<?xml version="1.0" encoding="UTF-8"?>
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<title>2019 - Engineering</title>
<link href="http://dr.lib.sjp.ac.lk/handle/123456789/11823" rel="alternate"/>
<subtitle/>
<id>http://dr.lib.sjp.ac.lk/handle/123456789/11823</id>
<updated>2026-04-23T10:15:15Z</updated>
<dc:date>2026-04-23T10:15:15Z</dc:date>
<entry>
<title>IoT based Intelligent Domestic Water Management System</title>
<link href="http://dr.lib.sjp.ac.lk/handle/123456789/12422" rel="alternate"/>
<author>
<name>Herath, HMMISB</name>
</author>
<author>
<name>Dinalankara, DMR</name>
</author>
<author>
<name>Wijenayake, UK</name>
</author>
<id>http://dr.lib.sjp.ac.lk/handle/123456789/12422</id>
<updated>2022-09-26T08:13:55Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">IoT based Intelligent Domestic Water Management System
Herath, HMMISB; Dinalankara, DMR; Wijenayake, UK
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Novel impairment-aware resource allocation scheme for elastic optical networks serving traffic with different service priorities</title>
<link href="http://dr.lib.sjp.ac.lk/handle/123456789/12421" rel="alternate"/>
<author>
<name>Munasinghe, K.</name>
</author>
<author>
<name>Dharmaweera, M.N.</name>
</author>
<author>
<name>de Alwis, C.</name>
</author>
<id>http://dr.lib.sjp.ac.lk/handle/123456789/12421</id>
<updated>2022-09-26T07:32:12Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Novel impairment-aware resource allocation scheme for elastic optical networks serving traffic with different service priorities
Munasinghe, K.; Dharmaweera, M.N.; de Alwis, C.
In this research paper, we propose a novel&#13;
impairment-aware resource allocation scheme that increases&#13;
spectrum efficiency of an elastic optical network (EON), while&#13;
satisfying the quality of transmission (QoT) requirements of&#13;
traffic connections with different service priorities (i.e., high&#13;
and low priority traffic). To demonstrate the validity and&#13;
superiority of our algorithm, we compared the results of our&#13;
proposed resource allocation scheme against a benchmark&#13;
algorithm. The results were simulated for a 6-node network&#13;
and a 14-node network. Compared to the benchmark&#13;
algorithm, on average, our proposed scheme increases&#13;
spectrum efficiency by an additional 20 % while ensuring a&#13;
minimum latency for high priority traffic, causing minimum&#13;
disruptions to existing low priority traffic, and blocking less&#13;
than 1 % of the total connections.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Efficient Medical Video Streaming by Pre Processing and Network Traffic Prioritization in Real-Time</title>
<link href="http://dr.lib.sjp.ac.lk/handle/123456789/12420" rel="alternate"/>
<author>
<name>Balagalla, U.B.</name>
</author>
<author>
<name>Sivapatham, S.</name>
</author>
<author>
<name>Munasinghe, K.</name>
</author>
<author>
<name>Subasinghe, A.</name>
</author>
<author>
<name>de Alwis, C.</name>
</author>
<id>http://dr.lib.sjp.ac.lk/handle/123456789/12420</id>
<updated>2022-09-26T07:28:37Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Efficient Medical Video Streaming by Pre Processing and Network Traffic Prioritization in Real-Time
Balagalla, U.B.; Sivapatham, S.; Munasinghe, K.; Subasinghe, A.; de Alwis, C.
Developing advanced healthcare applications&#13;
to cater to the requirements of an ever-growing population&#13;
has become one of the key areas of research in engineering.&#13;
One major application in this area is medical video streaming,&#13;
which is often used for remote monitoring of patients. Medical&#13;
video streaming helps to overcome geographical barriers and&#13;
offers medical services at the convenience of the patient.&#13;
However, as medical videos carry critical and time-sensitive&#13;
information, retaining the quality and reducing latency&#13;
during transmission is paramount for accurate medical&#13;
diagnosis. This paper presents the concept of effective medical&#13;
video streaming, which incorporates novel methods in video&#13;
pre-processing, video compression, and transmission of&#13;
medical data over optical networks.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
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