An easy-to-use 3D visualization system for planning context-aware applications in smart buildings

2014 ◽  
Vol 36 (2) ◽  
pp. 312-326 ◽  
Author(s):  
Jun-Ming Su ◽  
Chih-Fang Huang
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Fujiwara ◽  
N Takeda ◽  
M Hatano ◽  
S Nishimura ◽  
I Komuro

Abstract Background Pulmonary hypertension (PH) is characterized by increased pulmonary vascular resistance and right heart failure with progressive narrowing or occlusion of the pulmonary artery. However, the assessment of vascular remodeling is mostly limited to averaged increases in wall thickening, and even the role of vascular endothelial growth factor (VEGF), remains incompletely understood; Although abundantly expressed VEGF is expected to elicit angio-obliteration and the knockout of hypoxia inducible factor (HIF) prevents PH in mice, VEGF inhibitor Sugen exacerbates hypoxia (Hx)-induced PH model, which is referred to as VEGF paradox. Purpose To analyze three-dimensional (3D) spatiotemporal changes of pulmonary microstructure and function, which reflect the disease activity and lead to resolve the paradox. Methods and results We developed a novel 3D visualization system of microstructural networks in whole mouse organ with single-cell resolution, using combined tissue clearing technique called CUBIC and multiphoton excitation microscope. The system enabled the simultaneous 3D evaluation of microvascular structure, invaded macrophages and fibrosis with effective penetration of several mm (whole organ). Three-dimensional observations of PH mice models including Hx, Sugen/Hx, and human-like Alk1+/− hereditary PH models, revealed that not only inward (negative) microvessel remodeling with stenosis, but also marked elongation of microvascular ECs, was evident except Sugen/Hx model at the early phase, which had not been detected by 2D histological sections. Comparable transcriptome analysis revealed that PGC1α, which regulates HIF-independent VEGF expression and angiogenesis, plays an important role in the characteristic response for mitochondrial and microvascular maintenance. PGC1α was up-regulated in the early phage in Hx and Alk1+/− PH models with microvascular angiogenetic change, whereas Sugen/Hx-model did not increase PGC1α expression and did not show microvascular remodeling. Furthermore pulmonary ECs-specific PGC1α-deficient mice exacerbated Hx-PH model with decreased VEGF expression and microvessel density, and administration of Baicalin, a flavonoid enhancing PGC1α expression, ameliorated Hx-PH model with increased VEGF expression. Conclusions The 3D visualization system disclosed an unexpected change of angiogenic microvascular structure in the early phage of PH, which is regulated by EC PGC1α. Microvascular angiogenesis which is induced by up-regulation in PGC1α -VEGF pathway is a crucial factor for compensation of PH in the early phase, which provides a potential novel therapeutic target for PH. Figure 1 Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): JSJP


2006 ◽  
Vol 26 (1) ◽  
pp. 18-25 ◽  
Author(s):  
K. Zhang ◽  
S.-C. Chen ◽  
P. Singh ◽  
K. Saleem ◽  
N. Zhao

2005 ◽  
Vol 277-279 ◽  
pp. 259-265
Author(s):  
Jin Ah Park ◽  
Chang Su Lee ◽  
Jong C. Park

An abundant amount of information is produced in the digital domain, and an effective information extraction (IE) system is required to surf through this sea of information. In this paper, we show that an interactive visualization system works effectively to complement an IE system. In particular, three-dimensional (3D) visualization can turn a data-centric system into a user-centric one by facilitating the human visual system as a powerful pattern recognizer to become a part of the IE cycle. Because information as data is multidimensional in nature, 2D visualization has been the preferred mode. However, we argue that the extra dimension available for us in a 3D mode provides a valuable space where we can pack an orthogonal aspect of the available information. As for candidates of this orthogonal information, we have considered the following two aspects: 1) abstraction of the unstructured source data, and 2) the history line of the discovery process. We have applied our proposal to text data mining in bioinformatics. Through case studies of data mining for molecular interaction in the yeast and mitogen-activated protein kinase pathways, we demonstrate the possibility of interpreting the extracted results with a 3D visualization system.


2014 ◽  
Vol 519-520 ◽  
pp. 1455-1460
Author(s):  
Li Hong Xu ◽  
Lu Lin Yang ◽  
Rui Hua Wei

This visualization system aimed at collecting and storing environmental data and crops growing data so as to establish the relationship between environmental data and crop growth data.In order to solve the problem of big data storage,this paper put forward a new system architecture “Data collect+Cloud+Android”,which took advantage of cloud platform to store greenhouse environmental data and crops growth 3D data.Greenhouse environmental data was automatically uploaded to cloud platform and Android smart phone exchanged data with cloud platform.The greenhouse visualization system included:3D visualization of parameters in greenhouse,3D crop model,traceability system and video in greenhouse.During the test,the system runs smoothly and no data packet loss.


2000 ◽  
Vol 294-296 ◽  
pp. 542-547 ◽  
Author(s):  
Hiroshi Nakano ◽  
Yoshitaka Sato ◽  
Susumu Matsuo ◽  
Tsutomu Ishimasa

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