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Observability-Aware Trajectory Optimization: Theory, Viability, and State of the Art [article]

Christopher Grebe, Emmett Wise, Jonathan Kelly
2021 arXiv   pre-print
For evaluation, we examine the representative task of sensor-to-sensor extrinsic self-calibration using a realistic physics simulator.  ...  In this paper, we compare two state-of-the-art methods for observability-aware trajectory optimization and seek to add important theoretical clarifications and valuable discussion about their overall effectiveness  ...  We use the notation R(q ab ) for the operator that converts the unit quaternion q ab to the respective SO(3) rotation matrix.  ... 
arXiv:2109.09007v1 fatcat:fr2tq3mltfbvbkczahfxk3f4nm

Question Calibration and Multi-Hop Modeling for Temporal Question Answering [article]

Chao Xue, Di Liang, Pengfei Wang, Jing Zhang
2024 arXiv   pre-print
Many models that leverage knowledge graphs (KGs) have recently demonstrated remarkable success in question answering (QA) tasks.  ...  To alleviate this problem, we propose a novel Question Calibration and Multi-Hop Modeling (QC-MHM) approach.  ...  Concretely, for a given question, we first select the relevant knowledge (i.e., Subject-Predicate-Object (abbr. SPO)) of the entity in the question from TKGs.  ... 
arXiv:2402.13188v1 fatcat:4s3evmjjsvh23dpq2vygk4tv2m

Simulation-based Optimization and Sensibility Analysis of MPI Applications: Variability Matters [article]

Tom Cornebize
2022 arXiv   pre-print
Havinginexpensive but faithful predictions of expected performance could bea great help for researchers and system administrators.  ...  Last, we show (3) how our "surrogate" allowsstudying several subtle HPL parameter optimization problems whileaccounting for uncertainty on the platform.  ...  Last, we warmly thank the SimGrid developers for their help in integrating our contributions and for their early feedback on this work before submission.  ... 
arXiv:2102.07674v2 fatcat:5loj3bmom5djfpm7uib73n552i

2021 Index IEEE Transactions on Knowledge and Data Engineering Vol. 33

2022 IEEE Transactions on Knowledge and Data Engineering  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TKDE Sept. 2021 3199-3211 Medical computing EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction.  ...  Zhao, K., +, TKDE June 2021 2723-2736 Educational computing EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. Liu, Q., +, TKDE Jan. 2021 100-115 mendation.  ... 
doi:10.1109/tkde.2021.3128365 fatcat:4m5kefreyrbhpb3lhzvgqzm3qu

Understanding radio polarimetry

J. P. Hamaker
2000 Astronomy and Astrophysics Supplement Series  
Like scalar selfcal, matrix self-alignment is shown to suppress spatial scattering of brightness in the image, which is a condition for attaining high dynamic range.  ...  It exploits the analogy between scalar and matrix algebras to reformulate the self-calibration method in terms of 2×2 Jones and coherency matrices.  ...  The effect is not directly relevant here, but it should not be forgotten.  ... 
doi:10.1051/aas:2000337 fatcat:twqtzpmxzngwnbcm4rw3njx2vq

Contrastive Learning for Knowledge Tracing

Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park
2022 Proceedings of the ACM Web Conference 2022  
This paper introduces a contrastive learning framework for knowledge tracing that reveals semantically similar or dissimilar examples of a learning history and stimulates to learn their relationships.  ...  Knowledge tracing is the task of understanding student's knowledge acquisition processes by estimating whether to solve the next question correctly or not.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their valuable comments and helpful suggestions.  ... 
doi:10.1145/3485447.3512105 fatcat:aoagt5sfsnbwpcbthigzztu6ba

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration [article]

Jianhao Jiao, Haoyang Ye, Yilong Zhu, Ming Liu
2021 arXiv   pre-print
Combining multiple LiDARs enables a robot to maximize its perceptual awareness of environments and obtain sufficient measurements, which is promising for simultaneous localization and mapping (SLAM).  ...  This paper proposes a system to achieve robust and simultaneous extrinsic calibration, odometry, and mapping for multiple LiDARs.  ...  They would also like to thank the editors and anonymous reviewers of IEEE TRO for their suggestions, which led us to improve this article.  ... 
arXiv:2010.14294v2 fatcat:xeaus6kdmvggpdta6dvfodl4xu

Capabilities of femtosecond laser ablation ICP-MS for the major, minor, and trace element analysis of high alloyed steels and super alloys

Helmar Wiltsche, Detlef Günther
2011 Analytical and Bioanalytical Chemistry  
The determined concentrations for major and minor elements indicate that the total matrix internal standardization (100 wt.%) is applicable, which requires no knowledge about the steel samples prior to  ...  Calibration with matrix-matched and non-matrixmatched standards provided similar agreement within the uncertainty of the certified values.  ...  Several publications describe the use of Q-switched Nd:YAG lasers for the analysis of minor and trace elements in metallurgical samples [14, 15] .  ... 
doi:10.1007/s00216-010-4605-8 pmid:21221547 fatcat:wifaxrwup5difnyvpk7aei5qgq

Observability-Aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation

Thomas Schneider, Mingyang Li, Cesar Cadena, Juan Nieto, Roland Siegwart
2019 IEEE Sensors Journal  
parts from a dataset for calibration purposes.  ...  External effects such as shocks and temperature variations affect the calibration of visual-inertial sensor systems and thus they cannot fully rely on factory calibrations.  ...  ACKNOWLEDGEMENTS We would like to thank Konstantine Tsotsos, Michael Burri and Igor Gilitschenski for the valuable discussions and inputs. This work was partially funded by Google's Project Tango.  ... 
doi:10.1109/jsen.2019.2893809 fatcat:6dfr237fubgoffzbhymuyfwnqm

Uncertainty-Aware DNN for Multi-Modal Camera Localization [article]

Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti
2023 arXiv   pre-print
We propose to exploit CMRNet, a DNN approach for multi-modal image to LiDAR map registration, by modifying its internal configuration to allow for extensive experimental activity on the KITTI dataset.  ...  ., y = x) and the observed calibration, for each confidence interval. Furthermore, in Fig. 3 we show the calibration curves of the most relevant pose parameters.  ...  For both translation and rotation, we compute the trace of the covariance matrix and compare them to a threshold that allows us to discard predictions with large uncertainty.  ... 
arXiv:2211.01234v2 fatcat:egsbashenbedremolh6rwxdrr4

Performance study of multiuser interference mitigation schemes for hybrid broadband multibeam satellite architectures

Jesús Arnau, Bertrand Devillers, Carlos Mosquera, Ana Pérez-Neira
2012 EURASIP Journal on Wireless Communications and Networking  
those cases for which the number of radiating elements is higher than the number of user beams.  ...  As the demand for higher throughput satellites increases, multibeam architectures with smaller beam spots are becoming common place.  ...  We are also in debt with Riccardo de Gaudenzi for his valuable comments. Research supported by ESA contract 23089/10/NL/CLP "SatNEx Network of Experts", the European Regional Development  ... 
doi:10.1186/1687-1499-2012-132 fatcat:x2k3qocanraz5ji7iuswtp3ciy

Interplay between Habit Plane and Orientation Relationship in an Electron Backscatter Diffraction Analysis: Using the Example of η′-Al8Fe3 in η-Al5Fe2

Hanka Becker, Ralf Hielscher, Andreas Leineweber
2022 Crystals  
These habit planes have been determined based on their traces measured for differently oriented η containing the η′ plates, applying different methods.  ...  In the present work, the microstructural characteristics of the plate-shaped η′-Al8Fe3 phase regions in a η‴/η-phase matrix were investigated, determining the habit planes from two-dimensional electron  ...  Hence, a profound knowledge of the microstructures developing in Al5Fe2 upon ordering is strived for.  ... 
doi:10.3390/cryst12060813 fatcat:pbbmvkj5jjgoblv23b3mkr2asm

Nanocartography: Planning for success in analytical electron microscopy [article]

Matthew Olszta, Kevin Fiedler
2022 arXiv   pre-print
PNNL is a multiprogram national laboratory operated by Battelle for the U.S. DOE under contract DEAC05-76RL01830.  ...  Larry Thomas, Steven Spurgeon, and Libor Kovarik for their fruitful discussions on electron microscopy and crystallography.  ...  Equation 62 𝑅 = 𝑝 𝑞 𝑡 𝑝 𝑞 𝑡 𝑝 𝑞 𝑡 The previous rotation matrix was derived for Crystal A (Eqn. 62), but the exact procedure applies to Crystal B without any modifications beyond the subscript  ... 
arXiv:2205.03956v1 fatcat:ncp5jjlzlnepjfq3dars4ki62q

Which Features Do My Users (Not) Use?

Sebastian Eder, Henning Femmer, Benedikt Hauptmann, Maximilian Junker
2014 2014 IEEE International Conference on Software Maintenance and Evolution  
It indicates the relevance of the problem and the capability of the presented approach to detect unused features.  ...  The authors assume responsibility for the content.  ...  ACKNOWLEDGMENTS The authors thank Christoph Frenzel and Veronika Bauer for their helpful comments on this work, and Karl-Heinz Prommer and Rudolf Vaas for their efforts interpreting the data.  ... 
doi:10.1109/icsme.2014.71 dblp:conf/icsm/EderFHJ14 fatcat:7kjtz4mstfcoxdzsvsqb73rgdy

Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection [article]

Meng Ye, Yuhong Guo
2018 arXiv   pre-print
Zero-shot learning transfers knowledge from seen classes to novel unseen classes to reduce human labor of labelling data for building new classifiers.  ...  Auxiliary information can be conveniently incorporated to guide the label embedding projection to further improve label relation structures for zero-shot knowledge transfer.  ...  For any matrix, e.g., X, we use X i to denote its i-th row vector. We use · F to denote the Frobenius norm of a matrix and use tr(·) to denote the trace of a matrix.  ... 
arXiv:1808.02474v1 fatcat:dov2w7ofbvdg3kdfiprkb5sm3i
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