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      • An Improved Firefly Algorithm Based on Nonlinear Time-varying Step-size

        Shuhao Yu,Shenglong Zhu,Xiancun Zhou 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7

        Firefly algorithm (FA) is a novel population-based stochastic optimization algorithm and has been shown to yield good performance for solving varieties of optimization problems. Meanwhile, it sustains premature convergence because it is easily to fall into the local optima which may generate a low accuracy of solution or even fail. To overcome this defect, a nonlinear time-varying step strategy for firefly algorithm (NTSFA) is presented. It uses a nonlinear decreasing and time-varying step-size for fireflies to better balance the algorithm’s ability of exploration and exploitation. Numerical simulation on 20 test benchmark functions display that the proposed algorithm can increase the accuracy of the original FA. Finally, we apply NTSFA to integrate into k-means clustering for mouse dataset. The results show that NTSFA is an effective optimization algorithm.

      • Diversity-Guided Dynamic Step Firefly Algorithm

        Shuhao Yu,Shenglong Zhu,Renjin Liu,Xiancun Zhou 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8

        Firefly Algorithm is a nature-inspired optimization method, which has been shown to implement well on numerous optimization problems. But it can easily fall into the local optima and low precision. Therefore, it is very important to overcome these defects. In this paper, we use a dynamic strategy for step setting, which takes into account the population diversity of fireflies. The experiments show that the proposed algorithm improves the performance of original firefly algorithm.

      • KCI등재

        Computation and Analysis of Electric Field Distribution Under Lightning Impulse Voltage for 1000‑kV Gas‑Insulated‑Switchgear Spacer

        Wei Yang,Taiyun Zhu,Yu Tian,Shenglong Zhu,Xi Yang 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.4

        The electric feld distribution is critical to the insulation structure design of 1000-kV gas-insulated-switchgear (GIS) equipment. At present, it is not difcult to obtain the electric feld distribution under commercial frequency sinusoidal voltage; however, for lightning impulse voltage, the electric feld distribution is commonly substituted by electrostatic analysis under the peak voltage. As a result, this treatment may not embody the characteristics of the dielectric constant changing with frequency. In this paper, a frequency-domain mathematical model for transient analysis is established. The measured broadband frequency dielectric spectrum for the medium of a GIS spacer is well ftted by a H–N function model with three relaxation peaks. The transient analysis for a 1000-kV GIS spacer is realized by superposing the responses to the sinusoidal and direct current components of the lightning impulse waveform. The potential and electric feld regulation for a 1000-kV GIS spacer under lightning impulse voltage is presented and analyzed. Furthermore, the computed results from traditional electrostatic analysis are introduced for comparison. The results indicate that the electrostatic analysis increases the computed electric feld strength at the surface of the GIS spacer, while it decreases that at the interface between the GIS spacer and center conductor. It could provide computational support for the insulation structure design of 1000-kV GIS spacers.

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        The Effect of HPMC and CNC on the Structure and Properties of Alginate Fibers

        Meiyu Ci,Jie Liu,Shenglong Shang,Zhiming Jiang,Ping Zhu,Shuying Sui 한국섬유공학회 2020 Fibers and polymers Vol.21 No.10

        Bio-composite alginate fibers with binary and ternary blends were prepared by using cellulose nanocrystal (CNC)and hydroxypropyl methylcellulose (HPMC) as composite fillers through wet-spinning method. Structural, thermal,mechanical properties and surface morphology of fibers were characterized by Fourier transform infrared spectroscopy (FTIR),X-ray diffraction (XRD), Thermogravimetric Analysis (TGA), Mechanical strength testing, Scanning ElectronMicroscopy (SEM). The thermal stability and mechanical performance of SA/HPMC and SA/HPMC/CNC composite fibersimproved as the increasing of crystallinity and intermolecular H-bonding interaction of the fibers. HPMC is helpful toimprove the extensibility and stiffness of alginate fibers, and CNC can further enhance the stiffness of SA/HPMC compositefibers. The tensile strength, elongation at break, the initial modulus and work at break of SA/HPMC/CNC composite fiberswere superior to those of alginate fibers. Roughness of surface and tensile section of SA/HPMC and SA/HPMC/CNCcomposite fibers got increased. Water absorbency and salt resistance were significantly improved.

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        Iron Single-Atom nanocatalysts in response to tumor microenvironment for highly efficient Chemo-chemodynamic therapy

        Tushuai Li,Li Chen,Xiao Fu,Zhihong Liu,Shenglong Zhu,Yongquan Chen,Jie Zhang 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.112 No.-

        Chemodynamic therapy (CDT) based on multifunctional nanoparticles (NPs) has occurred as an attractivecancer treatment that covers the shortage of nonnegligible limitations from single therapy. Herein, wesynthesize a safe and universal CDT nanoparticle—iron single-atom nanoparticle (Fe SANP), in whichFe single-atom as the active catalytic site is anchored in a carbon framework with encapsulated doxorubicin(DOX). Fe SANPs work as catalase-like nanozyme for hydroxyl radicals (OH) production. The preparedNPs (denoted as DOX@Fe SANPs) can efficiently mediate peroxidase-like activity with the existenceof H2O2 that enhances cancer cell elimination by generating abundant OH. DOX@Fe SANPs exhibit a pHinduceddegradable character that contributes to specific drug release in the tumor microenvironment(TME). DOX@Fe SANPs produce ignorable systematic toxicity after biodegradation and drug delivery processes. Collectively, this study highlights the efficient anti-tumor performances of the iron single-atomnanocatalysts containing an anti-cancer drug DOX.

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