In situ evaluation of surround sound system performance

2013 ◽  
Vol 134 (5) ◽  
pp. 4185-4185
Author(s):  
Eric M. Benjamin ◽  
Aaron J. Heller ◽  
Fernando Lopez-Lezcano
Author(s):  
Eva Ródenas-Torralba ◽  
Fábio R. P. Rocha ◽  
Boaventura F. Reis ◽  
Ángel Morales-Rubio ◽  
Miguel de la Guardia

A portable flow analysis instrument is described for in situ photometric measurements. This system is based on light-emitting diodes (LEDs) and a photodiode detector, coupled to a multipumping flow system. The whole equipment presents dimensions of25 cm×22 cm×10 cm, weighs circa 3 kg, and costs 650 €. System performance was evaluated for different chemistries without changing hardware configuration for determinations of (i)Fe3+withSCN-, (ii) iodometric nitrite determination, (iii) phenol with sodium nitroprusside, and (iv) 1-naphthol-N-methylcarbamate (carbaryl) withp-aminophenol. The detection limits were estimated as 22, 60, 25, and 60 ngmL-1for iron, nitrite, phenol, and carbaryl at the 99.7% confidence level with RSD of 2.3, 1.0, 1.8, and 0.8%, respectively. Reagent and waste volumes were lower than those obtained by flow systems with continuous reagent addition. Sampling rates of 100, 110, 65, and 72 determinations per hour were achieved for iron, nitrite, phenol, and carbaryl determinations


2010 ◽  
Vol 35 (2) ◽  
pp. 145-156 ◽  
Author(s):  
António Carvalho ◽  
Pedro Silva

Abstract This paper presents the interior acoustical characterization of the 9,000-seat church of the Holy Trinity in the Sanctuary of Fátima, Portugal, inaugurated in 2007. In situ measurements were held regarding interior sound pressure levels (with and without the HVAC equipment working), NC curves, RASTI (with and without the installed sound system) and reverberation time. The results are presented and commented according to the design values. A comparison is made with other churches in the world, also with a very large volume (for instance the Basilica Mariacka in Gdańsk). The measured data are also used to calculate a global index of this church acoustic quality using Engel's and Kosała's Index Method.


2015 ◽  
Vol 486 (1-2) ◽  
pp. 38-51 ◽  
Author(s):  
M.P. Do ◽  
C. Neut ◽  
H. Metz ◽  
E. Delcourt ◽  
K. Mäder ◽  
...  

2019 ◽  
Author(s):  
Ali Al-Dossary ◽  
Heather Dillon ◽  
Jordan Farina

Abstract Variable Transmission Glazing (VTG) windows are an energy efficiency measures that have relatively high first cost. This paper describes the in-situ performance of VTG installed in an atrium space at the University of Portland. An experiment was conducted using thermocouples and photosensors to examine temperature gradients and solar gains across electrochromic glazing windows to quantify the performance of the installed system in terms of energy and cost saving. The system performance was measured with an average efficiency of 98.73% when the VTG was operating. The annual savings of the glazing system installed was estimated to be $7,683.


Author(s):  
Guillaume Aupy ◽  
Brice Goglin ◽  
Valentin Honoré ◽  
Bruno Raffin

With the goal of performing exascale computing, the importance of input/output (I/O) management becomes more and more critical to maintain system performance. While the computing capacities of machines are getting higher, the I/O capabilities of systems do not increase as fast. We are able to generate more data but unable to manage them efficiently due to variability of I/O performance. Limiting the requests to the parallel file system (PFS) becomes necessary. To address this issue, new strategies are being developed such as online in situ analysis. The idea is to overcome the limitations of basic postmortem data analysis where the data have to be stored on PFS first and processed later. There are several software solutions that allow users to specifically dedicate nodes for analysis of data and distribute the computation tasks over different sets of nodes. Thus far, they rely on a manual resource partitioning and allocation by the user of tasks (simulations, analysis). In this work, we propose a memory-constraint modelization for in situ analysis. We use this model to provide different scheduling policies to determine both the number of resources that should be dedicated to analysis functions and that schedule efficiently these functions. We evaluate them and show the importance of considering memory constraints in the model. Finally, we discuss the different challenges that have to be addressed to build automatic tools for in situ analytics.


2003 ◽  
Vol 98 (1-3) ◽  
pp. 127-144 ◽  
Author(s):  
Jennifer S. Berkey ◽  
Thomas E. Lachmar ◽  
William J. Doucette ◽  
R. Ryan Dupont

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