6th National Conference on Technology and Management [NCTM] 2017

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    Determinants of stock market index movements: Evidence from New Zealand stock market
    (Faculty of Graduate Studies and Research, 2017-01-27) Dassanayake, W.; Jayawardena, C.
    his study examines the impact of a selected macroeconomic variables on the New Zealand stock market(S&P/NZX 50) index. We use exchange rate, interest rate, inflation rate and foreign stock market index (S&P 500 index) to evaluate their influence on the New Zealand stock market (S&P/NZX 50) index. Daily data from January 2014 to September 2016 are evaluated. Unit root tests, cointegration tests, vector error correction model (VECM) and Granger causality test are employed to examine both long run and short run dynamic relationship between these variables. The study finds that there is no statistically significant long run causality from inflation rate, exchange rate, interest rate and S&P 500 index on the New Zealand stock market index. However, S&P 500 index has a strong significant short run Granger causality to the New Zealand stock market index.
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    E-GEO: Geography based E-learning system for sri lanka
    (Faculty of Graduate Studies and Research, 2017-01-26) Rajapaksha, P. H. A. S.; Wijenayake, G. K. S. V.; Diroshan, R.; Eranga Harshani, M. W.; Mallawaarachchi, Y.; Ishara, W. G. A.
    Geography is an enthralling subject and an additional qualification for day to day life of human beings. Because human beings are socialized and they are usually dealing with geographical related activities. As a person he needs to have a basic sense of where he lives and what is the surrounding environment of his living area. Therefore, to provide the basic geographical knowledge for these persons who are in any age category, standalone e-learning application is introduced as final year research. The E-GEO e-learning application which can be worked in totally offline environment consists of four main components in Map Marking and Validation, Cross Section Drawing Platform with Mountain Type Identifier, Virtual Tours and Speech Recognition and Generation with Geo Master. To accomplish with these features we have used different technologies and mechanisms respectively Geographical Information System (GIS) based Map Marking and Offline Validation, Image Processing, 3D Modeling and Natural Language Processing. The entire application based on e-learning concept called gamification to provide motivational environment for users and could work without internet connectivity. This e-learning application would be achieved high accuracy level at the end of the project duration.
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    A Parallel Version of the In-Close Algorithm
    (Faculty of Graduate Studies and Research, 2017-01-17) Kodagoda, N.; Andrews, S.; Pulasinghe, K.
    This research paper presents a new parallel algorithm for computing the formal concepts in a formal context. The proposed shared memory parallel algorithm Parallel-Task-In-Close3 parallelizes Andrews's In-Close3 serial algorithm. The paper presents the key parallelization strategy used and presents experimental results of the parallelization using the OpenMP framework
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    A wireless continuous patient monitoring system for dengue; Wi-Mon
    (Faculty of Graduate Studies and Research, 2017-01-26) Nubenthan, S.; Kanagasabapathy, R.
    The improvements in the wireless networking technologies and the integrated electronic circuits have allowed the advancement in the Wireless Body Area Network. WBAN offers many applications in remote health monitoring and medicine. IEEE 802.15.4j and IEEE 802.15.6 are standards for the medical WBAN. It allows the integration of intelligent and miniaturized sensor nodes in or on a human body to monitor the human body functions. It has great potential to make a huge transformation in the future of medical industry. The WBAN concept provides plentiful new innovative ideas to enhance the health care systems. The paper presents a wireless monitoring system for patients who need continuous monitoring, using WBAN concept. This wireless monitoring system contains sensor network and remote monitoring application. It contributes to collection of the vital information of the patients such as temperature, pulse rate, ECG (electrocardiogram), oxygen saturation and blood pressure. Moreover, the system also provides management of information collected from the sensors, alert the administration in severe condition of the patients. The design and implementation of system are discussed in this paper.