23results about How to "Improve sampling quality" patented technology

The invention relates to the technical field of water quality monitoring, in particular to an unmanned aerial vehicle water quality sampling device for environmental monitoring, which comprises an unmanned aerial vehicle body, a lifting assembly is arranged at the bottom end of the unmanned aerial vehicle body, the lifting assembly comprises a mounting plate mounted at the bottom end of the unmanned aerial vehicle body, a winder body is mounted at the bottom end of the mounting plate, and a sampling assembly is arranged at the bottom end of the lifting assembly. The sampling assembly comprises a sampling bin installed at the bottom end of the connecting rope, a plurality of water inlet holes are formed in the top end of the sampling bin in a penetrating mode, a bearing round frame is fixedly connected to the bottom end of the sampling bin, multiple sets of sliding round frames are slidably clamped to the inner end of the bearing round frame, and lower pressing blocks are fixedly connected between the sliding round frames located at the lower end. The top end of the pressing block slidably penetrates through a sliding rod at the top end of the sampling bin, the top end of the sliding rod is fixedly connected with a filter screen plate, and the bottom end of the filter screen plate is fixedly connected with a plurality of conical rods. By means of a linkage structure of the sliding round frame, the pressing block and the conical rods, integration of water entry resistance reduction, accurate sampling and sealing pollution prevention of the sampling bin is achieved.

The present application relates to the field of opto-mechatronics, specifically to a book scanning and copying all-in-one machine based on adaptive exposure control and a method thereof; the machine comprises a V-shaped book loading platform, a wide-spectrum LED array, a liquid crystal tunable polarization array, a CMOS image sensor and a photochromic adaptive microlens array; the system uses the wide-spectrum LED array to penetrate the book spine dark area to provide light, and uses the Brewster angle effect of the liquid crystal polarization array to peel off the mirror reflection photons; the core is that when the local reflected light intensity reaches a preset full well critical value, anisomerization reaction occurs in the microlens array to nonlinearly reduce the light transmittance, and the light intensity is adaptively flattened; the present application uses the bottom optical devices to work cooperatively, effectively solves the problems of high light overflow and dark area detail loss in single imaging, and expands the effective quantization interval of the image signal.

This utility model relates to the field of sampling technology for building materials, and discloses a sampling device for testing building materials, including a sampling mechanism, a transmission mechanism, and a main body mechanism. The sampling mechanism is located on the outer wall of the transmission mechanism, and the transmission mechanism is located on the outer wall of the main body mechanism. The sampling mechanism includes a sampling barrel, a control cylinder is fixedly connected to the upper surface of the sampling barrel, a pneumatic connecting rod is fixedly connected to the outer wall of the control cylinder, and a scraper is fixedly connected to the lower surface of the pneumatic connecting rod. This utility model, by setting the sampling barrel fixedly connected to the control cylinder, and the control cylinder fixedly connected to the pneumatic connecting rod, allows the pneumatic connecting rod to retract via the control cylinder. The pneumatic connecting rod is fixedly connected to the scraper. After sampling, the scraper can be moved by the control cylinder, thereby effectively cleaning residual materials on the inner wall of the sampling barrel and ensuring the accuracy of subsequent sampling and testing.

The application discloses a non-intrusive load acquisition device. The non-intrusive load acquisition device comprises a rectification and voltage reduction circuit, a voltage sampling circuit, a current sampling circuit and an ADC module; the input end of the rectification and voltage reduction circuit is connected with the output end of a power supply to be identified; the input end of the voltage sampling circuit obtains a voltage analog signal from the live wire end of the power supply to be identified; the current sampling circuit is connected with an external Hall current sensor, and the external Hall current sensor is used for obtaining a current analog signal; the ADC module receives the voltage analog signal from the voltage sampling circuit and the current analog signal from the current sampling circuit, converts the voltage analog signal and the current analog signal into digital signals, and then transmits the digital signals to a master control chip. Through the integration of the rectification and voltage reduction circuit and the sampling module, voltage / current acquisition and power supply can be completed by a single device, 220V power supply can be directly connected without damaging the circuit, and the installation process is greatly simplified.

The invention provides a ship infrared target detection method in a low-visibility scene, and the method comprises the steps: collecting ship infrared target images and video data under multiple working conditions, and building a sample library containing environment metadata; gamma transformation and preprocessing are carried out on the collected ship infrared target image and video data so as to improve the separability of a low-contrast area; performing screening and labeling operation on the preprocessed ship infrared target image and video data; an improved AFPN-P345 neck network is adopted to carry out adaptive cross-layer feature fusion, and a redundant branch is skipped in combination with a lightweight dynamic routing mechanism; dW-RFAConv is used for replacing standard convolution, and the spatial local feature modeling capability is enhanced; partial overlap penalty, centroid distance penalty and shape difference penalty are introduced on the basis of IoU, and a PD-ShapeIoU positioning loss function is constructed for training a detection head; and outputting the category, the position and the confidence coefficient of the ship target through a multi-scale detection head, and completing real-time detection.

The utility model relates to a kind of crystallizer gas sample sampling device, belong to metallurgical industry continuous casting production process auxiliary equipment technical field.The technical scheme is: containing metal handle (1), limiting silk (2), clamping spring (3) and gas sampler (4), the lower end of metal handle (1) and clamping spring (3) are fixedly connected together, gas sampler (4) is inserted into clamping spring (3), metal handle (1) is equipped with the limiting silk (2) matched with gas sampler (4);The limiting silk (2) is fixed on metal handle (1);The gas sampler (4) is vacuum glass tube, lower part is conical, and upper part is cylindrical;The limiting silk (2) is arranged perpendicularly with metal handle (1), and metal handle (1) is arranged parallelly with the center line of gas sampler (4).The utility model has the beneficial effects that: gas sampler can be accurately and quickly inserted into crystallizer steel liquid, sample quality is good, and detection accuracy is high.

The invention relates to the technical field of artificial intelligence, and particularly discloses a structured electronic medical record for traumatology department, which is characterized in that the value distribution of each field in training data is counted, and in combination with a data item attribute map, a large model is used for identifying fields needing to be enhanced and reasons; revaluing the JSON field according to the proportion of about 10% based on the medical knowledge base and the dialogue context, and generating a revising list; constructing a corresponding relationship between the field and the dialogue position, and rewriting the dialogue to enable a new dialogue to be consistent with the new JSON; performing consistency verification on the change, discarding the change when the accuracy is lower than 85%, otherwise, storing the change in a warehouse; injecting doctor / patient role information into the partial dialogue; training evaluation is carried out to obtain overall and field-level indexes, and bad case attribution is carried out on fields with the accuracy lower than 0.8 to generate a next round of enhancement strategy; and performing state reflection at the end of each round of iteration according to the evaluation indexes and strategies, and outputting continuous or terminated iteration. Training data diversity is increased, and model performance is improved.

Embodiments of the present specification provide a sample processing method and device, wherein the sample processing method comprises: obtaining a to-be-processed sentence; constructing a word group corresponding to the to-be-processed sentence, and determining a feature label corresponding to each word unit in the word group; constructing at least one negative sample and a target positive sample according to the feature label and the word group; calculating a sample similarity between the target positive sample and each negative sample, and determining a target negative sample in the at least one negative sample according to the sample similarity.

The utility model relates to feeding device technical field especially relates to a kind of asian corn borer full stage feeding device.It mainly aims at the existing feeding device to be insufficient in larva period space and ventilation, pupation period environment does not conform to habit, winged period wing space lacks, leading to larva maldevelopment, pupation success rate is low, experimental sample quality declines, influence research accuracy and reliability problem, propose following technical scheme: including the box of up and down opening, the box top is equipped with top cover, the top cover below is provided with multiple groups of recessed plate, the recessed plate includes side plate, the side plate side is fixedly connected with multiple groups of partition plate of equidistance array distribution;Mesh is installed in the box bottom, the mesh below is provided with collection tray.The utility model provides the environment suitable for the full stage growth of asian corn borer, guarantees its healthy development, improves pupation success rate and sample quality, simultaneously convenient operation maintenance, can effectively improve agricultural pest research efficiency and accuracy.

The invention discloses a crop remote sensing sample automatic construction method based on time-space-spectrum combined characteristics. The method comprises the following steps: acquiring multi-period optical remote sensing images of a target year in a research area; traversing unmarked cultivated land pixels in the research area, and calculating the similarity between the time sequence feature, the spectral feature and the spatial feature of each cultivated land pixel and the corresponding crop type feature signature library in the time sequence dimension, the spectral dimension and the spatial dimension; and performing spatial connectivity verification on the candidate amplified sample points by judging the comprehensive similarity, and combining the final amplified sample points with the core sample library to form a massive enhanced sample library. Through a step-by-step filtering mechanism of time sequence consistency screening, spectrum consistency screening, space purity screening and neighborhood verification, multi-source feature information of a time dimension, a spectrum dimension and a space dimension is fused, and a high-purity core sample library is constructed.

The application discloses a method and device for constructing training samples, electronic equipment and a storage medium. The method comprises the following steps: obtaining the information of clicks and payment commodities of a plurality of users in a predetermined time period, determining the information of clicks and payment commodities belonging to a first target query word as a first positive sample set generated in the predetermined time period, and the commodities from the same session in the first positive sample set belong to the same positive sample commodity list; respectively performing a deduplication processing on each positive sample commodity list, adding a first type identifier to each commodity in each deduplicated positive sample commodity list, selecting negative sample commodities for each positive sample commodity according to the attributes of each positive sample commodity in the deduplicated positive sample commodity list, constituting a corresponding negative sample commodity list, and constituting a first negative sample set based on the negative sample commodity list. The embodiment of the application can obtain high-quality training samples.

This utility model relates to the field of wastewater testing and sampling, and discloses a stratified sampling device for wastewater testing. It includes a wastewater sampling pool, with a sampling switching mechanism and a mixing mechanism at the top. The sampling switching mechanism includes a sampling cylinder, with a sampling tube fixedly connected to the inner wall of the sampling cylinder. A sealing lifting rod is slidably connected to the inner wall of the sampling tube, and a sealing ball is fixedly connected to the bottom end of the sealing lifting rod. A support plate is elastically connected to the top of the sampling tube via a spring. In this utility model, by setting up a sampling switching mechanism, the sampling tube is precisely delivered to the target stratification positions at different depths within the wastewater pool, ensuring that the obtained samples accurately correspond to each stratum within the wastewater pool. This greatly improves the accuracy of stratified sampling, avoids cross-contamination between samples from different strata, and allows for rapid collection of multi-layer wastewater samples, significantly improving the efficiency of stratified sampling while ensuring that each sample is independent and complete.

The utility model discloses a kind of sampling devices for recycled concrete production, it is related to concrete sampling technical field, aiming at the problem of inaccurate sampling position in prior art and the process of taking out is more complicated, low efficiency, the following scheme is presented, including fixed pipe, the bottom of the fixed pipe is welded and fixed with conical block, and the inner wall of both ends in fixed pipe is welded and fixed with fixed frame, connecting pipe is fixedly connected between two fixed frames, and connecting pipe is inserted and slidably connected with connecting rod, and the outer wall of connecting pipe is slidably sleeved with equidistantly distributed sampling mechanism. The utility model can play a good guiding and positioning role when inserting recycled concrete pile by welding and fixing conical block at the bottom of fixed pipe, ensure that fixed pipe is accurately inserted into predetermined position, so as to obtain representative sample, greatly improve the accuracy of sampling position, and provide guarantee for subsequent accurate evaluation of recycled concrete quality.

Embodiments of the present application provide a method, device, equipment and medium for generating a labeled ultrasound sample image. In the method, a diffusion model and an auxiliary segmentation network are obtained by pre-training. A target mask image is obtained, and a guide condition is determined based on the target mask image and the auxiliary segmentation network. A target sample image corresponding to the target mask image is generated by the diffusion model based on the guide condition. The target mask image is used to represent a target object contained in the target sample image. In this way, the auxiliary segmentation network and the target mask image can be used as guide conditions to provide directional guidance for the diffusion model, thereby improving the denoising effect of the diffusion model and improving the sample quality of the target sample image generated by the diffusion model, while reducing the difficulty and cost of obtaining the target sample image.

This application discloses an adaptive multi-granularity text embedding representation learning method based on gradient optimization. The method includes: text encoding, multi-granularity embedding generation, difficulty-aware dynamic sampling, sliding window negative sample management, adaptive loss optimization, and model training and validation. It aims to address the performance degradation caused by existing embedding vector dimensionality compression techniques. Through a difficulty-aware dynamic sampling mechanism, a Beta distribution is introduced to achieve progressive learning, significantly improving low-dimensional performance; sliding window negative sample management improves sample quality and training efficiency; and a gradient-oriented update strategy avoids gradient conflicts and optimizes training stability. Furthermore, this invention supports incremental dimensionality expansion, reducing training costs while maintaining consistency across multi-granularity embeddings. This method significantly improves performance in low-dimensional environments, maintains lossless performance in high-dimensional environments, significantly improves training efficiency, greatly reduces storage costs, and exhibits strong generalization ability, making it suitable for data from various domains.

The embodiment of the present application provides a kind of Parkinson's disease patient mask face condition quantitative evaluation method, comprising: for a variety of mask face condition grades, the facial expression video of the object under each grade is obtained, which includes the multiple expression videos collected to the object when the object makes action according to the preset multiple continuous facial expression action requirements;For each object, the facial key point information of each expression video is detected respectively, the facial feature time sequence of the corresponding expression video is extracted according to the facial key point information, the facial feature time sequence of all expression videos of the object is fused to obtain the fused facial feature time sequence;Data set is constructed, which includes multiple samples and corresponding labels, each sample is the fused facial feature time sequence of an object, the label of the sample is the mask face condition grade of the object corresponding to the sample, the mask face condition evaluation model is trained using the data set, and the mask face condition grade of the patient is evaluated by the trained model.

The utility model provides a cough and asthma pill quality stability detection device which comprises a bottom cylinder, a connecting cylinder is arranged on the upper side of the bottom cylinder, a mounting block is fixedly mounted in the connecting cylinder, the surfaces of the upper side and the lower side of the mounting block are conical, a leakage hole is formed in the middle of the mounting block, a grinding mechanism is mounted in the middle of the connecting cylinder, and the grinding mechanism is connected with the connecting cylinder. A mounting mechanism is arranged between the connecting cylinder and the bottom cylinder, a stirring mechanism is arranged in the bottom cylinder, and a liquid discharging pipe is fixedly mounted on the lower surface of the bottom cylinder. Through use of the grinding mechanism and the stirring mechanism, the grinding mechanism realizes rapid and uniform grinding of pills, the problems of sample non-uniformity, time consumption and labor consumption caused by manual grinding are avoided, and the representativeness and accuracy of detection samples are improved. Meanwhile, due to the introduction of the stirring mechanism, uniform dispersion of the ground solution is ensured through intense stirring, local aggregation and precipitation of active components are effectively prevented, the sample quality is further improved, and the accuracy of a detection result is enhanced.

The utility model discloses a kind of negative pressure suction type puncture biopsy apparatus, it is related to medical instrument field.The biopsy apparatus includes needle tube, needle core and pressure device, pressure device is detachably connected with needle tube, is fixed by clamping limiting portion.It has beneficial effect including improving sample quality, convenient operation and improving diagnostic efficiency.Needle tube has scale outside, bottom and needle core cooperate closely.Handle has antiskid line, connecting port and pressure device connecting pipe are closely adhered through conical structure.Needle core surface is smooth, and needle tube is closely adhered.Pressure device can be balloon expansion pressure pump etc., clamping limiting portion improves the stability of connecting portion.Under image guidance, puncture is operated as needed, and sample is obtained by adjusting negative pressure.The biopsy apparatus overcomes the problem that existing puncture biopsy mode is difficult to balance sample efficiency and tissue protection, and the problem of inconvenient operation, can adapt to different texture tissue, improve sample quality and representativeness, reduce operation difficulty and risk.

Embodiments of the present application disclose a sample sampling method and device, electronic equipment and computer readable storage medium; the embodiments of the present application construct cross-domain sequence recommendation scene and the behavior sequence corresponding to cross-domain sequence recommendation scene, the behavior sequence corresponding to cross-domain sequence recommendation scene is used as training sample to train a sequence recommendation model, then, the interest preference of interactive object in source domain and target domain respectively for candidate negative sample in target domain sample set is determined according to the sequence recommendation model, at the same time, the relative popularity of candidate negative sample relative to target positive sample is determined, finally, the relative popularity and source domain interest preference are comprehensively utilized, the target domain interest preference is corrected to mine hard negative sample in target domain sample set, the false negative example problem in negative sampling is alleviated, and the sampling quality of hard negative sample is improved.

This utility model discloses a soil microplastic pollution investigation and sampling tool, belonging to the field of soil pollution investigation technology. It includes a handle, a connecting rod fixedly connected to the center of the bottom of the handle, a first groove on the lower part of the surface of the connecting rod, a soil sampling sleeve fixedly connected to the bottom of the connecting rod, a sleeve cutting edge at the bottom of the soil sampling sleeve, and a sealing plate fixedly connected to the top of the soil sampling sleeve. A second groove is opened in the center of the top of the sealing plate. The soil sampling part, composed of the handle, connecting rod, penetration pedal, soil sampling sleeve, limiting block, and sealing plate, and the soil-topping part, composed of the top plate, ribs, limiting teeth, and top pedal, are both made of stainless steel. This material eliminates the problem of ordinary materials potentially releasing microplastics that could interfere with soil microplastic detection, ensuring the accuracy and reliability of the detection results.

The deepwater sampler comprises a sampling barrel, a base is fixedly installed at the bottom of the sampling barrel, a balancing weight is arranged at the bottom of the sampling barrel, the top face of the sampling barrel makes contact with an upper cover plate, the bottom face of the upper cover plate is fixedly connected with an annular block, and the inner thread position of the annular block is in threaded connection with the outer thread position of the top of the sampling barrel. An annular mounting groove is formed in the bottom face of the upper cover plate, limiting grooves are formed in the two sides in the annular mounting groove respectively, and a connecting block is in contact with the interior of the annular mounting groove. Sampled water can be filtered by arranging the filter screen frame, and the upper cover plate, the annular block, the annular mounting groove, the limiting groove, the filter screen frame, the connecting block, the limiting rod, the connecting rod, the limiting nut and the like are arranged, so that the upper cover plate is convenient to disassemble, the filter screen frame is convenient to disassemble and assemble, and impurities filtered out from the interior of the filter screen frame are convenient to clean; the filter screen frame is cleaned or replaced more thoroughly, so that impurity residues are effectively prevented, and the quality of a sampled sample is improved.

The invention belongs to the technical field of data processing, and discloses a training data set generation method and system based on multi-modal data fusion, and the method comprises the steps: carrying out the modal preprocessing of multi-modal original data, and obtaining a cross-modal standardized data set and a multi-dimensional basic feature set; generating a cross-modal fusion feature vector based on the multi-dimensional basic feature set, and determining an actual risk point and associated data of the contract in combination with a preset text risk review rule base; determining a risk label of each actual risk point according to a preset classification standard, and binding the risk labels with associated data through a data unique identifier ID to form a preliminary training data set; and performing optimization processing on the preliminary training data set to finally obtain a training data set for text risk review. The training data set generated by the method has integrity, accuracy, balance and timeliness, and high-quality training samples can be provided for a text legal compliance risk review model.

The application provides a dense modal identification method based on Hamilton Monte Carlo under environmental excitation and a related device, and belongs to the technical field of structural health monitoring.The standard deviation and mean value of the posterior samples of a plurality of modal parameter vectors are calculated to obtain the standard deviation and mean value of the modal parameter vectors, and the coefficient of variation of the modal parameter vectors is calculated according to the standard deviation and mean value of the modal parameter vectors; the standard deviation and mean value of the posterior samples of a plurality of mode shape bases are calculated to obtain the standard deviation and mean value of the modal shapes, and the coefficient of variation of the modal shapes is obtained according to the standard deviation and mean value of the modal shapes; and the dense modal identification result is obtained based on the mean value of the modal parameter vectors and the coefficient of variation of the modal parameter vectors and the mean value of the modal shapes and the coefficient of variation of the modal shapes.The application solves the problem that the accuracy of dense modal identification is not high.