Results 281 to 290 of about 10,620,708 (372)

Thermoelectric Modules Incorporating MgAgSb and Mg3(Sb,Bi)2 Synthesized Using a Melting Method

Advanced Engineering Materials, EarlyView.
A scalable synthesis method for a thermoelectric material of MgAgSb is established. A thermoelectric power module of MgAgSb/Mg3(Sb,Bi)2 is fabricated, showing the conversion efficiency of 7.4% at ΔT = 315 K. The performance is comparable to conventional Bi2Te3 modules when they are operated with an air‐cooled heat exchanger.
Kazuo Nagase, Hironori Ohshima, Kunihiro Kihou, Haruno Kunioka, Ushin Anazawa, Ryosuke Sakagami, Yosuke Goto, Masayuki Murata, Chul‐Ho Lee   +8 more
wiley   +1 more source

3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response

Advanced Engineering Materials, EarlyView.
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley   +1 more source

Analysis of variance (mean square) of ENVI-met output for microclimatic parameters across three scenarios and three receptor locations over a 12-hour simulation period.

Zahra Karimian (9677772), Sara Mahdizadeh (16657770)   +1 more
openalex   +1 more source

ANOVA test showing how treatment interaction, treatment type and time interval contribute to the variation in the fecundity experiments, where SS = Sum of Squares, DF = Degrees of Freedom, MS = Mean Square, F = F-statistic. p < 0.05 was considered statistically significant.

Pieterjan De Boose (22756122), Felipe Oliveira Ribas (22756125), Duncan Bell (13261347), Maria Bouga (9289454), Eline De Borre (11619830), Jürg Fröhlich (322647), Fani Hatjina (3737389), Anke Huss (20798), Anastasia Kalapouti (22756128), Orestis L. Katsamenis (10940030), Lewis Blackwell (22756131), Pantelitsa Georgiadou (22756134), Ayesha Mohiud-din (22756137), Elham Alshamrani (22756140), Christelle Lasbleiz (22756143), Menelaos Stavrinides (458685), Zoi Thanou (22756146), Antonios Tsagkarakis (22756149), Andri Varnava (22756152), Marco Zahner (1377120), Herman Wijnen (61991), Arno Thielens (11619836)   +21 more
openalex   +1 more source

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Mean Square Exponential Stability Analysis for Itô Stochastic Systems With Aperiodic Sampling and Multiple Time-Delays

IEEE Transactions on Automatic Control, 2021
In this article, for Itô stochastic systems with aperiodic sampling and multiple time-delays, we provide two different types of mean square exponential stability analysis methods.
Guoliang Chen, Chenchen Fan, Jian Sun, Jianwei Xia   +3 more
semanticscholar   +1 more source

Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses

International Journal of Systems Science, 2021
In this research, the issue of parameter estimation for control systems is considered to develop a highly efficient estimation approach for the purpose of satisfying the need of industrial process modelling.
Ling Xu, F. Ding, Quanmin Zhu
semanticscholar   +1 more source

Mean-Square Trend

Automation and Remote Control, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bakirov, N. K., Mustafaev, A. A.-V.
openaire   +1 more source

Root Mean Square Layer Normalization

Neural Information Processing Systems, 2019
Layer normalization (LayerNorm) has been successfully applied to various deep neural networks to help stabilize training and boost model convergence because of its capability in handling re-centering and re-scaling of both inputs and weight matrix ...
Biao Zhang, Rico Sennrich
semanticscholar   +1 more source

Computing Expected Mean Squares

Biometrics, 1980
SUMMARY The evaluation of the expected mean squares arising from the analysis of unbalanced mixed ANOVA models has long been an analytically intractable problem. Irl this paper we present a theoretically and computationally simple technique for computation of the coefficients in the expected mean squares.
Goodnight, J. H., Speed, F. M.
openaire   +2 more sources

Mean Square Leader–Following Consensus of Second-Order Nonlinear Multiagent Systems With Noises and Unmodeled Dynamics

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
This paper focuses on the mean square practical leader–following consensus of second-order nonlinear multiagent systems with noises and unmodeled dynamics, where all agents are influenced by noises emerging from the input channels.
Wencheng Zou, Z. Xiang, C. Ahn
semanticscholar   +1 more source