33 results about "High sensitive" patented technology

The invention relates to the technical field of state monitoring, in particular to an intelligent cervical vertebra state data monitoring system which comprises a data monitoring prediction module, a cervical vertebra risk analysis module, a cervical vertebra intervention making module and an intervention effect evaluation module. According to the invention, through real-time data analysis and continuous monitoring of the posture and pressure change of the cervical vertebra, high-sensitivity tracking of the health condition of the cervical vertebra is realized, the system adopts dynamic probability estimation, the health state can be updated in real time, the accuracy of abnormal recognition is improved, and the accuracy of abnormal recognition is improved by integrating data analysis of the posture and the pressure. The system can identify potential health risks in an initial stage, early warning of risk factors enables medical intervention to be carried out more timely and effectively, the demand and cost of long-term treatment are reduced, a targeted intervention plan is adjusted according to real-time data, it is ensured that each intervention measure accurately matches the current demand of a patient, and the patient experience is improved. The intervention process is optimized, and the cervical vertebra rehabilitation speed and effect are improved.

The invention relates to an icing thickness detection method and device, relates to the technical field of aircraft icing thickness data processing, solves the problem that the thickness of a thin ice layer is difficult to effectively identify, and realizes high-sensitivity identification in the initial stage of icing and high-precision quantitative detection in the whole process of icing. The method comprises the following steps: receiving a plurality of first reflection signals after ultrasonic waves penetrate through an aluminum layer and an ice layer and second reflection signals after the ultrasonic waves penetrate through the aluminum layer; removing overlapped signals among the plurality of first reflection signals to obtain a plurality of third reflection signals which are independent from each other; and calculating the second reflection signal and the third reflection signal to obtain the icing thickness.

The invention discloses a trusted digital space-oriented dynamic data sharing security method and system, and relates to the technical field of dynamic data sharing. The isomorphic design enables dynamic attributes such as aging scores and the like to be directly embedded into an access strategy to form a mathematical basis of a dynamic strategy, and when the data aging state changes, a promise value updated by a dynamic credible data label design module automatically triggers strategy re-evaluation of a CP-ABE data sharing module to realize cross-module penetration of the dynamic attributes; in a medical data sharing scene, data timeliness is confirmed to reach the standard and to be compliant with the identity of a visitor through single interaction, so that redundant overhead caused by multiple times of verification in a traditional scheme is avoided; according to the invention, the cross cooperation realizes the attribute-strategy-verification integrated control in the dynamic data circulation process, and when the data aging state changes, the smart contract automatically coordinates the label update and strategy re-evaluation, constructs a dynamic response closed loop on the cryptographic level, and provides a provable and safe mathematical base for the high-sensitivity data sharing.

The invention provides a packaged echo wall mode bottle-shaped microcavity sound pressure sensor based on sound focusing enhancement. The packaged echo wall mode bottle-shaped microcavity sound pressure sensor comprises a packaging substrate, an echo wall mode bottle-shaped microcavity, an optical fiber pyrometric cone and an acoustic focusing lens, wherein the optical fiber pyrometric cone and the bottle-shaped microcavity form a coupling system, and the thinnest part of the cone region of the optical fiber pyrometric cone is coupled with the equatorial plane of the bottle-shaped microcavity; the bottle-shaped micro-cavity is provided with a micro-cavity body, a long handle and a short handle, one end of the long handle and one end of the short handle are respectively connected with the micro-cavity body, the other end of the long handle and the two ends of the optical fiber pyrometric cone are fixed on the packaging substrate, and the other end of the short handle is suspended; the acoustic focusing lens is provided with a hollow structure, covers the coupling system and fixedly covers the upper surface of the packaging substrate, so that a sound pressure focusing structure is formed. The two ends of the optical fiber pyrometric cone are fixed, and only one long-handle end of the echo wall mode bottle-shaped microcavity is fixed, so that a cantilever beam structure is formed. The sound pressure sensor can realize ultrahigh sensitive sound pressure sensing.

This invention discloses a blockchain-based hierarchical sharing method for medical data. This method encrypts files with monotonic access structures according to different levels of sensitivity. The secret value is passed upwards through a secret value sharing mechanism, transferring the secret value of the low-sensitivity ciphertext to the high-sensitivity ciphertext. During the data decryption stage, a rapid comparison is performed to find the file with the highest sensitivity that the user can satisfy, and a pre-decryption is performed. This makes it easier to decrypt sensitive files in the file set, improving access control and effectively reducing the number of decryption steps in the medical data sharing process. This truly achieves multi-level attribute data sharing while ensuring privacy and security.

The invention relates to the technical field of nursing devices, and discloses an invisible stoma vibration underwear reminding and monitoring system, which comprises a distributed resistance network arranged on underwear and a microcontroller, the microcontroller establishes a reference voltage division ratio between network nodes, continuously monitors the comparison difference between the current voltage division ratio and the reference voltage division ratio, and drives the reminding device when the difference exceeds an abrupt change threshold value. The monitoring focus is transferred from tracking complex and changeable physiological parameters to guarding the electrical integrity of a stable physical system, the relative stability of the partial pressure ratio is utilized, global interference such as body temperature or deformation can be structurally inhibited, meanwhile, high sensitivity is shown for specific local electrical mutation of leakage, and the leakage detection method is suitable for the leakage detection of the leakage. Therefore, high-reliability early warning of the leakage risk under extremely low power consumption is realized.

The invention discloses a medical data hierarchical sharing method based on a block chain, and the method comprises the steps: encrypting a file with a monotonic access structure according to different sensitivities, and transmitting a secret value of a secret message with low sensitiveness to a ciphertext with high sensitiveness through a method for transmitting and sharing the secret value upwards; in the data decryption stage, the highest-sensitivity file which can be met by a user is found through quick comparison and pre-decryption is carried out once, the sensitivity file in the file set can be decrypted more easily, access control is better carried out, the number of times of decryption in the medical data sharing process is effectively reduced, and the user experience is improved. And data sharing of multi-level attributes under the condition of ensuring privacy security is realized in a real sense.

This invention provides a localized differential privacy protection method for medical data. It employs a perturbation algorithm to perturb the data, with the privacy budget set as follows: sensitivity levels are applied to the relevant disease types; based on the sensitivity level, a corresponding privacy budget is set for each disease, where higher sensitivity levels correspond to smaller privacy budget values. This invention assesses disease sensitivity from multiple dimensions, including genetic risk, social discrimination, and treatment costs, achieving differentiated dynamic privacy budget allocation. Smaller values ​​are allocated to highly sensitive diseases to enhance privacy protection, while larger privacy budget values ​​are allocated to less sensitive diseases to reduce data distortion. This solves the problem of insufficient targeted protection caused by fixed privacy budgets in existing methods. Furthermore, the accuracy against background knowledge attacks is significantly lower than 1.2 times that of random guessing, and the privacy protection effect meets the stringent requirements of the formal definition of localized differential privacy.

The present application relates to a kind of safety interlocking methods, specifically, a kind of safety interlocking methods of pulse power device, solve the technical problem that existing safety interlocking system cannot meet single operation pulse power device laboratory strong electromagnetic interference / ionizing radiation, wide range multi-point deployment requirement.The safety interlocking methods of pulse power device, comprising the following steps:1】The equipment in safety interlocking system is classified as high sensitive equipment and low sensitive equipment;The area in safety interlocking system is divided into low interference area and high interference area;2】to low sensitive device in low interference area of safety interlocking system, low sensitive device in high interference area, high sensitive equipment of low interference area, using conventional protection means;To high sensitive equipment in high interference area of safety interlocking system, build reinforced interlocking system;N is greater than or equal to 1 integer;3】operation, to realize the reliable safety interlocking of pulse power device.

The invention relates to an MRA intracranial aneurysm detection method, which comprises the following steps: acquiring MRA image data to be detected and extracting a region of interest to obtain local image blocks around a blood vessel and a focus; the local image blocks are sent to a segmentation network, the trunk of the segmentation network adopts a UNet architecture of a residual structure, depth feature extraction is performed on the to-be-segmented aneurysm image blocks to obtain multi-scale features, and feature maps of different scales and an up-sampling result are fused through a context attention modulation module to obtain feature segmentation results of different scales; and the obtained segmentation result is sent to a classification network, the classification network adopts an ensemble learning device, various randomly enhanced lesion area images are respectively input into the ViT network to predict the aneurysm probability, and ensemble learning is carried out on output results of each ViT network to obtain the final prediction aneurysm probability. Compared with the prior art, the method has the advantages that the balance of high sensitivity and low false positive rate is realized, and the detection precision of the MRA intracranial aneurysm is effectively improved.

The present invention relates to the technical field of image recognition. Provided are a cancer detection method and apparatus based on a medical image, and a device, a medium and a product. The method comprises: inputting a medical image into an image classification model, so as to obtain an image classification result that is output by the image classification model, wherein the image classification result is used for representing a recognition result of performing cancer identification on the medical image; inputting the medical image into a semantic segmentation model, so as to obtain a semantic segmentation result that is output by the semantic segmentation model, wherein the semantic segmentation result is used for indicating whether there is a lesion region in the medical image; on the basis of the semantic segmentation result and the image classification result, determining whether it is necessary to perform detection on a corresponding organ part in the medical image; and when it is necessary to perform detection on the corresponding organ part in the medical image, outputting detection prompt information. The present invention can realize high-efficiency, high-sensitivity, and high-accuracy cancer detection.

The utility model relates to the technical field of thermos, in particular to a thermos capable of outputting water at a constant temperature, which comprises a high-sensitivity detector, a water outlet temperature sensing piece, a heating wire, a thermos and at least two indicator lights, the water outlet temperature-sensing piece is arranged at a water outlet of the hot water kettle, a water receiving level is arranged below the water outlet, the water outlet is provided with a flow guide pipe with a pipe opening facing the water receiving level, the flow guide pipe is provided with a heating cavity along a pipeline of the flow guide pipe, and the heating wire is wound in the heating cavity; when water flows out of the kettle, if the water outlet temperature sensing piece detects that the water outlet temperature is lower than the preset temperature, the heating wire heats water flowing through the flow guide pipe through the heating cavity; the indicating lamps are arranged along the outer edge of the water receiving level, at least one indicating lamp is arranged at the upper end and the lower end of the water receiving level, and the high-sensitivity detector is arranged in the center of the water receiving level. When the high-sensitivity detector senses that the user is close to the received water, the indicating lamp prompts the user in a preset lighting mode; the problem that the water outlet temperature of an existing constant-temperature water heating kettle is too low is solved, and the safety of constant-temperature water outlet is guaranteed.

The invention relates to the technical field of differential pressure sensors, and discloses a side line differential pressure sensor and an underwater device.The side line differential pressure sensor comprises a sensing unit, a cilium structure, a sensor bonding substrate and a packaging shell, the interior of the packaging shell is hollow to form a containing space, and two coaxially-arranged flow guide holes are formed in the side wall of the packaging shell; the sensor bonding substrate is positioned in the accommodating space and is fixedly connected with the bottom of the packaging shell; the sensing unit is arranged on the sensor bonding substrate and is electrically connected with the sensor bonding substrate; the cilium structure is arranged on the sensing unit, and the cilium structure and the two flow guide holes are coaxially arranged; the flow guide holes are used for guiding fluid to form a pressure difference on the two sides of the cilia structure, so that the cilia structure receives a pressure difference signal of the fluid. According to the invention, high-sensitivity detection of weak fluid pressure difference can be realized.

The invention relates to the technical field of deformation monitoring, in particular to a deformation monitoring device and a using method, and the device comprises a first sensor unit which is arranged at a to-be-monitored position; the second sensor unit is arranged in a central monitoring station far away from the first sensor unit; the measuring unit is mounted in the first sensor unit and the second sensor unit; the change information of the environment where the first sensor unit is located is indirectly obtained by detecting the state change of the measuring unit in the second sensor unit. The beneficial effects of the present invention are that by using the high-sensitivity first sensor unit, the small change of the structure can be accurately captured, thereby improving the overall precision and sensitivity of the monitoring system. Through the measurement unit array installed in the inner cylinder and the interaction between the measurement unit array and the outer cylinder, the micro deformation of a monitored object (such as a soil, rock or concrete structure) can be accurately captured.

The invention discloses an intelligent private data fragmentation and recombination method and system based on AI, and relates to the technical field of data protection. Comprising the following steps: S1, constructing a medical knowledge graph: identifying electronic medical record data, a medical image report and a laboratory detection result, taking identified entities as knowledge graph nodes, constructing the medical knowledge graph, and marking clinical importance levels and sensitive data types; s2, intelligent fragmentation: according to the set clinical value-privacy risk two-dimensional evaluation matrix, performing association maintenance fragmentation on the high clinical value data, and performing differential privacy fragmentation on the high sensitive data; and S3, data recombination: according to a fragmentation result, storing the fragments in heterogeneous nodes, and meanwhile, according to an access permission level, carrying out differential data recombination on the fragments. Therefore, while the data security is ensured, the semantic integrity after recombination is also ensured, and intelligent balance between privacy protection and clinical value of the medical data is realized.

The invention discloses a surface defect detection method based on a line-scan digital camera, and relates to the technical field of image data processing and image analysis. A space-time fusion module, a dynamic up-sampling module and a multi-scale feature pyramid network are introduced into an image sequence formed by continuous scanning of the line-scan digital camera; the characterization capability on the defects of the micro solder balls under the condition of high-speed acquisition is integrally enhanced; time attention and space attention are jointly modeled, multi-frame information is referred to at the same space position, weights are adaptively distributed according to inter-frame similarity and time intervals, transient defect signals such as cracks and bridging occurring in a short time are amplified, stable background constraints are provided by long-distance frames, and the accuracy and the reliability of the system are improved. Therefore, high sensitivity and discrimination capability to real defects are still kept when motion blur and noise exist.

The invention discloses an anti-single particle risk system for a spacecraft, and the system is characterized in that a filtering module is connected to a power module, and is used for filtering noises and peaks with different frequencies in the power module; and the latch-up effect caused by the influence of transient voltage fluctuation on the CMOS in the chip is prevented. The signal limiting module is connected to the signal line and used for limiting the trigger current of the signal. And latch-up caused by CMOS well current abrupt change in the chip due to large current generated by the single event effect is prevented. And the level conversion module is connected to the high-sensitivity device and is used for ensuring the stability and the reliability of the power supply. And the surge protection module is connected to the power loop and is used for absorbing transient voltage, so that overvoltage protection is realized, and false triggering or latching of a subsequent circuit is prevented. And all power supply lines adopt a double-point double-line design, so that single-point failure caused by breakdown of a certain power distribution switch by a single particle is prevented. The control unit adopts a hot and cold dual redundancy measure of a host and a standby, and the management power supply module carries out hot backup, so that the normal work of the management power supply module is ensured.

The invention discloses a deformation monitoring system and method for an energy storage earth surface of an aquifer, and relates to the field of deformation monitoring regulation and control. According to the deformation monitoring system and method, the current earth surface is subjected to partition processing based on a model, geological environment parameters are synchronously collected, and the deformation sensitivity level of each partition is accurately output through a constructed associated condition set; the comprehensiveness and the accuracy of risk identification are obviously improved; the maintenance frequency, the inspection frequency and the sensor parameters are automatically configured when the proportion of the medium-high sensitive area exceeds the threshold value, maintenance is implemented, and time consumption and cost are recorded until the proportion of the medium-high sensitive area is reduced to be below the threshold value, so that resource waste is effectively avoided, and the timeliness of maintenance is ensured; when the current maintenance time consumption or cost is monitored to exceed a threshold value, a microcosmic adjustment mechanism is triggered, sensor parameters, maintenance frequency and inspection frequency are iteratively optimized, adjusted data are input into a model for evaluation again, and partition is performed again when conditions are not met, so that the maintenance efficiency and economy are remarkably improved.

Systems and methods are provided for detecting defects on a demagnification mask. One system is configured to generate different stacked difference images for a plurality of instances of a first patterned region in different rows on a wafer based on images generated for the first patterned region in the different rows. The system is also configured to perform double detection based on the different stacked difference images. The system then identifies defects on the demagnification mask based on defects detected by the double detection. As described further herein, the systems and methods detect defects from multiple demagnification mask rows printed on a wafer, which can reduce noise and enable detection of substantially small reticle defects. Embodiments are particularly useful for extreme ultraviolet (EUV) demagnification mask and multi-die demagnification mask (MDR) high sensitivity reticle defect detection.

The utility model relates to the technical field of fishing floats, specifically an ultra-thin, ultra-light, highly light-transmitting, highly sensitive flat-tail float, comprising a float tail, a float body and a float foot. The float tail is a flat float tail, comprising a float tail frame and a paint film arranged on the float tail frame. The float tail frame mainly plays a supporting role, so that the float tail can easily stand up in the water, and the paint film mainly makes it eye-catching when viewed. Compared with the prior art, the utility model can increase the fish catching rate while people are fishing for leisure, avoid eye fatigue caused by staring at the float for a long time, greatly reduce eye fatigue when viewing the float, increase the fun of fishing, and better relax the body and mind. The thickness is much lower than that of a flat float tail made of any material, and the light transmittance is high, so the best eye-catching state can be achieved regardless of whether the float is viewed in the direct light or against the light.

The present application provides a kind of trace thiabendazole detection method and system of terahertz metamaterial resonance enhancement, the method comprises: based on the characteristic peak frequency of single period structure and thiabendazole, the parameter information of the metamaterial sensor is constructed, and modeling simulation is carried out according to parameter information, to obtain the terahertz metamaterial with L type composite double-peak structure;Preparation thiabendazole sample, and utilize terahertz metamaterial to carry out spectrum collection to thiabendazole sample, to obtain corresponding spectral data;Support vector regression model is constructed, and the optimization algorithm of weighted vector average is integrated, and global optimization of hyperparameter is carried out, to construct corresponding optimization model;According to spectral data and optimization model, corresponding detection model is constructed, and nondestructive testing of trace thiabendazole is realized using detection model.The present application not only realizes high sensitive quantitative analysis to trace thiabendazole residue, also verifies the feasibility and superiority of INFO optimization algorithm in the field of spectral detection.

The invention discloses an unmanned aerial vehicle case fan blade fault detection method and system, and belongs to the technical field of fan blade fault detection. The system comprises a real-time data acquisition module, a dynamic reference prediction module, a residual data acquisition module, a hotspot coupling region extraction module, a fault feature extraction module and a fan blade state output module. According to the method, the heat flux density gradient field is constructed and the hot spot coupling area is marked, so that the cross correlation coefficient of the heat flux spectrum and the vibration spectrum in the hot spot coupling area is analyzed, the thermal interference coefficient between the board cards is calculated, and high-sensitivity detection on the fan blade crack under the condition of multi-board card superposition thermal interference is realized; the problem that in the prior art, when a multi-board-card superposition thermal interference condition is adopted, fan blade crack recognition is prone to false alarm and missing alarm is solved.

The present invention discloses a medical data hierarchical access control and sharing method with on-chain and off-chain collaboration, including the following five functional modules: attribute authorization center, data owner, data user, interstellar file system, main-side chain module; the workflow is divided into 4 stages: initialization stage, ciphertext storage stage, on-chain stage and access stage. The method described in the present invention realizes fine-grained access control and hierarchical attribute encryption in the process of medical data sharing; hierarchical attribute encryption at three levels of high sensitivity, medium sensitivity and low sensitivity is implemented according to the sensitivity of medical data, and a data storage method combining on-chain and off-chain is adopted to solve the blockchain storage problem, and the main-side chain is divided into one main and three sides according to the data sensitivity to store the corresponding ciphertext address and symmetric key, and the multiplication homomorphic RSA cryptographic system is used to ensure the attribute privacy during the authorization verification period, and the P-TL smart contract is used on the side chain to verify the timeliness and correctness of the entire transaction.

The present application relates to nursing device technical field, disclose a kind of invisible stoma vibration underwear reminding monitoring system, including one distributed resistance network and microcontroller being arranged in underwear;Microcontroller is compared difference by establishing reference voltage division ratio between network nodes, and continuously monitors current voltage division ratio with the reference, when difference exceeds mutation threshold, drive reminding device.The present application shifts monitoring focus from tracking complex physiological parameters to guarding the electrical integrity of a stable physical system by using the relative stability of voltage division ratio, which can suppress global interference such as body temperature or deformation in structure, while showing high sensitivity to leakage-specific local electrical mutations, thereby achieving high-reliability early warning of leakage risk at very low power consumption.

The invention provides a data anonymization method and device, electronic equipment and a storage medium, and the method comprises the steps: classifying medical data, clustering each piece of medical data according to a preset K value, calculating the sensitivity of the medical data contained in a cluster, and if the sensitivity is lower than a preset sensitivity threshold, generalizing each piece of medical data in the cluster, and if the information loss between the generalized data and the original medical data is less than the preset information loss, issuing the generalized data for data sharing. By ensuring that the sensitivity in the clustering cluster is lower than the sensitivity threshold value, the sensitivity of the privacy data in the clustering cluster is controlled to be at a certain level, so that aggregation of high-sensitivity attributes in the clustering cluster is avoided, similarity attacks and background knowledge attacks are effectively resisted, the data privacy protection strength is improved, and the data security is improved. And by controlling the information loss between the generalized data and the original medical data, the information loss caused by data generalization is reduced, and the reliability of the data is ensured.

The invention discloses a method for classifying defects in a picture. Performing image alignment on the detection image and the normal image, subtracting the detection image from the normal image, and obtaining a brightness difference absolute value to obtain a difference image; and performing high-sensitivity detection on the difference image to confirm whether the detection image has defects or not. And when a defect is detected in the high-sensitivity detection, carrying out first classification method detection on the detection image. And when the defect is the first type or no classification result exists, carrying out picture line width detection on the normal picture. And when the line width of the normal image is greater than the first preset pixel size, performing low-sensitivity detection on the difference image to confirm whether the detection image has defects or not. And when the line width of the normal image is smaller than or equal to the first preset pixel size and the defect has no classification result, carrying out second classification method detection on the detection image.

The invention discloses an efficient federal learning method and system. According to the method, firstly, through model privacy measurement and sensitivity analysis, privacy risk assessment and grading are carried out on model parameters, homomorphic encryption is only carried out on high-sensitivity parameters, light disturbance is applied to medium-sensitivity parameters, and plaintext transmission is kept on low-sensitivity parameters, so that a'key encryption and non-key plaintext 'hybrid protection mechanism is realized. A server generates a global encryption mask according to sensitivity information uploaded by a client, and performs security aggregation in a ciphertext domain and a plaintext domain respectively. And the client carries out decryption and adaptive updating after receiving the global model, dynamically adjusts an encryption strategy, and realizes continuous balance between privacy protection strength and model precision. According to the invention, the communication and calculation overhead is effectively reduced, the security and training efficiency of the federal learning system are improved, and the method is suitable for privacy collaborative learning of multiple scenes such as medical treatment, industry and Internet of Things.

The invention provides an entropy production region sampling system and method, electronic equipment and a computer readable storage medium, and aims to directly calculate a weight based on a physical parameter change rate and realize a millisecond-level response speed. The feature weight is automatically adjusted through working condition recognition, and high detection precision can still be kept in a variable working condition scene. The real-time identification of the high-entropy production area is realized, the sampling density is improved, and the resource consumption of the low-value area is reduced. Under the transient working condition, the system rapidly captures feature changes by dynamically adjusting weight parameters, and missing detection of key events is effectively avoided. The hierarchical sampling strategy enables computing resources to act on a high-sensitivity area in a concentrated mode, and the overall energy consumption is remarkably reduced while the monitoring precision is guaranteed.

Embodiments of the present application provide a kind of processing method, system and equipment of merchant registration information, the method comprises: receiving the registration information of multiple types uploaded by merchant;According to the type of the registration information, dynamically determine the comprehensive sensitivity of each type registration information;According to the comprehensive sensitivity of each type registration information, determine the privacy level of each type registration information;According to the privacy level of each type registration information, the differential encryption processing is carried out to each type registration information, and encrypted registration information is obtained;The compliance verification is carried out to the encrypted registration information, and verification result is obtained;The verification result is fed back to the merchant.The present application can dynamically divide privacy level according to registration information type, implement differential encryption, both intensify security protection to high sensitive information, reduce the risk of leakage and tampering, avoid ordinary information excessive processing, reduce system overhead.