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Hongwei Zhou,Bo Yan,Jialiang Lai,Hanbin Liu,Aijie Ma,Weixing Chen,Xilang Jin,Weifeng Zhao,Gai Zhanga 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.58 No.-
This work describes the preparation, characterization and removal capability of a novel biomass derived carbonaceous sponges (CS) and their nanocomposites. The CS has hierarchically porous structure which is composed of lamellar structures and secondary porous structures. The pore size is on a scale from 1 nm to 200 μm. Utilizing the CS as adsorbents, rapid removal of model organic molecules, including methylene blue (MB), methyl orange (MO) and crystal violet (CV), from their aqueous solutions can be completed within 1 min with the assistance of pressure and the removal efficiency reaches up to 100%, 81% and 98%, respectively. The removal capabilities for CS towards MB, MO and CV are 0.0769 g/g, 0.2218 g/g and 1.0384 g/g, respectively and 0.0635 g/g, 0.0977 g/g and 0.8634 g/g, respectively for CS nanocomposites.
Preparation and Self-Healing Behaviors of Poly(acrylic acid)/Cerium Ions Double Network Hydrogels
Hongwei Zhou,Guohe Xu,Jie Li,Shihao Zeng,Xiaolong Zhang,Zhaohui Zheng,Xiaobin Ding,Weixing Chen,Qiguan Wang,Wenzhi Zhang 한국고분자학회 2015 Macromolecular Research Vol.23 No.12
This work aims at developing an approach to poly(acrylic acid)/cerium ions (PAA/cerium ions) double network hydrogels and exploring the self-healing properties of the hydrogels, with expectation to provide some clues for constructing new healable gel actuators and enrich the family of self-healable hydrogels. The hydrogel is covalently crosslinked by a traditional crosslinking agent N,N'-methylene bis-acrylamide to form the first network and further physically crosslinked by the ionic interaction between cerium ions and the carboxyl groups in the hydrogel network. The preparation method and self-healing behaviors of the hydrogels are investigated.
Hongwei Li,Wenxiang Huang,Long Xu,Xiaosi Zhou,Hongxia Liu,Zhaobang Cheng 한국식물학회 2016 Journal of Plant Biology Vol.59 No.5
Cucumber green mottle mosaic virus (CGMMV) is a major limiting factor in the production of cucumber plants worldwide. In the present study, we use plant growth-promoting rhizobacteria (PGPR) to control this virus effectively. Stenotrophomonas maltophilia HW2 was isolated from healthy cucumber root, exhibited a good biocontrol efficacy against CGMMV. Here, it is documented that 20 d after virus inoculation, the biocontrol efficacy of HW2 reached 52.61%. HW2 can effectively colonize in cucumber rhizosphere, and also promoted cucumber plants growth. We also examined the effect of HW2 on viral replication and its mechanism. Compared with the control, HW2 pre-treated plants could delay virus replication for more than 3 d and inhibit viral protein genes (CP, MP, Rep) expression in the cucumber leaf. The expression of antioxidant enzyme genes (SOD and CAT) and defense-related genes (PR1 and PR5) were quickly induced by HW2. These results suggest that HW2 induced plant defense responses to CGMMV by increasing the expression of defense response genes. We report for the first time that Stenotrophomonas maltophilia improved cucumber resistance against CGMMV, which highlights the applying of PGPR on controlling of virus diseases.
A 3-prismatic-revolute-spherical compliant parallel platform for optoelectronic packaging
Hongwei Xu,Haibo Zhou,Shuaixia Tan,Zhiping Kong,Ji-An Duan 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6
To align the optical channels of optoelectronic appliances, a 3-prismaticrevolute-spherical (3-PRS) compliant parallel platform (CPP) is proposed in this work. The platform has special large stroke compliant joints. Attention is paid to the establishment of the inverse kinematics model and the analysis of the parasitic motion (PM) of the platform. A prototype of the platform is also presented, and its accuracy is experimentally evaluated. Besides, the platform is employed as a 3 degree-of-freedom (DOF) platform for optoelectronic packaging. Furthermore, the closed-loop control strategy requires merely one optical power meter to avoid the use of complex multiple DOF detection devices. In this respect, the influence of the precision of inverse kinematics solution on the optoelectronic packaging is reduced. Moreover, a compensation rule is employed to minimize the effect of PM on the motion accuracy of the platform. The results show that the proposed 3-PRS CPP is highly efficient for optoelectronic packaging.
Comparison of various structural damage tracking techniques based on experimental data
Hongwei Huang,Jann N. Yang,Li Zhou 국제구조공학회 2010 Smart Structures and Systems, An International Jou Vol.6 No.9
An early detection of structural damages is critical for the decision making of repair and replacement maintenance in order to guarantee a specified structural reliability. Consequently, the structural damage detection, based on vibration data measured from the structural health monitoring (SHM) system, has received considerable attention recently. The traditional time-domain analysis techniques, such as the least square estimation (LSE) method and the extended Kalman filter (EKF) approach, require that all the external excitations (inputs) be available, which may not be the case for some SHM systems. Recently, these two approaches have been extended to cover the general case where some of the external excitations (inputs) are not measured, referred to as the adaptive LSE with unknown inputs (ALSE-UI) and the adaptive EKF with unknown inputs (AEKF-UI). Also, new analysis methods, referred to as the adaptive sequential non-linear least-square estimation with unknown inputs and unknown outputs (ASNLSE-UI-UO) and the adaptive quadratic sum-squares error with unknown inputs (AQSSE-UI), have been proposed for the damage tracking of structures when some of the acceleration responses are not measured and the external excitations are not available. In this paper, these newly proposed analysis methods will be compared in terms of accuracy, convergence and efficiency, for damage identification of structures based on experimental data obtained through a series of laboratory tests using a scaled 3-story building model with white noise excitations. The capability of the ALSE-UI, AEKF-UI, ASNLSE-UI-UO and AQSSE-UI approaches in tracking the structural damages will be demonstrated and compared.
Clean Development Mechanism and Its Risk Management Policy in Urban Infrastructure Construction
Zhou Jun,Zhang Hongwei,Liu Yingjia 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.7
Clean Development Mechanism (CDM) is a multi-win solution for the low-carbon development of urban infrastructure. It provides a low-cost plan and offering channels for technical transformation. Moreover, effective clean development strategy can certainly produce additional capital and technology benefits to meet the requirements of sustainability for urban infrastructure construction. This paper illustrates the clean development principles of urban infrastructure in a broader sense,and pay attention to the potential risk and controlling methodology of the CDM, which aims at promoting the formation and positive development of urban CMD system.
Shengjie Zhou,Hongwei Ding,Yifan Zhao,Zhijun Yang,Qianlin Liu 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.1
In the Wireless Sensor Network, a new MAC protocol: one-persistent CSMA protocol with monitoring functions and multichannel mechanism for Wireless Sensor Network based on conflict resolution algorithm is proposed. Protocol from the system throughput, collision rate, better service quality for higher priority and other aspects improve the traditional CSMA system to perfect the controllability of the system, making the system more stable for the big data, better adapted to different business. The average cycle method is used to derive rigorous mathematical expressions of specific relevant parameters. Using MATLAB simulation tool for the accuracy of the agreement is demonstrated.
Comparison of various structural damage tracking techniques based on experimental data
Huang, Hongwei,Yang, Jann N.,Zhou, Li Techno-Press 2010 Smart Structures and Systems, An International Jou Vol.6 No.9
An early detection of structural damages is critical for the decision making of repair and replacement maintenance in order to guarantee a specified structural reliability. Consequently, the structural damage detection, based on vibration data measured from the structural health monitoring (SHM) system, has received considerable attention recently. The traditional time-domain analysis techniques, such as the least square estimation (LSE) method and the extended Kalman filter (EKF) approach, require that all the external excitations (inputs) be available, which may not be the case for some SHM systems. Recently, these two approaches have been extended to cover the general case where some of the external excitations (inputs) are not measured, referred to as the adaptive LSE with unknown inputs (ALSE-UI) and the adaptive EKF with unknown inputs (AEKF-UI). Also, new analysis methods, referred to as the adaptive sequential non-linear least-square estimation with unknown inputs and unknown outputs (ASNLSE-UI-UO) and the adaptive quadratic sum-squares error with unknown inputs (AQSSE-UI), have been proposed for the damage tracking of structures when some of the acceleration responses are not measured and the external excitations are not available. In this paper, these newly proposed analysis methods will be compared in terms of accuracy, convergence and efficiency, for damage identification of structures based on experimental data obtained through a series of laboratory tests using a scaled 3-story building model with white noise excitations. The capability of the ALSE-UI, AEKF-UI, ASNLSE-UI-UO and AQSSE-UI approaches in tracking the structural damages will be demonstrated and compared.