Nowadays, optimization has become a brand methodology for different applications. One of the most promising fields for application of optimization is the image processing field, especially image fusion. A new effective deterministic optimization technique is the modified central force optimization (MCFO) that overcomes the low convergence rate drawback of the central force optimization (CFO). In this paper, the MCFO is applied with standard image fusion methods as a novel brand to improve the fusion efficiency either qualitatively or quantitatively. Intensity-hue-saturation (IHS), high-pass filtering (HPF), and discrete wavelet transform (DWT) are powerful standard techniques for satellite image fusion that are implemented with MCFO optimization in this paper. They are performed on satellite panchromatic (PAN) and multispectral (MS) images. The target of using the MCFO is to reduce some spectral and spatial distortions that may occur without optimization. Different qualitative indices have been used to validate the proposed approach comprising optimization for satellite image fusion.

Satellite image fusion based on modified central force optimization

In order to assess the electrical energy storage technologies, the thermo-economy for both capacity-type and power-type energy storage are comprehensively investigated with consideration of political, environmental and social influence. And for the first time, the Exergy Economy Benefit Ratio (EEBR) is proposed with thermo-economic model and applied to three different storage systems in various scenarios, including pumped storage, compressed air energy storage and flywheel energy storage. The impact of the total system efficiency, annual utilization hour, life time, and other key factors are also analyzed. The results show that the EEBRs of pumped storage and compressed air energy storage under peak load shaving condition and flywheel energy storage under frequency modulation service condition are all larger than zero, which means they are all thermo-economically feasible. With extra consideration of political, environmental and social impact, the exergy cost could reduce by about 25% and the EEBR doubles. The sensitivity analysis indicates the similarity and diversity of influence to EEBR between capacity-type and power-type energy storage systems. The former is that energy efficiency is the dominated factor for all three storage systems. The latter is that the difference of exergy benefit mode causes variety in other major factors. For energy-type storage system, like pumped storage and compressed air storage, the peak-to-valley price ratio is very sensitive in energy arbitrage. For power-type storage system, like flywheel storage, the mileage ratio is in leading position in auxiliary service benefit by mileage. In the three cases studied, the pumped storage has the best thermo-economy; the compressed air energy storage is the second, and the flywheel energy storage is the third. The main reason is that the pumped storage has the least non-exergy cost, and flywheel has the most.

Thermo-Economic Modeling and Evaluation of Physical Energy Storage in Power System

In view of the complex nonlinear relationship between the shearer mining rate and the cutting specific energy consumption in a fully mechanized mining face, the optimal combination of shearer motion parameters and geometric parameters is studied to achieve green mining by improving the coal mining rate and reducing the cutting specific energy consumption. The orthogonal virtual test of the shearer's working performance is carried out using the discrete element software EDEM. The evaluation indexes of the shearer's working performance are the coal mining rate and the cutting specific energy consumption. The results of the research based on the discrete element method are analyzed by the regression method. The regression equation of the evaluation indexes is calculated by SPSS software, and the three-dimensional contour map is drawn by MATLAB. The influence rule of the research factors on the evaluation index is determined. By optimizing the evaluation index, the optimal combination of parameters after shearer rounding is obtained: the drum speed is 74.1 r/min, the hub diameter is 321.8 mm, and the pick angle is 22.3°. The coal mining rate is 80.71%, and the cutting specific energy consumption is 585.64 w · h/m
 3
. The simulation results are verified by experiments, which demonstrate the accuracy and feasibility of using the discrete element method to study the energy consumption of the shearer's mining rate and cutting ratio.

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Analysis and Research on Working Performance of Shearer Based on Discrete Element Method

To resolve the problems that the traditional image denoising methods are easy to lose details such as edges and textures, a new method of image denoising was proposed. It based on the Curvelet denoising algorithm, using polynomial interpolation threshold method, combining with Wrapping and Cycle spinning techniques to determine the adaptive threshold of each Curvelet coefficient for denoising the medical images. Simulation experiments confirm that the new method reduces the pseudo Gibbs phenomenon, retains the details and texture of the image better, and obtains better visual effects and higher PSNR values.

Image Denoising Method Based on Curvelet Transform in Telemedicine.

The generalized finite-element method (GFEM) enriched by plane waves has been proved suitable to solve the 2-D Helmholtz equation. However, when the number of unknowns increases, some difficulties arise, such as bad condition number. Therefore, developing a pre-processing methodology to identify an appropriate number of degrees of freedom for each problem could be useful. This paper presents a systematic approach to determine the optimal number of plane waves for each problem to be used in GFEM solution. It is based on the analysis of the traditional FEM solution with a poor mesh resolution using the fast discrete curvelet transform. The results indicate that the adopted strategy can guarantee accurate and converging responses for GFEM in complex problems, along with remarkable reductions of the computational cost.

Improvement of System Quality in a Generalized Finite-Element Method Using the Discrete Curvelet Transform

The use of compressed air energy storage (CAES) systems instead of conventional energy storage systems in large scale grid connected photovoltaic (PV) plans has already been proposed and investigated thermo-economically, resulting to very satisfactory outcomes. On the other hand, city gate stations (CGS), in which high pressure natural gas is expanded to much lower presser levels, has been proved to be a very suitable place for producing free electricity by employing turbo-expanders instead of conventional throttling valves. In this work, the feasibility of employing a CGS power output for improving the performance of a grid connected PV plant accompanied with a CAES system and enhancing its power output stability is studied. Comprehensive energy analysis and economic assessment on the proposed configuration is carried out and the results are discussed thoroughly. Finally, the performance of this hybrid configuration is compared with the PV plant and the CGS station while working individually. Internal rate of return (IRR) method as an authentic economic evaluation approach is used for comparing the considered systems economically.

Stabilizing a photovoltaic plant power output by employing an auxiliary power source

The generalized finite element method (GFEM) enriched by Plane Waves has been proved suitable to solve the two-dimensional Helmholtz equation. However, when the numbers of unknowns increase, some difficulties arise, such as bad condition number. To reduce the total number of degrees of freedom, this paper presents a method to identify the most significant plane waves in different locations in the problem. It is based on the analysis of the traditional Finite Element Method solution with a poor mesh resolution using the Fast Discrete Curvelet Transform (FDCT) through wedge wrapping.

Naier Mahdinejad

Papers

Improvement of System Quality in a Generalized Finite-Element Method Using the Discrete Curvelet Transform

Stabilizing a photovoltaic plant power output by employing an auxiliary power source

Improvement of system quality in a generalized finite element method using discrete curvelet transform