Zhongkai University of Agriculture and Engineering

Guangzhou, China

Zhongkai University of Agriculture and Engineering, , is a university located in Guangzhou, China that specializes in training agricultural technicians. The University is named after Liao Zhongkai, a leading figure in the founding of modern China and a close associate of Sun Yat-sen. The university consists of three campuses with a total area of 1,114.7 square kilometres . Founded in 1927, Zhongkai University is one of Guangzhou’s oldest institutions of higher education. Wikipedia.

Time filter
Source Type

Xiao M.-M.,Zhongkai University of Agriculture and Engineering
Journal of Intelligent and Fuzzy Systems | Year: 2017

For a thorough understanding of procedures in various network applications, and to automatically classify, recognize, trace, and control them, it is necessary that the state machine representing application sessions is obtained in advance. This article presents a novel approach to reversely infer a protocol state machine from collected data of the application layer. Protocol state machines are derived using a method of error-correcting grammatical inference, which is based on symbol sequences that appear in the application sessions. The techniques are implemented into a tool called PREUGI, which is conducted in a real network, containing a number of real applications with several application layer protocols, to validate the proposed method. © 2017 - IOS Press and the authors. All rights reserved.

Shi L.,Hefei University of Technology | Lin H.,Zhongkai University of Agriculture and Engineering
Langmuir | Year: 2011

SnO2 nanotubes have been prepared via a facile hydrothermal method at low temperatures using polycarbonate (PC) membrane as a hard template. The walls of as-prepared SnO2 nanotubes are composed of fine nanocrysalline particles and the size of SnO2 nanocrystals could be modified by changing reaction temperature. Formation mechanism of SnO 2 nanotubes is also discussed according to the experimental results. Cathodoluminescence properties of the SnO2 product indicated that the band gap of the nanostructures increase from 3.75 eV with a particle size 5.6 nm to 3.99 eV with a particle size 3.3 nm. The as-prepared SnO2 nanotubes were found to show enhanced gas-sensing activity and may be used as a candidate for the fabrication of gas sensors. © 2011 American Chemical Society.

Shi L.,Hefei University of Technology | Lin H.,Zhongkai University of Agriculture and Engineering
Langmuir | Year: 2010

Hollow SnO2 spheres with smooth surface have been fabricated by a low temperature template-free solution phase route via self-assembly of small nanocrystalline particles. These hollow spheres have a very thin shell thickness of about 10 nm and are built from SnO2 nanocrystals of an average size of 5.3 nm. The evacuation behavior of inside-out Ostwald ripening can be used to explain the formation of hollow spheres according to results of time-dependent reactions. The cathodoluminescence spectrum indicates a blue shift of the band gap emission peak of SnO2, originating from quantum confinement effect due to the nanoscle size of SnO2 particles. The as-prepared SnO2 hollow spheres were also found to exhibit excellent performance in wastewater treatment. © 2010 American Chemical Society.

Tang Y.,Zhongkai University of Agriculture and Engineering | Tang Y.,South China University of Technology | Li G.Y.,South China University of Technology | Pan Y.C.,South China University of Technology
Materials and Design | Year: 2014

The effects of TiO2 nanoparticles addition on the microstructure, microhardness, and tensile properties of Sn-3.0wt.%Ag-0.5wt.%Cu-xwt.%TiO2 (x=0, 0.05, 0.1, and 0.6) composite solders were systematically investigated. Scanning electron microscope (SEM) was used to observe the microstructural evolution of the composite solders, measure the size of the Ag3Sn grains, and estimate the spacing between the Ag3Sn grains in the solder matrix. Energy-dispersive X-ray spectroscopy (EDX) and X-ray diffractometry (XRD) were used to identify the phases of eutectic areas in the composite solder matrix. Results show that both the average size of Ag3Sn grains and the spacing between the Ag3Sn grains decrease significantly, which might owe to the strong adsorption effect and high surface free energy of the TiO2 nanoparticles. The microhardness is improved by 37% compared with TiO2-free noncomposite solder as the weight percentage of TiO2 nanoparticles is 0.1wt.%. The improvement is due to the microstructural change of the composite solders, which is in good agreement with the prediction of the classic theory of dispersion strengthening. Tensile tests reveal that the TiO2-containg composite solder alloys have higher ultimate tensile strength (UTS) than TiO2-free noncomposite solder alloy due to solid solution hardening. UTS of solder alloys have a logarithmic increase relation with strain rate ranging from 10-3s-1 to 10-1s-1 and decreases with an increase of test temperatures ranging from 25°C to 125°C. © 2013 Elsevier Ltd.

Zhang H.,Zhongkai University of Agriculture and Engineering | Mittal G.,University of Guelph
Environmental Progress and Sustainable Energy | Year: 2010

This review provides an overview of studies on the film-forming properties of soy protein, wheat gluten and corn zein. Biodegradable films from these proteins have been investigated extensively. Casting is the most often used film-forming method. Glycerol is added as plasticizer in many studies. The proteins are normally dissolved or dispersed in suitable solvents with plasticizers. The resulting solutions or dispersions form free standing films on a plate by casting the mixture and subsequent drying. Posttreatments such as coating, heating, and radiation are also employed to improve film properties. These protein films in general are water sensitive and lack mechanical strength but are good oxygen barriers. Further studies to improve the properties of the films for food packaging materials are also discussed. © 2010 American Institute of Chemical Engineers Environ Prog.

Cai K.,Zhongkai University of Agriculture and Engineering
Advances in Information Sciences and Service Sciences | Year: 2012

Agricultural Internet of things (IOT) is one of the forefront areas in the modern agriculture and it has become the new trend of agricultural development in the 21st century. Besides, the agricultural IOT is a key and kernel technology in the development of agricultural informatization and sustainable realization of the world. Based on the need for agricultural IOT, combined with IOT technology and apply ZigBee wireless sensor networks, Internet and computer software technology, embedded technology, a remote monitoring system of field information is proposed. It focuses on the key factors of early warning in agriculture, such as on-site temperature, relative humidity and so on. In this paper, the critical technical issues of field information monitoring, which is based on IOT, is analyzed. Also, the network topology of sensor network node and the hardware and software design of the sensor network node are present. Finally, the system was developed on the information collection and control systems which had already been successfully used in the agricultural production.

Wu D.,Zhongkai University of Agriculture and Engineering
Journal of Software | Year: 2013

Existing topic tracking methods are mostly for news and forum data, which lack of statistical methods for microblogging on relevant topics. Combined with characteristics of micro-blog information, the paper proposes a microblogging statistical methods based on semantic similarity. Firstly by building topic semantic model and then use the HowNet semantic similarity calculation of two terms, and measures the relevance of the topic and microblogging. Finally statistics method is provided on the degree of correlation. Experiments show that novel method works on the problem soundly. © 2013 ACADEMY PUBLISHER.

Tang Y.,South China University of Technology | Tang Y.,Zhongkai University of Agriculture and Engineering | Li G.Y.,South China University of Technology | Pan Y.C.,South China University of Technology
Journal of Alloys and Compounds | Year: 2013

The influence of TiO2 nanoparticles on the growth kinetics of intermetallic compound (IMC) between Sn-3.0 wt.% Ag-0.5 wt.% Cu-x wt.%TiO 2 (x = 0, 0.02, 0.05, 0.1, 0.3, and 0.6) solder and copper substrate during reflow process has been investigated in this study. Scanning electron microscope (SEM) was applied to observe the microstructural evolution of the solder joints, to measure the thickness of the IMC layer, and to estimate the grain size of the IMC layer. The IMC phases were identified by energy-dispersive X-ray spectroscopy (EDX) and X-ray diffractometry (XRD). Results show that both the thickness and grain size of IMC decrease when TiO2 nanoparticles are added into the Sn-3.0Ag-0.5Cu solder system, and have a significant drop when the weight percentage of TiO2 nanoparticles is about 0.1 wt.%. Beyond this amount, the thickness and grain size of IMC increase slightly. The growth exponents for both the IMC layers and grains are determined by curve-fitting to study the growth kinetics of IMC in the soldering reaction process. Results reveal that the growth exponents of the IMC layer range from 0.354 to 0.358, and those of the IMC grains range from 0.332 to 0.346, which suggests that the growth of the IMC layer is controlled by the combined kinetics process of atomic interdiffusion, interfacial reaction, and grain ripening. These data also show that Sn-3.0Ag-0.5Cu with about 0.1 wt.% TiO2 nanoparticles solder system exhibits the smallest growth rate and gives the most prominent effect in suppressing IMC growth and refining IMC grain size. Based on the theory of adsorption, heterogeneous nucleation, and Ostwald ripening, a mechanism for retarding the IMC growth rate due to TiO2 nanoparticles addition is proposed. © 2012 Elsevier B.V. All rights reserved.

Liu Y.,Zhongkai University of Agriculture and Engineering
Applied Mathematics and Information Sciences | Year: 2013

Aiming at the parameter optimization of least square support vector machine (LS-SVM), an improved quantum-behaved particle swarm optimization (IQPSO) algorithm for LS-SVM parameter selection was proposed. Based on QPSO, the algorithm optimizes particle initializing positions and improves solving speed and precision by sampling and linearizing methods. IQPSO LSSVM model was test by test functions and was compared with QPSO LS-SVM model. Furthermore, it was applied to thread's amount setting of database server in an agricultural producing system. The results show that the proposed model has greater solving speed and higher precision. It can meet the database's load requirement by thread's amount adjustment in agricultural producing system. © 2013 NSP Natural Sciences Publishing Cor.

Lin H.,Zhongkai University of Agriculture and Engineering | Gunasekaran S.,University of Wisconsin - Madison
International Journal of Adhesion and Adhesives | Year: 2010

Adhesives were prepared from cow blood via alkali-modification. Their physicochemical and adhesion properties such as the degree of hydrolysis, viscosity, water solubility, curing time, and bonding strength were measured. The degree of hydrolysis increased with increasing basic pH value. The adhesive exhibited shear-thinning viscous behavior. Both viscosity and shear-thinning character showed a remarkable shift at pH 10.2 and at 50 °C. The curing time decreased with curing temperature within 60-80 °C range. The water solubility of the adhesive was the lowest when sodium silicate, the curing agent, was used during adhesive preparation at a concentration of at least 2.0% (v/v) regardless of the pH value. The adhesive bonding shear strength was independent of the pH and was comparable to that of phenol formaldehyde in the dry condition, but somewhat lower in the wet condition. © 2009 Elsevier Ltd. All rights reserved.

Loading Zhongkai University of Agriculture and Engineering collaborators
Loading Zhongkai University of Agriculture and Engineering collaborators