172 results about "Sensing applications" patented technology

Some embodiments in the present disclosure relate to scheduling sensing signals for two or more wireless devices. Requirements of sensing applications of the wireless devices are determined. Existing sensing signals are received and the characteristics of the existing sensing signals may be determined. The wireless devices having similar requirements are grouped. Each group is provided with information about existing sensing signals if the predetermined requirements for the group are fulfilled in a comparison with features of the existing sensing signals.

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 of the present disclosure relate to the selection of a waveform for an integrated communications and sensing (ICS) signal, where the waveform is suitable for both communication applications and sensing applications. In view of the sensing applications, the waveform selection can be, at least in part, adapted based on capabilities of hardware of nodes involved in the sensing applications. In view of the communication applications, the waveform selection can be, at least in part, adapted based on the extent to which data is to be embedded.

Sensing apparatuses and method of making the sensing apparatuses are disclosed herein. In some variations, a sensing apparatus can comprise at least one optical waveguide, and at least one whispering gallery mode (WGM) resonator configured to propagate a set of WGMs, where the WGM resonator communicates to the at least one optical waveguide a set of signals corresponding to the set of WGMs. In some variations, a polymer structure may encapsulate the at least one WGM resonator and / or the at least one optical waveguide. Furthermore, in some variations, the WGM resonator(s) may have one or more selectable modes with different bandwidth and sensitivity for sensing, which may, for example, enable tailoring the sensing apparatus to specific applications having certain bandwidth and / or sensitivity requirements.

The invention relates to the technical field of terahertz metamaterial devices, in particular to an ultra wide band / double narrow band switchable terahertz wave absorber based on vanadium dioxide and sensing application. The wave absorber is formed by periodically arranging and combining a plurality of metamaterial square structure units, and no gap exists between adjacent periodic units. Each metamaterial square structure unit is composed of six layers from top to bottom, namely a VO2 resonance layer, a photonic crystal plate dielectric layer, a VO2 thin film, a metal resonance layer, a polycrystalline silicon dielectric layer and a gold substrate. The reversible phase change process of vanadium dioxide from a metal state to an insulation state is realized through external excitation (light, temperature and voltage). When vanadium dioxide is in a metal state, the terahertz ultra-bandwidth absorption function is achieved, when vanadium dioxide is in an insulated state, the terahertz wave double-narrow-band absorption function is achieved, and conversion between the ultra-wide band and the double narrow bands of the wave absorber is achieved. According to the terahertz wave absorber, the ultra-wideband / dual-narrowband conversion function of terahertz wave absorption can be achieved on one device, the defects that an existing terahertz wave absorber is complex in structure and the absorption characteristic is fixed once the terahertz wave absorber is manufactured are overcome, and the sensing function application of a single narrowband in the terahertz wave absorber is researched.

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 a probe type optical fiber SPR (Surface Plasmon Resonance) sensor system based on a microsphere structure. The probe type optical fiber SPR sensor is characterized in that the probe type optical fiber SPR sensor is composed of a broadband light source, a spectrograph, a broadband circulator and a microballoon structure probe type optical fiber SPR sensor, the microballoon structure probe type optical fiber SPR sensor is formed by welding a multimode optical fiber with a section of single-mode optical fiber, and the single-mode optical fiber at the welding position of the multimode optical fiber and the single-mode optical fiber is prepared into the microballoon structure; the nano-silver film is deposited on the surface of the single-mode optical fiber, the polydimethylsiloxane film and the polyvinyl alcohol film are coated section by section along the outer surface of the nano-silver film, and the nano-gold film is plated on the end face of the tail end, so that the temperature parameter and the humidity parameter can be simultaneously measured in various sensing application scenes. The device is simple in structure, flexible and compact, and can be widely applied to the optical fiber sensing application fields of chemistry, biology, medicine, life science and the like.

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.

The invention relates to the field of surface acoustic wave device transition interference suppression, in particular to a three-time transition interference suppression method for a surface acoustic wave device, which comprises the following steps: acquiring geometric parameters for optimizing an interdigital transducer; adjusting the duration of an input excitation signal according to the geometric parameters of the optimized interdigital transducer, and carrying out time separation processing on a direct signal and a three-time transition signal; an output time window is obtained according to the duration of the input excitation signal, three-time transition signal shielding is carried out, a pure main signal is obtained and serves as a three-time transition interference suppression result, and triple transition echoes can be reduced to the maximum extent by finely optimizing IDT parameters, including careful design of the input excitation signal and selection of the output time window. Therefore, the separation of the main signal and the TTE echo in time is realized, and the measurement linearity and reliability in SAW sensing application are remarkably improved.

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.

A system and a method are disclosed for ISAC. A method performed by a sensing initiator includes performing a sensing session setup to exchange sensing capability information with sensing responders for a sensing application; performing a sensing measurement setup with a sensing responder identified in the sensing session setup; and performing sensing measurements with the sensing responder during a sensing burst based on the sensing measurement setup. The sensing burst includes one or more sensing measurement instances. A sensing measurement instance among the one or more sensing measurement instances includes a polling phase, a reporting phase, and at least one of a DL sensing phase or a UL sensing phase.

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.

Provided is a method for providing sensing data, applicable to a sensing application server, the method includes: receiving a sensing instruction from a sensing network element, wherein the sensing instruction is for instructing the sensing application server to execute a sensing service; and providing, based on the sensing instruction, sensing data related to the sensing service to at least one of the sensing network element or a first address for collecting the sensing data.

A wireless sensing method and systems based on compressed beamforming reports (CBR) are provided. The method includes performing channel sounding and transmit (TX) beamforming; performing sniffing or extracting information from Wi-Fi traffic; and performing multi-path estimation. The performing multi-path estimation includes performing multi-path modeling with CBR to analyze relationship between signal propagation characteristics and information in CBR by modeling a multi-path channel based on uplink and downlink steering matrices. The performing multi-path modeling with CBR includes performing multi-path modeling with CBR from physical paths to channel state information (CSI) and subsequently from CSI to CBR. The performing multi-path estimation further includes performing maximum likelihood multi-path estimation. The performing maximum likelihood multi-path estimation includes analyzing multi-path fingerprint in CBR, performing fingerprint matching, and performing maximum-likelihood estimation (MLE)-based multi-path reconstruction.

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 discloses a photoelectric hybrid long-period fiber grating sensor. The photoelectric hybrid long-period fiber grating sensor comprises a micro-nano optical fiber, polydimethylsiloxane and a laser-induced graphene electrode array, two ends of the micro-nano optical fiber are respectively used as an optical signal input port and an optical signal output port; the micro-nanofiber is packaged by polydimethylsiloxane and patterned by laser-induced graphene to form a periodically arranged laser-induced graphene electrode array, and the laser-induced graphene electrode array generates a periodic refractive index modulation effect on the middle area of the lower-layer micro-nanofiber and meets the phase matching condition of the long-period grating. And the micro-nano fiber long-period fiber grating is formed. The large evanescent field characteristic of the micro-nano fiber and the high refractive index sensitivity characteristic of the long-period grating can be fully utilized, the conductive electrode of the modulation grating is used for sensing application, and the functions of electrical detection and optical detection are achieved.

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.

The present application belongs to the field of wireless sensing. Disclosed are a method and apparatus for acquiring a custom identifier, a method and apparatus for the use of a custom identifier, and a device and a storage medium. The method for acquiring a custom identifier comprises, acquiring a station identifier of a station, wherein the station identifier is a custom identifier for WLAN sensing; and carrying the station identifier in a sensing result, and reporting the sensing result to a sensing application program. In the method, a custom identifier for sensing is provided for a station, and the custom identifier is used when a sensing result is reported such that a sensing signal is correctly received when sensing is performed between stations, and a sensing application program make the sensing result correspond to location information of the stations, thereby assisting in improving the sensing precision.

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.