Developing optical up-conversion process via embedded silver nanostructures

2021 ◽  
pp. 118717
Author(s):  
Ali Hajjiah ◽  
Roanne Ibrahim ◽  
Nihal Ibrahim ◽  
Mohammed Gamal ◽  
S.A. Elrafei ◽  
...  
2021 ◽  
Author(s):  
Kirill B. Larionov ◽  
Albert Zh. Kaltaev ◽  
Vladimir E. Gubin ◽  
Andrey V. Zenkov

2019 ◽  
Vol 38 (1) ◽  
pp. 69-77
Author(s):  
Noppawan Photong ◽  
Jaruwan Wongthanate

This research is focused on the feasibility of biofuel from water hyacinth mixed with cassava starch sediment by biological and physical conversion processes and the comparison of the gross electricity production in these processes. The biological conversion process produced biomethane by anaerobic digestion. The optimal conditions of biomethane production were a ratio of water hyacinth and cassava starch sediment at 25:75, initial pH of 7.5, thermophilic temperature (55 ± 2°C) and C/N ratio of 30. The maximum biomethane yield measured was 436.82 mL CH4 g chemical oxygen demand (COD)−1 and the maximum COD removal was 87.40%. The physical conversion process was bio-briquette. It was found that the ratios of water hyacinth and cassava starch sediment at 10:90, 20:80, 30:70, 40:60 and 50:50 were the best ratio of fuel properties and close to the Thai Community Product Standard, with heating values of 15.66, 15.43, 15.10, 14.88 and 14.58 MJ kg−1, respectively. Moreover, results showed that the gross electricity production of the biological conversion process (biomethane) was 3.90 kWh and the gross electricity production of the physical conversion process (bio-briquette) from the ratios of water hyacinth and cassava starch sediment at 10:90, 20:80, 30:70, 40:60 and 50:50 were 1.52, 1.50, 1.47, 1.45 and 1.42 kWh, respectively.


2014 ◽  
Vol 92 (11) ◽  
pp. 1489-1493 ◽  
Author(s):  
P.V. Sreevidya ◽  
S.B. Gudennavar ◽  
Daisy Joseph ◽  
S.G. Bubbly

K shell X-rays of barium and thallium following internal conversion decay in Cs137 and Hg203, respectively, were detected using a Si(Li) X-ray detector coupled to PC-based 8k multichannel analyser employing the method suggested earlier by our group. The K shell X-ray intensity ratios and vacancy transfer probabilities for thallium and barium were calculated. The obtained results are compared with theoretical, semiempirical, and others’ experimental results obtained via photoionization as well as decay processes. The effects of beta decay and internal conversion on X-ray emission probabilities are discussed.


1996 ◽  
Vol 26 (8) ◽  
pp. 1416-1425 ◽  
Author(s):  
Pete Bettinger ◽  
Gay A. Bradshaw ◽  
George W. Weaver

The effects of geographic information system (GIS) data conversion on several polygon-and landscape-level indices were evaluated by using a GIS vegetation coverage from eastern Oregon, U.S.A. A vector–raster–vector conversion process was used to examine changes in GIS data. This process is widely used for data input (digital scanning of vector maps) and somewhat less widely used for data conversion (output of GIS data to specific formats). Most measures were sensitive to the grid cell size used in the conversion process. At the polygon level, using the conversion process with grid cell sizes of 3.05, 6.10, and 10 m produced relatively small changes to the original polygons in terms of ln(polygon area), ln(polygon perimeter), and 1/(fractal dimension). When grid cell size increased to 20 and 30 m, however, polygons were significantly different (p < 0.05) according to these polygon-level indices. At the landscape level, the number of polygons, polygon size coefficient of variation (CV), and edge density increased, while mean polygon size and an interspersion and juxtaposition index (IJI) decreased. The youngest and oldest age-class polygons followed the trends of overall landscape only in terms of number of polygons, mean polygon size, CV, and IJI. One major side effect of the conversion process was that many small polygons were produced in and around narrow areas of the original polygons. An alleviation process (referred to as the dissolving process) was used to dissolve the boundaries between similarly attributed polygons. When we used the dissolving process, the rate of change for landscape-level indices slowed; although the number of polygons and CV still increased with larger grid cell sizes, the increase was less than when the dissolving process was not used. Mean polygon size, edge density, and fractal dimension decreased after use of the dissolving process. Trends for the youngest and oldest age-class polygons were similar to those for the total landscape, except that IJI was greater for these age-classes than for the total landscape.


1949 ◽  
Vol 17 (2) ◽  
pp. 215-215 ◽  
Author(s):  
William H. Hamill ◽  
J. A. Young

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