57 results about "Auxiliary field" patented technology

An electromagnetic method and apparatus for determining the azimuthal orientation of a drill bit instrumentation sub (70), with respect to a borehole bottom drilling assembly (150) includes an electromagnet (152) fastened to the drilling assembly to produce an auxiliary alternating electromagnetic field (162) having an axis (163) that is perpendicular to the borehole axis (160). The direction of the field lines (162) generated by this magnet (152) and the simultaneous measurement of an electromagnetic field (36) generated by current flow in a blowout well casing is measured by electromagnetic field sensors in the drill bit instrument sub (70) to determine the direction to a blowout The direction of the auxiliary field (162) produced by the electromagnet (152) makes it possible to determine the direction to the blowout with reference to the direction of drilling without using an intermediate parameter such as, for example, the direction of gravity.

A continuously variable ratio transmission including a planetary gear set having a sun gear, a ring gear, and a planet carrier having at least two planet gears carried thereon, a control element including a servogenerator capable of generating electric power, and at least one auxillary field coil adapted to be operatively connected to an output means to influence a power output level and AC power frequency of the output means, the at least one auxillary field coil being powered by the servogenerator and constituting a load to the servogenerator, the speed of the servogenerator being capable of being controlled by the load; and a means for controlling an electrical current to the at least one auxiliary field coil form the servogenerator; where the servogenerator is capable of being driven to produce electrical power by a rotation of one of the sun gear, the ring gear, and the planet carrier.

An electromagnetic method and apparatus for determining the azimuthal orientation of a drill bit instrumentation sub (70), with respect to a borehole bottom drilling assembly (150) includes an electromagnet (152) fastened to the drilling assembly to produce an auxiliary alternating electromagnetic field (162) having an axis (163) that is perpendicular to the borehole axis (160). The direction of the field lines (162) generated by this magnet (152) and the simultaneous measurement of an electromagnetic field (36) generated by current flow in a blowout well casing is measured by electromagnetic field sensors in the drill bit instrument sub (70) to determine the direction to a blowout The direction of the auxiliary field (162) produced by the electromagnet (152) makes it possible to determine the direction to the blowout with reference to the direction of drilling without using an intermediate parameter such as, for example, the direction of gravity.

An error correction coding is provided that generates P bits of check data from K M-bit words of payload data. The P bits of check data include an address field A, a bit error indicating field E and an auxiliary field P−(E+A). The address field encodes a set of error addresses which has a cardinality equal to the bit size K of the payload data and providing a one-to-one mapping between values of the address field and the locations of a single bit error within the payload data. The bit error indicating field indicates if a bit error is present. The auxiliary field is a minimum size bit vector such that together with the address field and the bit area indicating field it provides a checksum for a systematic code for the payload data with a minimum Hamming distance serving to provide either single error correction capability or single error correction and double error detection capability.

The embodiment of the invention discloses an optimized central control method, an optimized central control device and an optimized central control system, and relates to the field of equipment control and the auxiliary field of command control. The invention solves the technical problem of poor availability of central control systems in the prior art. The main method comprises the steps of: receiving a predetermined plan setting instruction input by a user, wherein the predetermined plan setting instruction comprises control parameters of at least one controlled device; storing the predetermined plan setting instruction input by the user; and sending the stored predetermined plan setting instruction to a central control computer after an execution instruction input by the user is received so that the central control computer controls the corresponding controlled device according to the control parameters in the predetermined plan setting instruction.

Disclosed herein are switching or other active FET configurations that implement a main-auxiliary branch design. Such designs include a circuit assembly for performing a switching function that includes a branch including a main path in parallel with an auxiliary path. The circuit assembly also includes a gate bias network connected to the main path and to the auxiliary path, the main path and the auxiliary path each having different structures that are configured to improve linearity of the switching function.

The invention discloses a classification method and device based on learning the image content recognition in a cross-data field subspace. The method comprises the following steps: extracting characteristics of various target images to be classified and converting image data into numeric data available for classification; inputting data characteristics of various target image data fields and auxiliary data fields as well as generic label data of corresponding auxiliary field data, and establishing a spectrogram adjacent graph; establishing a mathematical model for the image data, label information and adjacent graphs; according to the mathematical model, updating a constructing coefficient of a base vector in the subspace, new representation characteristics of the data in the subspace, classifier coefficients and quasi labels predicted on target field image data; and predicting classification labels of the target field image data and classifying the target image data through the classification labels. The classification method disclosed by the invention improves the accuracy and the stability significantly compared with a current transfer learning classification technology.

Disclosed herein are switching or other active FET configurations that implement a main-auxiliary branch design. Such designs include a circuit assembly for performing a switching function that includes a branch including a main path in series with an auxiliary path. The circuit assembly also includes a first gate bias network connected to the main path. The circuit assembly also includes a second gate bias network connected to the auxiliary path, the second gate bias network configured to improve linearity of the switching function.

Embodiments of the present application provide a similar account identification method and device. The method includes: allowing A data processing apparatus to obtain account information of a plurality of accounts to be identified and clustering the obtained account information. Calculating a similarity of a preset main field as a first similarity and a similarity of a preset auxiliary field as asecond similarity for account information of at least two accounts to be identified belonging to the same clustering; Weighted averaging the first similarity degree and the second similarity degree toobtain an average similarity degree; If the average similarity reaches a preset threshold, determining that the at least two accounts to be identified are accounts of the same user, and fusing data from the at least two accounts to be identified. Thus, different virtual identities of the same user can be accurately identified, and the behavior of the user on the network can be accurately analyzed.

Disclosed herein are switching or other active FET configurations that implement a main-auxiliary branch design. Such designs include a circuit assembly for performing a switching function that includes a branch including a main path in parallel with an auxiliary path, both the main path and the auxiliary path having a plurality of field-effect transistors. The circuit assembly also includes a first gate bias network connected to the main path. The circuit assembly also includes a second gate bias network connected to a first subset of the plurality of FETs of the auxiliary path. The circuit assembly also includes a third gate bias network connected to a second subset of the plurality of FETs of the auxiliary path so that the third gate bias network switches on the auxiliary path when the main path is on for nonlinear cancellation, and switches off the auxiliary path when the main path is off to enable the branch to withstand maximum voltage swings.

Improved power management for a vehicle locating unit is achieved by receiving a transmission from a communication source, each transmission including at least one message frame having a data field and at least one auxiliary field; entering a wake mode upon indexing the assigned message frame of the receiver in the transmission; matching the pattern of bits of at least one auxiliary field of the indexed frame with one or more stored patterns of bits expected for that auxiliary field; and returning to the sleep mode as soon as a mismatch is determined or processing the message if no mismatch occurs.

The invention discloses a ground-penetrating radar forward-modelling method based on FETD and FDTD coupling. The method comprises the following steps: loading a two-dimension model parameter; dividinga ground-penetrating radar numerical simulation region into a model region and an extension region; splitting the model region by adopting an unstructured triangle unit, and splitting the extension region by using a regular grid; setting a measurement point, and loading an excitation source at a location corresponding to the measurement point; setting the components of the electric fields and auxiliary fields of all time before the initialization time step as zero, and updating the auxiliary field according to the FDTD auxiliary field time stepping formula, and updating the electric field according to the FETD main field time stepping formula so as to obtain the electric field value of the measurement point at each time step till to the maximum time step; and obtaining the ground-penetrating radar forward-modelling profile map according to the electric field values of all time steps at each measurement points. The method disclosed by the invention is high in fitting precision and fastin computation.

Disclosed herein are switching or other active FET configurations that implement a main-auxiliary branch design. Such designs include a circuit assembly for performing a switching function that includes a branch including a main path in parallel with a first auxiliary path and the main path in series with a second auxiliary path. The circuit assembly also includes a first gate bias network connected to the main path. The circuit assembly also includes a second gate bias network connected to the first auxiliary path. The circuit assembly also includes a third gate bias network connected to the second auxiliary path, the second gate bias network and the third gate bias network configured to improve linearity of the switching function.

The invention discloses an SAR (synthetic aperture radar) image change detection method based on a high-order neighborhood triplet Markov random field model, and mainly solves problems of high false detection amount and low overall precision of an existing method. The SAR image change detection method comprises the following steps: 1, inputting two time phase SAR images and generating a differential image; 2, initializing a labeling field X; 3, initializing a likelihood parameter; 4, performing definition on the initialized labeling field X by adopting a 3*3 neighborhood and initializing an auxiliary field U; 5, constructing a priori potential energy function comprising a homogeneous region, a heterogeneous region and a U field part by adopting a 5*5 high-order neighborhood; 6, updating the labeling field X and the auxiliary field U; 7, updating the likelihood parameter according to the updated labeling field X; 8, performing iterative updating on the labeling field X and the auxiliary field U and obtaining a final change detection result. Compared with the prior art, the SAR image change detection method reduces the false detection amount, improves the overall detection precision, enhances the noise robustness, and can be used for SAR image recognition.

The invention discloses an unsupervised image recognition method based on parameter transfer learning, and belongs to the technical field of image recognition. The method solves the problems that a traditional unsupervised image recognition method needs a large number of unlabeled samples, and the training time is long due to a large number of unlabeled samples. According to the invention, transfer learning is directly carried out on parameters of the identification model; Only labeled samples in the auxiliary field and a small number of unlabeled samples in the application field are needed. According to the method, the problem that a traditional unsupervised image recognition method needs a large number of unlabeled samples is solved, dependence on the label samples is reduced, the problem of unsupervised recognition is solved, the learning efficiency of the model is improved, and the method is more suitable for an application scene with a large data scale. The method can be applied to the technical field of image recognition.

Disclosed herein are switching or other active FET configurations that implement a main-auxiliary branch design. Such designs include a circuit assembly for performing a switching function that includes a branch including a main path in parallel with an auxiliary path, both the main path and the auxiliary path having a plurality of field-effect transistors. The circuit assembly also includes a first gate bias network connected to the main path. The circuit assembly also includes a second gate bias network connected to a first subset of the plurality of FETs of the auxiliary path. The circuit assembly also includes a third gate bias network connected to a second subset of the plurality of FETs of the auxiliary path, the second gate bias network and the third gate bias network being independently configurable to improve linearity of the switching function.

Disclosed herein are switching or other active FET configurations that implement a main-auxiliary branch design. Such designs include a circuit assembly for performing a switching function that includes a branch including a main path in parallel with an auxiliary path, both the main path and the auxiliary path having a plurality of field-effect transistors. The circuit assembly also includes a first gate bias network connected to the main path. The circuit assembly also includes a second gate bias network connected to a first subset of the plurality of FETs of the auxiliary path. The circuit assembly also includes a third gate bias network connected to a second subset of the plurality of FETs of the auxiliary path, the second gate bias network and the third gate bias network being independently configurable to improve linearity of the switching function.

The invention discloses a comprehensive similarity migration-based collaborative filtering algorithm. According to the algorithm of the invention, in the aspect of similarity calculation, user ratinginformation and user attribute information are both utilized, satisfaction degree scoring criterion differences between users are considered, a method which adopts the distribution consistency of userratings to measure the similarity of the user ratings is adopted, and therefore the comprehensive similarity migration-based collaborative filtering algorithm can improve the accuracy of similarity calculation and improve the quality of data migration compared with the prior art. The experimental results show that the model can effectively alleviate a data sparsity problem compared with other algorithms. In the future, the data of auxiliary fields can be migrated through combining the similarity of projects or other knowledge such as text information, and therefore, recommendation accuracy can be improved.

The invention relates to a transfer learning and deep learning-based citizen mediation case classification system and method. The system comprises a data acquisition module, a feature extraction module, a feature transfer module and a network training module, and is simple in structure and wide in application range; The method comprises the steps of constructing a character vector matrix, performing auxiliary data vectorization processing, performing vectorization processing on the citizen mediation data, inputting the vectorized auxiliary data into a neural network, extracting auxiliary datafeatures, migrating the extracted auxiliary data features into the vectorized citizen mediation data, and training a classification model. According to the method, all texts can be effectively converted, low-frequency words cannot be ignored, dimension reduction is obvious, the training speed is high, and follow-up online iterative optimization is facilitated; And meanwhile, the difference betweenthe people's mediation field and the auxiliary field is solved, and the individual requirements of the specific field are met.

An imaging method for a printing form (32) is described, with one or more laser diode bars (10) with n individually controllable laser diodes (12) each of which are assigned to one imaging channel, in which the laser diodes (12) of a laser diode bar (10) are divided into a main field (14) of m and into an auxiliary field (16) of (n-m) laser diodes (12) in such a way that an imaging channel (44) in the auxiliary field (16) with a matching feed that can be activated is assigned to each imaging channel (44) in the main field (14) that cannot be activated. In order to create a row (40) of m printing dots (38) on a setting line (36) at even distances a by means of the imaging channels (44), printing dots (38) are set by the main field (14) at a first time, and by the auxiliary field (16) at least at a second time. The imaging channels (44) are shifted relative to the printing form (32) parallel to the setting line (36) between the imaging times. Also, a method for the determination of the largest possible main field (14) with imaging channels (44) that under the circumstances cannot be activated is provided.

The invention proposes a 12 / 10 permanent magnet auxiliary excitation switched reluctance motor, composed of a stator back yoke, a stator iron core, a torque winding coil, an auxiliary excitation coil, a permanent magnet, a rotor iron core and a shaft. The stator iron core has 12 magnetic pole teeth, wound by the torque winding coil thereon; the outer side of the stator iron core is the stator back yoke, and the stator back yoke and the stator iron core are connected. The permanent magnet is embedded in the stator iron core's yoke part and the auxiliary excitation coil is wound in the auxiliary excitation winding mounting groove of the stator iron core's yoke. The inner part of the stator iron core is the rotor iron core, with a gap between the stator iron core and the rotor iron core to form an air gap. The rotor iron core has 10 magnetic pole teeth evenly distributed along its circumference, and the inner part of the rotor iron core is the shaft. The present invention provides excitation flux through a permanent magnet and an auxiliary field winding coil, thereby increasing the output torque of the motor.

The present invention provides a machine manufacturing teaching auxiliary system based on an AR (Augmented Reality) cloud storage technology and a development method thereof. The present invention relates to machine manufacturing teaching software and a development method thereof. The objective of the invention is to solve the problems that drawing teaching is not intuitional, students' interest is low, a used entity model is poor in movability and the convenience is poor in the current teaching and current AR auxiliary software is single in content and limited in teaching capacity. The systemcomprises: a course preparation sub system configured to display topic distribution, course information and typical part information; and an AR display sub system configured to perform superposition,fusion and display of three-dimensional models of the typical part and the typical part clamp. The AR display sub system comprises a rotation zooming section view module, an information display module, a multi-map identification module, an animation display module and a cloud storage module. The machine manufacturing teaching auxiliary system based on the AR cloud storage technology and the development method thereof are used for the machine manufacturing teaching auxiliary field.

The invention belongs to the design technology of an accelerator, and particularly relates to a homogenized sextupole magnet of a permanent magnet beam. According to the sextupole magnet, the field exciters of a pair of relative magnetic poles are cancelled based on a traditional design, the distance between the pair of magnetic poles is shortened, and field excitation directions in a pair of adjacent magnetic poles is changed at the same time. A field excitation component comprises a permanent magnet as a main field exciter and an excitation wire wrap as an auxiliary field exciter. According to the homogenized sextupole magnet provided by the invention, the symmetric about the origin of a coordinate of a magnetic field generated on an X axis can be realized, and the square of the size is proportional to the square of the position of the magnetic field, therefore a good homogenization effect can be provided to beam spots which are in a trigonometrical density distribution way.

The invention belongs to the remote operation and teaching auxiliary field, and discloses a teaching-facilitating one-to-one teaching auxiliary method and a system, comprising: a central processing module, a storage module, a network communication port, a router device, a touch contact display screen, an audio-video acquisition module, an image acquisition module, and an identity card reading module. The student's mobile terminal, the teacher's mobile terminal, and the parents' mobile terminal of the invention are all connected with the central processing module so that the students, the parents and the teachers can use the corresponding user applications on these mobile terminals to input multi-dimension evaluation data about the students in corresponding scenarios and through the backstage application, the evaluation data are processed so as to obtain the summarization of the students' knowledge level and their learning path guidance, and to give feedback to the students, the parents and the teachers through the mobile terminals.

The invention discloses a pseudo code capturing method and device, and belongs to the technical field of communication. The pseudo code capturing method comprises the steps of receiving a signal sentby a transmitting end to obtain a received signal; performing convolution operation by adopting a local pseudo code sequence and the received signal so as to obtain a first correlation signal, whereinthe local pseudo code sequence is the pseudo code sequence same as the pseudo code sequence in an auxiliary field; multiplying the first correlation signal with a delayed conjugation signal to obtainintercorrelation signal, and the delayed conjugation signal is a conjugation signal of delay signal of the first correlation signal which delays for 4*M sampling points; performing convolution operation on the intercorrelation signal and a set sequence to obtain a second correlation signal, wherein the set sequence comprises M-1 bits with the value as 1, and 4*N-1 bits with the value as zero exist between each two adjacent bits with the value as 1; performing differencing processing on the second correlation signal and the delay signal of the second correlation signal which delays for 4*N*(M-1) / 2 sampling points to obtain an external correlation signal; and determining a start position of the auxiliary field based on the external correlation signal so as to accordingly realize pseudo codecapturing.

The present invention discloses an eye visual characteristic-based panoramic view display method. According to the method, the horizontal viewing angle Phi of the eyes of a user when the user looks straightly ahead is obtained; cameras are adopted to obtain a horizontal 360-degree panoramic image around the user, the front-surface camera displays an image which is located in front of the user andis larger than Phi in a main field of view window, the rear camera displays images which are located at the left side, right side and rear side of the user and are larger than an angle of (90-Phi / 2) degrees at a left auxiliary field of view window and a right auxiliary field of view window respectively in a compressed manner; the three images are spliced and combined, the movement of the eyes is tracked at the same time, and images at the focusing position of the eyes and in a width area which extends towards two sides for a limited distance can be displayed normally and are not deformed. Withthe method adopted, a soldier can be assisted to know the situation of 360-degree peripheries around the side and rear of the soldier without turning his or her head in a combat, and therefore, combat capability can be effectively improved. The method of the invention has a bright application prospect in the military and civilian recreation field.

The invention discloses an even state multi-optical path gas absorption chamber. According to the even state multi-optical path gas absorption chamber, by changing the curvature center positions of two objective lenses in a traditional Chernin type MMS four-objective lens multi-optical path absorption chamber, the light spots positioned at the (m-1) row*(n-1) column and excluding the light spots at the columns corresponding to the incidence point and the emergence point on the main field lens are re-used four times, and the light spots at the column corresponding to the incidence point and at one row on the auxiliary field lens are re-used twice, such that the total passing number in the chamber is increased to (4m-2).(2n-1), and the optical path is increased by about 1 time compared to the structure provided by the traditional Chernin so as to substantially improve the effective absorption optical path and reduce the detection limit of the instrument in the case of the unchanged absorption chamber volume. The invention further discloses an odd state multi-optical path gas absorption chamber. The present invention further discloses a corresponding measurement system.