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Browsing ICITR - 2018 by Title

Browsing ICITR - 2018 by Title

Now showing items 1-20 of 34

3rd International Conference on Information Technology Research 2018 ( Pre Text)

Wijesiriwardana, CP [Conference-Full-text]
Alexza: a mobile application for dyslexics utilizing artificial intelligence and machine learning concepts

Rajapakse, S; Polwattage, D; Guruge, U; Jayathilaka, I; Edirisinghe, T; Thelijjagoda, S [Conference-Full-text]

Dyslexia can be explained as a neurological learning disability which causes difficulties in reading, word decoding, comprehension, short-term memory, writing, spelling, and speaking. People who are diagnosed with dyslexia ...
An approach of filtering the content of posts in social media

Kumaresamoorthy, N; Firdhous, MFM [Conference-Full-text]

Social media is playing a major role in relaxing, sharing thought for keep good relationship and academic purpose as well. But, there are some improper or demotivating posts available together, it makes parents to keep ...
Augmented reality based breadboard circuit building guide application

Thiwanka, N; Chamodika, U; Priyankara, L; Sumathipala, S; Weerasuriya, GT [Conference-Full-text]

Building circuits on breadboards is an activity which requires a lot of attention and thinking. If there is a way to guide this process by using modern technologies, the learning process can be made more effective and ...
-Blind draw-a software solution for image identification and artistic skills for visually impaired people using braille

Fonseka, ODS; Wedasinghe, N [Conference-Full-text]

At present, visually impaired individuals do not perform or engage much in art. They do not draw paintings because they do not have the ability to draw a world unknown and unseen before. New emerging softwares are ...
Building an open-source environmental monitoring system - a review of state-of-the-art and directions for future research

Sudantha, BH; Warusavitharana, EJ; Ratnayake, GR; Mahanama, PKS; Cannata, M; Strigaro, D [Conference-Full-text]

The massive development take place in the field of IoT (Internet of Things) has enabled generation of large set of real time environmental data from low cost sensor networks. This has enabled developing nations to monitor ...
A color mask and trained image set for the creation of new technique for indoor robotic navigation

Warnakulasooriya, KMHK; Sudantha, BH; Premachandra, C [Conference-Full-text]

Among the different methods used in the indoor navigation of robotic systems image processing techniques are widely used. This research was focused to explore a new dimension of image capturing and matching in order to ...
Data security implementations in cloud computing: a critical review

Firdhous, MFM; Hussien, NA [Conference-Full-text]

Cloud Computing has captured the market as the most promising computing paradigm, where users are allowed to use computing resources in a flexible and cost effective manner. Data storage is one of the services provided ...
Defining of normalized load profile curves for domestic customer groups to estimate feeder power loss

Jayawardhana, HACH; Hemapala, KTMU; Bandara, AWAL; De Silva, PSN [Conference-Full-text]

In a country, domestic electricity customer percentage is higher in number wise, but energy usage of one customer is lower compared to other categories. Therefore, installing a load profile recording meter for each ...
An efficient approach towards image stitching in aerial images

Rathnayake, RMNB; Seneviratne, L [Conference-Full-text]

Aerial images taken by Unmanned Aerial Vehicles (UAV) contain rich geographic information. However, the higher the altitude the cost for image capturing increases and image quality or the visibility decreases. To overcome ...
Forecasting stock price of a company considering macroeconomic effect from news events

Waduge, N; Ganegoda, U [Conference-Full-text]

Investment perspective, Stock Market is the most popular potential investment market around the globe currently, because of this reason the need of an effective stock prediction approach was a target of many researchers. ...
Generating entity relationship diagram from requirement specification based on nlp

Kashmira, PGTH; Sumathipala, S [Conference-Full-text]

An entity relationship data model is a high level conceptual model that describes information as entities, attributes relationships and constraints. Entity relationship diagrams to design the database of the software. ...
Google map and camera based fuzzified adaptive networked traffic light handling model

Nirmani, A; Thilakarathne, L; Wickramasinghe, A; Senanayake, S; Haddela, PS [Conference-Full-text]

Rising traffic congestion has turned into a certain issue as the number of vehicles on roads are increasing. This research study was conducted to develop ‘Google Map and Camera Based Fuzzified Adaptive Networked Traffic ...
Integrated corporate network service architecture for bring your own device (byod) policy

Seneviratne, BLD; Senaratne, SA [Conference-Full-text]

As consumerization of Information Technology occurs, Bring-Your-Own-Device (BYOD) policy is becoming increasingly popular in Corporate Mobility, where organizations allow personal devices to access corporate networks ...
Iot-enabled smart elephant detection system for combating human elephant conflict

Fazil, M; Firdhous, M [Conference-Full-text]

Human elephant conflict has become one of major and serious problems for many countries in Asia and Africa. The conflict between humans and elephants have resulted in loss of human life and limbs as well as death of many ...
Iot-powered sustainable dry zone agriculture: an experimental implementation

Firdhous, MFM; Sudantha, BH; Karunaratne, PM [Conference-Full-text]

Dry zone agriculture plays an important role in the national economies of many countries. On the other hand dry zone agriculture suffers from many problems especially lack of water for producing the optimum yield it ...
N-dimentional data visualization for industrial power consumption

Samaranayaka, JRACP; Wimalaratne, P [Conference-Full-text]

In the modern world, organizations will generate various types of data as a result of their day today activities. Collecting the data itself will not enough to take strategic advantage over them. Improved analytical ...
New approach to solve dynamic job shop scheduling problem using genetic algorithm

Kurera, C; Dasanayake, P [Conference-Full-text]

Job Shop Scheduling Problem (JSSP) is one of the most common problems in manufacturing due to its widespread application and the usability across the manufacturing industry. Due to the vast solution space the JSSP ...
Predictive maintenance and performance optimisation in aircrafts using data analytics

Weerasinghe, S; Ahangama, S [Conference-Full-text]

Airline industry has provided a significantly conventional, faster and reliable mode of transportation for passengers and freight over the decades in which the industry has been in service despite the pressure being applied ...
R programming for social network analysis - a review

Maddumage, C; Dhanushika, MP [Conference-Full-text]

Social network data have become richer and easier to collect, but that has pushed the borders of the prior art of advanced networks. Therefore, capability of scaling social network is not simply in terms of these advanced ...

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