572results about How to "Reduce the difference" patented technology

The invention discloses a face anti-fraud model training method and device based on image-text comparison assisted learning, and belongs to the technical field of artificial intelligence. The method comprises the following steps: identifying the content of each sample image in an image set to obtain a description text corresponding to each sample image; generating text data corresponding to each sample image in combination with the description text and the label; and inputting each sample image in the image set into an image encoder in the multi-modal pre-training model, and inputting text data corresponding to each image into the text encoder in the multi-modal pre-training model, so as to train the multi-modal pre-training model and obtain a face anti-fraud model. According to the method, the image content description text and the face type label are integrated, the features are mixed, the central difference convolution adapter module is introduced to capture the fine features of the face, the features are subjected to semantic alignment through image-text comparison learning and matching, and the generalization ability of the model in different application scenes is improved.

The invention relates to the technical field of battery SOC equalization, and particularly discloses an energy storage system battery SOC equalization method based on an EMS, and the method comprises the steps: determining SOC equalization influence factors of each battery based on the EMS, analyzing the SOC real-time use state of each battery, obtaining the SOC equalization state characteristic value of each battery in combination with the SOC equalization influence factors of each battery, and determining the SOC equalization state judgment value of each battery. According to the method, whether the battery needs to be subjected to SOC equalization or not is judged, an SOC equalization mode is determined, the temperature state of the battery SOC equalization process is monitored, whether the battery SOC equalization process is overheated or not is judged, and the problems that a traditional equalization method is low in response speed when coping with a scene with frequent load change and high-power requirements, a fixed SOC equalization threshold value is set, and the battery SOC equalization process is overheated or not are solved. The method solves the problem that the prior art is poor in adaptability to dynamic working conditions such as load fluctuation, unnecessary energy consumption is avoided, the system safety can be improved, and the probability of sudden failures is reduced.

The invention discloses a ship trajectory reconstruction method based on AIS data quality optimization, and relates to the technical field of ship trajectory reconstruction, and the method comprises the following steps: S1, employing a box plot method to set speed and steering rate thresholds for each ship; s2, adopting a'segmentation-connection-filtering 'strategy to remove abnormal values and performing trajectory segmentation; s3, interpolation is carried out on missing tracks, short-distance missing is repaired by utilizing adjustment and kinematics principles, and effective migration is carried out on long-distance missing by a method of searching similar tracks; experiments verify that the method shows excellent performance when processing actual AIS data, can effectively recover missing ship trajectories, and provides reliable data support for maritime traffic safety and channel management.

The invention relates to the field of batteries, in particular to a preparation process of a high-capacity battery. The problem that an existing large-capacity battery sharing pipeline assembly is difficult to assemble is solved. Comprising the following steps: processing a shell, assembling a semi-finished shell, prefabricating a single battery, loading the prefabricated single battery into the semi-finished shell, sealing, unpacking and connecting in parallel. According to the invention, the plurality of capacity-graded and sorted single batteries with the sealing assemblies are arranged in the semi-finished product shell with the electrolyte sharing cavity, the cylinder is sealed by the second cover plate, and the sealing assemblies are opened through the unpacking process, so that the electrolyte sharing cavity is communicated with the electrolyte areas of the inner cavities of the single batteries, and the capacity-graded and sorted single batteries are separated. And the electrolyte of each single battery is shared to guarantee the consistency of each single battery, so that the cycle life of the high-capacity battery is prolonged. And the electrolyte sharing cavity is formed on the first cover plate, so that insertion is not needed, the requirements on processing precision and assembling precision are low, the assembling process is simple, and the processing difficulty of the large-capacity battery with the sharing system is reduced.

The invention discloses a reflection module and a periscopic camera module thereof, and the reflection module comprises a reflection component which is used for reflecting incident light along a first axis to a second axis, and the first axis and the second axis intersect; the rotating assembly is used for bearing the reflecting component; the base is provided with an internal space and is used for accommodating the rotating assembly; the rotating supporting part is located between the bottom of the rotating assembly and the top of the base in the direction parallel to the first shaft, the rotating supporting part provides a rotating shaft, and the rotating shaft penetrates through the rotating supporting part and is parallel to the second shaft; and the rotation driving part is used for driving the rotating assembly and the reflecting component to rotate around the rotating shaft. When the periscopic camera module is used, the rotary supporting part can bear the rotary assembly and drive the reflecting component to rotate around the rotary shaft, so that an image on the photosensitive surface of the photosensitive module generates an effect of rotating around the rotary shaft, and further rotary jitter and inclined jitter of the periscopic camera module in the use process can be compensated.

The invention discloses a functional connection network analysis method based on a group sparse attention converter. The method mainly comprises the following steps: preprocessing brain functional magnetic resonance imaging data output by a functional magnetic resonance instrument; dividing the preprocessed brain function image into a plurality of brain regions according to a standard; based on Pearson correlation and group sparse characteristics, calculating a dependency relationship between brain regions, and respectively constructing an initialized brain network and a guidance network; taking the initialized brain network as the input of a group sparse attention converter, and carrying out learning under the assistance of a guidance network so as to learn a brain network with a group similar topological structure; and subsequent classification is carried out. The method integrates priori knowledge of a population level, allows more comprehensive modeling across multiple brain networks, is designed for end-to-end adaptive learning, dynamically updates the brain networks through back propagation, and significantly improves the construction and analysis performance of the brain networks.

The embodiment of the invention discloses an image editing and generating method and device, electronic equipment and a storage medium, and relates to the technical field of image generation, and the method comprises the steps: obtaining a to-be-processed image and a target instruction, constructing an image description of the to-be-processed image according to a scene in the to-be-processed image, converting the image description into a text mark, and storing the text mark in the target instruction; the method comprises the steps of obtaining a to-be-processed image, embedding a text mark into a high-dimensional space through an embedding model to obtain text embedding, obtaining an element vector of the to-be-processed image according to the to-be-processed image and the text embedding through a diffusion model, designing an editing operator according to a target instruction, updating the element vector by using the editing operator, and generating a result image according to the updated element vector through the diffusion model. According to the method, efficient, accurate and flexible editing of the image is realized by combining the diffusion model and the editing operator, and the problems that the expression of the model on a specific target category cannot be improved, the problem of long tail distribution cannot be solved and data similar to a real scene cannot be generated in the prior art are solved.

The invention relates to an automatic automobile lamp gluing and pressing device which comprises a workbench, a gluing mechanism and a pressing mechanism, a rotary table is rotationally connected to the workbench, a plurality of lower tools are arranged on the rotary table, an upper tool is slidably connected to the workbench, the gluing mechanism is arranged on one side of the workbench, and when the rotary table rotates the lower tools to the side close to the gluing mechanism, the upper tool is arranged on the lower tool; and the gluing mechanism is used for gluing the bottom shell on the lower tool, the pressing mechanism is arranged above the rotary table, and when the rotary table rotates the lower tool to the position below the upper tool, the pressing mechanism drives the upper tool to press the lampshade and the bottom shell. When the bottom shell is placed on the lower tool and the rotary table rotates the lower tool to one side of the gluing mechanism, the gluing mechanism conducts gluing on the bottom shell, the lamp shell is placed in the upper tool, and when the lower tool rotates to the position below the upper tool, the press-fit mechanism conducts press-fit on a base and a lampshade, so that the precision and stability of the automobile lamp are guaranteed, the production efficiency is improved, and meanwhile the production efficiency is improved. And errors and uncertainty caused by manual operation are reduced.

The invention discloses a standard value prediction method, an error monitoring method and a device thereof for a current transformer, and relates to a power system monitoring technology. The prediction method comprises the following steps: acquiring time sequence data of secondary sides of multiple current transformers; processing the time sequence data through a transposition embedding layer to obtain high-dimensional features; performing feature extraction on the high-dimensional features through a gating network attention network to obtain time sequence trend features; encoding the time sequence trend characteristics through a feedforward neural network to obtain encoding characteristics; and processing the coding characteristics through an output layer to obtain a predicted standard current value of the current transformer. According to the method, the accurate standard current value can be predicted and obtained to serve as the reference value of the current transformer, and therefore error monitoring of the current transformer in a circuit is achieved under the condition that no standard current transformer exists.

The invention discloses a deep tunnel surrounding rock mechanical parameter inversion method based on a three-dimensional brittle failure zone contour and sparrow optimization algorithm-information vector machine (SSA-IVM) combined optimization algorithm. The engineering technical problem that due to the fact that excavation instantaneous displacement is difficult to monitor, deep tunnel surrounding rock mechanical parameters are difficult to reasonably obtain through displacement back analysis is solved. The method comprises the following steps: firstly, constructing a tunnel FLAC3D numerical simulation model with the same ground stress condition at the occurrence position of a three-dimensional brittle failure zone; secondly, taking an absolute error between the total number of computational grid units in the actually measured brittle failure zone and the total number of computational grid units entering a plastic state in the range of the actually measured brittle failure zone after calculation of the FLAC3D numerical model as an optimization objective function; and then, by taking the tunnel surrounding rock mechanical parameters as optimization variables and taking a target function reaching a global minimum value as a target, performing global optimization by combining a tunnel FLAC3D numerical model and adopting an SSA-IVM joint optimization algorithm, thereby obtaining reasonable tunnel surrounding rock mechanical parameters.

The invention discloses a graphic design method for balancing the copper thickness of an impedance line. The graphic design method comprises the following steps: S1, determining a first residual copper rate of a graphic area of an impedance strip layer on a circuit board; s2, acquiring a second residual copper rate of an impedance strip area of an impedance strip layer on the circuit board; s3, the absolute value m of the difference between the second residual copper rate and the first residual copper rate is calculated; s4, m is compared with 5%, and if m is larger than 5%, the step S41 is executed; if m is less than or equal to 5%, executing the step S42; s41, adjusting the width of the auxiliary copper sheet on the two sides of the impedance line in the impedance strip area, and returning to execute the step S2, the step S3 and the step S4 after the adjustment is completed until m is less than or equal to 5%; and S42, simulating a circuit of the pattern area on the auxiliary copper sheet to carry out dummy impedance line distribution in the impedance strip. According to the method, the difference between the copper plating thickness of the impedance strip coupon impedance line of an FCBGA product and the copper plating thickness of an actual graphic circuit can be reduced, and it is guaranteed that the impedance value simulated by the coupon impedance line of the impedance strip has reference significance.

The invention discloses a V2X cooperative sensing method and system based on a lightweight domain adapter. According to the invention, a lightweight domain adapter network is placed in a feature map input branch of each cooperative vehicle of a first V2X cooperative sensing network carried by an own vehicle to form a second V2X cooperative sensing network, and cooperative sensing of the own vehicle and the cooperative vehicles is realized by using the trained second V2X cooperative sensing network. According to the invention, by introducing the domain adapter network, collaborative 3D target detection under the condition of heterogeneous feature maps of the own vehicle and the collaborative vehicle is successfully realized. According to the method, under the condition that the whole basic cooperative detection network does not need to be retrained, the domain adapters corresponding to different feature maps are inserted, so that the domain difference between heterogeneous feature maps is effectively reduced, the detection performance and scene adaptability of cooperative 3D target detection based on V2X are greatly improved, and the detection efficiency is improved. The method has a high practical value for improving the collaborative perception performance of automatic driving.

The invention provides a model training method, an industrial internet anomaly detection method and a related device, and relates to the field of industrial internet. The model training method comprises the following steps: acquiring a training sample comprising a plurality of time sequence data samples; inputting the training sample into a domain projection module to perform feature extraction of a unified dimension to obtain a plurality of target features of a target dimension; inputting the plurality of target features into a feature mixing enhancement module for feature mixing enhancement processing to obtain positive features and negative features of a plurality of target dimensions; inputting the target features, the positive features and the negative features into an anomaly detection module for anomaly detection processing to obtain inter-block characterization and intra-block characterization corresponding to each feature, and characterization loss between the inter-block characterization and the intra-block characterization; and adjusting parameters of the anomaly detection model based on a first alignment loss among the plurality of target features, a second alignment loss among the plurality of in-block representations and a target loss determined by the representation loss, and obtaining the anomaly detection model with relatively good generalization ability.

The invention discloses a method for measuring the supply fairness of community old-age service facilities, and the method comprises the steps: obtaining the old-age service data of a community, carrying out the calculation and summation of the weights of four indexes, namely house type quality, activity space scale, environment greenness and service scale, and the normalized data, and obtaining an internal quality index; and evaluating the reachability score of the peripheral environment resource by adopting a Gaussian two-step mobile search method to obtain an old-age service supply index, and performing a superposition method on the internal quality index and the old-age service supply index to obtain a comprehensive score of the old-age service facility of each community. The Gini coefficient is used for calculating the comprehensive score accumulation proportion of the old people and the community old-age service facilities, the social environment space supply fairness is obtained, the community old-age service facility supply fairness is evaluated, the difference between communities is effectively reduced, and the community old-age service facilities are concerned and balanced.

The invention relates to a method for controlling the axial resistivity of a crystal bar and the crystal bar, and the method comprises the steps: carrying out the equal-diameter growth of a first crystal bar according to a preset equal-diameter parameter, measuring the axial resistivity of the first crystal bar, and drawing a change curve of the axial resistivity of the first crystal bar; calculating the unevenness of the axial resistivity of the first crystal bar; when the unevenness of the axial resistivity of the first crystal bar is greater than or equal to 17%, the evaporation of the antimony element is promoted or inhibited by adjusting the pressure parameter aiming at different change stages of the axial resistivity, so that the concentration of the antimony element in the silicon solution is adjusted; the risk that the reduction trend of the axial resistivity of the crystal bar is large due to the fact that the concentration of the antimony element in the silicon solution is high is reduced, and the risk that the increase trend of the axial resistivity of the crystal bar is large due to the fact that the concentration of the antimony element in the silicon solution is low is also reduced, namely, the difference value between the maximum resistivity and the minimum resistivity is reduced; and thus, the nonuniformity of the axial resistivity is reduced.

The invention relates to the technical field of product glue dispensing, in particular to a glue amount dynamic balancing method for a multi-valve glue dispenser and the multi-valve glue dispenser. The method comprises the steps that S1, glue cylinders of all the dispensing valves are filled with glue; s2, the object to be subjected to dispensing operation is moved to the operation platform deck, dispensing area division is conducted on the object to be subjected to dispensing operation according to the arrangement positions of the dispensing valves and the number of the dispensing valves in combination with the remaining amount of glue in the glue barrel, and the number of the dispensing areas corresponds to the number of the dispensing valves one to one; s3, each dispensing valve is controlled to carry out dispensing operation according to the corresponding dispensing area; s4, obtaining the residual amount of glue in the glue cylinder of each glue dispensing valve after the current glue dispensing operation is completed; and S5, repeating the steps S2 to S4, and returning to the step S1 when the glue allowance in the glue cylinder of each dispensing valve is in a relatively balanced state and any one dispensing valve cannot meet the dispensing requirement. The glue in the glue cylinder of each dispensing valve can be dynamically balanced, the frequency of frequent shutdown is reduced, and the dispensing production efficiency is improved.

The invention relates to a mine micro-seismic event time sequence prediction method, in particular to a mine micro-seismic event time sequence prediction method based on a KF-LSTM-BO network, and the method comprises the following steps: firstly, performing logarithm processing on time-space intensity data to enhance autocorrelation; meanwhile, in order to reduce the influence of accidental high-strength micro-seismic events on the data and reduce the difference between the data, a maximum and minimum value normalization method is adopted for normalization. In order to enhance the prediction effect of the irregular data, a KF filter is adopted to carry out de-noising reprocessing on the processed data. In consideration of inconvenience of manual parameter adjustment and high degree of dependence on deep learning knowledge, Bayesian optimization is introduced to perform hyper-parameter automatic adjustment and optimization on the KF-LSTM. According to the invention, the monitoring data can be acquired in real time for prediction, the safety of mining operation is improved, the production safety is ensured, and casualties are reduced at the same time.

The invention discloses a discrete orthogonal code sequence optimization method based on an iterative greedy code search memetic algorithm, and belongs to the technical field of radar waveform design. The performance of the method provided by the invention is superior to that of the existing method, and the self-correlation and cross-correlation performance of the discrete orthogonal code sequence set optimized by the method provided by the invention is further close to the existing lower bound, so that the difference between the self-correlation and cross-correlation performance of the discrete orthogonal code sequence set and the existing lower bound is reduced. Compared with a greedy code search method, the iterative greedy code search strategy provided by the invention is stronger in local search capability, better in optimization effect and higher in search efficiency. And the method can improve the final search optimization result of the algorithm under the condition of not increasing the operation time of the algorithm. By simultaneously adopting crossover and mutation operators in each iteration, the search diversity of the algorithm is increased, and the search space of the algorithm is expanded, so that a discrete orthogonal code sequence set with better orthogonality can be obtained more possibly.

The invention discloses an MDI insulin dose decision-making system with expert preference learning, which belongs to the technical field of insulin injection therapy and comprises a model learning module fusing physiological information, a closed-loop feedback type optimization decision-making module, a safety constraint module and a human-in-loop decision-making self-adaption module. According to the MDI insulin dosage decision-making system with expert preference learning, expert decision-making experience can be effectively applied to insulin dosage optimization, individualized self-adaption of bottom layer insulin dosage optimization decision-making and top layer decision-making is achieved, and the MDI treatment effect is improved.

The utility model discloses a pick-up lens, the pick-up lens comprises a lens barrel, and a lens group and a bearing member group which are arranged in the lens barrel, and the lens group sequentially comprises a first lens with positive focal power, a second lens with negative focal power, a third lens with positive focal power and a fourth lens with negative focal power from an object side to an image side along an optical axis; the second lens has negative focal power; the third lens has positive focal power; the fourth lens has negative focal power; the fifth lens has focal power; the sixth lens has positive focal power; the seventh lens has negative focal power; the bearing piece set comprises a sixth bearing piece which is arranged between the sixth lens and the seventh lens and at least partially makes contact with the image side face of the sixth lens. The maximum height L of the lens barrel in the optical axis direction and half ImgH of the diagonal length of an effective pixel area on the imaging surface of the camera lens meet the condition that L / ImgH is greater than 0.7 and less than 1.5; the effective focal length f of the pick-up lens and the curvature radius R12 of the image side surface of the sixth lens meet the condition that f / R12 is more than-0.5 and less than 0; the effective focal length f6 of the sixth lens and the outer diameter D6s of the object side face of the sixth bearing piece meet the condition that f6 / D6s is larger than 0.6 and smaller than or equal to 1.1.

The invention discloses an angular rate measurement method and system and application in a low-cost gyroscope array, and relates to the field of angular rate measurement, and the angular rate measurement method comprises the following steps: firstly, determining a standard error value of the gyroscope array measured in a current scene, then comparing a measurement result with the standard error value, and when the measurement result is greater than or equal to the standard error value, determining the angular rate of the gyroscope array. Updating the weight value when the measurement data of each gyroscope in the gyroscope array is synchronized, so that the measurement data of the gyroscope array meet the requirements; by constructing a final angular rate measurement difference value mapping equation, a mapping model is provided for subsequently obtaining a standard error value of a current measurement scene, and then a reference is provided for optimizing the weight of each gyroscope in a measurement gyroscope array; by optimizing the weight value of each gyroscope in the adjacent gyroscope matrixes, the difference between the measured angular rate data and the actual data is minimum, so that the measurement of other unknown angular rates in the current scene is more accurate.

The invention discloses a processing method and device for a display screen image containing a circuit area and a storage medium. The method and device are used for improving the screen body defect detection precision of the display screen image containing the circuit area. Shooting a to-be-tested display screen to generate a display screen image; generating a circuit area appearance image, a display area appearance image and a boundary area appearance image; generating a sample limiting screen circuit area appearance image; performing down-sampling on the circuit area appearance image and the sample limiting screen circuit area appearance image to generate a first compressed image and a second compressed image; generating a gray morphological structure kernel operator; performing bottom-hat operation, morphological expansion and arithmetic operation, threshold analysis processing and up-sampling expansion processing on the first and second compressed images to generate a target circuit area appearance image; performing adaptive emphasis filtering algorithm processing on the display area appearance image to generate a target display area appearance image; and performing defect detection on the target circuit area appearance image, the target display area appearance image and the boundary area appearance image, and outputting a defect analysis result.

The embodiment of the invention discloses a three-dimensional reconstruction method and device based on sparse view inline prior. A specific embodiment of the method comprises the following steps: determining a sparse point cloud of a three-dimensional scene from a sparse view angle image; according to the sparse point cloud, initializing the three-dimensional Gaussian point cloud to obtain an initialized three-dimensional Gaussian point cloud; performing random sampling in a preset range of each sparse view angle in each sparse view angle of the sparse view angle image so as to generate a pseudo view angle and obtain a pseudo view angle set; determining a plurality of optimization regular terms according to each sparse view angle and pseudo view angle set; determining a loss function according to the plurality of optimization regular terms; and according to the loss function, optimizing parameters of the initialized three-dimensional Gaussian point cloud so as to carry out sparse visual angle three-dimensional reconstruction. According to the embodiment, mode offset is inhibited, and the three-dimensional reconstruction quality under the sparse view angle is improved.

The invention relates to the technical field of natural language processing, in particular to a cross-domain sentiment analysis method fusing comparative learning and a domain alignment strategy, which comprises the following steps: inputting source domain and target domain texts into a model encoder to obtain source domain and target domain text features, and outputting each text feature through a model decoder to correspondingly generate a tag; constructing contrast loss, domain adversarial network loss and regularization item loss based on contrast learning, the domain adversarial network and a KL divergence adjustment mechanism; a pseudo label prediction model is obtained by minimizing the first loss function training model; inputting the source domain label and the target domain label into a pseudo-label prediction model encoder to obtain source domain label characteristics and target domain label characteristics, and outputting enhanced texts corresponding to the label characteristics through a pseudo-label prediction model decoder; constructing node matching and structure matching loss according to a graph matching principle; and training the pseudo label prediction model by minimizing the second loss function to obtain an enhanced text generation model. According to the invention, the cross-domain sentiment analysis effect is improved.

The invention relates to the field of batteries, in particular to a preparation process of a high-capacity battery. The problem that an existing large-capacity battery sharing pipeline assembly is difficult to assemble is solved. Comprising the following steps: processing a shell, prefabricating a single battery, loading the prefabricated single battery into a barrel, sealing, unpacking and connecting in parallel. A plurality of single batteries with a sealing assembly are arranged in a cylinder with an electrolyte sharing cavity, the cylinder is sealed by a cover plate, the sealing assembly is opened through an unpacking process, so that the electrolyte sharing cavity is communicated with an electrolyte region of an inner cavity of each single battery, and the electrolyte of each single battery is shared to guarantee the consistency of each single battery; and the cycle life of the high-capacity battery is prolonged to a certain extent. The electrolyte sharing cavity is a first channel located in the barrel, insertion is not needed, and the requirements for machining precision and assembly precision are low; and meanwhile, the assembly process is relatively simple, and the processing difficulty and the processing cost of the large-capacity battery with the sharing system are greatly reduced.

The invention belongs to the technical field of highlight injection mold temperature controller data regulation and control, and particularly discloses and provides a highlight injection mold temperature controller intelligent control regulation and control system which comprises the steps that whether an injection mold insert is replaced or not is recognized, flaw detection is conducted on a pre-material, and operation data of a highlight injection mold temperature controller are preset; the defect of the pre-material can be prevented from being amplified in the injection molding process; by identifying the defect parameters corresponding to the operation data, the specific operation parameters causing the defects can be accurately identified, so that the preset operation data of the next operation of the highlight injection mold temperature controller can be corrected in a targeted manner, the generation of the defects can be reduced, the consistency of the quality of products produced by injection molding each time is ensured, and the production efficiency is improved. The difference between products is reduced; the regulation and control trend of the preset operation data is determined by identifying the operation parameter deviation trend of the highlight injection molding target, and a scientific basis can be provided for a decision maker, so that the decision maker can make a more accurate and reasonable decision.

The invention belongs to the technical field of immunochemiluminescence, and relates to a PAMAM-mediated labeled small molecule compound and a synthesis method and application thereof.The PAMAM-mediated labeled small molecule compound is composed of small molecules, PAMAM and a marker, and the small molecules are provided with active groups or provided with derivative groups capable of reacting with amino under certain activation conditions to form covalent binding; the marker is provided with a succinimide group. The difference between a coupling product and a small molecular structure is reduced to the maximum extent through PAMAM mediation, the PAMAM dosage is extremely small and stable, compared with PEG, the molecular weight is more uniform, non-specific binding caused by hydrophobic interaction can be greatly reduced in immunoreaction, and good signals and separation can be obtained without purification of the product.

The novel linear bearing comprises an outer ring, a retainer and balls, the retainer is installed in the outer ring, a first sealing ring is arranged in the outer ring, a first clamping groove is formed in the outer ring, the side edge of the first sealing ring is connected into the first clamping groove in a clamped mode, a second sealing ring is arranged in the outer ring, and a second clamping groove is formed in the outer ring. The retainer is fixed between the first sealing ring and the second sealing ring, a circulating groove is formed in the side surface of the retainer, the balls are installed in the circulating groove, a step is arranged on the side edge of the outer ring, and the diameter of the step is slightly smaller than that of the outer ring. The step part is inserted into a mounting hole or a mounting groove in a box-type sliding block or equipment, and then the whole outer ring enters, so that the mounting is convenient, the time is saved, the efficiency is improved, the performance is enhanced, the influence of external force is resisted, and the phenomena of outer ring deformation, overall looseness of the linear bearing and the like are avoided.

The invention provides lactobacillus plantarum, a lactobacillus plantarum microbial preparation and a preparation method and application of the lactobacillus plantarum microbial preparation, and belongs to the technical field of microorganisms. The invention provides the lactobacillus plantarum HRB1pMG36e-luxS, and the lactobacillus plantarum HRB1pMG36e-luxS is prepared into a biological agent through the provided preparation method. The invention discloses lactobacillus plantarum L.plantarum HRB1pMG36e-luxS and a biological agent of the lactobacillus plantarum L.plantarum HRB1pMG36e-luxS, and the biological agent of the lactobacillus plantarum L.plantarum HRB1pMG36e-luxS is mainly applied to preparation of air-dried sausages. The lactobacillus plantarum HRB1pMG36e-luxS quorum sensing signal molecule AI-2 is high in expression quantity and has the capability of remarkably improving the activity of protease and lipase, the activity of intracellular protease is 16.23 U / mL protein, the activity of intracellular lipase is 14.24 U / mL, the problem of product difference caused by different environmental factors in the fermentation process is solved, and the quality, flavor and safety of the air-dried sausages are improved.

Provided is an optical control element capable of arranging an input portion and an output portion of an optical waveguide on the same side of a substrate in which the optical waveguide is formed, and capable of reducing differences in the configuration of each branch waveguide while minimizing optical path differences between branch waveguides. The optical control element has a substrate (1) having an electro-optic effect, an optical waveguide (2) formed in the substrate, and a control electrode that controls an optical wave propagating in the optical waveguide, characterized in that an input portion (incident light (L1)) and an output portion (emitted light (L2)) of the optical waveguide are formed on the same side of the substrate, the optical waveguide has at least one Mach-Zehnder type optical waveguide portion (MZ) having two branch waveguides (21, 22) branched from one optical waveguide and recombining the two branch waveguides to form one optical waveguide, and the branch waveguides have an even number of return portions (A1, A2).