Data / Données

 

Recent Submissions

  • LIRNEasia (2018-03)
    This final report reviews research conducted around the potential uses of big data towards better informed public policy, and to expand the use of evidence-based research in the policy making process. Through this project, ...
  • Fernando, Lasantha; Perera, Amal; Lokanathan, Sriganesh (2018-03)
    The forecasting models developed in this work can be utilized to effect better resource mobilisation for combatting dengue. For understanding human mobility in disease propagation, Mobile Network Big Data (MNBD) is a low ...
  • Samarajiva, Rohan; Perera-Gomez, Thavisha (2018-03)
    The term “bulk surveillance” is used to describe the collection and analysis of behavioral big data relevant to maintenance of law and order, broadly defined. Avoidance of detection by law breakers may be perceived as ...
  • Wijeratne, Yudhanjaya; Samarajiva, Rohan; Lokanathan, Sriganesh; Surendra, Aparna; Fernando, Lasantha (2018-03)
    Social network connectivity between nations potentially serves as a way of exploring networks of international communities, human movement and economic activity. This connectivity often appears to transcend governmental ...
  • Opatha, R. K; Peiris, Akila; Gamini, D. D. A.; Edirisuriya, Ananda; Athuraliya, C. D.; Jayasooriya, Isuru (2018-03)
    Recent advancements in computer vision and machine learning techniques have made traffic monitoring systems highly effective in well structured traffic conditions such as highways. But these systems struggle in handling ...
  • Athuraliya, C. D.; Ramasinghe, Sameera; Lokanathan, Sriganesh (2018-03)
    Research focuses on generating more usable built-up area maps, as traditional methods (such as surveys and census) are infrequent and costly. The work proposes a modified Fully Convolutional Network (FCN) architecture that ...
  • LIRNEasia (2018-03)
    Personal data must be protected against accidental destruction or loss, alteration, and unauthorized disclosure or access. This Code of Practice addresses issues related to the processing and uses of Mobile Network Big ...
  • Zaber, Moinul; Bhyiyan, Farhad; Sayeed, Abu; Islam, Samiul; Rakib, Nibras; Ali, Amin (2018-03)
    This case study attempts to provide a load forecasting model to help ascertain short-term electricity demand at the regional level in Bangladesh. To assist policy makers in determining how regulatory decisions impact ...
  • Madhawa, Kaushalya; Lokanathan, Sriganesh; Maldeniya, Danaja; Samarajiva, Rohan (LIRNEasia, Colombo, LK, 2015-07)
    The traditional way of generating insights on land use involve surveys and censuses, which are both infrequent as well as costly. This paper explores the potential of leveraging massive amounts of human mobile phone data ...
  • Madhawa, Kaushalya; Lokanathan, Sriganesh; Samarajiva, Rohan; Maldeniya, Danaja (LIRNEasia, Colombo, LK, 2015-07)
    Understanding the strength and boundaries of human connections can help identify communities amongst a population, and is valuable knowledge for modeling disease spread, information flow, and mobility patterns. Administrative ...
  • Samarajiva, Rohan (Wijeya Newspapers, 2015-09)
    Until recently, constraints of computer memory, retrieval, and processing limited the use of data to entities who could afford supercomputers. Since hardware and memory have declined in price and improved functionality and ...
  • Maldeniya, Danaja; Kumarage, Amal; Lokanathan, Sriganesh; Kreindler, Gabriel; Madhawa, Kaushalya (LIRNEasia, Colombo, LK, 2015-03)
    The paper discusses how output from mobility analysis based on mobile network big data (MNBD) can be aligned with the different stages of traditional forecasting frameworks familiar to transport planners and policy makers. ...