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Su Feng,Weicai Zeng,Fan Luo,Jian Zhao,Zhirong Yang,Qun Sun 한국식품과학회 2010 Food Science and Biotechnology Vol.19 No.1
Pine needle (Pinus massoniana Lamb.) of large quantity in China and health benefit makes its application on pharmaceutical and food industry in high demand. The chemical composition of pine needle aqueous extract (PNAE) analyzed by gas chromatograph-mass spectrometry revealed that among more than 10 compounds in PNAE,organic acids were over 76.92%, with acetic acid being 25.20%, hexadecanoic acid 18.19%, and 2-methoxy-4-vinylphenol 16.44%. Ultra-performance liquid chromatography-mass spectrometry disclosed other 5 short chain organic acids, including citric acid, succinic acid, malonic acid, malic acid, and oxalic acid. The antibacterial activity of PNAE on common spoilages and pathogenic bacteria showed that the growth of Bacillus subtilis, Staphylococcus aureus, Bacillus cereus, Micrococcus luteus, Escherichia coli, and Proteus vulgaris were inhibited significantly, with minimum inhibitory concentrations and minimum bactericidal concentrations being 3.8-15 and 7.5-30 mg/mL, respectively. Our findings suggested that pine needles with effective and safe antibacterial components possess the potential to be developed into efficacious natural antiseptic products for food disinfection and medical purpose.
Direct Adaptive Fuzzy Sliding Mode Control for Under-actuated Uncertain Systems
Su, Shun-Feng,Hsueh, Yao-Chu,Tseng, Cio-Ping,Chen, Song-Shyong,Lin, Yu-San Korean Institute of Intelligent Systems 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.4
The development of the control algorithms for under-actuated systems is important. Decoupled sliding mode control has been successfully employed to control under-actuated systems in a decoupling manner with the use of sliding mode control. However, in such a control scheme, the system functions must be known. If there are uncertainties in those functions, the control performance may not be satisfactory.In this paper, the direct adaptive fuzzy sliding mode control is employed to control a class of under-actuated uncertain systems which can be regarded as a combination of several subsystems with one same control input. By using the hierarchical sliding control approach, a sliding control law is derived so as to make every subsystem stabilized at the same time. But, since the system considered is assumed to be uncertain, the sliding control law cannot be readily facilitated. Therefore, in the study, based on Lyapunov stable theory a fuzzy compensator is proposed to approximate the uncertain part of the sliding control law. From those simulations, it can be concluded that the proposed compensator can indeed cope with system uncertainties. Besides, it can be found that the proposed compensator also provide good robustness properties.
Su, Shun-Feng,Yeh, Jen-Wei Korean Institute of Intelligent Systems 2014 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.14 No.4
Neural fuzzy system (NFS) is basically a fuzzy system that has been equipped with learning capability adapted from the learning idea used in neural networks. Due to their outstanding system modeling capability, NFS have been widely employed in various applications. In this article, we intend to discuss several ideas regarding the learning of NFS for modeling systems. The first issue discussed here is about structure learning techniques. Various ideas used in the literature are introduced and discussed. The second issue is about the use of recurrent networks in NFS to model dynamic systems. The discussion about the performance of such systems will be given. It can be found that such a delay feedback can only bring one order to the system not all possible order as claimed in the literature. Finally, the mechanisms and relative learning performance of with the use of the recursive least squares (RLS) algorithm are reported and discussed. The analyses will be on the effects of interactions among rules. Two kinds of systems are considered. They are the strict rules and generalized rules and have difference variances for membership functions. With those observations in our study, several suggestions regarding the use of the RLS algorithm in NFS are presented.
Mao-feng Yue,Ren-chao Zhou,Ye-lin Huang,Guo-rong Xin,Su-hua Shi,Li Feng 한국식물학회 2010 Journal of Plant Biology Vol.53 No.2
High levels of genetic variation enable species to adapt to changing environments and provide plant breeders with the raw materials necessary for artificial selection. In the present study, six AFLP primer pairs were used to assess the genetic diversity of Desmodium triflorum (L.)DC. from 12 populations in South China. A high percentage of polymorphic loci (P=76.16%) and high total gene diversity (HT=0.310) were found, indicating that the genetic diversity of D. triflorum is high at the species level. Genetic diversity was also relatively high at the population level (P=55.85%, He=0.230). The coefficient of gene differentiation among populations (GST) was 0.255, indicating that while most genetic diversity resided within populations, there was also considerable differentiation among populations. AMOVA also indicated 24.29% of the total variation to be partitioned among populations (ΦST=0.243). UPGMA clustering analysis based on genetic distances showed that the 12 populations could be separated into three subgroups: an eastern, a western, and a central-southern subgroup. However, a Mantel test revealed no significant correlation (r=0.286, p=0.983)between the geographical distances and genetic distances separating these populations; mountain barriers to gene flow and human disturbance may have confounded these correlations. The present study has provided some fundamental genetic data that will be of use in the exploitation of D. triflorum.
Direct Adaptive Fuzzy Sliding Mode Control for Under-actuated Uncertain Systems
Shun-Feng Su,Yao-Chu Hsueh,Cio-Ping Tseng,Song-Shyong Chen,Yu-San Lin 한국지능시스템학회 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.4
The development of the control algorithms for under-actuated systems is important. Decoupled sliding mode control has been successfully employed to control under-actuated systems in a decoupling manner with the use of sliding mode control. However, in such a control scheme, the system functions must be known. If there are uncertainties in those functions, the control performance may not be satisfactory. In this paper, the direct adaptive fuzzy sliding mode control is employed to control a class of under-actuated uncertain systems which can be regarded as a combination of several subsystems with one same control input. By using the hierarchical sliding control approach, a sliding control law is derived so as to make every subsystem stabilized at the same time. But, since the system considered is assumed to be uncertain, the sliding control law cannot be readily facilitated. Therefore, in the study, based on Lyapunov stable theory a fuzzy compensator is proposed to approximate the uncertain part of the sliding control law. From those simulations, it can be concluded that the proposed compensator can indeed cope with system uncertainties. Besides, it can be found that the proposed compensator also provide good robustness properties.