486 results about "Complex calculation" patented technology

A device is provided for monitoring and controlling various power system device and elements. The device generally includes a communications channel for receiving phasor data associated with a location on the power system. The device further includes a logic engine which performs scalar, vector and/or other complex calculation based on the phasor data to provide control data or an output signal for effecting the various other power system devices or elements to provide local or wide area protection, control, and monitoring to maintain power system stability.

The invention discloses a video classification method based on a mixed convolution and attention mechanism, which solves the problems of complex calculation and low accuracy of the prior art. The method comprises the following steps of: selecting a video classification data set; Segmented sampling of input video; Preprocessing two video segments; Constructing hybrid convolution neural network model; The video mixed convolution feature map is obtained in the direction of temporal dimension. Video Attention Feature Map Obtained by Attention Mechanism Operation; Obtaining a video attention descriptor; Training the end-to-end entire video classification model; Test Video to be Categorized. The invention directly obtains mixed convolution characteristic maps for different video segments, Compared with the method of obtaining optical flow features, the method of obtaining optical flow features reduces the computational burden and improves the speed, introduces the attention mechanism betweendifferent video segments, describes the relationship between different video segments and improves the accuracy and robustness, and is used for video retrieval, video tagging, human-computer interaction, behavior recognition, event detection and anomaly detection.

An equalizer bank with interference reduction is disclosed. The equalizer bank with interference reduction comprises a front-shelving filter, a plurality of peak filters, a rear-shelving filter and a plurality of compensators. The center frequency and the quality factor of each compensator are designed intentionally to be identical to those of the corresponding peak filter. When a user selects a specific gain level, the corresponding parameters that determine the peak filter and the compensator are retrieved directly and a complex calculation is skipped. Therefore, an audio signal can be equalized more efficiently with lower hardware cost.

The invention discloses an interior noise analysis and prediction method of a high speed train. The method comprises the following steps: establishing a train reconditioning train body model, a statistical energy analysis model of a body in white structure and an interior and exterior vocal cavity statistical energy analysis model, and carrying out simplification and subsystem division; obtaining the statistical energy analysis parameters of the train body structure and an interior vocal cavity model, and loading the statistical energy analysis parameters onto a train body structure model plate subsystem and a vocal cavity model subsystem; and obtaining exterior vocal excitation source energy borne on the train body, applying the exterior vocal excitation source energy onto the exterior vocal cavity statistical energy analysis model, causing the exterior vocal excitation source energy to reach an interior vocal cavity after the exterior vocal excitation source energy is attenuated by the sound insulation property of a structural plate in a body in white structure model so as to obtain structural noise energy radiated into the train by the reconditioning train body under the function of the two-line suspension force of a compartment, and then, carrying out interior noise analysis and prediction. The problem that the interior noise of the train is difficult in prediction and the problems of the upper limit boundedness of a frequency domain, complex calculation flow, incomplete motivation consideration in the traditional method are overcome, calculation efficiency and prediction accuracy are improved, and development and test cost is lowered.

The invention relates to calculation expression management. In general terms, a calculation expression is a union of variables, constants, operators functions, delimiter characters and other possible elements, which can be used to product a result. A sample calculation expression is as follows: “2*3+A*(2+B+C)”. The uses of calculation expressions include the creation of formulae, the formation of strings and the implementation of searches for databases. The invention facilitates the implementation of sophisticated calculation expressions. For said purpose, the invention consists in constructing and evaluating calculation expressions from graphical structures representing trees. The graphical structure scan be of various different types.

The invention discloses a bilateral constraint self-adaptive wavebeam forming method for a multiple-input-multiple-output (MIMO) radar, which can constrain both transmitting signals and receiving signals. Firstly, a plurality of transmitting signal data can be recorded, and the corresponding echo signals can be sampled, all vectors which are obtained by the recorded transmitting signal data and the sampled echo signals are respectively ranked by row to form a data matrix, and an optimal weight vector required for forming the wavebeam is calculated by the dual iterative calculation method, finally, the calculated optimal weight can be used to form the wavebeam. The method can overcome the shortcomings of large sample number and complex calculation in traditional self-adaptive wavebeam-forming method which is applied to the MIMO radar. Compared with the traditional self-adaptive wavebeam-forming method, the obtained antenna array pattern is provided with lower side lobe and better wavebeam shape preserving ability. The performance by using the method to perform Doppler frequency detection for movable object after the received MIMO radar data is filtered in spatial field also exceeds that of the traditional self-adaptive wavebeam-forming method.

The invention discloses a method for estimating the modulation frequency and starting frequency of a linear frequency-modulated signal. The method comprises the following steps of: I, acquiring a data sequence x(n), wherein n=0, 1, 2, ellipsis , N-1; II, initializing parameters; III, calculating the power spectrum Yi(12) of a data sequence xi(m) in an ith short time window; IV, estimating the instant frequency estimated value fi of the data sequence in the short time window by adopting a Rife interpolation algorithm; V, judging whether the data sequences of all short time windows are processed, if not, returning to the step III, otherwise, turning to a step VI; VI, calculating a kth iteration weight; VII, judging whether an iteration weight least square linear fitting stop condition is met, if not, returning to the step VI, otherwise, turning to a step VIII; and VIII, calculating modulation frequency and starting frequency parameters. Due to the adoption of the method, the accuracy ofparameter estimation can be increased on the premise of ensuring rapid estimation without performing complex calculation and parameter search.

A rotary-table servo system neural network control method comprises (1) building a mechanical dynamic model of a permanent magnet synchronous motor rotary-table servo system, and initializing the system state, sampling time and relative control parameters; (2) according to the differential mean value theorem, enabling a non-linear input dead zone in the system to linearly approximate to a simple time-varying system, avoiding complex calculation of dead-zone inverse compensation, and finally inferring a rotary-table servo system model provided with an unknown dead zone; (3) at each sampling moment, calculating and controlling a system tracking error, a fast terminal sliding mode surface and a first-order derivative of the system; (4) based on the rotary-table servo system model provided with the unknown dead zone, selecting a neural network approaching unknown trend, designing an adaptive robust finite-time neural network controller according to the system tracking error, the fast terminal sliding mode surface and the first-order derivative of the system, and updating a neural network weight matrix; and (5) entering the next sampling moment, and repetitively executing the steps from (3) to (5).

The invention discloses a multichannel synchronous output calibrating apparatus and method. The calibrating apparatus includes a clock module, a clock time delay module, a waveform generation module,a pulse shaping module, a logic AND gate module, a pulse width measurement module and a synchronous control module, wherein an inter-channel synchronous time delay error is obtained by adopting the pulse shaping module, the logic AND gate module and the pulse width measurement module. The circuit structure is simple, the hardware implementation is easy, the complex calculation is avoided, an ADC circuit and a high-performance calculation module do not need and the cost is low; when the error is corrected, the calibrating apparatus adjusts a time delay and a waveform phase of a sampling block sequentially via the clock time delay module and the waveform generation module until the inter-channel synchronous time delay error reaches to a designed requirement, so the precision is high and thechannel consistency is good; and in additional, since a cooperative manner of precise time delay adjustment and edge inspection is adopted by the pulse width measurement module, a pulse width measurement error is effectively reduced.

The invention provides a health management system based on a wearable sensor. The health management system comprises users, a smart phone, a smart terminal, the wearable sensor and a center server. The wearable sensor comprises a detection sensor, an external interface and a massage oscillator; the smart terminal is provided with a set of calculation formulas; at least one user is set, and the users can be communicated with one another through the smart phone in a data information mode and can monitor health states of the human bodies of others mutually. The health management system has the advantages of being convenient to use and having the monitoring, analyzing, recovery and health care functions, users can communicate with other users through the device, the designed calculation formulas are used for developing a newest sports calculation system, and the defect that an existing technology is inadequate in complex calculation is overcome.

The invention relates to a model-constraint-based mechanical arm energy optimal trajectory planning control method and device. The model-constraint-based mechanical arm energy optimal trajectory planning control method comprises the steps that initial conditions are set and mechanical arm joint angle position description with respect to time is calculated and obtained through a cubic spline interpolation algorithm; on base of the mechanical arm joint angle position description and in combination with a dynamics model, a continuous function of moment with respect to time is obtained; a nonlinear constrained planning model taking mechanical arm movement energy consumption as the optimizing target is established, and in combination with the mechanical arm joint angle position description, thecontinuous function of the moment with respect to time and friction force energy consumption, energy consumption of a target function is solved; and on base of the nonlinear constrained planning model taking mechanical arm movement energy consumption as the optimizing target, the minimum value of energy optimal trajectory planning is iteratively solved adopting a sequential quadratic planning algorithm, and a mechanical arm optimal trajectory is obtained. Compared with the prior art, the model-constraint-based mechanical arm energy optimal trajectory planning control method and device do notneed a large number of complex calculation and have good real-time performance, and energy consumption is least.

A human-oriented object programming system (HOOPS) and its debugger provide an interactive and dynamic modeling system to assist in the incremental generation of symbolic information of computer programs that facilitates the development of complex computer programs such as operating systems and large applications with graphic user interfaces (GUIs). A program is modeled as a collection of units called components. A component represents a single compilable language element such as a class or a function. One major functionality built in HOOPS is the debugger, using symbolic properties. The database stores the components and properties. The debugger, using a GUI, displays to the user the execution state of the program. To display the execution state in terms of the programmer's source code, the debugger demands retrieval and/or generation of the symbolic properties of the program. The compiler, which is responsible for calculating the dependencies associated with a component, uses those dependencies to generate the information stored in symbolic properties. The debugger matches versions of source and object code and retrieves source code configuration as needed. Symbolic properties that are stored in the database can be removed to reduce database and disk memory usage; they can be later reconstructed using the same method of demand-based generation of symbolic information.

Frame synchronization is quickly established to acquire an RF channel in a short time. Numerically controlled oscillators 1-1 to 1-3, complex calculation circuits 2-1 to 2-3, band limit filters 3-1 to 3-3, a selector 7, a phase error detection circuit 9, a loop filter 10, and an AFC circuit 11 compose a carrier regeneration loop for removing the frequency error of the carrier included in an in-phase component I and a quadrant component Q of the baseband signal input to the complex calculation circuits 2-1 to 2-3. A timing generator 6 detects which of frame synchronization pattern detection circuits 5-1 to 5-3 has detected a frame synchronization pattern, provides the selector 7 with a selection signal corresponding to the decision result, and sends a switch signal to the AFC circuit 11. Thereafter, the carrier for removing the frequency error included in the baseband signal is regenerated to acquire an RF channel in a short time.

The invention provides a current full compensation method and a system based on single-phase earth fault. When zero sequence voltage is not in a preset voltage value range, namely, the happened single-phase earth fault is instant ground connection, an arc extinction coil device with high flexibility in high-resistance ground connection can compensate ground connection capacitive current. When thezero sequence voltage is in the preset voltage value range, namely, the happened single-phase earth fault is not instant ground connection, a breaker in a fault phase transfer ground connection deviceconnected with a fault phase is turned off, fault current is converted into earth current, and a compensable compensation device is further utilized to output full compensation fault residual current. The fault current is converted into the earth current, the earth current can serve as tracking compensation signals of the compensable compensation device, and judgment reference is provided for a compensation effect of the compensable compensation device. In addition, the earth current can be determined by measurement; furthermore, measurement is convenient, and complex calculation is avoided;thus, compensation quickness and accuracy are ensured, compensation precision is improved, and fault points are shielded.

The invention discloses a bearing capacity assessment calculation method for a complex region of an existing concrete bridge. The method comprises the steps of determining load and boundary conditions of the complex region for diseases such as reinforcement corrosion, concrete cracking, carbonization and the like appearing in the complex region; establishing a pull rod model and a press rod model of the complex region; according to a detection result, further determining reduction coefficients of a pull rod, a press rod and a joint after the diseases are considered; making a calculation according to a pull rod strength control rule, a press rod strength control rule and a joint strength control rule to obtain a minimum bearing capacity value; and finally, according to a bearing capacity assessment result, determining a reinforcement load transfer model, continuously adjusting the positions of the reinforced pull rod, press rod and joint, or continuously increasing the reinforcement amounts of the pull rod and the press rod until the usage requirements are met. According to the method, the problems of inapplicability of a section method in calculating the complex region of concrete, complex calculation for a finite element method and difficulty in arrangement of reinforcement are solved and the bearing capacity of a complex region of an old bridge can be accurately estimated.

The invention discloses a data encryption and decryption method, device and system. The method comprises the steps of generating a block key, and encrypting to-be-uploaded data according to the blockkey to obtain encrypted data; encrypting the block key according to a public key of a preset target object to obtain an encrypted block key corresponding to the preset target object; and generating uploaded data according to the encrypted data and the encrypted block key, and uploading the uploaded data to a block chain. The technical problems of large workload and complex calculation due to access permission control on the data in the block chain are solved.

The invention relates to a nonlinear cloud editing system. The nonlinear cloud editing system comprises a plurality of client sides, wherein the client sides are connected with two task scheduling distribution servers through a local area network or a wide area network, the task scheduling distribution servers are connected with calculation server clusters which can directly send data to each client side, the calculation server clusters are connected with a data storage matrix, and the data storage matrix is connected with each client side through the local area network or the wide area network. The nonlinear cloud editing system performs all file edit operations of rendering removing and composite packing on the client sides, places complex calculations such as rendering and composite packing on a cloud end for running, and uses whole cloud system resources to the greatest extent, and accordingly resources of the task scheduling distribution servers and the front end client sides are fully used. Due to the fact that an intelligent allocation scheme is used, heavy tasks of rendering and composite calculations are distributed onto each server of each calculation server cluster as uniformly as possible, resources of the calculation server clusters are fully used, and fund utilization rate is improved.

The invention provides a mobile communication terminal which uses both an extrapolation pilot signal and an interpolation pilot signal to assure a high precision in channel estimation and a high synchronous detection capacity without using TPC control or the like. The apparatus includes a first pilot signal despreading section for despreading a first pilot signal spread with a spread code different from a spread code of a communication channel, a second pilot signal despreading section for despreading a second pilot signal inserted in a data signal and spread with a spread code same as the spread code for the data signal, first and second complex calculation sections, and a correction amount output section for outputting a phase correction amount for phase correction using the results from the first and second complex calculation sections. The apparatus can be applied to a mobile communication terminal of, for example, the CDMA communication method.

The invention discloses a non-destructive testing method for the lithium precipitation of a lithium ion battery. The invention tests the precipitation of lithium metal during the charging process, under the characteristics of the precipitation of lithium metal, thereby providing a non-destructive and effective method for the selection and the control of the charging strategy. The specific steps are as follows: performing a constant current charging on the battery to-be-measured; and then performing an intermittent electrochemical excitation on the battery; and analyzing the relationship between the battery voltage change and the time, if a transition phenomenon occurs in the rate of change of the difference in the voltage of the lithium ion battery to-be-measured before and after the electrochemical excitation, then the phenomenon indicates that the lithium ion battery has a lithium precipitation process. According to the non-destructive testing method for the lithium precipitation ofthe lithium ion battery, the method is simple and feasible in operation, does not need a complex calculation process; is suitable for different types of lithium-ion batteries; can be used for the testof the precipitation of the lithium metal during the power battery charging; and can also provide a reference basis for the design optimization of a battery cell.