2D and 3D representations of the noise in a PCB using analytical methods

We introduce a View-Volume convolutional neural network (VVNet) for inferring the occupancy and semantic labels of a volumetric 3D scene from a single depth image. Our method extracts the detailed geometric features from the input depth image with a 2D view CNN and then projects the features into a 3D volume according to the input depth map via a projection layer. After that, we learn the 3D context information of the scene with a 3D volume CNN for computing the result volumetric occupancy and semantic labels. With combined 2D and 3D representations, the VVNet efficiently reduces the computational cost, enables feature extraction from multi-channel high resolution inputs, and thus significantly improve the result accuracy. We validate our method and demonstrate its efficiency and effectiveness on both synthetic SUNCG and real NYU dataset.

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Polytope Sector-Based Synthesis and Analysis of Microstructural Architectures With Tunable Thermal Conductivity and Expansion

Journal of Mechanical Design ◽

10.1115/1.4032809 ◽

2016 ◽

Vol 138 (5) ◽

Cited By ~ 13

Author(s):

Jonathan B. Hopkins ◽

Yuanping Song ◽

Howon Lee ◽

Nicholas X. Fang ◽

Christopher M. Spadaccini

Keyword(s):

Thermal Conductivity ◽

Thermal Expansion ◽

Material Property ◽

Analytical Methods ◽

Positive Zero ◽

Bulk Property ◽

Element Analysis ◽

Thermal Expansion Coefficients ◽

Projection Microstereolithography ◽

2D And 3D

The aim of this paper is to (1) introduce an approach, called polytope sector-based synthesis (PSS), for synthesizing 2D or 3D microstructural architectures that exhibit a desired bulk-property directionality (e.g., isotropic, cubic, orthotropic, etc.), and (2) provide general analytical methods that can be used to rapidly optimize the geometric parameters of these architectures such that they achieve a desired combination of bulk thermal conductivity and thermal expansion properties. Although the methods introduced can be applied to general beam-based microstructural architectures, we demonstrate their utility in the context of an architecture that can be tuned to achieve a large range of extreme thermal expansion coefficients—positive, zero, and negative. The material-property-combination region that can be achieved by this architecture is determined within an Ashby-material-property plot of thermal expansion versus thermal conductivity using the analytical methods introduced. These methods are verified using finite-element analysis (FEA) and both 2D and 3D versions of the design have been fabricated using projection microstereolithography.

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2D and 3D Representations of Solution Spaces for CO Problems

Computational Science - ICCS 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24687-9_61 ◽

2004 ◽

pp. 483-490 ◽

Cited By ~ 1

Author(s):

Eugeniusz Nowicki ◽

Czesław Smutnicki

Keyword(s):

2D And 3D ◽

3D Representations

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Learning from graphically integrated 2D and 3D representations improves retention of neuroanatomy.

10.18297/etd/1034 ◽

2012 ◽

Author(s):

Farah Naaz

Keyword(s):

2D And 3D ◽

3D Representations

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Polytope Sector-Based Synthesis and Analysis of Microarchitectured Materials With Tunable Thermal Conductivity and Expansion

Volume 2B: 41st Design Automation Conference ◽

10.1115/detc2015-46645 ◽

2015 ◽

Author(s):

Jonathan B. Hopkins ◽

Howon Lee ◽

Nicholas X. Fang ◽

Christopher M. Spadaccini

Keyword(s):

Thermal Conductivity ◽

Thermal Expansion ◽

Material Property ◽

Analytical Methods ◽

Positive Zero ◽

Bulk Property ◽

Thermal Expansion Coefficients ◽

Expansion Coefficients ◽

Projection Microstereolithography ◽

2D And 3D

The aim of this paper is to (1) introduce an approach, called Polytope Sector-based Synthesis, for synthesizing 2D or 3D microstructural architectures that exhibit a desired bulk-property directionality (e.g., isotropic, cubic, orthotropic, etc.), and (2) provide general analytical methods that can be used to rapidly optimize the geometric parameters of these architectures such that they achieve a desired combination of bulk thermal conductivity and thermal expansion properties. Although the methods introduced can be applied to general beam-based microstructural architectures, we demonstrate their utility in the context of an architecture that can be tuned to achieve a large range of extreme thermal expansion coefficients — positive, zero, and negative. The material-property-combination region that can be achieved by this architecture is determined within an Ashby-material-property plot of thermal expansion vs. thermal conductivity using the analytical methods introduced. Both 2D and 3D versions of the design have been fabricated using projection microstereolithography.

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3D Exploration of the Brainstem in 50-micron Resolution MRI

10.1101/768002 ◽

2019 ◽

Author(s):

N Makris ◽

RJ Rushmore ◽

P Wilson-Braun ◽

G Papadimitriou ◽

I Ng ◽

...

Keyword(s):

High Resolution ◽

Cranial Nerve ◽

Emotional Processing ◽

Neural Systems ◽

Clinical Neuroscience ◽

Vital Importance ◽

Nuclear Masses ◽

3D Exploration ◽

2D And 3D ◽

3D Representations

AbstractThe brainstem, a structure of vital importance in the mammals, is currently becoming a principal focus in cognitive, affective and clinical neuroscience. Midbrain, pontine and medullar structures are the epicenter of conduit, cranial nerve and such integrative functions as consciousness, emotional processing, pain and motivation. In this study, we parcellated the nuclear masses and the principal fiber pathways that were visible in a high resolution T2-weighted MRI dataset of 50-micron isotropic voxels of a postmortem human brainstem. Based on this analysis, we generated a detailed map of the human brainstem. To assess the validity of our maps, we compared our observations with histological maps of traditional human brainstem atlases. Moreover, we reconstructed the motor, sensory and integrative neural systems of the brainstem and rendered them in 3D representations. We anticipate the utilization of these maps by the neuroimaging community at large for applications in basic neuroscience as well as in neurology, psychiatry and neurosurgery, due to their versatile computational nature in 2D and 3D representations in a publicly available capacity.

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