76 results about "Sensing applications" patented technology

The invention belongs to the technical field of remote sensing super-resolution images, and particularly relates to a remote sensing image super-resolution reconstruction method based on an adaptive gating Transform. The method comprises the following steps: S1, constructing a training set; s2, constructing a self-adaptive gated Transform super-resolution reconstruction network, and training the self-adaptive gated Transform super-resolution reconstruction network by using the training set, so as to obtain a self-adaptive gated Transform super-resolution reconstruction model; and S3, inputting a remote sensing low-resolution image to be reconstructed into the adaptive gating Transform super-resolution reconstruction model to obtain a super-resolution reconstruction image. The invention aims to break through the limitation of an existing method in the aspects of efficiency, detail recovery and multi-scale fusion, provides a super-resolution solution with high fidelity and high efficiency for remote sensing images, and meets the urgent demand of refined remote sensing application for high-quality images.

The invention provides a refractive index sensor based on surface lattice resonance, belongs to the technical field of micro-nano sensors, and aims to solve the problem that the sensitivity and quality factor are low when the environmental refractive index is detected. The structure of the refractive index sensor sequentially comprises a substrate, a metal layer, a dielectric layer and a periodic structure layer from bottom to top, the periodic structure layer is an array formed by periodically arranging metal nanoparticles according to a rule, and the metal nanoparticles are hemispherical metal nanoparticles. The sensor device provided by the invention can realize high refractive index sensitivity and high quality factor, the refractive index sensitivity reaches 562.42 nm / RIU, the quality factor (FOM) is 54.38 RIU-1, and the sensor device is very suitable for biomedical sensing application.

A triboelectric generator can include respective contact members including a first contact member and second contact member. The respective contact members can be movable with respect to each other such that the respective contact members separate from each other in a first configuration and contact each other in a second configuration. The first contact member can include a first conductive layer and a contact layer. The second contact member can be spaced apart from the first contact member in the first configuration and can include an insulating contact layer and a second conductive layer. The insulating contact layer can be configured to come into contact with the contact layer of the first contact member and the transition of the respective contact members from the first configuration to the second configuration can create triboelectric charges. In some examples, the first contact member can include a non-contact insulating layer.

The invention provides an interface-stable and anti-fatigue Janus conductive hydrogel, a preparation method and sensing application, and the preparation method comprises the following steps: uniformly mixing acrylic acid, ethylene glycol dimethacrylate, a photoinitiator, ferric chloride hexahydrate and deionized water to obtain a support layer precursor solution; mixing acrylic acid, lauryl methacrylate, N, N '-methylene bisacrylamide and the nanocellulose suspension, performing ultrasonic treatment to obtain a Pickering emulsion, adding a photoinitiator into the Pickering emulsion, and uniformly mixing to obtain an adhesion layer precursor solution; and pouring the support layer precursor solution into a mold, then slowly pouring the adhesion layer precursor solution onto the support layer precursor solution, carrying out ultraviolet curing, taking out from the mold, and cleaning to obtain the Janus conductive hydrogel. According to the method, the Pickering emulsion phase separation and the charge shielding effect are combined through a simple and convenient one-step method, and the problems that a traditional multi-layer assembly process is complex in operation and unstable in interface are effectively solved.

Systems and methods are disclosed relating to the detection and correction of sensor misalignment for monitoring systems and applications in a cabin. For example, a misalignment between a current sensor state and a calibrated sensor state can be detected and quantified using appropriate test and reference images of sensor data. If a misalignment above a threshold is detected, the test image of sensor data can be used to generate and apply a corresponding calibration adjustment. The presented methods can be used to detect and correct sensor misalignment for use by autonomous machines, semi-autonomous machines, other types of ego machines, and / or other sensing applications.

Disclosed are example systems and methods for error checking in magnetic field sensing applications. In particular, described are example systems and methods for error checking in magnetic field sensors used for determining a rotation angle of an object that rotates. In some embodiments, a plurality of signals representative of a magnetic field generated by a magnetic target may be received. The plurality of signals may be combined to determine a value, and a determination made as to whether the determined value is an expected value. When the determined value is not an expected value, an output signal representing an error may be output.

Systems and methods are disclosed related to detection and correction of sensor misalignment for in-cabin monitoring systems and applications. For example, a misalignment between a current sensor state and a calibrated sensor state may be detected and quantified from corresponding test and reference frames of sensor data. When a threshold misalignment is detected, the test frame of sensor data may be used to generate and apply a corresponding calibration adjustment. The present techniques may be utilized to detect and correct sensor misalignment for use by autonomous machines, semi-autonomous machines, other types of ego-machines, and / or other sensing applications.

The invention discloses an embedded hardware sensing dynamic feedback and data acquisition control method, and particularly relates to the field of general control or regulation systems, which comprises the following steps of: establishing a complete sensing acquisition framework by initializing a hardware control parameter set, synchronously acquiring original physical data and environmental parameters of a sensor, and preprocessing the original physical data and environmental parameters into available measurement values; comprehensively evaluating the deviation between actual output and a target value based on a quantitative difference model, and realizing dynamic correction and real-time feedback optimization of software level control parameters through a gradient optimization algorithm; when the parameter optimization effect does not reach the expectation, a hardware-level calibration process is automatically triggered, and temperature drift, power supply fluctuation and other physical characteristic drifts are compensated; a closed-loop control link is formed through multiple rounds of acquisition verification, it is ensured that the data precision is stable and reaches the standard, the sensing precision stability and control reliability of an embedded system in a complex environment are remarkably improved, and the method is suitable for high-precision embedded sensing application scenes.

The invention discloses a multi-temporal optical remote sensing image robust registration method based on multi-scale joint similarity measurement, and the method comprises the steps: 1, inputting a dual-temporal image, and obtaining uniformly distributed control point pairs through SIFT extraction and interactive manual auditing; 2, constructing a global dense displacement field by using a thin-plate spline, completing coarse registration and partitioning according to an overlapping strategy; 3, performing three-stage coarse-to-fine template matching on each image block, inheriting an initial displacement value step by step, and realizing radiation difference and geometric deformation synchronous self-adaption by taking a product of normalized mutual information and a normalized cross correlation coefficient as joint similarity measurement; and 4, performing sub-pixel-level deformation correction on the reliable displacement field by using a local thin plate spline, and outputting a registration image and metadata. According to the method, a global sparse-local dense framework and a multi-scale progressive + joint measurement + quality constraint mechanism are coupled, and a high-robustness and high-precision registration solution is provided for quantitative remote sensing application such as change detection and disaster assessment.

The invention discloses an on-chip spectrum sensing structure, a pixel unit and a preparation method and application thereof. The on-chip spectrum sensing structure comprises a metal layer, a dielectric layer and a detector, nano-pore channels are formed in the metal layer and the dielectric layer, and the nano-pore channels extend into the dielectric layer from the surface of the metal layer; near-infrared light forms surface plasmon resonance at the interface of the metal layer and the dielectric layer in the nanopore channel, so that part of near-infrared light in a selected narrow wavelength range is transmitted to the detector, and a corresponding electric signal is formed. According to the on-chip spectrum sensing structure provided by the invention, near-infrared broadband calculation spectrum sensing with high spectral fidelity can be realized, radiation and ohmic loss are effectively inhibited by a nonlinear parameterized design framework, and high transmission efficiency is ensured; the multi-channel super-pixel system structure generated by the method realizes simultaneous point spectrum and snapshot hyperspectral imaging, and shows the potential of the compact platform for field deployment and chip spectrum sensing application.

The invention discloses a boundary perception gating cross-scale feature fusion method for a remote sensing image, belongs to the technical field of computer vision and remote sensing image processing, and particularly relates to the field of remote sensing target detection. Aiming at the problems of insufficient cross-layer alignment, boundary confusion, insufficient small target recall and the like in the prior art, the invention provides a boundary perception gating cross-scale feature fusion method for a remote sensing image. The method comprises the following steps: constructing an Epag module containing Scharr edge prior and logit space fusion, and realizing dual-branch feature adaptive fusion; designing an SAFM module with channel separation and multi-scale pooling, and completing spatial adaptive enhancement; the two modules are integrated at the neck of a detection network, and multi-scale features are output through top-down gating fusion and spatial modulation. According to the method, the target boundary positioning precision and the multi-scale adaptation capability are remarkably improved, multiple technical pain points are solved, mAPs on DOTA1.0 and DIOR-R data sets are improved respectively, multiple detectors are adapted, and accurate technical support is provided for remote sensing application such as urban planning and traffic monitoring.

The invention provides a model training and application method and device, equipment and a storage medium, and the method comprises the steps: determining a training sample set which comprises at least one group of sample data, and the sample data comprises first information and / or second information; wherein the first information is channel state information determined by a sensing signal receiving end based on a received sensing signal, and the first information is used for determining a sensing result of a sensing target; the second information is actual state information of the sensing target; training a first model based on the training sample set; wherein the first model can determine at least one type of sensing result of the sensing target based on the first information. According to the method and the device, the technical problems of limited application scene, relatively high complexity, relatively poor sensing accuracy under the condition of multiple sensing targets and the like when the sensing result is calculated by a sensing algorithm are solved, the sensing accuracy is ensured, the sensing complexity is reduced, and the sensing application scene is widened.

A communication method and apparatus are suitable for sensing application scenarios. The method comprises the following steps: a first communication device obtains a first perception data set, receives first information from a second communication device, and sends a second perception data set meeting a first condition in the first perception data set to the second communication device; wherein the first information is used for determining the sensing data of the same target, and / or the first information is used for indicating to report the sensing data meeting the first condition. The sensing data in the second sensing data set corresponds to the same target. The first condition comprises that the interval between any two pieces of sensing data in the N pieces of sensing data is smaller than or equal to a first threshold value. According to the method, the reporting of unnecessary sensing data can be avoided, so that the reporting overhead is saved, and false alarms are reduced to a certain extent.

This invention relates to the field of remote sensing image processing technology, specifically disclosing a remote sensing image target detection method based on a multi-scale, cross-stage network model. The method includes the following steps: acquiring the remote sensing image to be tested; inputting the image into the backbone network after passing through an input layer, extracting multi-scale and multi-level semantic features step-by-step, and obtaining feature maps of different sizes through multi-scale downsampling; inputting the feature maps of different sizes into a feature integration network for cross-stage fusion and lightweight optimization to obtain multiple fused feature maps; and inputting the multiple fused feature maps into a prediction head for classification and detection to obtain detection results at multiple scales. This invention, by constructing a novel multi-scale, cross-stage network model, enhances the capabilities of multi-scale feature extraction, fusion, and target recognition, enabling accurate detection of multi-scale targets, especially small and complex-shaped targets, in remote sensing images. It balances detection accuracy and inference efficiency, making it suitable for remote sensing applications such as marine monitoring and urban planning.

The invention relates to the field of terahertz metamaterial devices, and provides a reconfigurable broadband / multi-frequency terahertz wave absorber based on vanadium dioxide. The wave absorber is composed of metamaterial square units which are arranged periodically, and adjacent units are gapless. Each unit is composed of six layers of structures including a vanadium dioxide resonance layer, an upper polyimide dielectric layer, a vanadium dioxide thin film layer, a copper resonance layer, a lower polyimide dielectric layer and a copper substrate layer. Vanadium dioxide can realize reversible phase change between a metal state and an insulation state through external excitation. In a metal state, the wave absorber has an ultra-wideband terahertz wave absorption function; and in an insulated state, a double-narrow-band absorption function is shown. According to the invention, the reconstruction of the absorption frequency and the bandwidth of the terahertz wave absorber is effectively realized, the problems of complex structure and fixed function of a traditional terahertz sensor are solved, and the potential of the terahertz wave absorber in sensing application of a single narrow-band wave absorber is further discussed.

Disclosed are techniques for wireless positioning and sensing. In some aspects, a user equipment (UE) receives, from a network node, a configuration for a location or sensing session associated with an artificial intelligence / machine learning (AIML) model before a scheduled location or sensing time, wherein the configuration includes: a request for one or more positioning or sensing measurements, location or sensing assistance data, one or more network conditions, one or more parameters associated with the one or more positioning or sensing measurements, an indication for the UE to execute one or more processing tasks associated with the AIML model, or any combination thereof. The UE receives, from the network node, a request message for location or sensing information that includes the scheduled location or sensing time. The UE performs one or more positioning or sensing measurements according to the configuration at the scheduled location or sensing time.

A gas sensing device is manufactured with three dimensionally connected metal oxide foam structure of large surface area and elongated channel pores within the three-dimensional porous structure for gas sensing applications, thereby increasing the surface area of the sensing layer and expediting sensitivity and sensor response. A gas sensor device includes the fabricated metal-oxide-foam sensing material attached via silver paste to platinum electrodes and ruthenium heater that are printed on low temperature co-fired ceramic substrate. This device will provide improved gas sensing performance with improved sensitivity and response time. Gas sensors including the metal oxide foam sensing material exhibit higher sensitivity to toxic gases such as ethanol and carbon monoxide due to the large surface area achieved from the porous three-dimensional structure providing increased chemical reaction sites and the larger porous channels allowing gases to easily pass, shortening the gas diffusion reaction path.

The present disclosure relates to sensors including organic thin film transistors and the preparation and use thereof in sensing applications.

This invention introduces a method and system for auto-labeling data through a hybrid Quantum-Classical approach. Initially, data is acquired, converted to a usable format, and reference data points for target objects are extracted and data is smoothened, reduce its dimensionality via Principal Component Analysis. The quantum machine learning (QML) component is then applied to validate the data, leveraging quantum algorithms for enhanced accuracy and efficiency. Grouping of similar data points occur utilizing statistical techniques, with a threshold ensuring only highly similar data points are selected from one target reference data point as input along with target area. The validated data is auto-labeled using QML, significantly enhancing the efficiency and accuracy of data analysis. Embodiments of this method are particularly beneficial for remote sensing applications such as environmental monitoring, agricultural assessment, urban planning and defense uses, providing precise classification of land cover and materials.

The invention discloses a sensing device which constructs a virtual array based on a delay chamber. A sound delay cavity with a plurality of independent sound wave guide paths is introduced into the front end of a sensing device, effective separation and time delay of original sound signals in the time dimension are achieved, the time resolution of the sensor is remarkably improved, and the sensor is particularly suitable for various sound wave sensing application scenes such as medical imaging, industrial detection and underwater detection and has wide application prospects. Wide application prospects and engineering values are shown.

Provided in the present application are a communication method and apparatus. The method comprises: generating a request frame, wherein the request frame is used for requesting that an access point allocates first channel resources for a first station within a plurality of periodic first time windows, and the first channel resources are used for sensing measurement services between non-access-point stations; and sending the request frame. The first station can use the allocated channel resources to schedule other stations in a P2P group to perform sensing measurement, such that autonomous sensing measurement among a plurality of stations is supported, and more terminal-side sensing applications are supported. The present application supports IEEE protocols, such as the IEEE 802.11be (Wi-Fi 7 / EHT) protocol, the IEEE 802.11bn (UHR / Wi-Fi 8) protocol, the IMMW protocol, the IEEE 802.15 (UWB) protocol, and the IEEE 802.11bf protocol. The present application can also support the NearLink standard protocol.

A non-magnetic optical circulator for on-chip distributed fiber sensing system comprises an uplink lumped waveguide, a downlink lumped waveguide and a ring resonator; the uplink incident waveguide and the uplink exit waveguide are connected by a first straight waveguide to form the uplink lumped waveguide; the downlink incident waveguide and the downlink exit waveguide are connected by a second straight waveguide to form the downlink lumped waveguide; the ring resonator is at a predetermined distance from the uplink lumped waveguide and the downlink lumped waveguide to realize optical coupling of incident and exit; a phase change material film is arranged directly above a section of waveguide in the ring resonator, and the phase change material film controls the propagation direction of incident light in the ring resonator. The present application is aimed at the common situation that the intensity of forward probe light and back signal light is greatly different and the two beams of light are completely offset in time in the distributed fiber sensing application scene. The phase state of the phase change material is controlled by modulating pulsed light to change the transmission path and output port of incident light in different directions, without the need for an additional constant magnetic field, and the process is simpler and compatible with large-scale micro-nano processing technology.

The invention relates to the field of optical communication and photon integrated circuits, in particular to an optical isolator and an optical isolation method. The optical isolator is based on a periodically poled lithium niobate (PPLN) waveguide, and non-reciprocal optical transmission is realized by using a difference frequency generation (DFG) effect. The whole structure integrates the Bragg grating, the beam combiner and the multimode interferometer so as to realize efficient wavelength conversion and optical isolation functions. In the working process, wavelength conversion is carried out on light propagating forwards in the PPLN waveguide through the DFG effect, and the light is transmitted to the output end with low loss. Meanwhile, the Bragg grating strongly inhibits light propagating in the back direction, so that it is ensured that one-way transmission of the light passes through the scheme, compact and reliable chip-level optical isolation can be achieved, dependence on traditional discrete components is reduced, and an efficient optical isolation method is provided for an integrated optical system and a photon integrated circuit. The invention is suitable for various optical communication and sensing applications.

This invention provides a triboelectric nanogenerator and its fabrication method. The generator operates in a vertical contact-separation mode, with a positive friction layer of PET film and a negative friction layer of PDMS composite film with a single layer of dense SiO₂ microspheres inserted on its surface. The fabrication process employs a two-step spin-coating method: first, a PDMS solution is spin-coated onto a substrate; then, a suspension of SiO₂ microspheres is spin-coated onto the uncured surface. After heating and curing, a composite negative friction layer is formed, which is then assembled with electrodes and a support structure. This invention significantly increases the triboelectric contact area and enhances charge trapping capability by constructing the SiO₂ microsphere insertion layer, thereby greatly improving output performance. Furthermore, the fabrication process is simple and low-cost, making it suitable for powering microelectronic devices and self-powered sensing applications.

The application discloses a kind of fiber communication sensing integration system based on frequency-sweeping laser, including frequency-sweeping optical carrier generation and intensity modulation transmitting part, same optical fiber transmission part, remote direct detection communication receiving part and coherent Rayleigh backscattering sensing receiving part;The whole system is composed of frequency-sweeping laser, low-speed arbitrary function generator, polarization maintaining fiber coupler, Mach-Zehnder modulator, arbitrary waveform generator, electric amplifier, erbium-doped fiber amplifier, fiber optic circulator, fiber to be measured, adjustable optical attenuator, photodetector, data acquisition equipment one, coherent receiver, data acquisition equipment two.The system of the application is simple in structure, high in system integration degree, simple in communication receiving end structure, improved in communication transmission performance, and flexible optimization in sensing performance, suitable for different communication transmission distance and distributed sensing application scenarios.

The invention provides a RuO2.xH2O / GP-based composite material as well as a preparation method and application of the RuO2.xH2O / GP-based composite material. The composite material comprises the following raw material components: ruthenium dioxide hydrate, graphite powder and epoxy resin glue, wherein the mass ratio of the ruthenium dioxide hydrate to the graphite powder is (2-3.5): 1; based on the mass of the graphite powder, the dosage of the epoxy resin glue is 1-3ml / g. The novel metal oxide composite type pH sensitive electrode has remarkable advantages, and the excellent machinability enables the novel metal oxide composite type pH sensitive electrode to be adaptive to various sensor frameworks; good shape plasticity allows the composite material to be prepared into various physical shapes; meanwhile, the method has the advantages of convenience in operation and cost effectiveness, and an ideal sensitive material selection is provided for pH sensing application.

A method of perception and communication includes receiving, by a perception node, a perception configuration request from a perception function, determining, by the perception node, to support a perception configuration in response to the perception configuration request, and configuring a perception signal of the perception node according to the perception configuration. The method provides an integrated framework to implement advanced perceptual applications while minimizing the impact on communication performance and allowing independent evolution of perceptual and communication technologies.

This invention belongs to the field of analytical chemistry and relates to the preparation and sensing applications of highly efficient electrochemiluminescent gold nanoclusters protected by co-reactive ligands. This invention synthesizes a class of gold nanoclusters protected by co-reactive ligands, whose ligand molecular backbone includes terminal thiol groups as anchoring groups and a tertiary amine structure. Using co-reactive ligands as stabilizers, a one-pot method is employed to synthesize highly efficient electrochemiluminescent gold nanoclusters. This method not only stabilizes the gold nanoclusters, preventing them from agglomerating and losing their optical properties, but also utilizes the tertiary amine structure to function as a co-reactant. This allows the synthesized gold nanoclusters to generate highly efficient anodic near-infrared electrochemiluminescence without the participation of exogenous co-reactants, providing an opportunity for the preparation of highly sensitive and convenient sensors, high-brightness organic light-emitting diodes, and deep tissue imaging research. Simultaneously, it enables highly sensitive, highly specific, and convenient detection of carboxylesterases, providing a new method for the early clinical diagnosis of hepatocellular carcinoma.

The invention relates to the field of harbor machinery intelligence, and discloses an application deployment method of a harbor machinery sensing system and electronic equipment. The method comprises the following steps: acquiring a sensing component library, wherein the sensing component library comprises standardized components; in response to a first operation of a user on the visual platform, obtaining a plurality of standardized components required by a target sensing application added to the visual platform; in response to a second operation of the user on the visual platform, obtaining a logical relationship among the plurality of standardized components; and according to the plurality of standardized components and the logic relationship among the plurality of standardized components, the visual platform generates the target sensing application and deploys the target sensing application to a port machine sensing system. According to the method, the repeated development of each sensing function module is avoided, the modular multiplexing of the sensing function is realized, the repeated development is avoided, and the development efficiency is improved.

The invention relates to electric field controllable preparation and strain sensing application of a polypyrrole modified graphene lamellar composite conductive film with a multilevel structure. Firstly, a GO film is obtained through a vacuum filtration technology, an rGO film is prepared through chemical reduction, and then a morphology-adjustable polypyrrole (PPy) nanostructure is grown and constructed on the rGO film by adopting a three-electrode constant-potential deposition strategy. Taking the rGO film as a working electrode, and constructing an NS-PPy (at) rGO composite film with an interconnection network structure by a one-step deposition method; and second-step deposition is carried out on the basis, and the multi-level structure MLS-PPy (at) rGO composite film is designed. The chemical action between the PPy layer and the rGO layer constructed by the one-step deposition process slows down the slippage and fracture of the rGO layer, the two-step deposition multi-stage structure PPy provides more electric contact sites under large strain, and the chemical-physical double synergistic action ensures the high sensitivity of the sensor and effectively widens the strain range of the sensor. The whole preparation process of the composite film is simple, convenient, controllable, green, efficient and easy for industrial large-scale production.