30 results about "Chaos model" patented technology

A computer-implemented method of public opinion poll initiation and public opinion data collection for using non-deterministic mathematical models (e.g. chaos model), independent of third parties involvement (e.g., campaign managers, marketers, pollsters, etc.) is provided. In exemplary embodiments, the method may comprise receiving a post and an instruction for public opinion poll from a first user; initiating the public opinion poll and displaying it to a second user(s) / the public, receiving an initial answer to the public opinion poll from the second user(s); generating results of the public opinion poll based on the initial answer; receiving an alternative answer(s) from the second user(s) if wished by the second users, updating the results of the public opinion poll based on the alternative answer(s); and displaying a real-time feed of the public opinion poll results, the real-time feed updated when public opinion poll answers are entered or changed by a user.

The invention belongs to the technical field of chaos systems, and discloses a high-order novel three-dimensional chaos model and a circuit thereof. The circuit of the high-order novel three-dimensional chaos model comprises three channel circuits. The circuit of the high-order novel three-dimensional chaos model consists of thirty-nine elements, including nine 3554BM operational amplifiers, six multiplying units, three capacitors and twenty-one resistors. The high-order novel three-dimensional chaos circuit disclosed by the invention has a plurality of balance points and a high-order non-linear term, is more complex and abundant in dynamic behaviors, and can be applied to non-linear circuit course experiments. Moreover, the defect that encrypted information of an existing Chaos system isliable to decryption can be overcome, and a basis is laid for the application of a Chaos system.

The invention provides a power system chaos model monitoring method based on a Lyapunov exponent. The method is a prediction method which carries out modeling on the basis of a maximum Lyapunov exponent [Lambda]1. The model favorably keeps the statistical property of a power hour load phase space attractor, is high in prediction accuracy, has a satisfactory prediction effect, and can effectively monitor the change rule of the power hour load so as to guarantee the safe and economic operation of the power system.

The invention provides a traffic flow prediction parallel method based on chaos and reinforcement learning. Comprising the following steps: 1, carrying out preprocessing and chaotic analysis on data, generating a comparison chaotic time sequence through a chaotic model, and carrying out reconstruction, standardization and data set division; 2, performing reinforcement learning training and comparison environment construction by using the preprocessed data; 3, constructing an act-critic neural network model to learn an intelligent agent strategy and judge a behavior value; and 4, generating a plurality of training models by the slave process under the parallel framework to interact with the environment, realizing parallel updating through dispersion comparison and reward with the central neural network model of the host process, and finally performing prediction verification by the host process. According to the method, the traffic flow is predicted by adopting reinforcement learning and a chaotic time sequence, and compared with a traditional statistical prediction method, the method has higher interpretability and online adjustment learning ability; parallel reinforcement learning can learn and adjust more quickly, and an optimal prediction result is generated.

The invention belongs to the technical field of chaotic systems, and discloses a new high-order three-dimensional chaos model and its circuit. The circuit of the high-order new three-dimensional chaos model includes three channel circuits; the circuit of the high-order new three-dimensional chaos model consists of 39 Components, including nine 3554BM operational amplifiers, six multipliers, three capacitors and 21 resistors. The high-order new three-dimensional chaotic circuit of the present invention has multiple equilibrium points and high-order nonlinear terms, and its dynamic behavior is more complex and rich. It can not only be applied to nonlinear circuit course experiments, but also overcome the information encryption of existing chaotic systems The disadvantage of being easily deciphered provides a basis for the application of chaotic systems.

The invention discloses a pipeline weak leakage detecting device and a detecting method based on a fuzzy hyperbolic chaos model and belongs to the technical field of pipeline detection. Two-stage detection is used, the first-stage detection is abnormal signal detection based on a neural network to mark abnormal signals, and the second-stage detection detects the abnormal signals marked by the first-state detection. By the two-stage detection, the first-stage primary detection is fast, the second-stage detection detects the abnormal signals marked by the first-state detection, and leakage detection capability is increased. The two-stage detection can be implemented on a FPGA (field programmable gate array) hardware platform, and overall system response speed is increased. By the double coupling time-varying delay fuzzy hyperbolic chaos model of the second-stage detection, initial value sensitivity and noise immunity of the chaos system is utilized to increase identification capability of weak leakage signals submerged in noise so as to highlight chaos phenomenon, system requirements for signal to noise ratio is lowered, and weak leakage detection is achieved.

An image encryption method based on a three-dimensional scrambling model and chaos belongs to the field of information encryption. At present, with the rapid development of multimedia communication technology, how to protect the security of image content has aroused the common concern of industry and academia. The invention proposes an image encryption method based on three-dimensional scrambling model and chaos. Inspired by the Rubik's Cube game, on the basis of defining row scrambling, column scrambling and plane scrambling, a three-dimensional image scrambling model is established. First, the pixels of the original image are scrambled using the three-dimensional scrambling model; then, using chaos, an exclusive OR (XOR) operation is performed on the scrambling result to generate an encrypted image. Experiments show that the algorithm has good encryption effect, large key space, strong key sensitivity, high security and high efficiency.

The invention discloses an encrypted optical transmission method and system based on a four-dimensional memristor condition symmetric chaotic system and a memristor neural network, and belongs to the technical field of optical transmission. The method comprises the following steps: generating a logistic chaos sequence through a logistic chaos model, and selecting a certain chaos sequence or attractor in a key space library pre-established through a four-dimensional memristor condition symmetric chaos system by using the logistic chaos sequence; inputting the original sequence and the selected chaotic sequence or attractor into a memristor neural network for XOR encryption to obtain encrypted data, modulating the encrypted data, and transmitting the modulated encrypted data into a channel for transmission; the received encrypted data are demodulated and decrypted, and optical transmission is completed; multi-layer encryption of data is realized, the security performance of optical transmission is improved, and the defect that the transmission security is less considered in the prior art is overcome; the overall complexity is further reduced, and the method is very suitable for an OFDM-PON scene.

The present invention relates to a document integrity authentication method based on an interleaving watermark and a biological feature, a chaos model is adopted to generate an authentication code, and the biological information of a deliverer is generated to a biological feature code streaming after being extracted through the feature. The authentication code and the biological feature code streaming are returned to the deliverer after a plurality of interleaving treatments under the control of a third party, and then the deliverer inserts the interleaving information in the document. When being authenticated, on the one hand, the extracted authentication code and a generated reference sequence are compared, the integrity of the document content is determined, and a tampered area is positioned; on the other hand, the extracted biological feature is identified, the identity of the deliverer is determined, and a disavowal behavior is prevented. The present invention can authenticate the integrality of the document, and can detect and position a tampered location. The different requirements of users to the precision are supported, and the positioning precision is adjustable and controllable. An authentication result is given by error, and the tampered location can be directly and visually reflected. The identity of the deliver can be determined, and the disavowal behavior is prevented.

The present invention relates to a DC-DC converter chaos control method, system and medium based on super-twisting control. The method includes mathematical modeling of the DC-DC converter to obtain the chaos model of the state variable of the DC-DC converter Obtain the chaotic energy storage value in the chaotic state in the chaotic model, obtain the energy storage constant value in the steady state in the chaotic model according to the chaotic energy storage value, and according to the chaotic energy storage value and the storage The error variable can be determined by a constant value; based on the super twist control method, an estimated error amount is obtained according to the error variable, and an equivalent sliding mode controller is designed according to the error variable and the estimated error amount to obtain the equivalent A control signal of a sliding mode controller; the DC-DC converter is controlled according to the control signal. The present invention can effectively control the DC-DC converter in the chaotic state to orbit in the 1-period state, effectively eliminate the chaotic phenomenon, have faster dynamic response, stronger robustness, and lower voltage ripple.

The invention discloses an underwater acoustic communication information source channel joint decoding method, which comprises the following steps: acquiring information data sent by an encoding end,demodulating the information data, and determining a receiving symbol sequence and an information source contribution degree, the information source contribution degree being a ratio of redundancy ofa sending information source sequence to a redundancy mean value; generating a joint decoding tree by utilizing a recursive chaos model according to the encoding parameters of the encoding end, and calculating a part of encoding symbol sequences corresponding to each branch in the decoding tree and a part of information sequences corresponding to decoding paths in the decoding tree layer by layer;calculating a branch metric value of eac information sequence of the decoding tree by adopting an information source channel joint maximum posteriori probability criterion and combining noise energy,information source prior information, the information source contribution degree and the receiving symbol sequence; and calculating a path metric sum value corresponding to each branch in the decoding tree, and selecting the branch corresponding to the maximum path metric sum value to obtain a decoding information sequence. According to the method, the correlation between signal source symbols isfully utilized, channel decoding is corrected, and the decoding performance of underwater acoustic communication is improved.

The invention discloses a chaotic encryption method based on three-dimensional probability shaping. The Lenz chaos model masks the constellation diagram formed by the three-dimensional probability; among them, according to the different distances from each constellation point to the origin, the Chua's chaotic model and the Lorentz model are used for masking, so that the three-dimensional probability forming constellation diagram becomes two spherical. The invention can greatly reduce the transmission power of the whole system after the spherical three-dimensional probability shaping, and the new carrier wave after the probability shaping will have a Gaussian energy distribution, which is more suitable for the transmission of optical signals in the optical fiber channel; using Chua's circuit model and Compared with the traditional masking method, the Lorentz model for chaotic mapping has a good encryption effect, and provides a larger key space and greater flexibility.

The invention relates to an image encryption method based on a three-dimensional composite scrambling model and chaos, which belongs to the field of information encryption. The current network transmission security problem is becoming more and more serious. In order to protect the network interactive image content, the present invention proposes an image encryption method based on a three-dimensional composite scrambling model and chaos. Combining technologies such as bit-plane decomposition, piecewise linear chaotic mapping and two-dimensional Zigzag transformation, a three-dimensional compound scrambling model is established on the basis of defining block internal scrambling and block scrambling. The model is used to scramble the pixels of the original image, and then the Chenchao system and XOR operation are used to diffuse the scrambled image to obtain an encrypted image. Experiments show that the algorithm has good encryption effect, high security and high efficiency.