Investigation of Moisture in Coal Using Electrical Capacitance Volume Tomography

2014 ◽  
Vol 896 ◽  
pp. 701-705
Author(s):  
Iriwn Maulana ◽  
Didied Haryono ◽  
Warsito P. Taruno ◽  
Mahfudz Al Huda ◽  
Marlin Baidillah ◽  
...  

A preliminary study about the development of Electrical Capacitance Volume Tomography (ECVT) for determining moisture, calorie and the flow of coal mass real-time on the conveyor has been done. This study aims to examine the capability and sensitivity of ECVT as a capacitance measurement system to investigate the correlation between moisture in coal and its dielectric property. The ECVT system comprises of a 2-channel rectangular sensor, data acquisition system and a computer system to control the measurement, process data and display the data of normalized capacitance of coal as the result. The linear correlation between moisture in coal and data of coal relative capacitance is obtained and presented in this paper. The results have shown that ECVT has good capability and sensitivity as a system to monitor the dielectric property and behavior of coal which are affected by the moisture content

2017 ◽  
Author(s):  
Didied Haryono ◽  
Sri Harjanto ◽  
Harisma Nugraha ◽  
Mahfudz Al Huda ◽  
Warsito Purwo Taruno

2015 ◽  
Vol 11 (1) ◽  
pp. 2897-2908
Author(s):  
Mohammed S.Aljohani

Tomography is a non-invasive, non-intrusive imaging technique allowing the visualization of phase dynamics in industrial and biological processes. This article reviews progress in Electrical Capacitance Volume Tomography (ECVT). ECVT is a direct 3D visualizing technique, unlike three-dimensional imaging, which is based on stacking 2D images to obtain an interpolated 3D image. ECVT has recently matured for real time, non-invasive 3-D monitoring of processes involving materials with strong contrast in dielectric permittivity. In this article, ECVT sensor design, optimization and performance of various sensors seen in literature are summarized. Qualitative Analysis of ECVT image reconstruction techniques has also been presented.


2020 ◽  
Author(s):  
LaTasha R Holden ◽  
Michelle LaMar ◽  
Malcolm Bauer

The goal of the present work is to build a foundation for understanding cognition and decision-making processes in innovative assessment contexts. Specifically, we will assess students’ Cross-Cultural Competence (3C: see Thomas et al., 2008) through a social simulation game. The present work will use Mindset (i.e., individuals beliefs about whether ability is fixed or changeable, see Dweck, 2006) to ground the project in theory because it has been shown to be a powerful motivator for decision-making and behavior in learning and achievement (Dweck & Leggett; 1988; Dweck, 1999), and in cross-cultural contexts (Dweck, 2012). The novel contribution of this paper is to apply Mindset theory to social situations requiring 3C, thus proposing the notion of cultural mindsets—defined here as the set of beliefs including affect, cognition, and behavior people bring to cross-cultural contexts. In cultural mindset, affect and cognition govern the ease with which people adapt, learn, and update cultural information. Additionally, we argue that cultural mindsets are important mechanisms involved in navigating cross-cultural situations effectively and should be considered more in future research. In order to understand how cultural mindset affects student performance, we will apply a computational cognitive modeling approach using Markov decision process (MDP) models. The MDP approach is appropriate for sequential decision-making in non-deterministic environments—as actions are chosen as part of a plan to achieve goals with the knowledge that some action effects will be probabilistic.


2016 ◽  
Vol 14 (2) ◽  
pp. e0904 ◽  
Author(s):  
Imre Cseresnyés ◽  
Tünde Takács ◽  
Anna Füzy ◽  
Krisztina R. Végh ◽  
Éva Lehoczky

 Applicability of root electrical capacitance (EC) measurement for monitoring of crop–weed competition was studied in a pot experiment. Maize (Zea mays L.) was grown both alone and with Echinochloa crus-galli or Abutilon theophrasti in different densities with regular measurement of root EC. Plants were harvested 42 days after planting to determine above- and belowground biomass. Depending on weed density, E. crus-galli-A. theophrasti interaction reduced the root EC of maize by 22–66% and 3–57%, respectively. Competitive effect of crop on weeds and intraspecific competition among weeds could also be detected by EC values: E. crus-galli was less sensitive both to the presence of maize and to intraspecific competition than A. theophrasti. Strong linear correlations between root dry mass and root EC for crop and weeds (with R2 from 0.901 to 0.956) were obtained by regression analyses at the end of the experiment. EC monitoring informed us on the emergence time of competition: E. crus-galli interfered with maize root growth a week earlier then A. theophrasti, and increasing weed densities accelerated the emergence of competition. In conclusion, the simple, non-destructive EC method should be considered a potential in situ technique for pot studies on crop–weed competition, which may partially substitute the intrusive techniques commonly used in agricultural researches.


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