483 results about "Signal region" patented technology

The invention relates to the technical field of anti-interference, in particular to a communication signal interference elimination method and system, and the method comprises the following steps: obtaining communication signal time domain data, calculating a signal energy change rate, a signal abrupt change rate and a phase drift rate, marking and distinguishing a signal region according to a calculation result, and obtaining a communication signal non-stationary interval identification result. According to the method, the time domain data of the communication signal is subjected to fine-grained calculation, and the signal energy change rate, the signal abrupt change rate and the phase drift rate are extracted, so that accurate signal region distinguishing is realized, the regression modeling parameter range is adjusted, the influence of instantaneous data of an abrupt change region is reduced, and the stability of signal reconstruction is improved; according to the method, signal-to-noise ratio calculation and interference power fluctuation amplitude evaluation are combined, channel state parameters are dynamically adjusted, interference intensity evaluation is more accurate, the filtering step length, the weight coefficient and the gain coefficient are optimized based on error information, signal processing adapts to different types of interference, and integrity and stability of communication signals are enhanced.

The invention discloses an unmanned aerial vehicle track maintenance and autonomous positioning method in a communication decline scene, and relates to the technical field of navigation maintenance positioning, and the method comprises the steps: carrying out the signal intensity monitoring and smoothing of signal quality and decline information collected in real time, carrying out the decline trend prediction through a long-short-term memory network, and outputting a signal decline report; in combination with multi-unmanned aerial vehicle sensor data, local sensor data is processed in real time through edge calculation, and shared information is fused through particle filtering; a cooperative positioning algorithm and a distributed positioning algorithm are used to correct the shared information of the multiple unmanned aerial vehicles and output the precision for autonomous positioning; and adjusting the unmanned aerial vehicle to an energy-saving flight mode by using an energy consumption model in combination with the signal recession report and the optimal path. According to the method, the flight path of the unmanned aerial vehicle is optimized by adopting deep reinforcement learning and the game theory, and adaptive flight path adjustment is realized in combination with a model prediction control algorithm, so that the unmanned aerial vehicle can dynamically avoid a low-signal area, and flight stability is ensured.

The invention relates to the technical field of boundary recognition, in particular to a glioma boundary recognition method and system based on image fusion, and the method comprises the following steps: obtaining a multi-modal brain image, constructing a fusion matrix, extracting the gray features of an edge region and an adjacent region, recognizing signal-noise abnormal points, and revising a judgment standard. And adjusting the path direction and reconstructing an edge communication structure, and generating a glioma boundary region map under fusion. According to the method, high-precision alignment among modals is realized through multi-modal image gray scale unification and registration processing, key details are expanded and focused by enhancing edges and regions, the recognition accuracy is improved, gray scale comparison between the edges and outer adjacent regions is introduced, the signal distinguishing capability is enhanced, misjudgment is avoided, judgment conditions are dynamically revised according to the signal-noise difference, and the accuracy of recognition is improved. The method enables the recognition standard to have local adaptability, combines the path change trend to reorder and connect edge points, guarantees the continuity of a boundary structure, integrally improves the accuracy and integrity of fuzzy boundary recognition, and enhances the glioma contour extraction effect.

The invention relates to the technical field of coal mine safety and coal and gas prediction, and discloses a coal and gas outburst danger area identification and early warning method based on multi-parameter fusion, and the method comprises the steps: obtaining multi-parameter data through a sensor network, connecting the sensor network through a monitoring transmission strategy, and transmitting the multi-parameter data to a cloud platform; extracting features of the multi-parameter data transmitted to the cloud platform through a feature fusion strategy, and performing fusion processing; an outburst early warning model and an outburst early warning strategy are constructed according to the multi-parameter characteristics, and the outburst early warning model is trained by obtaining historical outburst events and normal events, so that the prediction accuracy and reliability of coal and gas outburst danger are improved; identifying an abnormal state through the outburst early warning model and the outburst early warning strategy; the signals and the signal areas are visually displayed in the cloud platform and are transmitted to management personnel and professional analysts at the same time, and remote analysis and prediction effect judgment are carried out; and dynamically adjusting the highlighting early warning model and the highlighting early warning strategy according to the multi-parameter data and the prediction effect.

The invention discloses an ad hoc network communication system without a signal area, particularly relates to the technical field of wireless communication, and is used for solving the problem that a connectivity critical state caused by node density or mobility change in a low-density network is not fully considered in an existing dynamic routing protocol. The network connectivity critical state is pre-judged by acquiring node position coordinates and communication radiuses in real time and combining the average node spacing and the dispersion in the moving direction; screening a high-priority detection node based on an obstacle avoidance cooperative angle variance and a virtual pheromone concentration in a critical state, and adaptively adjusting a detection message sending frequency according to a node moving speed; constructing a path stability evaluation model by fusing the link survival duration, the node residual energy and the signal intensity fluctuation rate, dynamically screening a high-stability path as a main transmission link, and taking the rest lists as standby links; and monitoring the signal fluctuation characteristics of the main link in real time, and quickly switching to the path with the optimal comprehensive stability in the standby link in an abnormal state.

The invention relates to the field of electric power inspection, in particular to an unmanned aerial vehicle-based electric power inspection method and system, the method comprises two aspects of data initialization and electric power inspection, and the data initialization completes data acquisition, inspection parameter calculation and inspection model training and compression processing; the electric power inspection can realize off-line and real-time automatic inspection in mountains and other non-signal areas by receiving the inspection parameters and the inspection model calculated and completed by the server, and the inspection has the functions of automatic route planning, obstacle avoidance reminding and inspection center keeping. Detection results of six angles in the annular direction of the tower and seven angles in the center of the top of the tower are inspected and collected for comprehensive judgment, the problem of component shielding in fault detection can be solved, meanwhile, the problem of component missing can be detected by comparing historical angle pictures, and finally, exposure abnormity repair is provided based on the historical angle pictures, so that the fault detection accuracy is improved. The inspection picture quality is optimized, and the inspection precision is guaranteed.

The invention discloses an area array Gm-APD detection laser radar distance drift error correction method and system, and belongs to the field of data processing. The method comprises the steps of building a single-photon laser ranging system, adjusting the width of a laser pulse, detecting a target distance by using an area array Gm-APD detection laser radar, carrying out repeated measurement on a certain plane for multiple times, obtaining arrival time distribution of a target single-photon event, carrying out weighted average after carrying out filtering and denoising on ranging signals, and obtaining a signal region ranging value. And estimating the average detection photon number of the received monopulse by using the statistical detection probability, and correcting the drift error. According to the method, the drift error caused by echo signal photon accumulation in the area array Gm-APD detection laser radar can be corrected, and the ranging error of the area array Gm-APD detection laser radar is reduced.

The embodiment of the invention provides a memory chip, a logic chip, a chip stacking structure and a memory, a global signal area of the memory chip is penetrated by a plurality of conductive through hole groups, each conductive through hole group comprises a first redundant conductive through hole group and a second redundant conductive through hole group, the first redundant conductive through hole group comprises a first conductive through hole and a fourth conductive through hole, and the second redundant conductive through hole group comprises a second conductive through hole and a third conductive through hole; the first redundant conductive through hole group is used for transmitting the same first global signal, and the second redundant conductive through hole group is used for transmitting the same second global signal.

An object is to reduce the amount of data to be transmitted while ensuring tactile reproducibility. A decoding device according to the present technology includes: a first decoding unit that decodes first encoded data obtained by encoding a first signal section with a first bit rate, the first signal section being a part of a touch signal section which is a signal section indicating a touch state with an object in a tactile signal, the first signal section being a signal section including a boundary between the touch state and a non-touch state with the object; and a second decoding unit that decodes second encoded data obtained by encoding a second signal section with a bit rate lower than the first bit rate, the second signal section being a signal section except for the first signal section in the touch signal section.

The PCBA onboard trigger signal type electronic lock comprises an electronic lock bottom shell and an electronic lock top cover fixed to the upper end of the electronic lock bottom shell, a locking button movably penetrates through the right portion of the electronic lock top cover, and springs are connected to the front side and the rear side between the lower end of the locking button and the inner bottom end of the electronic lock bottom shell. According to the PCBA onboard trigger signal type electronic lock, the unlocking signal area, the mechanical switch signal area and the locking signal area are integrally arranged on the PCBA board, and the translation driving assembly, the PCBA board and other components are integrated into a signal switch to be integrally designed in the electronic lock shell, so that the electronic lock is smaller in size and narrower in width; the charging gun body can be made to be smaller and more convenient by replacing a traditional touch switch with contact of the PCBA and the elastic piece, the effects of preventing rain, freezing and sand dust can be achieved in severe weather such as rainy seasons or freezing and the like, and the situation that the locking button and the emergency unlocking button are frozen and cannot be pressed is prevented.

The present disclosure provides a logic chip, a memory chip, a chip stack structure, and a memory. The logic chip is provided with a plurality of channel signal regions, conductive vias in each one of the plurality of channel signal regions are divided into a plurality of repair unit groups, and each one of the plurality of repair unit groups includes four repair units, where a first repair unit and a second repair unit are arranged symmetrically about a first axis, a third repair unit and a fourth repair unit are arranged symmetrically about the first axis, and the first repair unit and the fourth repair unit are arranged symmetrically about a second axis.

The invention relates to the technical field of touch display, and discloses a partition correction method and system based on a pin signal of a touch display module, and the method comprises the following steps: the pin signal of the touch display module is divided into a plurality of functional areas, and the functional areas comprise a display driving signal area, a touch signal area and a system control signal area; the invention further provides a partition correction system based on the touch display module pin signals, the partition correction system comprises a plurality of signal areas, each signal area is responsible for a specific signal transmission task, and each signal area comprises a display driving signal area, a touch signal area, a system control signal area and a physical isolation module. And physical isolation measures are arranged between the signal areas. The display driving signal area, the touch signal area and the system control signal area are reasonably divided, and the pin spacing adjustment and the shielding layer arrangement are adopted, so that the technical effects of reducing signal interference and optimizing signal transmission quality are achieved.

The invention provides a memory chip, a logic chip, a chip stacking structure and a memory. The memory chip comprises m channels, and the m channels are sequentially arranged in the first direction and are symmetrical about the axis of the chip; each channel is provided with a channel signal region, each channel signal region is divided into 2 * 2 through hole regions which are distributed in an array, the areas of the m channel signal regions are the same, and the distribution positions of the conductive through hole groups in the m channel signal regions are the same.

The invention discloses an electromagnetic target recognition method based on interpretable multi-task learning, a storage medium and equipment, and the method comprises the steps: firstly constructing a multi-task learning network facing modulation recognition and individual recognition, inputting an original signal, setting a hyper-parameter, and carrying out the training of the multi-task learning network; constructing a generator for outputting a disturbance signal, segmenting an original signal and generating an original mask, generating a disturbance mask through an inversion element, and further generating the disturbance signal; inputting the disturbance signals into the trained multi-task learning network to obtain probability distribution of classification results under different tasks; taking a prediction probability of a multi-task model to a disturbance signal as a supervision label, training a local linear model on an original mask and a disturbance mask, and taking a model weight Wg as a contribution degree of each subsequence to explanation through optimization; and performing normalization processing on the Wg, mapping the weight back to the original signal length, and visually marking a time-frequency domain signal region which plays a key role in model decision based on a constellation diagram.

The invention relates to the technical field of fluorescence detection, in particular to a positioning fluorescence detection method for an oral cancer incision edge specimen. According to the invention, the nano graphene oxide and the fluorescent targeting peptide are mixed and purified to obtain a fluorescent targeting probe solution with high specificity and stability, and the probe is injected into a specimen tissue by using a microneedle system, so that the consistency of the injection depth and the diffusion range is ensured, and the accuracy and reliability of marking are improved; spatial segmentation and mutation point analysis are carried out through optical signal intensity distribution characteristics, low-intensity and abnormal fluctuation signals are eliminated, a signal region boundary is optimized, multi-site extraction is carried out on cutting edge signals through a convolutional neural network, signal intensity center calculation and spatial mapping are analyzed, and a two-dimensional quantizable point set is generated. According to the method, the signal distribution trend is marked, the consistency of boundaries is calibrated, an incisal edge positioning map with higher space consistency and systematicness is generated, the reliability of incisal edge judgment is improved, the omission risk is reduced, and the precision of operation auxiliary diagnosis is improved.

The invention provides a positioning method and electronic equipment, and relates to the technical field of terminals. According to the method and the device, the initial position of the positioned second electronic equipment can be quickly determined according to the auxiliary judgment signal transmitted between the pre-configured auxiliary judgment units in the first electronic equipment and the second electronic equipment, so that the positioning success rate is effectively improved, and meanwhile, the initial abnormal position positioning time can be greatly shortened. The method is applied to first electronic equipment, the first electronic equipment comprises a first wireless positioning module, auxiliary judgment units are arranged in M signal areas of the first wireless positioning module, the optical angles of the auxiliary judgment units are smaller than or equal to the signal coverage angles of the corresponding signal areas, and M is a positive integer. The method comprises the following steps: receiving an auxiliary judgment signal sent by second electronic equipment through a first auxiliary judgment unit; and judging the validity of target positioning data acquired by the first electronic equipment through the first wireless positioning module according to the auxiliary judgment signal.

The invention discloses a robot motion control method and system based on voice interaction, and relates to the technical field of robot motion control, and the method comprises the steps: extracting each segment of independent audio signal and keywords conforming to a preset voice library from mixed multi-channel audio based on a blind source separation technology; and selecting the keyword with the highest confidence coefficient as an execution command word, obtaining a standard track of an action corresponding to the execution command word, generating an executable simulation track of the execution command word in combination with real-time environment information, and controlling the robot to execute motion according to the simulation track after judging that the simulation track is safe and feasible. According to the method, the multi-channel mixed audio is separated into the independent signals, the execution command word is determined after the voice sources of different users are distinguished, the motion trail generated by simulating the conditions of the corresponding preset action and the enforceable environment is utilized, and the multi-dimensional characteristics of the motion trail and the standard trail of the preset action are compared and analyzed; and evaluating the feasibility of the motion trail corresponding to the execution command in the environment.

The invention belongs to the technical field of intelligent traffic, and provides a distributed optical fiber road sensor on-site manufacturing and road risk monitoring and early warning method. Comprising the steps of optical fiber unit manufacturing, concave shallow slot cutting, sensor construction, data acquisition, road surface state data conversion, scattered light time domain signal interval division, frequency domain conversion and filtering processing, multi-mode feature extraction and road surface condition recognition. According to the invention, the concave shallow slot is cut at the edge of the road, and the flat ribbon-shaped optical fiber unit is fixed in the shallow slot by using polyurea, so that the multifunctional distributed optical fiber road sensor which is integrated with the road surface, high in sensitivity, small in size, simple to install, convenient and rapid to maintain and repair and low in cost is constructed; through a zero crossing point and a noise threshold value, normal time domain signal interval judgment is optimized, and the effect of subsequent filtering processing is improved; a road surface condition identification data model is constructed through a multi-modal fusion technology, and the identification precision of multiple road surface abnormal conditions and the positioning precision of abnormal events are improved.

The invention relates to a non-contact pulse signal extraction method and system based on a face video, and the method comprises the steps: preprocessing face video stream data, constructing a pulse signal extraction model, inputting the preprocessed face video stream data into the pulse signal extraction model for training, and obtaining a trained pulse signal extraction model; performing non-contact pulse signal extraction by using the trained pulse signal extraction model; according to the invention, a wavelet difference fusion module is provided, so that the signal extraction stability and precision of the model in a complex dynamic scene are effectively improved; sensing local and global spatial dependence through a self-adaptive multi-scale expansion convolution module, and strengthening the response of a key physiological signal region; a linear Mama module is designed to achieve low computing resource overhead, meanwhile, a stable and extensible time sequence feature expression framework is constructed, high modeling capacity is kept, and meanwhile good generalization performance and actual deployment advantages are achieved.

The invention relates to an ultrasonic fluid metering precision improving method and related equipment, and the method comprises the steps: exciting a first ultrasonic transducer through an excitation wave sequence, enabling a second ultrasonic transducer to work, obtaining a received digital signal corresponding to the excitation wave sequence, and calculating the signal-to-noise ratio of the received digital signal; wherein the excitation wave sequence is a combination of a main wave and a self-damping wave, and the signal-to-noise ratio is a ratio of a peak-to-peak value of a receiving signal area to a peak-to-peak value of a noise area; judging whether the signal-to-noise ratio is greater than a signal-to-noise ratio threshold value or not, if not, adjusting the occupation time of the high and low levels of the self-damping waves, and executing the excitation work again according to the adjusted excitation wave sequence until the actual signal-to-noise ratio is greater than the signal-to-noise ratio threshold value; and determining the corresponding excitation wave sequence when the actual signal-to-noise ratio is greater than the signal-to-noise ratio threshold as a target excitation wave sequence, and exciting the ultrasonic transducer to work according to the target excitation wave sequence so as to execute metering operation. According to the method, the measurement precision is remarkably improved while the hardware cost is not increased.

The invention provides a method for measuring condensate oil critical flow pressure and critical flow saturation by combining one-dimensional and two-dimensional nuclear magnetic resonance technologies, and belongs to the technical field of oil and gas reservoir development. The technical problems that in the condensate gas reservoir development process, the measurement precision of the critical flow pressure and the critical flow saturation of condensate oil is not high, and the test method is complex are solved. According to the method, the semaphore of the hydrogen-containing fluid in the rock core is detected by combining a one-dimensional nuclear magnetic resonance T2 spectrum testing technology and a two-dimensional nuclear magnetic resonance T1-T2 spectrum testing technology, an artificial partitioning method is optimized through an improved differential spectrum method, errors caused by artificial signal region partitioning are avoided, the gas condensate signal recognition precision is greatly improved, and the method is suitable for popularization and application. The critical flow pressure and the critical flow saturation of the gas condensate can be measured more quickly and accurately, so that the flow rule of the gas condensate and the gas condensate in the stratum can be researched better, a more reasonable development scheme can be made for a gas reservoir, and theoretical guidance is provided for improving the recovery ratio of the gas condensate.

The invention provides an indoor fingerprint positioning method based on area fitting, which relates to the field of fingerprint positioning, and comprises the following steps: dividing a plurality of triangular areas, and carrying out signal intensity fitting on each triangular area by adopting a signal area fitting method to obtain a plurality of signal intensities in one-to-one correspondence with virtual reference points; calculating to obtain an obstacle area through an obstacle identification algorithm, calculating to obtain an AP fingerprint map with a passable area according to the obstacle area, and establishing a retrieval fingerprint database corresponding to the AP fingerprint map; selecting a passable area with the minimum distance in the retrieval fingerprint database, and matching a reference point in the AP fingerprint map to realize positioning; by adopting the method, the signal intensity fitting of the whole indoor area can be carried out only by measuring the sparse reference points. A double-layer fingerprint database is constructed, positioning errors can be remarkably reduced, the number of fingerprint database data is greatly reduced, and therefore the online matching duration is shortened.

The invention discloses an intelligent distinguishing system and method for surface defects of a non-welding bottle type container, and particularly relates to the technical field of magnetic powder detection. Electromagnetic interference in an industrial field is simulated by arranging different types of electromagnetic interference sources, and reference measurement and comprehensive analysis are performed on surface magnetic field distribution of a non-welding bottle type container and defect signal intensity change of magnetic powder detection equipment under a step-by-step interference condition, so that the anti-interference capability of the equipment is evaluated. The accuracy of a detection result is divided into different grades, repeated detection and abnormal degree evaluation are performed on an area with an incomplete accuracy result, and if the abnormal degree is high, the area is marked as a pseudo signal area and fed back to a machine learning model to gradually update the model discrimination capability, so that the problem of false defect misjudgment under electromagnetic interference is effectively reduced, and the accuracy of the detection result is improved. And the accuracy and reliability of the detection system in a complex interference environment are improved.

The invention discloses a cold-chain pork quality dynamic evaluation method and system based on multi-source data fusion, and relates to the technical field of data processing and intelligent evaluation, and the method comprises the following steps: collecting multi-source signal information of a whole cold-chain transportation process, sorting according to a unified time sequence, continuously arranging all signals on a time axis, and carrying out data processing on all the signals; a complete dynamic record is formed; and extracting each time interval and signal amplitude change track from the formed dynamic record, analyzing a signal section with repeated wave crests in a short time, and generating a preliminary data manuscript for reflection interference judgment. According to the invention, through time sequence arrangement and dynamic association of multi-source signals, a wave crest track analysis mechanism is constructed, real-time identification and correction of reflection interference are realized, and continuity and accuracy of a gas concentration curve are ensured; and by generating a reflection source position list and adjusting numerical value distribution of repeated fragments, false fluctuation is eliminated, and the stability and reliability of cold-chain pork quality evaluation are improved.

The present invention discloses an image processing-based ultrasonic measurement method for hepatic steatosis. The method comprises preprocessing a set of RF signals from the abdominal region, including the liver, acquired by ultrasound imaging and converting the signals into a grayscale image; processing the grayscale image to obtain a first segmentation template for the liver region; removing interference signal regions from the first segmentation template to obtain a second segmentation template for the liver region; labeling the grayscale image with the second segmentation template to obtain a region of interest; and calculating an attenuation coefficient within the region of interest to characterize the degree of hepatic steatosis. This method allows the attenuation coefficient to be calculated only for sampling points within the liver and non-lesion areas, achieving more accurate hepatic steatosis measurement.

The invention relates to the technical field of intelligent door locks, in particular to an indoor and outdoor unlocking signal distinguishing method and system based on an angle sensor.The method comprises the steps that position data, angle data, trend angle data and distance data of a target object are collected, and space coordinates of the target object are generated by combining the data; according to a preset coordinate range of an authorized unlocking area and an unlocking forbidding area, judging an area type to which the space coordinate of the target object belongs; if the space coordinate of the target object is located in the authorized unlocking area and meets a preset unlocking condition, executing an unlocking operation; if the space coordinate of the target object is located in the unlocking prohibition area or does not meet the preset unlocking condition, locking operation is executed. According to the invention, multi-dimensional information such as measurement data of the angle sensor and the UWB module is comprehensively utilized, indoor and outdoor unlocking signals are accurately distinguished, the problem that indoor and outdoor signals are easy to misjudge in a special-shaped house type is effectively solved, and the unlocking accuracy is greatly improved.

The present disclosure relates to a method and system for calibrating a loudspeaker system in an environment (1). The loudspeaker system comprises an audio device (10) with a first and second loudspeaker arranged with a predetermined horizontal separation. The method comprises the steps of emitting (S2a, S2b) a first and second calibration audio signal from the first and second loudspeaker (11) of the audio device (10), wherein the second calibration audio signal is distinguishable from the first calibration audio signal. The method further comprises receiving (S3a, S3b), with a first external microphone (20) the first and second calibration audio signal, determining (S4) the position of the first external microphone (20) relative to the audio device (10) and calibrating (S8) the loudspeaker system based on the determined position of the first external microphone (20).

The embodiment of the invention provides a memory chip, a logic chip, a chip stacking structure and a memory. The central point of the active surface of the memory chip and the adjacent region of the central point are defined as a global signal region; the global signal area is penetrated by n conductive through hole groups, and all conductive through holes in the same conductive through hole group are used for transmitting the same global signal; and the i-th first driving circuit is configured to receive the i-th global signal from the i-th conductive through hole group through the i-th first OR logic circuit and send the i-th global signal to an internal circuit of the memory chip.

The present disclosure provides a memory chip, a logic chip, a chip stack structure, and a memory. In a global signal region of the logic chip, a plurality of conductive via groups are provided, where four normal conductive vias in an ith conductive via group are electrically connected in one-to-one correspondence to four internal ports in an ith internal port group, and a correspondence relationship between the four normal conductive vias and the four internal ports is determined based on a select signal.

The invention discloses a method for improving vibration monitoring accuracy based on distributed optical fiber Sagnac interference, and the method specifically comprises the steps: obtaining a vibration signal through a distributed optical fiber Sagnac interferometer, and carrying out the signal filtering and phase difference calculation; calculating the wave number or period and amplitude change characteristics of the vibration signal in unit time, if the vibration signal is a narrow-band vibration signal, discarding the vibration signal, otherwise, extracting the frequency spectrum characteristics of the vibration signal by using fast Fourier transform (FFT), if the vibration signal is a narrow-band vibration signal, discarding the vibration signal, and if the vibration signal is a wide-band vibration signal, obtaining the dominant frequency distribution and bandwidth of the signal; intelligent classification is further carried out on the vibration signals based on an R-CNN deep learning model, if the vibration signals are narrow-band vibration signals, the vibration signals are discarded, and otherwise, a wide-band vibration signal area is obtained; calculating the position of a seismic source in the broadband vibration signal area by adopting a trap spectrum method, and triggering an alarm system; if the broadband vibration signal is not obtained in the above step, the vibration signal is an invalid signal, and positioning is not carried out.