ERU - 2018

Permanent URI for this collectionhttp://192.248.9.226/handle/123/19527

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Now showing 1 - 6 of 6
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    item: Conference-Abstract
    Applicability of environmental and physical planning laws to the construction industry in Sri Lanka
    (2018-05) Rathnasinghe, IP; Wijeivickrama, MKCS; Abeynayake, M; Narayana, M; Chathuranga, D
    The development of construction industry should be aligned within the legal boundaries of a country. Generally, complications in the environmental and physical planning directly impact the construction activities and triggered to disputes and conflicts. Thus, the legal considerations related to Environmental and Physical Planning Laws may directly affect the construction industry. Henceforth, this research aims to evaluate the applicability of Environmental and Physical Planning Law to the construc-tion industry in Sri Lanka. Accordingly, the mixed research ap-proach was selected by steering both questionnaire survey and experts' opinion survey. The findings reveal that some aspects of the existing Environmental and Physical Planning Law areas should be amended in order to meet current industry challenges. Moreover, there are some provisions in the existing law which have failed due to the improper implementation process. Therefore, the research manifests that the aforementioned laws should be properly monitored and amended according to the industry requirements.
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    item: Conference-Abstract
    Product attribute extraction based real-time c2c matching of microblogging messages.
    (2018-05) Mohamed Rilji, MR; Bandara, HMND; Ranathunga, S; Narayana, M; Chathuranga, D
    We describe a solution for real-time matching of microblogging messages related to product selling or buying. C2C buy/sell interest matching in real time is nontrivial due to the complexities of interpreting social media messages, number of messages, and diversity of products/services. Therefore, we adopt a combination of techniques from natural language processing, complex event processing, and distributed systems. First, we convert the message into semantics using named-entity recognition with CRF and Logistic Regression. Then the extracted data are matched using a complex event processor. Moreover, NoSQL and inmemory computing are used to enhance the scalability and performance. The proposed solution shows a high accuracy where classification and CRF models recorded an accuracy of 98.5% and 82.07% when applied to a real-world dataset. Low latency was observed for information extraction, in-memory data manipulation, and complex event processing were latencies were 0.5 ms, 5 ms, and 3.6 ms, respectively.
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    item: Conference-Abstract
    Epoxy resin nano-composites as high voltage insulating material
    (2018-05) Kanmarathna, BPM; Cliitliradewa, DVK; Kumara, HS; Weerasekara, CS; Rathnayuke, T; Samarasinghe, R; Narayana, M; Chathuranga, D
    In recent years there has been an increasing interest in Nano Dielectrics. By incorporating a fewpercent of nanoparticles into a host resin, it is possible to achieve drastically improved electrical and mechanical properties. This paper studies the use of Nano technology to improve the electrical properties of epoxy resin composites used as high voltage insulating material. Different combinations of epoxy resin Nanocomposites will be fabricated in order to test the electrical characteristics of the new material to test the suitability of using the fabricated materials in high voltage insulations. Base resin material is ‘CYCLOALIPHATIC' resins (Epon828). Hardener for the epoxy resin is ‘Curing Agent 3388'. Main Nano particle that are used for fabricating are ‘Silicon Dioxide (Si02)\ Material fabrication is done by concentrating Nano particles to epoxy resin such that w/w concentration of the Nano particles in the medium. After fabricating the Nanocomposite, those samples test for measuring dielectric strength according to ASTM D-149 standards that is related to dielectric breakdown standards for solid.
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    item: Conference-Abstract
    Condition monitoring system for outdoor insulators
    (2018-05) Karunarathna, IMAM; Karunathilaka, KTL; Wanasinghe, WMHM; Sampath, GKL; Lucas, JR; Samarasinghe, R; Narayana, M; Chathuranga, D
    High Voltage insulators are vital components in transmission and distribution systems in a power network. Most of the insulators are used in open air applications where they are subjected to different environment conditions. Exposure to these different weather conditions and contaminations determine their performance as insulators. Condition monitoring ot power line insulators is an important requirement for asset management engineers in a power network in order to maintain a healthy power system. There are several techniques that have been introduced to fulfil this requirement. One ot the techniques ot measuring surface leakage current is introduced here. This paper highlights the concepts of measuring surface leakage current for insulators under contaminated conditions. Results show that the surface leakage current is closely related to the insulator condition.
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    item: Conference-Abstract
    Passenger perception on airline service quality
    (2018-05) Kodagoda, D; Fernando, A; Narayana, M; Chathuranga, D
    Air transport industry is classified under intangible service industries and it is growing service industry within the globe. Airline passengers are highly sensitive towards the cost as well as the service quality offered by the airline. Customer satisfaction has been a subject of great interest to every service oriented organization. Airline can recognize their competitive position by understanding passenger perceptions of various insights. Therefore it is important to know about all quality related aspects in airline industry. In this research, passenger perceptions of airline choice factors and buying behavior for different segments of air passengers are explored. Three factors were identified as influence factors for airline service quality namely airline quality, aircraft quality and cabin crew quality.
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    item: Conference-Abstract
    R(P)Aban: A Software Process for Robotic Process Automation Projects
    (2018-05) Padmini, KVJ; De Silva, O; Bandara, HMND; Perera, GIUS; Asanka, N; Narayana, M; Chathuranga, D
    Advancement of the software industry and artificial intelligence made the way to Robotic Process Automation (RPA). Business processes with structured, rule-based and repetitive tasks that produce definitive outputs are candidates for automation using RPA. RPA improves accuracy and productivity while reducing cost. However, still the industry fails to identify a suitable RPA delivery approach and 30% - 50% of the RPA projects fail due to unmatched delivery approach. In this paper, we propose an RPA delivery approach named R(P)Aban. R(P)Aban is derived based on an extensive study of RPA implementations by a multinational, service-based organization. We identified the best fit RPA delivery approaches based on a set of interviews with the RPA implementation teams. The proposed framework could be used to eliminate RPA project failures, as well as improve the project performance while reducing the cost.