口蹄疫疫苗免疫效果跟踪试验报告

本试验用中农威特生物科技股份有限公司生产的猪O型口蹄疫灭活苗免疫两个不同的猪场,其中一个猪场由于母源抗体水平较高,免疫效果不理想,另一个猪场在免疫后36d、51d跟踪检测抗体,合格率为90%;用中农威特生物科技股份有限公司生产的O型-亚Ⅰ型口蹄疫二价灭活苗免疫两个不同的奶牛场,O型抗体水平明显高于亚Ⅰ型抗体水平。     

兼顾排涝标准与水质净化要求的农业圩区最优水面率确定

针对农业圩区的排涝以及水环境问题,该研究以江苏里下河地区为研究对象,以满足里下河圩区设计排涝标准与水质净化要求为目标,构建农业圩区坑塘-排水沟道湿地系统最优水面率数学模型.模型以工程系统总费用现值最小为目标函数,以泵站涝水外排能力与圩内水面率、水面率上下限、水环境容量与圩内坑塘与排水沟道系统的关系(主要包括圩内坑塘沟道...     

典型土壤中有效态镉CaCl2提取条件优化研究

为了研究CaCl2提取不同类型土壤中有效态镉的优化条件,以中国南方酸性水稻土和西北中偏碱性灰钙土为研究对象,探讨不同浓度CaCl2提取剂和不同提取时间对2种土壤中镉提取量的影响.结果表明,CaCl2提取的镉主要为土壤中的水溶态镉与部分交换态镉;0.01 mol/L CaCl2浸提下,酸性水稻土在3h达到平衡,提取量占土壤中水溶态与交换态镉含量之和的4.68％～54.90％,灰钙土仅需1h就达到平衡,但提取量占土壤中水溶态与交换态镉含量之和的3.60％～3.89％;0.1 mol/L CaCl2浸提下,水稻土需12h才达到平衡,提取量占土壤中水溶态与交换态镉含量之和的83.28％～90.32％,灰钙土3h达到平衡,提取量占土壤中水溶态与交换态镉含量之和的44.21％～45.26％;提取剂CaCl2浓度越高,镉提取量就越大,达到平衡所需要的时间也越长;0.1 mol/L CaCl2比0.01 mol/L CaCl2更适宜酸性水稻土和中偏碱性灰钙土有效态镉的提取,水稻土和灰钙土所需的提取时间分别为12h和3h.     

对小兴安岭野生及栽培蓝莓品种花青素提取条件的优化

选取7个蓝莓引进品种和1个野生品种,均在伊春地区生长、产果良好.对鲜果花青素含量测定发现,品种北陆花青素含量最高;采用超声波辅助乙醇浸提法提取花青素,分别考察浸提PH值、浸提时间、浸提温度及浸提液乙醇体积分数对蓝莓花青素提取率的影响,并根据4个因子设计L9（34）正交试验,最佳提取工艺条件为：PH为3.0,浸提温度为50℃,浸提时间为60 min,浸提剂乙醇体积分数为50％;在此工艺条件下,蓝莓花青素提取率达到最大值,即6.5％.     

遗传算法对5种理论生长方程的最优拟合研究

利用北美林肯小区黄杉6个分期的数据,选择Logistic、Richards、Korf、Gompertz和Mitscherlich 5种生长方程建立胸径随年龄变化的生长模型.分别利用遗传算法和传统拟合方法确定参数,并对拟合效果进行对比分析.研究结果显示：遗传算法对于Richards和Korf方程的拟合精度要明显高于传统拟合方法,对于Logistic、Gompertz以及Mitscherlich方程的拟合精度几乎一致.通过将检验数据带入由遗传算法拟合的方程中,除拟合后不符合生物学意义的Korf方程外,发现由剩下4种方程计算得到的预测值与实际值无明显差异（P值均大于0.05）.最终表明遗传算法对生长方程的最优拟合较传统拟合方法更有优势.     

改进遗传算法求解作业车间提前/拖期调度问题

为解决作业车间提前/拖期调度问题,提出一个以最小惩罚为目标的改进遗传算法。该算法采用双染色体矩阵编码方式,利用部分映射交叉重排算子对父代个体进行交叉操作,提供了一种可以保留较高适应度个体的记忆功能,并利用爬山算法对记忆库进行更新,提高算法的局部搜索能力及收敛速度。仿真实验表明,与其他算法相比,该算法的搜索效率更高,收敛性能更好,求解的调度方案更优。     

基于SSR分子标记的杜仲遗传多样性体系建立

In order to set up the genetic diversity system of Eucommia ulmoides Oliver based on SSR molecular markers, the establishment of SSR-PCR reaction system and screening out SSR marker primer showing high polymorphism were studied. A L₉(3⁴) orthogonal design was performed to optimize the main factors of the SSR-PCR reaction system. The results indicated that the best SSR-PCR reaction system for E.ulmoides was DNA template 1 μL (30~60 ng·μL^-1), 2×Taq PCR Master Mix 10 μL, primer 1 μL with the total volume of 25 μL. The PCR reaction system had high stability and repeatability, the pairs of SSR primers with high polymorphism were gotten. The 8 E.ulmoides samples' DNA sequence was amplified with 13 pairs of SSR primers by SSR-PCR technique, 34 alleles were detected, 2.6 alleles were detected from per site on average. Each allele's effective number was 1.751 5, and the h value was 0.379 8, the average I value was 0.643 3. This study is helpful in using SSR molecular marker to analyze genetic diversity and genetic relationship in E. ulmoides.     

Analysis on the optimum dynamic quality of wireless mesh network

In order to procure the optimum quality of control for full-controlled wireless mesh network, the primary influencing factor network time delay is analyzed. In order to get the optimum quality of control,the minimum network time delay should be acquired,and the algorithm of branch and bound is given to solve this problem. According to the numerical simulation, the quality of control for the whole network system with decreasing the delay time can be optimized by adjusting the number of nodes, the average transmission hop counts, and the probability of successful channel access and transmission for random nodes.     

Partial discharge pattern recognition based on S transform and two-directional 2DPCA

A new feature extraction method is proposed to recognize different types of partial discharge (PD) signals. Firstly,four typical categories of PD artificial defect models are made and S transform (ST) is employed to obtain a time-frequency representation of the recorded UHF signals. Then,two-directional two-dimensional principal component analysis ((2D) 2PCA) is applied to compress the ST amplitude (STA) matrix to extract features. Finally,support vector machine (SVM) combined with particle swarm optimization (PSO) algorithm is introduced to accomplish the recognition of experimental samples. Classification results demonstrate that the average recognition rate of (10,5) combination is the highest while the one of (5,5) combination is the lowest among four kinds of feature dimension combinations. Moreover,PSO can obviously improve the classification performance of SVM. Specifically,all the average recognition rates of PSO-SVM are higher than 94.43%and the maximum value comes to 97.67%. Therefore,the feature sets extracted by ST and (2D) 2PCA can not only achieve dramatic dimension reduction,but also retain the major information of original data. It is proved that the proposed algorithm can obtain ideal results in PD pattern recognition.     

An efficient combination of genetic ant colony algorithm in QoS routing

Existing genetic ant colony algorithm has the problem of poor integration and prone to congestion. In response to this phenomenon, this article put forward an efficient combination of genetic ant colony algorithm based on the advantages of different periods of the genetic algorithm and ant colony algorithm. The algorithm proposes a new fusion mechanism on the basis of the consideration relationship of the genetic algorithm groups. And an anti-congestion reward and punishment mechanism is introduced to alleviate the load pressure of the system nodes. The experimental results show that the algorithm can guarantee the efficiency of the system transmission, at the same time it can effectively prevent data packet loss. Compared with the traditional algorithm, it has the advantages of high efficiency, low energy and anti-dropout.