3d features are desired in nature for segmenting CT volumes. It is, however, computationally expensive to employ a 3d convolutional neural network (CNN) to learn 3d features. Existing methods hence learn 3d features b...
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We have developed a 3d electrode-based impedance spectroscopy platform that can provide more precise analysis of droplet contents, compared to conventionally used 2d electrode designs. The 3d electrode pair was create...
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Automatic blood vessel extraction from 3d medical images is crucial for vascular disease diagnoses. Existing methods based on convolutional neural networks (CNNs) may suffer from discontinuities of extracted vessels w...
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The proceedings contain 58 papers. The topics discussed include: a study on hydraulic simulation analysis of a 7 dOF dual arm machinery;development of lubrication failure detection system for turning spindle;neural ne...
ISBN:
(纸本)9781728139982
The proceedings contain 58 papers. The topics discussed include: a study on hydraulic simulation analysis of a 7 dOF dual arm machinery;development of lubrication failure detection system for turning spindle;neural network hyperparameter optimization for the assisted selection of assembly equipment;development of 3d cutting simulator using Vatti clipping;the facets of digital twins in production and the automotive industry;variable impedance control for a robotic leg with external uncertainties;proportional flow control valve for construction vehicle;and ionic polymer-metal composite electro-active nano-biopolymer actuator.
This paper addresses a fundamental challenge in 3d medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance gap between thin-slice (mostly 1mm) ...
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Nanodosimetry is a technique that measures the energy deposited by ionizing radiation under the principle of ion induced impact ionization in low pressure gas volume which correlates the number of ionization produced ...
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Nanodosimetry is a technique that measures the energy deposited by ionizing radiation under the principle of ion induced impact ionization in low pressure gas volume which correlates the number of ionization produced in nanometric scale of the dNA. In the modern field of nanodosimetry, the multilayer Printed Circuit Board (PCB) technology based3d positive ion detector plays a more prominent role in the field of radiation biology, radiation dosimetry, oncology, and also as gamma spectrometer and gas sensor. The present study is targeted to analyze the performance of the 3d positive ion detector as gas sensor under propane, methane, argon, nitrogen, and air medium at various pressures ranging from 0 to 10 Torr using Co-60 source. From this study, it is observed that the detector shows varying magnitude in its efficiency and amplitude under different media with a maximum efficiency of 12.286% and amplitude of 168 V under propone medium at 0.9 Torr. The detector also shows variation in its cluster size distribution and ion drift time under different media. Hence, it is concluded that the 3d positive ion detector can be considered as a gas sensor.
This paper reports a new method for testing combination anticancer therapy. We designed a hybrid, three-layers (PdMS-PdMS-glass) microsystem for culture of non-malignant and cancer cells in the form of a spatial cellu...
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High-throughput 3d imaging of cells is important for characterization of cells in a population. We report a high-speed3d cell imaging technique capable of imaging cells in flow. Adopting an imaging method called axia...
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In this paper, we present the pipeline of animated3dweb content creation, which is based on semantic composition of 3d content activities into more complex animations. The use of knowledge representation adapts the ...
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ISBN:
(纸本)9781450358002
In this paper, we present the pipeline of animated3dweb content creation, which is based on semantic composition of 3d content activities into more complex animations. The use of knowledge representation adapts the approach to the current trends in the webdevelopment and enables modeling of animations using different concepts, at arbitrary abstraction levels, which makes the approach intelligible to domain experts without technical skills. Within the pipeline, we use the OpenStage 2 motion capture system and the Unity game engine.
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