The anti-reflection film can effectively reduce the surface reflectivity of solar photovoltaics, increase the transmittance of light, and improve the photoelectric conversion efficiency. The high refractive index coating is an important part of the anti-reflection film. However, the traditional metal oxide coating has poor stability and complicated processes. To address this issue, we prepared two organic high refractive index (HRI) photopolymers by modifying epoxy acrylic acid with 4,4′-thiodibenzenethiol, which can be surface patterned by nanoimprinting to prepare antireflection coatings. As a result, two modified photopolymers with high refractive index (n > 1.63), high optical transmittance (T > 95%), and thermal stability (Tg > 100 °C) are obtained after curing. In particular, the diphenyl sulfide photopolymer modified by ethyl isocyanate acrylate has a refractive index up to 1.667 cured by UV light. Our work confirms that the organic HRI photopolymer can be obtained by introducing high molar refractive index groups, with potential to be applied as a PV cell power conversion efficiency material.
Abstract:Since the four-in-wheel-motors drive (FWMD) electric vehicle (EV) has a four-wheel independent steering, this paper presents a novel control method for an electric power steering system with a dead-zone execution mechanism. A mathematical model was derived for execution mechanisms from the empirical data. A 'dead-zone inverse transforming compensation' was designed to eliminate ill effects caused by dead-zone. The experiment in a real car environment proves the proposed method.Keywords: EV; electric power steering system; steering control; dead-zone inverse transforming compensation.Reference to this paper should be made as follows: Liang, S., Qi, Z.T., Dong, Z., Qiu, H. and Hu, S. (2013) 'A novel control method for electric power steering system based on dead-zone inverse transforming compensation in a four-in-wheel-motor drive electric vehicle', Int. J. Biomechatronics and Biomedical Robotics, Vol. 2, Nos. 2/3/4, pp.81-86. This paper is a revised and expanded version of a paper entitled 'A novel control method for electric power steering system based on dead-zone inverse transforming compensation in a four-in-wheel-motor drive electric vehicle' presented at
Recent advances have shown that the challenging problem of matrix completion arises from real-world applications, such as image recovery, and recommendation systems. Existing matrix completion methods utilize the low-rank property of sparse matrices to fill missing entries, which essentially exploits the row-rank relationship and ignores the local features of sparse matrices. In this paper, we propose a novel matrix completion method that takes the path of combining local features and low-rank information. First, the original sparse matrix is processed so that the neighboring rows and columns of the sparse matrix are most similar to each other, and then the missing data are filled by the iterative rank-one matrix completion method. Moreover, we use two-dimensional convolutional operations of sparse matrices to obtain the local features to dredge up the missing entries. Finally, the two filled results are integrated to obtain the final missing entries. We conduct extensive experiments on the real-world datasets. The experimental results demonstrate the significant outperforms of the proposed method on five image datasets of different sizes, and show a strong competitive advantage on the recommender system datasets.
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