107results about "Complex mathematical operations" patented technology

A novel and useful apparatus for and method of software based phase locked loop (PLL). The software based PLL incorporates a reconfigurable calculation unit (RCU) that is optimized and programmed to sequentially perform all the atomic operations of a PLL or any other desired task in a time sharing manner. An application specific instruction-set processor (ASIP) incorporating the RCU includes an instruction set whose instructions are optimized to perform the atomic operations of a PLL. A multi-stage data stream based processor incorporates a parallel/pipelined architecture optimized to perform data stream processing efficiently. The multi-stage parallel/pipelined processor provides significantly higher processing speeds by combining multiple RCUs wherein input data samples are input in parallel to all RCUs while computation results from one RCU are used by adjacent downstream RCUs. A register file provides storage for historical values while local storage in each RCU provides storage for temporary results.

A steering angle estimation section calculates a front-wheel-side estimative steering angle and a rear-wheel-side estimative steering angle through use of wheel speeds of respective wheels, and averages these steering angles to thereby obtain an accurate estimative steering angle. It also calculates an estimative steering angle difference between the steering angles. An axial force estimation section calculates a base axial force through use of the estimative steering angle and a vehicle speed, and calculates a correction axial force which applies an axial force difference (hysteresis) to the base axial force in accordance with a turning or returning operation by a driver. The axial force estimation section adds the base axial force and the correction axial force together to thereby calculate an accurate estimative axial force. An assist computation section compares a target steering torque, which changes with the vehicle speed, and the accurate estimative axial force, and subtracts the target steering torque from the estimative axial force, to thereby calculate an assist torque.

Methods and systems represent constraint as an Ising model penalty function and a penalty gap associated therewith, the penalty gap separating a set of feasible solutions to the constraint from a set of infeasible solutions to the constraint; and determines the Ising model penalty function subject to the bounds on the programmable parameters imposed by the hardware limitations of the second processor, where the penalty gap exceeds a predetermined threshold greater than zero. Such may be employed to find quantum binary optimization problems and associated gap values employing a variety of techniques.

The system and method of the present invention automatically extracts the top k recommendations of objects, such as topics, items, products, books, movies, food, drinks, etc., from a local probabilistic recommendation system. Unlike prior systems, the present invention accomplishes the extraction of the top k recommendations of objects without examining a probability for every object that can be recommended. Further, the system and method of the present invention is capable of being implemented using probabilistic recommendation systems based on any conventional type of probabilistic distribution or machine learning technique, including, for example, decision trees and Bayesian networks.

The present invention utilizes a cross-prediction scheme to predict values of discrete and continuous time observation data, wherein conditional variance of each continuous time tube variable is fixed to a small positive value. By allowing cross-predictions in an ARMA based model, values of continuous and discrete observations in a time series are accurately predicted. The present invention accomplishes this by extending an ARMA model such that a first time series “tube” is utilized to facilitate or “cross-predict” values in a second time series tube to form an “ARMAxp” model. In general, in the ARMAxp model, the distribution of each continuous variable is a decision graph having splits only on discrete variables and having linear regressions with continuous regressors at all leaves, and the distribution of each discrete variable is a decision graph having splits only on discrete variables and having additional distributions at all leaves.

The computerized method, software, and product of this invention implements a process for computationally designing proteins and/or associated molecular targets with desired quantitative stability/flexibility relationships (QSFR). QSFR is an innovative, high dimensional metric calculated using an improved Distance Constraint Model (DCM). This invention includes three distinct aspects: (i.) utilizing QSFR in computational molecular design of protein sequences, or variations of molecular structures, to have specific stability and flexibility relationships deemed important for biochemical function for specified thermodynamic and solvent conditions; (ii.) utilizing QSFR to optimize thermodynamic and/or solvent conditions necessary for a specified molecular system to exhibit protein function characteristics, such as improved catalytic efficiency; and (iii.) utilizing QSFR to computationally screen or design small molecules and/or design its putative receptor so as to exhibit a desired affect on protein function.

A system and method Fast Fourier Transform (FFT) method in a multi-mode wireless processing system. The method can include loading an input vector into an input buffer, initializing a second counter and a variable N, where N=log₂ (input vector size), and s is the value of the second counter, performing an FFT stage, and comparing s to N and performing additional FFT stages until s=N. Performing the FFT stage can include performing vector operations on data in the input buffer and sending results to an output buffer, the data in the input buffer comprising a plurality of segments, advancing the value of the second counter; and switching roles of the input and output buffers. The vector operations can include performing Radix-4 FFT vector operations on the four input data at a time and multiplying the resulting output vectors with a Twiddle factor.

Techniques are presented for providing misinformation detection in online content. The described techniques can identify instances of misinformation in online content and pass a misinformation result to the user. A misinformation probability analysis can be performed by applying a syntactic analysis and a semantic analysis to detect misinformation with confidence by applying featurization to a URL, text of content referenced by the URL, and metadata associated with the URL using a feature set, the feature set comprising semantic-based features and syntactic-based features, wherein the semantic features and the syntactic features are selected from the group consisting of: sentiment amplifiers, sentiment continuity disruption features, lexical features, keywords, baseline features, speech act, sensicon features, emotion detection on the obtained text, exaggerated language, strong adjectives, heuristics, bag-of-words, objectivity, colloquial-ness score, and semantic difference.

Initially, non-uniformity of statistical skews between a plurality of clock output terminal pairs is calculated. Next, a partial circuit driven by a clock output terminal pair having each skew distribution is extracted from an integrated circuit. Next, a second statistical timing characteristic which is a maximum value in the partial circuit is obtained from a first statistical timing characteristic of signal paths included in the extracted partial circuit. Next, timing verification for the integrated circuit is performed using the second statistical timing characteristics corresponding to the respective statistical clock skews.

A system and method for determining satisfiability of a bounded model checking instance by restricting the decision variable ordering of the SAT solver to a sequence wherein a set of control state variables is given higher priority over the rest variables appearing in the formula. The order for control state variables is chosen based on an increasing order of the control path distance of corresponding control states from the target control state. The order of the control variables is fixed, while that of the rest is determined by the SAT search. Such a decision variable ordering strategy leads to improved performance of SAT solver by early detection and pruning of the infeasible path segments that are closer to target control state.

The invention is suitable for the technical field of ice shape prediction, and provides a deep belief network-based airfoil profile icing ice shape prediction method and device. The method comprises the following steps: constructing and training a Fourier coefficient deep belief network model and an upper and lower limit deep belief network model in advance; performing data normalization on the icing condition to be predicted to obtain a normalized icing condition; inputting the normalized icing condition into the Fourier coefficient depth confidence network model and the upper and lower limitdepth confidence network model; substituting ai, bi, xiu and xil into an ice-shaped curve Fourier series expansion formula to obtain a wing-shaped icing ice-shaped curve; the Fourier coefficient deepbelief network model and the upper and lower limit deep belief network model are composed of a plurality of restricted Boltzmann machines and a BP neural network layer. According to the method, the network training time is greatly reduced, the network prediction precision is improved, and the technical problems that gradient disappearance and local minimization are likely to happen to a pure BP neural network are solved.

A method for test pattern compression generates a first test pattern comprising a plurality of bits. The method identifies bits comprising a don't-care bit value in the first test pattern and replaces the identified bit values with random bit values, to generate a second test pattern. The method determines a fault coverage level of the second test pattern. In the event the determined fault coverage level of the second test pattern exceeds a predetermined individual test pattern fault coverage level, for at least one bit position in the second test pattern corresponding to a replaced identified bit value and detecting at least one fault, the method exchanges the don't care value in the bit position in the first test pattern with the bit value in the corresponding bit position in the second test pattern. The method merges subsequent test patterns that increase fault coverage with the second test pattern.

Disclosed herein is a method of generating an encoded data packet over GF(2). The method comprises determining 303 a plurality of data packets in dependence on a Latin rectangle, wherein the plurality of data packets have equal length; and generating 305 an encoded data packet by bitwise XORing the determined plurality of data packets. The efficiency of encoding, decoding, and transmission over a network of data packets are all improved, as well as the security properties of the transmitted information.

The invention discloses a method and a device for obtaining structuring information in layout files, and structuring speed of the layout files in informationization management of the layout files can be improved. The method comprises that start page information corresponding to a current directory entry is determined, first article content of a page corresponding to the start page information is divided into at least one block structure character according to content attribute information, a first block structure character matched with a name character of the current directory entry is searched in each block structure character, first position information in the first article content of the first block structure character is obtained, and start position information of the current directory entry and finish position information of a last directory entry are obtained according to the first position information.

A compression technique compresses interaction data. The interaction data can include a matrix of interaction data used in solving an integral equation. For example, such a matrix of interaction data occurs in the moment method for solving problems in electromagnetics. The interaction data describes the interaction between a source and a tester. In one embodiment, directional sources and/or directional testers are described. The directional sources produce a very weak (or negligible) effect except in selected directional regions. The directional testers are relatively insensitive to an incoming effect except in selected directional regions. Depending on their locations and directional properties, relatively many of the directional sources and directional testers interact weakly (or negligibly). The weak interactions can be effectively removed from the interaction matrix, thereby reducing the effective size of the interaction matrix.

A method of calculating the fast Fourier transform or the inverse fast Fourier transform of a series of N real samples x(n), with N power of two, operating according to a time interleaving algorithm and providing the sample series X(n) in ascending order to index n and using limited calculating storage means. A method of calculating the fast Fourier transform or the inverse fast Fourier transform of a series of N conjugated complex samples X(n), with N power of two, operating according to a frequency interleaving algorithm.

A real-time digital quadrature demodulation method and device for the ultrasonic imaging system are disclosed in this invention. In addition to a multiplying step and a filtering step, the method further comprises a sine and cosine table generating step for generating the sine and cosine table in real time, and a filter parameter generating step for generating corresponding filter parameters in real time to filter signals from the multipliers. The device comprises two multipliers, two filters, a sine and cosine table generating module, a filter parameter generating module, and two parameter memories. The real-time digital quadrature demodulation method and device for the ultrasonic imaging system according to the invention are capable of effectively saving the storage resource, and are easily controllable.

The disclosed determining method for crack front stress intensity factor distribution of a structural member comprises: providing the thermal load, surface force load and body force load, as well as the general weight function base equation acted by any of three loads; dividing the front into N-1 subsegments by N nodes, and using a basic interpolation function N(s) and local variation function N'j(s) for every node j. This invention can determine the factor distribution for curve-type 3D crack with high precision and efficiency by finite modes and interpolation way.

The invention provides a motor vehicle emission factor calculation method based on an urban tunnel, and the method comprises the steps: monitoring pollutants, weather and tunnel traffic volume of a certain urban traffic tunnel through employing real-time automatic online monitoring equipment, and obtaining tunnel basic monitoring data; acquiring tunnel basic parameter data; preprocessing the basicmonitoring data and the basic parameter data; acquiring motor vehicle basic emission factor data of cities in recent two years to eliminate abnormal values of basic parameter data; obtaining a presetvehicle model according to the basic emission factor data of motor vehicles; and according to the preprocessed tunnel basic monitoring data and tunnel basic parameter data, completing emission factor calculation of different vehicle types. According to the motor vehicle emission factor calculation method provided by the invention, the emission factor is calculated by using the basic data monitored by the tunnel, the motor vehicle emission condition of the city where the tunnel is located under the real condition is fully reflected, and meanwhile, the abnormal value of the tunnel basic data is eliminated, so that the motor vehicle emission factors of different vehicle types are obtained.

A technique for enhancing the execution efficiency of simulation of a hybrid system. A continuous system simulator receives a request for evaluation of an event generating conditional expression for an event to be processed by a discrete system simulator, from the discrete system simulator. The event generating conditional expression is evaluated by referring to the value of a first variable describing a continuous system. Until evaluation of the event generating conditional expression indicates true, the continuous system simulator repeats simulation of advancing the current time by a step time interval and evaluation of the event generating conditional expression. When evaluation of the event generating conditional expression indicates true, the continuous system simulator sends current time data and the value of a second variable describing the continuous system which is referred to by the discrete simulator, to the discrete simulator.

The embodiment of the invention belongs to the field of artificial intelligence, is applied to the field of intelligent transportation, and relates to a population flow prediction method based on intelligent decision. The method comprises the steps of obtaining an urban map; dividing the city map, and generating a city node network by taking a city region in the city map as a node; acquiring historical population information of each node in the urban node network; calculating historical population information of each node through a graph neural network to obtain spatial features and time sequence features of each node; generating a point embedding vector of each node according to the spatial features and the time sequence features; and generating population flow information based on the point embedding vector; wherein the population flow information serves as a node connecting line to be connected with each node. The invention further provides a population flow prediction device basedon the intelligent decision, computer equipment and a storage medium. In addition, the invention also relates to a blockchain technology, and the historical population information can be stored in theblockchain. According to the invention, the population flow prediction accuracy is improved.

The invention provides a pipe vibration response function fitting method under different environmental conditions of an air conditioner, belonging to the field of frequency conversion air conditioners. The main points are as follows: the compressor suction and discharge port pressures at different frequency points under any mode of operation corresponding to outdoor ambient temperature of the airconditioner are measured, and the compressor suction and discharge port pressures at other ambient temperatures are obtained by fitting software; calculating the gas resistance torque of the compressor and the effective driving torque of the compressor shaft compressing refrigerant, and calculating the rotational inertia torque of the compressor shaft according to the calculated gas resistance torque of the compressor and the effective driving torque of the compressor shaft compressing refrigerant; the calculated rotational inertia moment of the compressor shaft is transformed by FFT, and themoment amplitude, initial phase and constant of each harmonic component of the rotational inertia moment of the compressor shaft at the operating frequency point are obtained. According to the torqueharmonics obtained from the solution, the vibration response function of compressor pipes under different environmental conditions is obtained by fitting.

Methods and apparatuses for 3D tomographic imaging of objects such as soft-tissues in humans are disclosed. They are similar to the Magnetic Resonance Imaging (MRI) methods and apparatuses but they are based on the new Field Paradigm founded on the principle that the field intensity distribution in a 3D volume space uniquely determines the 3D density distribution of the field emission source and vice versa. The object to be imaged is first magnetized by a polarizing magnetic field pulse. The magnetization of the object is specified by a 3D spatial Magnetic Density Image (MDI) that needs to be determined. The magnetic field due to the magnetized object is measured in a 3D volume space that extends in all directions and in particular substantially along the radial direction from the center of the object being imaged. Further, magnetic field intensity may be measured along multiple directions at each point. This measured data captures all the available information and facilitates fast and accurate 3D image reconstruction. This is unlike prior art where measurements are made only on a surface at a nearly constant radial distance from the center of the target object. Therefore useful and available data is ignored and not measured in prior art. Consequently, prior art does not provide a fast and accurate solution to 3D imaging. The methods and apparatuses of the present invention are combined with frequency and phase encoding techniques of MRI in prior art to achieve different trade-offs.

The invention discloses an air quality prediction method based on a variational recurrent neural network and a self-attention mechanism, and the method comprises the following steps: obtaining and preprocessing air quality data and weather data, and constructing input data and output data, wherein the input data of the encoder comprises pollutant data and historical meteorological data. The input data of the decoder comprises the output result of the encoder, weather forecast data and pollutant data at the last moment. And the data is segmented into training data and test data. The Seq2Seq model is trained by using the training data; and a prediction result is tested by using the test data. According to the method, the Seq2Seq model is used for predicting the air quality. Firstly, a self-attention mechanism is introduced in the input stage of an encoder, so that feature factors are selected, the long-term dependency relationship is grasped, a VRNN is used for replacing an RNN of a decoder in a model, the complex dependency relationship between different time steps of an output end is further captured, error accumulation is effectively reduced, and the prediction precision is improved.