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OALib Journal期刊

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Cointegration Based Regression to Analyse Linkage between Share Price Index and Macroeconomic Variables: Evidence from Colombo Stock Exchange  [PDF]
Gayani Thalagoda, Kusal Rathnayake, Sachith Abeysundara
Open Access Library Journal (OALib Journal) , 2018, DOI: 10.4236/oalib.1104955
Abstract:
The main objective of the study is to investigate the long run performance of the All Share Price Index (ASPI) of the Colombo Stock Exchange, based on the economic activities of Sri Lanka using cointegration and auto regressive time series. The cointegration test illustrates that share price index is cointegrated with a specific set of macroeconomic variables, i.e. exchange rate (USD/LKR), money supply, wage rates, wet foreign assets, currency in circulation, imports and exports with 95% confidence. The study also proposes a regression model using Eigen Vector coefficients to predict the behavior of ASPI index in the long run. The model performance, evaluated using the residuals of the test data, represents a random behavior indicating a valid long-run cointegration regression relationship between ASPI and other macroeconomic variables. Future studies involve analysis of the short-run relationship among the macroeconomic variables using Vector Error Correlation Model.
Defects Detection of TFT Lines of Flat Panel Displays Using an Evolutionary Optimized Recurrent Neural Network  [PDF]
Hapu Arachchilage Abeysundara, Hiroshi Hamori, Takeshi Matsui, Masatoshi Sakawa
American Journal of Operations Research (AJOR) , 2014, DOI: 10.4236/ajor.2014.43011
Abstract:

This paper proposes an evolutionary optimized recurrent neural network for inspection of open/short defects on thin film transistor (TFT) lines of flat panel displays (FPD). The inspection is performed on digitized waveform data of voltage signals that are captured by a capacitor based non-contact sensor through scanning over TFT lines on the surface of mother glass of FPD. Irregular patterns on the waveform, sudden deep falls (open circuits) or sharp rises (short circuits), are classified and detected by employing the optimized recurrent neural network. The topology parameters of the recurrent neural network are optimized by a multiobjective evolutionary optimization process using a selected training data set. This method is an extension to our previous work, which utilized a feed-forward neural network, to address the drawbacks in it. Experimental results show that this method can detect defects on more realistic and noisy data than both of the previous method and the conventional threshold based method.

Continuum modelling and simulation of granular flows through their many phases
Sachith Dunatunga,Ken Kamrin
Physics , 2014, DOI: 10.1017/jfm.2015.383
Abstract: We propose and numerically implement a constitutive framework for granular media that allows the material to traverse through its many common phases during the flow process. When dense, the material is treated as a pressure sensitive elasto-viscoplastic solid obeying a yield criterion and a plastic flow rule given by the $\mu(I)$ inertial rheology of granular materials. When the free volume exceeds a critical level, the material is deemed to separate and is treated as disconnected, stress-free media. A Material Point Method (MPM) procedure is written for the simulation of this model and many demonstrations are provided in different geometries. By using the MPM framework, extremely large strains and nonlinear deformations, which are common in granular flows, are representable. The method is verified numerically and its physical predictions are validated against known results.
Pattern of physical growth during first six months of life among a cohort of babies living in Gampaha district, Sri Lanka  [PDF]
Priyantha Perera, Meranthi Fernando, Sachith Meththananda, Rohini Samaranayake
Health (Health) , 2013, DOI: 10.4236/health.2013.58A4004
Abstract:

Introduction: Current WHO recommendation is to continue exclusive breast feeding (EBF) up to six months. Main concern regarding this recommendation is, whether EBF supports rapidly growing infant with adequate nutrition. Methods: A cohort of randomly selected new-borns was followed up at two, four and six months, to study feeding pattern and physical growth. Feeding practices and socio-demographic data were collected using an interviewer administered questionnaire. Weight & length were measured using standard techniques. Results: EBF rates were very high in this cohort of children. One main reason to stop EBF was growth faltering. Only some children showed a catch up growth by stopping EBF. At two, four and six months, weight faltering rates among EBF babies were, 11.1%, 20.1% and 13.2% respectively. Length faltering had a similar pattern, but with a higher rate at all ages. Conclusions: EBF up to six months did not cause growth faltering in the majority. In the majority, no identifiable cause for growth faltering was found. Possible genetic influence on growth faltering was not considered when stopping EBF.

Accuracy of Measuring Axillary Temperature Using Mercury in Glass Thermometers in Children under Five Years: A Cross Sectional Observational Study  [PDF]
Priyantha Perera, Meranthi Fernando, Sachith Meththananda, Rohini Samaranayake
Health (Health) , 2014, DOI: 10.4236/health.2014.616245
Abstract: Background: Measuring axillary temperature with mercury in glass thermometers is continued in clinical practice though there are many limitations. This is mainly due to convenience and cost. This study was conducted to ascertain the accuracy of measuring axillary temperature with mercury thermometers in preschool children. Methods: Axillary temperature was measured in 250 preschool children using standardized mercury thermometers. Time taken to record the final temperature and its correlates were assessed. Results: Time taken to record the final temperature extended up to six minutes. This duration varied according to age, body mass index and body temperature, but a significant variation was noted only with age. Conclusions: Measuring axillary temperature with mercury thermometers is subjected to error. They need to be replaced with suitable alternatives.
Nail changes in systemic diseases : A clinical study of 435 cases
Abraham Sachith,Kamath Narendra,Pai Ganesh,Pinto Jerome
Indian Journal of Dermatology, Venereology and Leprology , 1998,
Abstract: Nail changes often are reflectors of an internal disease. Four hundred and thirty-five patients admitted in the Medical, Surgical and Obstetric and Gynaecology wards were studied. Nail changes were seen in 134 which included clubbing (21.3%) longitudinal melanonychia (17.2%) and platonychia (14.2%). In patients with HIV associated pulmonary tuberculosis, clubbing was associated with an unique red "crescent sign".
Analysis of Effects of Meteorological Factors on Dengue Incidence in Sri Lanka Using Time Series Data
Kensuke Goto, Balachandran Kumarendran, Sachith Mettananda, Deepa Gunasekara, Yoshito Fujii, Satoshi Kaneko
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0063717
Abstract: In tropical and subtropical regions of eastern and South-eastern Asia, dengue fever (DF) and dengue hemorrhagic fever (DHF) outbreaks occur frequently. Previous studies indicate an association between meteorological variables and dengue incidence using time series analyses. The impacts of meteorological changes can affect dengue outbreak. However, difficulties in collecting detailed time series data in developing countries have led to common use of monthly data in most previous studies. In addition, time series analyses are often limited to one area because of the difficulty in collecting meteorological and dengue incidence data in multiple areas. To gain better understanding, we examined the effects of meteorological factors on dengue incidence in three geographically distinct areas (Ratnapura, Colombo, and Anuradhapura) of Sri Lanka by time series analysis of weekly data. The weekly average maximum temperature and total rainfall and the total number of dengue cases from 2005 to 2011 (7 years) were used as time series data in this study. Subsequently, time series analyses were performed on the basis of ordinary least squares regression analysis followed by the vector autoregressive model (VAR). In conclusion, weekly average maximum temperatures and the weekly total rainfall did not significantly affect dengue incidence in three geographically different areas of Sri Lanka. However, the weekly total rainfall slightly influenced dengue incidence in the cities of Colombo and Anuradhapura.
Spin Jam: a quantum-fluctuation-induced glassy state of a frustrated magnet
Junjie Yang,Anjana Samarakoon,Sachith Dissanayake,Hiroaki Ueda,Israel Klich,Kazuki Iida,Daniel Pajerowski,Nicholas P. Butch,Q. Huang,John R. D. Copley,Seung-Hun Lee
Physics , 2015, DOI: 10.1073/pnas.1503126112
Abstract: Since the discovery of spin glasses in dilute magnetic systems, their study has been largely focused on understanding randomness and defects as the driving mechanism. The same paradigm has also been applied to explain glassy states found in dense frustrated systems. Recently, however, it has been theoretically suggested that different mechanisms, such as quantum fluctuations and topological features, may induce glassy states in defect-free spin systems, far from the conventional dilute limit. Here we report experimental evidence for the existence of a glassy state, that we call a spin jam, in the vicinity of the clean limit of a frustrated magnet, which is insensitive to a low concentration of defects. We have studied the effect of impurities on SrCr9pGa12-9pO19 (SCGO(p)), a highly frustrated magnet, in which the magnetic Cr3+ (s=3/2) ions form a quasi-two-dimensional triangular system of bi-pyramids. Our experimental data shows that as the nonmagnetic Ga3+ impurity concentration is changed, there are two distinct phases of glassiness: a distinct exotic glassy state, which we call a "spin jam", for high magnetic concentration region (p>0.8) and a cluster spin glass for lower magnetic concentration, (p<0.8). This observation indicates that a spin jam is a unique vantage point from which the class of glassy states in dense frustrated magnets can be understood.
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