128results about How to "Reduce modeling costs" patented technology

The invention discloses a building roof reconstruction method based on airborne LiDAR data. The method comprises the steps of 1, obtaining LiDAR point cloud data, and 2, processing the LiDAR point cloud data; the step 2 comprises the processes of 201, dividing building roof patches to obtain a plurality of roof patches from the building roof, 202, obtaining building roof point cloud data, 203, extracting outer contour points of the building roof and the roof patches, and meanwhile, extracting the outer boundary line of the building roof, 204, obtaining the vector boundaries of the roof patches, including establishing a search information set, carrying out neighborhood search, determining the types of the outer contour points and determining the vector boundaries, and 205, obtaining a vector model of the building roof, namely obtaining the vector model of the building roof after determining the vector boundaries of the plurality of roof patches. The method is simple in steps, reasonable in design and convenient to realize, good in using effect, and capable of completing the reconstruction processes of the building roof simply, conveniently and quickly with high quality.

The invention provides a cultivation method of Cyp gene knocked-out rats, and a preparation method of liver microsome of the rats. The Cyp gene knock-out herein includes Cyp single gene knock-out and Cyp multiple gene knock-out. In the method, firstly a Cyp gene knocked-out rat is constructed by means of a CRISPR/Cas system, which includes selection of a knocked-out target site, in-vitro synthesis and transcription of sg RNA and Cas9m RNA, preparation of a pseudopregnant female rat, in-vitro micro-injection and transplanting of a single-cell embryo, and cultivation of the rat, and finally, a homozygote Cyp gene knocked-out rat can be cultured. Furthermore, the liver of the Cyp gene knocked-out rat is extracted and is subjected to homogenization and differential centrifugation to prepare the liver microsome of the rat in Cyp gene deletion. The invention also provides an application of the Cyp gene knocked-out rats and the liver microsome thereof in study on drug metabolism.

The invention discloses a method for fast constructing a high-accuracy personalized face model on the basis of facial images, which belongs to the cross field of computer vision and computer graphics, and aims at achieving the purposes of fast reconstructing a personalized 3D geometrical facial model and a high-accuracy 2D facial texture mapping on the basis of real facial images. The method comprises the following steps: firstly, shooting five facial images from multiple angles; secondly, marking positions and corresponding relationships of forty-one characteristic points on the facial images and a neutral facial model; thirdly, aligning the projection of the neutral facial model on a virtual camera focal plane with the facial images; fourthly, carrying out hierarchical geometrical deformation on the neutral facial model to obtain the personalized geometrical facial model; and finally, synthesizing the high-accuracy facial texture mapping according to the five facial images. The face modeling method has the advantages of convenience for data acquisition, high modeling speed and modeling accuracy, and the like, and achieves higher practical values in the fields of video communication, electronic games, man-machine interaction, and the like.

The invention provides a ship electric system failure recovery method based on a multi-agent technology. A ship comprehensive electric system failure recovery algorithm is designed through a figure track analysis and multi-agent technology. A figure track analysis method is used for establishing a ship comprehensive electric system figure model, each side in the figure model corresponds to a component in a physical electric system, each main component has an agent of the main component, and component tracks are used for managing an electric system figure model topological structure and traversing other component agents. On the basis, the method uses the functions of information exchanging, interaction effect, cooperation, coordination work and communication of the agents as a foundation, and a ship electric system failure recovery task is completed in a coordination mode. The method can process the multi-priority failure recovery problem of an electric system with a loop and a load of the electric system, and under the premise that power supply recovery is carried out on a high-priority component preferentially, power supply recovery is carried out on outage components as many as possible.

The invention discloses a three-dimensional face modeling method and system based on multi-angle two-dimensional face data, and the method comprises the steps: recognizing face regions in a pluralityof face images with different shooting angles, and extracting face key feature information points of the face regions; performing corresponding matching adjustment on the face key feature informationpoints and corresponding feature information points of a standard face three-dimensional model; according to the plurality of face images, performing face size and shape matching adjustment on the standard face three-dimensional model to obtain a three-dimensional face grid model; and performing texture mapping on the three-dimensional face grid model based on the face texture map irrelevant to the viewpoint so as to generate a three-dimensional face image. According to the method, the cost of traditional three-dimensional face modeling can be reduced, and the precision of three-dimensional face recognition is improved.

The invention discloses a three-dimensional building model construction method applied to three-dimensional real estate information management. The invention belongs to the technical field of real estates. According to the invention, the SHP format two-dimensional house surface is generated through conversion; constructing an association relationship between a two-dimensional house and a two-dimensional house meter house of the three-dimensional house model; taking the basic level surface as the geographic space information reference of the two-dimensional house surface corresponding to the house layer; Construction of three-dimensional building model, assigning a value to the three-dimensional building model, and outputting and applying the three-dimensional building model to produce three three-dimensional building models with different data organization modes so as to adapt to browsing and query of the three-dimensional building models with multiple scales and different LOD levels at a Web end, and realizing rapid construction of the three-dimensional building model with geographic space information so as to be applied to two-dimensional and three-dimensional integrated management of the real estate.

The invention discloses a method for nondestructive testing of grape berries based on the near infrared spectrum technology, and particularly relates to a method for identifying table grape berries of different varieties and maturity degrees and under different insect attack conditions based on the near infrared spectrum technology. The spectral preprocessing method and the chemometrics modeling method are combined to build a quantitative analysis prediction model with grape inclusions as the test index on grape berries of different varieties and maturity degrees and under different insect attack conditions. The near infrared spectrum technology is adopted to identity the interior quality of different grape samples for test. The method has the advantages of being high in testing speed, high in efficiency and low in cost, is suitable for nondestructive testing of quality and safety of agricultural products, and can be used for effectively identifying grape berries of different varieties and maturity degrees and under different insect attack conditions. A series of studies suggest that the combination of the near infrared spectrum technology and the chemometrics method has great potential and development prospects in the fields of quick prediction of inclusions of grapes and variety identification.

The invention discloses a method and a system for network resource modeling. The method includes the steps of setting a network resource meta-model, and network resource modeling. The network resource modeling includes adding a target network resource model, and particularly includes the following steps: obtaining target network resource information, obtaining target network resource object attribute information, and adding the target network resource information and the target network resource object attribute information to the target network resource model which is corresponding to the network resource meta-model. Thus, the target network resource model built through the network resource modeling method has uniform data specification, and uniform validation logic and service processing logic are met, so that no physical table needs to be added even new network resource models are constantly added, and the modeling cost of the network resource model is greatly reduced.

The invention discloses a low-noise real-time global illumination drawing method for a three-dimensional geometric scene. The low-noise real-time global illumination drawing method comprises the steps of: initializing drawing of a current frame image by a main node, including, drawing view-port segmentation, model differential transmission and drawing background chartlet, and distributing segmented view-port parameters, a three-dimensional model and a background chartlet to each sub-node; carrying out multi-scale view-port layered drawing for the received three-dimensional model and video-port parameters, and transmitting each layer of drawn images to the main node by the sub-node; synchronizing the image of the current frame drawn by each sub-node and displaying the images in the same layer in a splicing manner by the main node; counting the number of frames drawn by each sub-node every second and drawing the image of the next frame by the main node. As the global illumination way is adopted to draw a complex three-dimensional geometric scene, the low-noise real-time global illumination drawing method for the three-dimensional geometric scene can provide roaming and rapid browsing of fixed scenes and dynamic movable scenes for a user, and can reduce noise points in the drawing process, improve drawing quality and lower modeling cost of the three-dimensional scene.

The present invention provides a method for reflecting a long-span engineering project progress. The method comprises the steps of: employing a real scene modeling technology and a BIM technology to construct an actual progress scene and a planning progress scene, and performing model data superposition to reflect an engineering progress condition, improve the controllability of engineering economic cost and benefit and ensure the completion of the whole engineering according to a progress plan. The method for reflecting a long-span engineering project progress can be widely applied to management of industrial and civil construction bridge and water conservancy and hydropower domain engineering subject visual progress.

The invention provides a container environment anomaly detection method and device, a medium and computer equipment, and the method comprises the steps: obtaining the historical process data of all business containers in each host machine node during normal operation for the host machine nodes in a container cluster; for each mirror image, establishing a detection model based on historical processdata in each service container corresponding to the mirror image; when the current process data of each service container is received, detecting the current process data based on the corresponding detection model, and judging whether the environment of each service container is abnormal or not; according to the method and the device, for each mirror image, the number of the containers created bythe mirror image is multiple, so that the process data is diversified, and the detection precision of the detection model can be ensured; moreover, in the container cluster, the number of the mirror images is far smaller than that of the service containers, so that compared with the mode of modeling each container in the prior art, the mirror images are modeled, and the modeling cost can be greatly reduced.

The invention relates to a method for improving machining accuracy of internal honing wheel strong gear honing. The method comprises the following steps that 1, according to an internal honing wheel strong gear honing technology of a machined gear, the gear honing process parameters influencing the gear machining accuracy are extracted, the gear honing process parameter combination is designed, the gear honing machining experiment is conducted, and the tooth surface outline error indexes of the machined gear are obtained; 2, according to the gear honing process parameter combination and the tooth surface outline error indexes of the machined gear, the mathematical model of the tooth surface outline error is constructed through the response surface nonlinear fitting method; 3, on the basis of the anticipated machining precision value corresponding to each tooth surface outline error index, the weight ratio is applied to each tooth surface outline error model, and the tooth surface comprehensive outline error mathematical model is constructed; and 4, based on the artificial immune clone selection algorithm, the gear honing process parameters are optimized, and the optimal honing process parameters are obtained. According to the method, the machining accuracy of the internal honing wheel strong gear honing is improved, and the theoretical basis is provided for the practical selection of the internal honing wheel strong gear honing process parameters and the improvement of the gear precision.

The invention discloses a compressor outlet parameter prediction modeling method based on a width learning system. The method comprises the steps of collecting data and preprocessing the data; constructing an outlet parameter prediction model of the compressor by utilizing a width learning system, setting the number of characteristic node groups of the width learning system as n, the number of k characteristic nodes in each group, the number of enhanced node groups as m and q enhanced nodes in each group, and performing modeling; when a new training data input model exists, using an incremental learning algorithm for carrying out online updating on an original model, an input data matrix of new training data being set as Xa belonging to Ra * M, an output data matrix being set as Ya belonging to Ra * C, a representing the number of newly-added training data, and performing model updating; and verifying the constructed model by using the root-mean-square error. According to the method, the performance prediction model of the large compressor can be quickly established, and the development time and cost of the model can be effectively saved.

The invention discloses a Ph+ acute B lymphocytic leukemia KQBL-84 cell line and a construction method and an application thereof. The cell line is preserved in China Center for Type Culture Collection on July 25, 2018 with the preservation number of CCTCC NO: C2018164. The cell line is characterized in that an MSCV-P210 retrovirus carrying a human fusion gene BCR-ABL infects bone marrow cells ofa C57bl/6 donor mouse to obtain a primary human cell line stably expressing the BCR-ABL human protooncogene, and screening and culture are then performed to obtain a highly carcinogenic and stably inherited precursor B cell line. Cells of the line established in vitro are injected into a C57bl/6 homologous receptor mouse. The cell line can be used for efficiently constructing a primary B-ALL mousemodel. The model has higher malignancy, rapid disease modeling and low modeling cost, and is suitable for evaluation of treatment methods of refractory/relapsing B-ALL and pathogenesis study of patients with B-ALL in Philadelphia chromosome positive (Ph+).

The invention discloses a modeling method of a home parameterized model, which comprises the following steps: S1, modifying any parameter or part in a modeling tool; S2, error detection: detecting whether factors influencing model form construction exist in the current model state or not, if yes, prompting a user, and if not, performing model construction; S3, initializing a current global dictionary. According to the modeling method, a parameterized model which is consistent with a real world household product in form and can have any required building production process auxiliary informationcan be constructed, and the modeling method can be used for household 3D design and production of household categories such as cupboards, wardrobes, doors and windows and suspended ceilings.

The invention discloses a data model generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring various different customer data; performing data processing on the plurality of customer data to obtain a plurality of corresponding sample data; inputting the plurality of sample data into a deep neural network for training to obtain a universal customer data coding model; performing model post-processing on the universal customer data coding model; and adding a classifier on the processed general customer data coding model, and inputting customer response data of the corresponding task into the general customer data coding model for model fine tuning to obtain a data model of the corresponding task, so that the data modeling efficiency is improved, and the modeling cost is reduced.