is obtained, the linear model is subjected to handling characteristic analysis, the maximum speed and the minimum speed in the range of trim angle of pitch are figured out, and the step of determining the borderline of the transient process switching corridor of the tilt rotor unmanned aircraft is finally carried out. According to the method, an optimal transient path is given by taking the minimum pitch trim attitude angle of the aircraft in the switching process as the index.

The invention discloses a PWM type DC-DC convertor stability analysis method based on a describing function method. The stability analysis method includes the following steps that a PWM type DC-DC convertor is linearly modeled to obtain a linear model, a first transfer function and a second transfer function; the describing function method is adopted to carry out non-linear modeling on a non-linear link in the PWM type DC-DC convertor to obtain a first describing function; the second transfer function is replaced by the first describing function to obtain a non-linear model; according to the first transfer function, the first describing function and the non-linear model, the stability of the PWM type DC-DC convertor is analyzed. The PWM type DC-DC convertor stability analysis method can accurately analyze the critical stable state of the PWM type DC-DC convertor, an obtained result is more accurate than that obtained by a traditional linear analysis method, thus the low frequency oscillation phenomenon occurring in the PWM type DC-DC convertor can be analyzed, and the analysis accuracy is high.

The invention relates to a modal tire modeling method for whole-vehicle vibration noise simulation. Under set loads and tire pressure, an accurate tire finite element model is obtained through the actual structure and size and material property of a tire, the tire finite element model is converted into a tire reduction model for whole-vehicle linear analysis through reduction, the tire reduction model and the whole-vehicle NVH finite element model are matched, and therefore the tire model and vibration noise performance simulation are conducted in NASTRAN software, and a new method is provided for road vibration noise performance simulation. The modal tire modeling method is an engineering tire modeling method, and by automatically reducing the tire integrated finite element model, an engineer can establish the tire finite element model through the tire modeling method; meanwhile, the modal tire model for whole-vehicle vibration noise virtual simulation is obtained through an automatic reduction program, and the key technology for stimulating inside-vehicle vibration noise virtual simulation on a road surface is achieved.

A rock-fill object density measure system comprises a bearing plate placed on the surface of a rock-fill object, counterweight blocks stacked on the bearing plate, an excitation hammer disposed at one side of the bearing plate and used for providing excitation force, and a wave detector installed on the upper surface of the counterweight block and connected with a vibration frequency tester. The bearing plate and the counterweight blocks are cylinders. The weight of the excitation hammer is 40-60 Kg. By bonding the wave detector on the counterweight blocks, the vibration frequency f of a system composed of surface dam material, the bearing plate and the counterweight blocks can be tested through a vibration source, then the dry density of the rock-fill object is tested by performing a pit measure process, thus the relation curve between the system vibration frequency f and the rock-fill object dry density is established, and a linear analysis formula of the rock-fill object dry density is obtained. The provided rock-fill object density measure system has the advantages of time saving, labor saving, rapidness, no damage, high accuracy and the like.

The invention relates to a traffic state prediction method based on clustering analysis and Markov models. The method comprises the steps of selecting the traffic volume and the traffic occupancy rateas evaluation indexes of the traffic state of urban crossroads; performing clustering analysis on the traffic volume and the traffic occupancy rate by a K means clustering method according to a largenumber of traffic flow data collected by a traffic control center; determining a weight set of the traffic volume and the traffic occupancy rate by a method combining an entropy evaluation method andan analytic hierarchy method; determining a membership degree function of the traffic volume and the traffic occupancy rate by a linear analysis method, and obtaining a membership degree matrix; calculating a fuzzy comprehensive evaluation matrix; evaluating the existing traffic state according to the maximum membership degree principle; and predicating the future traffic state on the basis of aMarkov model according to the existing traffic state. The traffic state prediction method is applicable to practical cases; and the prediction precision is improved.

The invention provides a modeling and design method of a biomimetic building structure. 2, determining the required component size and load information to form a finite element calculation model, andprovide the formed finite element calculation model to ANSYS for static linear analysis and dynamic elastoplastic time history analysis; 3, according to the results of static linear analysis and dynamic elastoplastic time history analysis of the biomimetic building, constructing a parameterized virtual reality system by using an object-oriented design method; 4, optimizing the seismic performanceof the biomimetic building; 5, generating design drawings accord to that steps 3 and 4, and lining the drawings with a grid consistent with the construction template, thereby facilitating the construction party to make a positioning template. Combined with engineering design to design complex space biomimetic shape building, accurate structural modeling and design, for the implementation of the project to lay the foundation of accurate positioning and shaping.

The invention discloses a valuing method of plastic constitutive parameters of steel-polypropylene hybrid fiber concrete in ABAQUS. The method sufficiently considers influences on mechanical properties of concrete, caused by factors including different fiber types, volume fractions, long-diameter ratios and the like, and related parameters of a built-in concrete damage plasticity model (CDPM) in the ABAQUS are properly revised, so that the related parameters can be more accurately matched with a yield criterion, a hardening rule and a flowing law of the steel-polypropylene hybrid fiber concrete, and a very good reference is provided or refined non-linear analysis of a fiber concrete structure under a complicated stress state.

The invention discloses an image detection method of farmland weak navigation information and a system thereof, relating to the field of machine vision navigation technology. The method comprises the following steps of: S1, collecting an image to be detected of current farmland; S2, judging whether the image to be detected is a first frame image, if so, carrying out navigation straight line detection of the first frame image, and returning to the step S1, otherwise, carrying out navigation line detection of a non first frame image; S3, carrying out farmland end detection according to a result of the navigation line detection of the non first frame image, judging whether reaches a farmland end or not, if so, ending the detection, and otherwise, returning to the step S1. According to the invention, by targeting a farmland work environment with weak navigation information, utilizing methods of wavelet transform and linear analysis, mutual association of front and rear frames, segmentation Hough transform and the like, in the condition that dividing lines of farmland areas are not obvious, the image identification of a navigation path is realized, and a detection result is accurate, stable and fast.

The invention provides methods and systems for improved spatial resolution of signal detection, particularly as applied to the analysis of polymers such as biological polymers. Some of the methods and systems comprise differentially tagging polymers in order to increase resolution. Some of the methods and systems comprise techniques for improving the precision of separation distance measurements, without necessarily requiring improvements in the known detection resolution of prior art systems.

Embodiments in the present disclosure pertain to domain translators. A domain translator converts a variable from one domain to a different domain. Domains include, but are not limited to, voltage, current, frequency, phase, delay, and duty-cycle. In particular, domain translators enable conversion between standard voltage and current domains commonly used by circuit simulators to other domains such as frequency, phase, delay, duty-cycle, etc., so that linear analysis can be performed on a wide range of circuits that exhibit linear behavior in domains other than voltage and current.

The invention relates to the field of education data mining, and provides a student score prediction method based on campus big data, which comprises the following steps: (1) data fusion; in a smart campus environment, dynamic and non-invasive data acquisition is carried out by taking learners as centers, so that convergence and fusion of online and offline and in-class and out-of-class multi-dimensional behavior data of students are realized; (2) feature calculation; by comprehensively utilizing linear analysis, deep learning and nonlinear analysis technologies, a student multi-dimensional behavior characteristic system is systematically constructed from three aspects of behavior change, diligence and behavior nonlinearity, and a student behavior mode and dynamic change thereof are deeplymined; and (3) score prediction; based on a machine learning algorithm, a high-precision score prediction model is constructed, and feedback and early warning are provided for high-risk student groups. According to the method, student scores can be scientifically and comprehensively predicted, and early warning is provided for students with high hanging risk.

The invention discloses a noninvasive blood glucose detection method and system based on electrocardiosignals. The noninvasive blood glucose detection method comprises the steps that by obtaining theelectrocardiosignals, the corresponding electrocardiosignal pRRx sequence is obtained, through linear analysis and/or nonlinear analysis of the pRRx sequence, corresponding characteristic indexes areobtained, and the calculated characteristic indexes and corresponding blood glucose values are used as input and labels for machine learning and training to obtain a model function of the corresponding relationship between the characteristic indexes of the electrocardiosignals and the blood glucose values; and when the blood glucose value at a certain time point is to be detected, by obtaining theelectrocardiosignal before the time point, calculating and according to the characteristic indexes of the electrocardiosignal, the blood glucose value at the time point can be obtained through the model function. Compared with the prior art, the electrocardiosignals acquired non-invasively are used as source signals, the cost is low, safety and efficiency are achieved, in addition, the calculation amount of the blood glucose detection process of the noninvasive blood glucose detection method is small, the algorithm complexity is low, and the efficiency is high.

The invention relates to a method for establishing a CAE linear analysis sub-assembly connection relation. The method is characterized by comprising the following steps of: 1) dividing an assembly: according to a design process of the whole vehicle, dividing a linear analysis model into nine parts, namely a white vehicle body (1), an engine hood (2), left and right front doors (3), left and right rear doors (4), a secondary frame (5), a trunk lid (6), a front-end module (7), an instrument board cross beam (8) and seats (9); 2) defining node and unit sections of each assembly: according to the assemblies divided in the step 1), performing node and unit section definition on a numerical model of each assembly by utilizing ANSA preprocessing software; 3) defining a connection position node number of each assembly: establishing a rigid connection at a connection position in the numerical model of each assembly, and performing redefinition on a central node of the connection position according to a node section in a format; defining the format of a node number of a connection point as follows: first two digits of the minimum value of the section 1# of a part plus first two digits of the minimum value of the section 2# of the part plus node range; and 4) establishing a connection file. (/b)