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205 results about "Source field" patented technology

In theoretical physics, a source field is a field J whose multiple Sₛₒᵤᵣcₑ=JΦ appears in the action, multiplied by the original field Φ. Consequently, the source field appears on the right-hand side of the equations of motion (usually second-order partial differential equations) for Φ. When the field Φ is the electromagnetic potential or the metric tensor, the source field is the electric current or the stress–energy tensor, respectively.

Method and device for locating magnetic implant source field

An apparatus and method for locating a magnetic implant in a surgical application using the field of a source magnet for the implant guiding field. The source magnet is an electromagnet having a separate calibrated magnetic field component in addition to the guiding field, so that both the magnitude and orientation of the magnetic field as a function of position around the magnet are known. A magnetic implant is provided with a sensor, such as a three-axis Hall effect sensor, to provide an indication of the magnitude and orientation of an applied magnetic field when the implant is surgically implanted in a patient. After implantation, the source magnet is energized with a current having a modulated component. The modulated component is received and filtered from the signal received from the Hall effect sensor in the implant, and provided to a processor that computes the location of the implant relative to the electromagnet based upon the detected magnitude and orientation of the modulated component of the magnetic field, and the location and orientation of the electromagnet. Localizers may be used to supply the relative locations of the patient and the electromagnet to the processor. A display may be provided to display a representation of the location of the implant in the patient, which may also be superimposed over a preoperative image of the patient.
Owner:RITTER ROGERS C +3

Method and device for determining data consanguinity based on structural data

The present invention provides a method and device for determining data consanguinity based on structural data. The method comprises: parsing a selection statement to obtain a source abstract syntax tree, and organizing the table information and the field information obtained by traversing the source abstract syntax tree into a source list layer by layer; obtaining the target abstract syntax treeby parsing the insertion statement, and organizing the table information and the field information obtained by traversing the target abstract syntax tree into the target list layer by layer; traversing the source manifest to obtain the source table information and traversing the target manifest to obtain the target table information to obtain the table granularity data kinship relationship; extracting the target field information for the target table from the target manifest, starting from the first layer of the source manifest, finding the source field in the source table with the same name as the target field information of the target table layer by layer, and when the source table to which the source field belongs no longer comes from the subquery, determining the corresponding source field to be the source field with blood relationship corresponding to the target field information. The scheme can parse the field-level granularity of data consanguinity based on structured data.
Owner:RAJAX NETWORK &TECHNOLOGY (SHANGHAI) CO LTD

Method for establishing large-scale cross-field text emotion orientation analysis framework

ActiveCN106096004AImprove robustnessSolve the problem of being stuck in a local optimumData miningSpecial data processing applicationsLocal optimumAlgorithm
The invention discloses a method for establishing a large-scale cross-field text emotion orientation analysis framework. The method comprises the steps that precise word segmentation is carried out on sample documents in a source field and sample documents in a target field to form two word vector tables; word vectors are clustered, and the fields are aligned; primary sentence modeling is carried out on calibration samples in the source field through the word vectors and serves as input of DCELM, and interlayer abstraction features of text vectors are extracted through convolution operation; convolution layer parameters obtained when the classification effect of a verification set is best are recorded and serve as parameters of a DCELM network convolution layer; finally, interlayer abstraction features of calibration samples, extracted through DCNN, of a small number of target fields are used for training implicit layer parameters of a classifier ELM to establish the large-scale cross-field text emotion orientation analysis framework. By means of the technical scheme, the difference of words for expressing emotion polarities among the fields is eliminated on the sample layer, the defects that on a full-connection layer, local optimization is easily caused and the generalization ability is weak are effectively solved, and the anti-interference performance of a model is improved.
Owner:河北广潮科技有限公司

Semiconductor device and manufacturing method thereof

ActiveCN103367403AIncreasing the thicknessReduces the effect of modulating the electric field distributionSemiconductor/solid-state device manufacturingSemiconductor devicesCapacitanceSource field
The invention discloses a semiconductor device and a manufacturing method thereof. The device comprises a substrate, a multi-layer semiconductor layer positioned on the substrate, a source electrode and a drain electrode positioned on the multi-layer semiconductor layer, a grid electrode positioned between the source electrode and the drain electrode, as well as a dielectric layer positioned on at least one part of the surface of the multi-layer semiconductor layer arranged between the grid electrode and the drain electrode and a source field plate positioned on the dielectric layer, wherein a groove is formed in the dielectric layer, the source field plate is electrically connected to the source electrode through at least one conductive path, and the source field plate completely or partially covers the groove in the dielectric layer. The semiconductor device and the manufacturing method thereof provided by the invention have the advantages that the source field plate is given a full play, grid source capacitance Cgs is reduced, a peak value electric field at the edge of the grid electrode is reduced, the breakdown voltage of the device is improved, the grid leakage current of the device is reduced, the frequency characteristic of the device is improved, and the advantage of the high output power of the device is fully played.
Owner:DYNAX SEMICON

Self-compensating magnetoelastic torque sensor system

An improved magnetic torque transducer arrangement for self-compensating effects of external magnetic sources and temperature offset comprises a shaft with at least one magnetized zone, at least one active magnetic field sensor and at least one passive magnetic field sensor disposed in such a way that active field sensor always in a position with higher magnetic field strength arise from applied torque than that of passive sensor. Passive field sensors may also be placed in both sides of the active field sensor, or on one side of active field sensor only. The transducer output is obtained by subtract the output of passive field sensors from that of active field sensor thus cancel out the effect of interfering magnetic field flux and temperature offset on the torque transducer, and partially filter out temperature sensitivity drift and rotational dependant signal. The sensitivity of active and passive field sensors can also be electrically matched by calibrating them in a uniform magnetic field, thus a completely common mode rejection can be achieved. The sensor arrangements may also be utilized in other type of sensors that extract changes in magnetic fields to indirectly detect direction, speed, presence, force, linear position, or angle to cancel out interfering magnetic field and temperature offset effect.
Owner:WENG WENSHENG

Method for reducing dimensions of hyper-spectral data on basis of pairwise constraint discriminate analysis and non-negative sparse divergence

ActiveCN103544507AAvoid opt-inAchieve knowledge transferCharacter and pattern recognitionHyperspectral data classificationSource field
The invention discloses a method for reducing dimensions of hyper-spectral data on the basis of pairwise constraint discriminate analysis and non-negative sparse divergence, and belongs to methods for processing hyper-spectral remote sensing images. The method aims to solve the problem of deterioration of the classification performance of most advanced algorithms for classifying hyper-spectral data on the basis of machine learning when source hyper-spectral data and target hyper-spectral data are distributed differently. The method includes firstly, performing pairwise constraint discriminate analysis according to pairwise constraint samples; secondly, designing a non-negative sparse divergence criterion to create a bridge among source-field hyper-spectral data and target-field hyper-spectral data which are distributed differently; thirdly, combining the pairwise constraint discriminate analysis with the bridge to transfer knowledge from the source hyper-spectral data to the target hyper-spectral data. The pairwise constraint samples containing discriminate information can be automatically acquired. The method has the advantages that the knowledge can be transferred among the hyper-spectral data acquired at different moments, in different areas or by different sensors; the information of the source-field hyper-spectral data can be effectively utilized to analyze the target-field hyper-spectral data, and high integral classification precision and a high Kappa coefficient can be acquired.
Owner:CHINA UNIV OF MINING & TECH

Self-attention multi-core maximum mean difference-based transfer learning speech enhancement method

ActiveCN110111803AImprove feature effectivenessImprove robustnessSpeech analysisFloat ValueSelf attention
The invention discloses a self-attention multi-core maximum mean difference-based transfer learning speech enhancement method, which comprises the following steps: extracting GFCC features from original speech and using the GFCC features as input features of a deep neural network; calculating ideal floating value masking of Fourier transform domain by using noisy speech and clean speech information, and using the ideal floating value masking as the training target of the deep neural network; building a speech enhancement model based on deep neural network; building a self-attention multi-coremaximum mean difference-based transfer learning speech enhancement model; training the self-attention multi-core maximum mean difference-based transfer learning speech enhancement model; inputting frame-level features of the noisy speech in the target domain, and rebuilding enhanced speech waveform. By adding a self-attention algorithm to the front end of the multi-core maximum mean difference andby minimizing the multi-core maximum mean difference between features noticed by the source field and features noticed by the target domain, transfer learning of the unlabeled target domain is realized, and the speech enhancement performance is improved. The method of the invention has a good application prospect.
Owner:NANJING INST OF TECH

Large-scale dynamic evolution dust type aerosol retrieval method

The invention discloses a large-scale dynamic evolution dust type aerosol retrieval method. The large-scale dynamic evolution dust type aerosol retrieval method comprises step 1 training a classifier; acquiring a source field sample and a cloud layer sample of a dust type aerosol layer and a target field sample of the dust type aerosol layer according to passive type satellite sensor remote sensing data; acquiring characteristic vectors of the samples according to active type satellite sensor laser radar profile data; training a support vector machine classifier according to the characteristic vectors of the source field sample and the cloud layer sample; optimizing the classifier according to the characteristic vector of the target field sample and the transfer learning theory; step 2 performing retrieval on the dust type aerosol through an optimized classifier. The large-scale dynamic evolution dust type aerosol retrieval method can improve the cloud-sand classification accuracy after the dust is subjected to long-distance transmission, effectively reverse the situation that only low-accuracy data provided by NASA (National Aeronautic And Space Administration) can be used currently passively, solve the bottleneck problems that, in China, large-area dust vertical profile data is lost and the data usability is poor and the like and satisfy the observation requirement of dust aerosol source regions and diffusion transmission regions in China and even the globe.
Owner:WUHAN UNIV

Source field plate transistor with high electron mobility

The invention discloses a source field plate transistor with high electron mobility. The transistor comprises, from bottom to top, a substrate (1), a transition layer (2), a barrier layer (3), a source electrode (4), a drain electrode (5), a gate electrode (6), a passivation layer (7), a protection layer (10) and a source field plate (8); the source field plate (8) is electrically connected with the source electrode (4), wherein, n floating field plates (9) are deposited on the passivation layer (7) to increase the depletion region area of the barrier layer (n is not less than 1). The floating field plates and the source field plate are positioned on the same passivation layer, all the floating field plates have the same size and are mutually independent, and the distance between two adjacent floating field plates increases based on the number of the floating field plates arranged along the direction from the source field plate to the drain electrode. The n floating field plates are in a floating state and are completed together with the source field plate on the passivation layer by one-time process. The source field plate transistor has the advantages of simple process, good reliability and high breakdown voltage, and can be used for fabricating high power devices based on an III-V group compound semiconductor heterojunction structure.
Owner:云南凝慧电子科技有限公司

Interface conversion method, interface converter, storage medium and electronic terminal

Embodiments of the present invention disclose an interface conversion method, an interface converter, a storage medium, and an electronic terminal. The method comprises: obtaining a system source field set by a user based on a visual configuration interface; obtaining a matching relationship between a field in an interface document set by the user based on the visual configuration interface and the system source field, and generating an interface file based on the matching relationship; and when receiving a request field from a cooperating party, converting the request field into the system source field according to the interface file for the system to perform a request or response operation according to the business logic. By virtue of the technical scheme of the embodiments of the present invention, the cooperating party can be quickly connected without any modification to the code of the business system so as to realize the seamless connection with the cooperating party; and at the same time, the interface management of the cooperating party is carried out based on the visual configuration interface, the interface maintenance operation process is simplified, and the interface maintenance costs of multiple cooperation parties are reduced.
Owner:SHENZHEN LEXIN SOFTWARE TECH CO LTD
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