130 results about "Sensing applications" patented technology

The invention relates to a Spin Exchange Relaxation-Free (SERF)-based magnetometer system (100) for detecting ultra- weak magnetic fields, particularly suited for bio¬ sensing applications such as MEG, MCG, and MRI. The system operates at room temperature and includes a VCSEL (101) emitting dual beams tuned to Rubidium-87 transitions, a microfabricated vapor cell (102) with LIAD-based heating (103), and an optical assembly (104) for polarization control. A detection unit (105) converts Faraday rotation into electrical signals, enhanced by lock-in amplification. Magnetic shielding (106), thermal management (107), and relaxation mitigation maintain SERF conditions. A calibration subsystem (109) and embedded machine learning module (110) optimize sensitivity in real time. The compact, cryogen-free architecture enables portable and wearable applications. The invention achieves femtotesla-level sensitivity while overcoming limitations of conventional SQUID-based systems, making it suitable for clinical and field deployments.

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.

Some embodiments in the present disclosure relate to facilitating coexistence of communication applications and sensing applications in at least partially overlapping bandwidths. A sensing device, a joint sensing and communication device and / or a communication device are provided that transmit a request for transmission resources to a scheduling device in a communication format compliant with a communication standard. In response, the scheduling device allocates resources corresponding to a frame format compliant with a communication standard according to which the communication device operates, if the request was for a communication application or the scheduling device allocates resources corresponding to a frame format compliant with the communication standard or to a frame format suitable for a sensing application, if the request was for the sensing application. The selection of the frame format for the sensing application may further depend on the priority of the sensing application or further features of the application or environment or channel or the like. The wireless device which receives the allocation schedules the signal transmission accordingly and may provide feedback to the scheduling device for adaptive frame format selection.

The invention relates to a piezoelectric-piezoresistive collaborative mechanism-based sensor array and a preparation method and application thereof. The sensor array comprises a flexible packaging substrate layer, a piezoelectric layer, a piezoelectric layer and a piezoelectric layer which are sequentially integrated from bottom to top, the bottom electrode layer is composed of a stretchable silver electrode array subjected to silk-screen printing and serves as a lower electrode of the piezoelectric sensor; the piezoelectric functional layer is composed of a lead zirconate titanate-glass fiber composite film, and the piezoelectric functional layer is subjected to corona polarization treatment; the piezoresistive sensing layer is formed by spraying a polyvinylpyrrolidone modified carbon material dispersion liquid, the piezoresistive sensing layer is used as an upper electrode of the piezoelectric sensor, the piezoresistive sensing layer is directly deposited on the surface of the piezoelectric functional layer, and the piezoresistive sensing layer and the piezoelectric functional layer pass through a common electrode; and packaging a protection layer on the top layer. Compared with the prior art, the method has the advantages of high sensitivity, wide linear range and multi-parameter synchronous detection capability, high-resolution real-time deformation identification can be realized, and key technical support is provided for high-precision sensing application such as profile inversion.

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.

Method and apparatus for a 3D sensor having die Hall element clusters located on first and second die. In an embodiment, a sensor IC package includes a first die having first, second, and third Hall clusters having different axes of magnetic field sensitivity and a second die having a fourth Hall cluster having sensitivity in the first and third axes of sensitivity. The sensor provides 3D field sensing for stroke, end of shaft and side shaft sensing applications.

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 bio-based repairable high-conductivity high-sensitivity sensing fiber as well as preparation and application thereof. According to the fiber, silk fibroin serves as a matrix, ChNCs serves as a dynamic cross-linking agent, an ion conductor and an electronic conductor are combined, and an ion-electron double-conduction network and a core-shell structure are constructed through microfluidic spinning. The fiber has high conductivity (gt, 5S / m), rapid self-healing (recovery of gt, 90% in 30 min), excellent mechanical strength (gt, 5MPa) and biodegradability, and is suitable for intelligent sensing fields such as wearable sensors, implantable medical equipment, human-computer interaction interfaces and the like.

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.

The present invention relates to selecting a communication technology (34, 36) in a radio frequency (RF)-based sensing system (100) with one or more nodes (26, 28, 30). The RF-based sensing system (100) is configured for performing RF-based sensing using one or more of two or more different communication technologies (34, 36). A communication technology (34) for performing RF-based sensing in the RF-based sensing system (100) is selected for one or more of the nodes (26, 28, 30) based on one or more parameters related to RF-based sensing in the RF-based sensing system (100). A communication technology (36) optimal for a current sensing application with a current sensing quality requirement in a current context considering the available system resources can be selected. The communication technologies can be wideband (34) and narrowband (36) communication technologies. The parameters can include sensing application parameters, sensing quality parameters, system resource parameters, and contextual parameters.

The present invention provides a method for generating a neural radiation field (DSM) constrained by a two-dimensional triangulated mesh, comprising the following steps: Step 1: implicit volume density and radiation field modeling; Step 2: extracting density field gradients and surface normals; Step 3: constructing a two-dimensional triangulated mesh; Step 4: implementing normal consistency constraints based on the two-dimensional triangulated mesh; Step 5: calculating uncertainty-aware rendering loss; and Step 6: performing end-to-end joint optimization. By jointly optimizing geometric constraints and rendering loss in an end-to-end manner, the method achieves a lower root mean square error (RMS) of three-dimensional reconstruction than traditional NeRF methods, providing a high-precision DSM generation solution for remote sensing applications such as urban planning and disaster monitoring.

This invention belongs to the field of fiber optic sensing application technology, specifically relating to a high-sensitivity air microbubble strain sensor based on the vernier effect and its fabrication method. The sensor consists of a parallel microbubble sensing cavity Fabry-Perot interferometer and an air reference cavity Fabry-Perot interferometer. The microbubble sensing cavity Fabry-Perot interferometer is made by fusion splicing two single-mode optical fibers, with an ellipsoidal microbubble embedded at the center of its conical region. The air reference cavity Fabry-Perot interferometer is made by fusion splicing two single-mode optical fibers through a hollow capillary tube, with the two single-mode fiber segments forming an air cavity within the capillary tube. When the microbubble sensing cavity and the air reference cavity are connected in parallel, their signals overlap, resulting in an envelope modulation effect. Compared to using the microbubble sensing cavity alone, this significantly amplifies the sensitivity, improves the sensor's sensing performance, and achieves high-sensitivity air microbubble strain sensing.

To provide a redundant sensing method, an apparatus, an electronic device, and a storage medium.SOLUTION: The redundant sensing method includes a step of determining a first sensing result based on a first sensing application program in a first sensing function cluster, and a step of determining a second sensing result based on a second sensing application program in a second sensing function cluster. The first sensing application program in the first sensing function cluster is software-separated and / or hardware-separated from at least a target second sensing application program.SELECTED DRAWING: Figure 2

The present invention discloses a nanoparticle composite magneto-optical film, its preparation method, and its application, belonging to the technical field of magneto-optical film preparation and sensing applications. A CoFeB / W film is prepared on a silicon wafer using magnetron sputtering as a substrate. A gold-platinum nanoparticle layer, or a gold nanoparticle layer and a covering tungsten layer, is then spin-coated on the film. This method enhances the longitudinal magneto-optical Kerr effect of the CoFeB film by combining gold, which exhibits a surface plasmon effect, with platinum and tungsten, which exhibit a high spin-orbit coupling effect. This method utilizes the synergistic effect of these two effects to enhance the CoFeB film's longitudinal magneto-optical Kerr effect. As a sensitive element, the film has broad application potential in biomolecular sensors, as well as in the detection of viruses, bacteria, biofunctional molecules, and biological weapons.

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 track based moving object association is described for distributed sensing applications, such as for identifying multiple objects within a vehicle transportation network for use by a vehicle navigating the network. Position information for the multiple objects within a portion of the vehicle transportation network is obtained from multiple sensors within the portion of the vehicle transportation network. Using the position information of respective sensors of the multiple sensors, a respective track for objects of the multiple objects is determined. Similarity measures are determined for multiple tracks, including at least a first track determined using the position information of a first sensor of the multiple sensors and a second track determined using the position information of a second sensor of the multiple sensors. Based on the similarity measures of the tracks, a tracked object track for a tracked object of the multiple objects is determined.

Described herein relates to an antenna-coupled graphene Josephson-junction THz / mm-wave apparatus (hereinafter “video”) detector apparatus and methods thereof. Highly sensitive, broadly tunable detectors may be needed for future sensing applications and quantum information systems. In an embodiment, the video detector apparatus may comprise stacked graphene sheets having a “magic” twist angle between their in-plane symmetry axes. As such, the material may display superconductivity with at least 2 K transition temperature. Additionally, the video detector apparatus may depend on the decrease in the maximum zero-voltage DC current when AC current is driven through the junction.

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.

Embodiments of the present disclosure relate to a sensor apparatuses with stacked metasurfaces suitable for small form factors. The apparatus is a sensing apparatus operable to be used in sensing applications. The apparatus includes a light source and an optical device. The optical device includes multiple metasurfaces. The optical device includes a collimation metasurface disposed on a substrate to collimate one or more laser beams from the light source. The one or more laser beams propagate through the substrate to a diffractive metasurface. The diffractive metasurface diffracts the collimated one or more laser beams into diffraction beams.