105,043 research outputs found
Low temperature gas sensing properties of Graphene Oxide/SnO2 nanowires composite for H-2
No full textIn this work Graphene Oxide (GO) and SnO2 nanowires (NWs) composite
sensing performance were studied. Single crystal SnO2 NWs were directly
grown by thermal evaporation method and GO was successfully synthesized
using modified Hummers method. RF magnetron sputtered Pt particles were
used as a catalyst for the growth of SnO2 NWs. Drop cast technique was
used to deposited GO on top of the SnO2 NWs. FE-SEM (LEO 1525) was used
to investigate the morphology of SnO2 NWs and GO. Fabricated sensors
were tested towards various concentration of H-2 at different working
temperatures. This GO/SnO2 hybrid sensors show a reversible response to
H-2 at low operating temperature. (C) 2016 The Authors. Published by
Elsevier Ltd
Nonlinear fibre design for broadband phase sensitive amplification
No full textWe present a soft glass fibre design for high nonlinearity and broadband, low dis-persion and simulate its performance as a phase sensitive amplifier for high bit rate signals at 1 T b/s. We use a degenerate, two pump four wave mixing scheme and show that with a fibre length of less than 1 m we are able to achieve 14 dB discrimination between the amplified and deamplified signal quadratures with 1 W pump power.H. Tilanka Munasinghe, Shahraam Afshar V., David J. Richardson, and Tanya M. Monrohttp://www.iqec-cleopr2011.com/http://www.opticsinfobase.org/abstract.cfm?uri=CLEOPR-2011-C70
Genetic and root phenotype diversity in Sri Lankan rice landraces may be related to drought resistance
No full textAcknowledgements Mayuri Munasinghe was supported by a Commonwealth Scholarship (ref no. LKCS-2009-384). The development and use of the SNP chip was funded by a BBSRC grant BB/J003336/1. The authors thank Owen Price (University of Wollongong, Australia) for producing the coloured province map of Sri Lanka, Gareth Norton (Aberdeen) for merging the RDP1 SNP data with the Sri Lankan data and Tony Travis (Aberdeen) for help with PCA.Peer reviewe
Seed-assisted growth of TiO2 nanowires by thermal oxidation for chemical gas sensing
No full textHerein, we report the catalyst assisted growth of TiO2 one-dimensional (1D) nanowires (NWs) on alumina substrates by the thermal oxidation technique. RF magnetron sputtering was used to deposit a thin Ti metallic layer on the alumina substrate, followed by an Au catalytic layer on the Ti metallic one. Thermal oxidation was carried out in an oxygen deficient environment. The optimal thermal growth temperature was 700◦C, in a mixture environment composed by Ar and O2. As a comparison, Ti films were also oxidized without the presence of the Au catalyst. However, without the Au catalyst, no growth of nanowires was observed. Furthermore, the effect of the oxidation temperature and the film thickness were also investigated. SEM, TEM, and EDX studies demonstrated the presence of Au nanoparticles on top of the NWs, indicating that the Au catalyst drove the growth process. Raman spectroscopy revealed the Rutile crystalline phase of TiO2 NWs. Gas testing measurements were carried out in the presence of a relative humidity of 40%, showing a reversible response to ethanol and H2 at various concentrations. Thanks to the moderate temperature and the easiness of the process, the presented synthesis technique is suitable to grow TiO2 NWs for many different applications
Adaptive neurofuzzy controller to regulate UTSG water level in nuclear power plants
No full textA data-driven adaptive neurofuzzy controller is presented for the water-level control of U-tube steam generators in nuclear power plants. This neurofuzzy controller is capable of learning the control action principles from the data obtained using other methods of automatic or manual control. There are four inputs in the neurofuzzy system, yet only eighty fuzzy rules involved. Therefore, the fuzzy system is versatile and moderately compact. The versatility is due to the higher input space dimension that helps to learn more control principles. The compactness is due to the number of rules being not too many. A 10-h evaluation trial of the trained fuzzy controller demonstrated its capability in regulating the water level under random disturbances and reference level changes
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
House keeping management as a strategy to minimize construction waste in high rise building projects
No full textBuilding design and construction has found many interested parties in nearly all sectors\ud
of the economy of the Indonesia. Various studies in developed countries have indicated that one method of improving construction project performance is by managing the construction waste. Project performance can be improved by reducing the unnecessary costs related to waste disposal and excess materials. However, the issues of construction waste have not been a main concern of construction project stakeholders in Indonesia. The Civil Engineering Department of the University of Indonesia has initiated the study on construction waste management in Indonesia. This paper discusses the results from one of the study, which is on construction waste minimization strategy. The main objective of construction waste minimization strategy is to reduce the amount of waste produced, which will lead to more cost effective project operation. This is based on concept that reduced construction waste can: save project cost, reduce excess materials, improve competitiveness, improve work habit, and improve quality of project environment. Construction waste minimization strategy can be implemented at 4 construction areas, namely project planning, preconstruction, off-site activities\ud
and on-site activities. A case study was conducted on a high-rise building project, which integrates its on-site activities on construction waste minimization into the house-keeping management of the project site. By doing this, the contractor achieve cleaner, more organized & tidier project site. In the on-site activities, improved work productivity, and more cost effective project
Gold functionalized MoO3nano flakes for gas sensing applications
No full textMolybdenum trioxide (MoO3) nano flakes (NF) with orthorhombic structure were synthesized by evaporation-condensation method using MoO3 powder as a raw material. Gold (Au) nanoparticles were used as a catalyst, preventing the growth of thick layers of MoO3. Furthermore, Au functionalization was performed by sputtering on pure MoO3 NF for a few seconds, decorating the flakes with Au nanoparticles. Chemical sensing performances were evaluated by introducing CO, NH3, Ethanol, NO2, Methanol, H2 and H2S gases in a syntetic air baseline with a relative humidity of 40% at 25 °C. MoO3 NF shows good sensitivity to Ethanol, Methanol, H2 and H2S gases. Owing to Au functionalization the devices exhibited an excellent response to H2S at an operating temperature of 400 °C: the response was 10 times higher than the pure MoO3, and the detection limit moved toward the ppb range
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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