Fuquan Huang¹, Zijun Liu¹, Tinghuang Wang¹, Haitai Zhang^{2, *}, Tony Yip³

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 865-878, 2020, DOI:10.32604/cmc.2020.010724 - 23 July 2020

Abstract In order to quickly and accurately locate the fault location of the distribution network and increase the stability of the distribution network, a fault recovery method based on multi-objective optimization algorithm is proposed. The optimization of the power distribution network fault system based on multiagent technology realizes fast recovery of multi-objective fault, solve the problem of network learning and parameter adjustment in the later stage of particle swarm optimization algorithm falling into the local extreme value dilemma, and realize the multi-dimensional nonlinear optimization of the main grid and the auxiliary grid. The system proposed More >

Yan Liu^{1, *}, Wenxin Hu^{1, *}, Longzhe Han², Maksymyuk Taras³, Zhiyun Chen¹

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 509-519, 2020, DOI:10.32604/cmc.2020.07519 - 30 March 2020

Abstract Filling techniques are often used in the restoration of images. Yet the existing filling technique approaches either have high computational costs or present problems such as filling holes redundantly. This paper proposes a novel algorithm for filling holes and regions of the images. The proposed algorithm combines the advantages of both the parity-check filling approach and the region-growing inpainting technique. Pairing points of the region’s boundary are used to search and to fill the region. The scanning range of the filling method is within the target regions. The proposed method does not require additional working More >

Wei Chen^{1, 2}, Tingzhu Sun^{1, 2}, Fangming Bi^{1, 2, *}, Tongfeng Sun^{1, 2}, Chaogang Tang^{1, 2}, Biruk Assefa^{1, 3}

Journal of New Media, Vol.1, No.1, pp. 35-44, 2019, DOI:10.32604/jnm.2019.05803

Abstract Image restoration is an image processing technology with great practical value in the field of computer vision. It is a computer technology that estimates the image information of the damaged area according to the residual image information of the damaged image and carries out automatic repair. This article firstly classify and summarize image restoration algorithms, and describe recent advances in the research respectively from three aspects including image restoration based on partial differential equation, based on the texture of image restoration and based on deep learning, then make the brief analysis of digital image restoration More >

Changjiang Liu¹, Xuling Wu², Bing Mo¹, Yi Zhang³

Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 671-678, 2018, DOI:10.31209/2018.100000033

Abstract With continuing commercialization of remote sensing satellites, the high resolution remote sensing image has been increasingly used in various fields of our life. However, processing technology of high resolution remote sensing images is still a tough problem. How to extract useful information from the massive information in high resolution remote sensing images is significant to the subsequent process. A multi-phase oil tank recognition of remote sensing images, namely coarse detection and artificial neural network (ANN) recognition, is proposed. The experimental results of algorithms presented in this paper show that the proposed processing technology is reliable More >

Álvarez AS¹, DR Pérez²

Phyton-International Journal of Experimental Botany, Vol.87, pp. 274-279, 2018, DOI:10.32604/phyton.2018.87.274

Abstract The use of microbial inocula for the restoration of severely degraded arid environments is of great interest. This is because there is a presumption that growth-favoring microorganisms can facilitate the establishment of seedlings by increasing their ability to withstand both the stress of transplantation in the case of nursery seedlings, and the extreme conditions for natural establishment imposed by the scarce, random and variable rainfall. In this work we analyze the “slenderness index”- the height of the plant divided by its diameter at the height cotyledon node- to analyze the effect of treatments with microorganisms… More >

Chichizola GA, AE Rovere, SL Gonzalez

Phyton-International Journal of Experimental Botany, Vol.87, pp. 265-273, 2018, DOI:10.32604/phyton.2018.87.265

Abstract The Onagraceae are a well-defined family of flowering plants much used by man. Many representatives of this group, which contains 75 species belonging to 8 genera, are indigenous to Argentina, and 19% of these are commonly found throughout the country. Many Onagraceae are ruderal and promote the subsequent establishment of other species, thus contributing to the restoration of degraded areas. Since it is important to know the characteristics of seeds to be used in restoration projects, we studied the basic germination physiology of Oenothera odorata Jacq., a ruderal plant indigenous to Argentina. Material was collected from… More >

Turuelo NM¹, DR Pérez²

Phyton-International Journal of Experimental Botany, Vol.87, pp. 260-264, 2018, DOI:10.32604/phyton.2018.87.260

Abstract In arid and semi-arid ecosystems, increasing and irreversible degradation in areas of high conservation value has prompted the search for various solutions, such as rehabilitation and ecological restoration. To implement these strategies, it is essential to solve critical issues affecting the establishment of plants in the field and the production of seedlings in nursery gardens. In the present work, the following pre-germination treatments were evaluated for the species Senna arnottiana and S. kurtzii, endemic to the Patagonian steppe (Payunia): (1) Immersion in water at 80 °C for 5 minutes; (2) Immersion in water at 80 °C for… More >

Zhengwei Li^1,2, Jianli Wang^1,*, Tao Chen¹, Bin Wang¹, Yuanhao Wu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.2, pp. 271-286, 2018, DOI:10.31614/cmc.2018.04005

Abstract With the development of adaptive optics and post restore processing techniques, large aperture ground-based telescopes can obtain high-resolution images (HRIs) of targets. The pose of the space target can be estimated from HRIs by several methods. As the target features obtained from the image are unstable, it is difficult to use existing methods for pose estimation. In this paper a method based on real-time target model matching to estimate the pose of space targets is proposed. First, the physically-constrained iterative deconvolution algorithm is used to obtain HRIs of the space target. Second, according to the More >

Changlin Wang^*, Bin Zhou^†, Min Liu^*, Ying Liu^*, Rui Gao^*

Oncology Research, Vol.25, No.4, pp. 463-470, 2017, DOI:10.3727/096504016X14685034103879

Abstract Cervical cancer is one of the most common cancers in females, with a high incidence and mortality around the world. However, the pathogenesis in cervical cancer is not completely known. In the present study, we investigated the role of miR-126-5p and Bcl2l2 in cervical cancer cells. First, miR-126-5p expression was aberrantly downregulated in human cervical cancer tumor tissues in comparison with normal tissues, as evaluated by RT-PCR. Consistently, the levels of miR-126-5p were also significantly reduced in cervical cancer cell lines when compared to normal cervical epithelial cells. Flow cytometric analysis showed that the rate… More >

González FM, DR Pérez

Phyton-International Journal of Experimental Botany, Vol.86, pp. 332-339, 2017, DOI:10.32604/phyton.2017.86.332

Abstract The Argentine arid Patagonia, in general, and ‘La Payunia’ ecosystem in particular, are important areas for conservation due to the high number of endemic species. However, this region presents a high level of degradation as a result of human activities. Thus, ecological rehabilitation strategies need to be implemented to recover certain areas. The main objectives of this study were to (1) evaluate the reintroduction of two selected native species in severely degraded areas, and (2) determine if the survival and growth of an endemic shrub species, Senna arnottiana, increase when it is associated with a perennial… More >