نتایج جستجو برای: data driven
تعداد نتایج: 2570067 فیلتر نتایج به سال:
Abstract The public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity comes from a diversity of sources. This kind known as big data. Public Administrations (PAs) pursue “new oil” implement data-centric policies to transform into knowledge, promote good governance, transparency, innovative digital services, citizens’ enga...
Functional data analysis is typically performed in two steps: first, functionally representing discrete observations, and then applying functional methods, such as the principal component analysis, to so-represented data. While initial choice of a representation may have significant impact on second phase this issue has not gained much attention past. Typically, rather ad hoc some standard basi...
A Dynamic Data Driven Application System (DDDAS) was created to study interaction between fire and agent models during a fire evacuation. The analysis from that research can be used to validate proposed ideas in evacuation and building designs to ensure safety of buildings given various agent behaviors. Two separate models were used to simulate the components of the emergency situation: fire an...
We describe three different dynamic data-driven applications systems (DDDAS): an empty house, a contaminant identification and tracking, and a wildland fire. Each has something in common with all of the rest and can use some common tools. Each DDDAS is quite complicated in comparison to a traditional static input simulation that is run with large numbers of inputs instead of one longer run that...
Due to ever-increasing uncertainty in the business environment, perceived knowledge quality has become an imperative, not an option, for innovativeness. Despite its growing recognition, few empirical studies have presented to the literature. This study addresses the understudied issue of what perceived knowledge quality is and how its substructures interact with one another. A model, including ...
We describe how we plan to convert a traditional data collection sensor and ocean model into a DDDAS enabled system for identifying contaminants and then reacting with different models, simulations, and sensing strategies in a symbiotic manner. The sensor is just as useful in water as it would be on Mars for material identification. A successful terrestrial application of the sensor will lead t...
The objective of this paper is to argue for an approach to the scholarship of teaching based on conceptions of learning and task representation. A case study based on learning to implement a data structure using test-driven development is presented to illustrate the issues. Documented phenomenographic investigations into concepts of programming are referenced to lay a foundation for future rese...
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