scholarly journals Performance Analysis of the FCBSH Algorithm for Large-Scale Heterogeneous Computing Environments

2009 ◽  
Vol 3 (4) ◽  
pp. 461-476
Author(s):  
Xiaoli Du ◽  
Changjun Jiang ◽  
Fei Yin
2012 ◽  
Vol 23 (2) ◽  
pp. 323-334
Author(s):  
Guo-Feng YAN ◽  
Jian-Xin WANG ◽  
Shu-Hong CHEN

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 632
Author(s):  
Xiaozheng Wang ◽  
Minglun Zhang ◽  
Hongyu Zhou ◽  
Xiaomin Ren

The performance of the underwater optical wireless communication (UOWC) system is highly affected by seawater´s inherent optical properties and the solar radiation from sunlight, especially for a shallow environment. The multipath effect and degradations in signal-to-noise ratio (SNR) due to absorption, scattering, and ambient noises can significantly limit the viable communication range, which poses key challenges to its large-scale commercial applications. To this end, this paper proposes a unified model for underwater channel characterization and system performance analysis in the presence of solar noises utilizing a photon tracing algorithm. Besides, we developed a generic simulation platform with configurable parameters and self-defined scenarios via MATLAB. Based on this platform, a comprehensive investigation of underwater channel impairments was conducted including temporal and spatial dispersion, illumination distribution pattern, and statistical attenuation with various oceanic types. The impact of ambient noise at different operation depths on the bit error rate (BER) performance of the shallow UOWC system was evaluated under typical specifications. Simulation results revealed that the multipath dispersion is tied closely to the multiple scattering phenomenon. The delay spread and ambient noise effect can be mitigated by considering a narrow field of view (FOV) and it also enables the system to exhibit optimal performance on combining with a wide aperture.


2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Shakuntala Baichoo ◽  
Yassine Souilmi ◽  
Sumir Panji ◽  
Gerrit Botha ◽  
Ayton Meintjes ◽  
...  

2017 ◽  
Vol 4 (6) ◽  
pp. 2172-2185 ◽  
Author(s):  
Xiyuan Liu ◽  
Zhengguo Sheng ◽  
Changchuan Yin ◽  
Falah Ali ◽  
Daniel Roggen

Author(s):  
Meisha Rosenberg ◽  
Judy M. Vance

Successful collaborative design requires in-depth communication between experts from different disciplines. Many design decisions are made based on a shared mental model and understanding of key features and functions before the first prototype is built. Large-Scale Immersive Computing Environments (LSICEs) provide the opportunity for teams of experts to view and interact with 3D CAD models using natural human motions to explore potential design configurations. This paper presents the results of a class exercise where student design teams used an LSICE to examine their design ideas and make decisions during the design process. The goal of this research is to gain an understanding of (1) whether the decisions made by the students are improved by full-scale visualizations of their designs in LSICEs, (2) how the use of LSICEs affect the communication of students with collaborators and clients, and (3) how the interaction methods provided in LSICEs affect the design process. The results of this research indicate that the use of LSICEs improves communication among design team members.


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