32results about How to "Good statistical effect" patented technology

The invention discloses a visitor flowrate statistic method, and belongs to the technical field of video monitoring and image processing and analysis. The method comprises the following steps of: calculating gradient information of an input video image; carrying out background updating and gradient foreground extraction on input data which takes the gradient information as a background difference; carrying out gradient weighted Hough transformation on an obtained gradient foreground picture; determining each head in the current image; tracing the detected head and detecting the head again by adoption of a head general classifier so as to form a movement confidence track of a head target; self-adaptively setting a target filtration and fusion threshold value according to the size and movement direction of the head in the movement process; and finally carrying out visitor flowrate statistic according to the evaluation and direction of the movement confidence track evaluation of the head target. The visitor flowrate statistic method provided by the invention is stable and correct in counting and is capable of achieving an ideal statistic effect under various conditions.

The invention discloses a virtual optical encryption method based on chaotic mapping and belongs to the field of information security technology and non-mathematical encryption and decryption technology. Random templates of key parameters are generated through spatial-temporal chaotic mapping, system security is enhanced and an information encryption method based on a virtual optical system is formed. Aiming at the most important problem in a virtual optical encryption system, namely, generation of the random templates, the method is based on the spatial-temporal chaotic mapping and the random templates with fine statistical performance are generated. Combining the random templates with other key parameters in the virtual optical encryption system, an encrypted ciphertext is obtained by calculating discrete Fresnel transform of a plaintext and the random templates and discretion of complex amplitude transmittance function of a lens. A decrypted plaintext is obtained by calculating reverse Fresnel transform.

The invention discloses a fillet weld tracking system and method based on ultrasonic oscillatory scanning. The fillet weld tracking system and method mainly solve the technical problems that an existing welding seam tracking system is complicated and overloaded in structure and operation, high in cost and unstable in tracking and are mainly suitable for automatic welding of fillet welds. According to the system, an ultrasonic sensor is utilized, and a scanning signal is output while oscillation is conducted; a discrete signal collecting and processing device is used for conducting sampling and filtering amplification processing; a data fitting processing device is used for conducting data fitting on a sampled signal, and the fillet weld center is recognized through a weighted least square method; a correcting control device adopts feedforward and feedback intelligent adjustment according to the scanning signal of the ultrasonic sensor and the temperature characteristic of a temperature monitoring device to conduct correction on a deviation value and output a certain correction characteristic; an execution device receives the correction characteristic to drive a welding torch to achieve fillet weld tracking.

The invention relates to an image encryption and decryption method and an image encryption and decryption system. The invention discloses an image encryption and decryption method, and the method comprises an image encryption operation step: S1, carrying out the decomposition and reconstruction of a bit plane of an original image, and obtaining a plaintext image; and S2, acquiring a pseudo-random key, and randomly scrambling the plaintext image to obtain an encrypted image. According to the image encryption and decryption method provided by the invention, the encrypted image obtained by using the encryption operation is subjected to security analysis and differential attack resistance analysis, so that the effectiveness of the algorithm is ensured, and the pixel correlation of the encrypted image tends to 0. Compared with an existing encryption algorithm in performance, a result obtained by feedback proves that the encrypted image obtained by using the image encryption method provided by the invention is excellent in safety performance.

The invention relates to a high-gain hybrid photomultiplier based on a micro-channel plate. An MCP (micro-channel plate) is placed behind a photocathode to amplify photoelectrons generated by the photocathode, and the amplified electrons are accelerated under an external voltage, and the motion trail is restrained by the focusing electrode to ensure that high-energy electrons can bombard a wide bandgap semiconductor detector. A 6,000-20,000V negative high voltage can be loaded to the photocathode, and the voltage of the photocathode, the voltage of the MCP and the voltage of a focusing electrode can be flexibly adjusted through the ratio of three voltage dividing resistors in a voltage dividing circuit according to needs, thereby achieving the adjustment of the gain and time characteristics. The gain of the hybrid photomultiplier is not only limited to high gain, but also can be adjusted within a wide gain range (102-106) through the existence of the MCP or the multi-stage MCP, an external voltage value and a wide bandgap semiconductor detector structure, and different gain requirements can be met.

The invention discloses a vehicle flow calculating method suitable for multiple scenarios based on a video image, and relates to the field of video image processing and traffic flow calculating. The vehicle flow calculating method comprises the steps that (1) a flow counting line is automatically generated; (2) fixed feature points are extracted; (3) an optical flow is tracked, specifically, the feature points serve as tracking starting points, speed information of all the feature points on the flow counting line is counted, and the speed information of the feature points on one flow countingline is generated and stored temporarily; (4) the motion direction and the motion speed are clustered; (5) the number of targets is increased, specifically, the step (3) and the step (4) are executedcircularly, the feature points of the flow counting line of a new frame of data are tracked, and speed information of feature points of a new flow counting line is generated; (6) uplink attribute information and downlink attribute information are counted; (7) the tracking direction is corrected; and (8) effective targets are classified. Compared with the prior art, the problem of traffic flow calculation in the multiple scenarios, under different weather situations and in different pavement states can be solved.

The invention discloses a method based on on-line handwritten signature for generating random numbers. The invention is characterized in that the method comprises the following steps: collecting sampling point coordinates from the handwritten signature; converting sampling points to M*M sampling images; encrypting the sampling images to obtain ciphertext images; converting the ciphertext images to random numbers of T bits. By adopting the invention, the generated random numbers can be provided for an encryption key, a security protocol or a network game.

The invention provides an arrester ground lead monitoring and early warning device and an arrester ground lead monitoring and early warning method. The arrester ground lead monitoring and early warning device comprises an outer shell, a central processing unit, an equipment monitoring unit, an alarm device and the like. The arrester ground lead monitoring and early warning method comprises the steps of detecting the resistance of a ground lead by use of a resistance detector, recording occurrence times of thunder currents in the ground lead by use of a pulse inductor, and the like. The arrester ground lead monitoring and early warning device and the arrester ground lead monitoring and early warning method can be used for performing real-time monitoring and early warning on the ground lead of a lightning conductor, conveniently and reliably, solving the operation and maintenance problems of the arrester ground lead, improving the safety, and avoiding equipment damage or pedestrian safety hidden danger during thunderstroke caused by undiscovered ground lead damage; meanwhile, the arrester ground lead monitoring and early warning device and the arrester ground lead monitoring and early warning method can be used for recording and accounting the thunderstroke frequency, ensuring that personnel can inspect lines with frequent thunderstrokes conveniently and prevent hidden dangers. The arrester ground lead monitoring and early warning method can be used for performing effective and comprehensive monitoring and early warning, and avoiding careless omission, and has a relatively good accounting effect.

The invention discloses a medical device monitoring system based on real-time data acquisition and a monitoring method thereof. A plurality of medical devices are connected with a wireless router, thewireless router is connected with a router through a wireless communication base station, and the router is connected with a monitoring terminal. According to the invention, based on a data acquisition box connected with a medical equipment network, real-time online acquisition of medical equipment operation process information is realized; based on a data analysis and software analysis platformof the monitoring terminal, the operation state of the medical equipment is monitored in real time; based on a monitoring model preset by a software analysis platform of the database server, the efficiency, the performance reliability and the economic benefit of the medical equipment are monitored and analyzed on line in real time, and the equipment performance condition is obtained. Real-time collection and comprehensive performance evaluation of medical equipment operation data are achieved, the efficiency is high, the statistical effect is good, and the defects that in existing medical equipment parameter statistical analysis, staged data are manually input or data are imported from other systems are overcome.

The invention discloses a planting device for monitoring submerged plants to improve the water quality of a water area. The planting device comprises support assemblies distributed at intervals, telescopic assemblies connected to the support assemblies in a sliding mode, cultivation platforms connected to the adjacent telescopic assemblies and detection devices installed on the cultivation platforms, each cultivation platform comprises planting parts distributed at intervals, and the planting parts are used for cultivating the submerged plants. The cultivation platforms are driven by the telescopic assemblies to slide along the support assemblies to make the cultivation platforms located at different water depths, and the detection devices are used for detecting water quality parameters ofthe environment where the cultivation platforms are located. The cultivation platforms are adjusted through the telescopic assemblies and limited in a riverway with the corresponding water depth so as to purify riverway water, the purification target is clear, and the purification effect is good. The detection devices are used for detecting water quality parameters of the environment where the cultivation platforms are located so as to periodically detect the water quality of the water area and collect purification parameters of submerged plants, and the statistical effect is good.

The invention provides a statistical unit self-adaption-based ecological space analysis method and system. The method comprises the steps of determining and receiving an analysis range and input of analysis target data and indexes; according to the analysis range and the analysis target data and indexes, judging a subtask unit division mode, and obtaining the range of each analysis unit; performing spatial superposition on analysis target data by using an analysis unit range, extracting target data elements in each analysis unit range, and adding the same analysis unit identifier to the target data elements falling into the same analysis unit range so as to obtain a sub-task unit; distributing all the sub-task units to different computing nodes, so that all the nodes execute respective sub-tasks. According to different analysis ranges, analysis data and indexes and analysis result statistical expression requirements, the method is automatically split into a plurality of suitable subtasks, computing resources in a parallel computing environment can be utilized to the maximum extent, and better analysis statistical efficiency is obtained.

The invention discloses an analysis method for nucleation of metal hydride containing a surface oxide layer. The method comprises the steps of 1, firstly, loading a metal sample to be tested into a reaction cavity, then introducing hydrogen / deuterium gas into the cavity, carrying out a small-angle neutron scattering test in the process, processing small-angle scattering experimental data to obtainan absolute intensity scattering curve, and judging the critical point of hydride nucleation according to the time when the absolute scattering intensity is increased. The analysis method for nucleation of the metal hydride containing the surface oxide layer provides a sensitive initial hydride nucleation measurement method, and can be used for evaluating the surface hydrogenation reaction of a real metal material (the surface contains the oxide layer, damage, impurities and the like). The observed metal hydride nucleation containing the surface oxide layer is a key process of an actual metalhydrogenation reaction, and can be used for metal hydrogen corrosion resistance evaluation and hydrogen storage material activation process optimization.

The invention discloses a random number generator used for a passive label chip, comprising an analog circuit and a digital circuit; the analog circuit generates a random number and the digital circuit performs output processing on the random number outputted by the analog circuit. The random number generator adopts a scheme combining the simulation circuit and the digital circuit; the simulation circuit adopts a ring oscillator with low power consumption to effectively reduce power consumption of a chip; the digital circuit uses a 32-bit linear feedback shift register and a cycle is 232; and a new random number which is generated after the output of the random number of the analog circuit is processed has a better statistical property.

The invention discloses a fillet weld tracking system and method based on ultrasonic oscillatory scanning. The fillet weld tracking system and method mainly solve the technical problems that an existing welding seam tracking system is complicated and overloaded in structure and operation, high in cost and unstable in tracking and are mainly suitable for automatic welding of fillet welds. According to the system, an ultrasonic sensor is utilized, and a scanning signal is output while oscillation is conducted; a discrete signal collecting and processing device is used for conducting sampling and filtering amplification processing; a data fitting processing device is used for conducting data fitting on a sampled signal, and the fillet weld center is recognized through a weighted least square method; a correcting control device adopts feedforward and feedback intelligent adjustment according to the scanning signal of the ultrasonic sensor and the temperature characteristic of a temperature monitoring device to conduct correction on a deviation value and output a certain correction characteristic; an execution device receives the correction characteristic to drive a welding torch to achieve fillet weld tracking.

The invention relates to a variable structure pseudo-random number generation method based on a cellular automaton. The method comprises the steps of acquiring an initial secret key, a primitive polynomial and an initialization vector are acquired; obtaining a first sub-sequence according to the primitive polynomial and the initialization vector, and obtaining a second sub-sequence according to the initial key and the primitive polynomial; and generating a pseudorandom sequence according to the first sub-sequence and the second sub-sequence. Random numbers generated by adopting the method disclosed by the invention can pass through NIST SP800-22 detection, the random number generation algorithm can be applied to various encryption applications such as images, characters, videos and the like, and the problems that in the prior art, the random number generation algorithm is single and fixed in structure, poor in flexibility and not suitable for various applications are solved.

The invention discloses a device for detecting friction abrasion between food machinery component and processed food. The device comprises a body portion, a transmission portion, a loading portion and a test bed portion, the upper portion of the body portion comprises a rotatable supporting frame, the test bed portion comprises an independent rotatable lower test bed, an independent reciprocating lower test bed and a common upper test bed, the transmission portion comprises an independent rotatable transmission mechanism and an independent reciprocating transmission mechanism. The device can simulate conditions of the friction abrasion between the food machinery component and processed food such as beans and rice, working conditions of rotatable friction abrasion and reciprocating friction abrasion can be simultaneously simulated, one device has multi-purposes, and the device can be widely used for detecting friction abrasion of friction components in the food machinery field.

The invention relates to a method for ultrasonically detecting a metal material texture, belongs to the field of material characterization, and solves the problems that in the prior art, a metal material is thick and large, and sample texture information is difficult to quickly obtain. The method comprises the following steps: step 1, processing a sample; step 2, ultrasonic sound velocity detection; uniformly collecting on the rolling direction surface and the normal direction surface of each sample to obtain 125 rows * 125 columns of ultrasonic signals; 3, fitting the ultrasonic sound velocity and the deflection angle; 4, converting the sound velocity into a deflection angle and matching; 5, Euler angle conversion and orientation information visualization are carried out; the method comprises the following steps: firstly, acquiring Euler angle data, then importing the Euler angle data into texture analysis software TSL OIM Analysis, and obtaining a calculation pole graph to realize orientation information visualization. According to the method, rapid characterization of metal material texture information is realized.

The invention relates to the technical field of monitoring, and discloses a cable production line monitoring system which comprises a cable production monitoring system. The cable production monitoring system comprises an early warning adjustment module, an order tracking management system and a terminal monitoring module, and the early warning adjustment module comprises a fault real-time monitoring module, an alarm module and a rate adjustment module; the order tracking management system comprises an order quantity tracking module, an order quantity feedback module and an order quantity statistics module; and the terminal monitoring module comprises a production line monitoring module, an order flow direction monitoring module, an order data backup module and an administrator client. Thecable production line monitoring system can give an alarm in time for possible faults in the cable production process so that a field user can respond in time, an order statistics effect is good, anda problem that a production rate of a cable production line cannot be adjusted so that the corresponding production requirements cannot be met is solved; and a use effect is good.

The invention discloses a tomographic gamma scanning and measuring method which comprises the following steps of: 1, performing transmitting measurement on a sample, namely (1) positioning and axially layering the sample; (2) selecting translation position points in equal interval on each layer; (3) rotating the sample around the central axis of a platform at each horizontal translation position point, and selecting eight rotating angles between 0 and 180 degrees in equal angle, wherein once measurement is performed while rotating once, and eight-time measurement is performed at each horizontal position point; 2, performing emission measurement on the sample; and 3, correcting the absorption attenuation of emitted gamma rays which penetrate through the measured sample by utilizing a dielectric wire attenuation coefficient obtained through transmitting gamma scanning measurement, and obtaining the radioactive content. The invention provides the tomographic gamma scanning and measuring method which is short in measurement time, high in analytical precision and high in measurement accuracy.

The present invention relates to a variable structure pseudo-random number generation method based on cellular automata, comprising: obtaining an initial key, a primitive polynomial and an initialization vector; obtaining a first subsequence according to the primitive polynomial and the initialization vector, And obtaining a second subsequence according to the initial key and the primitive polynomial; generating a pseudo-random sequence according to the first subsequence and the second subsequence. The random number generated by the method of the present invention can be detected by NIST SP800‑22, and can be applied to various encryption applications such as images, texts, and videos. Questions for a variety of applications.

A modeling method of a mixed propagation typed MOS transistor electricity statistical model includes that: the working procedure of a forward propagation method is adopted, which has a step S1 which determines the standard deviation of three model parameters; a backward propagation method is also adopted, which has a step S5 which selects four model parameters and carries out numerical differencemethod sensitivity analysis to the difference of the model parameter and the technique standard. The mixed propagation typed modeling method respectively takes the advantages of the forward propagation modeling method and the backward propagation modeling method and improves the developing efficiency and practicability of MOS transistor electricity statistical model.

The present invention provides a self-adaptive ecological space analysis method and system based on statistical units, including: determining and receiving the input of the analysis range and analysis target data and indicators; according to the analysis range and analysis target data and indicators, judging the division of subtask units method to obtain the range of each analysis unit; use the range of the analysis unit to spatially superimpose the analysis target data, extract the target data elements within the range of each analysis unit, and add the same analysis unit identifier to the target data elements falling within the range of the same analysis unit , so as to obtain subtask units; assign each subtask unit to different computing nodes, and each node executes its own subtask. According to different analysis ranges, analysis data and indicators, and statistical expression requirements of analysis results, the present invention automatically splits them into appropriate multiple subtasks, and can maximize the use of computing resources in a parallel computing environment to obtain better analysis and statistical efficiency.

The invention belongs to the technical field of electronic countermeasures, and in particular relates to a single-snapshot two-dimensional DOA estimation method based on three parallel linear arrays. The technical scheme adopted in the present invention is: multiply the single snapshot data received by the three parallel linear arrays with the reference array element data to construct three full-rank pseudo-matrices, based on the rotation differences between the three constructed pseudo-matrices For denaturation, use the two-dimensional ESPRIT method to solve two rotation matrices, realize the two-dimensional angle parameter pairing and solve the azimuth and elevation angle of the incident signal through the eigendecomposition of the rotation matrix, and complete the two-dimensional DOA estimation. The beneficial effect of the present invention is that the present invention can use the array receiving data of a single snapshot to perform two-dimensional estimation on the DOA of the signal, and the algorithm has a lower degree of freedom loss, and has a better signal-to-noise ratio and array receiving conditions. resolution and statistical performance.

The invention belongs to the technical field of radar signal processing, and in particular relates to a DOA estimation method based on an L array and a two-dimensional ESPRIT algorithm. The present invention proposes a DOA estimation method based on the L array and the two-dimensional ESPRIT algorithm. After the array receives the radiation source signal, the array data is processed by using the array characteristics of the L array, and the data used for the operation of the two-dimensional ESPRIT algorithm is constructed. Matrix, get the estimated angle, and complete the direction measurement estimation of the signal source. The beneficial effect of the present invention is that the present invention utilizes the L array to construct a large matrix, and the obtained matrix has a simple form, which maintains a relatively low computational complexity in the subsequent direction finding process, effectively removes the influence of statistically independent noise sources, and improves The resolving power and statistical performance in Gaussian noise environment are improved.