ChemInform Abstract: Applications of Lanthanide Trichloride Hydrates Prepared from Mischmetall in Luche-Type Reduction.

ChemInform ◽  
2008 ◽  
Vol 39 (10) ◽  
Author(s):  
Marie-Isabelle Lannou ◽  
Florence Helion ◽  
Jean-Louis Namy
Keyword(s):  
Type Reduction ◽  
Lanthanide Trichloride

scholarly journals Applications of Lanthanide Trichloride Hydrates Prepared from Mischmetall in Luche-Type Reduction

Synlett ◽  
2007 ◽  
Vol 2007 (17) ◽  
pp. 2707-2710 ◽  
Author(s):  
Jean-Louis Namy ◽  
Marie-Isabelle Lannou ◽  
Florence Hélion
Keyword(s):  
Type Reduction ◽  
Lanthanide Trichloride

Type -Reduction Method on Fuzzy Critical Path

2019 ◽  
Vol 7 (1) ◽  
pp. 256-259
Author(s):  
P.Balasowandari ◽  
Dr. V.Anusuya
Keyword(s):  
Reduction Method ◽  
Critical Path ◽  
Type Reduction

Artificial potential field neuro-fuzzy controller for autonomous navigation of mobile robots

2020 ◽  
pp. 095965182097483
Author(s):  
Mahamat Loutfi Imrane ◽  
Achille Melingui ◽  
Joseph Jean Baptiste Mvogo Ahanda ◽  
Fredéric Biya Motto ◽  
Rochdi Merzouki
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Mobile Robots ◽  
Potential Field ◽  
Autonomous Navigation ◽  
Fuzzy Logic Controller ◽  
Artificial Potential Field ◽  
Type Reduction ◽  
Interval Type

Some autonomous navigation methods, when implemented alone, can lead to poor performance, whereas their combinations, when well thought out, can yield exceptional performances. We have demonstrated this by combining the artificial potential field and fuzzy logic methods in the framework of mobile robots’ autonomous navigation. In this article, we investigate a possible combination of three methods widely used in the autonomous navigation of mobile robots, and whose individual implementation still does not yield the expected performances. These are as follows: the artificial potential field, which is quick and easy to implement but faces local minima and robustness problems. Fuzzy logic is robust but computationally intensive. Finally, neural networks have an exceptional generalization capacity, but face data collection problems for the learning base and robustness. This article aims to exploit the advantages offered by each of these approaches to design a robust, intelligent, and computationally efficient controller. The combination of the artificial potential field and interval type-2 fuzzy logic resulted in an interval type-2 fuzzy logic controller whose advantage over the classical interval type-2 fuzzy logic controller was the small size of the rule base. However, it kept all the classical interval type-2 fuzzy logic controller characteristics, with the major disadvantage that type-reduction remains the main cause of high computation time. In this article, the type-reduction process is replaced with two layers of neural networks. The resulting controller is an interval type-2 fuzzy neural network controller with the artificial potential field controller’s outputs as auxiliary inputs. The results obtained by performing a series of experiments on a mobile platform demonstrate the proposed navigation system’s efficiency.

A QR-type reduction for computing the SVD of a general matrix product/quotient

2003 ◽  
Vol 95 (1) ◽  
pp. 101-121 ◽  
Author(s):  
Delin Chu ◽  
Lieven De Lathauwer ◽  
Bart De Moor
Keyword(s):  
Matrix Product ◽  
General Matrix ◽  
Type Reduction

Type–reduction of Interval Type–2 fuzzy numbers via the Chebyshev inequality

2021 ◽  
Author(s):  
Juan Carlos Figueroa-García ◽  
Heriberto Román-Flores ◽  
Yurilev Chalco-Cano
Keyword(s):  
Fuzzy Numbers ◽  
Chebyshev Inequality ◽  
Type Reduction ◽  
Interval Type

scholarly journals ATP-dependent substrate reduction at an [Fe8S9] double-cubane cluster

2018 ◽  
Vol 115 (12) ◽  
pp. 2994-2999 ◽  
Author(s):  
Jae-Hun Jeoung ◽  
Holger Dobbek
Keyword(s):  
Small Molecules ◽  
Metal Clusters ◽  
Two Component System ◽  
Metal Site ◽  
Substrate Reduction ◽  
Type Reduction ◽  
Component Systems ◽  
Two Component ◽  
Two Component Systems ◽  
Cubane Cluster

Chemically demanding reductive conversions in biology, such as the reduction of dinitrogen to ammonia or the Birch-type reduction of aromatic compounds, depend on Fe/S-cluster–containing ATPases. These reductions are typically catalyzed by two-component systems, in which an Fe/S-cluster–containing ATPase energizes an electron to reduce a metal site on the acceptor protein that drives the reductive reaction. Here, we show a two-component system featuring a double-cubane [Fe8S9]-cluster [{Fe4S4(SCys)3}2(μ2-S)]. The double-cubane–cluster-containing enzyme is capable of reducing small molecules, such as acetylene (C2H2), azide (N3−), and hydrazine (N2H4). We thus present a class of metalloenzymes akin in fold, metal clusters, and reactivity to nitrogenases.

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