19results about How to "Solve the loss" patented technology

The invention relates to a brain-computer interface system which comprises a flexible electrode array, a receiving device, a flexible connecting wire and external equipment, wherein the flexible electrode array is implanted into a meninx middle artery in a minimally invasive manner through a superficial temporal artery puncture and a vascular intervention procedure; the receiving device is embedded under the skin of a head and is provided with a signal transmitter; the external equipment is provided with a signal receiver. A flexible electrode array is implanted in an anterior branch or posterior branch of a main branch of a middle meninx artery through a superficial temporal artery intravascular minimally invasive technology, the number of electrodes and the array are arranged according to needs, and a receiving device buried in the subcutaneous part of the head is electrically connected with the flexible electrode array implanted in the middle meninx artery. Craniotomy is not needed, operative complications are avoided, minimally invasive implantation reaches the surface of the cerebral cortex, operation of a doctor is easier, the operation time is shortened, and the comfort level of a patient is improved.

This invention discloses a method for obtaining the wide-angle single-station RCS of a medium target based on a compressed sensing algorithm. The steps are as follows: setting a wide-angle uniform incident plane wave illuminating the medium target; defining RWG basis functions and calculating the excitation vector for each incident angle; performing sparsification and compression on the excitation vectors respectively; generating the PMCHWT equations for the target surface and solving to obtain the compressed induced electromagnetic current matrix; recovering the original induced electromagnetic current matrix from each column of the compressed induced electromagnetic current matrix using the OMP algorithm; and calculating the radar cross section of the medium target based on the induced electromagnetic current vectors. This invention can obtain the RCS result at any angle with fewer PMCHWT equation solutions and combined with the OMP recovery algorithm, reducing the solution time for the wide-angle RCS of the medium target while ensuring accuracy.

The present application relates to a kind of forest leaf instance segmentation method and system based on deep learning, method includes: obtaining vegetation image, vegetation image is input into leaf instance segmentation model, obtains leaf instance segmentation prediction result;Leaf instance segmentation model is trained using training set;Training set includes: vegetation original image;Feature extraction and enhancement are carried out using backbone module in leaf instance segmentation model, and adaptive spatial fusion mechanism in progressive feature pyramid network is integrated to dynamically adjust feature weight, generate dynamic fusion feature;Through the dynamic asymmetric spatial perception mechanism built-in in dynamic anomaly regression head module, the corresponding multi-source deformation feature layer of dynamic fusion feature is obtained, and the feature fusion strategy of top-down cascaded decoding module is used to optimize multi-scale feature, obtain multi-source fusion feature layer, further using multi-source fusion feature layer, generate leaf instance segmentation prediction result.The present application solves the problems of data scarcity, poor adaptability and low efficiency.

Embodiments of the present application provide a kind of time sequence encoding method of space, three-dimensional reconstruction method and related product.Time sequence encoding method includes: sequentially projecting N line encoding diagrams to the space to be measured;For each pixel position of the space to be measured, based on the pixel gray value of the same pixel position in the N first shooting image, the time sequence value corresponding to the gray scale change peak value in the gray scale change curve is determined as the folded time sequence value;The M pixel interval is encoded by the preset encoding rule;Based on the encoding rule and the encoding value corresponding to the pixel interval of each pixel position, the folded time sequence value corresponding to each pixel position is unfolded, and the unfolded time sequence value corresponding to each pixel position in the space to be measured is obtained.The embodiments of the present application simultaneously utilize space information and time domain information to time sequence encode each pixel position of the space to be measured, effectively solve the problem of data loss in high reflection or high dynamic area reconstruction.

The utility model discloses a building electrical design multifunctional tool table belongs to building electrical technical field, including tool table body, the front side of tool table body top is provided with the storage groove, and the multiple baffle in storage groove divides the space into independent area, can be according to the accurate zoned storage of tool type, avoids all kinds of tools to mix and pile up, and sliding type tool box is used to store commonly used tool specially, effectively solves the tool loss problem of traditional tool table because of disorder, reduces resource waste, makes tool management more rationality, and the push-pull type switch is realized to the cooperation of sliding block and sliding groove of cover plate, and cooperation buckle assembly can complete locking and unlocking quickly, and tool box can be directly along mesa push-pull and use, shortens the tool access time, reduces work interruption, and the flat mesa can be formed after cover plate closes, further expands operation area, solves the mesa disorder problem of traditional tool table tool pile up, reduces the risk of accidental contact tool.

The application discloses a radio data processing method, device and equipment and a storage medium. The method comprises the following steps: acquiring a radio data set to be processed; wherein the radio data set to be processed has corresponding generation time information, the radio data set to be processed comprises radio data to be processed of a to-be-processed task, and the to-be-processed task comprises a plurality of subtasks executed in a preset order; determining a target memory matched with the radio data set to be processed according to the generation time information, a total number of memories and a pre-established memory management table, and storing the radio data set to be processed in the target memory; calling a processing thread corresponding to each subtask in the plurality of subtasks in the target memory according to the preset order, and processing the radio data to be processed by using the processing thread. The technical scheme of the application improves the calculation speed of radio data.

This invention discloses a backdoor attack method, system, and medium based on multi-object semantic coexistence in text-to-image diffusion models. This method utilizes the perspective of multi-object semantic coexistence in text-to-image diffusion models to develop MOBA backdoor attack schemes. First, by constructing a trigger alignment dataset and optimizing backdoor implantation and semantic preservation in parallel, the attack success rate and visual concealment are effectively improved, reducing the impact of semantic corruption on attack effectiveness. Second, during model training, an attention-based decoupling backdoor enhancement mechanism is adopted. By decoupling the attention regions of different objects, the semantic integrity of the input prompt is maintained while the backdoor is activated and the attention distribution is reasonably adjusted to reduce the impact of generation bias on attack concealment. The method of this invention ensures both visual concealment and model performance under benign input while achieving efficient backdoor attacks.

The application discloses a communication method based on a TTE dual-redundancy network and belongs to the technical field of satellite network communication, and comprises the following steps: a hierarchical guarantee mechanism of BE data cold backup and TT / RC data hot redundancy is designed; then, for BE multicast service, redundancy switching is carried out through remote control instructions, for BE unicast service, an ARP trigger mechanism is modified, and a redundancy attribute is introduced in the ARP protocol, so that data transmission is only carried out on an effective redundancy link where a target device is located. The state of the dual-redundancy path is dynamically monitored in combination with an SNMP protocol, so that the network resource utilization rate and the real-time performance and reliability of network data transmission are significantly improved.

The application belongs to the technical field of computer software, and discloses a dynamic binding and analysis method and system for multi-source heterogeneous data in a low-code platform, which comprises the following steps: using a recursive path serialization algorithm, a lexical rule is disassembled into an ordered attribute access sequence, and a business field identifier is extracted based on the ordered attribute access sequence to output a listening queue with a dependency relationship; the listening queue is used as a driving basis to perform multi-dimensional layered retrieval and data aggregation operation, and an evaluation strategy is selected according to the execution result and the complexity of the reference mode, and a memory isolation cloning result is output to complete data binding and analysis processing. The application constructs a self-describing protocol with conflict avoidance capability to solve the problem that static JSON configuration cannot directly express dynamic logic in a low-code environment, and can statically extract field-level fine-grained dependencies and establish accurate responsive listening.

The application relates to the field of artificial intelligence and image processing technology, and discloses a multi-modal large model driven complex scene image data processing method and system. The method obtains target image data, extracts multi-scale semantic features, performs feature coding based on a scene context dependency graph, generates optimized feature representation through attention guided feature fusion and multi-level semantic reasoning, and executes a target processing operation. The application can effectively improve the complex scene image understanding accuracy, enhance the feature expression capability, improve the performance of the model in spatial relationship reasoning and semantic analysis, and is suitable for complex visual scene analysis and decision-making.

The application discloses an evaluation method and system based on child growth hormone secretion data, and relates to the technical field of medical data processing.The method determines candidate points through robust outlier preliminary screening by acquiring a growth hormone concentration time sequence; extracts a concentration subsequence of a neighborhood window of the candidate points, calculates a dynamic time warping distance of the concentration subsequence from a preset pulse sequence by using a dynamic time warping algorithm, and converts the dynamic time warping distance into a pulse score; performs candidate point reservation, elimination or boundary undetermined point marking according to the score, and generates a first purified concentration sequence from the remaining points; obtains a first fitted concentration sequence by deconvolution reconstruction, and performs LB test on a residual sequence; if significant, performs flip verification based on a residual sum of squares improvement range on the boundary undetermined points in descending order of the score, obtains a third purified concentration sequence, and outputs an evaluation report.The application solves the problems of outlier elimination error and deconvolution system deviation through pulse morphological structure perception and residual feedback verification.

The application relates to an image denoising method and device, computer equipment and a storage medium, wherein the image denoising method comprises the following steps: acquiring a sequence image of a plurality of frames of X-rays, updating a background image of two adjacent frames of the sequence images to obtain a background iteration image corresponding to a current frame of the sequence images; determining a first similarity of the two adjacent frames of the sequence images; determining a second similarity of the current frame of the sequence images and the background iteration image; and updating the current frame of the sequence images according to the first similarity and the second similarity to obtain a target frame image. Through the application, the problem that image background information loss caused by structure motion cannot be effectively avoided is solved, and the image denoising effect is improved.

The utility model discloses a kind of anti-lost flip type integrated battery box, including bottom cover main body;Integrated battery box further includes: clamping cover, clamping cover is hinged on bottom cover main body, gap between clamping cover and bottom cover main body is 0.15mm~0.3mm, for exposing battery compartment by opening and closing clamping cover;Limiting stopper, it is installed on bottom cover main body, and located at the side of clamping cover away from buckle block, the turning angle of clamping cover is limited by limiting stopper, to avoid clamping cover damage;Battery mounting block, pivot mounting block, threaded connection block and buckle block are all fixedly installed on bottom cover main body, and with bottom cover main body as integrated connection no gap;The utility model, by 3D printer integrated printing hinge clamping cover and bottom cover main body, completely solve the problem of lid loss.Limiting stopper is accurately limited clamping cover turning angle, to avoid excessive collision with bottom cover surface, effectively protect clamping cover and connecting structure, prolong battery box service life.Integrally formed design enhances structural strength, to ensure that battery is stably installed.

This invention relates to the field of industrial production technology and discloses a digital twin modeling and collaborative optimization system for industrial production lines. The system includes the following modules: a production contract and self-evolution constraint module, used to construct a set of production contracts for multiple production units and a set of system self-evolution constraints to limit the boundaries of the operational behavior of the production units and the modification methods of the production contract set; an event ledger module, used to receive operational events and write them into the event ledger after performing admission verification based on the production contract set and the system self-evolution constraint set; a state generation and management module; a collaborative settlement module; an execution generation module; and a consistency detection and repair module. By introducing a production contract set, an event ledger, and an event folding mechanism, the actual operational events are strictly bound to the internal state evolution process of the system, avoiding twin state distortion caused by inconsistent rules or state drift in multi-production unit collaborative operation scenarios.

This application discloses a non-blocking data communication method and system based on priority inheritance. The method includes: obtaining the calling end and priority of a target communication task, wherein the calling end of the target communication task is a sender or a receiver; obtaining the current message queue status of inter-thread communication; when the message queue status reaches a preset boundary condition corresponding to the calling end, adjusting the priority of the interacting end of the calling end to the target priority; wherein the interacting end of the calling end is a non-calling end among the sender and receiver, and the target priority is greater than or equal to the priority of the calling end; and executing the target communication task based on the adjusted priority of the interacting end, thereby realizing inter-thread communication between the sender and receiver. The data communication method provided by this application, when the message queue status of inter-thread communication reaches a preset boundary condition, avoids high-priority tasks being blocked due to the low priority of the peer end by adjusting the priority across ends through cross-end priority inheritance, thus ensuring data processing efficiency.

The invention relates to the technical field of pollution traceability, and discloses a multi-scale coupled drainage basin pollution step-by-step traceability method, device and equipment and a medium, and the method comprises the steps: obtaining an initial simulation result of each sub-drainage basin outputted by a target SWAT model; determining a key sub-basin based on the initial simulation result; calling an APEX model to simulate by taking the key simulation result corresponding to the key sub-basin as a boundary condition to obtain an intermediate simulation result of the key sub-basin; performing grid unit division on the sub-region of the intermediate simulation result; determining a grid environment index of each grid unit; taking the initial simulation result and the intermediate simulation result as dependent variables, taking the grid environment index as an independent variable, and constructing a quantitative relationship between the grid environment index and the pollution load capacity; constructing a spatial distribution map based on the quantitative relationship; and tracing the target pollution load capacity of the target grid unit based on the spatial distribution diagram. According to the scheme, step-by-step traceability from the drainage basin to the sub-drainage basin and then to the grid can be realized, the problem of traceability intermediate fault in the prior art is solved, and the traceability accuracy is improved.

The invention discloses an electrocardiosignal classification method based on a dual-threshold neuromorphic reservoir, which comprises the following steps of: 1, receiving an electrocardiogram time sequence signal, and carrying out adjacent time sequence nonlinear coding operation on the electrocardiogram time sequence signal to generate an enhanced feature vector containing an original signal and a second-order interaction feature; step 2, inputting the enhanced feature vector into a dual-threshold neuromorphic reservoir, and generating a dual-channel pulse response sequence by using a dual-threshold pulse neuron to distinguish signal strength states; and step 3, constructing a joint feature vector according to the two-channel pulse response sequence, and inputting the joint feature vector into a classifier to obtain a classification result of the electrocardiosignals. According to the method, through cooperation of feature enhancement and a double-threshold mechanism, the problems that a traditional liquid state machine is poor in linear separability and neurons are prone to saturation are effectively solved, the number of the neurons is greatly reduced, and meanwhile the accuracy and the energy efficiency ratio of arrhythmia classification are improved.

The application relates to the technical field of wireless power transmission (WPT) and specifically discloses a static anti-offset WPT system based on vector synthesis, which is characterized in that a single-polarity transmitting coil and a bipolar transmitting coil are arranged on the transmitting side, a single-polarity receiving coil is arranged on the receiving side, and the vector synthesis of two magnetic fields is realized by exciting the two transmitting coils with orthogonal phases. When the receiving end is offset in the transverse direction (y-axis), the mutual inductance of the single-polarity path is attenuated and the mutual inductance of the bipolar path is enhanced, which are complementary to each other, and the polarity cancellation problem of the induced voltage is eliminated in combination with the 90-degree phase difference, so that the synthesized mutual inductance remains stable in the whole offset range. The application breaks through the technical bottleneck that the power density and the offset tolerance are difficult to be considered in the traditional scheme, and provides an anti-offset solution with high stability and high material utilization rate for the field of wireless charging of electric vehicles.