A new energy model for the calculation of the surface reconstruction of III?V semiconductors: Application to the GaAs (110) surface

1987 ◽  
Vol 43 (2) ◽  
pp. 85-89 ◽  
Author(s):  
S. E. Toet ◽  
D. Lenstra
Keyword(s):  
Surface Reconstruction ◽  
Energy Model ◽  
New Energy

A new energy model to capture the behavior of energy price processes

2012 ◽  
Vol 29 (5) ◽  
pp. 1585-1591 ◽  
Author(s):  
Weijun Xu ◽  
Qi Sun ◽  
Weilin Xiao
Keyword(s):  
Energy Model ◽  
Energy Price ◽  
New Energy

EFFICIENT ACTIVE CONTOUR MODEL FOR MULTIPHASE SEGMENTATION WITH APPLICATION TO BRAIN MR IMAGES

2013 ◽  
Vol 27 (01) ◽  
pp. 1355001 ◽  
Author(s):  
YUNYUN YANG ◽  
YI ZHAO ◽  
BOYING WU
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Energy Functional ◽  
Energy Model ◽  
Mr Images ◽  
Split Bregman Method ◽  
Split Bregman ◽  
Contour Model ◽  
New Energy ◽  
Brain Mr Images

In this paper, we propose an efficient active contour model for multiphase image segmentation in a variational level set formulation. By incorporating the globally convex segmentation idea and the split Bregman method into the multiphase formulation of the local and global intensity fitting energy model, our new model improved the original local and global intensity fitting energy model in the following aspects. First, we propose a new energy functional using the globally convex segmentation method to guarantee fast convergence. Second, we incorporate information from the edge into the energy functional by using a non-negative edge detector function to detect boundaries more easily. Third, instead of a constant value to control the influence of the local and global intensity fitting terms, we use a weight function varying with the locations of the image to balance the weights between the local and the global fitting terms dynamically. Lastly, the special structure of our energy functional enables us to apply the split Bregman method to minimize the energy much more efficiently. We have applied our model to synthetic images and real brain MR images with promising results. Experimental results demonstrate the efficiency and superiority of our model.

scholarly journals Energy Modeling and Parameter Identification of Dual-Motor-Driven Belt Conveyors without Speed Sensors

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3313 ◽  
Author(s):  
Chunyu Yang ◽  
Jinhao Liu ◽  
Heng Li ◽  
Linna Zhou
Keyword(s):  
Parameter Identification ◽  
Energy Model ◽  
Least Square ◽  
Recursive Least Square ◽  
Extended Kalman Filtering ◽  
Identification Method ◽  
Driven System ◽  
New Energy ◽  
Least Square Approach ◽  
Belt Conveyors

The energy model of belt conveyors plays a key role in the energy efficiency optimization problem of belt conveyors. However, the existing energy models and parameter identification methods are mainly limited to single-motor-driven belt conveyors and require speed sensors. This paper will present an energy model and a parameter identification method for dual-motor-driven belt conveyors whose speed sensors are not available. Firstly, a new energy model of dual-motor-driven belt conveyors is established by combining the traditional energy model with the dynamic model of a dual-motor-driven system. Then, a parameter identification method based on an extended Kalman filtering algorithm and recursive least square approach is proposed. Finally, the feasibility and effectiveness of the method are demonstrated by simulation experiments.

scholarly journals Determination of Optimal Number of Relays Using a New Energy Model for WSN

2018 ◽  
Vol 4 (2) ◽  
pp. 572-579
Author(s):  
Partha Pratim Bhattacharya ◽  
Shilpi Gupta ◽  
Nupur Pal
Keyword(s):  
Energy Consumption ◽  
Minimum Energy ◽  
Optimal Number ◽  
Energy Model ◽  
Sensor Nodes ◽  
Direct Transmission ◽  
Direct Path ◽  
Minimum Energy Consumption ◽  
New Energy

Wireless Sensor Networks are proving themselves as a boon to the surroundings and its deployment is a prominent area to be considered for minimum energy consumption. In this paper, we have considered deployment of a sensor grid network for 36 and 100 number of sensor nodes. Diagonally opposite nodes are considered to be source and destination. Using a modified energy model, the energy consumption for direct path and that with different number of relays are calculated. The maximum distance up to which direct transmission is possible and the number of required relays for higher transmission distances are then found out.

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