14results about How to "Time consuming to solve" patented technology

The utility model relates to the technical field of thermal management, and discloses a radiator with an insert substrate, which comprises an insert substrate and radiating inserts, the top of the insert substrate is fixedly connected with a plurality of mounting seats, the bottom of each radiating insert is provided with a fixing component, the fixing component comprises a plurality of mounting columns, and the mounting columns are fixedly connected with the mounting seats. The multiple installation columns are fixedly connected to the bottoms of the heat dissipation insertion pieces, at least one rubber ring is fixedly connected to the outer side of each installation column, multiple installation holes are formed in the top of the installation base, grooves are formed in the installation holes, and heat dissipation fins are fixedly connected to the two sides of each heat dissipation insertion piece. According to the utility model, a sliding connection mode of the mounting columns and the mounting holes is adopted, and interference fit is formed through the rubber rings and the grooves, so that the functions of conveniently mounting and dismounting the heat dissipation insertion sheets are achieved. Compared with a traditional fixed installation mode, the design enables the heat dissipation inserting pieces to be rapidly replaced or adjusted, and the problem that the heat dissipation inserting pieces are tedious and time-consuming to replace in the prior art is solved.

This application provides a method for assessing the thermal fatigue life reliability of thermal interface materials. The method includes: applying boundary conditions and temperature loads to a simulation model of the thermal interface material; specifying the physical quantities of the thermal interface material to be output by the simulation model; and enabling the simulation model to perform simulation. Based on the simulation results, the method determines the thermal fatigue life reliability of the thermal interface material within a preset temperature variation range. This application solves the problem in related technologies where the assessment of the thermal fatigue life reliability of thermal interface materials relies on actual reliability testing after chip packaging, resulting in long processing times and high costs.

The application relates to the technical field of image processors, and discloses a tumor incisal edge design method based on a skin local image. The method comprises the following steps: establishing a global space coordinate system associated with the skin of a patient; collecting a local image and a six-degree-of-freedom pose by using a handheld device integrated with a pose tracking function; projecting and fusing the image to a digital surface model in real time to generate a panoramic image; segmenting a tumor boundary by using a deep learning model, and generating a safe incisal edge path by outward expansion based on a geometric algorithm; and finally projecting the incisal edge to the skin surface in the form of structured light by using a built-in projection unit of the device. The application realizes high-precision and low-delay dynamic planning and visualized guidance of the tumor incisal edge, and improves the precision and efficiency of the operation.

The application discloses a method and device for determining interaction capability, a storage medium and an electronic device, relates to the technical field of smart home, and the method comprises the following steps: starting a recording task of an interactive voice between a target object and a voice interaction device at a first time point, wherein the first time point is an end time point of the target object issuing a wake-up audio to the voice interaction device; ending the recording task at a second time point to obtain audio response data of the voice interaction device between the first time point and the second time point, wherein the time difference between the second time point and the first time point is a preset time threshold, and the audio response data comprises a first response result of the voice interaction device to the wake-up audio, a response time of the voice interaction device to the wake-up audio, and a second response result of the voice interaction device to a voice instruction issued by the target object; and determining the interaction capability of the voice interaction device according to the audio response data.

The application discloses a kind of based on time scale SiC power MOSFET single pulse UIS failure behavior determination method, by in the single pulse non-clamping inductance switching test of SiC power MOSFET, determine the final avalanche resistance time, and then obtain the failure behavior of single pulse non-clamping inductance switching.The application solves the problem of avalanche failure mechanism determination method for SiC power MOSFET under single pulse non-clamping inductance switching.Perfect the reliability evaluation theory system of wide bandgap semiconductor device.Realize the quick prediction from macroscopic electrical parameter to microscopic physical failure, solve the problem of long time-consuming and destructive in the prior art, just need to extract "avalanche resistance time t av In macroscopic electrical test, the critical failure temperature and specific physical damage inside the device can be predicted, the failure behavior of SiC power MOSFET avalanche failure behavior is distinguished and classified, and the efficiency of failure analysis is greatly improved.

The invention discloses a constant value remote dynamic operation and maintenance system and method, and belongs to the technical field of intelligent substation operation and maintenance, and the system comprises a cloud cooperative control unit, an edge agent unit and a terminal constant value processing unit which construct a cooperative operation and maintenance architecture through a communication network. Wherein the cloud cooperative control unit is deployed in a regional regulation and control center, the edge agent unit is deployed in a field station, and the terminal constant value processing unit is integrated in a relay protection device. Constant value remote management is realized through a cloud side-end collaborative architecture, operation and maintenance personnel do not need to be on-site on duty, the problem of time consumption of going back and forth on site in a traditional mode is solved, and manpower and traffic costs are reduced; the whole course of constant value modification, checking and tracing is automatic, manual intervention is reduced, the single constant value adjustment period is shortened from several hours to the minute level, and the operation and maintenance response speed is improved.

The utility model discloses a front end B ultrasonic can develop nasal tube, including pipe body, put into guide wire and developing structure, the end of putting into guide wire is equipped with handle, the end of pipe body is equipped with the connecting joint, and developing structure sets up at the front end of pipe body, and the pipe cavity is opened in the pipe body, and the front end of putting into guide wire passes through connecting joint and extends into the pipe cavity, and developing structure includes developing ring, and developing ring is made of pure titanium metal material, and the outer periphery of pipe body is equipped with the scale ruler that has been coated, the utility model discloses a nasal tube through setting up the developing structure with the pure titanium metal developing ring at the front end of pipe body, and pure titanium metal is medical grade material, has excellent biological compatibility, and corrosion resistance, and can clearly develop under B ultrasonic, therefore when putting the nasal tube of the utility model into the pipe, the development of the front end developing ring can clearly judge the trend positioning of nasal tube under the guidance of B ultrasonic, realizes the whole process visualization of putting into the pipe, avoids the occurrence of ectopic adverse events to realize accurate positioning.

The utility model discloses a diesel engine tail gas purification treater belongs to tail gas purification treater technical field, the utility model discloses a first circular ring is installed on the shell, is equipped with the rectangular hole on the first circular ring, is installed with the second circular ring on the cover, is equipped with the mounting hole on the second circular ring, and the connecting assembly is set up on the second circular ring, is provided with the limit post on the connecting assembly, and the limit post is set up in T shape, and the limit post is through the rectangular hole, and the limit post after rotation and the bottom surface of first circular ring resist. The utility model discloses the cooperation between connecting assembly, limit post, first circular ring and rectangular hole has realized the quick dismounting between purification treater cover and shell, has solved the shell and cover of existing purification treater and adopt bolt connection mode fixed, and when installing and disassembling need the help of wrench and other tools, and the problem of tedious operation and time -consuming.

This invention discloses a method and system for detecting superficial fungi using microscopic images based on the YOLO model. The method involves collecting and annotating microscopic images of clinical superficial fungal disease samples. The annotated images are then classified and input into deep learning-based target detection models (including SSD-VGG16, Faster R-CNN, YOLOv5, YOLOv8, and YOLOv11 models) for training and testing. The system adjusts the Intersection over Union (IOU) threshold and evaluates the effectiveness of the confidence aggregation strategy. After preliminary performance evaluation, the best-performing model, YOLOv11, is optimized. The IOU threshold is optimized, and the system evaluates thresholds within the range of 0.25-0.75. Image-level confidence analysis is performed to evaluate the aggregation strategy. The YOLOv11 model of this invention performs optimally at 400× magnification, with an F1 score of 86.60% for hyphae detection and 95.90% for spore detection.

The invention provides an onboard optical coupling device which is connected between two data processing devices. The onboard optical coupling device includes an optical waveguide having a plurality of alignment channel units and a plurality of waveguide channels. The first photonic device includes a plurality of first return channels and a first optical channel. The second photonic device includes a plurality of second return channels and a second optical channel. In the one-time alignment process, the multiple first optical channels and the multiple second optical channels are optically aligned with the corresponding waveguide channels, and meanwhile the first return channel and the second return channel are optically aligned with the alignment channel unit, so that the optical alignment efficiency is improved.

This disclosure relates to an intelligent design method, system, and medium for outsourced UHPC eccentrically compressed columns, belonging to the field of structural engineering technology. The method includes constructing a deep reinforcement learning network model; obtaining training samples and inputting them into the model; calculating the bearing capacity, cost, and compliance with engineering specifications using combinations of predicted design parameters obtained from the training samples; calculating a reward signal for training using the reward function and updating the network parameters; obtaining the load parameters of the outsourced UHPC eccentrically compressed column to be designed, and obtaining multiple sets of candidate design parameter combinations using the trained deep reinforcement learning network model; calculating the bearing capacity and checking against engineering specifications for the candidate design parameter combinations; and selecting the final design scheme based on the reward signal, the bearing capacity calculation results, and the engineering specification check results. This disclosure realizes intelligent design of outsourced UHPC eccentrically compressed columns, enabling rapid and efficient acquisition of the safe and economical optimal design.

The invention discloses an interactive voice processing method and device, a storage medium and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: sequentially carrying out the voice recognition of an mth intermediate voice packet to an nth intermediate voice packet under the condition of receiving the nth intermediate voice packet corresponding to an interactive voice sent by a target object, determining an intermediate text corresponding to each intermediate voice packet; constructing an interaction instruction according to the m-th to n-th intermediate texts, and performing intention analysis on the m-th to n-th intermediate texts in sequence to determine text intentions corresponding to the m-th to n-th intermediate texts; determining whether the text intention is matched with the interaction instruction; under the condition that it is determined that the text intention is matched with the interaction instruction, whether the interaction instruction exists in historical interaction instructions or not is determined; and when it is determined that the interaction instruction does not exist in the historical interaction instructions, sending the interaction instruction to a corresponding target execution device, so that the target execution device executes the interaction instruction.

The application discloses a retinal cross-modal segmentation method and device based on domain-invariant contrast learning, relates to the technical field of medical image segmentation, and comprises the following steps: acquiring a retinal image; establishing a retinal cross-modal segmentation model; inputting the retinal image into the retinal cross-modal segmentation model to obtain a segmentation result of the retinal image, wherein the retinal cross-modal segmentation model is based on a U-net model as a basic framework, is trained by using image data of different modes, and is obtained through domain-invariant contrast learning and uncertainty perception self-integrated teacher framework. The application can effectively adapt to new modes and realize accurate image segmentation under limited labeled data.