162 results about "Distance space" patented technology

An improved E-field generator including a slow-wave transmission line structure is provided herein. In some cases, the improved E-field generator may include an inductively-loaded slow-wave transmission line structure driven by a power source at one end of the structure and terminated by a load at the other end of the structure. In other cases, the improved E-field generator may include a capacitively-loaded slow-wave transmission line structure. In either case, the improved E-field generator provides a frequency-independent, significantly increased electric field at a distance spaced from the generator without altering the dimensions of the generator and/or the input power supplied to the generator. The increase in generated field intensity is achieved by decreasing the phase velocity of the electromagnetic wave propagating along the parallel elements of the generator.

A method of clustering communication nodes based on network attributes such as network delays and forwarding capacity; on communication interest attributes; and on application attributes such as quality of service preferences/constraints (e.g. end-to-end delay constraints, bandwidth constraints) in providing communications between users and application servers. A multi-attribute communication feature vector is formed. That vector is comprised of network attributes (such as available bandwidth, client location attributes in the IP map), communication interests attributes (client request for content updates, client subscription to specific data items or to a set of proximal data sources in network space or application/virtual space) and quality of service requirements (such as delay and loss constraints is used to from efficient group communication mechanisms for distributed collaborative applications. Then the multi-attribute communication feature vectors are clustered. The clustering methods for multi-type attribute feature vectors are: iterative clustering using a generalized distance space with normalized attribute subspace metrics; fusion clustering, and nested clustering.

Similarity searching techniques are provided. In one aspect, a method for use in finding near-neighbors in a set of objects comprises the following steps. Subspace pattern similarities that the objects in the set exhibit in multi-dimensional spaces are identified. Subspace correlations are defined between two or more of the objects in the set based on the identified subspace pattern similarities for use in identifying near-neighbor objects. A pattern distance index may be created. A method of performing a near-neighbor search of one or more query objects against a set of objects is also provided.

Abstract: A dual rotor type motor of the present invention is disclosed. The dual rotor type motor according to the present invention includes a shaft rotatably provided in a motor securing part; a rotor assembly rotated with a center thereof fastened to the shaft, the rotor assembly comprising an outer rotor spaced apart at a predetermined distance from the center of the shaft with magnets secured along a circumferential direction, and an inner rotor provided in an inside of the outer rotor at a predetermined distance spaced apart with magnets secured along a circumferential direction; and a stator comprising a core made of metal, an insulator of an insulating material for surrounding the core so as to have a first and second surface of the core facing each other to be exposed outside, a coil wound on the outer surface of the insulator, a molding part of insulating material for surrounding the insulator and the coil by insert molding as one body to expose the first and second surface of the core in a state of the insulator being provided in a circular shape and a fixing part for securing the molding part to the motor securing part, and the stator provided between the outer rotor and the inner rotor for having the exposed first and second surface of the core to face each other at a predetermined distance with the magnet of the outer and inner rotor.

A defect inspection apparatus includes: stages each mounting an inspecting object on which a circuit pattern having a group of parallel lines is formed, and each running perpendicular or parallel to the group of lines; an illumination optical system which illuminating a surface of the inspecting object with a slit beam being slit light so that a longitudinal direction of the slit beam is substantially perpendicular to the running directions of the stages, and which has a first inclined angle formed by the direction of the group of lines and a projection line, of an optical axis of the slit beam, to the inspecting object; a spatial filter that shields or transmits reflected and scattered light of the inspecting object according to a difference in distribution of orientation; and a detection optical system that detects the reflected and scattered light transmitted through the spatial filter by image sensors. Moreover, the illumination optical system illuminates the inspecting object with another slit beam from a direction opposite to an incident direction of the slit beam on a plane.

A particle-optical apparatus is provided for directing a beam of charged particles on an object plane or to image the object plane with the beam onto an image plane or intermediate image plane. The apparatus comprises a stack of lens assemblies which are disposed in beam direction at a fixed distances spaced apart from which other and are controllable for providing successively adjustable deflection fields for a beam traversing the stack. Each lens assembly provides at least one field source member for a magnetic or electric field. In particular, two rows of a plurality of field source members per lens assembly can be provided.

The invention relates to a long-distance non-contact luggage volume detection system and a method thereof. The system and the method are used to perform long-distance non-contact hard and soft luggage volume detection in airports, train stations or other scenes. The system comprises a luggage object image acquiring and processing module, a luggage object 3D spatial dimension reconstruction module, a volume calculation module, a luggage placing position prompt module, a feedback module, a camera, and a central processor. The technical problems to be solved in the invention include: automatically identifying a luggage in a detection area under a long-distance space environment; processing the surface geometric characteristics of the luggage after claiming; building a 3D space model; judging whether the luggage is soft or hard; calculating the volume using different algorithms; and feeding the volume detection result and suggestion back to a user through a multi-channel interaction technology. The invention provides a convenient and quick luggage volume self-detection method for passengers, and inconvenience brought by an oversized luggage is avoided.

An inkjet type fabric printing apparatus is provided with an inkjet head, a platen and a positioning member. The inkjet head reciprocally moves in main scanning direction and auxiliary scanning direction relative to a fabric (e.g., clothes). The platen holds the fabric to extend on a plane parallel with the main scanning direction and the auxiliary scanning direction with a first predetermined distance spaced from the inkjet head. On the positioning member, the fabric is set. The fabric is positioned on the platen in place in a direction parallel with the main scanning direction and the auxiliary scanning direction. The positioning member supports at least one of a neck portion and a shoulder portion of the fabric such that the neck portion and/or a shoulder portion is spaced from the inkjet head by a second predetermined distance.

The invention discloses an airborne radar clutter self-adaption restraining method based on main-lobe clutter registering. The STAP clutter restraining method based on efficient and self-adaption main-lobe clutter registering is researched according to the airborne non-side-looking array radar clutter distance space-variant characteristic. In order to reduce the operand, firstly, the main-lobe clutter Doppler frequency is accurately estimated according to a cascading method, then the space angular frequency of the main-lobe clutter is estimated through a sparse reconstruction technology, two-dimensional registering is carried out on main-lobe clutters of different distance units, and finally the clutter restraining is carried out through a dimensionality reduction STAP algorithm. A simulation experiment result shows that after the main-lobe clutter registering, the dimensionality reduction STAP improvement factor is improved by about 18 dB on the main-lobe clutter area, and the detection performance on slow moving targets is improved significantly. The method is small in operand and easy to implement.

The invention relates to a high-resolution remote sensing image segmentation method based on texture clustering constraint in the field of remote sensing technology, which comprises the concrete steps of: step 1, calculating Gabor energy textures of all regions in an image, carrying out clustering of all the regions by using FCM according to texture distance, and setting a texture clustering tag for each region according to clustering results; step 2, setting up a comprehensive distance space model by using features such as spectrum, texture, shape and the like, and adding texture clustering distance to restrict and lead region merging to be performed along the homogeneous texture direction; and step 3, setting up an RAG model and an NNG model according to the comprehensive distance, and merging the regions according to global optimum. The real regional boundary is obtained by the interaction of the texture clustering and optimal merging sequence during the merging. The method can better segment the texture region in the high-resolution image and improve the overall segmentation accuracy of the image.

The invention provides a method for identifying a long-distance space motion target based on stellar map matching. The method comprises the following steps: extracting coordinates of image points of all original images photographed by a visible light camera of a miniature space detector; composing the arranged image points into triangles in a combination mode; reading a star catalogue in the memory of the visible light camera of the miniature space detector, and identifying all triangles formed by the image points by adopting a triangle identification algorithm; and deleting all the identified image points, and remaining the unidentified image points which are image points of the motion target. In the method, the characteristics of relative motion of the visible light camera of the miniature space detector and the motion target is not required to know in advance, the image points of a fixed star are deleted by adopting a star catalogue identification method, and the star catalogue contains all fixed stars in the starry sky, so that the image points of the target can be effectively acquired by adopting the method, and the star catalogue identification method has the advantage of higher interference resistance.

The invention discloses a bistatic forward-looking SAR (Synthetic Aperture Radar) motion compensation method. Azimuth-slow time decoupling operation is adopted, and different azimuth point targets in the same distance unit are separated and processed. The method mainly comprises steps of: (1) space-invariant motion error compensation; (2) distance focus processing; (3) distance space-variant motion error compensation; (4) azimuth space-variant motion error compensation; and (5) azimuth compression. The problem that the traditional SAR motion compensation method and the existing bistatic SAR motion compensation method are hard to correct motion error azimuth space variance can be overcome. The motion error azimuth space variance can be effectively removed, and precise compensation and focusing of the bistatic forward-looking SAR can be realized.

The invention relates to a composition of a mobile phone face-scanning payment system in the field of image processing. The composition of the mobile phone face-scanning payment system is characterized in that in a payment and paid information interaction step, a mobile phone receives payment information from a POS machine or a network through wireless Wi-Fi or a network, and automatically sends paid information; in a card holder face image taking step, the mobile phone or the camera of the POS machine takes out the face image of the card holder; in a face-scanning payment code generation step, the five-organ position information in stochastic distribution of the face-scanning image is converted into an adaptive feature vector of a probability measure distance space, the adaptive feature vector is numerically processed through a membership function according to a method of human intervention, and then, a face-scanning payment code is obtained through an adaptive feature vector learning method; and in a code authentication and payment operation step, the face-scanning payment code is sent to a network server of a bank to carry out face-scanning payment code authentication and payment. With the system, a very stable face-scanning payment code can be obtained in a complex shooting environment of a mobile phone.

The invention belongs to the perovskite photoelectric material and device technology field and particularly relates to a perovskite film preparation method and the application. The perovskite film preparation method comprises steps that, a lead source and an amine salt are respectively dissolved in an organic solvent to acquire a lead source precursor solution and an amine salt precursor solution; the two precursor solutions are respectively coated on two foundations in a spin coating mode, the solvent is removed through heating, and uniform films are acquired; the two films are oppositely pasted and are separated through a pad in the middle to form a close distance space, through vacuum heating, the amine salt sublimates, the sublimated amine salt and the lead source react to acquire the perovskite film. The perovskite film prepared through the method has better morphology, the method is suitable for preparing large-area photoelectric devices, and performance and experiment batch repeatability of devices can be remarkably improved when the method is applied to the devices.

The invention discloses a distance space reconstruction method based on deep learning and monocular vision. The distance space reconstruction method includes the steps of calibrating image acquired animage acquisition module, marking the target contour, the type, the target inclination angle and the target distance of the images, combining the labeling data into multi-dimensional vector arrays toserve as sample training labels; taking the sample training labels as the input of a deep neural network, training the deep neural network, reconstructing a spatial structure through the deep neuralnetwork, and estimating the target distance estimation through target recognition, frame regression and spatial structure regression. By means of the powerful nonlinear fitting function of deep learning, the distance space information of all the samples is synthesized, distance estimation is performed globally, and accuracy is greatly improved.

The invention provides an access control method. The method includes the step of controlling an intelligent device requesting for access to be connected to a home network after a voice message sent by a user in preset distance space of an HCC device is collected and when the voice message meets a preset access condition. The voice message of the user is used as a basis to determine the access of the intelligent device to the home network, the fact that whether the user makes the voice is the user having the home network management capability according to the voice message due to the special nature of voice messages, the intelligent device requesting for access the home network is controlled to access the home network, and the access of the intelligent device is under the control of the user having the home network management capability, so that the data security of the home network is ensured. The user is required to make voice in the preset distance space of the HCC device due to the voice message collection characteristics, and the situation that the user is in the vicinity of the HCC device to control the access of the intelligent device to the HCC device is ensured, so that the real-time performance of the access control on the intelligent device is improved.

The invention discloses a monitoring apparatus of a nearby environment of a power transmission line. The monitoring apparatus is characterized in that the monitoring apparatus is constructed in such a way that a shooting probe and a multispectral infrared radar are respectively accessed to a monitoring host, and the monitoring host, after filtering a high-temperature infrared radiation source and the narrow waveband of background radiation, determines the existence of a forest fire in a surrounding environment through image analyzing; the monitoring host is connected with an air suction pipe through a cloud chamber, performs humidifying heating sampling on surrounding air, counts the quantity of drops in a unit area and gives an early warning when the quantity exceeds a preset threshold value; and the monitoring host is simultaneously connected with a light sensor for measuring a quartz rod in the atmosphere and measuring loss of luminous energy, and calculates salt deposit density. According to the invention, a potential mountain fire hidden risk and an existing mountain fire condition around the power transmission line are predicted in advance, through capturing near-distance space fire information of the power transmission line, a first point is timely discovered, power is actively cut off for avoiding a fire, and tripping events due to the mountain fire can be reduced.

The invention discloses an anti-main lobe deception jamming method for a waveform diversity array radar, and mainly solves the problem that an existing radar has difficulty in suppressing main lobe deception jamming. According to the technical scheme, a waveform diversity array emits a stepped-frequency signal; after received echo data is subjected to filter matching, distance space-varying compensation is conducted in a transmitting-receiving two-dimensional domain; based on the subspace projection technology, a main lobe direction subspace is constructed and received, an echo signal power in the main lobe direction is obtained, and a power detection method is used for interference sample selection; according to a selected training sample, the adaptive or non-adaptive beamforming technology is used for calculating the beamforming weight, the weight is used for filter matching of the compensated echo data in the transmitting-receiving two-dimensional domain, and inhibition of main lobe deception jamming can be achieved. The method reduces the system complexity, saves platform resources, improves the estimation performance of an interference covariance matrix, improves the anti-jamming ability of the monostatic radar, and can be used in electronic countermeasure jamming.

The invention discloses a spaceborne sliding spotlight SAR (Synthetic Aperture Radar) satellite attitude and PRF (Pulse Repetition Frequency) sequence design method, which solves the problems of irradiation scene bending, obvious space variation of the azimuth resolution and the failing of an echo into a blind area of the spaceborne sliding spotlight SAR. The implementation comprises the steps ofcalculating the initial data acquisition time; determining the satellite attitude angle according to the beam pointing and the minimum constrained Doppler center frequency distance space variation; determining the final data acquisition time; and dividing the data acquisition time into multiple bursts, wherein each burst adopts a different PRF so as to complete PRF sequence design. According to the invention, the control for the roll angle is increased so as to avoid the irradiation scene bending; the focus center position changes, so that the space variation of the azimuth resolution is reduced; and the PRF changes, so that the echo is avoided from falling into the blind area. The method disclosed by the invention is free of irradiation scene bending, reduced in space variation of the azimuth resolution and capable of enabling the echo to be completely falling into a receiving window. The method is used for system parameter design of the spaceborne sliding spotlight SAR, and achievesthe purposes of being free of irradiation scene bending and acquiring the complete echo.

The invention discloses a remote identity authentication method based on single training sample face recognition. A sub-feature measuring module is constructed by a moderate face sub-feature training sample, a P-dimensional sample data vector v is further generated, and a training result data set is formed by a machine learning algorithm. In a step 6), a certain picture of a single training sample is judged and an input picture to be recognized is recognized according to the machine learning algorithm and the training result data set, so that recognition rate is greatly increased, and a single training sample face recognition method has an industrial application prospect. In the step 6), the difference between sub-features refers to the distance between two sub-feature vectors in a distance space in topology meaning in general.