Research ArticleOpen accessIn the abstractClimate Projections of Future Extreme Events in MalaysiaA.H. Syafrina, M.D. Zalina, A. NorzaidaIn Malaysia, extreme rainfall events are often linked to a number of environmental disasters such as landslides, monsoonal and flash floods. In response to the negative impacts of such disaster, studies assessing the changes and projections of extreme rainfall are vital in order to gather climate change information for better management of hydrological processes. This study investigates the changes and … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 21 Mar 2017 · 8,253 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemi Active Tuned Mass Dampers of Buildings: A Simple Control OptionDemetris Demetriou, Nikolaos Nikitas, Konstantinos Daniel TsavdaridisThe present study investigates the effectiveness of a Proportional-Integral-Derivative (PID) controlled Variable Damping Semi-Active Tuned Mass Damper (VD-STMD) on reducing the vibration response of an earthquake excited multi-storey structure. The effectiveness of the controlled system is evaluated by comparing the structure’s overall dynamic behavior against that of an equivalent similar structure equipped with a conventional optimally designed passive Tuned Mass … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 30 Oct 2015 · 9,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractWireless Sensor Networks Fault Identification Using Data AssociationT. Abirami Kongu, P. Thangaraj, P. Priakanth KonguProblem statement: Wireless Sensor Networks (WSN) are formed by thousands of lightweight nodes equipped with transducers for capturing information. The captured data are transmitted using multi hop routes to a base station, also called a sink. They can be extensively deployed during emergency response, medical monitoring and missiion critical applications requiring extensive data capture from sensors.Wireless sensor network applications include … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Process Parameters on Electrical Discharge Machined Job Surface IntegrityA.K.M. Asif Iqbal, Ahsan Ali KhanProblem statement: Electrical Discharge Machining (EDM) is the most widely used non conventional machining process for removing material from workpiece by means of a series of repeated electric discharges. Electrical Discharge milling (ED-milling) is an emerging technology where a cylindrical tool electrode follows a programmed path in order to obtain the desired shape of a part. During machining of metals … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractProviding Reliability in Replicated Middleware ApplicationsR. Saravanan, N. RamarajProblem statement: Data inconsistency is raised in actively replicated environment due to non-determinism in the applications that defeats the purpose of replication as a fault-tolerance strategy. Approach: We proposed an efficient framework RTC which ensured determinism among the replicas in fault tolerance middleware applications. This method exploits the technique of statically analyzing the application source code of client and identifies … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 8,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial-Temporal Yield Trend of Oil Palm as Influenced by Nitrogen Fertilizer ManagementAbdul Rahim Anuar, Kah Joh Goh, Tee Bee Heoh, Osumanu Haruna AhmedOne of the major challenges in oil palm (Elaeis guineensis Jacq.) plantations today is proper interpretation of yield maps for site-specific management and identification and understanding of the causal factors influencing the variability of oil palm yields. A study was conducted to examine the structural yield variation in order to assess the spatial and temporal yield trends so as to … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Rainfall-runoff Models to Zard River Catchment'sM. B. Rahnama, G. A. BaraniRainfall-runoff models are nonlinear processes according to the sequential and spatial distribution of the rainfall. So, it is difficult to explain the response of catchments systems with the simple models. In the present work simulation of the rainfall-runoff processes have been carried out by the Artificial Neural Networks (ANN) and the HEC-HMS models. The ANN models of Multi Layer Perceptron … …American Journal of Environmental Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 6,528 accessesView PDFCite