Research Papers - Dept of Information Technology

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/593

Browse

Filters

2017 - 20192

Advanced Search

Filter by

Settings

Has files: YesSubject: search.filters.subject.Dynamic

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationEmbargo
    Dynamic 3D model construction using architectural house plans
    (IEEE, 2017-01-27) Ruwanthika, R. G. N; Amarasekera, P. A. D. B. M; Chandrasiri, R. U. I. B; Rangana, D. M. A. I; Nugaliyadde, A; Mallawarachchi, Y
    The paper presents a complete approach to a dynamic 3D model construction from 2D house plans. This tool assembles 3D models and overlays virtual model on the real 2D blueprint of a house (architectural or hand-drawn). Key content of this research covers three dimensions which are; Wall detection and Wall modeling, Roof detection and Roof modeling and Template matching of Doors/Windows. The end result will be mainly based on Image Processing and Augmented Reality technologies. This tool lets users easily manipulate 3D models in real time through their smartphones and to showcase architecture models are in an entirely new way.
  • Thumbnail Image
    PublicationEmbargo
    Dynamic stopword removal for Sinhala Language
    (IEEE, 2019-10-08) Jayaweera, A. A. V. A; Senanayake, Y. N; Haddela, P. S
    In the modern era of information retrieval, text summarization, text analytics, extraction of redundant (noise) words that contain a little information with low or no semantic meaning must be filtered out. Such words are known as stopwords. There are more than 40 languages which have identified their language specific stopwords. Most researchers use various techniques to identify their language specific stopword lists. But most of them try to define a magical cut-off point to the list, which they identify without any proof. In this research, the focus is to prove that the cut-off point depends on the source data and the machine learning algorithm, which will be proved by using Newton's iteration method of root finding algorithm. To achieve this, the research focuses on creating a stopword list for Sinhala language using the term frequency-based method by processing more than 90000 Sinhala documents. This paper presents the results received and new datasets prepared for text preprocessing.