2754 results about "Spatial structure" patented technology

A combined-rib cavity member for space-structure flooring includes cavity form and structure bottom plate, which are connected into one integral whole. It is characterized by that there are at least two cavity forms arranged alternate with each other on the structure bottom plate, its side forms with the structure bottle plate at least one subrit form cavity of casti-in-situ structure, and other other sides of the cavity form forms the side fromboard of main rib or beam or wall for cast-in-situ structure. By this, the subrib of cast-in-situ structure can be formed in the sub-rib form cavity on the structure battom plate, the sub-rib participates in load bearing of structural bottom slat, cast-in-situ main rib, cast-in-sita upper slab so to a load-bearing space structure, improved mechanical property, raise integrity and anti-shock property, decrease structural wt. lower cost and make construction be convenient.

A method for stimulating a particular area of a brain using a stimulation device includes detecting a spatial structure of a head and determining electrical and / or magnetic properties of at least one part of anatomical structures of the head. An energy amount to be provided by the stimulation device for stimulating the particular area of the brain is calculated automatically based on the spatial structure of the head and the determined electrical and / or magnetic properties of at least one part of the anatomical structures of the head.

The invention relates to a method for stimulating specific areas of a brain using an induction device, comprising the following steps: recording the spatial structure of the head, in particular the brain; generating a simulation model of the induction device; and arranging the induction device relative to the head such that a specific area of the brain determined by means of the simulation model of the induction device is stimulated by a current flowing in the induction device, as well as to a method for stimulating specific areas of a brain using an induction device, comprising the following steps: recording the spatial structure of the head, in particular the brain; generating a simulation model of the head; and arranging the induction device relative to the head such that a specific area of the brain determined by means of the simulation model of the head is stimulated by a current flowing in the induction device, as well as to a device for stimulating specific areas of a brain using an induction device connected to a marker.

The invention relates to a precast hollow floor board with spatial structure and its application. The floor board includes hollow form and cavity, and features including structural bottom slab and structural sub-rib. The structural bottom slab and structural sub ribs contain reinforcing bars or wire mesh to form an integrated load-bearing member with an inverted T-shape. There are exposed bars ormesh on the structural bottom slab. The thicknesses of structure bottom slab and structural sub-rib are larger than the thickness of hollow form whose upper part and side parts are connected to the structural sub-rib, and lower part is connected to the structural bottom slab so as to form a closed integral body. The invented precast hollow floor board possesses advantages of simple structure, high strength, easy for handlings, good shock resistance and reduced structural dead wt..

A method and an apparatus for noninvasively and quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object, including fruit or produce, uses spatial-frequency-domain imaging (SFDI). A single modulated imaging platform is employed. It includes a broadband light source, a digital micromirror optically coupled to the light source to control a modulated light pattern directed onto the food object at a plurality of selected spatial frequencies, a multispectral camera for taking a spectral image of a reflected modulated light pattern from the food object, a spectrally variable filter optically coupled between the food object and the multispectral camera to select a discrete number of wavelengths for image capture, and a computer coupled to the digital micromirror, camera and variable filter to enable acquisition of the reflected modulated light pattern at the selected spatial frequencies.

A building roof with space structure is coposed of molded waffle members consisting of molded waffle and bottom plate, in-situ cast primary reinforced concrete rib, and in-situ cast reinforced concrete top plate. A prefabricated structured bottom plate has at least 2 molded waffle cavities and at least one in-situ cast secondary reinforced concrete rib. The said primary and secondary ribs constitute a hidden dense rib structure. Its advantages include high anti-earhquake performance and less thickenss, high strength.

The disclosed terrain model is a generative, probabilistic approach to modeling terrain that exploits the 3D spatial structure inherent in outdoor domains and an array of noisy but abundant sensor data to simultaneously estimate ground height, vegetation height and classify obstacles and other areas of interest, even in dense non-penetrable vegetation. Joint inference of ground height, class height and class identity over the whole model results in more accurate estimation of each quantity. Vertical spatial constraints are imposed on voxels within a column via a hidden semi-Markov model. Horizontal spatial constraints are enforced on neighboring columns of voxels via two interacting Markov random fields and a latent variable. Because of the rules governing abstracts, this abstract should not be used to construe the claims.

The invention discloses a video content description method by means of space and time attention models. The global time structure in the video is captured by means of the time attention model, the space structure on each frame of picture is captured by the space attention model, and the method aims to realize that the video description model masters the main event in the video and enhances the identification capability of the local information. The method includes preprocessing the video format; establishing the time and space attention models; and training and testing the video description model. By means of the time attention model, the main time structure in the video can be maintained, and by means of the space attention model, some key areas in each frame of picture are focused in each frame of picture, so that the generated video description can capture some key buy easy neglected detailed information while mastering the main event in the video content.

The invention discloses a large-scale building information model and a three-dimensional digital city integration method, and belongs to the field of spatial information technology. Interactive construction is carried out on the building information model on the basis of construction drawings, then the building information model is converted into a building component information model through spatial and semantic information mapping, a building component information base is established, and integrated application of building component information is carried out in three-dimensional digital city scenes. A large-scale indoor spatial structure data source is provided for a three-dimensional digital city, and the utilization rate of data is improved; internal spatial structures of buildings and external environments are displayed integrally. The building component information model with consistent semantic and spatial information is established, various sensors in the buildings can be integrated, and useful supports are provided for smart city application.

A method of noncontact imaging for performing qualitative and quantitative analysis of wounds includes the step of performing structured illumination of surface and subsurface tissue by both diffuse optical tomography and rapid, wide-field quantitative mapping of tissue optical properties within a single measurement platform. Structured illumination of a skin flap is performed to monitor a burn wound, a diabetic ulcer, a decubitis ulcer, a peripheral vascular disease, a skin graft, and / or tissue response to photomodulation. Quantitative imaging of optical properties is performed of superficial (0-5 mm depth) tissues in vivo. The step of quantitative imaging of optical properties of superficial (0-5 mm depth) tissues in vivo comprises pixel-by-pixel demodulating and diffusion-model fitting or model-based analysis of spatial frequency data to extract the local absorption and reduced scattering optical coefficients.

An exemplary methodology, procedure, system, method and computer-accessible medium can be provided for receiving physiological data for the subject, extracting one or more patterns of features from the physiological data, and classifying the at least one state of the subject using a spatial structure and a temporal structure of the one or more patterns of features, wherein at least one of the at least one state is an ictal state.

Extracting features from signals for use in classification, retrieval, or identification of data represented by those signals uses a “Distortion Discriminant Analysis” (DDA) of a set of training signals to define parameters of a signal feature extractor. The signal feature extractor takes signals having one or more dimensions with a temporal or spatial structure, applies an oriented principal component analysis (OPCA) to limited regions of the signal, aggregates the output of multiple OPCAs that are spatially or temporally adjacent, and applies OPCA to the aggregate. The steps of aggregating adjacent OPCA outputs and applying OPCA to the aggregated values are performed one or more times for extracting low-dimensional noise-robust features from signals, including audio signals, images, video data, or any other time or frequency domain signal. Such extracted features are useful for many tasks, including automatic authentication or identification of particular signals, or particular elements within such signals.

The invention discloses a method, a device and a system for addressing a multi-dimensional address. The invention comprises that through establishing a standard of format, grammar and type of the multi-dimensional address data, an effective multi-dimensional address format, which is generated by a first resource, can be output, input, processed and stored by the first and the second resources. The invention also comprises that the multi-dimensional address is defined by a binary digit series identifier, and the length of the binary digit series identifier is an arbitrary digit number from 1 bit to 1536 bit. An information dimension part is included in the multi-dimensional address through the bit segment division; the invention comprises that the object and attribute data is constructed through the bit, the bit segment and the data in the information dimension part; a virtual space structural part is also included in the multi-dimensional address; the invention comprises that the space structure and relation data of the object and attribute data is constructed through the bit, and the bit segment and the data in the virtual space structural part. The invention also comprises that each bit segment is seperated by a symbol; each bit segment carries out an automatic conversion of carry counting system; a leading zero of each bit segment is compressed; and the zero of an all -zerocontinuous bit segment in the multi-dimensional address carries out zero compression.

Illumination with a pattern of light allows for subsurface imaging of a turbid medium or tissue, and for the determination of the optical properties over a large area. Both the average and the spatial variation of the optical properties can be noninvasively determined. Contact with the sample or scanning is not required but may be desired. Subsurface imaging is performed by filtering the spectrum of the illumination in the Fourier domain but other filtering approaches, such as wavelet transform, principle component filter, etc may be viable as well. The depth sensitivity is optimized by changing the spatial frequency of illumination. A quantitative analysis of the average optical properties and the spatial variation of the optical properties is obtained. The optical properties, i.e. reduced scattering and absorption coefficients are determined from the modulated transfer function, MTF.

A 2D or 3D velocity field is reconstructed from a cross-correlation analysis of image pairs of a sample, without first reconstructing images of the sample spatial structure. The method can be implemented via computer tomographic x-ray particle image velocimetry, using multiple projection angles, with phase contrast images forming dynamic speckle patterns. Estimated cross-correlations may be generated via convolution of a measured autocorrelation function with a velocity probability density function, and the velocity coefficients iteratively optimised to minimise the error between the estimated cross-correlations and the measured cross-correlations. The method may be applied to measure blood flow, and the motion of tissue and organs such as heart and lungs.

The invention provides a high-speed detection system and method of tunnel defects. The system comprises a master control unit, a linear laser, an area array charge coupled device (CCD) camera, an image compression unit, a displacement sensor, a synchronous controller, an image storage unit, a storage module, a correction module and an inertial navigator. A special measurement locomotive serves as a mobile monitoring platform for the design and is particularly suitable for subway tunnel monitoring, and subway and other tunnel space structures can be effectively, rapidly and dynamically measured; the actually measured data is compared with actual real distance, errors are analyzed, the parameter setting is adjusted, and the measurement accuracy is greatly improved; moreover, the XYZ axial vibration of the mobile monitoring platform is subjected to error correction through the inertial navigator, and a measurement error is prevented from being introduced into mobile measurement.

The invention relates to a material and a method for manufacturing a carbonate cave oil reservoir physical model. The material is characterized by comprising a manufacturing main body material for cracks and caves in the physical model and a physical model skeleton material, wherein the manufacturing main body material for cracks and caves in the physical model is selected from wood's alloy and / or paraffin. The method comprises the following steps of: 1) manufacturing models of caves and cracks of different sizes and shapes by using the wood's alloy and / or the paraffin; and 2) after the models are formed, displacing the wood's alloy and / or the paraffin at the temperature of higher than 85 DEG C to obtain a crack cave with spatial structure. The manufactured physical model accords with the characteristics of carbonate cave oil reservoir and supplies reliable guarantee for developing various physical simulation experiments.

The invention discloses a solid state disk and a data read-write method. The solid state disk comprises a memory unit, a write-in control unit and a read control unit, wherein the memory unit comprises an original data region and a backup data region, which have identical memory space structure, and the memory space address of the original data region corresponds to that of the backup data region one by one; the write-in control unit is used for simultaneously writing the data into the original data region and the backup data region of the memory unit according to the data write-in command; and the read control unit is used for reading the data from the original data region of the memory unit according to the data reading command, and when the read error happens, the data is read from the backup data region of the memory unit according to the correspondence of the memory space address. With the above technical scheme, the properties of the solid state disk flash memory chip is used for performing the identical write-in operation for different memory regions of the same hard disk, so the reliability of the data is improved under the condition that the performance of the hard disk is not influenced.

The invention discloses a preparation method of a super nanostructure material formed by quantum dots self-assembly. That the alcohols are used as solvent to prepare nano-metal oxides and sulphides or metal oxides and sulphides are reduced to get nano-metal is a widely used method. The super nanostructure material formed by the quantum dots self-assembly draws much attention because of the superior comprehensive properties. The application prospect is wide enough. The invention adopts a method of using the alcohols as the solvent that a super nanostructure with different appearances and is formed by the quantum dots self-assembly which is obtained by changing the condition under the existence condition of surfactant. According to the invention, precursor, namely organic metal compound is dissolved in the alcohol solvent by ultrasonic, stirring and being laid down quietly. Under the effect of the surfactant, the precursor has a nucleation and grows into a plurality of quantum dots, the size of which is similar to nano. Then the dots form a super nanostructure which has a certain shape or space structure along the defined growing direction of the surfactant.

The method of complicated tubular netted tissue engineering rack forming technology based on core dissolving technique belongs to the field of tissue engineering rack manufacturing technology. The technological process includes first designing 3D model of rack and rack core; making rack core with water soluble material without biotoxicity through fast laminated formation; compounding solution of biocompatible material with proper amount of pore creating agent and coating the solution onto the rack core; air drying, soaking in distilled water to dissolve out rack core and pore creating agent, taking out and volatilizing water and coating different forming material with or without pore creating agent successively to form the tubular netted rack with complicated spatial structure, different material gradient and different pore gradient.

The invention discloses a target space knowledge and two-stage prediction learning-based target detection method. By utilizing various data conversion methods, a sample number is increased and samplediversity is improved; two deep neural networks including SSD and newly designed RefineNet are trained; for a prediction target with a relatively high probability in a primary prediction result of theSSD, the accuracy of judgment is further improved through the RefineNet; and by establishing peculiar spatial structure constraint rules of the target, the wrong prediction is reduced, thereby obtaining a final detection result. Compared with a few existing methods, the method provided by the invention has the advantages that visual and spatial characteristics of a remote sensing target are considered at the same time; and end-to-end target candidate selection, feature extraction and classified locating are realized by utilizing the deep networks with excellent feature extraction capabilities, so that the detection rate of the remote sensing target is remarkably increased and the false alarm rate is reduced.

The present application relates to a method and a device for parsing a table in a document image. The method comprises the following steps: inputting a document image to be parsed which includes one or more table areas into the electronic device; detecting, by the electronic device, a table area in the document image by using a pre-trained table detection model; detecting, by the electronic device, internal text blocks included in the table area by using a pre-trained text detection model; determining, by the electronic device, a space structure of the table; and performing text recognition on a text block in each cell according to the space structure of the table, so as to obtain editable structured data by parsing. The method and the device of the present application can be applied to various tables such as line-including tables or line-excluding tables or black-and-white tables.

The invention belongs to the technical fields of mode indentifying and image processing, and relates to an image matching method based on characteristic points. The image matching method based on characteristic points defines an annular corner code model according to the K neighboring structure of the characteristic points and applies the model to point mode matching. Similar annular corner codes not only describe the similarity of the space structures of two characteristic points, but also can be used for local mapping estimation. The similarity of the two characteristic points is confirmed by the similar length of the largest similar annular corner codes associated with the two characteristic points. The image matching method based on characteristic points carries out structure matching according to the similarity of the local space structures of the characteristic points, and uses the local mapping and clustering to carry out optimization matching. The optimization matching result is used for optimizing the mapping estimation. The method can be used for the image matching based on the characteristic points, image jointing and embedding, motion tracing, information fusion of medical single-mode and multi-mode images, as well as image searching based on contents.

The invention belongs to the fiber sensing technical field, and specifically relates to a multi-core fiber bragg grating (FBG) universal bending sensor; the multi-core fiber bragg grating (FBG) universal bending sensor is suitable for smart material and structure on-line detection and analysis, can control and monitor space structure space three dimensional positions and attitudes, and is formed by using the multi-core fiber bragg grating (FBG) as the basic sensing unit; the multi-core fiber bragg grating (FBG) universal bending sensor comprises multi-core fibers including one center fiber core, and the resting fiber cores are arranged around the center fiber core in quadrature distribution or symmetrical distribution; each fiber core in the same transverse position of the multi-core fiber uses the same phase mask slice to simultaneously expose the FBG; the central wavelengths of various Bragg gratings on the multi-core fiber are different; the multi-core fiber bragg grating (FBG) universal bending sensor can monitor various reflection wavelength changes of the multi-core FBG, thus measuring the bending amplitude and direction angles.

The invention discloses a non-linear structure light illumination microscopic imaging method which comprises the following steps: 1) loading a computed hologram on a digital microscopic array; 2) generating a first spatial structure light field which meets sine distribution and is used for activating fluorescent protein, and radiating the first spatial structure light field to the surface of a sample, so as to convert a part of protein to be in an illuminated state from a dark state; 3) radiating the sample in a second spatial structure light field so as to enable fluorescent protein in the bright state to emit fluorescent light, collecting the fluorescent light, and imaging in a photoelectric detector; 4) repeating the step 2) and the step 3), acquiring a plurality of spatial frequencies, acquiring a plurality of initial phases in each direction to obtain a plurality of original images, and reestablishing a super-resolution image according to a GPU acceleration algorithm. The invention further discloses a non-linear structure light illumination microscopic imaging system. The non-linear structure light illumination microscopic imaging method has the advantages of relatively high system imaging resolution, high fluorescent drifting resistance, low phototoxicity and rapid imaging.

Frequent monitoring of early-stage burns is necessary for deciding optimal treatment and management. Superficial-partial thickness and deep-partial thickness burns, while visually similar, differ dramatically in terms of clinical treatment and are known to progress in severity over time. The disclosed method uses spatial frequency domain imaging (SFDI) far noninvasively mapping quantitative changes in chromophore and optical properties that may be an indicative of burn wound severity. A controlled protocol of graded burn severity is developed and applied to 17 rats. SFDI data is acquired at multiple near-infrared wavelengths over a course of 3 h. Burn severity is verified using hematoxylin and eosin histology. Changes in water concentration (edema), deoxygenated hemoglobin concentration, and optical scattering (tissue denaturation) are statistically significant measures, which are used to differentiate superficial partial-thickness burns from deep-partial thickness burns.

A minimally invasive endoscopic surgical procedure or an endoscopic surgical procedure through natural orifices which includes: introducing a spacial structure in a shrunken state into a body cavity by a spacial structure introduction portion; enlarging the spacial structure in the body cavity; setting the enlarged spacial structure in a predetermined position in the body cavity and supporting the tissues inside of the body cavity with the set spacial structure; inserting a distal end of at least an endoscope or a treatment instrument from at least a part of an opening portion of the spacial structure, and orienting the distal end to a pathological lesion located on the inner side of the tissues inside of the body cavity which is supported by the spacial structure.