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detect and Identify Aneurysms Based on Adjusted 3d Attention UNet 1st

Detect and Identify Aneurysms Based on Adjusted 3D Attention...

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1st Cerebral Aneurysm detection and Analysis challenge, CAdA 2020 held in Conjunction with 23rd international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020

作者： Jia, Yizhuan Liao, Weibin Lv, Yi Su, Ziyu dou, Jiaqi Sun, Zhongwei Li, Xuesong School of Computer Science and Technology Beijing Institute of Technology Beijing China Mediclouds Medical Technology Beijing China Center for Biomedical Imaging Research Department of Biomedical Engineering School of Medicine Tsinghua University Beijing China

ISBN: (纸本)9783030728618

Early diagnosis and treatment of cerebral aneurysms are important for reducing the risk of aneurysm rupture. Fast and accurate detection of aneurysms on blood vessels is a key step in diagnosis of aneurysm. To date, a large number of deep learning algorithms, especially the UNet network, have been developed for detection of aneurysms. However, when the amount of data for training is small, it is difficult to obtain a reliable deep learning network to effectively identify aneurysms. In order to address this issue and improve the accuracy of aneurysm detection, here we proposed to combine the deep learning approach with specially designed preprocessing and postprocessing algorithm. We first determined the rough locations of the aneurysms based on the features on the vascular skeleton before aneurysms segmentation with deep learning network, i.e. 3d Attention UNet in this work, thus reducing the missed detection rate of the UNet network. We could obtain the shape and texture related to the aneurysm. Then we used the random forest algorithm to implement the feature classification model to find out the false aneurysms incorrectly detected by the U-Net network. The experimental results show that our method can accurately identify aneurysms in the case of small data sets. © 2021, Springer Nature Switzerland AG.

关键词： Blood vessels

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Identification of optimization areas of a transtibial prosthesis through the potentials of additive manufacturing processes 23

Identification of optimization areas of a transtibial prosth...

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23rd international conference on Engineering design, ICEd 2021

作者： Steffan, Kay-Eric Fett, Michel Kurth, daniel Kirchner, Eckhard Technische Universität Darmstadt

Additive manufacturing enables new possibilities for the design of end products. These are rooted in the potentials of the manufacturing technology, such as flexible, tool-free production. These potentials can be used for the economic and flexible production of customized products. To support the use of the potentials, a development method was created which identifies optimization areas within a product. Therefore, the complexity is reduced by using of product functions. Characteristic functions and structural configurations are used to identify optimization areas. This contribution describes the application of the new development method to an existing mechanical transtibial prosthesis. In doing so optimization areas are identified which may make use of the potentials provided by additive manufacturing. One area is the interface between the prosthesis and the ground. By analyzing walking environments and the gait cycle the need for walking assistance on deformable surfaces was identified. Significant improvements were achieved through a functional integrated, additive manufactured foot sleeve. © ICEd *** right reserved.

关键词： 3d printers

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Model-based design of AM components to enable decentralized digital manufacturing systems 23

Model-based design of AM components to enable decentralized ...

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23rd international conference on Engineering design, ICEd 2021

作者： Borgue, Olivia Stavridis, John Vannucci, Tomas Stavropoulos, Panagiotis Bikas, Harry di Falco, Rosa Nyborg, Lars Chalmers University of Technology Prima Industries SpA Politecnico di Torino RISE Research Institutes of Sweden University of Patras

Additive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy. © ICEd *** right reserved.

关键词： 3d printers

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Friction Riveting of 3d Printed Polyamide 6 with AA 6056-T6 23

Friction Riveting of 3D Printed Polyamide 6 with AA 6056-T6

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23rd international conference on Material Forming (ESAFORM)

作者： Mallmann, Paulo Henrique dos Santos Blaga, Lucian-Attila dos Santos, Jorge Fernandez Klusemann, Benjamin Helmholtz Zentrum Geesthacht Dept Solid State Joining Processes Inst Mat Res Geesthacht Germany Leuphana Univ Luneburg Inst Prod & Proc Innovat Luneburg Germany

Friction riveting (FricRiveting) is a technology for joining metallic and polymeric parts through frictional heat and pressure based on the principles of mechanical fastening and friction welding. Within this process, the joining occurs through the rotation of a metallic rivet, which is pressed onto a polymeric part while rotating at high speed, generating heat through the friction of the two materials, thus deforming and consequently anchoring the rivet inside the polymer. Compared to conventional joining techniques, FricRiveting has the advantages of fast joining cycles, no surface preparation or prior drilling required, and the joining can be produced single-sided. Without the presence of throughholes, the stress concentration is also minimized. This work aims to assess the feasibility and optimization of joining 3d printed Polyamide 6 (PA6) parts with AA6056-T6 rivets through FricRiveting. The feasibility is established by the occurrence of plastic deformation of the metallic rivet tip and thus formation o fan anchor. The joint local mechanical properties are investigated via micro-hardness maps. Process temperature history recorded through infrared thermography is subsequently correlated with the joint formation and mechanical performance. The joint tensile strength was determined through pullout tests, which provided the results for the process validation and optimization through BoxBehnken and Full Factorial design of Experiments, thus understanding the influence of FricRiveting parameters on the resulting properties of the joints. (C) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-Nd license (https/***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 23rd international conference on Material Forming.

关键词： hybrid polymer-metal joints friction riveting design of experiments joining by forming 3d printing

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development and Testing of Soft Magnetic Rotor for a Switched Reluctance Motor Built Through Additive Manufacturing technology 23

Development and Testing of Soft Magnetic Rotor for a Switche...

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23rd international conference on Electrical Machines and Systems (ICEMS)

作者： Gargalis, L. Madonna, V Giangrande, P. Rocca, R. Ashcroft, I Hague, R. Galea, M. Univ Nottingham Ctr Addit Mfg CfAM Nottingham England Univ Nottingham Power Elect Machines & Control PEMC Grp Nottingham England Univ Roma La Sapienza Dept Engn Rome Italy Univ Nottingham Ningbo Key Lab More Elect Aircraft Technol Zhejiang Prov Ningbo Peoples R China Key Lab More Elect Aircraft Technol Zhejiang Prov Ningbo 315100 Peoples R China

ISBN: (纸本)9784886864192

Additive manufacturing, commonly known as 3d printing, is an emerging technology that is gaining considerable research interest in recent years. In particular, metal printing methodologies might be successfully employed in developing lightweight and complex geometry components for electrical machines. In this paper, a soft magnetic material with a high content of silicon (i.e. approximate to 5%w.t.) has been characterized and its properties have been determined. The obtained material has been then used for 3d printing a salient, 8 pole rotor through selective laser melting. Finally, the manufactured rotor has been placed inside the laminated stator of a switched reluctance machine and its performance has been assessed through comprehensive experimental tests. The collected results confirmed the viability of additive manufacturing technology in the electrical machine field.

关键词： Additive Manufacturing 3d Printing SLM Electrification Electrical Machines Switched Reluctance

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Automatic Tagging of Food dishes and Its Applications in Social Media 23rd

Automatic Tagging of Food Dishes and Its Applications in Soc...

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23rd international conference on Human-Computer Interaction, HCII 2021

作者： Suryanarayanan, durga Shastri, dvijesh Amazon Web Services HoustonTX United States University of Houston-Downtown HoustonTX United States

ISBN: (纸本)9783030786342

Eating is a social activity, and more so in the age of social media. It is estimated that 69% of millennials take pictures of their food before eating;many of these pictures end up on social media. Automatic recognition of food dishes from these images can be valuable, as it can increase the usability of the social media applications by automatically tagging the food items, and at the same time increase awareness of individuals’ caloric intake. This paper presents a deep learning based approach for automatic recognition of food dishes. Specifically, we explored a set of convolutional neural network (CNN) architectures including the InceptionV3 and Xception architectures. Food-101 and Yummly datasets were used in the analysis. The results reveal that the Xception architecture works the best in classifying food dishes with a test accuracy of 79.66%. Broadly speaking, this highlights the role of the deep neural network technology for the newly emerging research field of Human-Food Interaction (HdI) which capitalizes the ubiquitous nature of technology to promote healthy eating. © 2021, Springer Nature Switzerland AG.

关键词： Social networking (online)

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Exploring Large Context for Cerebral Aneurysm Segmentation 1st

Exploring Large Context for Cerebral Aneurysm Segmentation

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1st Cerebral Aneurysm detection and Analysis challenge, CAdA 2020 held in Conjunction with 23rd international conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020

作者： Ma, Jun Nie, Ziwei Department of Mathematics Nanjing University of Science and Technology Nanjing China Department of Mathematics Nanjing University Nanjing China

ISBN: (纸本)9783030728618

Automated segmentation of aneurysms from 3d CT is important for the diagnosis, monitoring, and treatment planning of the cerebral aneurysm disease. This short paper briefly presents the main technique details of the aneurysm segmentation method in MICCAI 2020 CAdA challenge. The main contribution is that we configure the 3d U-Net with a large patch size, which can obtain the large context. Our method ranked second on the MICCAI 2020 CAdA testing dataset with an average Jaccard of 0.7593. Our code and trained models are publicly available at https://***/JunMa11/CAdA2020. © 2021, Springer Nature Switzerland AG.

关键词： diagnosis

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designing an Expert System for detecting Polymer Particles in SLS 3d Printing

Designing an Expert System for Detecting Polymer Particles i...

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Annual Siberian Russian Workshop on Electron devices and Materials (EdM)

作者： Rustam Farahov Rustam Burnashev Rostislav Grigoriev Ilnur Nasibullin Marina Bolsunovskaya Arslan Enikeev Institute of Computational Mathematics and Information Technologies Kazan Federal University Kazan Russia Institute of Computer Science and Technology Peter the Great St. Petersburg Polytechnic University St. Petersburg Russia

ISBN: (数字)9781665498043

ISBN: (纸本)9781665498050

This paper considers the task of creating a prototype of the expert system “Expert-Polymer”, designed to help a bioengineer identify particles of polystyrene-based polymers suitable for 3d printing by selective laser sintering (SLS). To implement the software product, an overview study of the properties of polystyrene particles used in 3d printing was performed. When designing the expert system, some properties of polystyrene-based polymer particles were determined, based on which the system derived recommendations on their suitability for 3d printing by the SLS method. The expert system was implemented using the Python programming language using the detectron2 library for segmenting polymer particles in an image, as well as the OpenCV computer vision library for image analysis, classification, and processing. As a result, a prototype of an expert system for the detection of polymer particles for 3d printing was developed with an analysis of the important properties of polymer particles that affect the quality of SLS 3d printing. This paper provides a full report on the development of an expert system for the detection and analysis of polymer particles.

关键词： Training Image segmentation Three-dimensional displays Prototypes Three-dimensional printing Libraries Software

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Support-free metal additive manufacturing: A structured review on the state of the art in academia and industry 23

Support-free metal additive manufacturing: A structured revi...

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23rd international conference on Engineering design, ICEd 2021

作者： weber, Sebastian Montero, Joaquin Bleckmann, Matthias Paetzold, Kristin University of the Bundeswehr Munich Bundeswehr Research Institute for Materials Fuels and Lubricants [WIWeB Germany

Especially in the Laser Powder Bed Fusion (L-PBF) technology for metals, current manufacturing systems require the use of support structure to withstand recoater forces and lower thermal induced stresses. These support structures set limitations on the design freedom and affect the surface quality, part cost and lead-time in an undesirable manner. Complex parts, which were not possible with conventional manufacturing methods, can be produced without these limitations. While some companies claim to print parts with horizontal overhangs without the use of support structure, academic research seems to deal with these limitations by defining design guidelines rather than eliminating them. In order to highlight the discrepancies between academia and industry, a structured review is presented. As result, severe differences in knowledge were discovered, which might emerge from the use of unconstrained cutting-edge systems in industry. Eventually support-free L-PBF is not yet fully developed, but the use of support structure can be drastically reduced by optimizing the build process. © ICEd *** right reserved.

关键词： 3d printers

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IN SITU SYNCHROTRON MICROTOMOGRAPHY REVEALS PLY THICKNESS ANd NANOREINFORCEMENT EFFECTS ON HYBRId COMPOSITE PROGRESSIVE dAMAGE 23

IN SITU SYNCHROTRON MICROTOMOGRAPHY REVEALS PLY THICKNESS AN...

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23rd international conference on Composite Materials, ICCM 2023

作者： Kopp, Reed Ni, Xinchen Furtado, Carolina Lee, Jeonyoon Kalfon-Cohen, Estelle Uesugi, Kentaro Kinsella, Mike Mavrogordato, Mark N. Sinclair, Ian Spearing, S. Mark Camanho, Pedro P. Wardle, Brian L. Dept. of Aeronautics and Astronautics Massachusetts Institute of Technology Cambridge United States ATA Engineering HerndonVA United States Dept. of Mechanical Engineering Massachusetts Institute of Technology Cambridge United States DEMec Faculdade de Engenharia Universidade do Porto Porto Portugal Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial Porto Portugal Japan Synchrotron Radiation Research Institute SPring-8 Hyogo Japan Teijin Carbon America Inc. Rockwood United States Faculty of Engineering and the Environment University of Southampton Southampton United Kingdom

The effects on 4d progressive damage in carbon (micro) fiber reinforced plastic/polymer (CFRP) composite laminates of ply thickness, nanostitch (interlaminar nanoreinforcement technique involving high-density forests of vertically aligned carbon nanotubes, forming a hybrid composite laminate), and their coupling are studied. Particularly, the 3d strengthening and toughening mechanisms of each laminate configuration are elucidated using in situ synchrotron radiation computed tomography (SRCT) of cross-ply (prone to delaminations) double edge-notched tension (dENT) configurations via semiautomatic damage segmentation. For enhanced reconstruction of features in 90° laminae that are usually blurred by being oriented parallel to the X-ray beam, a wedge fixture was developed to implement a 20° loading rig cant. At beamline 47XU (BL47XU) of the Super Photon ring-8 GeV (SPring-8) facility in Japan, SRCT experiments were conducted for four different laminate configurations, including baseline and nanostitched variants coupled with thin- and thick-ply (4× thicker ply vs. thin-ply) variants. The highest ultimate tensile strength (UTS) is achieved by the hybridized nanostitched thick-ply laminate (15% increase over thick-ply baseline, >20% increase over thin-ply laminates), which exhibits an effective combination of notch-blunting intralaminar matrix damage and greatly suppressed interlaminar matrix damage (4.3× less surface area at 90% UTS). Regarding ply thickness (baseline) effects, an 8% UTS increase is exhibited in thick-ply laminates over the thin-ply, explained mechanistically by the observed characteristic progressive damage states being dominated in thick-ply laminates by notch-blunting inter- and intra-laminar matrix damage (advantageous here) and in thin-ply laminates by fiber breakage and diffuse matrix damage (disadvantageous here). A 6% UTS decrease is also found for the nanostitched vs. baseline thin-ply laminates, emphasizing the need for such mechanistic studie

关键词： Carbon nanotubes

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