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Yanrong Wang,Annan Chen 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
Optimal solution and simulation has been made for model through improved genetic algorithm based on the established mathematical model. Distribution route optimization problem can be solved by algorithm in a better way based on the features of distribution optimization problem of complicated path and through improved genetic algorithm and adding population pretreatment operator; finally, simulation experiment has been made through MATLAB simulation software.
Yanrong Wang,Annan Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11
Green technology innovation is the critical path for enterprises to achieve sustainable development. However, corporate green technology innovation in most cases is affected and constrained by multiple factors. It is featured by multi-factor, multi-target, multi-layer and fuzzy uncertainty, etc. Thus it is of great importance to measure and analyze the performance of corporate green technology innovation. To this end, this paper aims to study the performance measurement of corporate green technology innovation and proposes a performance analysis model based on extension theories for corporate green technology innovation. First, the model analyzed relevant factors that influence performance measurement analysis of corporate green technology innovation. Then, based on the analysis, it established the performance measurement analysis index system of corporate green technology innovation. Meanwhile, the model tried to normalize the different types of measurement analysis indexes after which corresponding classical fields and controlled fields were obtained. It then calculated the extension distances and the extension dependencies between different measurement analysis indexes as well as the classical fields and the controlled fields. The size of the extension dependency revealed the ability levels of corporate green technology innovation. Lastly, the model was tested by specific cases.
Xianjun Wang,Junzhen Di,Bing Liang,Yu Yang,Yanrong Dong,Mingxin Wang 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.5
In view of the serious pollution and high cost of treatment of acid mine drainage (AMD) in coal mine, the polyving akohol (PVA) and boric acid embedding cross-linking method was used to prepare the immobilized particles for treatment of AMD with sulfate-reducing bacteria (SRB) and nano zero-valent iron (nano-Fe⁰) as the main body. In order to explore the specification and dosage of each matrix component of immobilized particle, a series of single factor tests and orthogonal tests were carried out to determine the optimal ratio of each matrix component. The results shows that when the SRB quality additive percentage was 30%, the nano-Fe0 dosage was 4%, the corn cob particle size was 60 mesh and the dosage was 3%, the SO₄<SUP>2-</SUP>, Cr<SUP>6+</SUP> and Cr<SUP>3+</SUP> removal rates were 82.99%, 99.78% and 38.78%, respectively, the TFe and COD release rates were 4.26 ㎎·L<SUP>-1</SUP> and 1,033.4 ㎎·L<SUP>-1</SUP>, respectively, and the pH value was 8.04, and the treatment effect was the best.
Wang, Dan,Liu, Wenjun,Ren, Yan,De, Liangliang,Zhang, Donglei,Yang, Yanrong,Bao, Qiuhua,Zhang, Heping,Menghe, Bilige Korean Society for Food Science of Animal Resource 2016 한국축산식품학회지 Vol.36 No.4
In this study, traditional culture method and 16S rRNA gene analysis were applied to reveal the composition and diversity of lactic acid bacteria (LAB) of fermented cow milk, huruud and urum from Baotou and Bayannur of midwestern Inner Mongolia. Also, the quantitative results of dominant LAB species in three different types of dairy products from Baotou and Bayannur were gained by quantitative polymerase chain reaction (q-PCR) technology. Two hundred and two LAB strains isolated from sixty-six samples were identified and classified into four genera, namely Enterococcus, Lactococcus, Lactobacillus, Leuconostoc, and twenty-one species and subspecies. From these isolates, Lactococcus lactis subsp. lactis (32.18%), Lactobacillus plantarum (12.38%) and Leuconosto mesenteroides (11.39%) were considered as the dominated LAB species under the condition of cultivating in MRS and M17 medium. And the q-PCR results revealed that the number of dominant species varied from samples to samples and from region to region. This study clearly shows the composition and diversity of LAB existing in fermented cow milk, huruud and urum, which could be considered as valuable resources for LAB isolation and further probiotic selection.
Research on E-commerce Consumer Behavior Prediction based on Rough Sets
Yanrong Zhang,Zhijie Zhao,Jing Yu,Kun Wang 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4
To solve the traditional problem of knowledge acquisition bottleneck in e-commerce, an improved algorithm of attribute reduction based on discernibility matrix is proposed. The algorithm is used to attribute reduction for e-commerce consumer behavior prediction. With rule extraction model of rough sets, the rules of e-commerce consumer behavior prediction are acquired. Practical example of consumer behavior prediction shows that the proposed approach can be handled found knowledge effectively and can be converted the available rules easily. It has strong ability of fault tolerance and can improve the speed and quality of knowledge acquisition. The method has good practical value.
Dan Wang,Wenjun Liu,Yan Ren,Liangliang De,Donglei Zhang,Yanrong Yang,Qiuhua Bao,Heping Zhang,Bilige Menghe 한국축산식품학회 2016 한국축산식품학회지 Vol.36 No.4
In this study, traditional culture method and 16S rRNA gene analysis were applied to reveal the composition and diversity of lactic acid bacteria (LAB) of fermented cow milk, huruud and urum from Baotou and Bayannur of midwestern Inner Mongolia. Also, the quantitative results of dominant LAB species in three different types of dairy products from Baotou and Bayannur were gained by quantitative polymerase chain reaction (q-PCR) technology. Two hundred and two LAB strains isolated from sixty-six samples were identified and classified into four genera, namely Enterococcus, Lactococcus, Lactobacillus, Leuconostoc, and twenty-one species and subspecies. From these isolates, Lactococcus lactis subsp. lactis (32.18%), Lactobacillus plantarum (12.38%) and Leuconosto mesenteroides (11.39%) were considered as the dominated LAB species under the condition of cultivating in MRS and M17 medium. And the q-PCR results revealed that the number of dominant species varied from samples to samples and from region to region. This study clearly shows the composition and diversity of LAB existing in fermented cow milk, huruud and urum, which could be considered as valuable resources for LAB isolation and further probiotic selection.
Combined Effects of High-pressure and Thermal Treatments on Lipid Oxidation and Enzymes in Pork
Yechuan Huang,Yanrong Wang,Zhaomin Wu,Feng Li 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.1
The relationship between lipid oxidation and related enzymes in pork during combined pressure-heat treatments was investigated. Minced pork was treated under a pressure range of 0.1- 750 MPa and a temperature range of 30-60oC for 20 min. Thiobarbituric acid-reactive substances (TBARS) values and activities of acid lipase (AL), neutral lipase (NL), phospholipase (PL), and lipoxygenase (LOX) in pork were evaluated. NL and LOX were completely inactivated at 600 MPa-50oC and 450 MPa-60oC, and AL at 600MPa-55oC. PL had the greatest stability and was completely inactivated at 600 MPa-60oC and 750 MPa-50oC. PL activity was strongly related to lipid oxidation caused by high pressure, followed by AL and LOX. TBARS values at 600 and 750 MPa were strongly related to the inactivation rate and the ratio of PL during treatment. PL was the most important enzyme related to lipid oxidation induced by pressure.
Effect of Front and Rear Rotor Stages on Aeroelasticity in Multi-Stage Environment
Xiaobo Zhang,Yanrong Wang,Xianghua Jiang,Zhizhong Fu 한국항공우주학회 2019 International Journal of Aeronautical and Space Sc Vol.20 No.1
An energy method based on the mixing-plane model and phase lagged boundary condition has been developed to estimate the flutter characteristics of rotor blades in multi-stage environment. The effects of front and rear rotor stages on the aerodynamic damping of the rotor blades have been investigated using this method. The results show that the mixing-plane model enables to consider the averaging effect of the other stages on the aeroelasticity of the checked rotor blades without having to perform the unsteady full annual multi-stage (FAMS) flow computations. Comparing with the isolated rotor blade, the upstream and downstream rotor stages have a significant influence on the aeroelasticity of the rotor blade with altering the intensity and location of the shock wave and separation flow region on suction surface. It is worth to point out that the neighbor rotor stages reduce the effect of the inter-blade phase angle (IBPA) on the aerodynamic damping. Moreover, the impact of the rear rotor stage on aerodynamic damping of the rotor blade is more remarkable than that of the front one. Compared to the measured data, the capability of this method used in the aeroelasticity assessment of a multi-stage turbomachine has been validated. Furthermore, the relationship between the aerodynamic damping and the motion of the shock wave has been revealed, which can assist the compressor design.
Mistuning Effects on Aero-elastic Stability of Contra-Rotating Turbine Blades
Xiaobo Zhang,Yanrong Wang 한국항공우주학회 2019 International Journal of Aeronautical and Space Sc Vol.20 No.1
The aero-elasticity of contra-rotating turbine blades has been evaluated by employing the energy method and the aero-elastic eigenvalue method, which is different from the normal turbine blades with HPT wake impinging on the LPT directly. The effects of two different intentional mistuning patterns and random mistuning with standard deviation from 0.1 to 1% on aeroelastic stability of the low-pressure turbine (LPT) blades have been investigated by use of the eigenvaluemethod. Studies show that the best stabilized effect can be obtained with a specific distribution of mistuning amount for alternate and sinusoidal patterns. The random mistuning can improve the stability of tuned system with the increase of the standard deviation. But when the standard deviation is greater than 0.6%, the improving effect is invariable. For the mistuned system, the random mistuning decreases the stability of the intentional mistuned system and the optimal mistuning pattern has been changed. Additionally, when the standard deviation of the random mistuning is fixed, the mistuning amount has a more significant effect on the alternate mistuning than the sinusoidal mistuning.