Development of 3D video and 3D data services for T-DMB

2008 ◽  
Author(s):  
Kugjin Yun ◽  
Hyun Lee ◽  
Namho Hur ◽  
Jinwoong Kim
Keyword(s):  
3D Video ◽  
Data Services ◽  
3D Data

scholarly journals Geological data handling using Oracle 3D : a study on data services and management

2021 ◽  
Author(s):  
Nedim Oren
Keyword(s):  
Work Environment ◽  
Large Scale ◽  
Collaborative Work ◽  
3D Models ◽  
3D Geological Modeling ◽  
Data Services ◽  
Collaborative Modeling ◽  
Efficient Management ◽  
Modeling Environment ◽  
3D Data

Efficient management of 3D geological and subsurface models require a robust 3D data modeling environment which can provide the necessary functions and flexibility to enable accessing 3D models in a collaborative work environment through the Internet. This allows geoscientists and geo-engineers to work collaboratively for better, informed decisions. Today, there is no data standard that satisfies the entire 3D geological modelling requirement in a collaborative work environment. This thesis presents the result of a research project that focuses on identifying modelling and analytical requirements of geological models and the usability of existing technologies for both database management and applications that allow sharing 3D models in a collaborative modeling environment. Specifically, it examines current 3D data models and how they can fit into the requirements of the 3D geological modeling. Based on identified system requirements, an integrated solution prototype has been implemented that allows large-scale 3D data management and provides real-time Internet access to the underlying 3D models.

scholarly journals Geological data handling using Oracle 3D : a study on data services and management

2021 ◽  
Author(s):  
Nedim Oren
Keyword(s):  
Work Environment ◽  
Large Scale ◽  
Collaborative Work ◽  
3D Models ◽  
3D Geological Modeling ◽  
Data Services ◽  
Collaborative Modeling ◽  
Efficient Management ◽  
Modeling Environment ◽  
3D Data

Efficient management of 3D geological and subsurface models require a robust 3D data modeling environment which can provide the necessary functions and flexibility to enable accessing 3D models in a collaborative work environment through the Internet. This allows geoscientists and geo-engineers to work collaboratively for better, informed decisions. Today, there is no data standard that satisfies the entire 3D geological modelling requirement in a collaborative work environment. This thesis presents the result of a research project that focuses on identifying modelling and analytical requirements of geological models and the usability of existing technologies for both database management and applications that allow sharing 3D models in a collaborative modeling environment. Specifically, it examines current 3D data models and how they can fit into the requirements of the 3D geological modeling. Based on identified system requirements, an integrated solution prototype has been implemented that allows large-scale 3D data management and provides real-time Internet access to the underlying 3D models.

Direct phase determination in electron crystallography: small organic molecules

1992 ◽  
Vol 50 (2) ◽  
pp. 1166-1167
Author(s):  
Douglas L. Dorset
Keyword(s):  
Organic Molecules ◽  
Data Sets ◽  
Temperature Structure ◽  
3D Analysis ◽  
Intensity Data ◽  
Electron Crystallography ◽  
Phase Determination ◽  
Measured Intensity ◽  
3D Data

The quantitative use of electron diffraction intensity data for the determination of crystal structures represents the pioneering achievement in the electron crystallography of organic molecules, an effort largely begun by B. K. Vainshtein and his co-workers. However, despite numerous representative structure analyses yielding results consistent with X-ray determination, this entire effort was viewed with considerable mistrust by many crystallographers. This was no doubt due to the rather high crystallographic R-factors reported for some structures and, more importantly, the failure to convince many skeptics that the measured intensity data were adequate for ab initio structure determinations.We have recently demonstrated the utility of these data sets for structure analyses by direct phase determination based on the probabilistic estimate of three- and four-phase structure invariant sums. Examples include the structure of diketopiperazine using Vainshtein's 3D data, a similar 3D analysis of the room temperature structure of thiourea, and a zonal determination of the urea structure, the latter also based on data collected by the Moscow group.

Time consumption and quality of an automated fusion tool for SPECT and MRI images of the brain

2003 ◽  
Vol 42 (05) ◽  
pp. 215-219
Author(s):  
G. Platsch ◽  
A. Schwarz ◽  
K. Schmiedehausen ◽  
B. Tomandl ◽  
W. Huk ◽  
...  
Keyword(s):  
Data Sets ◽  
3D Mri ◽  
Clinical Routine ◽  
Fusion Procedure ◽  
3D Data ◽  
Mri Scans ◽  
2D Data ◽  
Time Required ◽  
The Brain ◽  
Manual Correction

Summary: Aim: Although the fusion of images from different modalities may improve diagnostic accuracy, it is rarely used in clinical routine work due to logistic problems. Therefore we evaluated performance and time needed for fusing MRI and SPECT images using a semiautomated dedicated software. Patients, material and Method: In 32 patients regional cerebral blood flow was measured using 99mTc ethylcystein dimer (ECD) and the three-headed SPECT camera MultiSPECT 3. MRI scans of the brain were performed using either a 0,2 T Open or a 1,5 T Sonata. Twelve of the MRI data sets were acquired using a 3D-T1w MPRAGE sequence, 20 with a 2D acquisition technique and different echo sequences. Image fusion was performed on a Syngo workstation using an entropy minimizing algorithm by an experienced user of the software. The fusion results were classified. We measured the time needed for the automated fusion procedure and in case of need that for manual realignment after automated, but insufficient fusion. Results: The mean time of the automated fusion procedure was 123 s. It was for the 2D significantly shorter than for the 3D MRI datasets. For four of the 2D data sets and two of the 3D data sets an optimal fit was reached using the automated approach. The remaining 26 data sets required manual correction. The sum of the time required for automated fusion and that needed for manual correction averaged 320 s (50-886 s). Conclusion: The fusion of 3D MRI data sets lasted significantly longer than that of the 2D MRI data. The automated fusion tool delivered in 20% an optimal fit, in 80% manual correction was necessary. Nevertheless, each of the 32 SPECT data sets could be merged in less than 15 min with the corresponding MRI data, which seems acceptable for clinical routine use.

Agile Development with 3D Data Modeling

2015 ◽  
Vol 10 (6) ◽  
pp. 558 ◽  
Author(s):  
Kristian Sestak ◽  
Zdenek Havlice
Keyword(s):  
Data Modeling ◽  
Agile Development ◽  
3D Data

Residential data services via hybrid fiber-coax local access networks

1996 ◽  
Vol 1 (1) ◽  
pp. 88-99
Author(s):  
Stephen A. Grzelak ◽  
Harrison Miles ◽  
Edward S. Szurkowski ◽  
William P. Weber
Keyword(s):  
Access Networks ◽  
Hybrid Fiber ◽  
Data Services ◽  
Local Access ◽  
Local Access Networks
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