160results about How to "Simplify the scale" patented technology

Methods, systems, and computer program products for extensible, profile- and context-based information correlation, routing, and distribution are disclosed. According to one system, source plug-ins receive output from a plurality of different sensors. A content manager merges data from individual sensors together with metadata that is representative of a context and aggregates the sensor data and the context metadata into knowledge items. A scenario engine achieves sensor fusion by comparing the sensor data and its context metadata against a defined set of policies and/or rules and provides for performance of an action when a rule or policy is satisfied.

A method is disclosed to generate, while preserving text, image, transactional and embedded presentation constraint information, a minimum set of simplified and navigable web contents from a single web document that is oversized for targeted smaller devices. The method includes a parser, a content tree builder, a document tree builder, a document simplifier, a virtual layout engine, a document partitioner, a content scalar and a markup generator. The parser generates markup and data tags from an HTML source document. The builder constructs a content tree. The simplifier transforms the document tree into an intermediate one defined by a subset of XHTML tags and attributes. Layout constraints, including size, area, placement order, and column/row relationships, are calculated for partitioning and scaling the document tree into sub document trees with assigned navigation order and hierarchical hyperlinks. A simplified HTML document is then generated with the markup generator.

A wall panel for holding an accessory, the wall panel having a recessed slot, at least a portion of which has an undercut and a shaped opening in communication with a portion of the recessed slot and the undercut. The shaped opening may be capable of receiving a shaped attachment member of an accessory, the shaped attachment member then being slidable within the undercut and the recessed slot beyond the limits of the shaped opening. A plurality of wall panels may be adapted to form a wall panel system.

A system and method for high-speed, low-power cryogenic computing are presented, comprising ultrafast energy-efficient RSFQ superconducting computing circuits, and hybrid magnetic/superconducting memory arrays and interface circuits, operating together in the same cryogenic environment. An arithmetic logic unit and register file with an ultrafast asynchronous wave-pipelined datapath is also provided. The superconducting circuits may comprise inductive elements fabricated using both a high-inductance layer and a low-inductance layer. The memory cells may comprise superconducting tunnel junctions that incorporate magnetic layers. Alternatively, the memory cells may comprise superconducting spin transfer magnetic devices (such as orthogonal spin transfer and spin-Hall effect devices). Together, these technologies may enable the production of an advanced superconducting computer that operates at clock speeds up to 100 GHz.

The invention relates to a coaxial connector (1), comprising a first and a second connector part (2, 3) and an adapter (4) arranged therebetween. The first and the second connector part (2, 3) include a first inner conductor (5) and a first outer conductor (8), including a first internal cylindrical contact surface (24) and a second internal cylindrical contact surface (25), respectively. In a socket area (17) of the first inner conductor (5), a first mechanical operative-connection means interacts with a second mechanical operative-connection means (11) in the installed state in order to establish a mechanical connection (13) that is effective in the axial direction (z). The first inner conductor (5) protrudes beyond the level of the mechanical operative-connection means (10, 11) so the internal cylindrical contact surface (24) is able to compensate a large axial offset (dz) of the connector parts (2, 3) relative to the adapter (4).

A crosstalk channel estimation method, a device and a system. The method includes the steps of a vector control entity (VCE) generating an orthogonal training guide frequency sequence matrix according to user's route; the VCE allocateing guide frequency sequence for each on-line user route i respectively according to the orthogonal training guide frequency sequence matrix,wherein the guide frequency sequence allocated after being modulated is sent out by a tramsmitting end Ti of each on-line user route i, and the guide frequency sequences of any two routes among the on-line user's routes are orthogonal, VCE receiving error samples sent by the receiving end Ri of each on-line user route i, wherein the error samples are obtained by the receiving end Ri according to the modulation signal of the guide frequency sequences; and the VCE calculating the crosstalk channel estimation parameters based on the error samples and the guide frequency sequence of the on-line user routes.

The invention discloses a fault location method based on a residual and a double-stage Elman neural network for a hydraulic servo system, comprising the following steps of: obtaining the input/output signals of the hydraulic servo system in a normal working state, an electronic amplifier fault state and a leakage fault state, training a fault observer by virtue of the input/output signal in the normal state, and obtaining a real-time residual signal by the fault observer at first, and then training a state follower in real time and on line to obtain a network connection weight corresponding to the real-time signal, and training an RBF (radial basis function) fault locator by using the time-domain characteristic value of the residual signal and the network connection weight as the training input samples of the RBF fault locator. Both of the fault observer and the state follower are realized by the improved Elman network. Whether the system has a fault or not at present can be judged by comparing the time-domain characteristic value with a fault threshold, and the type of the fault can be obtained by the fault locator. The fault location method disclosed by the invention realizes fault location for the hydraulic servo system, and has high location accuracy and engineering applicability.

The invention discloses a fiber optic gyroscope temperature drift modeling method by optimizing a dynamic recurrent neural network through a genetic algorithm. The fiber optic gyroscope temperature drift modeling method by optimizing the dynamic recurrent neural network through the genetic algorithm comprises the following steps of (1) initializing network parameters, and establishing an improved Elman neural network model; (2) obtaining a training and testing sample; (3) training an improved Elman neural network, and optimizing model parameters through the genetic algorithm; (4) outputting forecasts of an fiber optic gyroscope, and compensating errors. The output of the fiber optic gyroscope processed through a denoising algorithm is trained by introducing the improved Elman neural model with self-feedback connection weight, constant iterative optimization is carried out on the model parameters through the genetic algorithm, and the optimal model is obtained according to the magnitude of the errors of the model under different parameters. According to the fiber optic gyroscope temperature drift modeling method by optimizing the dynamic recurrent neural network through the genetic algorithm, the complexity of the algorithm is taken into consideration, the accuracy of the fiber optic gyroscope temperature drift model is improved, the application of the fiber optic gyroscope temperature drift model in engineering is expanded, and certain practical significance is achieved.

In a method and apparatus for magnetic resonance imaging with adherence to SAR limit values, a patient is subjected to a radio-frequency pulse sequence via at least one transmission antenna and the magnetic resonance signals that are produced are acquired in a spatially resolved manner via at least one reception antenna and are further-processed for producing magnetic resonance images or spectra, with current SAR values, determined before the implementation of the measurement on the basis of patient data and the position of the patient relative to the transmission antenna for planned parameters of the measurement, being modified as warranted until the current SAR values lie within the SAR limit values. The determination of the current SAR values ensues by comparing the current measurement situation to pre-defined measurement situations stored in a data bank for which pre-calculated SAR values are stored. The stored SAR value of the measurement situation of the data bank coming closest to the current measurement situation is utilized as the current SAR value. A reduction of the calculating outlay for determining the SAR values during the examination is achieved, and the data bank values can be calculated highly detailed, allowing a more exact determination of the current SAR values. The reduction of the safety margins that is achieved allows an enhancement of the system performance for the user, so that the user can implement the measurements in a shorter time and/or simultaneously acquire a number of tomograms.

A method and transmission circuit are provided for generating a transmission signal, wherein the feedback component of the transmission signal is attenuated in accordance with the required mean transmission power and used for regulation, i.e., the mean transmission power is adjusted by variable attenuation between the transmission amplifier and the comparator in the control loop.

An image search method and system using face detection, begins with receiving a query submitted by a user. Next a query word is searched in the query from an image resource using an image search engine to obtain an initial image collection. Any faces are detected in each image in the initial image collection which has been searched. A search for the query word in a text surrounding each image having the face in the initial image collection is performed. A determination is made whether the query word indicates at least one person's name in the surrounding text matching the query word. An image an image in the initial image collection is returned to a user in which the face is included and the query word in the surrounding text indicates the person's name.

The invention is a fuel cell layer for connecting to an external load made of a fuel plenum, an oxidant plenum, a porous substrate connecting the fuel and oxidant plenums, and a plurality of fuel cells, wherein each cell has a distinct channel, two catalyst layers, an anode in one layer and a cathode in the other layer, an electrolyte in the channel to prevent transfer of fuel to the cathode and oxidant to the anode, two coatings on the porous substrate to prevent fuel or oxidant, sealant barriers, and a positive electrical and negative electrical connection disposed on the side of the channel.

When reception of multiplexed PSK modulated waves BPSK and 8PSK starts, a selector (16C) of a demodulation circuit (IC) read higher-order three bits ΔΦ(3) of the phase error data corresponding to outputs I′ and Q′ of a remapper (7) for performing absolute phasing from a phase error table for BPSK out of tables provided for respective types of modulation methods. A reception signal phase rotation angle detection circuit (8C) detects the phase rotation angle corresponding to a bit “1” of a frame sync signal of a received symbol stream from ΔΦ(3) and the MSB of the output I′ of the remapper (7) and outputs the phase rotation angle to the remapper (7) to allow the remapper (7) to perform absolute phasing. The selector (16C) reads phase error data corresponding to the received symbol data after absolute phasing output from the remapper (7) from the phase error table corresponding to the modulating method identified by a transmission configuration identification circuit (9), outputs the phase error data to a D/A converter (17), corrects the phase of carrier waves for orthogonal detection, and causes the difference in phase between the received signal point and the transmission signal point to be constant.

The present invention discloses a content routing system of a network layer based on an SDN technology and a CCN frame and a working mode thereof. The system is characterized by comprising a protocol oblivious forwarding (POF) controller and n content routers, wherein the POF controller comprises a link discovery module and a topology management module, and the content routers are used for operating a POFSwitch forwarding process and a POF-CCN routing process. According to the present invention, a hard coupling relationship of the content names and the positions thereof is removed in the system network layer, thereby being able to directly route to the content sources according to the content names, and realizing a content obtaining function of the network layer.

The invention discloses a device and method for detecting a terahertz signal multi-dimensional image through dual Fourier transformation. The device comprises a focal plane array receiver, a light splitting device, a frequency division multiplexing readout device and a system control module. A terahertz signal is outputted to a KID detector array after being processed by the light splitting device, a multi-tone signal generated by the frequency division multiplexing readout module is inputted to the KID detector array of the focal plane array receiver, and a multi-tone signal outputted by the KID detector array is outputted to the frequency division multiplexing readout module after being processed by a broadband low-temperature and low-noise amplifier so that real-time spectrum processing can be conducted on the multi-tone signal. The system control module controls the light splitting device and the frequency division multiplexing readout module, reads a broadband continuous spectrum signal amplitude and spectrum signal interference map, conducts low-medium resolution spectrum processing on the interference map, and conducts multi-dimensional terahertz image signal processing on the read signal. According to the device and the method, the technology of highly flexibly detecting a terahertz signal broadband continuous spectrum and low-medium resolution spectrum map can be achieved, and the terahertz signal multi-dimensional image can be detected.

The composite model construction uses a semi-flexible expanded polypropylene foam plastic core with a thin, semi-rigid polycarbonate plastic shell adhesively attached to the core. The core includes various rigid structural members installed therein, as required, for sufficient structural stiffness for the model. The core and plastic shell components may be formed by injection molding, vacuum forming, or other processes. The model construction method provides a highly accurate outer surface for a model, with the outer shell being formed with scale details, such as panel seams, rivet lines, etc. during the molding or forming process. A motor or other prime mover may be added to the composite model body. The materials used in the composite model are resilient with a flexible yet tough outer shell to resist impact damage, and allow repairs to be made quickly and easily when required.

The invention provides a pattern matching method based on decision tree pruning. The simplified AC algorithm of the decision tree pruning method is combined in the pattern matching method, and the pattern matching method comprises the steps of generation of an automatic machine, simplification of the automatic machine, failure pointer calculation and suffix table storage and matching. The conventional automatic machine type pattern matching algorithm is divided into two steps: matching possibility judgment and matching confirmation. The possibility of matching of text strings and pattern strings in a pattern set is judged by the simplified automatic machine and then matching confirmation is performed. Compared with the conventional automatic machine type pattern matching algorithm, memory consumption of the simplified method is reduced for 35%-40% under the premise of guaranteeing speed. Besides, the scale of the automatic machine can be effectively reduced by the decision tree pruning method, and nodes useless for classification judgment are deleted so that memory consumption of the conventional automatic machine type pattern matching can be effectively reduced.

The invention discloses a denoising method of an observation signal of an artificial-source electromagnetic-method. The method includes: firstly, carrying out fast Fourier transform (FFT) on the noised signal, removing power-frequency interference in a frequency-domain signal, and returning to a time domain after inverse Fourier transform; then carrying out EEMD (Ensemble Empirical Mode Decomposition) on a time-domain signal after removing the power-frequency interference, and attenuating signal baseline drift; and finally, further correcting the baseline drift of the signal on the basis of shift-invariant sparse coding (SISC), and removing other human noises. According to the method, power-frequency interference noises, baseline drift noises and the human noises of pulses and the like ofwhich amplitude is much larger than that of a useful signal can be effectively removed on the premise of not losing the useful signal, the strong noises are allowed to exist in an entire process fromobservation starting to ending, and thus the artificial-source electromagnetic-method is enabled to be used for observation under an environment of continuous and strong interference.

The invention discloses an audio amplification circuit comprising an audio power amplifier, a boosting conversion circuit and a control circuit, wherein the control circuit is used for generating a first control signal and a second control signal; the boosting conversion circuit is connected with the control circuit and the audio power amplifier and is used for converting power voltage to high voltage under the control of the first control signal, and the high voltage is used for supplying power to the audio power amplifier; the audio power amplifier is connected with the control circuit and is used for amplifying an audio input signal under the control of the second control signal and outputting an audio output signal; the boosting conversion circuit is used for sending a signal of successful establishment to the control circuit after the high voltage is established; and the control circuit sends the second control signal to the audio power amplifier after receiving the signal of successful establishment. The audio amplification circuit effectively eliminates starting noises caused by an independent control circuit.

The invention discloses an image sample upsampling method based on convolution self-coding, and the method comprises the steps of carrying out the cutting of each three-dimensional magnetic resonanceimaging sample, obtaining two-dimensional images of a region where a tumor is located through cutting, and carrying out the scale normalization of all the two-dimensional images; building a network structure in a form of cascade connection of an encoder and a decoder, and serving as a model; training the model by setting a learning rate and a loss function; carrying out optimization processing onthe trained model by adopting an adaptive moment estimation optimizer; inputting any random positive sample into the trained network to obtain low-dimensional features extracted by the encoder, calculating Euclidean distance center points of eight groups of features, and randomly selecting one group of features from the eight groups of features to obtain new features; and inputting the new features into a decoder for image reconstruction, and outputting a positive sample image. According to the method, the feature extraction is carried out through the encoder, sample enhancement is carried outon samples at the feature level, image reconstruction is carried out through the decoder, upsampling of a few types of samples is obtained, and the method can be used for balance preprocessing of classification problems.

The invention discloses a method for diagnosing a fault of an oil-immersed transformer on the basis of a rough set and a bayesian network. The method comprises the following steps that (a) the type of the fault is determined, as much as possible input fault characteristic vectors are selected in an original sample set, and an input attribute set is determined; (b) discretization processing is carried out on a fault data set through a data discretization method in the rough set theory, and a discretization decision table is established; (c) establishment of the bayesian network is carried out through Matlab; (d) a conditional probability table is initialized, wherein all the possible conditional probabilities of each node relative to the father node of the node and the quantitative description of the corresponding problem domain are listed in the conditional probability table; (e) parameter learning is carried out, and a deduction engine is established to carry out deduction after the bayesian network is established; (f) a test sample set is input, the posterior probability is solved, and the type of the fault is judged. The method for the oil-immersed transformer on the basis of the rough set and the bayesian network can simplify the scale of a diagnosis network, enhance the anti-interference performance of the network, diagnose various faults of the transformer rapidly, and reduce the outage rate of the transformer greatly.

The invention discloses a non-refrigerating infrared focal plane array as well as a preparation method and application thereof. The non-refrigerating infrared focal plane array is composed of a micro-cantilever pixel array, a substrate for supporting the micro-cantilever pixel array and a circuit arranged on the substrate, wherein the micro-cantilever pixel array consists of an infrared adsorption face, cantilever landing legs, a metal-oxide semiconductor field effect transistor (MOSFET) device, an output lead and support anchor points. The non-refrigerating infrared focal plane array does not have any special process, is easy to realize monolithic integration with an integrated circuit (IC) and is suitable for industrial manufacture in bulk, the products with different precision requirements are easy to obtain, huge promoting space is provided for high resolution, circuit scale is significantly simplified, and design cost is significantly lowered, therefore a feasible design scheme is provided for large-scale industrialization.