41results about How to "Avoid matching" patented technology

Disclosed is an impedance matching apparatus performing impedance matching between a front-end module and an antenna. The impedance matching apparatus includes an RF front end providing a multi-band RF signal, a reflected power measuring module measuring a reflection coefficient for the RF input signal, a matching unit adjusting impedance so that the reflection coefficient is minimized, a first switch module provided in the RF front end to selectively switch the RF signal onto a bypass path, and a controller allowing the RF signal to be switched onto the bypass path if a specific frequency range is detected from the reflection coefficient.

Based on generated tomographic images, a first feature quantity representative of a clearness of sectional shapes crossing the Z′ axis at the vertebrae is calculated for each of respective points on the Z′ axis. Further, based on the generated tomographic images, a second feature quantity representative of a clearness of sectional shapes parallel to the Z′ axis at the vertebrae is calculated for each of the respective points on the Z′ axis. A third feature quantity representative of a regularity of an array of the vertebrae is calculated for each of the respective points on the Z′ axis, based on the calculated first feature quantity and the calculated second feature quantity. Positions of the vertebrae on the Z′ axis are calculated based on the third feature quantity, which is calculated for each of respective points on the Z′ axis.

The invention relates to a branch artificial blood vessel bracket applied in surgery, which is provided with a terylene fabric blood vessel and a large bracket lined with a harder memory alloy wire; an artificial blood vessel of 1cm long without alloy wires is arranged at the near end and taken as a sewing ring; the branch artificial blood vessel bracket is characterized in that the near end of the large bracket is sewed by a small bracket; and the small bracket consists of the terylene fabric blood vessel and the lined soft memory alloy wire. The branch artificial blood vessel bracket creatively adds a branch bracket used for supporting the true lumen of left subclavian artery so as to keep smooth and complete left subclavian artery and the distal end of thoracic descending aorta, overcome the defects of the current surgery and avoid the coincidence of the left subclavian artery; and the distal end coincident hole is arranged between the innominate artery and the left common carotid artery, thus solving the most difficult point of the technique.

Embodiments of the invention provide an identity recognition system and method, and relate to the technical field of biological feature recognition. When to-be-recognized information is matched with biological feature samples in a database, the matching is performed by step; firstly, the database is subjected to primary screening by adopting a relatively low first preset matching degree as a matching threshold and a biological feature sample with relatively high matching degree is screened out through relatively low calculation amount; and secondly, the biological feature sample obtained by screening is subjected to more accurate matching by using a relatively high second matching degree as the matching threshold to obtain a recognition result. Therefore, the operation of matching the to-be-recognized information with the biological feature samples in the database one by one can be avoided, the calculation amount during recognition is reduced, the recognition speed is increased, and the recognition efficiency and accuracy are improved.

A three-dimensional shape data position matching method for measuring a static three-dimensional shape from a plurality of measuring positions, and for combining and position matching the distance data thereof, including: a data inputting step S1 for inputting, into a computer, coordinate values on a three-dimensional shape at a new measuring position; a model structuring step S4 for structuring an environment model that partitions a spatial region in which the three-dimensional shape exists, into a plurality of voxels formed from rectangular solids, of which the boundary surfaces are mutually perpendicular, and stores the positions of the individual voxels; a matching step S5 for setting and recording a representative point and an error distribution thereof, within the voxel corresponding to the coordinate value; a fine matching step S7 for position matching so as to minimize the summation of the distances between adjacent error distributions by rotating and translating a new measured data and error distribution, or rotating and translating an environment model for a new measuring position, relative to an environment model for a previous measuring position; and an outputting step for outputting, to an outputting device, the voxel position, the representative point, and the error distribution.

A method and an apparatus of the present invention is capable of matching an image of a printed matter with a desired image with high accuracy by adjusting tints even when tints change while printing. There are provided a measurement means that measures gray Lab values of a printed matter, a calculation means that calculates ΔL, Δa, and Δb that are differences between the measured Lab values and predetermined target gray Lab values, a first correction value calculation means that corrects Δa based on Δb, a second correction value calculation means that corrects ΔL based on a corrected value Δa1 that has been calculated by the first correction value calculation means, a halftone density difference calculation means that calculates halftone density differences of C, M, and Y based on Δb, Δa1 and ΔL1 obtained by correcting ΔL, an ink density difference conversion means that converts the calculated C, M, and Y halftone density differences into ink density differences, and an ink feed amount adjustment means that adjusts the ink feed amount for the ink fountain keys based on the ink density differences.

The invention discloses an LSTM-CNN-based word segmentation method. The method comprises the steps of converting training corpus data into character-level corpus data; performing statistics on characters of the corpus data to obtain a character set and numbering the characters to obtain a character number set; performing statistics on character tags to obtain a tag set, and numbering the tags to obtain a tag number set; dividing corpora according to sentence lengths, and grouping obtained sentences according to the sentence lengths to obtain a data set comprising n groups of sentences; randomly selecting a sentence group from the data set without replacement, wherein the characters of each sentence form a piece of data w, and the corresponding tag set is y; converting the data w into the corresponding number and tag y to be input to a LSTM-CNN of a model, and training parameters of the deep learning model; and converting to-be-predicted data into data matched with the deep learning model, and inputting the data to the trained deep learning model to obtain a word segmentation result.

The invention discloses a mixed corpus word segment method based on an LSTM (Long Short Term Memory)-CNN (Convolutional Neural Network). The method comprises the steps of converting training mixed corpus data into the mixed corpus data at a character level; counting the mixed corpus data characters to obtain a character set, and numbering each character to obtain a character serial number set; counting character labels to obtain a label set, numbering the labels to obtain a label serial number set; segmenting the corpus according to a sentence length, and grouping the obtained sentences according to the sentence length to obtain a data set; randomly selecting a sentence subgroup from the data set, extracting a plurality of sentences from the sentence subgroup, wherein the characters of each sentence form a datum w, and a corresponding label set is y; converting the datum w into a corresponding serial number and sending the label y to a model LSTM-CNN, and training a parameter of a deeplearning model; and converting to-be-predicted mixed corpus data into data matched with the deep learning model, sending the to-be-predicted mixed corpus data to the trained deep learning model to obtain a word segment result.

A sterilization container, insert therefor, and systems are described, wherein at least one of the container or the insert therefor at the contact point between them is constructed of a conductive, non-corrosive material, most preferably stainless steel, while the bulk of the container or insert therefore is constructed of a non-conductive material, most preferably anodized aluminum. The container, insert, and whole systems are suitable for use in gas plasma sterilization procedures, but especially in those procedures that include a hydrogen peroxide gas plasma “express” cycle.

The invention discloses a word-splitting method based on a Bi-LSTM-CNN. The method comprises the steps of converting training corpus data into character-level corpus data; counting corpus data characters to obtain a character set and numbering each character to obtain a character number set; counting character labels to obtain a label set, and numbering the labels to obtain a label number set; dividing a corpus according to the sentence length, grouping obtained sentences according to the length of the sentences to obtain a data set including n groups of sentences; selecting a group of sentences from the data set without putting back the sentences, extracting multiple sentences from the group, constituting data w through each characters of each sentence, and integrating the corresponding labels as y; converting data w into corresponding numbers and labels y, sending the data into the model Bi-LSTM-CNN, and training parameters of a depth leaning model; converting to-be-predicted data into data matched with the depth learning model, and sending the data to a trained depth learning model to obtain a word-splitting result.

A vehicle trailer detection system includes a radar system and a controller receiving object point location data from the radar system at an increased sensitivity level, storing sequential first and second object point location data sets, and applying a rotational point set registration to the first and second object point location data sets to achieve a match between a subset of persistent point locations within the first and second object point location data sets to output an estimated rotation angle. The persistent point locations in the first and second data sets are determined to correspond with detected points on a trailer coupled with the vehicle. The controller refines the estimated rotation angle by minimizing an error in matching between the persistent point locations in the first and second object point location data sets to output a determined hitch angle between the trailer and the vehicle about a coupling point.

The invention discloses a mixed corpus word segmentation method based on a Bi-LSTM-CNN. According to the method, training mixed corpus data is converted into corpus data at a character level; statistical analysis is performed on characters of the corpus data to obtain a character set, and each character is numbered to obtain a character number set; statistical analysis is performed on character labels to obtain a label set, and the labels are numbered to obtain a label number set; a corpus is divided according to sentence length, obtained sentences are grouped according to the sentence length,and a data set is obtained; a sentence group is selected from the data set randomly without replacement, multiple sentences are extracted from the sentence group, the characters of each sentence forma piece of data w, and the corresponding label set is y; the data w is converted into corresponding numbers and labels y, the corresponding numbers and labels y are input into a model Bi-LSTM-CNN, and parameters of a deep learning model are trained; and to-be-predicted data is converted into data matched with the deep learning model, and the data is input into the trained deep learning model to obtain a word segmentation result.

The invention relates to the technical field of financial science and technology (Fintech), and discloses an anti-fraud decision method, which comprises the following steps of: receiving an anti-frauddecision instruction for a current user, obtaining user identity card information of the current user, and generating a relative name verification problem and a corresponding first name based on theuser identity card information; obtaining a second name fed back by the current user based on the relative name verification problem, and determining a target matching score of the first name and thesecond name based on the similarity degree of the first name and the second name; and if the target matching score is greater than or equal to the preset matching score, passing the anti-fraud decision of the current user. The tolerance degree of name verification on the user can be increased by matching the similarity degree of the target matching score and the preset matching score, and certaindifference between the name and the name answer input by the user is tolerated; a large number of legal users are prevented from being judged as fraudulent users, and the accuracy of anti-fraudulent decision making is improved.

The invention discloses an air conditioning system. In the air conditioning system, a compressor, a first reversing valve, a first heat exchanger and a first indoor unit are connected to form a first circulation pipeline; the compressor, a second reversing valve, a second heat exchanger and a second indoor unit are connected to form a second circulation pipeline; the first circulation pipeline comprises a first pipeline, a second pipeline, a third pipeline and a fourth pipeline, wherein the first pipeline is used for connecting the first reversing valve with the first heat exchanger; the second pipeline is used for connecting the second reversing valve with the second heat exchanger; the third pipeline is used for connecting the first heat exchanger with the first indoor unit; the fourth pipeline is used for connecting the second heat exchanger with the second indoor unit; a first valve body is used for connecting the first pipeline with the second pipeline; a second valve body is used for connecting the third pipeline with the fourth pipeline. The air conditioning system is capable of making the first indoor unit and the second indoor unit to work at the same time or work at different time by utilizing the first circulation pipeline and the second circulation pipeline; the first valve body and the second valve body are capable of making the first heat exchanger and the second heat exchanger to support the work of one indoor unit at the same time, so that the refrigeration capability of the air conditioning system is guaranteed. The invention also discloses a control method of the air conditioning system.

An embodiment of the present invention provides a vibration motor. The vibration motor includes a vibrating component movable along a vibration direction; a fixation component including a housing with an s accommodation space; an elastic support part suspending the vibrating component in the accommodation space; and a number of limit blocks fixedly connected with the housing. Each of the limit blocks includes a horizontal part and a vertical part. The vertical part extends from the horizontal part towards the housing along the vibration direction. The vibration motor provided by the present invention can effectively solve the problem that the vibration motor loses function because of the collision between the vibrating component and the housing.

The invention discloses a forming die and a forming process of an automobile decoration ring, and relates to the technical field of automobile decoration manufacturing equipment. According to the forming die and the forming process of the automobile decoration ring, a forming module is included, the forming module comprises a cooling plate, an annular forming groove is formed in the back face of the cooling plate, a flow guide channel connected with the forming groove is formed in the center position of the back face of the cooling plate, the flow guide channel is of a cross-shaped structure, the cross-shaped center position of the flow guide channel is connected with a feeding pipe, the feeding pipe is fixedly connected to the front face of the cooling plate and penetrates through the front face of the cooling plate to communicate with the flow guide channel. Through the arrangement of a material returning module, the forming module and a matching module are limited at the same time through limiting rods fixed to clamping plates, so that the matching mode that two parts of a traditional die are connected in an inserted mode is avoided; and in this way, the situation that in a traditional die assembly matching mode, large abrasion is generated at a hole opening of a positioning hole, and consequently die matching is not tight is avoided.

The water quality sensor structure for washing machine includes outer tub holding washing water, open-mouthed pipe installed to the washing tub and water quality sensor for detecting the quality of washing water, as well as positioning blade in one the water quality sensor side to determine the position of the water quality sensor and installation error preventing blade in the outer tub side to avoid error installation of the water quality sensor. The present invention makes it possible for the water quality sensor to be installed in optimal mode and this can ensure the correct installation.