Searched for: subject%3A%22estimation%22
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Mohammadkarimi, M. (author), Leus, G.J.T. (author), Rajan, R.T. (author)
A new method for joint ranging and Phase Offset (PO) estimation of multiple drones/aircrafts is proposed in this paper. The proposed method employs the superimposed uncoordinated Automatic Dependent Surveillance-Broadcast (ADS-B) packets broadcasted by drones/aircrafts for joint range and PO estimation. It jointly estimates range and PO prior...
journal article 2024
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Dash, T.K. (author), Driessen, J.N. (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)
The problem of the limited accuracy of precipitation Doppler spectrum moments estimation measured by fast azimuthally scanning weather radars is addressed. A novel approach for the Doppler moment estimation based on maximum likelihood estimation is proposed. A simplified semianalytical parametric model for the precipitation power spectral...
journal article 2024
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Vakili, S. (author), Khosravi, M. (author), Mohajerin Esfahani, P. (author), Mazo, M. (author)
We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process uncertainty, respectively. Employing a stochastic model as prior knowledge for the parameters of the unknown output map, we reconstruct their estimates...
journal article 2024
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Lu, C.J. (author)
Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to infer occupant information in buildings with the advantages of fewer privacy concerns and fewer extra device costs. Recently, many deep learning architectures have proven effective in estimating occupancy directly from raw sensor data. However, some...
journal article 2024
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Paldino, Gian Marco (author), De Caro, Fabrizio (author), De Stefani, J. (author), Vaccaro, Alfredo (author), Bontempi, Gianluca (author)
Dynamic Thermal Rating (DTR) enhances grid flexibility by adapting line capabilities to weather conditions. For this purpose, DTR-based technologies require reliable and continuous measurement of the conductor temperature along the line route, which could hinder their wide-scale deployment due to the prohibitively high number of required...
journal article 2024
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Glab, K. (author), Wehrmeyer, G. (author), Thewes, M. (author), Broere, W. (author)
Designing the main drive motor capacity of Earth Pressure Balanced Tunnel Boring Machines (EPB TBMs) is a crucial task for every EPB tunnelling project. The machine needs to be equipped with sufficient power to master the geotechnical conditions of the respective project. On the other hand, overpowering the machine should be avoided for...
journal article 2024
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Négyesi, B. (author), Andersson, Kristoffer (author), Oosterlee, Cornelis W. (author)
A novel discretization is presented for decoupled forward–backward stochastic differential equations (FBSDE) with differentiable coefficients, simultaneously solving the BSDE and its Malliavin sensitivity problem. The control process is estimated by the corresponding linear BSDE driving the trajectories of the Malliavin derivatives of the...
journal article 2024
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Zhu, J. (author), Gienger, Michael (author), Franzese, G. (author), Kober, J. (author)
Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most robotics dressing strategies considered a single robot only, which greatly limited the performance of the dressing assistance. In fact, healthcare professionals...
journal article 2024
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Pengel, A.L. (author), Bierkens, G.N.J.C. (author)
Strong invariance principles describe the error term of a Brownian approximation to the partial sums of a stochastic process. While these strong approximation results have many applications, results for continuous-time settings have been limited. In this paper, we obtain strong invariance principles for a broad class of ergodic Markov...
journal article 2024
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Yan, Dong (author), Gugushvili, Shota (author), van der Vaart, A.W. (author)
We obtain rates of contraction of posterior distributions in inverse problems with discrete observations. In a general setting of smoothness scales we derive abstract results for general priors, with contraction rates determined by discrete Galerkin approximation. The rate depends on the amount of prior concentration near the true function...
journal article 2024
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Qin, Guojin (author), Li, Ruiling (author), Yang, M. (author), Wang, Bohong (author), Ni, Pingan (author), Wang, Yihuan (author)
The estimation of failure probability is challenging in hydrogen embrittlement in steel pipelines due to the complexity of the synergistic effect of multiple factors. The present study proposed a hybrid methodology to estimate the failure probability of steel pipelines due to hydrogen embrittlement. The methodology integrates the fault tree...
journal article 2024
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Zhang, D. (author), Wang, Zhenpo (author), Liu, Peng (author), She, Chengqi (author), Wang, Qiushi (author), Zhou, Litao (author), Qin, Z. (author)
Accurately evaluating battery degradation is not only crucial for ensuring the safe and reliable operation of electric vehicles (EVs) but also fundamental for their intelligent management and maximum utilization. However, the non-linearity, non-measurability, and multi-stress coupled operating conditions have posed significant challenges for...
journal article 2024
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Sauerbrey, M. (author)
We construct solutions to the stochastic thin-film equation with quadratic mobility and Stratonovich gradient noise in the physically relevant dimension d = 2 and allow in particular for solutions with non-full support. The construction relies on a Trotter–Kato time-splitting scheme, which was recently employed in d = 1. The additional...
journal article 2024
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van Bemmelen, J. (author), Smyth, Davida S. (author), Baaijens, J.A. (author)
Background: Metagenomic profiling algorithms commonly rely on genomic differences between lineages, strains, or species to infer the relative abundances of sequences present in a sample. This observation plays an important role in the analysis of diverse microbial communities, where targeted sequencing of 16S and 18S rRNA, both well-known...
journal article 2024
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Boskos, D. (author), Cortes, Jorge (author), Martinez, Sonia (author)
This paper builds Wasserstein ambiguity sets for the unknown probability distribution of dynamic random variables leveraging noisy partial-state observations. The constructed ambiguity sets contain the true distribution of the data with quantifiable probability and can be exploited to formulate robust stochastic optimization problems with out...
journal article 2024
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Xia, Z. (author), Booij, O. (author), Kooij, J.F.P. (author)
We propose a novel end-to-end method for cross-view pose estimation. Given a ground-level query image and an aerial image that covers the query's local neighborhood, the 3 Degrees-of-Freedom camera pose of the query is estimated by matching its image descriptor to descriptors of local regions within the aerial image. The...
journal article 2024
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González, Rodrigo A. (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones where displacement is tracked using incremental encoders, are driven by signals that are only measured when...
journal article 2024
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Zeng, Y. (author), Nunez, Alfredo (author), Li, Z. (author)
A transfer function (TF) is an effective representation of the load-response relationship of railway track structures. To fill the gap in measuring track structure TFs over a wide frequency range from a moving vehicle, we develop a TF measurement system and the associated TF estimation methodology. Accelerometers are utilized to estimate the...
journal article 2024
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Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)
Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies among the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are created...
journal article 2023
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Bodnar, Taras (author), Parolya, N. (author), Thorsén, Erik (author)
The main contribution of this paper is the derivation of the asymptotic behavior of the out-of-sample variance, the out-of-sample relative loss, and of their empirical counterparts in the high-dimensional setting, i.e., when both ratios p/n and p/m tend to some positive constants as m→∞ and n→∞, where p is the portfolio dimension, while n and...
journal article 2023
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