56results about How to "Reduced ability to recognize" patented technology

The invention provides an identification and early warning method and system for dangerous behaviors of inland ships. The method comprises the following steps: acquiring infrared monitoring video image data of an inland river water area to obtain a standard data set; then, performing ship main shaft identification according to the standard data set, performing bow and stern identification according to a ship gray value, and performing ship motion direction judgment; then, according to a method based on sample generation, a large number of ship target tracking virtual samples are generated; then, inputting the generated ship target tracking virtual sample into a DVIS model tracking training framework to realize tracking training, and obtaining a tracking model; and finally, according to the obtained tracking model and input real sample data, analyzing motion track data and a motion mode of the ship, and carrying out identification and early warning on dangerous behaviors of the ship. According to the method, tracking of ship behaviors under the complex ship shore environment condition is achieved, early warning is conducted on the ship dangerous behaviors, and the recognition rate of the ship navigation dangerous behaviors is further increased.

The present invention provides a PEG-modified docetaxel liposome lyophilized powder and a preparation method thereof. The composition of the liposome lyophilized powder according to mass percentage is: 0.01%-10% docetaxel; 10%-45% lipid membrane material; the balance is other excipients; the other excipients are PEG materials, antioxidants and lyophilization protectants, and the amount of PEG material added accounts for 0.01%~10% of the total mass of the lyophilized powder. The present invention can improve the deficiencies of ordinary liposomes and injections and other dosage forms by encapsulating docetaxel through long-circulating liposomes, enhance the solubility and safety of docetaxel, change the distribution of docetaxel in the body, and help to achieve good targeting; polyethylene glycol-modified long-circulating liposomes enhance the stability of docetaxel liposomes in plasma, prolong the retention time in the blood, help to exert the EPR effect, and achieve the purpose of high efficiency and low toxicity.

The invention discloses an object tracking method, a mobile intelligent device, a medium and a product, and relates to the mobile intelligent device. The method comprises the following steps: when a user object walks in a target area, receiving an area sound signal collected by the acoustic sensor; extracting a target foot sound signal of the user object from the area sound signal; determining relative position information and walking speed of the user object according to the target footstep sound signal; and controlling the moving direction and the moving speed of the mobile device to be matched with the user object according to the relative position information and the walking speed so as to track the display device. The footstep sound signals of the user are accurately captured and tracked through the acoustic sensor, real-time monitoring of user actions and automatic following of the mobile device are achieved, and interactivity and user experience of the device anytime and anywhere are enhanced.

The invention belongs to the crossing field of artificial intelligence and barrier-free assistance technology, and particularly discloses a sign language translation method and device based on a large language model.The method is applied to a terminal and comprises the steps that key points are extracted from sign language video frames; based on the coordinates, types and global indexes of the key points in the sign language video frames, obtaining fusion features through feature fusion; based on the fusion features corresponding to the sign language video frames in the frame window, time sequence modeling and classification are carried out, and a word prediction result of the frame window is obtained; a sliding window voting and deduplication mode is adopted, the candidate word sequence is preprocessed, a preprocessed word sequence is obtained, and the candidate word sequence is formed by connecting word prediction results of all frame windows in series according to a time sequence; based on the preprocessed word sequence, word error correction and statement generation are carried out by calling a large language model, and a sign language translation result is generated. According to the invention, sign language video translation can be realized for the terminal, and the accuracy and fluency of the translation result can be guaranteed.

The invention discloses a personal voice intelligent terminal for a fund transaction room. The personal voice intelligent terminal comprises a voice data acquisition and classification module, a data cleaning and structuring module, a task concurrency feature extraction module, a concurrency situation prediction module, a situation classification module, a normal situation processing module and a high concurrency situation processing module. And the voice data acquisition and classification module is used for acquiring voice data of traders in real time through terminal equipment in a financial transaction scene. According to the method, the voice data is collected and classified in real time, the feature engineering and the deep learning model are combined, the voice stream processing mode is dynamically adjusted, the high task concurrency situation is effectively dealt with, and misrecognition and resource conflicts are reduced. Voice streams are segmented and fragments are identified independently under the conditions of resource saving and high concurrency in a normal situation, so that major identification errors are prevented, fund loss and strategy failure risks are reduced, the market order stability is guaranteed, and the efficiency and security of a transaction room are improved.

The application provides an antibacterial neural electrode based on a high-surface-potential zirconium oxide layer and a preparation method thereof. The electrode comprises, from bottom to top, a bottom zirconium oxide film layer, a first insulating layer, a metal layer, a second insulating layer, a top zirconium oxide film layer and an electrode modification layer. A distal end of the metal layer is partially exposed to form an electrode point, and the electrode modification layer covers the electrode point. The bottom zirconium oxide film layer and the top zirconium oxide film layer are subjected to high-surface-potential treatment and exhibit a positive surface potential in a physiological environment. The positive surface potential can destroy the cell membranes of bacteria with negative charges through electrostatic action after the neural electrode is implanted in vivo, and inhibit the formation of microglial cells and astrocytes. The damage to the membranes of mammalian cells (such as neurons) with neutral electricity is extremely small. The application realizes active antibacterial function through the high-surface-potential zirconium oxide film layer, ensures long-term effective contact between the electrode and neurons, and thus realizes high-quality, long-term stable electrophysiological recording and stimulation function of the neural electrode.

This application provides a structured processing method, apparatus, electronic device, and medium for software engineering elements, relating to the field of software development technology. The method includes: generating an engineering element table for multiple types of software engineering objects for a preset software engineering project; each engineering element in the table records an element identifier and basic attribute information of the engineering element in the software engineering object; constructing an element reference chain based on the relationships between multiple engineering elements and element identifiers; the element reference chain consisting of at least a source element identifier, a target element identifier, and a relationship type; responding to a change event for a first engineering element, determining the affected engineering element based on the element identifier and element reference chain of the first engineering element; and verifying the affected engineering element based on a verification list generated for the affected engineering element. This application can determine affected engineering elements based on unified engineering elements and element reference chains, improving the efficiency of software development and version release.

The application discloses a human-computer voice interaction method and device, a storage medium and an electronic device, relates to the technical field of smart homes, and comprises the following steps: automatically performing voice recognition on voice interaction information of a target object, obtaining a first intermediate recognition text and a second intermediate recognition text, a pause duration threshold set in a first voice activity detection strategy for detecting a moment when the target object stops speaking is lower than a pause duration threshold set in a second voice activity detection strategy for detecting the moment when the target object stops speaking; comparing the first intermediate recognition text and the second intermediate recognition text until the second intermediate recognition text is consistent with the first intermediate recognition text, obtaining a target recognition result of the voice interaction information based on a voice recognition end identifier of the monitored voice interaction information; and performing natural language processing on the target recognition result to obtain a first interaction intention, thereby solving the technical problem that automatic voice recognition is not accurate enough in the human-computer voice interaction process.

The utility model discloses a computer flat cable automatic detection device, and relates to the technical field of computer detection equipment. The utility model discloses an automatic detection device for a computer flat cable, and the device comprises a detection platform which is used for installing a to-be-detected computer; the number of the supporting columns is four, the four supporting columns are distributed on the outer edge of the detection table in a rectangular array mode, and a mounting table is arranged at the free ends of the supporting columns; the detection assembly is installed on the installation table, the detection assembly is right opposite to the table top of the detection table, and the detection assembly is used for detecting a to-be-detected computer; wherein a detection channel is arranged between every two adjacent supporting columns.

This invention discloses a metabolically enhanced anti-tumor CAR-M cell co-expressing SLC protein, comprising the nucleotide sequence encoding the HER2 antigen-binding domain scFv and the nucleotide sequence encoding the SLC protein. The invention also discloses a method for constructing the aforementioned anti-tumor CAR-M cell and its application in the preparation of anti-tumor drugs. The anti-tumor CAR-M cell of this invention specifically recognizes HER2, thereby effectively reducing off-target toxicity, improving treatment safety and tumor specificity, and exhibiting significantly enhanced glutamine uptake capacity. It possesses a good metabolic reprogramming effect at the molecular level, resulting in stronger anti-tumor activity due to enhanced metabolism.

The utility model relates to the technical field of radio frequency tag detection, and discloses a detection device for ultrahigh frequency radio frequency tags, which comprises a detection table, and the bottom surface of the detection table is fixedly connected with a support base. According to the detection device for the ultrahigh frequency radio frequency tag, through the arrangement of the adjusting assembly, the supporting rod and the adjusting assembly, when the height and the angle of an RFID reader-writer need to be adjusted according to different sizes and shapes of the radio frequency tag during use, an adjusting bolt is screwed, a moving ring is adjusted up and down on the supporting rod, the position is determined, the adjusting bolt is screwed tightly, and then the adjusting bolt is screwed, so that the height and the angle of the RFID reader-writer are adjusted; by rotating the adjusting ball and adjusting the angle of the RFID reader-writer, the reading accuracy is achieved, the situation that after the RFID reader-writer is installed, a large amount of time is needed for angle adjustment is avoided, the sending and receiving angles of radio frequency signals are optimized, interference of external environment factors on the radio frequency signals is reduced, the possibility of misreading and misrecognition is reduced, and the reading accuracy is improved. And the identification rate and the reading success rate of the tag are improved.

The invention provides an intelligent homework correcting method based on geometric proof questions. The intelligent homework correcting method comprises a question image analysis step, a reference answer structured analysis step, a student answer semantic normalization step and a proof path matching judgment step. According to the method, a user-defined corner name in a student graphic label is efficiently and accurately analyzed, angle semantic expression is unified, structured analysis is carried out on a student written proof text, and a logic derivation path is extracted, so that whether an effective reasoning chain from question condition derivation to conclusion is formed or not is judged; and the understanding ability of custom labels of students and the structured judgment ability of logical reasoning chains are obviously improved.

This application provides a method, apparatus, device, and storage medium for identifying a target object, relating to the field of video processing technology. The method includes: when identifying a target object, first acquiring video frame images of the target object captured by a vision device, and simultaneously detecting the position of the target object by a radar device; and based on the position of the target object, determining the target image region where the target object is located from the video frame images; based on the target image region, extracting a portion of the video frame images containing the target object; and then identifying the target object in the portion of the video frame images to obtain the identification result of the target object. Using the technical solution of this application, the accuracy of the identification result can be improved without being limited by computing power.

The invention provides a live broadcast interactive information display method, processing method, device and equipment, and relates to the technical field of Internet live broadcast. The live broadcast interaction information display method in the disclosure comprises the steps of displaying reminding information based on a graphical user interface, the reminding information being generated based on interaction information of a live broadcast room; obtaining an interactive operation of the graphical user interface, wherein the interactive operation comprises a touch operation or a click operation; and determining the display position of the reminding information based on the distribution condition of the interactive operation in the graphical user interface.

The application discloses an acute large blood vessel occlusion identification and reperfusion decision method and system, and the method comprises the following steps: S1, obtaining medical record text and head multi-modal CT image data of a patient to be diagnosed; S2, performing natural language processing on the medical record text to obtain text features; S3, processing the multi-modal CT image data, calculating the ASPECTS score of non-enhanced CT, and positioning the blood vessel occlusion position and evaluating the collateral circulation from the CTA image to obtain image features; S4, performing weighted fusion on the text features and the image features to generate fusion features; and S5, inputting the fusion features into a pre-constructed guideline knowledge graph and a decision model to generate an individualized acute large blood vessel occlusion identification result and a reperfusion treatment suggestion. The application can automatically, quickly and accurately generate an individualized identification result and a treatment suggestion by fusing the features of the medical record text and the multi-modal CT image and combining a real-time updated guideline knowledge graph.

The invention relates to a voxel recognition method, system and device for choroidal neovascularization and a medium. The method comprises the following steps: S1, acquiring a choroidal neovascularization data set; s2, a three-dimensional structure data set is constructed and preprocessed; stacking the two-dimensional cross section image sequences of different light spots into a three-dimensional structure; s3, constructing a model; s4, performing model training; s5, applying the model; and identifying and predicting the choroidal neovascularization data set by using the trained voxel segmentation model, and outputting a prediction result of the choroidal neovascularization for subsequent medical statistical analysis. According to the method, voxel recognition and analysis statistics time of choroidal neovascularization is remarkably shortened, the recognition precision of the model is improved, the resource cost of manpower and material resources is greatly reduced in large-scale clinical tests, the morphology and position of the lesion are analyzed more comprehensively, and misjudgment and area omission caused by human factors are reduced.

This invention belongs to the field of target detection technology, specifically relating to a multimodal feature fusion method for water target detection. The method includes the following steps in sequence: a preprocessing step, including: based on two adjacent RGB image frames as input, separating mirror perturbations to generate a mirror mask and a motion cue map; an alignment and fusion step, including: using a stable frame as the primary modality and the mirror mask and motion cue map as secondary modalities, extracting primary and secondary modal features; and inputting the fused features into a detection head to obtain initial candidate boxes and category scores; and a loop closure determination step, including: based on the conformal saliency ratio calculated for the initial candidate boxes and calibrated within the same frame, outputting the final detection result for that frame. This invention can automatically identify and eliminate unstable candidates caused by reflection. It also enhances the robustness and consistency of the model in complex scenes such as strong reflections, water wave disturbances, and changes in viewing angle.

The present application is applicable to the technical field, and provides a dynamic verification method based on expression matching, including: based on an expression image database, randomly selecting an expression image as a reference image; dividing the reference image into multiple reference facial regions, and converting the multiple reference facial regions into multiple reference grids in sequence; based on the expression image database, using a dynamic expression feature generation algorithm to generate multiple verification grids; each of the reference grids and the verification grids can be rotatably set to generate reference rotation grids and verification rotation grids; generating multiple expression groups to be verified; receiving the expression group to be verified selected by the user, and verifying whether the expression group to be verified selected by the user is correct by comparing the expression group to be verified with the reference image. The present application has high security and can enhance user interaction and improve user experience during the verification process.

The invention provides a face recognition method based on point cloud data and RGB image sequential verification, and the method comprises the following steps: collecting two types of data at the same time, completing the face detection and cutting of an RGB image, combining histogram equalization and illumination compensation, extracting unitized features, comparing the unitized features with a feature library, and carrying out the confidence calibration. And according to the first upper threshold value and the first lower threshold value, primary judgment of passing, re-verification or refusal is made. After the RGB image passes verification, selecting a point cloud corresponding to a human face region, executing voxel downsampling, counting abnormal point removal and normal estimation, calculating local geometric description, performing robust registration, and constructing a single geometric similarity index based on a median absolute deviation of a point-to-surface residual error and quantile statistics; and outputting passing, re-checking or refusing according to the second upper threshold value and the second lower threshold value. Only when the two stages pass, an identity conclusion and confidence information are given; and when any stage is not passed or re-verification is not passed, outputting a rejection result or triggering a warning or auxiliary verification.

The present application relates to a method for detecting the access security of a distribution network carrier communication system. The method includes: collecting environmental parameter data through real-time monitoring, including power supply voltage value, temperature value and humidity value, and introducing data processing and signal analysis algorithms based on artificial intelligence and deep learning at the back end to analyze the original signal and the environmental parameter data, so as to learn and capture the waveform semantic features in the original signal and the multimodal time series correlation features of the environmental parameter data, and then use the cross-modal joint semantics between the two features to correct the original signal waveform semantics based on environmental fluctuations, so as to obtain a more robust device fingerprint. In this way, the impact of environmental interference on device fingerprint recognition and extraction can be reduced in a more intelligent way, thereby enhancing the stability and accuracy of fingerprint extraction and matching, so as to ensure the access security of the distribution network carrier communication system and ensure the stability and reliability of the power system.

The invention discloses a circuit board structure and method for improving the alignment precision capability between circuit board lamination layers, and the circuit board structure improves the board edge design of an existing circuit board which needs to be laminated, and on the basis of an existing Pi < n-1 > am positioning hole, the alignment precision capability between the lamination layers of the circuit board is improved. And a plurality of conductive blocks capable of heating and pre-fusing prepregs after being electrified are arranged on the edge of the plate. According to the method, the circuit board A and the circuit board B are manufactured according to the circuit board structure, the X-ray irradiation function is utilized firstly, and the T-face target and the B-face target on the circuit board A and the circuit board B are accurately recognized and matched when alignment between circuit board pressing layers is carried out, so that high-precision automatic alignment is achieved. And the electromagnetic hot melting function of the two vacuum table boards is started, so that the conductive blocks designed on the circuit board A and the conductive blocks designed on the circuit board B are used as fixing points to be fused with the prepregs respectively, the relative positions between layers can be kept unchanged in the fusion process, preliminary positioning is achieved, and the alignment precision is further improved. And after the preliminary fusion positioning, the Pi < n-1 > am positioning holes are utilized to carry out Pi < n-1 > am lamination on the whole, so that higher alignment precision among the layers in the lamination process is ensured.

The invention relates to the technical field of endoscopes, and discloses a duodenoscope system, a duodenoscope system control method and a storage medium. The duodenoscope system comprises a foresight camera module used for outputting illumination light for illumination and collecting a foresight image in the lens entering process; the side view camera module is used for outputting light of a target wave band to irradiate a target area and collecting an image of the target area in the treatment process; and the processor is used for controlling the front-view camera module and the side-view camera module to output light rays and outputting a front-view image or the target area image. The foresight camera module can realize illumination and image acquisition in the lens entering process, so that the convenience of a doctor in lens entering operation is improved; the side-view camera module can output light of a target wave band to irradiate a target area and collect an image of the target area, so that a doctor can quickly determine target tissue; the difference between operation and image recognition of different doctors on the duodenoscope system is reduced, and the overall medical quality is improved.

The application relates to the technical field of data processing, and discloses a multi-source heterogeneous data processing method and system for business security monitoring, which comprises the following steps: collecting original business data to perform feature extraction and obtain current structural features; comparing the current structural features with historical structural features, and performing drift determination in combination with the hit change of a preset paradigm field; when the field splitting drifts, performing field reorganization processing on the original business data to obtain normalized semantic values; generating stable alternative identifiers according to the normalized semantic values, and forming new mapping results and historical mapping results; performing parallel verification on the new mapping results and the historical mapping results to obtain verification results; when the verification results meet preset switching conditions, outputting target paradigm data, and using the target paradigm data for business security monitoring. The application improves the normalization processing stability of multi-source heterogeneous business data, the business object continuous association capability and the business security monitoring accuracy in a structural change scenario.

The present invention relates to the field of image processing, and provides a method for quickly locating abnormal visual information in a stitched image, by marking all stitched areas in the stitched image, dividing each stitched area into a plurality of sub-areas in turn, locating abnormal image blocks according to the pixel distribution in the sub-areas, and highlighting all abnormal image blocks in the stitched image. The method can effectively identify and locate abnormal visual information in the stitched image, reduce the need for manual participation in the identification and screening process, and can process a larger amount of image data in a shorter time by analyzing the pixel distribution in the sub-areas in parallel, significantly improving the overall visual quality of the stitched image, and can also be widely used in various images that need to be stitched, and has strong versatility.

The invention discloses a staphylococcus bacteriophage, a composition thereof, a kit and application of the staphylococcus bacteriophage, the staphylococcus bacteriophage is staphylococcus bacteriophage T1P2, the preservation number of the staphylococcus bacteriophage is CCTCC (China Center For Type Culture Collection) NO: M2024436, and the staphylococcus bacteriophage has a nucleotide sequence as shown in SEQ ID No. 1. The bacteriophage has broad-spectrum bactericidal ability, is wide in tolerance range to acid and alkali, has certain tolerance to chloroform, diethyl ether and bromogeramine with the final mass concentration of 0.1%, and can still keep high activity while splitting target bacteria; meanwhile, the bacteriophage has good tolerance to high temperature and can adapt to various application conditions in production.

The invention discloses a novel adeno-associated virus variant library for gene and cell therapy as well as construction and application of the novel adeno-associated virus variant library, and belongs to the field of biological medicines. Through high-throughput sequencing and gene editing, an AAV variant library containing a large number of mutants is constructed, the construction efficiency is improved, the diversity of the mutants is ensured, the cap gene of AAV is modified by the variant library through a site-directed mutagenesis technology, the transduction efficiency of human immune cells is improved, the limitation of an existing AAV modification method is overcome, and the AAV mutant library has good application prospects. The constructed novel AAV variant library has higher packaging efficiency, lower cytotoxicity and better adaptability, and provides more choices for development of gene therapy drugs; the screened novel AAV6 variant P482L has remarkable advantages in the aspects of transduction efficiency, safety and the like, and becomes a potential candidate vector in the field of gene therapy; the invention not only accelerates the progress of new drug research and development, but also provides a new tool and method for treating hereditary diseases, tumors and the like, and promotes the development of the field of gene therapy.

Embodiments of the present application provide a data center inspection system, a battery anomaly identification method, equipment and a storage medium. In the embodiments of the present application, a battery array image of a data center collected by a self-moving device can be obtained; and battery features of the battery array image are extracted to obtain battery features reflected by the battery array image; then, according to the battery features reflected by the battery array image, an abnormal battery in a target battery included in the battery array image and a target abnormal type of the abnormal battery can be identified, so as to realize automatic identification of the abnormal battery and the battery abnormal type of the abnormal battery, which helps to improve the battery anomaly identification efficiency compared with the manual inspection mode. On the other hand, compared with the manual inspection mode, the battery anomaly missed detection and misidentification caused by insufficient experience or negligence of the manual inspection can be avoided, which helps to reduce the probability of the battery anomaly missed detection and the probability of the misidentification.

The application relates to the technical field of credit entry, in particular to a credit entry method and terminal equipment based on a smart contract, which comprises the following steps: S1, uploading credit proof materials, performing feature rough extraction on the credit proof materials to obtain rough recognition results; S2, matching the rough recognition results based on a preset certificate template library to extract key recognition results; S3, matching the key recognition results based on a smart contract deployed on a blockchain to obtain credit values; S4, performing hash calculation on the credit proof materials to obtain material hash values, and performing blockchain storage on the credit values and the corresponding material hash values to complete credit entry. Through the whole-process processing of credit material uploading, key information recognition and credit calculation to blockchain storage, the artificial input and time cost are greatly reduced, the efficiency, digitization and intelligentization of credit entry management are effectively improved, and the technical effect that the material storage is unalterable is achieved.

The present application is applicable to the field of data rights confirmation technology, and provides a data rights confirmation method, device and electronic equipment based on self-encoding data tags, which obtain the coding information corresponding to the products of each purchasing end, and the coding information includes coding standards, coding methods and product codes; based on the coding standards and coding methods, an overall coding library of the purchasing end is constructed; based on the product code and the product trees of all production ends, nodes of each product tree are clustered to generate a product forest; based on the overall coding library of the purchasing end, all products in the product forest are self-encoded and purchasing end labels are added; based on the purchasing unit grade information and product performance grade information in each purchasing end, a simplified label of the purchasing end is determined; based on the simplified label of the purchasing end and the purchasing unit grade information, a forest of rights confirmation products is constructed; based on the confirmed product forest and the purchasing information of the target product in the historical purchasing plan, the target product and the purchasing information are qualified and approved, thereby improving the efficiency of product warehousing management.