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We consider the minimization of a function defined on a Riemannian manifold M accessible only through unbiased estimates of its gradients. We develop a geometric framework to transform a sequence of slowly converging iterates generated from stochastic gradi ...
Based mainly on sensors, flow optimization and algorithms, the smart city model has revealed its limits. The city’s smart citizens are scarcely included in the planning process, even though they occupy a key position to produce and share valuable knowledge ...
Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among the ...
8th International Conference on Educational Data Mining, EDM 20152015
Throttle surge tanks are a part of high head powerplants. The main consequence of a throttle placement is to introduce head losses by accelerating the flow. They make it possible to manage extreme water levels during mass oscillations while increasing wate ...
The increasing adoption of Social Intranets and other social technologies in organizations are transforming how people work together, share knowledge and learn. This, however, does not come without challenges since the impacts can be heterogeneous: employe ...
2016
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Building on the research on the industrial potential of digital fabrication technologies commenced by the late University of Melbourne academic, Professor Bharat Dave, this paper explores actual patterns of technological adoption within communities of prac ...
The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)2016
Based mainly on sensors, flow optimization and algorithms, the smart city model has revealed its limits. The city’s smart citizens are scarcely included in the planning process, even though they occupy a key position to produce and share valuable knowledge ...
2017
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Knowledge modelling at industrial level consists an importunate activity nowadays due to the ceaseless advances in technologies and standards applied as well as the extensive amount of unrelated real-time and historical data at shop-floor level. A Common I ...
The idea of iterative process optimization based on collected output measurements, or "real-time optimization" (RTO), has gained much prominence in recent decades, with many RTO algorithms being proposed, researched, and developed. While the essential goal ...
Measuring the Time delay of Arrival (TDOA) between a set of sensors is the basic setup for many applications, such as localization or signal beamforming. This paper presents the set of TDOA matrices, which are built from noise-free TDOA measurements, not r ...
Institute of Electrical and Electronics Engineers2015
