42 results about "Adaptive sensing" patented technology

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of radio-frequency identification signals, and indicative of proximity sensing at the module. A central computer accumulates the data produced or received and relayed by each module for analyzing inventory, pricing and customer responses to transmit through the adaptive network signals representative of information to be displayed at selectively-addresses modules in response to computer analyses of the data accumulated from modules forming an adaptive network.

The invention discloses an adaptive compressed sensing-based non-local reconstruction method for a natural image. The problems of serious reconstructed image information loss and the like in the prior art are mainly solved. The method is implemented by the steps of: (1) dividing an image into N 32*32 sub-blocks, obtaining a basic sensing matrix Phi' according to a basic sampling rate b and a sensing matrix Phi, and sampling a signal by utilizing Phi' to obtain a basic observation vector; (2) estimating a standard deviation sequence {d1, d2, ..., and dN} of the image according to the basic observation vector; (3) adaptively allocating a sampling rate ai for each sub-block according to the standard deviation sequence {d1, d2, ..., and dN}, and constructing an adaptive sensing matrix, and sampling the signal by utilizing the adaptive sensing matrix to obtain an adaptive observation vector; (4) forming an observation vector of each sub-block by using the basic observation vector and the adaptive observation vector; (5) obtaining an initial solution x0 of the image according to the observation vector; and (6) performing iteration by using x0, and reconstructing the original image until consistency with a finishing condition is achieved to obtain a reconstructed image x'. The method has the advantages of high image reconstruction quality, clear principle and operational simplicity, and is applied to the sampling and reconstruction of the natural image.

An adaptive sensing system including a passive sensor that receives electromagnetic radiation, an active sensor that emits and receives electromagnetic radiation, a detection unit that detects the presence of human beings and objects other than human beings in a region of observation, and a control unit that controls the active sensor and the passive sensor based on a result of the detection by the detection unit.

The invention discloses a sensing system adaptive receiving method based on digital channelization instantaneous parameter measurement. The method comprises the steps that 1), a display control subsystem configures sensing receiving channel parameters and controls realization of an instantaneous adaptive sensing mode; 2), an external electromagnetic environment and signals are injected into a comprehensive radio frequency subsystem through utilization of a radio frequency interface; 3), radio frequency signals are amplified and filtered to obtain intermediate frequency signals, and the intermediate frequency signals are sent to a sensing processing subsystem; 4), an FPGA module of the sensing processing subsystem caches received signals, processes the received signals, and sends a processing result to the display control subsystem; and 5), the display control subsystem receives the processing result, judges the processing result and outputs a judgment result. According to the method, high intercept probability and high sensitivity adaptive sensing and receiving of radar and communication signals in a wide instantaneous bandwidth range can be realized, so the problem that conventional broadband sensing receiver equipment is huge and is high in power consumption and cost can be offset to a relatively great extent.

The invention relates to an environment self-adaptation sensing wireless communication channel estimation and signal reconstruction method based on optimal recovery measurement induced by machine learning. The environment self-adaptation sensing wireless communication channel estimation and signal reconstruction method comprises steps that by using base station storage equipment, pilot frequency signals of time-space proximity, channel state information, and recovery measurement information are stored; a receiving end is used to receive the pilot frequency signals transmitted by a transmittingend, and by combining with the base station storage information, the machine learning method is adopted to realize the environment self-adaption sensing channel state and determine the optimal recovery measurement; the channel state information and the optimal recovery measurement are adopted to realize anti-interference, denoising transmission signal reconstruction. Based on the effective information stored on the communication base station and the machine learning principle, fast, effective learning, estimation, and elimination of influences of complicated noises on the wireless communication system can be realized, and therefore the robust estimation and the signal reconstruction of the wireless communication channels are realized in the same time or in shorter time by adopting the self-adaption way.

The invention discloses a self-adaptive sensing design. A clock signal having a clock pulse width duration is received. A delay time is received. A first relationship and a second relationship between the clock pulse width duration and the delay time are determined. A new clock is generated that has a first new clock pulse width duration determined by the first relationship and the delay time and a second new clock pulse width duration determined by the second relationship and the clock pulse width duration. Switching between the first new clock pulse width duration and the second new clock pulse width duration is automatic based on the first relationship and the second relationship.

The present invention relates to a rainfall adaptive sensing method of automobile windscreen wipers. The existing techniques have the shortcomings of poor adaptive capability and low control accuracy. The method comprises the following steps: first, a controller in a rainfall sensing module is initialized, and a rainfall strength quantified threshold is read from a nonvolatile memory after initialization; a rainfall strength quantified grade is subsequently read by the rainfall sensing module from a motor control module for windscreen wipers; then, the current rainfall strength quantified grade is sensed and calculated by the rainfall sensing module through an infrared transmitter; finally, the current rainfall strength quantified grade is sent to the motor control module for windscreen wipers, the windscreen wipers are relatively controlled by the motor control module for windscreen wipers, and the current rainfall strength quantified grade is updated. The method has the advantages of adjustable rainfall strength grade, good flexibility, strong adaptive capability and capability of overcoming the influence of temperature, natural light strength and frost on rainfall detecting algorithm.

The present invention is a self-adaptive control irrigation and drainage system with a bottom lysimeter pit, and its structure includes two parts: a judging circuit and a control circuit; the pole A of the electromagnet 5 of the pit testing circuit in the judging circuit and the field pole in the control circuit The B poles of the circuit electromagnet 9 are connected, and the other A of the pit circuit electromagnet 5 is connected. ， The pole is connected with the metal probe wire 6 of the anode test pit, and the other B of the Datian circuit electromagnet 9 in the control circuit ， The pole is connected with the anode field metal probe wire 10. Advantages: adaptively adjust the irrigation water level in the bottomed lysimeter pit, so that the crop irrigation water depth in the bottomed lysimeter pit is always consistent with that of the field; through the closed control circuit, the irrigation and drainage pump stations are opened at the same time, and the side-side irrigation is adopted. The soil salinity content in the bottomed lysimeter pit is reduced by means of drainage; thereby greatly reducing the labor intensity of artificial irrigation and drainage in the irrigation test and replacement of the soil in the bottomed lysimeter pit.

This invention provides a double-path adaptive sensing compensated mode-stabilizing system technology, which puts forward a method for setting up two paths of parallel adaptive compensated mode-stabilizing systems with exchangeable positions including setting up a subsystem related to CCD1for testing change of an outer cavity and a subsystem related to CCD2 for compensating the change of the outercavity, in which, each path of the subsystems for testing the change test the He-Ne laser wavefront slope related parameters reflected by the outer cavity mirror and compute the shape-change volume of the outer cavity and necessary compensation volume, then the subsystems for compensation coordinated to each other compensate a directional change of the outer cavity, and a double-path mode-stabilizing system carries out cooperated optimized compensated operation on the basis of testing one direction of shape-change parameter by each path of adaptive sensing compensated mode-stabilizing systemto counteract the change of position of super-mode optical image aroused by beta-disturbance.

The invention discloses an intelligent self-adaptation sensing separating, cutting and tidying system for sterile medical cotton swabs. The intelligent self-adaptation sensing separating, cutting and tidying system comprises an annular cylinder. A dividing disc is rotationally connected to the interior of the annular cylinder. Guide grooves are formed in the outer surface of the dividing disc. Guide blocks are connected to the interiors of the guide grooves in a sliding manner. Reset springs are fixedly installed on the upper surface of the two ends of each guide block. The upper surface each guide block is fixedly connected with a dividing block. An arc groove is formed in the upper surface of each dividing block. The lower surface of each guide block is fixedly connected with a push plate. A first wedge-shaped surface is arranged at the other end of each push plate. An operation groove is formed in the bottom face of the interior of each guide groove. A push rod is connected to the interior of each operation groove in a sliding manner. The surfaces of the front ends of the push rods are fixedly connected with an adjusting plate. An adjusting threaded hole is formed in the center position of the interior of the adjusting plate, and an adjusting threaded rod is connected to the interior of the adjusting threaded hole in a threaded manner. By means of the separating, cutting and tidying system, adaptability of the device is greatly improved, and the production efficiency can be effectively improved.

The present invention relates to an adaptive perception block chain hybrid consensus mechanism architecture and a method thereof. The architecture is a multi-chain system composed of a plurality of block chains, including a main chain and several remaining functional side chains. The purpose of the main chain is to record all the operational behaviors in the multi-chain system. The purpose of the functional side chains is to record the data resources corresponding to the needs. Different functional side chains record different data resources. There is a group of consensus mechanisms between the main chain and the functional side chain, called the consensus mechanism group, each type of consensus mechanism in the group is different, and can be added and deleted. When the main chain receives a certain functional operation, it will select the consensus mechanism corresponding to the function from the consensus mechanism group through the adaptive perception module in the multi-chain system to execute, and the selected consensus mechanism will generate blocks. At the same time, the data resources involved in the function are recorded on the corresponding function side chain. If there is a new demand, you only need to add the consensus mechanism corresponding to the demand to the consensus mechanism group, and add several functional side chains to bind with the consensus mechanism, so that when the main chain receives the functional operation corresponding to the demand, it can Correctly choose the corresponding consensus mechanism and functional side chain.

The invention discloses an adaptive communication receiving lower computer and an adaptive communication receiving upper computer. The lower computer senses radio spectrum signals, analyzes useful channel information in the radio spectrum signals, and outputs the useful channel information; the upper computer receives useful channel information, recognizes a first communication parameter in the useful channel information, and outputs the first communication parameter; and the lower computer receives the first communication parameter, configures the first communication parameter as a communication parameter of target radio signals, receives and demodulates the target radio signals, and outputs demodulation data of the target radio signals. The adaptive communication receiving upper computer and lower computer can realize adaptive sensing and recognition on wireless transmitting parameters, then realize reception of radio data for adjusting the transmitting parameters at any time, and thus have strong generality.

The invention discloses a hybrid frequency-domain MAC (medium access control) protocol communication method based on self-adaptive perception. The hybrid frequency-domain MAC protocol communication method comprises the following steps: receiving data transmission requests of one or more multimedia users, and detecting transmission characteristics of the multimedia users; dividing a channel into a plurality of sub-channels on a frequency domain on the basis of a multi-carrier wireless transmission platform, and analyzing the channel quality of each sub-channel; distributing MAC protocols and the sub-channels for the multimedia users according to the transmission characteristics of the multimedia users and the channel quality of each sub-channel; carrying out data transmission by the multimedia users in the corresponding sub-channels according to the acquired distributed MAC protocols. According to the hybrid frequency-domain MAC protocol communication method based on self-adaptive perception disclosed by the invention, mixing of a plurality of MAC protocols is carried out by using a frequency-division multiplexing technology; the self-adaptive perception capacity of data transmission is enhanced; relatively good self-adaption to diversified transmission requirements is achieved; the service quality for the users is improved; the total network throughput is increased.

The invention belongs to the field of combination of ecological environment and computer vision, and particularly relates to an environment adaptive perception small sample endangered animal detection method and system. A common animal data set and an endangered animal data set are preprocessed, the preprocessed common animal data set is divided into a plurality of subtasks through task decomposition, the subtasks are used for basic stage training, a basic target detection model is obtained, the preprocessed endangered animal data set is sent to an environment sensing module, and a new sample is obtained. A new sample and an original endangered animal data set are used as input to carry out fine tuning training on an existing basic target detection model, and after a trained target model is obtained, an image or a video is input to obtain a related detection result of the endangered animal. A detection model with good generalization ability cannot be trained; and the detection accuracy is low.