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  <title>UCSC Digital Library Collection:</title>
  <link rel="alternate" href="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2411" />
  <subtitle />
  <id>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2411</id>
  <updated>2026-04-29T18:49:25Z</updated>
  <dc:date>2026-04-29T18:49:25Z</dc:date>
  <entry>
    <title>Fine Tuning Fuzzy Rules with Genetic programming for a fuzzy logic based Traffic light Controller System</title>
    <link rel="alternate" href="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2827" />
    <author>
      <name>Padmasiri, T.D.N.D.</name>
    </author>
    <id>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2827</id>
    <updated>2016-03-01T07:41:06Z</updated>
    <published>2014-10-30T00:00:00Z</published>
    <summary type="text">Title: Fine Tuning Fuzzy Rules with Genetic programming for a fuzzy logic based Traffic light Controller System
Authors: Padmasiri, T.D.N.D.
Abstract: Fuzzy logic supports pervasive uncertainty and vagueness in real world decision making situations.&#xD;
Fuzzy logic traffic controller systems are investigated for their performance for number&#xD;
of years and given good results compared to traditional traffic controller systems. Genetic programming&#xD;
on the other hand is being used as a technique to automatically discover computer&#xD;
programs using principles of Darwinian evolution. The blend of fuzzy logic and genetic programming&#xD;
is used in this research to achieve fine-tuned set of fuzzy rule(s), upon giving hundreds&#xD;
of fuzzy rules as the input. The fuzzy logic based traffic controller system is based as&#xD;
the target system to retrieve simulated data, fuzzy rule sets and finally a part of the validation&#xD;
methodology. The system is designed based on constant average arrival rate of vehicles per lane&#xD;
per second, and the queue lengths of the lanes at start up of the process. Here the arrival rates&#xD;
are considered to be in a poisson distribution. A traffic simulator was developed with a simple&#xD;
interface, which handles routing of vehicles in a single four-leg intersection with left and right&#xD;
turns.The fuzzy logic traffic controller system is used to generate the simulation data to feeded&#xD;
to the genetic programming system. The genetic programming system is creating a fuzzy rule&#xD;
using the data feeded. We call this, fine tuning of fuzzy logic rules. This fine tuned fuzzy logic&#xD;
rule, proven to be resulting better Mean Square Error for queue length of the total system at a&#xD;
point of time.</summary>
    <dc:date>2014-10-30T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A mobile based solution for automatic detection and classification of birds</title>
    <link rel="alternate" href="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2826" />
    <author>
      <name>Manamendra, M.A.S.C.</name>
    </author>
    <id>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2826</id>
    <updated>2016-03-01T07:41:06Z</updated>
    <published>2014-10-30T00:00:00Z</published>
    <summary type="text">Title: A mobile based solution for automatic detection and classification of birds
Authors: Manamendra, M.A.S.C.
Abstract: Sri Lanka is a tropical island situated close to the southern tip of India. The bird life of Sri Lanka is very rich for its size, and about 433 species have been recorded. In addition to the many resident birds, a considerable number of migratory species winter in the country to escape their northern breeding grounds.&#xD;
With the invention of the new technologies like mobile applications, the environment lovers want to get the details of the different types of birds using the smart devices. To fulfil this need, the details should be available globally and an application should be there to identify the sound of the birds and predict what the bird is.&#xD;
This research basically looks at detecting the bird calls and predicting it. The research was conducted focusing on the birds that are local to the Sri Lanka context. The detection is highly subjective since bird call is considered to be the input signal to the algorithm. Many methods were experienced during the research time and wavelet method was selected for the detection purpose. Android was the platform for the mobile application and server application relies on matlab with .net framework.&#xD;
Noise effect had to be considered when the research was conducted and noise removal was one of the major tasks. For that signals were sent to the noise removal algorithm which has been developed in matlab, once that is finalized coefficient values were calculated for the noise free signals. Those values are considered in the matching process with a predefined threshold value. The application is looking for the values that can match at least 95% of a given signal.&#xD;
This document describes the basic the main research focus and along with many research backgrounds that have already been conducted. In addition to the basics, the details description is provided about the research process and the methods selected for this research. For this research ten birds were selected by considering many facts like similar calls and rare birds. They are Sri Lanka spur fowl, Black headed ibis, Shikra, White-Brested waterhen, Red-wattled lapwing, Common Snipe, Euransian Woodcock, Sri Lanka hanging parrot, Sri Lanka Red-Faced malkoha, Sri Lanka green-billed coucal.</summary>
    <dc:date>2014-10-30T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Drowsy driver warning system based on smart phone</title>
    <link rel="alternate" href="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2825" />
    <author>
      <name>Chandana, K.W.S.</name>
    </author>
    <id>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2825</id>
    <updated>2016-03-01T07:41:06Z</updated>
    <published>2014-10-30T00:00:00Z</published>
    <summary type="text">Title: Drowsy driver warning system based on smart phone
Authors: Chandana, K.W.S.
Abstract: Drowsiness is one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before an accident happens. Researches have been done to determine driver drowsiness using the several measures like vehicle-based measures, behavioral measures, and physiological measures. In this project it is expected to build a system to detect and warn the driver based on behavioral measures like eye closure of the driver just before fall to sleep. System is based on a smartphone with external IR capable WIFI camera. Drivers who ware spectacles are not considered in this project scope. Main focus on this project is exploring fast real-time algorithms which is suitable for a smart phone which resources may low compared with computers.</summary>
    <dc:date>2014-10-30T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Rollback Recovery For WebServices</title>
    <link rel="alternate" href="https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2824" />
    <author>
      <name>Vijayaratha, V.</name>
    </author>
    <id>https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2824</id>
    <updated>2016-03-01T07:41:06Z</updated>
    <published>2014-10-03T00:00:00Z</published>
    <summary type="text">Title: Rollback Recovery For WebServices
Authors: Vijayaratha, V.
Abstract: Rollback recovery is one of many critical tasks in the design of web services systems.&#xD;
It has become increasingly important as a result of the high load of requests to be processed&#xD;
by the system. It has also been realized that loss of messages do affect the business due to a&#xD;
variety of service failures.&#xD;
Deterministic and non-deterministic event failures are often in web services.&#xD;
Deterministic event failures occurs when processing the messages at service level. But nondeterministic&#xD;
event failures occur mainly due to service inactive state, which can not process&#xD;
the requests.&#xD;
Suitable rollback-recovery techniques are identified previously for message passing&#xD;
systems which are checkpoint-based and log-based techniques. Survey done on message&#xD;
passing systems for non-deterministic event failures concludes that we can recreate the lost&#xD;
state of the service by replaying the saved messages. Survey further points that, we can use&#xD;
both Rollback-recovery techniques to store the non-deterministic event failures in a message&#xD;
passing system. Both mechanisms have their own advantages and disadvantages.&#xD;
The overall goal of this research effort was to identify a suitable rollback-recovery&#xD;
technique for non-deterministic event failures which occur in web services and implement a&#xD;
proof of concept design and implementation to validate the results. To achieve this goal, a&#xD;
detailed study was carried out to understand and decide the more suitable rollback- recovery&#xD;
technique. Log-based recovery mechanism was selected as suitable for web services and&#xD;
using that technique a proof of concept design and Java-based implementation was done for&#xD;
Apache Axis2 web service platform. Implementation follows the Axis2 architectural design&#xD;
mainly the handler chain design which can be modified according to the system design.&#xD;
Tests were carried to validate the results of the design for different web services and&#xD;
different type of services like SOAP and REST. In failure case test, we sent non-deterministic&#xD;
messages and made them to fail. We were able to log those messages, successfully replay&#xD;
them and we were able to produce correct response for those failed requests. In success case&#xD;
test,our system was able to log the all non-deterministic messages and finally it didn't replay&#xD;
any messages because all messages were successful requests.&#xD;
ii&#xD;
Several design variables including the system performance, high I/O performance for&#xD;
database, garbage collection mechanism were identified.</summary>
    <dc:date>2014-10-03T00:00:00Z</dc:date>
  </entry>
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