1,721,039 research outputs found
Monitoring of a tall building to develop axial shortening models incorporating high strength concrete
No full textThis paper addresses axial shortening prediction o
f the vertical concrete elements of tall buildings
with a particular focus on developing a reliable mo
del for high strength concrete (HSC). An establishe
d
reinforced concrete column shortening model used fo
r normal strength concrete (NSC) is modified to pre
dict
axial shortening in vertical elements made of HSC.
To compare with the theoretical model, the axial sh
ortening
measurements taken from the 83 storey World Tower B
uilding, Sydney (WTS), obtained during the
construction period, are used. The theoretical mode
l having the best match with the actual measurement
s are
recommended for predicting axial shortening of vert
ical elements using HSC
On Securing Wireless LAN Access to Government Information Systems
No full textThe success of the IEEE 802.11 series of standards has led to a proliferation of\ud
affordable and interoperable wireless networking devices. Wireless functionality is an\ud
integrated feature of many laptops, personal digital assistants, and even mobile\ud
phones. With the ratification of the security enhancement to IEEE 802.11, referred to\ud
as IEEE 802.11i, in 2004 and the subsequent availability of implementations of the\ud
standard in current hardware, many of the security concerns surrounding the original\ud
wireless standards would seem to have been addressed. Are the security enhanced\ud
features of IEEE 802.11i, however, suitable for securing access to Australian\ud
Government information systems? In this paper, we review the capability of the\ud
security features of IEEE 802.11i to address the requirements for securing access to\ud
Government information systems as expressed in the Australian Government\ud
information technology security manual (ACSI33). Our review identifies the\ud
requirements of ACSI33 and reveals that a number of these can be met by specific\ud
security configurations of IEEE 802.11i. Meeting these requirements, however, is\ud
highly dependent not only on the correct configuration of the wireless networking\ud
components, but also the supporting authentication infrastructure. Additionally,\ud
remaining vulnerabilities in the IEEE 802.11i standard are identified as are\ud
vulnerabilities introduced by the use of mobile and wireless devices
A feature based face recognition technique using Zernike moments
No full textIn this paper, a face recognition approach using Zernike moments is presented for the main purpose of detecting faces in surveillance cameras. Zernike moments are invariant\ud
to rotation and scale and these properties make them an appropriate feature for automatic face recognition. A Viola-Jones detector based on the Adaboost algorithm is employed for detecting the face within an image sequence. Pre-processing is carried out wherever it is needed. A fuzzy enhancement algorithm is also applied to achieve uniform illumination. Zernike moments are then computed from each detected facial image. The final classification is achieved using a kNN classifier. The performance of the proposed methodology is compared on three different benchmark datasets. The results illustrate the efficacy of Zernike moments for the face recognition problem in video surveillance
a face recognition approach using zernike moments for video surveillance
No full textIn this paper, a face recognition approach using Zernike moments is presented for the main purpose of detecting faces in surveillance cameras. Zernike moments are\ud
invariant to rotation and scale and these properties make them an appropriate feature for automatic face recognition. A Viola-Jones detector based on the Adaboost algorithm is employed for detecting the face within an image sequence. Preprocessing is carried out wherever it is needed. A fuzzy enhancement algorithm is also applied to achieve uniform illumination. Zernike moments are then computed from each detected facial image. The final classification is achieved using a kNN classifier. The performance of the proposed methodology is compared on three different benchmark datasets. The results illustrate the efficacy of Zernike moments for the face recognition problem in video surveillance
Editorial : is it the time for railway industry to reinvent itself?
No full textEditorial: is it the time for railway industry to reinvent itself? Railway infrastructure plays a critical role in urban development, mobility, and economic growth of society. This focus issue of the Electronic Journal of Structural Engineering is devoted to a special theme, “Advances in Rail Track Infrastructure and Practice - ARTRP”. It contains articles, which were rigorously peer reviewed and accepted from a list of invited manuscripts that demonstrate significant innovation in the area of the structural engineering aspects of the rail track infrastructure..
Experimental and computational investigations on fire resistance of GFRP composite for building façade
No full textComposite materials such as glass fibre reinforced polymers (GFRPs) possess the advantages of high strength and stiffness, as well as low density and highly flexible tailoring; therefore, their potential in replacing conventional materials (such as concrete, aluminium and steel) in building façade has become attractive. This paper addresses one of the major issues that hinder the extensive use of composite structures in the high-rise building industry, which is the fire resistance. In this study, a fire performance enhancement strategy for multilayer composite sandwich panels, which are comprised of GFRP composite facets and polyethylene foam core, is proposed with the addition of environmentally friendly, fire retardant unsaturated polyester resins and gel-coats. A series of burning experimental studies including thermo-gravimetric analysis (TGA) and single burning item (SBI) are carried out on the full scale composite sandwich as well as on single constituents, providing information regarding heat release rate, total heat release, fire growth rate, and smoke production. Experimental results are compared with fire safety codes for building materials to identify the key areas for improvements. A fire dynamic numerical model has been developed in this work using the Fire Dynamics Simulator (FDS) to simulate the burning process of composite structures in the SBI test. Numerical results of heat production and growth rate are presented in comparison with experimental observations validating the computational model and provide further insights into the fire resisting process. Parametric studies are conducted to investigate the effect of fire retardant additives on the fire performance of the composite sandwich panel leading to optimum designs for the sandwich panel
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
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