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Research ArticleOpen accessIn the abstractAdvanced Manufacturing for Novel Materials in Industrial Design ApplicationsFrancesco Tamburrino, Antonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe research presented starts with a focus on Smart Materials, or rather materials with properties that react to external stimuli (temperature, electric or magnetic field, pH or mechanical stress, for example) related to the environmental changes, modifying one or some of their own properties (mechanical, electrical, appearance, etc.). Afterward, one category of Smart Materials, Shape Memory Alloys (SMAs), has been … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 30 May 2018 · 8,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Framework for Smart Irrigation using Machine Learning TechniqueS. Ramya, A.M. Swetha, Manivannan DoraipandianThe scarcity of freshwater around the world is becoming a serious issue, so there is a dire need to come up with a solution for effective utilization of water resources. Basically, agriculture depends on monsoon which is not a sufficient water source. The Internet of Things (IoT) and Machine Learning (ML) based smart irrigation system is employed in the field … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 9,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime-Temperature Dependency of Laminated Glass Subjected to Blast Load – A Numerical StudyMatthias FörchThe behavior of laminated glass has strong time-temperature dependency. Viscoelastic material models are often employed to define mechanical properties of Polyvinyl Butyral (PVB), the most common interlayer for structural glass applications. However, it is an apparent notion to simplify the high complexity of such material models, as only specific software is capable of considering this behavior. Most studies in blast … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 18 Mar 2020 · 7,676 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Various Approaches for Incorporating Contextual Information into Recommender SystemsQuang-Hung Le, Son-Lam Vu, Anh-Cuong LeRecommender systems are being widely applied in many fields, such as e-commerce, e-documents, places and travel, multimedia, news and advertising and transportation. These systems are similar to an information filtering system that helps to identify a set of items that best satisfy the users’ demands based on their preference profiles. The integration of contextual information (e.g., location, weather conditions and … …Journal of Computer Science, Vol. 18, Issue 3 · 28 Mar 2022 · 6,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuilding Resilience in Natural Capital to Reduce Disaster Risks and Adapt to Climate Change: A Case of Wetlands in the Eastern Free State; South AfricaJohanes A. Belle, Nacelle Collins, Andries JordaanWetlands are a form of natural capital which provide services that improve the welbeing of the local community. Unfortunately many wetlands have been degraded before their values and functions were realised. Using a system thing appraoach and a mixed research method, this article collected primary data from 176 respondents using questionnaires. Besides, 21 wetlands were observed using field observation data … …American Journal of Environmental Sciences, Vol. 13, Issue 5 · 12 Oct 2017 · 7,972 accessesView PDFCite
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
Research ArticleOpen accessIn the abstractDetermination of Breeding Seasonality in Rusa Deer (Rusa timorensis) Stags via Serum Testosterone ProfilingWan Nor Fitri Wan Jaafar, Abd Wahid Haron, Rosnina Hj Yusoff et al.Breeding seasonality in mammals is influenced by the environmental changes and the endocrine response of the animals to that changes. Comprehension in breeding seasonality enables better reproductive management consequently maximizing the reproductive potential of the stags. Despite that, the study in breeding seasonality in Rusa deer (Rusa timorensis) is still scarce. Five healthy and matured stags were selected for this … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 1 · 19 Mar 2017 · 8,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Modelling of Botswana’s Monthly Maximum Wind Speed using a Four-Parameter Kappa DistributionOliver Moses, Bhagabat Prasad ParidaWind speed modelling has been key to many environmental and engineering applications, particularly in environmentally friendly wind power generation to meet energy demands. Efficient assessment of wind speed at different recurrence intervals requires the choice of a suitable statistical distribution and an unbiased method of parameter estimation. This study suggests the use of a four parameter Kappa distribution, with its … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 22 Jun 2016 · 7,546 accessesView PDFCite
InvestigationOpen accessIn the abstractBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,705 accessesView PDFCite
Research ArticleOpen accessIn the abstractObservational Study of Wind Shear in Northeastern BrazilFernando R. Martins, André R. Gonçalves, Enio B. PereiraThe wind energy share is growing fast in Brazil and a better understanding of wind speed vertical profiles is essential for accurate power density estimates. The wind shear is highly variable in space and time, being influenced by surface layer stability. Studies concerning wind vertical profiles may have a significant contribution to the Brazilian energy sector. However, wind observational data … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 12 Mar 2016 · 8,213 accessesView PDFCite