2829 results about "Discretization" patented technology

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

A static inverter for a battery of elementary, current sources or cells electrically in series and a number N of intermediate voltage taps along the chain of elementary DC current sources, wherein the number of elementary cells comprised between an intermediate tap and another intermediate tap adjacent to it or an end terminal of said chain is proportionate to the amplitude in the respective phase interval of a number N of discretization phases of the waveform of the AC voltage to be output in a quadrant; is implemented by arranging for: a number N of power switches each connecting a respective intermediate tap and a first end terminal of a first polarity of said chain of elementary cells in series to a common circuit node of said first polarity; an output bridge stage constituted by at least four power switches controlled in pairs for switching the current paths through the bridge stage, having a first pair of nodes coupled to said common circuit node of said first plurality and to the other end terminal of polarity opposite to said first polarity of said chain of elementary cells, respectively, and a second pair of nodes constituting an AC output; and a control circuit sequentially and cyclically turning on, in a continuous manner, one switch at the time of said N switches; each for a phase interval of 1 / (4N) times the period of said AC output, and alternately tuning on by pairs said four power switches of said output bridge stage at every half a period.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

A system and method having application notably towards predicting fluid flow characteristics within fractured subsurface reservoirs. The system and method include steps of reservoir characterization, gridding, discretization, and simulation of geologically realistic models describing the fractured subsurface reservoirs. A stochastic fracture representation that explicitly represents a network of fractures within a subsurface reservoir is constructed and used to build a fine-scale geological model. The model is then gridded such that the network of fractures is represented by interfaces between the fine-scale cells. The model is the discretized and simulated. Simulation can be on a fine-scale or on an upscaled course-scale to produce efficient and reliable prediction of fluid flow characteristics within the subsurface reservoir.

A method of distributing power among servers is described includes calculating thermal multipliers of the servers, where the thermal multipliers represent recommended thermodynamic power consumption levels for the servers. In addition, the thermal multipliers of the servers are discretized to one of a plurality of server power states based upon geographic locations of the servers and one of the plurality of server power states is assigned to the servers based upon the discretization of the thermal multipliers.

The invention provides a robot path planning method and an apparatus thereof based on a Bezier curve. The method comprises the following steps that: a robot path planning parameter input unit receives and sets a robot state parameter, a constraint condition, a path discretization minimum time resolution; a robot path generation unit generates a group of Bezier curve control points consisting of four 4-dimension vectors according to the robot state parameter and plans out a continuous path between an origin position to a target position of the robot; the robot path generation unit forms a timepoint sequence according to the path discretization minimum time resolution and calculates a discretization path according to the continuous path; a path point parameter detection unit detects whether a speed, an acceleration and a turn radius of each path point which is corresponding to the time points satisfy the constraint condition; if the speed, the acceleration and the turn radius of each path point do not satisfy the constraint condition, the control points are regenerated; otherwise, a planning path output unit receives and outputs a robot path which is planed by the path point parameter detection unit and satisfies the constraint condition.

The present invention provides an S-shaped acceleration and deceleration control method for changing speed and position of an object on line. The method comprises the acceleration phase speed planning, the deceleration phase speed planning, the constant speed phase speed planning, the real speed reduction point predication, the maximum speed processing, the surplus distance compensation, the online object speed changing algorithm and the online object position changing algorithm. An acceleration and deceleration discretization speed planning method is employed and the user input parameters are combined to calculate the operation time of a seven-phase speed planning phase. It is determined whether the maximum acceleration and the maximum speed can reach the criterion or not, the integration problem of a sampling period Ts according to the acceleration / deceleration acceleration, the acceleration / deceleration speed and the final position L after discretization is considered, and the real reachable acceleration / deceleration acceleration, the acceleration / deceleration speed and the feed rate are corrected. The S-shaped acceleration and deceleration control method for changing speed and position of the object on line greatly simplifies an original calculation formula and saves lots of operation time of a computer, and the surplus distance employs a one-time compensation method in the speed reduction process.

Embodiments of the present invention relate to methods and apparatuses for the discretization and manipulation of sample volumes that is simple, robust, and versatile. It is a fluidic device that partitions a sample by exploiting the interplay between fluidic forces, interfacial tension, channel geometry, and the final stability of the formed droplet and / or discretized volume. These compartmentalized volumes allow for isolation of samples and partitioning into a localized array that can subsequently be manipulated and analyzed. The isolation of the discretized volumes along with the device's inherent portability render our invention versatile for use in many areas, including but not limited to PCR, digital PCR, biological assays for diagnostics and prognostics, cancer diagnosis and prognosis, high throughput screening, single molecule and single cell reactions or assays, the study crystallization and other statistical processes, protein crystallization, drug screening, environmental testing, and the coupling to a wide range of analytical detection techniques for biomedical assays and measurements. The minimal fluid interconnects and simple flow geometry makes the device easy to use and implement, economical to fabricate and operate, and robust in its operations.

The invention discloses an electric power user figure establishment and analysis method based on the big data technology. The method comprises steps that the historical electricity information, basic attributes, the fee-paying information and the appeal information of electric power users are acquired; classification category sets of user figures are determined, an influence factor set of a classification result is determined, and a mapping relationship between the influence factor set and the classification set is determined; random extraction of the acquired data is carried out, one part of the data is taken as a training sample, and other data is taken as prediction sample; normalization processing, discretization processing and attribute reduction for the training sample and the prediction sample are carried out, and an influence factor set after correction is determined; the training sample is trained, ten-fold cross validation is taken as a test mode, an electric power user figure prediction model based on a naive Bayes classifier is established, data classification mining analysis on the prediction sample is carried out through utilizing the prediction model, and electric power user figures are acquired. The method is advantaged in that electric power electric quantity prediction and management can be facilitated.

An embodiment of the invention includes a method of simulating a behavior of an energy distribution within a soldered or brazed assembly to predict various physical parameters of the assembly. The assembly typically includes a reactive multilayer material. The method comprises the steps of providing an energy evolution equation having an energy source term associated with a self-propagating reaction that originates within the reactive multilayer material. The method also includes the steps of discretizing the energy evolution equation, and determining the behavior of the energy distribution in the assembly by integrating the discretized energy evolution equation using other parameters associated with the assembly.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

The invention discloses a big-data-based method and system for establishing and analyzing an e-commerce user portrait of a mobile terminal. The method comprises: offline data of a user are obtained; according to an identification code, data of different data sources are integrated into an offline knowledge base; pretreatment including normalization, discretization and attribute reduction is carried on the offline data; feature extraction is carried out on the offline data based on a customized tag rule and a basic tag of the user is constructed; weight and time attenuation factor processing iscarried out on the tag data and a user portrait offline prediction model based on a QPS cluster algorithm is established; data clustering mining is carried out on the offline knowledge base by usingthe prediction model to obtain an e-commerce user portrait of a mobile terminal; and distributed processing is carried out on online behavior data and then the processed data are integrated with the offline model. Therefore, massive data of the e-commerce transaction of the mobile terminal are analyzed in a big data environment; the real-time user behavior can be analyzed quickly and real-time image fusion is realized; and a multi-dimensional user portrait is built, so that the e-commerce user is analyzed comprehensively.

The invention discloses a method for estimating the charge state of a power cell, which comprises the following steps that: 1. a continuous state space model capable of expressing the relationship of each element in an expression circuit is obtained by an equivalent circuit model of a power cell; the relationship between the open-circuit voltage and the cell charge state is obtained through the standing experiment of the power cell, and the cell charge state is introduced into the continuous state space model of the power cell as a state variable; the power battery model under the noise environment is obtained by combining the noise information; and finally the continuous state space model is subjected to linearization and discretization so as to obtain a linear discrete state space model; 2. a relationship curve of the open-circuit voltage and the cell charge state is obtained through the standing experiment of the power cell, and a parameter k and a parameter d in the power cell model are obtained approximately; 3. parameters of the power cell model are obtained through the identification of current and voltage data collected by a data collecting system; and 4. the power cell charge state is estimated by utilizing a moving horizon estimation method based on the determined power cell model.

Method of constructing a geomechanical model of an underground zone intended to be coupled with a reservoir model allowing simulation of fluid flows in the zone, from a geological model of the zone discretized by a fine grid. Basically, geomechanical properties are associated with the various cells of the geological model on the basis of experimental data, the underground zone is discretized by a geomechanical grid with larger cells than the geological grid, and a scale change is applied to the geomechanical data included in the geological model in order to define equivalent geomechanical properties at the scale of the geomechanical grid of the zone. Application: improvement in the quality of coupled simulations between geomechanical and reservoir models.

The invention discloses a method for achieving industrial robot off-line programming based on three-dimensional modeling software. The principle of the method is that a three-dimensional modeling software application programming interface (API) which is suitable for COM or object linking and embedding (OLE) and the like is used in the three-dimensional modeling software environment, model and space matrix data in the three-dimensional modeling software are obtained, a robot virtual body model and a mathematical model are built, and a virtual robot motion control system is realized; discretization from a curve to a point is conducted through obtained space line data, and therefore a motion trail of a robot is generated, actual robot operation is simulated; and an industrial robot controller operational procedure generating module is built, an actual controller executable file is generated and lead out so as to be operated in an actual robot controller, and industrial robot off-line programming can be achieved. The method can achieve off-line programming operation rapidly and generate optimal gesture of corresponding points automatically, time for generating training data is short, and a space curve trail can be achieved conveniently and rapidly, wherein a basis of the space curve trail is difficult to find in reality to conduct teaching.

A method for evaluating fluid flows within a heterogeneous formation, crossed by one or more geometric discontinuities, comprising generating a hybrid grid from a CPG type grid and from structured grids having application, for example, in simulation of hydrocarbon reservoirs. The first stage locally deforms a CPG type grid into a non-uniform Cartesian grid. These local grid cell deformations correspond to the change from a so-called “CPG” frame of reference to a so-called “Cartesian” frame of reference defined by the deformation. These deformations are then quantified and applied to the structured grids so as to shift to the “Cartesian” frame. A hybrid g rid is then generated in the “Cartesian” frame from the two thus deformed grids. Finally, the hybrid grid is deformed to return to the “CPG” frame, prior to improving the grid quality, by optimization under quality control in the numerical scheme sense.

A system configured to capture and / or produce a sound event generated by a plurality of sound sources. In particular, the system may be configured such that the capture, processing, and / or output for sound production of sound objects associated with separate ones of the sound sources may be controlled on an individual based. This discretized control over the sound objects may enhance various aspects of productions of the sound event by systems that do not capture, process and / or output sounds from different sound sources in a manner that maintains the discrete nature of the sound sources.

The invention discloses a physical prediction method for wind power station power based on a computational fluid mechanics model. The physical prediction method comprises the following steps: establishing a computational fluid mechanics model; performing discretization on wind conditions of a wind power station, and taking the discretized wind as boundary conditions for conditions numerical simulation of the computational fluid to obtain space flow filed distribution of the wind power station at the discretized wind conditions; establishing data base of hub height, wind speed, wind direction and generated power of wind generation sets under the discretized wind conditions; and taking numerical weather prediction parameters as input data, and utilizing the data base to figure out the wind speeds and the wind directions of the wind generation sets so as to figure out the generated powers of the wind generation sets, and accordingly obtain predicted value of the wind power station power. According to the invention, the physical prediction method is applicable to multiple wind power stations, has small calculated amount in the power prediction stage and has short calculation time.

In order to design on-chip interconnect structures in a flexible way, a CAD approach is advocated in three dimensions, describing high frequency effects such as current redistribution due to the skin-effect or eddy currents and the occurrence of slow-wave modes. The electromagnetic environment is described by a scalar electric potential and a magnetic vector potential. These potentials are not uniquely defined, and in order to obtain a consistent discretization scheme, a gauge-transformation field is introduced. The displacement current is taken into account to describe current redistribution and a small-signal analysis solution scheme is proposed based upon existing techniques for static fields in semiconductors. In addition methods and apparatus for refining the mesh used for numerical analysis is described.

The invention relates to an internet personalized recommendation technology and particularly relates to a modeling recommendation method based on user behavior data fragmentation cluster. According to the modeling recommendation method, the user behavior data is subjected to fragmentation cluster treatment, a user dynamic interest model is established, so that the personalized recommendation is realized. Compared with the existing personalized recommendation method, the modeling recommendation method has the following differences: the existing personalized recommendation method only considers user interest dynamic time-varying characteristics, while the modeling recommendation method not only considers user interest time-varying characteristics, and also excavates multi-dimensional discrete interest points from behavior data, so that a user interest model is depicted more accurately. According to the modeling recommendation method, aiming at the multi-dimensional discrete interest theme of target users, the concurrence of interest points of users is preliminarily recommended, and finally, the weight, memory and preliminary recommendation result of the interest points of the target user are predicted and scored to be finally recommended, so that the accuracy and the processing capability of the personalized recommendation result are improved.

A system and method for a vehicle-to-vehicle communications system that provide active safety applications employing lightweight geographic authentication using one-time signatures. The system and method require each vehicle to construct a discretized representation of its trajectory, which captures its kinematical history to a tunable degree of accuracy and to a tunable extent in the past. This trajectory information is then signed using a one-time signature. Thus, with every periodic message, the sending vehicle transmits the usual application payload, a signed version of the trajectory as described, and the digital signature over all of the fields.

The invention discloses a target detection method and a target detection system of visual radar spatial and temporal information fusion. The target detection system comprises an acquisition unit, a sampling unit, a superposition unit, a model building unit and an execution unit. The acquisition unit is used for collecting RGB image data and 3D point cloud data to calculate discretized LIDAR depthmap in grayscale; the sampling unit is used for up-sampling and densifying the LIDAR depth map so that the RGB image and the data form of the LIDAR depth map are unified and corresponded to each otherone by one; the superposition unit is used for combining the RGB image and the LIDAR depth map into an RGB-LIDAR picture and superposing the RGB-LIDAR pictures which are continuously collected for multiple times to obtain a superposed RGB-LIDAR picture, wherein the number of the continuous collection of the RGB-LIDAR pictures is equal to or more than 1; the model building unit is used for establishing an RGB-LIDAR data set for the multiple superposed RGB-LIDAR pictures to enter the deep learning network for training and learning and establish a classification model; the execution unit is usedfor taking corresponding decisions according to target analysis results from the classification model. Consequently, the effects of long-distance recognition and high classification accuracy are achieved.

The invention discloses a molding method of components of heterogeneous materials, comprising the following steps of: establishing a CAD model of a three-dimensional body, carrying out variegation on the CAD model, then carrying out discretization slicing delamination to obtain a series of two-dimensional slices with material information and structure information, converting the structure information of each slice into corresponding digital control processing programs, realizing precise accumulation of molding materials of each separated layer by digital control motion and opening and closing of a nozzle, accomplishing microdrop accumulation of the material of the layer according the above method under the control of control processing program of corresponding layer; spraying propping materials for padding, as propping, in areas of each layer which are not sprayed; bonding and overlaying layer by layer to produce the designed three-dimensional body finally; removing padded propping materials of each layer to obtain three-dimensional molded parts containing heterogeneous materials corresponding to computer solid models. The invention can produce heterogeneous materials and functional components with high molding precision and strength quickly, the process is simple, the production cost is low, and the choice of materials is wide.

The invention discloses an interfacial rheological testing method and an interfacial rheological testing apparatus by using liquid drop imagery. According to the invention, after least squares fitting and secondary optimization by using a Newton iteration method are carried out on a discretized Young-lapalace equation theoretical calculated curve and an actual liquid drop contour boundary curve, interfacial chemical properties like surface tension, interfacial tension and a contact angle value, the volume, the area and the wetting line of liquid drops, etc. can be calculated; then interfacial rheological properties like interfacial dilational elasticity Epsilon d and interfacial dilational viscosity Eta d can be obtained through analysis by using an interfacial tension relaxation method; a set of liquid drop sample introduction system and a set of testing apparatus are provided, liquid drop oscillation is realized through corresponding control software so as to increase or reduce the amount of liquid drops and allow oscillation process to accord with sine, cosine, square wave and sawtooth changes. The apparatus provided by the invention enlarges the application field of optical interface chemical analysis apparatuses and meets requirements for high-precision automatic testing of dynamic / static contact angle values, dynamic / static surface tension values, interfacial tension values and interface rheological measurement values.

Embodiments of the present invention disclose a bit interleaved polar code modulation method and apparatus. The method comprises the steps of calculating, according to a maximum mutual information condition, a continuous probability distribution value P(xi) of each constellation point in an M-dimensional constellation map corresponding to a target bit sequence; creating a Huffman tree with all constellation points in the M-dimensional constellation map as leaf nodes; discretizing the P(xi) according to closest (2-k), so as to obtain a discretization probability distribution set of the constellation points; and combining the obtained discretization probability distribution set of the constellation points with Gray mapping, and taking the value as shown in the specification so as to obtain an unequal probability constellation map of the constellation points. According to the method, when the channel capacities are equal, the signal to noise ratio required by the unequal probability distribution constellation map is lower than the signal to noise ratio required by the equal probability constellation map, and the system performance is improved.

The invention discloses a method based on segmented expansion Kalman filtering for estimating the state of charge of a lithium battery. The method mainly comprises the steps of firstly, establishing asecond-order RC equivalent circuit model according to a working mechanism of the lithium battery; secondly, according to experimental data of pulse discharge responses of the lithium battery, utilizing a recursive least square method (RLS) to identify model parameters; thirdly, establishing a state space model of lithium battery discretization, adopting a segmented EKF algorithm to estimate the SOC of the lithium battery. According to the method, the suitable expansion Kalman filtering algorithm is utilized while an intensity nonlinearization process is distinguished from the working processof the lithium battery, and the robustness in the process of adopting a traditional EKF algorithm to estimate SOC is effectively improved; the problem is solved that decrease of filtering precision and possible filtering divergence are caused by Taylor series expansion linearization.