Simple Energy Control in Frenkel–Kontorova Model

2019 ◽  
pp. 209-222
Author(s):  
Alexander L. Fradkov ◽  
Egor V. Usik ◽  
Boris Andrievsky
Keyword(s):  
Energy Control ◽  
Kontorova Model

The observation of solutions in Ni3Nb

1988 ◽  
Vol 46 ◽  
pp. 540-541
Author(s):  
Z.M. Wang ◽  
J.P. Zhang
Keyword(s):  
Electron Microscopy ◽  
High Resolution ◽  
Phase Modulation ◽  
High Resolution Electron Microscopy ◽  
Antiphase Domain ◽  
Boundary Area ◽  
Matrix Type ◽  
Resolution Electron ◽  
Domain Boundaries ◽  
Kontorova Model

High resolution electron microscopy reveals that antiphase domain boundaries in β-Ni3Nb have a hexagonal unit cell with lattice parameters ah=aβ and ch=bβ, where aβ and bβ are of the orthogonal β matrix. (See Figure 1.) Some of these boundaries can creep “upstairs” leaving an incoherent area, as shown in region P. When the stepped boundaries meet each other, they do not lose their own character. Our consideration in this work is to estimate the influnce of the natural misfit δ{(ab-aβ)/aβ≠0}. Defining the displacement field at the boundary as a phase modulation Φ(x), following the Frenkel-Kontorova model [2], we consider the boundary area to be made up of a two unit chain, the upper portion of which can move and the lower portion of the β matrix type, assumed to be fixed. (See the schematic pattern in Figure 2(a)).

H∞ Multi-Objective Implementation for Energy Control of Electromagnetic Suspension

2015 ◽  
Vol 9 (6) ◽  
pp. 542 ◽  
Author(s):  
Arif Indro Sultoni ◽  
I. Nyoman Sutantra ◽  
Agus Sigit Pramono
Keyword(s):  
Energy Control ◽  
Electromagnetic Suspension ◽  
Multi Objective

scholarly journals Determining Factors of Psychological Performance and Differences among Age Categories in Youth Football Players

2021 ◽  
Vol 13 (14) ◽  
pp. 7713
Author(s):  
Juan De Dios Benítez-Sillero ◽  
Luis Manuel Martínez-Aranda ◽  
Manuel Sanz-Matesanz ◽  
Marta Domínguez-Escribano
Keyword(s):  
Well Being ◽  
Negative Energy ◽  
Attention Control ◽  
Mental Toughness ◽  
Football Players ◽  
Energy Control ◽  
Psychological Performance ◽  
Self Confidence ◽  
Determining Factors ◽  
Motivational Level

Within the determining factors of psychological performance, mental toughness is considered a multidimensional factor, comprising cognitive, affective, and behavioural components together with self-confidence, which is related to success in sports performance as well as psychological health and well-being. The aim of this study was to analyse the relationship between different factors composing mental toughness and age categories in young football players, in order to determine the presence of specific psychological skills in their formative progression. A total of 118 male players (16.91 ± 2.42 years old) completed the Spanish version by Cernuda (1988) of the original Psychological Performance Inventory (PPI) by Loher (1982, 1986). The results indicated significant differences in four variables (negative energy control, attention control, visual and image control, motivational level) on three different age categories, where the U19 category showed the best results for all the variables, decreasing afterwards in the semi-professional category. Significant correlations were established between mental toughness variables and age categories, where the age category variable was significantly correlated in a positive way with attention control, visual and image control, and motivational level. In the same line, the variable self-confidence correlated positively with negative energy control, attention control, motivational level, attention control, and positive energy. The assessment of psychological variables such as mental toughness, taking into account the formative stage, may be helpful for both coaches and players when selecting adequate mental skill training for improving competitive performance and sporting success, as well as for positive and healthy psychological development and well-being.

Algorithm for secure communication of wireless network based on node energy control

2021 ◽  
pp. 1-11
Author(s):  
Shu Zhang ◽  
Jianhua Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Routing Protocol ◽  
Secure Communication ◽  
Network Routing ◽  
Wireless Sensor ◽  
Route Selection ◽  
Joint Function ◽  
Energy Control ◽  
Establishment Process

 This paper analyzes the security algorithm and energy cost of wireless sensor networks in depth, and designs and implements a series of energy-optimized security solutions to ensure the secure establishment and operation of wireless sensor networks. This paper proposes an improved Ad hoc network routing protocol based on energy control. It introduces a low-energy balanced routing algorithm to reduce routing transmission energy consumption, balance network traffic, and improve the energy control performance of network routing protocols. The protocol uses a cross-layer design in this way, the route selection combines the information of the link the remaining energy. A joint function is formed by the transmit power level remaining energy. The joint function of all nodes on the path is used as the basis for route selection and applied to the route discovery stage. At the same time, the protocol introduces edge degree parameters in the establishment process, the idea of minimum energy consumption path and the introduction of energy consumption ratio parameters in the cluster skull backbone network generation process are adopted to realize the energy optimization of the path establishment process. At the same time, the protocol uses the message interaction mechanism in the path establishment process to implement a node security authentication scheme based on secret shared information without adding any routing communication messages, which effectively prevents the passive and active attacks of the attacker on the network. The results of simulation experiments prove that the secure routing protocol achieves the network’s balanced energy consumption while ensuring the secure communication of the network, and solves the energy problem.

Chance‐constrained scheduling of hybrid microgrids under transactive energy control

2021 ◽  
Author(s):  
Mohammadreza Daneshvar ◽  
Behnam Mohammadi‐Ivatloo ◽  
Kazem Zare ◽  
Mehdi Abapour ◽  
Somayeh Asadi ◽  
...  
Keyword(s):  
Energy Control ◽  
Transactive Energy
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