Research Publications

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4194

This main community comprises five sub-communities, each representing the academic contribution made by SLIIT-affiliated personnel.

Browse

Filters

2017 - 20203

Advanced Search

Filter by

Settings

Has files: YesSubject: search.filters.subject.REST API

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationOpen Access
    Hashtag Generator and Content Authenticator
    (researchgate.net, 2018-01) Yapa Abeywardena, K; Ginige, A. R; Herath, N; Somarathne, H; Thennakoon, T. M. N. S
    In the recent past, Online Marketing applications have been a focus of research. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social media business platforms are considered, majority of the users who try to add a market value to their own product face the problem of not getting enough attention from their target audience. The purpose of this research is to develop a safe and efficient trending hashtag generating application solution for social media business users which generates trending and relevant hashtags for user content in order to get a broad reach of target audience, automatically generates a meaningful caption to their relevant posts and guarantees the authenticity of the product at the same time. The user content is analyzed and filters the important keywords, generates a meaningful caption, suggest related trending keywords and generates trending hashtags to get the required reach for online marketers. Additionally, the marketing products’ content authentication is ensured. The application uses Natural Language Processing, Machine Learning, API technologies, Java and Python technologies. A unique database is assigned to users which contains rankings for each user. The target audience who engages in buying products get to know about the status of the sellers with respect to authenticity of the content. It is believed that the application provides a promising solution to existing audience reach problems of online marketers and buyers. The significance of this system is to help marketers and buyers to engage in online buying and selling with much effective, reliable and safer ways. This mitigate the vulnerability of bad social media marketing influences and helps to establish a safe and reliable online marketing practice to make both sellers and buyers happy. This paper provides a brief description on how to perform an organized online marketing discipline via the Trending Hashtag Generator & Image Authenticator application.
  • Thumbnail Image
    PublicationOpen Access
    Efficient and Platform Independent CLI Tool for API Migration
    (Annual Conference 2017 - IET- Sri Lanka, 2017) Jayakody, A; Wijayaweera, V. P; Asbar, M. A. M
    Development organizations maintain separate environments for development, quality assurance and production etc. These environments execute independently and have their own deployment and own methods of traffic controlling that are handled locally. In such a process artefact allowed to be created only at development environment, tested in QA environment and then would promote to the production environment for promotion. In a API managing product company when moving API management products from one environment to another, all the created APIs need to migrate across different environments to save the developer time and effort at various environments. In order to achieve accurate and efficient migration, artefacts should be portable and transferable to any new environment without any major post migration changes and additional effort. In this paper, we present a more powerful, efficient and generalized CLI tool that can be used by any REST based API managing applications to perform API migration in a more precise manner. We analyzed the current migration techniques use by trending API Management products and identified the major sieve point that needed to be addressed. Taking those faults n to consideration we identified the appropriate mechanism to migrate APIs across different environments.
  • Thumbnail Image
    PublicationEmbargo
    Sinhala Conversational Interface for Appointment Management and Medical Advice
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Rajapakshe, D. D. S.; Kudawithana, K. N. B.; Uswatte, U. L. N. P.; Nishshanka, N. A. B. D.; Piyawardana, A. V. S.; Pulasinghe, K. N.
    This paper proposes an intelligent conversational user interface to assist Sinhala speaking users to make appointments with doctors and to obtain medical advices. This Sinhala Conversational Interface for Appointment Management and Medical Advice (SCI-AMMA) consists of Speech Recognition unit, Query Processing unit, Dialog Management unit, Voice Synthesizer unit, and User Information Management unit to handle user requests and maintain a meaningful dialogue. The SCI-AMMA gets the users' speech utterances and recognize the language content of it for further processing. Language content is further processed using query processing unit to identify users' intent. To fulfil the users' intent, a reply is generated from Dialogue Management Unit. This reply/answer will be delivered to the user by means of a voice synthesizer. The proposed system is successfully implemented using state of the art technology stack including Flutter, Python, Protégé and Firebase. Performance of the system is demonstrated using several sample scenarios/dialogues.