scholarly journals Research on Building DSM Fusion Method Based on Adaptive Spline and Target Characteristic Guidance

Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 467
Author(s):  
Jinming Liu ◽  
Hao Chen ◽  
Shuting Yang
Keyword(s):  
Geometric Structure ◽  
3D Model ◽  
Structural Characteristics ◽  
Model Structure ◽  
Fusion Method ◽  
Structure Information ◽  
Practical Engineering ◽  
Target Characteristic ◽  
Target Characteristics ◽  
Constraint Method

In order to adapt to the actual scene of a stereo satellite observing the same area sequentially and improve the accuracy of the target-oriented 3D reconstruction, this paper proposed a building DSM fusion update method based on adaptive splines and target characteristic guidance. This method analyzed the target characteristics of surface building targets to explore their intrinsic geometric structure information, established a nonlinear fusion method guided by the target characteristics to achieve the effective fusion of multiple DSMs on the basis of maintaining the target structural characteristics, and supported the online updating of DSM to ensure the needs of practical engineering applications. This paper presented a DSM fusion method for surface building targets and finally conducted DSM fusion experiments using typical urban area images of different scenes. The experimental results showed that the proposed method can effectively constrain and improve the DSM of buildings, and the integrity of the overall construction of the target 3D model structure was significantly improved, indicating that this paper provides an effective and efficient DSM constraint method for buildings.

scholarly journals Design and electromagnetic analysis of switched reluctance linear generator in electric vehicle

2021 ◽  
Vol 2108 (1) ◽  
pp. 012016
Author(s):  
Jieyu Liu ◽  
Ye Tang ◽  
Wenyu Cheng ◽  
Changpeng Li
Keyword(s):  
Finite Element ◽  
3D Model ◽  
Structural Characteristics ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Element Analysis ◽  
Switched Reluctance ◽  
Linear Generator ◽  
Simulation Results

Abstract The structural characteristics and basic design requirements of design of switched reluctance linear generator are introduced. According to the general principles and design experience of electromechanical design, the dimension of design of switched reluctance linear generator is determined, and the two-dimensional and three-dimensional static finite element models of design of switched reluctance linear generator are established in Flux 2D and Flux 3D respectively. By comparing the simulation results of the two-dimensional model and the three-dimensional model, it is found that the difference between the real simulation results of the 2D model and the 3D model is small, and the calculation time cost of the 2D finite element simulation is much lower than that of the 3D model. Therefore, the subsequent work of this paper adopts the 2D finite element model. Finally, the static electromagnetic field and electromagnetic characteristics of the design of switched reluctance linear generator are analyzed by finite element analysis.

AnEimeriavaccine candidate appears to be lactate dehydrogenase; characterization and comparative analysis

Parasitology ◽  
2004 ◽  
Vol 128 (6) ◽  
pp. 603-616 ◽  
Author(s):  
D. SCHAAP ◽  
G. ARTS ◽  
J. KROEZE ◽  
R. NIESSEN ◽  
S. V. ROOSMALEN-VOS ◽  
...  
Keyword(s):  
Amino Acid ◽  
Lactate Dehydrogenase ◽  
3D Model ◽  
Amino Acid Sequences ◽  
Evolutionary Divergence ◽  
Model Structure ◽  
Partial Protection ◽  
Primary Amino ◽  
The Many ◽  
Intracellular Stage

AnEimeria acervulinaprotein fraction was identified which conferred partial protection against anE. acervulinachallenge infection. From this fraction a 37 kDa protein was purified and its corresponding cDNA was cloned and shown to encode a lactate dehydrogenase (LDH). Full length cDNAs encoding LDH from two related species,E. tenellaandE. maxima, were also cloned. The homology between the primary amino acid sequences of these threeEimeriaLDH enzymes was rather low (66–80%), demonstrating an evolutionary divergence. ThePlasmodiumLDH crystal structure was used to generate a 3D-model structure ofE. tenellaLDH, which demonstrated that the many variations in the primary amino acid sequences (P. falciparumLDH andE. tenellaLDH show only 47% identity) had not resulted in altered 3D-structures. Only a single LDH gene was identified inEimeria, which was active as a homotetramer. The protein was present at similar levels throughout different parasitic stages (oocysts, sporozoites, schizonts and merozoites), but its corresponding RNA was only observed in the schizont stage, suggesting that its synthesis is restricted to the intracellular stage.

Study on Automatic Drawing and Dimension of Hydraulic Flat Steel Gates on Inventor

2014 ◽  
Vol 501-504 ◽  
pp. 2536-2540
Author(s):  
Shu Jun Zhang ◽  
Li Hui Jin ◽  
Qun Wei
Keyword(s):  
Coordinate System ◽  
3D Model ◽  
Dimensional Space ◽  
Local Coordinate System ◽  
Graphic Method ◽  
Two Dimensional ◽  
Practical Engineering ◽  
Flat Steel ◽  
Automatic Drawing ◽  
Drawing Program

A method of automatic drawing and dimensioning for hydraulic flat steel gates, which determines the projection of 3D model and data in two-dimensional space by data graphic method, which orientates by local coordinate system, which automatic dimensions by Brep and location dimension, is presented. Automatic drawing program is written by VB.Net and C# on Inventor API, which can be directly used to practical engineering.

scholarly journals Multinozzle Multichannel Temperature Deposition System for Construction of a Blood Vessel

2017 ◽  
Vol 23 (1) ◽  
pp. 64-69 ◽  
Author(s):  
Huanbao Liu ◽  
Huixing Zhou ◽  
Haiming Lan ◽  
Fu Liu ◽  
Xuhan Wang
Keyword(s):  
Tissue Engineering ◽  
Blood Vessel ◽  
3D Model ◽  
Model Structure ◽  
3D Bioprinting ◽  
Porous Structures ◽  
Bioactive Materials ◽  
Organ Regeneration ◽  
Hierarchical Porous ◽  
Temperature Deposition

3D bioprinting is an emerging technology that drives us to construct the complicated tissues and organs consisting of various materials and cells, which has been in widespread use in tissue engineering and organ regeneration. However, the protection and accurate distribution of cells are the most urgent problems to achieve tissue and organ reconstruction. In this article, a multinozzle multichannel temperature deposition and manufacturing (MTDM) system is proposed to fabricate a blood vessel with heterogeneous materials and gradient hierarchical porous structures, which enables not only the reconstruction of a blood vessel with an accurate 3D model structure but also the capacity to distribute bioactive materials such as growth factors, nutrient substance, and so on. In addition, a coaxial focusing nozzle is proposed and designed to extrude the biomaterial and encapsulation material, which can protect the cell from damage. In the MTDM system, the tubular structure of a blood vessel was successfully fabricated with the different biomaterials, which proved that the MTDM system has a potential application prospect in tissue engineering and organ regeneration.

Mechanism Design of a Humanoid Robotic Torso Based on Bionic Optimization

2017 ◽  
Vol 14 (04) ◽  
pp. 1750010 ◽  
Author(s):  
Peng Yao ◽  
Tao Li ◽  
Minzhou Luo ◽  
Qingqing Zhang ◽  
Zhiying Tan
Keyword(s):  
Structural Design ◽  
Optimization Design ◽  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
3D Model ◽  
Structural Characteristics ◽  
Humanoid Robots ◽  
Chain Mechanism ◽  
Serial Chain ◽  
Simulation Results

A new torso structure for a humanoid robot has been proposed. The structural characteristics and functions of human torso have been considered to gain inspirations for design purposes. The proposed torso structure consists of six revolute units divided into two basic categories connected in a serial chain mechanism. The proposed torso structure shows more advantages compared to traditional humanoid robots in terms of high degrees of freedom (DOFs), high stiffness, self-locking capabilities, as well as easy-to-control features. Bionic optimization design based on objective function method has been implemented on structural design for better motion performances. A 3D model has been elaborated and simulated in SolidWorks and ADAMS environments for structural design and kinematic simulation purposes, respectively. Simulation results show that the new bionic torso structure is able to well imitate movements of human torso.

Study on the New-Style Building Materials in Civil Engineering — Architectural Sandwich Panel and its Application

2012 ◽  
Vol 568 ◽  
pp. 112-115 ◽  
Author(s):  
Lin Pan ◽  
Chun Han
Keyword(s):  
Building Materials ◽  
Sandwich Panel ◽  
Civil Engineering ◽  
Structural Characteristics ◽  
Sandwich Panels ◽  
Constructional Material ◽  
Practical Engineering ◽  
New Type

As a new type constructional material, sandwich panels are applied in engineering more and more. The structural characteristics of sandwich panels are described. The research on the sandwich panels is reviewed. The careful items of sandwich panels in practical engineering are investigated. Some new problems of sandwich panels are put forward for engineering researchers. It is helpful for engineers to learn the sandwich panel’s capacity in detail, which will be benefit to the sandwich panels applied in the practical engineering effectively.

scholarly journals 3D Model Classification Based on Bayesian Classifier with AdaBoost

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xue-Yao Gao ◽  
Kai-Peng Li ◽  
Chun-Xiang Zhang ◽  
Bo Yu
Keyword(s):  
3D Model ◽  
3D Models ◽  
Feature Descriptor ◽  
Shape Distribution ◽  
Structure Information ◽  
Adaboost Algorithm ◽  
Model Classification ◽  
Distribution Features ◽  
Model Database ◽  
Relationship Of

With the exponential increasement of 3D models, 3D model classification is crucial to the effective management and retrieval of model database. Feature descriptor has important influence on 3D model classification. Voxel descriptor expresses surface and internal information of 3D model. However, it does not contain topological structure information. Shape distribution descriptor expresses geometry relationship of random points on model surface and has rotation invariance. They can all be used to classify 3D models, but accuracy is low due to insufficient description of 3D model. This paper proposes a 3D model classification algorithm that fuses voxel descriptor and shape distribution descriptor. 3D convolutional neural network (CNN) is used to extract voxel features, and 1D CNN is adopted to extract shape distribution features. AdaBoost algorithm is applied to combine several Bayesian classifiers to get a strong classifier for classifying 3D models. Experiments are conducted on ModelNet10, and results show that accuracy of the proposed method is improved.

Structure Analysis of Volcanic Rock Based on the Texture Feature in Imaging Logging

2014 ◽  
Vol 915-916 ◽  
pp. 1229-1233
Author(s):  
Xiao Ling Xiao ◽  
Xiang Zhang
Keyword(s):  
Volcanic Rock ◽  
Structural Characteristics ◽  
Recognition Rate ◽  
Texture Features ◽  
Real Data ◽  
Structure Information ◽  
Response Characteristics ◽  
Electrical Imaging ◽  
Lithology Identification ◽  
Rock Structure

The rock structure information is a very important feature in the complex lithology identification. However, conventional logging response characteristics of the rock structures are very weaker, resulting that the recognition rate of complex lithology is very low in conventional logging. With the help of imaging logging data with accurate, intuitive structural characteristics of the rock, the volcanic structure is analyzed in electronic imaging logging data in this paper. First, several structural characteristics of volcanic rock are introduced. Then, several texture features are extracted based on image processing method. Finally, imaging logging response characteristics of different volcanic structures are analyzed by means of histogram, and some texture features of imaging logging are chosen to identify volcanic structures in the cross-plot method. Real data processing analysis results show that texture features extracted from electrical imaging logging is effective to distinguish the structures of volcanic rocks.

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