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BRep Boundary and Junction Detection for CAD Reverse engineering 3

BRep Boundary and Junction Detection for CAD Reverse Enginee...

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3rd international conference on Computing and Machine Intelligence (ICMI)

作者： Ali, Sk Aziz Khan, Mohammad Sadil Stricker, Didier German Res Ctr Artificial Intelligence DFKI GmbH Kaiserslautern Germany

ISBN: (纸本)9798350372977;9798350372984

In machining process, 3D reverse engineering of mechanical system is an integral, highly important, and yet time consuming step to obtain parametric CAD models from 3D scans. Therefore, deep learning-based Scan-to-CAD modeling can offer designers enormous editability to quickly modify CAD model, being able to parse all its structural compositions and design steps. In this paper, we propose a supervised boundary representation (BRep) detection network BRepDetNet from 3D scans of CC3D and ABC dataset. We have carefully annotated the similar to 50K and similar to 45K scans of both the datasets with appropriate topological relations (e.g., next, mate, previous) between the geometrical primitives (i.e., boundaries, junctions, loops, faces) of their BRep data structures. The proposed solution decomposes the Scan-to-CAD problem in Scan-to-BRep ensuring the right step towards feature-based modeling, and therefore, leveraging other existing BRep-to-CAD modeling methods. Our proposed Scan-to-BRep neural network learns to detect BRep boundaries and junctions by minimizing focal-loss and non-maximal suppression (NMS) during training time. experimental results show that our BRepDetNet with NMS-Loss achieves impressive results.

关键词： BRep Boundary Detection Junction Detection Scan-to-CAD Reverse engineering NMS

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Moving Target Defense Technique Based on Stochastic Atlas Model 3

Moving Target Defense Technique Based on Stochastic Atlas Mo...

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3rd international conference on Intelligent Computing and Next Generation Networks, ICNGN 2024

作者： Fang, Zhu Xu, Zhengquan Chen, Zewen State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan China Artificial Intelligence Technology Co. Ltd Qingdao China

ISBN: (纸本)9798331529222

Network hopping is a key technology for ensuring network security. Traditional methods for generating IP hopping addresses rely primarily on fixed two-dimensional IP address tables and pseudo-random functions generating IP address sequences that provide limited resistance to certain network attacks. However, these methods often yield IP addresses with low randomness, posing potential security threats. To address this issue, we propose a random graph model to generate a normalized subspace. Based on this subspace and an IP address pool, we introduce a randomized mapping algorithm leveraging a stochastic mapping model to generate spatially and temporally randomized IP addresses. experimental results demonstrate that Stochastic Atlas Model (SAM) enables IP addresses to change randomly within the network, making it difficult for adversaries to trace their whereabouts, thus achieving the goal of resisting network attacks. Additionally, it is highly practical that does not generate significant interactions that would burden the network and hopping nodes with excessive computational resources and communication overhead. ©2024 IEEE.

关键词： Stochastic models

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3rd international conference on Emerging Research in Civil, Aeronautical and mechanical engineering, ERCAM 2021

3rd International Conference on Emerging Research in Civil, ...

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3rd international conference on Emerging Research in Civil, Aeronautical and mechanical engineering, ERCAM 2021

ISBN: (纸本)9789811913877

The proceedings contain 18 papers. The special focus in this conference is on Emerging Research in Civil, Aeronautical and mechanical engineering. The topics include: Design and Analysis of Longitudinal Butt Joints Using an Excel/VBA computational Tool;effective computational Tools for Teaching and Learning of Heat Transfer Through Extended Surfaces;Optimization of Tribological Properties of Microparticulate-Reinforced ZA-27 Composites;study of Characterization, mechanical Properties, and Tribological Behavior of Magnesium-Silver Alloy;peristaltic Flow and Heat Transfer Through a Prandtl Fluid in Vertical Annulus;effect of Variable Diffusivity on Solute Transfer with Reference to Stent;prediction of Thermal Conductivity for Al6061 Reinforced with Silicon Carbide and Graphite Using Statistical Approach;numerical Investigation of the Effect of Liquid Temperature on Supercavitation;smoke-Based Visualization of Jet Flow from a Cruciform Nozzle of Unit Aspect Ratio;aerodynamic Design and Numerical Analysis of Bi-cambered Airfoil;a Qualitative Comparison of the Effect of Exit Ramps and Coaxial Subsonic Jet on Primary Supersonic Jet;DSC and TGA Investigation on Ammonium Nitrate-Based Solid Propellant Doped with Ammonium Dichromate for Gas Generator Applications;experimental Investigation of Thin-Walled Multi-Cell GFRP Structure on Energy Absorption;study of Regression Rate in Hybrid Rockets Using Vortex Injector;designing of a Long-Range Autonomous Multirotor on a Custom-Built Carbon Fiber Frame;preface.

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Pin Design Based on Genetic Algorithm 3

Pin Design Based on Genetic Algorithm

引用

3rd international Signal Processing, Communications and engineering Management conference, ISPCEM 2023

作者： Zhang, Pan Gong, Yang School of Mechanical Engineering Sichuan University Jinjiang College Sichuan Pengshan China

ISBN: (纸本)9798350307023

Since the birth of artificial intelligence technology in the last century, many computational methods have emerged to solve real-world problems for people, and it has been deeply integrated with various industries. For example, in the field of mechanical design, design parameters are often encountered. In order to help determine the optimal values of these design parameters, this paper proposes a pin design method based on genetic algorithm. In the first stage of this method, a mathematical model is constructed, including determining the design requirements, objective expressions, optimization variables (pin diameter d and pin length I), and limiting conditions of the pin, It's theoretical basis is knowledge of material mechanics, mechanical principles, and design related machinery;The second stage is to set various operating parameters in the genetic algorithm. After 2000 iterations, the fitness (objective expression) in the genetic algorithm has achieved the optimal solution. The design results are pin diameter d=4.054260630211105 cm, pin length 1=8.000000014901161 cm, and pin mass m=805.55982715964 g. Through the above analysis, this method can be widely promoted and applied in mechanical design. © 2023 IEEE.

关键词： Artificial intelligence

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CAM: Compound attention module for improved vision models 3

CAM: Compound attention module for improved vision models

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2024 3rd international conference on Image Processing, Object Detection, and Tracking, IPODT 2024

作者： Liu, Houhong Tan, Fei Du, Zhengmiao School of Automation and Information Engineering Sichuan University of Science & Engineering Yibin China Sichuan Provincial Key Laboratory of Artificial Intelligence Yibin China

ISBN: (数字)9781510685529

ISBN: (纸本)9781510685512

In recent years, the attention mechanism has played a significant role in enhancing algorithm performance in deep learning-based visual tasks. Most methods focus on developing more complex attention mechanisms to improve network performance, which inevitably increases the computational complexity of the model. To balance performance and computational complexity, this paper proposes the CAM (Compound Attention Module) attention mechanism, which delivers substantial performance improvements with only a slight increase in parameters. The CAM module operates in two dimensions: space and channel. It is a lightweight, plug-and-play module with minimal computational overhead. We validate our CAM module through extensive experiments on image classification and object detection tasks using the CIFAR-100 and VisDrone2019 datasets. experimental results demonstrate that the model consistently improves image classification and object detection performance, outperforming similar modules. © 2024 SPIE.

关键词： Machine vision

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Design and Application of Sports Management Decision Support System based on B/S Model 3

Design and Application of Sports Management Decision Support...

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3rd international conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

作者： Zhang, Qinqin Gansu Institute of Mechanical & Electrical Engineering Gansu Tianshui741001 China

ISBN: (纸本)9798331519032

Due to complex data and changing environments, sports managers face many challenges when making decisions. In order to provide scientific and accurate decision-making support, a sports management decision-making support system based on the B/S model came into being. This research adopts the method and process of system design to develop the system, and uses data analysis and mining techniques to conduct in-depth analysis of the data, including statistical analysis, data modeling, and machine learning methods, to identify patterns, trends, and relevance in the data, and design and implement specific decision-making models and algorithms, based on historical data and domain knowledge, used to predict competition results, evaluate athlete status, and formulate training plans. After experimental testing, the response time range of the system is 0.4-1s. It provides sports managers with powerful tools and resources to improve the efficiency and accuracy of decision-making. © 2024 IEEE.

关键词： Data accuracy

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Design and experimental Analysis of Spur Gear–A Multi-objective Approach 3rd

Design and Experimental Analysis of Spur Gear–A Multi-objec...

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3rd international conference on Machine Learning, Internet of Things and Big Data, ICMIB 2023

作者： Panda, S. Alam, Jawaz Department of Mechanical Engineering VSSUT Odisha Burla India

ISBN: (纸本)9789819939312

Traditional design approaches involve determination of the design parameters that meet only one design condition at a time, which is inadequate for high consistency and reliability. To overcome this problem, an attempt is made to introduce two new design objectives i.e., the weight/volume of the profile modified spur gear drive and the contact or Hertzian stress at points of contacts in the multi-objective design fitness function. The main contributions of the study are multi-objective constraint based design optimization using Particle swarm optimization (PSO), manufacturing of non-standard gear sets using standard tooling, experimental investigation to explore the possibility of protection of the optimized spur gear set against wear, through monitoring of oil bath temperature, gear surface temperature, and frictional power loss. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Spur gears

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CFD-Driven Shape Optimization of a Racing Motorcycle 3rd

CFD-Driven Shape Optimization of a Racing Motorcycle

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3rd international conference on Design Tools and methods in Industrial engineering, ADM 2023

作者： Chillemi, Massimiliano Cucinotta, Filippo Passeri, Domenico Scappaticci, Lorenzo Sfravara, Felice Università degli Studi di Messina Messina Italy Allimep S.r.l. Perugia Italy

ISBN: (纸本)9783031520747

In motorsport applications the adoption of a computational Fluid Dynamics (CFD) simulation is a well-established practice. This analysis is very useful to understand and optimize the aerodynamics performance of the prototypes. By means of specific algorithms it’s possible to define one or more control parameters and so changing the geometry of the fairing to optimize an engineering value. These algorithms are largely used in other fields such as the hydrodynamics one but they are not largely used in motorsport, especially in motorcycles. The motorcycle considered in this study is a prototype participating in the Moto2 World Championship, the middle class of the MotoGP World Championship. Starting from tests, carried out in the wind tunnel, a baseline model was firstly created to get a correlation between experimental and numerical results and so used for a subsequent process of shape optimization. With the main objective of reducing the overall drag, a set of control points was defined on the existing geometry to deform the surface of the front fairing. These points have been used by the optimization algorithm to find the shape that reduces the overall drag. The optimized geometry made it possible to obtain the desired drag reduction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： computational fluid dynamics

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Design and experimental simulation analysis of automatic recycling and processing device for neutral refills 24

Design and experimental simulation analysis of automatic rec...

引用

3rd international Symposium on Control engineering and Robotics, ISCER 2024

作者： Zhang, Yiyue Li, Yazi Zhang, Yangqi Wu, Qing School of Mechanical and Power Engineering East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9798400709951

To promote the recycling of renewable resources and reduce carbon emissions, this paper introduces an automated neutral pen cartridge processing device. The device sequentially and uniformly transports pen cartridges to a transportation mechanism using a scissor fork mechanism. It then employs intermittent gear pairs and a disk cam mechanism for the intermittent conveyance of the cartridges. Following removal with a pneumatic fixture, the cleaning and recycling processes are conducted. Based on principles of mechanical structure, kinematic analysis, mechanical analysis, and finite element analysis, a detailed design of the mechanisms has been completed, verifying the device's feasibility and applicability. This research offers new concepts and methods for the design and development of renewable resource recycling equipment, contributing to the advancement of green manufacturing and sustainable development. © 2024 ACM.

关键词： Projectiles

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Sensor-Based Bioprosthetic Valve Monitoring: Numerical Simulation and experimental Design 4th

Sensor-Based Bioprosthetic Valve Monitoring: Numerical Simul...

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4th international conference of the Italian Association of Design methods and Tools for Industrial engineering

作者： Puleo, Silvia Diana, Gianluca Pasta, Salvatore Scardulla, Francesco D'Acquisto, Leonardo Univ Palermo Dept Engn Viale Sci Ed 8 Palermo Italy IRCCS ISMETT Dept Res Via Tricomi 5 Palermo Italy

ISBN: (纸本)9783031765933;9783031765940

Transcatheter aortic valve implantation (TAVI) was developed to treat adult patients, but the progressive deterioration of biological valve leaflets poses challenges for extending TAVI to younger individuals. This study aims to develop a computational and experimental approach to design photoplethysmography (PPG) sensor for monitoring transcatheter heart valve (THV) performance. Fluid-solid interaction analysis is conducted on an idealized aortic vessel after virtual deployment of the SAPIEN 3 Ultra (S3) device. Numerical findings are compared with in-vitro data using a 3D-printed aortic phantom in a mock loop system. computational flow data are then used for developing an analytical estimate of PPG signals, compared against experimental results from in vitro testing. Results show good agreement between analytical and experimental data, with a relative error on the pulse transient of 7.7%. Investigation into sensor positioning reveals placing sensors upstream and downstream of the bioprosthesis effectively assesses pressure gradients across the valve, aiding in developing an affordable monitoring system for detecting valve deterioration.

关键词： Transcatheter Aortic Valve Replacement FSI PPG in vitro experiment

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