Hengyang Normal University

About: Hengyang Normal University is a education organization based out in Hengyang, China. It is known for research contribution in the topics: Graphene & Adsorption. The organization has 1087 authors who have published 1280 publications receiving 13850 citations. The organization is also known as: Hengyang Teachers' College & Héngyáng Shīfàn Xuéyuàn.

A prediction strategy based on decision variable analysis for dynamic multi-objective optimization

Abstract: Many multi-objective optimization problems in reality are dynamic, requiring the optimization algorithm to quickly track the moving optima after the environment changes. Therefore, response strategies are often used in dynamic multi-objective algorithms to find Pareto optimal. In this paper, we propose a hybrid prediction strategy based on the classification of decision variables, which consists of three steps. After detecting the environment change, the first step is to analyze the influence of each decision variable on individual convergence and distribution in the new environment. The second step is to adopt different prediction methods for different decision variables. Finally, adaptive selection is applied to the solution set generated in the first and second steps, and solutions with good convergence and diversity are selected to make the initial population more adaptable to the new environment. The prediction strategy can help the solution set converge while maintaining its diversity. The experimental results and performance show that the proposed algorithm is capable of significantly improving the dynamic optimization performance compared with five state-of-the-art evolutionary algorithms.

A pseudo-ELISA based on molecularly imprinted nanoparticles for detection of gentamicin in real samples

Abstract: The enzyme-linked immunosorbent assay (ELISA) is one of the most widely employed tests in diagnostics, and it relies on the use of antibodies to quantify the molecule of interest. Molecularly imprinted nanoparticles (nanoMIPs), thanks to their stability, cost efficiency and easy production, are a promising alternative to antibodies in assays and sensors. In this work, nanoMIPs have been produced by means of a solid-phase approach and employed for the detection of gentamicin in real samples. The produced nanoMIPs were characterized using dynamic light scattering (DLS) and transmission electron microscopy (TEM) techniques. The determination of gentamicin in spiked milk was implemented through an assay similar to enzyme-linked immunosorbent assay, in which the nanoMIPs were used as a synthetic capture antibody (pseudo-ELISA). The detection of gentamicin was achieved in competitive binding experiments with a horseradish peroxidase–gentamicin conjugate. Gentamicin was determined in milk at clinically relevant concentrations with a mean accuracy of 94%. The cross-reactivity of such nanoparticles was investigated with streptomycin and ampicillin as control antibiotics, demonstrating excellent specificity.

Unimodal Stopping Model-Based Early SKIP Mode Decision for High-Efficiency Video Coding

Abstract: High-efficiency video coding (HEVC) can greatly improve coding efficiency compared with the prior video coding standard H.264/AVC by adopting advanced hierarchical coding structures such as coding unit (CU), prediction unit (PU), and transform unit. For each CU, an exhaustive mode decision strategy is adopted to achieve the best rate distortion (RD) cost, which simultaneously results in enormous computational complexity. In this paper, an early SKIP mode decision algorithm is proposed for the HEVC encoder to speed up the process of mode decision. Each CU size is categorized into either rare used or frequent used by exploiting the correlation of CU depth, which is estimated from the temporally colocated CUs. For the rare-used CU size, the SKIP mode is directly selected as the optimal mode and the remaining mode decision process is early terminated. For the frequent-used CU size, a unimodal stopping model is designed for its early SKIP mode decision by exploiting both hierarchical mode structure and RD cost property. Experimental results show that the proposed early SKIP mode decision method achieves average 58.5% and 54.8% encoding time savings, while the Bjontegaard Delta bit rate only increases average 0.8% and 0.8% for various test sequences under the random access and the low delay B conditions, respectively.

On characterizations of Bloch-type, Hardy-type and Lipschitz-type spaces

Abstract: In this paper, we establish a Bloch-type growth theorem for generalized Bloch-type spaces and discuss relationships between Dirichlet-type spaces and Hardy-type spaces on certain classes of complex-valued functions. Then we present some applications to non-homogeneous Yukawa PDEs. We also consider some properties of the Lipschitz-type spaces on certain classes of complex-valued functions. Finally, we will study a class of composition operators on these spaces.

Legible compact calligrams

Abstract: A calligram is an arrangement of words or letters that creates a visual image, and a compact calligram fits one word into a 2D shape. We introduce a fully automatic method for the generation of legible compact calligrams which provides a balance between conveying the input shape, legibility, and aesthetics. Our method has three key elements: a path generation step which computes a global layout path suitable for embedding the input word; an alignment step to place the letters so as to achieve feature alignment between letter and shape protrusions while maintaining word legibility; and a final deformation step which deforms the letters to fit the shape while balancing fit against letter legibility. As letter legibility is critical to the quality of compact calligrams, we conduct a large-scale crowd-sourced study on the impact of different letter deformations on legibility and use the results to train a letter legibility measure which guides the letter deformation. We show automatically generated calligrams on an extensive set of word-image combinations. The legibility and overall quality of the calligrams are evaluated and compared, via user studies, to those produced by human creators, including a professional artist, and existing works.