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      • KCI등재

        The applications of flower-shaped ZnO-UHMWPE fibers in photocatalysis and composites

        Huixin Liu,Weiwei Li,Zhong Wu,Yilong Zhou,Kaiyuan Pei,Wenhu Song,Shiting Li,Jinfeng Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.125 No.-

        Ultra-high molecular weight polyethylene (UHMWPE) fiber is considered as one of the high-performancefibers. However, the inert surface of UHMWPE fiber limits its application in many fields. In order to optimizethe application of UHMWPE fibers in functional and composite fields, this work introduced a specialsurface structure of the UHMWPE fibers. The designed surface was formed by the flower-shaped ZnO (FZnO)crystals, which endowed the UHMWPE fibers with photocatalytic property. Moreover, F-ZnO on theUHMWPE fiber surface enhanced the roughness of the fiber, which improves the interfacial bondingstrength of fiber-reinforced composites. The experimental results showed that the surface wettabilityof the F-ZnO-UHMWPE fibers was improved significantly. Moreover, F-ZnO-UHMWPE fibers were usedas immobilized photocatalyst, and the degradation rate of rodamine B reached 53.3 %. F-ZnOUHMWPEfiber also could be used in fiber-reinforced composites fields. Compared with the pure rigidpolyurethane (RPU) and UHMWPE fibers/RPU composites, the tensile strengths of F-ZnO-UHMWPEfibers/RPU composites were improved by 130.3 % and 44.2 % respectively.

      • SCIESCOPUSKCI등재

        SOC estimation of lithium-ion batteries for electric vehicles based on multimode ensemble SVR

        Tian, Huixin,Li, Ang,Li, Xiaoyu The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.9

        The state of charge (SOC) of a battery plays an important role in the battery management system (BMS) of electric vehicles (EVs), since this provides the available runtime for users. However, since driving conditions are various, the monitored battery data (voltage, current, etc.) are also different. If mixed data are used to build an SOC estimation model, the accuracy of the model is low. On the other hand, using only one kind of data set, results in an intelligent model with poor stability and generalization. To resolve these problems, a novel multimode ensemble support vector regression (ME-SVR) method is proposed to estimate SOC. In this method, considering the characters of battery data, the original data set is divided into multiple data subsets by a clustering algorithm. Then, an SVR estimation model is established for each data subset. Finally, the estimation results of multiple SVRs are integrated and the output is obtained according to the weighted average idea of ensemble learning. The experimental results under different driving conditions reveal that this novel algorithm can significantly improve SOC estimation accuracy and enhance the stability and generalization of the model.

      • KCI등재

        Flight and Hover Control System Design for a Mini-quadrotor Based on Multi-sensors

        Zhongli Ma,Huixin Li,Yanming Gu,Zuoyong Li,Qianqian Li 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2

        Mini-quadrotor is difficult to control in the air due to its small size and light weight. This paper presentsthe flight and hover control system for a mini-quadrotor, including design and simulation of calculations and controllers. Firstly, the attitude and position of the mini-quadrotor are obtained by distributed multi-sensors. Since attitudecalculation of aircraft needs a number of combined rotations and vectors transformed by rotation, quaternionsare applied to express the attitude model. About error compensation of gyroscope and accelerometer, IMU_Updataalgorithm of Mahony filter are applied and improved to realize data fusion [1]. In order to realize accurate hoveringat certain position, UWB (UltraWideband) are applied to gain positional information of mini-quadrotor and correctthe antenna delay caused sensor error by base station positioning. The discrete Kalman filter of original data is usedto achieve the optimized estimation of the airborne position. Px4flow optical flow sensor is able to gets velocityinformation and avoid the noise problem, which is caused by differential of position data. Then, the mathematicalmodel of a mini-quadrotor’s flight and hover control system can be established. Herein, integral items are solved bythe integral separation and integral limiting to mitigate the serious overshoot and oscillation of the system caused bythe cascade PID. Finally, the simulation of the attitude controller and position controller are applied with the MATLABSimulink library. The simulation result shows that the designed attitude controller and position controller canenable the mini-quadrotor to fly smoothly, move in all directions and hover.

      • Proceeding and Prospects on Tour-Service Trade of Sino-P. Korea

        Li. Ping,Mu. Huijie,Liu. Huixin 한중경제문화학회 2014 한중경제문화연구 Vol.3 No.-

        The progress of tourism industry between China and P.Korea have common interests. Tourism cooperation is helpful to realize the complementary advantages and is conducive to regional peace and security. In this paper, find out the measures to promote the progress of tourism cooperation between China and P.Korea through analyzing the market situation of China and P.Korea tourism cooperation in order to provide some advice for the progress of China and P. Korea tourism cooperation.

      • KCI등재

        Utilization of electrolytic manganese residue to synthesize zeolite A and zeolite X for Mn ions adsorption

        Wenlei Li,Huixin Jin,Hongyan Xie,Duolun Wang,Ershuai Lei 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-

        Extensive research is being carried out to efficiently utilize electrolytic manganese residue (EMR) andconvert it into useful materials. In this paper, phase pure zeolite A (ZA) and zeolite X (ZX) were synthesizedby EMR for the first time. The EMR-based zeolites were characterized by XRD, TG, SEM and BET, andtheir zero point charges were tested. Then, the adsorption capacities of ZA and ZX on Mn ions were studied. On the adsorbent concentration = 3.0 g/L and C0 = 439 mg/L, the adsorption capacities of ZA and ZX onMn ion were 119.5 and 96.7 mg/g, respectively. In addition, the adsorption kinetics and isotherms of theadsorption process were discussed, and the adsorption mechanism was clarified by means of XRD, FTIR,SEM, and XPS. The appearance of Mn-O functional groups indicated that Mn ions did enter the bindingsites of zeolites. Moreover, ZA and ZX were successfully regenerated in this work. Furthermore, the influenceof coexisting cations was explored, and the maximum adsorption capacities of ZA and ZX were comparedwith other adsorbents, which proved the excellent adsorption of Mn ions by ZA and ZX. Inconclusion, the synthesized ZA and ZX were low-cost adsorption materials with high adsorption capacity.

      • KCI등재

        Ni/ZnO-based Adsorbents Supported on Al2O3, SiO2, TiO2, ZrO2: A Comparison for Desulfurization of Model Gasoline by Reactive Adsorption

        Xuan Meng,Huan Huang,Huixin Weng,Li Shi 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.10

        Reactive adsorption desulfurization (RADS) experiments were conducted over a series of commercial metal oxide supports (Al2O3-, SiO2-, TiO2- and ZrO2-) supported Ni/ZnO adsorbents. The adsorbents were characterized by X-ray diffraction (XRD), temperature programmed reduction (TPR), and Fourier transform infrared spectroscopy (FTIR) in order to find out the influence of specific types of surface chemistry and structural characteristics on the sulfur adsorptive capacity. The desulfurization performance of all the studied adsorbents decreased in the following order: Ni/ZnO-TiO2 > Ni/ZnO-ZrO2 > Ni/ZnO-SiO2 > Ni/ZnO-Al2O3. Ni/ZnO-TiO2 shows the best performance and the three hour sulfur capacity can achieve 12.34 mg S/g adsorbent with a WHSV of 4 h−1. Various characterization techniques suggest that weak interaction between active component and support component, high dispersion of NiO and ZnO, high reducibility and large total Lewis acidity of the adsorbents are important factors in achieving better RADS performance.

      • KCI등재

        Immobilization of Thermomyces lanuginosus Xylanase on Aluminum Hydroxide Particles Through Adsorption: Characterization of Immobilized Enzyme

        ( Ying Jiang ),( Yue Wu ),( Huixin Li ) 한국미생물 · 생명공학회 2015 Journal of microbiology and biotechnology Vol.25 No.12

        Xylanase plays important roles in a broad range of industrial production as a biocatalyst, and its applications commonly require immobilization on supports to enhance its stability. Aluminum hydroxide, a carrier material with high surface area, has the advantages of simple and low-cost preparation and resistance to biodegradation, and can be potentially used as a proper support for xylanase immobilization. In this work, xylanase from Thermomyces lanuginosus was immobilized on two types of aluminum hydroxide particles (gibbsite and amorphous Al(OH)3) through adsorption, and the properties of the adsorbed enzymes were studied. Both particles had considerable adsorptive capacity and affinity for xylanase. Xylanase retained 75% and 64% of the original catalytic activities after adsorption to gibbsite and amorphous Al(OH)3. Both the adsorptions improved pH and thermal stability, lowered activation energy, and extended lifespan of the immobilized enzyme, as compared with the free enzyme. Xylanase adsorbed on gibbsite and amorphous Al(OH)3 retained 71% and 64% of its initial activity, respectively, after being recycled five times. These results indicated that aluminum hydroxides served as good supports for xylanase immobilization. Therefore, the adsorption of xylanase on aluminum hydroxide particles has promising potential for practical production.

      • SCOPUSKCI등재

        Ni/ZnO-based Adsorbents Supported on Al<sub>2</sub>O<sub>3</sub>, SiO<sub>2</sub>, TiO<sub>2</sub>, ZrO<sub>2</sub>: A Comparison for Desulfurization of Model Gasoline by Reactive Adsorption

        Meng, Xuan,Huang, Huan,Weng, Huixin,Shi, Li Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.10

        Reactive adsorption desulfurization (RADS) experiments were conducted over a series of commercial metal oxide supports ($Al_2O_{3-}$, $SiO_{2-}$, $TiO_{2-}$ and $ZrO_{2-}$) supported Ni/ZnO adsorbents. The adsorbents were characterized by X-ray diffraction (XRD), temperature programmed reduction (TPR), and Fourier transform infrared spectroscopy (FTIR) in order to find out the influence of specific types of surface chemistry and structural characteristics on the sulfur adsorptive capacity. The desulfurization performance of all the studied adsorbents decreased in the following order: Ni/ZnO-$TiO_2$ > Ni/ZnO-$ZrO_2$ > Ni/ZnO-$SiO_2$ > Ni/ZnO-$Al_2O_3$. Ni/ZnO-$TiO_2$ shows the best performance and the three hour sulfur capacity can achieve 12.34 mg S/g adsorbent with a WHSV of $4h^{-1}$. Various characterization techniques suggest that weak interaction between active component and support component, high dispersion of NiO and ZnO, high reducibility and large total Lewis acidity of the adsorbents are important factors in achieving better RADS performance.

      • KCI등재

        Low-dose CT Image Denoising Using Classification Densely Connected Residual Network

        ( Jun Ming ),( Benshun Yi ),( Yungang Zhang ),( Huixin Li ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.6

        Considering that high-dose X-ray radiation during CT scans may bring potential risks to patients, in the medical imaging industry there has been increasing emphasis on low-dose CT. Due to complex statistical characteristics of noise found in low-dose CT images, many traditional methods are difficult to preserve structural details effectively while suppressing noise and artifacts. Inspired by the deep learning techniques, we propose a densely connected residual network (DCRN) for low-dose CT image noise cancelation, which combines the ideas of dense connection with residual learning. On one hand, dense connection maximizes information flow between layers in the network, which is beneficial to maintain structural details when denoising images. On the other hand, residual learning paired with batch normalization would allow for decreased training speed and better noise reduction performance in images. The experiments are performed on the 100 CT images selected from a public medical dataset―TCIA(The Cancer Imaging Archive). Compared with the other three competitive denoising algorithms, both subjective visual effect and objective evaluation indexes which include PSNR, RMSE, MAE and SSIM show that the proposed network can improve LDCT images quality more effectively while maintaining a low computational cost. In the objective evaluation indexes, the highest PSNR 33.67, RMSE 5.659, MAE 1.965 and SSIM 0.9434 are achieved by the proposed method. Especially for RMSE, compare with the best performing algorithm in the comparison algorithms, the proposed network increases it by 7 percentage points.

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