Results 21 to 30 of about 26,722,291 (305)
Data-driven trajectory smoothing [PDF]
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011 Motivated by the increasing availability of large collections of noisy GPS traces, we present a new data-driven framework for smoothing trajectory data. The framework, which can be viewed of as a generalization of the classical moving average technique, naturally leads to efficient algorithms for various smoothing objectives.
Chazal, Frédéric +4 more
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Data-Driven Predictive Maintenance
IEEE Intelligent Systems, 2022 With the growth of 5G networks, the Internet-of-Things is becoming a reality. The advances in networking, machine learning, data analytics, and robotics largely improve industrial processes. Industry 4.0 is a term for the fourth industrial revolution: the digitization and automation of manufacturing [1].
João Gama 0001 +2 more
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Data-driven gamification design [PDF]
Proceedings of the 21st International Academic Mindtrek Conference, 2017 Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimization, e.
Michael Meder +3 more
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IEEE Access, 2018 In this paper, a barrier Lyapunov function (BLF)-based backstepping control design is proposed for uncertain rigid spacecraft with both input and output constraints.
Zhongtian Chen +3 more
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Data-Driven Problems in Elasticity [PDF]
Archive for Rational Mechanics and Analysis, 2018 Result now covers the two well problem in full generality. Proof simplified.
Conti, S., Müller, S., Ortiz, M.
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Data-driven interactive quadrangulation
ACM Transactions on Graphics, 2015 We propose an interactive quadrangulation method based on a large collection of patterns that are learned from models manually designed by artists. The patterns are distilled into compact quadrangulation rules and stored in a database. At run-time, the user draws strokes to define patches and desired edge flows, and the system queries the database to ...
Giorgio Marcias +6 more
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Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys
Applied Sciences, 2022 The avoidance of scrap and the adherence to tolerances is an important goal in manufacturing. This requires a good engineering understanding of the underlying process. To achieve this, real physical experiments can be conducted.
Johannes G. Hoffer +2 more
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A data-driven reflectance model [PDF]
ACM SIGGRAPH 2003 Papers, 2003 We present a generative model for isotropic bidirectional reflectance distribution functions (BRDFs) based on acquired reflectance data. Instead of using analytical reflectance models, we represent each BRDF as a dense set of measurements. This allows us to interpolate and extrapolate in the space of acquired BRDFs to create new BRDFs.
Matusik, Wojciech +3 more
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Complexity, 2018 In this paper, an adaptive finite-time fault-tolerant control scheme is proposed for the attitude stabilization of rigid spacecrafts. A first-order command filter is presented at the second step of the backstepping design to approximate the derivative of
Zhongtian Chen +3 more
doaj +1 more source
Self-supervised optimization of random material microstructures in the small-data regime
npj Computational Materials, 2022 While the forward and backward modeling of the process-structure-property chain has received a lot of attention from the materials’ community, fewer efforts have taken into consideration uncertainties.
Maximilian Rixner +1 more
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