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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
A Web Based Water Resources Analysis Portal For Occoquan Watershed, Saurav Kumar, Adil Godrej, Thomas Grizzard, Harold Post, Justin Bartlett
A Web Based Water Resources Analysis Portal For Occoquan Watershed, Saurav Kumar, Adil Godrej, Thomas Grizzard, Harold Post, Justin Bartlett
International Conference on Hydroinformatics
In most of the developed world, water resources data, including both water quality and quantity, has been collected for decades. Such datasets are often used to calibrate water resources models that in turn are capable of producing large amounts of data useful for activities such as forecasting and risk analysis. Like many other domains (e.g., finance, marketing, etc.), significant education, extension, and policy making benefits may be had by building data analytics tools to derive knowledge from these datasets. The knowledge thus available may be turned into intelligence by policy makers and may also be used to enhance environmental education …
Reducing Carbon Emission Of Ocean Shipments By Optimizing Container Size Selection, Edwin Lik Ming Chong, Nang Laik Ma, Kar Way Tan
Reducing Carbon Emission Of Ocean Shipments By Optimizing Container Size Selection, Edwin Lik Ming Chong, Nang Laik Ma, Kar Way Tan
Research Collection School Of Computing and Information Systems
Human’s impact on earth through global warming is more or less an accepted fact. Ocean freight is estimated to contribute 4-5% of global carbon emissions and manufacturing companies can aid in reducing this amount. Many companies that ship goods through full container loads do not have the capabilities to ensure the containers they are using minimizes their carbon footprint. One of the reasons is the choice of non-ideal container sizes for their shipments. This paper provides a mathematical model to minimize companies’ shipping carbon footprints by selecting the ideal container sizes appropriate for their shipment volumes. Using data from a …
Systems For Delivering Electric Vehicle Data Analytics, Vamshi Krishna Bolly
Systems For Delivering Electric Vehicle Data Analytics, Vamshi Krishna Bolly
Open Access Theses
n the recent times, advances in scientific research related to electric vehicles led to generation of large amounts of data. This data is majorly logger data collected from various sensors in the vehicle. It is predominantly unstructured and non-relational in nature, also called Big Data. Analysis of such data needs a high performance information technology infrastructure that provides superior computational efficiency and storage capacity. It should be scalable to accommodate the growing data and ensure its security over a network. This research proposes an architecture built over Hadoop to effectively support distributed data management over a network for real-time data …
Understanding The Paradigm Shift To Computational Social Science In The Presence Of Big Data, Ray M. Chang, Robert J. Kauffman, Young Ok Kwon
Understanding The Paradigm Shift To Computational Social Science In The Presence Of Big Data, Ray M. Chang, Robert J. Kauffman, Young Ok Kwon
Research Collection School Of Computing and Information Systems
The era of big data has created new opportunities for researchers to achieve high relevance and impact amid changes and transformations in how we study social science phenomena. With the emergence of new data collection technologies, advanced data mining and analytics support, there seems to be fundamental changes that are occurring with the research questions we can ask, and the research methods we can apply. The contexts include social networks and blogs, political discourse, corporate announcements, digital journalism, mobile telephony, home entertainment, online gaming, financial services, online shopping, social advertising, and social commerce. The changing costs of data collection and …
New A*Star-Smu Centre Combines High-Powered Computing And Behavioural Sciences To Study People-Centric Issues, Singapore Management University
New A*Star-Smu Centre Combines High-Powered Computing And Behavioural Sciences To Study People-Centric Issues, Singapore Management University
SMU Press Releases
The Agency for Science, Technology and Research (A*STAR) and the Singapore Management University (SMU) will establish a Centre for Technology and Social-Behavioural Insights (CTSBI) to tap on high performance computing technology, big data analytics and behavioural sciences to study people-centric issues and human behaviour including how people think, feel and act in different settings. Such information can be used to enhance planning and address issues in different areas such as retail, logistics, urban planning, education and community development.
Canaries In The Urban Data Mine: Analytics For Smarter City Life, Robert J. Kauffman
Canaries In The Urban Data Mine: Analytics For Smarter City Life, Robert J. Kauffman
Research Collection School Of Computing and Information Systems
Technology-based sensors and data analytics have created unprecendented levels of informedness for consumers, corporations, the public and government agencies. The information they generated provides a basis for smarter cities and more sustainable urban living.