以低盐泡菜为研究对象,动态跟踪发酵过程中的乳酸菌总量、群落结构和动态变化,结果显示:乳酸菌快速生长并启动泡菜发酵。采用可培养方法,从中分离得到乳酸菌共计245株。采用16S r RNA测序结合RAPD、种特异性PCR、RFLP、API50CHL等方法,...以低盐泡菜为研究对象,动态跟踪发酵过程中的乳酸菌总量、群落结构和动态变化,结果显示:乳酸菌快速生长并启动泡菜发酵。采用可培养方法,从中分离得到乳酸菌共计245株。采用16S r RNA测序结合RAPD、种特异性PCR、RFLP、API50CHL等方法,鉴定出泡菜中的乳酸菌包括5个属,10个种。发酵前期(0 d和1 d)分离到最多的乳酸菌是乳酸乳球菌和食窦魏斯氏菌,而发酵中、后期(3 d后)分离到的主要乳酸菌是戊糖乳杆菌,发酵中、后期戊糖乳杆菌的丰度在90%以上,结合可培养与免培养(定量PCR)定量结果以及分离到的乳酸菌在模拟泡菜水中生长性能,低盐泡菜发酵前期的主要优势菌群是乳酸乳球菌和食窦魏斯氏菌,发酵中、后期的主要优势菌群是戊糖乳杆菌。由于发酵前期泡菜水适合所有乳酸菌生长,因此该阶段的优势菌群很大程度上取决于发酵起始原料中的微生物群落构成,发酵中、后期分离得到的乳酸菌具有更好的酸耐受性。展开更多
As an effective solution for indoor coverage and service offioading from the conventional cellular networks, femtocells have attracted a lot of attention in recent years. This study investigates the resource block （R...As an effective solution for indoor coverage and service offioading from the conventional cellular networks, femtocells have attracted a lot of attention in recent years. This study investigates the resource block （RB） and power allocation in heterogeneous networks （HetNets）. Specifically, the concern here is to maximize the signal to interference-plus-noise ratio （SINR） of macrocell and energy efficiency of femtocell while providing the finite interference. In this paper, the system model is divided to two layers, in which the macro base station and clusters constitute the first layer network; femtocells in cluster make up the second layer network. Because of the different model structures, different game theories are used in different layers. Stackelberg game is used in the first layer, and non-cooperation game is used in the second layer. Meanwhile RB and power levels stand for the actions that are associated with each player in the game. The problem of resource allocation is formulated as a mixed integer programming problem. In order to minimize the complexity of the proposed algorithm, the resource allocation task is decomposed into two sub problems： a RB allocation and a power allocation. The result is compared with the traditional methods, the analysis illustrates the proposed algorithm has a better performance regarding SINR and energy efficiency of the heterogeneous networks.展开更多
基金supported by national science and technology major project of the Ministry of Science and Technology (2015ZX03001034)the National Natural Science Foundation of China (61302080)
文摘As an effective solution for indoor coverage and service offioading from the conventional cellular networks, femtocells have attracted a lot of attention in recent years. This study investigates the resource block （RB） and power allocation in heterogeneous networks （HetNets）. Specifically, the concern here is to maximize the signal to interference-plus-noise ratio （SINR） of macrocell and energy efficiency of femtocell while providing the finite interference. In this paper, the system model is divided to two layers, in which the macro base station and clusters constitute the first layer network; femtocells in cluster make up the second layer network. Because of the different model structures, different game theories are used in different layers. Stackelberg game is used in the first layer, and non-cooperation game is used in the second layer. Meanwhile RB and power levels stand for the actions that are associated with each player in the game. The problem of resource allocation is formulated as a mixed integer programming problem. In order to minimize the complexity of the proposed algorithm, the resource allocation task is decomposed into two sub problems： a RB allocation and a power allocation. The result is compared with the traditional methods, the analysis illustrates the proposed algorithm has a better performance regarding SINR and energy efficiency of the heterogeneous networks.
