733 results about "Target distribution" patented technology

In order to distribute coupons to a consumer computer a link is established with a coupon server, in response to which the coupon server transmits a file containing a list of participating retail outlets. In response to the consumer's selection of a retail outlet, the coupon server transmits a file containing the inventory of goods offered for sale by the selected retail outlet and data representative of the physical layout of the selected retail outlet indicating the aisle location of the goods. The inventory is displayed by the consumer computer such that each item of goods is individually selectable. The consumer may thus enter a shopping list by selecting one or more items of goods he or she intends to purchase at the selected retail outlet. In response to the selection of goods, the coupon server transmits to the consumer computer a file containing electronic coupons corresponding to one or more of the selected goods and a file containing data identifying the aisle location in the selected retail outlet of the goods selected by the consumer.

A brake apparatus for a vehicle generally sets an upper limit value of regenerative braking force to the maximum value of the regenerative braking force which can be generated at the present. In the case of a front-wheel-drive vehicle, the total braking force, the sum of front-wheel braking force (front-wheel hydraulic braking force+regenerative braking force) and rear-wheel braking force (rear-wheel hydraulic braking force), is rendered coincident with a target braking force corresponding to a brake pedal depressing force, and the regenerative braking force is set to a largest possible value equal to or less than the upper limit value. As a result, the regenerative braking force can be larger than front-wheel-side target distribution braking force. The upper limit value is decreased from the maximum value by an amount corresponding to the degree of easiness of occurrence of a locking tendency at the driven wheels (front wheels).

A system, method, and computer program product to automatically eliminate the distribution information available for reconstruction from a disguised dataset. The invention flattens input numerical values into a substantially uniformly distributed dataset, then maps the uniformly distributed dataset into equivalent data in a target distribution. The invention allows the incremental encryption of new values in an encrypted database while leaving existing encrypted values unchanged. The flattening comprises (1) partitioning, (2) mapping, and (3) saving auxiliary information about the data processing, which is encrypted and not updated. The partitioning is MDL based, and includes a growth phase for dividing a space into fine partitions and a prune phase for merging some partitions together.

The presently-disclosed solution provides cross-ledger transfers between distributed ledgers to achieve highly-scalable transaction throughput. Disclosed are methods and instruction code for writing a cross-ledger transfer in a way that effectively transfers value from a source distributed ledger to a target distributed ledger while preventing double spending of the value. This results in the transformation of the ledgers in that the total value in the source ledger is decreased by the transferred value while the total value in the target ledger is increased by the same amount. Also disclosed are system architectures that utilize cross-ledger transfers between multiple distributed ledgers to achieve highly-scalable transaction throughput. Also disclosed are computer apparatus configured to implement cross-ledger transfers between distributed ledgers. Other embodiments and features are also disclosed.

The invention belongs to the technical field of image processing, and discloses an image conversion method and system based on a generative adversarial network and a ResNts technology. The image conversion method comprises the following steps of firstly, designing an enhanced high-resolution dual GAN image conversion algorithm by utilizing a dual learning method combining two GAN confrontation mechanisms and a norm loss function, and realizing image conversion based on unsupervised learning by adopting an unlabeled data set through a model; secondly, realizing the conversion from source distribution to target distribution by introducing constraint conditions for reconstructing a consistency loss function, and then reconstructing the source distribution; and finally, adding a stable normalization layer in the discriminator. Compared with the resolution of images generated by Pix2pixGAN, CycleGAN and DualGAN, the average values of the ERGAN algorithmPSNR / SSIM provided by the invention are improved by 16% / 35%, 2% / 9% and 4% / 6% respectively.

Embodiments relate to systems and methods for automatic upgrade and downgrade in package update operations. A physical or virtual client machine can host an installed software distribution including a set of installed software packages, such as an operating system, application, and / or other software. A package manager on the client can manage the set of installed packages, and report the installed distribution including version and component packages to one or more package servers. When a distribution upgrade is initiated, the package manager and / or other distribution logic can analyze the target distribution, to determine whether each package in the target distribution represents the most-current version of each component package. Packages which represent the most-current can be installed. Packages which do not represent the most-current version, e.g. due to slippage in vendor updates or versions, can be substituted with a most-current version automatically retrieved from a software repository or other source.

A data structure that includes at least one partition containing non-confidential quasi-identifier microdata and at least one other partition containing confidential microdata is formed. The partitioned confidential microdata is disguised by transforming the confidential microdata to conform to a target distribution. The disguised confidential microdata and the quasi-identifier microdata are combined to generate a disguised data structure. The disguised data structure is used to carry out statistical analysis and to respond to a statistical query is directed to the use of confidential microdata. In this manner, the privacy of the confidential microdata is preserved.

A graphics application for simulating natural media drawing and painting may model a tablet stylus as if it were a virtual airbrush tool that sprays paint on a virtual canvas (tablet). The application may compute a conical shape of the paint spray, a target area in which to create an airbrush mark, and a target distribution of the paint to be deposited within the target area based on values of configurable parameters of the application and on 6DOF data collected from the tablet stylus and the tablet. The target distribution shape may be based on a hardness parameter. The virtual airbrush tool may create the mark using texture projection or by emitting multiple individual paint particles, which may have random sizes and velocity directions. In a hybrid mode, a granularity parameter may control the relative contributions of texture projection and particle emission in creating a given airbrush mark.

The embodiment of the application discloses a service switching method, a context migration method and related equipment for ensuring the continuity of services. The method disclosed by the embodiment of the invention comprises the following steps: a target distributed control unit (DU) receives a switching request message sent by a centralized control unit (CU), and the switching request message carries at least one of the following information: the switching of a URLLC service for indicating the target DU to perform near-end deployment, a context migration protocol supported by a URLLC service server for indicating a source DU to perform near-end deployment, the information for indicating delay requirements corresponding to the URLLC service, and the information for indicating packet loss rate requirements corresponding to the URLLC service; the target DU sends a switching request response message to the CU, and the switching request response message is used for the CU to indicate UE to initiate an access to the target DU; and the switching request response message carries at least one of the following information: an IP address of a target URLLC service server, an IP address of a target local gateway, instructions for supporting the switching and a negotiated context migration protocol of the URLLC server.

The invention provides a method of identifying large and medium-sized objects based on multi-source remote sensing image fusion. The method comprises that multispectral and SAR images are segmented into image areas according to spectrum distribution between different objects and differences of electromagnetic radiation, and a potential area of an object is extracted according to experience and knowledge of object distribution, so that characteristic extraction and object identification are more targeted while identification efficiency and identification accuracy of the system are improved; that based on the above, object areas are determined by extracting object contour, spatial layout and the like, and sub-object areas are divided according to spatial layout relation of the object contour and sub-object spatial layout; and that sub-object characteristics are extracted, and with the guidance of object characteristic set and object prior knowledge, sub-object identification and object verification are finally realizedby execution of identification rules and matching of characteristics.

The invention discloses a method and device for planning a distribution path based on standard box orders. Received multiple store orders are divided into task groups to be distributed, and distributed by target distribution equipment in a unified manner; according to the store geographical positions and the store order distribution sequence corresponding to store orders in the task groups to be distributed, an initial distribution path is generated; the initial distribution path includes multiple nodes; then, according to the freight volume of the store orders based on standard boxes, the retention time of the target distribution equipment is determined, so that the practical distribution starting time of a store order corresponding to the next node can be determined; if the practical distribution starting time is lagged behind the planned distribution starting time, the distribution path is re-planned; and thus, an optimal distribution path is obtained. By means of the method provided in the invention, frequently congested road sections and currently constructed road sections in roads can be evaded; therefore, the congestion condition does not exist or is as little as possible on the whole distribution path; the distribution efficiency of the distribution equipment is increased; and delayed delivery of the store order corresponding to the next node can be avoided.

A technique, and associated system and computer executable program code on a computer readable storage medium, for automatically correcting distortion of a front-projected display under observation by at least one camera. The technique may be employed in a myriad of front-projected display environments, e.g., single or multiple projectors and cameras are used. The technique includes: observing a first image, projected from at least one projector, comprising at least one target distribution of light intensities; for each conglomeration of white pixels of a difference image, compute a bounding box comprising a corresponding conglomeration of pixels in a framebuffer information of the camera, compute a bounding box comprising a corresponding conglomeration of pixels in a framebuffer information of the projector, compute an initial homography matrix, Htemp, mapping pixels of the projector's bounding box to those of the camera's bounding box, optimize the initial homography matrix, compute a central location, (Cx, Cy), of the camera's bounding box using the initial homography matrix; and using a plurality of correspondence values comprising the correspondence, compute a corrective transform to aid in the automatic correcting of the display.

The invention relates to the field of video image processing and provides an image processing method of a self-adaptive time domain and spatial domain resolution ratio frame. The method comprises the following steps: A. an encoder computes and obtains the conditional value of the critical code rate according to the variation of an input video image and a target distribution code rate; B. the encoder compares the conditional value and the threshold value of the critical code rate; if the conditional value of the critical code rate is less than the threshold value, i.e. when the target distribution code rate is less than the critical code rate, the image resolution ratio which is adaptive to the target distribution code rate is obtained through the under-sampling; otherwise, the conventional coding processing is carried out; and C. the encoder recovers and receives the original resolution rate of the image through the upsampling and carries out the conventional coding processing. The method does not cause that the imaged decoded by the encoder produces serious distortion caused by the over-compression or over-quantization of the encoder in the situation of ensuring the low code rate.

A pattern from a patterning device is applied to a substrate by a lithographic apparatus. The applied pattern includes product features and metrology targets. The metrology targets include large targets and small targets which are for measuring overlay. Some of the smaller targets are distributed at locations between the larger targets, while other small targets are placed at the same locations as a large target. By comparing values measured using a small target and large target at the same location, parameter values measured using all the small targets can be corrected for better accuracy. The large targets can be located primarily within scribe lanes while the small targets are distributed within product areas.

The invention discloses a self-adaptation flight path data correlation method comprising the following steps: establishing and maintaining a public data flight path table and a message queue, wherein the flight path table is mainly used for maintaining flight path data and comprises attribute information of flight paths per se, information of flight path points, information of sequential lengths, state information of an affiliated flight path, information of an affiliated fused flight path and the like, and the message queue comprises flight path batch numbers used for searching corresponding flight paths; and distinguishing correlation states of an input flight path into three states, namely undistributed state, undetermined distribution state and determined distribution state by automatically updating a flight path correlation sequential length M, thus enabling a flight path correlation algorithm to automatically adapt to different target distribution, different target motion states, and different tracking dimensions, tracking accuracy and tracking stability of different sensors and overcome adverse influences of the differences on correlation judgments. By applying the method, data synthesis is carried out only on input flight paths in the determined distribution state, so that the precision of the fused flight path is favorably maintained.

Method and system for providing a mechanism for determining an optimal workload distribution, from a plurality of candidate workload distributions, each of which has been determined to optimize a particular aspect of a workload-scheduling problem. More particularly, the preferred embodiment determines a workload distribution based on resource selection policies. From this workload distribution, the preferred embodiment optionally determines a workload distribution based on job priorities. From either or both of the above parameters, the preferred embodiment determines a workload distribution based on a total prioritized weight parameter. The preferred embodiment also determines a workload distribution which attempts to match the previously determined candidate workload distributions to a goal distribution. Similarly, the preferred embodiment calculates a further workload distribution which attempts to maximize job throughput.

A system, method, and computer program product to automatically eliminate the distribution information available for reconstruction from a disguised dataset. The invention flattens input numerical values into a substantially uniformly distributed dataset, then maps the uniformly distributed dataset into equivalent data in a target distribution. The invention allows the incremental encryption of new values in an encrypted database while leaving existing encrypted values unchanged. The flattening comprises (1) partitioning, (2) mapping, and (3) saving auxiliary information about the data processing, which is encrypted and not updated. The partitioning is MDL based, and includes a growth phase for dividing a space into fine partitions and a prune phase for merging some partitions together.

The embodiment of the invention discloses a distributed file system management method, a device and a corresponding file system. The distributed file system management method comprises the following steps of: receiving a file storage request sent by a client; searching a target distributed file system corresponding to a target file according to preset classification rule information, wherein the target file is a file requested by the file storage request; sending the file storage request to the target distributed file system according to a preset file storage protocol; and responding the file storage request of the client. The invention can solve the problem that the number of files stored by the distributed file system is restricted by the memory size of a metadata server, and ensure that when the memory of the metadata server can not be increased any more, the distributed file system can still be expanded through the mode of adding the metadata server. Meanwhile, the invention has the advantages of good expandability, easy realization and low cost.

The invention discloses an automatic detection and identification method for hidden articles. The method comprises the following steps of: performing millimeter-wave scanning on a detected person to obtain an original image; regulating the original image to obtain a target image; segmenting and locating parts of a human body according to the target image; generating a bar combination model; detecting a non-human body target according to the original image to obtain a non-human body target distribution original image; obtaining position distribution information of the non-human body target distribution original image relative to the human body through the bar combination model; and identifying the type of the non-human body target and displaying the position distribution information of the hidden articles relative to the human body. By the automatic detection and identification method for hidden articles provided by the invention, a manual mode of detection and identification for the hidden articles is changed to an automatic mode, demands on staff is lowered, human error is reduced, and the detection and judging time is shortened.

The embodiment of the invention provides a message push method and device. The method comprises the following steps: establishing a user portrait, wherein the user portrait comprises user attribute characteristics, service line characteristics and distribution channel characteristics; when a to-be-pushed message for a target user is received, determining a target user portrait corresponding to thetarget user, wherein the target user is mapped with a plurality of distribution channels; inputting the to-be-pushed message and the target user portrait into a pre-established channel prediction model, and obtaining a target distribution channel corresponding to the to-be-pushed message; and pushing the to-be-pushed message to the target user by adopting the target distribution channel. According to the embodiment of the invention, an optimal distribution channel is selected based on the user portrait, and the message is pushed to the user by adopting the optimal distribution channel, therefore the recall rate of the user is improved.

The objective of the present invention is to provide a vehicle motion control device capable of controlling the driving force distribution to the wheels with superior stability and response while effectively utilizing the tire grip. Specifically, the present invention provides a vehicle motion control device for a vehicle, the vehicle having a plurality of wheels and a driving device for driving the wheels based on a driving force / load distribution ratio, having: a force detection unit for detecting forces that act on the wheels; a target distribution ratio calculating unit for obtaining nonlinear terms by use of a group of parameters including the forces detected by the force detection unit, and obtaining a target value of the driving force / load distribution ratio so as to minimize the nonlinear terms, the nonlinear terms being included in elements of a system matrix of equations of state that describe a state of motion of the vehicle; and a driving device control unit for controlling the driving device based on the target value of the driving force / load distribution ratio.

The invention relates to a multiple-unmanned-aerial-vehicle cooperated multi-target distribution method which comprises the steps of firstly numbering a plurality of unmanned aerial vehicles and a plurality of targets, wherein U represents the number of the unmanned aerial vehicles and T represents the number of the targets; then constructing a flight cost model according to magnitudes of U and T and an unmanned aerial vehicle flight cost parameter, wherein the unmanned aerial vehicle flight cost parameter comprises a flight range cost, an execution time cost and a damage cost; and finally performing optimized solving on the flight cost model by means of a heuristic genetic algorithm until a requirement for an optimized target is satisfied. According to the multiple-unmanned-aerial-vehicle cooperated multi-target distribution method, through adding the unmanned aerial vehicle damage cost in the flight cost, three most basic conditions are extracted for modeling for aiming at a relationship between the unmanned aerial vehicles and the number of targets so that a model approaches to reality; and in target distribution, the heuristic genetic algorithm is utilized. Through introducing heuristic information, algorithm execution efficiency is effectively increased and a precocity problem of the genetic algorithm is prevented. The multiple-unmanned-aerial-vehicle cooperated multi-target distribution method is better than a basic genetic algorithm and a differential evolution algorithm at aspects of convergence speed and convergence value.

The invention discloses a method for realizing angular super-resolution imaging of forward-looking sea surface targets in a sea clutter background. According to the convolution characteristic of azimuth dimension echoes of scanning radar, echo signals of the scanning radar are rearranged into a form of the product of an azimuth dimension target vector and a convolution measurement matrix in the distance dimension order. Then a maximum posterior target function for solving original scene distribution is constructed on the basis of the Bayes formula according to characteristics that sea clutter obeys Rayleigh distribution and the sea surface targets obey Laplace, original sea surface target distribution is inverted by the aid of an acquired maximum posterior deconstruction iterative equation, and angular super-resolution imaging is realized. According to the method, the Rayleigh distribution is used for representing sea clutter characteristics, the Laplace distribution is used for representing the target characteristics, an iteration expression of the convolution inversion problem is derived in the Bayes principle, reconstruction of original imaging scenes is realized, and azimuth high-definition pictures of the forward-looking sea surface targets are acquired.

The invention provides a method for energy optimization of a distributed power generation and energy supply system, belonging to the technical field of electric power energy conservation. The method is mainly applied to evaluation of energy-saving and emission-reduction benefits of the distributed power generation and energy supply system when the distributed power generation and energy supply system is connected to an electric network. The method comprises the following steps of: firstly, establishing an energy optimization model of the distributed power generation and energy supply system with four sub-goals of minimizing the total annual planning cost, maximizing the generating capacity of renewable energy sources, minimizing the annual power failure quantity and minimizing the annual capacity shortage; secondly, defining goal optimization functions of the four sub-goals, unifying dimensions of the pollution discharge capacity, the power failure quantity and the capacity shortage of the system through gross penalty, and establishing a single-goal optimization function of the system by adopting a linear weighted sum method, wherein weighing coefficients are determined by adopting a dualistic contrast constant weight method; and finally, performing simulation and solving on the distributed power generation and energy supply system by adopting a heuristic global optimization algorithm to obtain values of the four optimization sub-goals. By the method, the multi-goal energy optimization of the distributed power generation and energy supply system is realized, and the aims of energy saving and emission reduction are achieved.

Methods and apparatus are provided for approximating a probability density function or distribution for a received value in communication or storage systems. A target distribution is approximated for a received value in one or more of a communication system and a memory device, by substantially minimizing a squared error between the target distribution of the received values and a second distribution obtained by mapping a predefined distribution, such as a Gaussian distribution, through a mapping function, wherein the second distribution has an associated set of parameters. The mapping function can be, for example, a piecewise linear function. The second distribution has a plurality of segments and each of the segments has an associated set of parameters. The associated set of parameters can be used to compute probability values, soft data values or log likelihood ratios.

The invention discloses a GAN architecture and method for performing data augmentation on a medical image data set based on a generative adversarial network (GAN). The method comprises the steps of: acquiring a real data set of an existing medical image; in the samples, taking out samples containing lesions and samples not containing lesions to serve as a group to be input together, and operatinga cyclic generative adversarial network to obtain artificial samples similar to real data; adding the artificial sample into the real data set to obtain a mixed data set; and taking the mixed data setas input, and performing a classification task by using a classifier. According to the method, a reconstruction consistency loss function constraint condition is introduced, source distribution is converted into target distribution, and then the source distribution is reconstructed; finally, a stable normalization layer is added in a discriminator, the distribution characteristics of real data are effectively simulated, an image is generated through the generative adversarial network for data enhancement, then a large number of medical image samples are simulated, and the influence of insufficient data samples on a medical image data classification task is effectively improved.

The invention relates to a cylindrical target for a three-dimensional laser scanning system, comprising a target main body, a base and a connecting column which are in an integral structure. The target main body is in a cylinder shape, and the cylindrical outer surface is coated with reflectorized paint or reflective paper to form a cylindrical reflective surface. The seat is a cylinder which has the same axis with the target main body, one end is connected with the target main body through the connecting column, and the center of the other end is provided with a thread hole and then can be connected with a tripod. Thus, a laser scanner can scan the cylindrical target from different station points, and is equivalent to scan against the cylindrical reflective surface. By scanning the cylindrical target through the laser scanner from different station points, the simulated positions of the center axis of the cylindrical target is the same. When the invention is sued for carrying out the registration operation of three-dimensional laser scanning, the target distribution is convenient, the field operation time is shortened, and the registration precision is high.

A speech recognition method, comprising:receiving a speech input in a first noise environment which comprises a sequence of observations;determining the likelihood of a sequence of words arising from the sequence of observations using an acoustic model, comprising:providing an acoustic model for performing speech recognition on a input signal which comprises a sequence of observations, wherein said model has been trained to recognise speech in a second noise environment, said model having a plurality of model parameters relating to the probability distribution of a word or part thereof being related to an observation;adapting the model trained in the second environment to that of the first environment;the speech recognition method further comprising determining the likelihood of a sequence of observations occurring in a given language using a language model;combining the likelihoods determined by the acoustic model and the language model and outputting a sequence of words identified from said speech input signal,wherein adapting the model trained in the second environment to that of the first environment comprises:adapting the model parameters of the model trained in the second noise environment to those of the first noise environment using transform parameters to produce a target distribution, wherein the transform parameters have a block diagonal form and are applied to regression classes, each regression class comprising a plurality of probability distributions;mimicking the target distribution using a linear regression type distribution, said linear regression type distribution comprising mimicked transform parameters;and estimating the mimicked transformed parameters.