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  <channel rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5449">
    <title>DSpace Collection:</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/5449</link>
    <description />
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        <rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5462" />
        <rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5461" />
        <rdf:li rdf:resource="http://ir.lib.seu.ac.lk/handle/123456789/5457" />
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    <dc:date>2026-04-06T08:11:05Z</dc:date>
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  <item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5462">
    <title>Highways traffic surveillance using internet protocol cameras and open source computer vision library</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/5462</link>
    <description>Title: Highways traffic surveillance using internet protocol cameras and open source computer vision library
Authors: Naleer, H. M. M.; Jayasinghe, J. A.G. G.
Abstract: Because of road traffic and traffic congestion, the development of traffic surveillance systems with multifunctional techniques has received increasing attention. Vehicle detection, tracking, &#xD;
classification, and tally are extremely necessary for military, civilian, and government applications, &#xD;
like road watching, traffic prediction, toll assortment, and traffic flow. For traffic management, &#xD;
vehicle detection is that the vital step. This paper presents a real-time management and control&#xD;
system that serves to analyze road traffic using an IP camera. The programming method enforced with python artificial language with functional programming of OpenCV which could be operated under both, Windows and Linux OS. During this paper, we tend to gift cheap, transportable, and &#xD;
Computer Vision primarily based on systems for moving vehicle detection and tally. Image from a video sequence is taken to observe moving vehicles. The system is enforced mistreatment OpenCV image development kits and experimental results are incontestable from video dataset. The traffic counting method has been developed by background subtraction, image filtering, image binary, and segmentation ways are used. this method is additionally capable of tally moving vehicles from videos. This paper will also examine the result of the computer vision programming under GNU &#xD;
Linux. The experimental results show that the proposed method can achieve more than 97% &#xD;
accuracy of vehicle counting.</description>
    <dc:date>2020-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5461">
    <title>Exact solution for an anisotropic star admitting the MIT bag model equation of state</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/5461</link>
    <description>Title: Exact solution for an anisotropic star admitting the MIT bag model equation of state
Authors: Komathiraj, K.; Sharma, R.
Abstract: Current observational data indicate the possible existence of compact stars composed of deconfined quarks known as strange stars. In this paper, we present two new classes of solutions for a compact star whose interior strange matter composition admits the MIT Bag model equation of state. The solutions are expressed in terms of elementary functions which facilitates its physical applicability. The new solution contains some of the previously obtained solutions including models of charged anisotropic relativistic spheres and isotropic charged star model. The general &#xD;
class of solutions generated in this paper will, hopefully, contribute to the existing rich class of &#xD;
solutions to the Einstein-Maxwell system of equations.</description>
    <dc:date>2020-08-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://ir.lib.seu.ac.lk/handle/123456789/5457">
    <title>DNA binds to non-steroidal anti-inflammatory drugs (NSAIDs): evidences through In vitro and In silico studies</title>
    <link>http://ir.lib.seu.ac.lk/handle/123456789/5457</link>
    <description>Title: DNA binds to non-steroidal anti-inflammatory drugs (NSAIDs): evidences through In vitro and In silico studies
Authors: Safeena, M. I. S.
Abstract: The mechanism of interaction of drugs with potential target and off-target biomolecules such as with DNA enables the development of a rational drug designing system, especially for therapeutic anticancer or anti-tumor drugs. Diclofenac, indomethacin, and mefenamic acid are non-steroidal anti-inflammatory drugs (NSAIDs) that have been tested in this study. These &#xD;
NSAIDs have diverse biological and pharmacological activities. In vitro methods such as&#xD;
various biophysical techniques and In silico studies using molecular docking were applied to investigate the binding abilities and mode of binding of these drugs with calf thymus DNA (ct DNA). &#xD;
The UV-visible absorbance spectra and fluorescence emission profile of the above NSAIDs upon &#xD;
addition of ct-DNA indicates the formation of a drug–DNA complex. The Wolf shimmer &#xD;
binding constant (Kb) of diclofenac, indomethacin, and mefenamic acid from UV – visible &#xD;
experiment was found to be 2.05x104 M-1&#xD;
, 4.29x104M-1&#xD;
and 2.73x104 M-1&#xD;
respectively. The &#xD;
results of fluorescence experiments revealed the binding constants as 8x10-3 μl ng-1&#xD;
, 3x10-3 μl &#xD;
ng-1 and 6x10-3 μl ng-1 for diclofenac, indomethacin and mefenamic acid respectively and these &#xD;
values are consistent with those of well-known groove binders. The binding constants of all&#xD;
tested drugs showed the groove binding mode of interaction with ct-DNA. In addition, the &#xD;
testing of drug-DNA complex for relative specific viscosity and the resulted output images of &#xD;
the molecular docking experiments further confirmed the effective binding interactions &#xD;
between ct-DNA and diclofenac, indomethacin, and mefenamic acid.</description>
    <dc:date>2020-08-01T00:00:00Z</dc:date>
  </item>
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