416 results about "Space mapping" patented technology

The disclosed embodiments disclose techniques for managing a global namespace for a distributed filesystem. Two or more cloud controllers collectively manage distributed filesystem data that is stored in a cloud storage system; the cloud controllers ensure data consistency for the stored data, and each cloud controller caches portions of the distributed filesystem. Furthermore, a global namespace for the distributed filesystem is also split across these cloud controllers, with each cloud controller “owning” (e.g., managing write accesses for) a distinct portion of the global namespace and maintaining a set of namespace mappings that indicate which portion of the namespace is assigned to each cloud controller. During operation, an initial cloud controller receives a request from a client system to access a target file in the distributed system. This initial cloud controller uses the namespace mappings for the global namespace to determine a preferred cloud controller that will handle the request.

Systems and methods are provided for combined social behavior tracking, online surveillance and web bot software technologies via a mobile device or computer for tracking online consumer behavior and data, cookies, embedded advertisements, predicting online consumer behavior, buying patterns by monitoring online activities, online communications, search inquiries, social networking, social plugins, social applications, advertisements, purchasing, behavior, and buying patterns, consumer address books and contact lists, blogs, chat rooms, friends, acquaintances and strangers, instant messaging, text chat, internet forum, service providers, travel and hospitality, real estate, educational services, ancillary services (as defined herein) and delivery system for behavior targeting and filtering of coupons, mobile services, products, goods and services, advertisements and service providers and related company information on a three dimensional geospatial platform using multi-dimensional and scalable geospatial mapping associated with entities providing and/or members of the service and/or social networking.

The present invention relates to methods and systems of snapshot management of a file system in a data storage system. To represent the snapshots, the invention maintains pointers to the root block pointer of each snapshot. When the active file system is modified, this invention avoids overwriting any blocks used by previous snapshots by allocating new blocks for the modified blocks. When the invention needs to put an established block in a new location, it must update a parent block to point to the new location. The update to the parent block may then require allocating a new block for the new parent block and so forth. Parts of the file system not modified since a snapshot remain in place. The amount of space required to represent snapshots scales with the fraction of the file system that users modify. To maintain snapshot integrity, this invention keeps track of the first and last snapshots that use each block in space map blocks spread throughout the file system data space. When users delete snapshots, this invention may use a background process to find blocks no longer used by any snapshot and makes them available for future use.

This invention discloses a flash file system management method, which comprises the following steps: to divide the flash memory into FAT area and data memory area; to establish the space mapping form and to write the data block of each file into the block; to write the new file ID, block number, file researching number into the record; then to orderly write each data block into the spare block and to write each data block number into relative positions of the space mapping form; only to operate the file data memory area when updating file data; to identify the place of the data to be read when reading the data for searching the data block.

The invention discloses an image-guided lung interventional operation system which comprises an image acquiring module, a lung region reconstruction module, a lung respiratory movement model construction module, an operative instrument and operative region image space mapping module, a dynamic focus space-positioning and guide module and an another image acquiring module. The image acquiring module is connected with the lung region reconstruction module which is connected with the lung respiratory movement model construction module, the lung respiratory movement model construction module is connected with the dynamic focus space-positioning and guide module, and the another image acquiring module is connected with the operative instrument and operative region image space-mapping module which is connected with the dynamic focus space-positioning and guide module. Real-time space positioning of dynamic focuses is achieved, early diagnosis of carcinogenesis of lung nodule can be achieved, and error of space positioning precision is within 2mm.

The present invention relates to methods and systems of snapshot management of a file system in a data storage system. To represent the snapshots, the invention maintains pointers to the root block pointer of each snapshot. When the active file system is modified, this invention avoids overwriting any blocks used by previous snapshots by allocating new blocks for the modified blocks. When the invention needs to put an established block in a new location, it must update a parent block to point to the new location. The update to the parent block may then require allocating a new block for the new parent block and so forth. Parts of the file system not modified since a snapshot remain in place. The amount of space required to represent snapshots scales with the fraction of the file system that users modify. To maintain snapshot integrity, this invention keeps track of the first and last snapshots that use each block in space map blocks spread throughout the file system data space. When users delete snapshots, this invention may use a background process to find blocks no longer used by any snapshot and makes them available for future use.

Releasing a data set at a source device in connection with migrating data from the source device to a target device includes mapping application address space to address space containing metadata for the target device and providing additional local metadata therefor, replacing within the application the address of metadata for the source device with the address of metadata for the target device, setting a diversion flag that is part of the additional local metadata, where the diversion flag indicates a remapping of extent, and closing and unallocating the data set at the source device. Releasing a data set at a source device in connection with migrating data from the source device to a target device may also include determining if an application uses standard I/O operations. The metadata may include UCB data.

The invention relates to a method of determining if a block was modified in a file system by comparing the versions of the base snapshot, the delta snapshot, and the space map block entry (b, e). In another aspect, the invention relates to a method of searching for blocks modified in a tree structured file system. The invention relates to methods and systems of snapshot management of a file system in a data storage system. To represent the snapshots, the invention maintains pointers to the root block pointer of each snapshot. When the active file system is modified, this invention avoids overwriting any blocks used by previous snapshots by allocating new blocks for the modified blocks. When the invention needs to put an established block in a new location, it must update a parent block to point to the new location. The update to the parent block may then require allocating a new block for the new parent block and so forth. Parts of the file system not modified since a snapshot remain in place. The amount of space required to represent snapshots scales with the fraction of the file system that users modify. To maintain snapshot integrity, this invention keeps track of the first and last snapshots that use each block in space map blocks spread throughout the file system data space. When users delete snapshots, this invention may use a background process to find blocks no longer used by any snapshot and makes them available for future use.

Systems and methods for sharing a physical cache among one or more clients in a stream data processing pipeline are described. One embodiment, among others, is directed to a system for sharing caches between two or more clients. The system comprises a physical cache memory having a memory portion accessed through a cache index. The system further comprises at least two virtual cache spaces mapping to the memory portion and at least one virtual cache controller configured to perform a hit-miss test on the active window of the virtual cache space in response to a request from one of the clients for accessing the physical cache memory. In accordance with some embodiments, each of the virtual cache spaces has an active window which has a different size than the memory portion. Furthermore, data is accessed from the corresponding location of the memory portion when the hit-miss test of the cache index returns a hit.

The invention provides an attention model-based image identification method and system. The method comprises the steps of firstly obtaining an input feature graph with an image matrix in a shape [W,H,C], wherein W is width, H is height and C is a channel number; and secondly performing space mapping on the input feature graph by using a preset space mapping weight matrix, performing activation through an activation function to obtain a space weight matrix, and multiplying the space weight matrix by the image matrix of the input feature graph by bit to obtain an output feature graph, wherein the preset space mapping weight matrix is a space attention matrix [C,1] with attention depending on image width and height, at the moment, the shape of the space weight matrix is [W,H,1], or the presetspace mapping matrix is a channel attention matrix [C,C] with attention depending on the image channel number, at the moment, the shape of the space weight matrix is [1,1,C]. The pertinence of feature extraction can be effectively improved, so that the extraction capability of image local features is enhanced.

A computer system having a kernel for mapping virtual memory address space to physical memory address space. The computer system uses a method for performing an input/output operation. A physical memory buffer is registered with a subsystem, and the physical memory buffer is associated with a first virtual address, a size and a key. The physical memory buffer is dynamically associated with a second virtual address which is different from the first virtual address. As part of an application program an input/output operation is requested regarding the second virtual address. An application table is used to obtain the first virtual address, the key and the size. The first virtual address, the key and the size are supplied to the subsystem. The subsystem uses the first virtual address, the key and the size, to determine the physical memory buffer and performs an input/output operation using the physical memory buffer without intervention of the kernel.

The invention discloses a land surface soil moisture downscaling method based on multisource remote sensing satellite merged data and is particularly applicable to cloudy and rainy areas. The method comprises the following steps: collecting and arranging a passive microwave soil moisture data set, an LST (land surface temperature) and NDVI (normalized difference vegetation index) data set and DEM(digital elevation model) data; performing spatial interpolation on LST images with serious pixel deletion affected by cloud and rain by adopting an NDVI and DEM data set as auxiliary data to obtain aday-by-day LST data set almost totally covering a research area; constructing a mathematic relation model for microwave soil moisture with optical remote sensing LST and NDVI by a geographical weighted regression model, and obtaining a land surface soil moisture data set with high spatial resolution with the mathematic relation model. Through the adoption of the method, reliability of a descalingresult and universality of descaling in the wide-range research area are improved effectively, and precision and efficiency of wide-range space mapping and monitoring for soil moisture content in thecloudy and rainy areas are improved.

The invention provides a non-contact sight-line tracking method based on self-adaptive calibration. A light spot characteristic extracting method combining the BFS algorithm, image geometric features and gray features is used for accurately matching light spots with corresponding light sources; by means of a fitting method comprising the steps that circular fitting is conducted through a one-dimension edge detection operator and least square ellipse fitting, and noisy points are removed until the center of an ellipse is fixed, the accurate centers of pupils are obtained finally. Besides, a dynamically self-adaptive calibration is provided, and existing space mapping model precision is improved effectively.

The invention discloses a multiprocessor System and synchronous engine device thereof. the synchronous engine includes: a plurality of storage queues, wherein one of the queues stores all synchronization primitives from one of the processors; a plurality of scheduling modules, selecting the synchronization primitives for execution from the plurality of storage queues and then according to the type of the synchronization primitive transmitting the selected synchronization primitives to corresponding processing modules for processing, scheduling modules corresponding in a one-to-one relationship with the storage queues; a plurality of processing modules, receiving the transmitted synchronization primitives to execute different functions; a virtual synchronous memory structure module, using small memory space and mapping main memory spaces of all processors into a synchronization memory structure to realize the function of all synchronization primitives through a control logic; a main memory port, communicating with virtual synchronous memory structure module to read and write the main memory of all processors, and initiate an interrupt request to processors; a configuration register, storing various configuration information required by processing modules.

The invention belongs to the cross-media information technology field and particularly is an image optimization clustering method based on the typical correlation analysis. The invention mainly adopts the typical correlation to analyze while considering content characteristics of media data in various modes, maps the characteristics of the media data in various modes to an isomorphism sub-space of a united dimension through the sub-space mapping algorithm and obtains the final clustering result through optimizing clustering algorithm. The invention overcomes single-mode characteristic limitation in the multimedia field where only data is used, effectively solves the isomerism problem of the media data in various modes on the bottom layer characteristics, realizes the united measurement of the media object information between various modes, obtains results which are more accurate, more effective and more comforted to the needs in the large scale image data and has a wide application value in the cross-media processing and the retrieval field.

One embodiment of the invention is a method for forming a solver for a loop nest of code, the method comprising forming a time and space mapping of a portion of the loop nest, performing at least one optimization that is dependent on the time and space mapping to the portion of the loop nest, and forming a solver from the optimized portion of the loop nest.

The invention provides a non-contact sight tracking method based on corneal reflex. The method comprises steps as follows: step one, positioning of human eyes; steps two, calculation of light spot coordinates; step three, accurate positioning of pupils; and step four, space mapping: mapping of space coordinates is performed according to the calculated coordinates of four light spots on a screen, the coordinates of the pupil centers and the invariant principle of a cross ratio in the projective geometry. According to the provided technical scheme, a user doesn't need to wear other devices, so that limitation to the user is reduced greatly; a new pupil edge fitting scheme is proposed and used for circularly fitting and rejecting ideal points, so that the accurate pupil center is obtained, and the mapping accuracy is improved; and compared with the conventional correlational research, the accuracy is improved greatly.

The invention belongs to the technical field of cross-modal retrieval, and particularly relates to an image-text retrieval system and method based on a multi-angle self-attention mechanism. The systemcomprises a deep convolutional network, a bidirectional recurrent neural network, an image, a text self-attention network, a multi-modal space mapping network and a multi-stage training module. The deep convolutional network is used for acquiring an embedding vector of an image region feature in an image embedding space. The bidirectional recurrent neural network is used for acquiring an embedding vector of a word feature in a text space, and the two vectors are respectively input to the image and the text self-attention network. The image and text self-attention network is used for acquiringan embedded representation of an image key area and an embedded representation of key words in sentences. The multi-modal space mapping network is used for acquiring the embedded representation of the image text in the multi-modal space. The multi-stage training module is used for learning parameters in the network. A good result is obtained on a common data set Flickr30k and an MSCOCO, and the performance is greatly improved.

In view of the characteristics of the high-resolution remote sensing images, the invention provides a practical intelligent method for classifying images, which comprises the following six steps: generating the image segmentation result of a full-color image; acquiring the segmentation result of a multispectral image by utilizing space mapping; determining whether the segmented regions of the full-colour image are insufficiently segmented; resegmenting the detected insufficiently-segmented region; generating the regional feature space; and classifying the image by using a classifier. The invention solves the problem that the insufficiently-segmented regions frequently influence the image classification precision in the image classification process. The method is suitable for high-resolution images from remote sensing satellites, such as IKONOS, QUICKBID and the like, and plays an important role in extracting application messages, such as target identification, resource environment survey, land utilization trends, disaster monitoring, disaster situation evaluation and the like.

The invention discloses a self-intended crowd density estimation method for a camera capable of straddling. The steps of the self-intended crowd density estimation method for the camera capable of straddling comprise capturing a video monitoring signal, obtaining a video monitoring population image and conducting space mapping processing toward the video monitoring population image, picking up a foreground image of population motion according to a geographical reference and conducting operation such as edge detection and morphological processing towards the foreground image. If a foreground edge pixel number is smaller than a threshold value being set, a crowd density is calculated through a low density population estimation model and is classified according to a crowd density degree standard. If the foreground edge pixel number is larger than the threshold value being set, a textual feature of the foreground image is picked up; the crowd density degree is estimated by using a camera capable of straddling support vector machine (SVM) crowd density classifier. The self-intended crowd density estimation method for the camera capable of straddling adopts a video data space mapping method to unify video data to the geographical reference so that the problem of various population image sizes of different monitoring devices is solved, scene dependency of a model is overcome and establishing efficiency of a crowd density estimation model is greatly improved.

A method for analyzing a biologic fluid sample includes the steps of: a) providing a spatially mapped chamber; b) providing a predetermined repeatable non-uniform spatial distribution of one or more constituents within the sample, which distribution indicates the presence or absence of a statistically significant number of constituents within the sample in each chamber sub-region; c) selecting one or more image techniques for each sub-region based on the presence or absence of the statistically significant number of one or more constituents in that sub-region as indicated by the distribution; d) creating image data representative of the biologic fluid sample in each sub-region, using the one or more image techniques selected for that sub-region; and e) analyzing the sample.

The invention provides a virtualization storage management device and method which is applied to a virtualization management server. The virtualization management server is provided with virtualization management software and used for managing at least one computing node. The invention further provides a local virtualization storage management device and method applied to the computing nodes which are used for computing virtualization and provided with virtualization software. Each computing node comprises a reserved physical storage space for installing the virtualization software and a planning physical storage space for unified management. The virtualization storage management device maps the planning physical storage space of at least one computing node as a logic sharing storage space and builds an address mapping relation table for saving the address mapping relation between the logic sharing storage space and the planning physical storage space of each computing node. By the device and method, a user does not need to purchase extra storage equipment to serve as the sharing storage of a virtualization platform, and operation and maintenance cost is saved.

The present invention relates to an electric taxi charging station planning method based on an adaptive quantum genetic algorithm. The method comprises the steps of (1) initializing basic data needed by planning, and estimating the value range of a charging station number, (2) randomly generating a chromosome corresponding formula, and forming a population, (3) carrying out solution space transformation and mapping a randomly generated angular space to a charging station address coordinate space, (4) using a Voronoi diagram to divide the service range of a charging station corresponding to chromosome, (5) calculating the average waiting time in queue of each charging station based on the charging requirement in the service range, (6) planning the expression of total society whole year total cost target function minimization according to electric taxi charging stations, (7) carrying out a quantum rotation gate updating operation and a quantum bit variation operation, (8) returning to the step (3) to carry out loop calculation until a convergence condition is satisfied. The method has the advantages that the optimized layout of charging station site is realized, the influence on the planning by taxi distribution, passenger demand distribution, and a road network structure can be reflected, and the method is effective and practical.