422results about How to "Strong randomness" patented technology

The invention provides a rock structural surface occurrence automatic digital measuring method integrated with laser-point cloud and digital imaging. By utilization of a photogrammetric technology, a mixed global and local threshold method is employed to extract contour lines off path lines, joint path lines are extracted through skeleton extraction and path line marking, and combined with other image processing methods, and information obtaining of rock joint path line occurrence is achieved. Finally, according to the distance of the path lines to the structural surfaces, the position relations of the path lines and the structural surfaces are determined, and the path lines and the structural surfaces are subjected to combining and grouping, and occurrence of each group is employed to represent rock structural surface occurrence. Laser-point cloud and digital imaging measuring methods are integrated, rapid, efficient, non-contact and landform disregard properties of the two measuring methods are utilized fully, the measuring accuracy is raised, and the provided method has advantages of high automation degree, strong universality, comprehensive description and the like.

The invention relates to a hydraulic model with the international patent classification (IPC) of E02B 1/02, in particular to a high sediment concentration waterflood river bed tearing simulation test method. The method utilizes a special test device and adopts flyash as model sand, wherein extremely fine flyash with a median diameter being smaller than 0.01mm is adopted to simulate an adhesive mud layer of deposits, fine flyash with a median diameter of 0.03mm is adopted to simulate suspended sand, and coarse particle flyash with a median diameter of 0.05mm is adopted to simulate loose bed sand. The invention provides a feasible test method for researching the problems of a river bed tearing phenomenon of the Huang river and the breaking of consolidation cohesive soil of the water conservancy industry, lays foundations for recognizing the generation mechanism of the river bed tearing phenomenon and establishing a scouring index of river bed tearing, and plays a certain active role in the development of the subject of river sediments.

The invention discloses a robot path planning method based on the artificial fish school algorithm for improving foraging behavior. Environment modeling based on the free-space method has the advantages of being simple in modeling and easy to achieve. Free link lines are established with the free-space method, and the midpoints on the free link lines are connected to form a robot free mobile network; the free mobile network is searched with the Dijkstra algorithm to obtain the local shortest path, the artificial fish school algorithm for improving foraging behavior is then used for further optimizing the algorithm which is searched for, and the global shortest path is finally obtained. The robot path planning method and device are high in searching efficiency.

The invention provides an image encryption method based on a Feistel network and dynamic DNA encoding. The method comprises the following steps: computing a Hash value of an original plaintext image by using a Keccak algorithm, and taking the Hash value as an initial value of a hyper-chaotic Chen system, generating a Hill encryption matrix by using a chaotic sequence generated by the hyper-chaoticChen system so as to replace pixels of an original image; realizing image pixel value diffusion by using the DNA encoding operation as a F function of the Feistel network, and a DNA sequence base asa key of the Feistel network; and performing further diffusion through ciphertext feedback. Through three turns of chaotic scrambling-DNA encoding-Feistel conversion-DNA decoding, the ciphertext randomness and attack resistance are stronger, the scrambling conversion of the image pixel location and the diffusion of the pixel value are realized, and the encryption turn is reduced due to repeated scrambling and DNA encoding and decoding. Through the image encryption method provided by the invention, the image can be effectively encrypted, the plaintext sensitivity is strong, the plaintext attack, the differential attack and the statistical attack can be effectively resisted

The invention provides a control method of a cell energy storage system inhibiting renewable energy output power fluctuation. The control method is characterized in that: based on a low pass filtering principle, through a first order Butterworth filter, a renewable energy output power value is subjected to filtering, a renewable energy output power object value is obtained, by utilizing charge and discharge control of the cell energy storage system, a difference between the renewable energy output power object value and a renewable energy output power measured value is compensated, and a purpose of inhibiting the renewable energy output power fluctuation is achieved. According to the invention, based on a basic filtering principle, by utilizing a good renewable energy output power inhibition effect and adding of an SOC (state of charge) feedback link, over charge and over discharge of a cell are avoided, innovation is carried out, when adding the SOC feedback link, through adjusting a size of a filtering time constant, an output power of the energy storage system is changed indirectly, thus when inhibiting the inhibiting the renewable energy output power fluctuation, the over charge and over discharge of the cell are effectively avoided, stable operation of the cell energy storage system is maintained, and a service life of the cell is prolonged.

The invention discloses a high-position accuracy online cable fault detecting/locating device based on an SSTDR method. The device comprises an FPGA module, a DA conversion module, an AD conversion module, a conditioning circuit, a channel selection module and a plurality of non-contact coupling channels; the device has the advantages that the center frequency of a detection signal is increased so that the location error can be reduced, and as a chaotic sequence is taken as spreading codes, the number of detection sequences is greatly increased and the fault detection on complex multiple cables can be realized; an inductive non-contact coupling device is adopted to realize the directional coupling of the high-frequency detection signals without affecting the normal work of the system.

The invention provides an annotation data generation method and device and a computer readable storage medium. The method comprises following steps of S100: acquiring a data universal set and annotated annotation data sets included in the data universal set; S200: analyzing data characteristics of the annotation data sets and manufacturing pseudo-data sets satisfying the data characteristics according to the data characteristics; S300: based on a GAN neural network, expanding the pseudo-data sets so as to form an expanded data sets; S400: identifying whether data in the expanded data sets needs to be annotated, and screening annotated data so as to form a training data set; S500: carrying out neural network trainings on the training data set so as to form a training model; and S600: basedon the training model, cleaning data in the data universal set except for the data in the annotation data sets, annotating data satisfying the training model and arranging the data in the annotation data sets. Thus, based on little data, a training data set which highly matches the sample data and is highly random can be rapidly and highly efficiently generated, and data quantity of the annotationdata is improved.

The invention provides a color image compression and encryption method based on compressed sensing and a double random encryption mechanism. The method comprises the following steps: firstly, decomposing a plaintext image into R, G and B components; the method comprises the following steps: firstly, obtaining a sparse coefficient matrix, then respectively performing DWT conversion on the sparse coefficient matrix, then performing double random position scrambling on the sparse coefficient matrix by using index vectors D1, D2, D3 and D4, then performing compression measurement and quantification on the scrambled matrix, performing simultaneous double random pixel value diffusion among R, G and B components and inside the components on the quantified matrix, and finally obtaining a ciphertext image. Parameters and initial values of a four-wing hyper-chaotic system and a Logistic-Tent chaotic system are generated by using plaintext image information and an external key, and then the parameters and the initial values are substituted into the Logistic-Tent chaotic system to generate a chaotic sequence to construct a measurement matrix; and then substituting the parameters and the initial values into a four-wing hyperchaotic system, and sorting the four generated chaotic sequences to obtain four index vectors which are respectively used for double random position scrambling and diffusion.

The invention relates to a color image encryption method based on Latin square scrambling. Plaintext keys r1, g1 and b1 are calculated through utilization of R, G and B components of a color plaintextimage, an initial value and a parameter obtained through calculation based on the keys are substituted into a chaotic system, and three groups of chaotic sequences are generated; the chaotic sequences for scrambling and diffusion are selected through utilization of a chaotic sequence selection mechanism based on the plaintext and digital arrangement; and a final ciphertext image is obtained through adoption of a block scrambling policy based on a Latin square and the chaotic sequences, and diffusion operation based on the plaintext and a scrambled image. The encryption method is closely related to the plaintext, so the plaintext attack resistance is improved. The employed chaotic system is an improved chaotic system, a chaotic characteristic is good, the randomness is high and a key spaceis great, so a security level is further improved. A simulation result and safety analysis show that according to the encryption provided by the invention, an image complete encryption demand can besatisfied, the encryption efficiency is high, and the robustness is high.

A constructing method of difference frequency hopping G function is provided. Data X<n> transmitted presently and frequency of previous jump f<n-1> obtain frequency hopping code sequence A<n> corresponding to frequency of present difference frequency hopping. Number of frequency of present difference frequency hopping is N. the frequency hopping code sequence generator generates pseudorandom frequency hopping code sequence B<n>. Processing module N pulse for A<n> and B<n>, which obtains new difference frequency hopping code C<n>, controlling the digital frequency synthesizer to output final difference frequency hopping signal f<n> according to corresponding frequency control character K output by C<n>. the invention fully adopts present difference frequency hopping G function arithmetic and frequency hopping code sequence technology without altering structure of G function arithmetic; compared with the difference frequency hopping technology, only the frequency hopping code sequence generator and the module N pulse module are added with simple structure and easy implementation; finally output difference frequency hopping signal satisfies requirements of randomicity, one-dimension evenness and two-dimension continuity completely, having greater anti-interruption and anti-capturing performances.

The invention provides a method for generating a chaos sequence based on fractional order discrete mapping. Fractional order discretization is conducted on a classical chaos equation, so that fractional order mapping is obtained, and a chaos signal is generated through the mapping. System parameters in the method are more and a signal track is more complex, so that a signal provided by the method has the advantages of being high in randomness and complexity degree and the method can be used in the fields of data encryption, confidential communication, information safety and the like.

The invention discloses a low power consumption digital true random source. The low power consumption digital true random source comprises a high speed random oscillator signal generator, an alternative oscillation stop control unit, a clock generator and a sampling unit. The alternative oscillation stop control unit is adopted to control the high speed random oscillator signal generator, so as to generate a high speed oscillator signal, after sampling is carried out by the sampling unit, high speed high-entropy random bit stream is output. When system reset control signal is effective, the alternative oscillation stop control unit and the sampling unit can be all reset, and the high speed random oscillator signal generator and the oscillator in the clock generator are all stopped. The invention is implemented by adopting standard digital circuit unit, structure is compact, relative resource consumption is less, and power consumption is reduced by controlling a loop circuit oscillator. The invention is applicable to digital integrated circuit, has flexible application mode and strong design generality and is applicable to a plurality of implementation methods of digital integrated circuit such as FPGA and ASIC.

The invention relates to a mobile positioning system and a method thereof. The system communicates with telecom network and Zigbee wireless network between a positioning device and a positioning object, respectively receives the positioning signals of a globe positioning system, and adopts the telecom network to transmit their position information. The mobile positioning system and method combines GPS and the wireless positioning method based on Zigbee wireless network, wherein the positioning device is arranged at mobile type or distribution type to be used as the positioning reference point of a positioning object to obtain positioning reference data, and adopts positioning calculation to obtain the position of the positioning object. The invention overcomes the defects of GPS such as low positioning precision and high investment at special field; and resolves the problem that Zigbee positioning method needs to establish many positioning reference nodes and relative maintenance. The invention is suitable for positioning the positioning objects widely distributed or the network of strong mobility and randomness.

The invention discloses a dynamic target detection method based on brightness flicker correction and an IP camera. Firstly, the brightness flicker correction technology is utilized for correcting a global or local flicker in a frame image with the brightness flicker, and then a dynamic target is classified out through a background model based on the random theory. The reliable dynamic target detection method is provided under the condition of various and changeful light sources in the indoor environment. According to the scheme, the method can be applicable to intelligent monitor on the occasions of various complex light sources like televisions and electric lamps under the indoor environment.

The invention discloses a nonlinear double-image encryption method based on chaos and amplitude-phase encoding. The nonlinear double-image encryption method comprises the steps of: 1) generating a chaotic sequence and a phase mask by using self-adaptive adjustment parameters; 2) preprocessing two original images to synthesize them into complex signals; 3) performing modulation, discrete complex order random transformation and amplitude-phase separation on the complex signals obtained in the step 2); 4) encoding amplitude E01; 5) encoding phase E02; 6) and synthesizing the new amplitude and thenew phase to obtain a final ciphertext. The nonlinear double-image encryption method can realize double-image encryption, has high security and fast encryption speed, and has good performance againstvarious attacks.

A distributed photovoltaic grid-connected acceptable capacity calculating method based on improved Big Bang-Big Crunch. The distributed photovoltaic grid-connected acceptable capacity calculating method based on the improved Big Bang-Big Crunch comprises the steps of basic data acquisition, model building, algorithm parameter initialization, initial fragment solution generation, fitness evaluation, gravitational solution generation, explosion iteration cycle, cycle termination judgment and the like. According to the present invention, modeling is carried out on the problem of the maximum accessibility capacity of distributed photovoltaics in a power distribution system fro the angle of planning of a power distribution network so as to establish a grid-connected photovoltaic maximum accessibility capacity model which uses the distributed photovoltaic access capacity maximization as a target function and uses a system power flow constraint, an operating voltage horizontal constraint, a branch circuit current limitation, a voltage harmonic distortion rate limitation, a short circuit current limitation and the like as constraint conditions; solution is carried out by an improved Big Bang-BIg Crunch optimal searching method; and the distributed photovoltaic grid-connected acceptable capacity calculating method can provide guidance for planning, building and operation of a photovoltaic access system.

The invention belongs to the technical field of the optical communication encryption, and specifically relates to an encryption and decryption method of an OFDM-PON system based on a cell neural network. The encryption method comprises the following steps: constructing a dynamic key set of the cell neural network, performing summation and modulo operation on input digital signals, and taking an obtained value as an index value of the dynamic key set of the cell neural network; determining an initial value of the cell neural network through the index value, thereby generating a corresponding chaotic sequence as a synchronization sequence of the OFDM-PON system; performing plaintext-chosen attack resistant encryption on the original data by utilizing the chaotic sequence generated by the cell neural network and the index value; and entering optical fiber transmission after the OFDM modulation and electro-optical modulation conversion. By utilizing the chaotic characteristic of the cell neural network, multiple initial values are combined as a key set, the key is randomly selected every time to improve the dynamic feature of the key; and a plaintext-chosen attack resistant encryptionscheme is constructed by utilizing the randomness of plaintext sending, and the security is high.

The invention discloses an inventory optimization method based on probability demand distribution. The method comprises the following steps of: an existing enterprise informatization management platform is relied on. inventory remainders of the commodities are extracted; warehouse entry and exit details, Sales order, purchasing multi-dimensional data such as advanced stage and the like; the methodcomprises the following steps: firstly, constructing probability distribution of warehouse-out quantity in a purchasing advance LT; if the warehouse-out quantity in the LT day is q (q is greater than0); historical warehouse-out frequency distribution is counted; according to the invention, a required probability density function f (q) can be obtained, so that an expected value corresponding to acertain probability value alpha is obtained, wherein 0 < =alpha < = 1. Therefore, a function relationship between the probability value and the demand prediction value is established. And then determining a target satisfaction rate Sopt, calculating a simulation satisfaction rate Si according to the F (alpha) traversal probability value alphai until Si is greater than or equal to the Sopt, and training an optimal probability and a corresponding demand prediction value. According to the method, the prediction idea of demand probability distribution is creatively introduced, and inventory optimization benefit maximization is achieved under the condition that the satisfaction rate is guaranteed for the pain point problems of large commodity demand fluctuation and high prediction difficulty of current enterprises.

A reflecting internal storage network node card shared storage zone data mapping error rate testing method comprises fourteen steps. Comprehensive testing can be carried out on a local storage zone reading-writing link, a bottom layer network protocol firmware processing link and a physical layer transmitting-receiving link in a shared storage zone data mapping process of all node cards in a reflecting internal storage network. Accurate error rate parameter indexes can be obtained in real time, and a text-form testing report can be given. Data for testing used in the method are abundant in changing and high in randomness, a reflecting internal storage network practical working situation can be better simulated, and higher reliability is achieved. Testing is started by a testing sending node card, all the node cards in the whole network can be tested at the same time, covering performance is good, testing efficiency is greatly improved, and time consumed during testing is effectively shortened.

The invention provides a space network cross-domain anonymous identity authentication method based on hyper-chaos encryption, relates to the technology of space information network, and solves the problem that the security mechanism applied in the conventional network cannot be directly applied to space network, and space cross-domain identity authentication cannot be realized. Provided is a space network cross-domain anonymous identity authentication method based on hyper-chaos encryption. The method includes two parts: a register stage and an authentication stage, a chaos algorithm is sensitive to initial conditions and control parameters, the structure is complex, prediction and analysis are difficult, and pseudo random sequences with good randomness and complexity are provided so that the chaos is applicable to encryption. A quantum cellular neural network is a cellular neural network structure coupling via quantum cellular neural network automata, complex linear dynamic features are obtained from the polarizability and quantum phase of each quantum cellular automaton, a nano-scale hyper-chaos oscillator can be constructed, the power consumption is low, the integration level is high, and the application requirement of space network satellite nodes can be better met.

The invention relates to a safe box with a dynamic password function. The safe box is provided with a box body, an electronic lock and a controller, wherein the electronic lock is configured to receive an unlocking signal from the controller so that unlocking can be achieved; and the controller is configured to execute the following actions of receiving a first dynamic password from a user which is generated by a cipherer through a first seed and an encryption algorithm under the condition that the user is legal, generating a second dynamic password through the first seed and the encryption algorithm, comparing the first dynamic password with the second dynamic password, and sending the unlocking signal to the electronic lock under the condition that the first dynamic password and the second dynamic password are consistent. The invention further relates to an operating method of the safe box. By means of the safe box or the method, safety can be improved by using the dynamic passwords,meanwhile, a complex decryption procedure can be avoided, and thus the structure of the controller is simplified and cost is lowered.

The invention provides a batch out-of-order random number generation method based on a single-chip microcomputer. The method includes the steps that a random and no-repetition out-of-order data table with the length of 256 bytes is established, adjacent data in the out-of-order data table are not continuous, data in the out-of-order data table do not repeat, and the data are out of order; according to the length of random numbers to be generated, the number of out-of-order data tables to be produced is determined; a plurality of data seeds are obtained through random access memory data of the single-chip microcomputer; when the random numbers are generated in batches, each byte of data are made to change through a pre-determined algorithm. The random number generation mode is high in randomness, the random numbers in batches are generated, the adjacent data are out of order, and confusion caused by similarity is not prone to occurrence. Besides, the random numbers in batches will not repeat, and the method is an ideal method for generating out-of-order random IDs in batches.