167 results about "State function" patented technology

The invention promotes piezoelectric effects in carbon-based life forms using specific geometries, ratios, frequencies and combinations therein using associated vibrational states functioning in part, as bi-directional holographic transducers between the acoustic and electromagnetic domains.

A method for improving the availability and reliability of a computer clustering system having first and second servers that are connected to each other by a communication link and that each have an associated mass storage device. In one implementation, the method begins when the first server detects a loss of communication over the communication link from the second server to the first server that prevents the servers from communicating with each other. The first server then analyzes the communication link to determine if the communication link is functioning properly. If the communication link is functioning properly, then the first server continues operation, assuming a right to survive without communicating with the second server or with the mass storage device of the first server or with the mass storage device of the second server, and the first server services network requests that would otherwise be serviced by the second server.

A system that automatically obtains Web page-specific scripts to save and restore the state of a Web page. When a user bookmarks or copies a Web page URL to the clipboard, a function is called to create a page state file that is stored together with the current URL to create a bookmark. When the bookmark is loaded or pasted into the location bar of the Web browser, the system reads the URL and page state file, and loads but does not yet display the Web page indicated by the URL of the bookmark. The system then locates the Restore Page State function in the loaded Web page's script, and executes the Restore Page State function on the page state file, resulting in modification to the DOM (Document Object Model) representation of the Web page and display of the Web page to the user based on the modified DOM.

Methods and systems for finding optimal or near optimal solutions for generic optimization problems by an approach to minimizing functions over high-dimensional domains that mathematically model the optimization problems. Embodiments of the disclosed invention receive a mathematical description of a system, in symbolic form, that includes decision variables of various types, including real-number-valued, integer-valued, and Boolean-valued decision variables, and that may also include a variety of constraints on the values of the decision variables, including inequality and equality constraints. The objective function and constraints are incorporated into a global objective function. The global objective function is transformed into a system of differential equations in terms of continuous variables and parameters, so that polynomial-time methods for solving differential equations can be applied to calculate near-optimal solutions for the global objective function. Embodiments of the present invention also provide for distribution and decomposition of global-gradient-descent- field-based optimization methods, by following multiple trajectories, and local-gradient- descent-field-based optimization methods, by using multiple agents, in order to allow for parallel computation and increased computational efficiency. Various embodiments of the present invention further include approaches for relatively continuous adjustment of solutions to optimization problems in time, to respond to various events, changes in priorities, and changes in forecasts, without needing to continuously recalculate optimization solutions de novo. While many embodiments of the present invention are specifically directed to various classes of optimization problems, other embodiments of the present invention provide a more general approach for constructing complex hierarchical computational processes and for optimally or near optimally controlling general computational processes.

A system and method of transmitting media to a plurality of wireless terminals. The method includes forming a group of wireless terminals, and transmitting a group-specific media message to each of the wireless terminals in the group. The method can include forming a location-based group of wireless terminals disposed within a proximity of a location and transmitting a media message to each of the wireless terminals in the location-based group. The method can also include determining the location of the plurality of wireless terminals. The system includes a Location Server for determining the location of the plurality of wireless terminals and an Application Server for grouping the wireless terminals. The system also include a Call State Function Controller for routing calls thereby transmitting the group-specific media messages to the wireless terminals in the group via wireless interfaces.

A method of calculating position data for an airborne aircraft using a GPS-based airborne navigation system includes the processing of a position component of a relative state function by fusing a plurality of different types of measurement data available in the GPS-based system into a weighted least squares algorithm to determine an appropriate covariance matrix for the plurality of different types of measurement data.

The invention relates to a unmanned aerial vehicle (UAV) flight path planning method based on a competitive deep learning network. The method comprises the following steps: carrying out feature information extraction on real-time pictures photographed by a camera, so that a column of feature vectors are obtained; calculating each feature vector to obtain a state function value and a superiority function value, and combining the two values on a combination layer to obtain a state action function value; using the state action function value as an instant state action function value which cooperates with a target value network in construction of a loss function of the network and prediction of a next state, so that total rewards jointly formed by internal rewards and external rewards are obtained; carrying out depth-of-field prediction on the real-time pictures; carrying out calculation to obtain another state action function value; and calculating the gradient of the loss function and carrying out back propagation of the gradient to a current value network for network parameter updating.

The invention provides an identification method of rolling bearing state under variable load of EEMD-Hilbert envelope spectrum in combination with DBN, and belongs to the field of rolling bearing fault detection. The aim is to solve the problems that under the circumstance of training data using one load and test data using other loads, the rolling bearing fault state and the fault extent cannot be accurately identified. Firstly EEMD is conducted on the vibration signals of each status of the rolling bearing, then a sensitive eigenmode state function is selected, and Hilbert transformation is conducted to obtain the envelope spectrum. Finally, new high-dimensional data are built according to the order of the IMF envelope spectrum of the vibration signals of each status, then inputted into the DBN of each hidden layer node structure optimized by the genetic algorithm, and the multi-state recognition of rolling bearing under the variable load is achieved. In the process of 10 state recognition of rolling bearing using DBN, under the circumstance of the training data using one load and the test data using other loads, the EEMD-Hilbert envelope spectrum time domain or frequency-domain amplitude spectrum can better reflect the multiple state characteristics of rolling bearing under different loads, and has a higher recognition rate.

A method for verifying software source code that includes references to program variables includes processing the source code to derive a set of next-state functions representing control flow of the source code. The references to the program variables in the source code are replaced with non-deterministic choices in the next-state functions. The next-state functions including the non-deterministic choices are restricted to produce a finite-state model of the control flow. The finite-state model is then verified to find an error in the source code.

The invention discloses a power supply method of a cold-state function test in a nuclear power plant. The power supply method comprises the steps of: sequentially operating three main pumps respectively used for heating a loop and circulating loop fluid, carrying out load limit on equipment positioned on the same line of inlet wires; when an auxiliary power supply loses power, automatically starting diesel engines on one line of inlet wires to drive upper charging pumps, equipment cooling water systems, important factory water utilization systems and residual heat removal systems on the corresponding lines of inlet wires, supplying power for an uninterrupted power supply on the same line of inlet wires and an uninterrupted power supply on another line of inlet wires through patches by the diesel engines so as to supply power for instrument control equipment, wherein the upper charging pump I is arranged on the A line of inlet wires, and the upper charging pump II and the upper charging pump III are arranged on the B line of inlet wires. By implementing the technical scheme of the invention, under the condition that a main power supply is unusable, the progress of building a nuclear power project is not influenced largely, and safety of tests and equipment is ensured.

The invention relates to a battery set service life prediction method based on probability statistics according to user use habits of different types of battery cars. The method comprises steps that step 1), statistics and analysis on user habits influencing battery car battery service life are carried out, and two important factors include mileage and the battery discharging time; step 2), classification of battery car types is carried out according to voltage values, and a battery car user use habit and battery service association model is established; step 3), parameter estimation is carried out for the association model through utilizing a training sample set; and step 4), to-be-tested new user mileage and the accumulative discharging time are substituted to a corresponding battery service life state function for calculation, a standard quantity of the battery service lift state is acquired, through comparison with a set threshold, a battery service life state conclusion of a present battery car user is acquired.

The invention belongs to the field of structural reliability analysis, and specifically discloses a structural reliability analysis-oriented common dynamic tracking sequence sampling method. The method comprises the following steps of: establishing a structural ultimate state function, and determining a random variable and random variable distribution information; constructing a random point, andconverting the random variable and the random point into a standard normal state to determine a target sampling area; constructing a training point, forming a training data set and establishing a proxy model; dividing the target sampling area and recognizing a most sensitive area; exploiting the most sensitive area to obtain a new training point, updating the training data set and the proxy model,and calculating a prediction failure probability; and calculating maximum relative errors of all the local areas and a variation coefficient of the prediction failure probability, and judging whetherto terminate the sampling or not according to the maximum relative errors and the variation coefficient so as to complete the structural reliability analysis. The method has the advantages of being simple in operation step, high in efficiency and strong in self-adaptability.

The invention discloses a power supply method for a nuclear power plant cold-state function test. The power supply method for a nuclear power plant cold-state function test comprises the following steps of orderly running three main pumps, carrying out load limit of equipment, wherein the equipment and the main pump which is running are arranged in the same incoming line, starting an equipment cooling water system, an essential service water system and a residual heat removal system of one of alternating current emergency switchboards according to demands, wherein the main pump which is running and the one of the alternating current emergency switchboards are not arranged in the same incoming line, using an auxiliary power supply with two independent outer power grid inlet wires to independently supply power to an A row of the alternating current emergency switchboard and a B row of the alternating current emergency switchboard respectively by auxiliary transformers, using the A row of the alternating current emergency switchboard to supply power to a charging pump 1, using the B row of the alternating current emergency switchboard to supply power to a charging pump 2 and a charging pump 3, and keeping simultaneous running of the charging pump 1 and one of the charging pump 2 and the charging pump 3. The power supply method for a nuclear power plant cold-state function test can realize a cold-state function test when a main power supply is not available.

The invention relates to the technical field of mobile communication and discloses a VANET clustering method combining the historical credit of a vehicle with the current state of the vehicle. According to the method, the historical credit R of the vehicle is modeled according to the transmission bandwidth, queue length and time for acting as the cluster head of the vehicle in a historical period; the current state function C of the vehicle is modeled according to the current state information, including the node degree and the speed and position of the vehicle relative to neighboring vehicles, of the vehicle; a utility function U=alpha R + (1-alpha)C is modeled according to the historical credit and the current state function of the vehicle, a candidate cluster head the corresponding utility function of which is the largest is selected to serve as a target cluster head, and then an adjacent user of the target cluster head is selected as a cluster member. By the adoption of the method, a VANET topological structure can be kept stable relatively, and service transmission performance can be optimized.

An ESD protection circuit for hybrid voltage sources includes a first bipolar transistor set and a second bipolar transistor set, a first detection circuit, and a second detection circuit. The ON/OFF states of the first bipolar transistor set and the second bipolar transistor set are determined by the first and the second detection circuit, and the ON/OFF states function to isolate terminals of the different voltage sources and discharge electrostatic charges injected into one of the terminals.

A method and system for entering an order into an onsite computer-based sales management system of a restaurant. A communication link is established between an offsite employee and an order-placing talk box at the restaurant. The communication link is utilized for two-way voice communication so that a food order can be taken from a customer located at the restaurant by the offsite employee. A data communication link is utilized by the offsite employee to enter the order into the onsite computer-based sales management system which facilitates food preparation, fee collection, and the recording of sales. Preferably, the offsite employee utilizes a personal computer to accomplish the stated functions, the communication links are provided via the Internet, and the customer is located within a vehicle adjacent the restaurant when placing his/her order.

The present invention relates to the image processing technology, and concretely provides a resting state function magnetic resonance image data classification method based on a high-order super network. The problem is solved that the traditional magnetic resonance image data classification method is low in classification accuracy. The resting state function magnetic resonance image data classification method based on the high-order super network comprises the following steps: the step S1: performing preprocessing of the resting state function magnetic resonance image; the step S2: performing time window segment of the average time sequence of each brain region; the step S3: calculating the Pearson's correlation coefficients between each two average time sequences of each brain region; the step S4: extracting the values of corresponding elements in the Pearson's correlation matrix; the step S5: employing a sparse linear regression model to construct a high-order super network; the step S6: calculating the local attributes of the high-order super network; the step S7: selecting the classification features and constructing a classifier; and the step S8: performing quantification of the importance degree and the redundancy degree of the selected features. The resting state function magnetic resonance image data classification method based on the high-order super network is suitable for the classification of the magnetic resonance image data.

A semiconductor device in which a nonvolatile memory can normally operate and power saving can be performed with a P-state function, and a driving method of the semiconductor device are provided. The semiconductor device includes: a first circuit configured to control a state including a driving voltage and a clock frequency of a processor core; a first memory circuit and a second memory circuit which store state data; a second circuit generating a power supply voltage and a third circuit generating a clock which are electrically connected to the first circuit; and the processor core electrically connected to the second circuit and the third circuit through a switch. The processor cores includes: a volatile memory; and a nonvolatile memory transmitting and receiving data to/from the first memory.