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Clinical Application of Three-Dimensional Printing Technology in Craniofacial Plastic Surgery

Jong Woo Choi, Namkug Kim
2015 Archives of Plastic Surgery  
using 3D printing tactile prototype models.  ...  Rapid prototype technology was introduced in the 1990s to medicine via computer-aided design, computer-aided manufacturing.  ...  Rapid prototype technology was introduced in the 1990s to medicine via computer-aided design, computer-aided manufacturing.  ... 
doi:10.5999/aps.2015.42.3.267 pmid:26015880 pmcid:PMC4439584 fatcat:ecva3lpylna4xpyh4grk6sjzyu

Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning [article]

Andreas Leitherer, Angelo Ziletti, Luca M. Ghiringhelli
2021 arXiv   pre-print
As a major step forward, ARISE is robust to structural noise and can treat more than 100 crystal structures, a number that can be extended on demand.  ...  Here, we introduce ARISE, a crystal-structure identification method based on Bayesian deep learning.  ...  probabilities of expected prototypes and mutual information for a slice through the center of the structure. j 3D-resolved detection of the precipitate via the L1 2 classification probability for the  ... 
arXiv:2103.09777v4 fatcat:5hteiqngejep5glmv47gd7gbs4

Modular Self-Reconfigurable Robotic Systems: A Survey on Hardware Architectures

S. Sankhar Reddy Chennareddy, Anita Agrawal, Anupama Karuppiah
2017 Journal of Robotics  
This paper attempts to simplify the comparison of various hardware prototypes by providing a brief study on hardware architectures of modular robots capable of self-healing and reconfiguration along with  ...  The researchers in robotics domain identified various applications and prototyped numerous robotic models while addressing constraints such as homogeneity, reconfigurability, form factor, and power consumption  ...  [2, 3] suggested two classifications of modular robotic systems: classification based on structures formed by MSRR and classification based on reconfiguration strategies.  ... 
doi:10.1155/2017/5013532 fatcat:kkl3ldvhdjhl7gn4ssfz4mf4va

Review, Analysis, and Classification of 3D Printing Literature: Types of Research and Technology Benefits

Guilherme Ruggeri Pereira, Fernando Gasi, Sérgio Ricardo Lourenço
2019 International Journal of Advanced Engineering Research and Science  
This paper presents a review, analysis and classification about 3D printing.  ...  And finally, the number of citations related to the benefits of 3D printing are greater than the number of citations on the negative points of the process.  ...  Shrinkage compensation of holes via shrinkage of interior structure in FDM process.  ... 
doi:10.22161/ijaers.6.6.18 fatcat:aj2wfw46pndddexscenxyjevgy

Implementation of multiple-instance learning in drug activity prediction

Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y Patel, Pankaj R Daga, Yixin Chen, Dawn E Wilkins, Robert J Doerksen
2012 BMC Bioinformatics  
The implementation requires instance-based embedding, and joint feature selection and classification.  ...  To validate the ability of the proposed approach to find bioactive conformers, 12 small molecules with co-crystallized structures were seeded in one data set. 10 out of 12 co-crystallized structures were  ...  Identified conformers can be used in various drug discovery approaches such as scaffold hopping, target fishing, and 3D structural alignment for 3D quantitative structure-activity relationship (QSAR) studies  ... 
doi:10.1186/1471-2105-13-s15-s3 pmid:23046442 pmcid:PMC3439725 fatcat:6ktstgpa2ngo7ajezju5rj4jqi

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms

Ran Li, Liangyong Yu, Bo Zhou, Xiangrui Zeng, Zhenyu Wang, Xiaoyan Yang, Jing Zhang, Xin Gao, Rui Jiang, Min Xu, Turkan Haliloglu
2020 PLoS Computational Biology  
Subtomogram structural classification is an essential step for such task.  ...  With our approach, classification of unseen structures in the training data can be conducted given few labeled samples in test data through instance embedding.  ...  Firstly, each support sample is mapped into a task-agnostic embedding space through a 3D encoder and the prototype of each class is calculated.  ... 
doi:10.1371/journal.pcbi.1008227 pmid:33175839 fatcat:4zwm6iz7ijhr5ajtmj3bhf42zu

CryoDiscoveryTM: A Machine Learning Platform for Automated Cryo-electron Microscopy Particle Classification

Narasimha Kumar, John Harkness, Craig Yoshioka, Shiva Aditham, Tuan Phamdo, Kennedy Brown
2020 Microscopy and Microanalysis  
Images generated by cryo-EM are visually noisy, and each project can produce more than 100,000 images and take weeks to arrive at one viewable 3D structure.  ...  Cryogenic electron microscopy (Cryo-EM) produces high-resolution 3D images at angstrom levels used by researchers across a broad range of fields including structural biology, life Science, materials science  ...  These image processing steps (2D classification, 3D Init model and classification, & 3D Refinement) took only hours to complete with our system.  ... 
doi:10.1017/s1431927620021145 fatcat:anr7nomcizgdtd7blh2plyktqq

CryoDiscovery: a machine-learning platform for automated cryogenic electron microscopy class average selection

Narassimha Kumar, Gershon Wolfe
2020 Acta Crystallographica Section A: Foundations and Advances  
These image processing steps (2D classification, 3D Init model and classification, & 3D Refinement) took only hours to complete with our system.  ...  Images generated by cryo-EM are visually noisy, and each project can produce more than 100,000 images and take weeks to arrive at one viewable 3D structure.  ... 
doi:10.1107/s010876732009892x fatcat:gorfwf2dbvd23jzhebinymtqxy

Rapid Prototyping Applications In Various Field Of Engineering And Technology

R. Kumaravelan, V. C. Sathish Gandhi, S. Ramesh, M. Venkatesan
2014 Zenodo  
In the product design and development process, the prototyping or model making is one of the important step to finalize a product which helps in conceptualization of a design.  ...  Rapid Prototyping (RP) is layer-by-layer material deposition started during early 1980s with the enormous growth in Computer Aided Design and Manufacturing (CAD/CAM) technologies.  ...  They also suggest that the inkjet printing technique could be extrapolated to building 3D structures in a layer-by-layer fashion.  ... 
doi:10.5281/zenodo.1091539 fatcat:r4nwlacfxrfivpvgdtrwmanos4

3D Printing Manufacturing Techniques, Materials, and Applications: An Overview

D. Srinivasan, M. Meignanamoorthy, M. Ravichandran, V. Mohanavel, S. V. Alagarsamy, C. Chanakyan, S. Sakthivelu, Alagar Karthick, T. Ram Prabhu, S. Rajkumar, Carlos R. Rambo
2021 Advances in Materials Science and Engineering  
3D printing, also called additive manufacturing (AM), is a method of creating 3D solid parts from a digital document. By utilizing additive routes, the fabrication of 3D-printed objects can be made.  ...  or plastic for the occurrence of a milling machine. 3D printing authorizes creating multifarious profiles employing fewer materials than conventional fabrication systems.  ...  Nonmetal 3D printing processes such as stereolithography and fused deposition modeling are utilized for the fast prototyping of components and producing installations and insides prepared via plastics,  ... 
doi:10.1155/2021/5756563 fatcat:yrmcrspt6vdyhhmliwv2hcqrmu

Representation of Similarity in Three-Dimensional Object Discrimination

Shimon Edelman
1995 Neural Computation  
Thus, the 2D configuration recovered from the prototype Similarity in 3D Object Discrimination 419 model data can support classification rate approaching that of the human subjects. 3.2.3 A Comparison  ...  Pattern Classification and Scene Analysis. Wiley, New York. Edelman, S. 1992. Class similarity and viewpoint invariance in the recognition of 3D objects. CS-TR 92-17, Weizmann Institute of Science.  ... 
doi:10.1162/neco.1995.7.2.408 pmid:8974734 fatcat:igqugxapardlfifqw6tfo3x5xq

Additive Manufacturing Technologies: An Overview about 3D Printing Methods and Future Prospects

Mariano Jiménez, Luis Romero, Iris A. Domínguez, María del Mar Espinosa, Manuel Domínguez
2019 Complexity  
This paper will expand upon the structural design of the machines, their history, classification, the alternatives existing today, materials used and their characteristics, the technology limitations,  ...  support to the Escuela Técnica Superior de Ingenieros Industriales of UNED, in the frame of the proyects ICF06-2018 and ICF08-2018, and to the Instituto Universitario de Educación a Distancia of the UNED, via  ...  , that is, when 3D printing systems are used to measure out food and structure patients' diets.  ... 
doi:10.1155/2019/9656938 fatcat:kuaehfkqqzhodcj3rkltmxoxju

A hybrid method to trace technology evolution pathways: a case study of 3D printing

Ying Huang, Donghua Zhu, Yue Qian, Yi Zhang, Alan L. Porter, Yuqin Liu, Ying Guo
2017 Scientometrics  
We illustrate this hybrid approach with 3D printing, referring to various technologies and processes used to synthesize a three-dimensional object.  ...  In this paper, we apply co-classification analysis to reveal the technical evolution process of a certain technical field, using co-word analysis to extract implicit or unknown patterns and topics, and  ...  The CPC system is based on the IPC structure, considering also three classifications: The European Classification System (ECLA), the In Computer Only (ICO) code, and the U.S.  ... 
doi:10.1007/s11192-017-2271-8 fatcat:k67mz627f5bqhj5nl5zq2ej5au

BIM-Based Life Cycle Assessment of Buildings—An Investigation of Industry Practice and Needs

Regitze Kjær Zimmermann, Simone Bruhn, Harpa Birgisdóttir
2021 Sustainability  
This study investigates the industry practice and needs for BIM–LCA, and if these are met through a prototype for the Danish context, using IFC and a 3D view.  ...  The 3D view of the prototype met some of the needs, however, there were mixed responses on the use of IFC, due to different workflow needs in the companies.  ...  Revit, Power-BI, and matching via classification codes. These are still under development, and have not been included in Figure 6 .  ... 
doi:10.3390/su13105455 fatcat:i7c24u64sjf3dohzgopi67fhqu

Adaptive color classification for structured light systems

Philipp Fechteler, Peter Eisert
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
The proposed 3D face scanner utilizes structured light techniques: A colored pattern is projected into the face of interest while a photo is taken.  ...  For this purpose the color classification of the proposed system is made adaptive to the characteristics of the captured image to compensate for such distortions.  ...  The classification of data point p i (a stripes' color) is then performed by calculating the distances d(p i , g c ) of that point p i to all the prototype lines g c , and assigning the color of the prototype  ... 
doi:10.1109/cvprw.2008.4563048 dblp:conf/cvpr/FechtelerE08 fatcat:hma7bgjdlbdi5ln4bzmgeptsga
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