Results 11 to 20 of about 355,372 (306)

Toward the Observability of Cloud-Native Applications: The Overview of the State-of-the-Art

IEEE Access, 2023
The Cloud-native model, established to enhance the Twelve-Factor patterns, is an approach to developing and deploying applications according to DevOps concepts, Continuous Integration/Continuous Delivery, containers, and microservices.
Joanna Kosinska, Bartosz Balis, Marek Konieczny, Maciej Malawski, Slawomir Zielinski   +4 more
doaj   +1 more source

Linearized Versus Nonlinear Observability Analysis for Lithium-Ion Battery Dynamics: Why Respecting the Nonlinearities Is Key for Proper Observer Design

IEEE Access, 2021
Electrochemical model-based observers for battery state estimation play an important role in advanced battery management system design to provide accurate real-time estimates of unmueasurable critical internal variables. In this work, observability of an
Anirudh Allam, Simona Onori
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Enhanced Optimal PMU Placements With Limited Observability Propagations

IEEE Access, 2020
When the power grid encounters unexpected contingencies, conventional optimal phasor measurement units (PMUs) placement formulations with unlimited observability propagations may increase the risk of losing the observability.
Xian-Chang Guo, Chung-Shou Liao, Chia-Chi Chu   +2 more
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Observation of *

Chinese Physics C, 2023
Abstract Using data taken at 29 center-of-mass energies between 4.16 and 4.70 GeV with the BESIII detector at the Beijing Electron Positron Collider corresponding to a total integrated luminosity of approximately 18.8 , the process
M. Ablikim, M. N. Achasov, P. Adlarson, M. Albrecht, R. Aliberti, A. Amoroso, M. R. An, Q. An, X. H. Bai, Y. Bai, O. Bakina, R. Baldini Ferroli, I. Balossino, Y. Ban, V. Batozskaya, D. Becker, K. Begzsuren, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, J. Bloms, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, J. F. Chang, W. L. Chang, G. Chelkov, C. Chen, Chao Chen, G. Chen, H. S. Chen, M. L. Chen, S. J. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Z. J. Chen, W. S. Cheng, X. Chu, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, Y. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, S. X. Du, P. Egorov, Y. L. Fan, J. Fang, S. S. Fang, W. X. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, K Fischer, M. Fritsch, C. Fritzsch, C. D. Fu, H. Gao, Y. N. Gao, Yang Gao, S. Garbolino, I. Garzia, P. T. Ge, Z. W. Ge, C. Geng, E. M. Gersabeck, A Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. M. Gu, M. H. Gu, Y. T. Gu, C. Y. Guan, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, T. T. Han, W. Y. Han, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, M. Himmelreich, G. Y. Hou, Y. R. Hou, Z. L. Hou, H. M. Hu, J. F. Hu, T. Hu, Y. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Z. Huang, T. Hussain, N Hüsken, W. Imoehl, M. Irshad, J. Jackson, S. Jaeger, S. Janchiv, Q. Ji, Q. P. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, Z. K. Jia, H. B. Jiang, S. S. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, T. Johansson, N. Kalantar-Nayestanaki, X. S. Kang, R. Kappert, B. C. Ke, I. K. Keshk, A. Khoukaz, P. Kiese, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupsc, W. Kühn, J. J. Lane, J. S. Lange, P. Larin, A. Lavania, L. Lavezzi, Z. H. Lei, H. Leithoff, M. Lellmann, T. Lenz, C. Li, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. Li, H. Li, H. B. Li, H. J. Li, H. N. Li, J. Q. Li, J. S. Li, J. W. Li, Ke Li, L. J. Li, L. K. Li, Lei Li, P. R. Li, Feng Liu, H. Liu, X. Liu, J. G. Messchendorp, G. Mezzadri, R. E. Mitchell, S. Pacetti, T. Y. Qi, C. Schnier, M. Scodeggio, W. M. Song, S. Sosio, Y. Wang, F. Weidner, U. Wiedner, Q. Zhao, S. H. Zhu   +217 more
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Observability Transitions in Networks with Betweenness Preference. [PDF]

PLoS ONE, 2016
A network is considered observable if its current state can be determined in finite time from knowledge of the observed states. The observability transitions in networks based on random or degree-correlated sensor placement have recently been studied ...
Yang Shunkun, Yang Qian, Xu Xiaoyun, Lu Dan, Li Daqing   +4 more
doaj   +1 more source

Observability and Structural Identifiability of Nonlinear Biological Systems [PDF]

Complex, 2018
Observability is a modelling property that describes the possibility of inferring the internal state of a system from observations of its output. A related property, structural identifiability, refers to the theoretical possibility of determining the ...
A. F. Villaverde
semanticscholar   +1 more source

A different view on controllability and observability of continuous time linear systems with interval coefficients [PDF]

Iranian Journal of Numerical Analysis and Optimization, 2020
We discuss the controllability and observability of time-invariant (continuous time) linear systems with interval coefficients using the notion of being full rank of interval matrices.
H.S. Amiri, A.H. Borzabadi, A. Heydari
doaj   +1 more source

Towards platform observability

Internet Policy Review, 2020
The growing power of digital platforms raises the question of democratic control or at least containment. In light of the transforming impact of platforms on markets, the public sphere, elections, and employment conditions, governments, and civil society
Bernhard Rieder, J. Hofmann
semanticscholar   +1 more source

Matrix Completion for Low-Observability Voltage Estimation [PDF]

IEEE Transactions on Smart Grid, 2018
With the rising penetration of distributed energy resources, distribution system control and enabling techniques such as state estimation have become essential to distribution system operation.
P. Donti, Yajing Liu, A. Schmitt, A. Bernstein, Rui Yang, Y. Zhang   +5 more
semanticscholar   +1 more source

Observability Analysis of Sensor Bias Based on the Track-independent Model

Leida xuebao, 2013
In this paper, an observability analysis of sensor bias based on the track-independent estimation model is presented. Observability analysis is a prerequisite for developing a systematic error estimation model.
Zhu Hong-wei, Tang Xiao-ming, He You
doaj   +1 more source