Research and Design of Simulative System of Elevators Based on Java

设计了控制电梯运行的调度算法；其次，采用面向对象语言编写程序模拟电梯运行，其中使用双缓冲技术来解决电梯图片在刷新过程中出现的闪烁现象；最后，测试该系统的正确性和合理性。     

基于动态平衡视角下现代足球阵型演变的沿革与变迁

拟在动态平衡的视角下对现代足球阵型的演变历程进行梳理与整合，希望对阵型之间的关联及其对足球运动发展的影响提供见解，对阵型演变的不同阶段进行探讨，探寻足球攻守平衡与不同阵型的嬗变关系，同时也为推动未来足球阵型演变对战术打法的影响研究提供参考依据。采用文献资料、系统分析、专家访谈和逻辑分析等方法，对现有的足球阵型发展的概况进行分析之后，认为现代足球阵型的演变历程不断交替出现攻守的平衡与不平衡，正是交替出现的状况促进了阵型的改变，进而影响了阵型的发展。当阵型的发展过程中出现攻守平衡时，就有其它后来者对该阵型进行学习、模仿、改进、提高。当阵型的发展过程中出现攻守不平衡，攻强于守或者守强于攻时，就会促进阵型的演变向攻守平衡的方向发展，因此就会出现阵型的发展处于不平衡-平衡-不平衡-再到平衡的态势，从而形成比赛阵型发展本身的稳定与不稳定状态交替出现。研究认为，世界足球阵型演变的过程是一种动态的、不断发展的、维持某种平衡与稳定的、平衡和不平衡交替运动的情况，即动态平衡的状态。提出将现代足球阵型演变的过程分为不同的阶段，每一个阶段内，都分别出现攻守平衡与攻守不平衡的状态，而这种平衡与不平衡的存在与区别、斗争与转化正是足球阵型演变与发展的规律。     

改进RBF神经网络在我国大豆价格预测中的应用研究

我国大豆价格受国内外多种因素共同影响,具有非线性、随机性和高噪音等特点,采用传统数学模型进行预测,不仅分析难度大,预测误差也很大。RBF神经网络以其优良的逼近性能而被广泛应用于非线性时间序列预测之中。本文提出一种基于遗传算法优化RBF神经网络的我国大豆价格预测模型,该模型为多维输入单维输出的多变量预测模型,模型的初始输入由大豆价格的历史数据和相关影响因素数据组成。采用遗传算法对RBF神经网络输入层节点数、基函数中心、扩展常数和输出层权值进行优化,模型可以从初始输入变量中自主选择最合适的输入变量组合作为模型的输入。采用2009-2014年的大豆价格数据进行预测研究,用2009-2013年的数据作为训练集,2014年的数据作为测试集,改进RBF神经网络通过自主识别和选取中国大豆进口量、中国消费者信心指数和进口大豆到港分销价格3个因素作为相关影响因素的输入。结果表明:模型预测精度较高、泛化能力较强,能够很好捕捉大豆价格变化规律,可为大豆市场价格的准确预报提供参考借鉴。     

Structural,rheological and gelatinization properties of wheat starch granules separated from different noodle-making process

In this study, three typical wheat cultivars (ZM366, AK58, and ZM103) with high, medium, and low gluten strength, respectively, were selected as the raw material. The starch granules separated from different stages of the noodle-making process, including kneading, resting, sheeting, cutting, and drying, were used to explore the structure, dynamic rheology, and quality of the noodles. The D50 (median diameter) of the starch granules decreased during the noodle-making process, and the reduction was enhanced by an increase in the gluten strength of the flour. Between steps 4 and 5 of the noodle-making process, the solubility of ZM103 variety increased from 4.3% to 5.0% at 80 °C, while the peak viscosity decreased from 3626 to 3386 mPa s, which resulted in a decrease in the cooking loss of noodles. Similar trend was observed in the ZM366 and AK58 varieties. The gelatinization enthalpy was reduced, suggesting that the crystalline regions of the starch granules were destroyed during the kneading process. Between steps 4 and 5 of the noodle-making process, the elastic modulus of the starch granules significantly increased, while the temperature at which maximum elastic modulus was decreased, indicating an increase in the crystalline stability of starch during the drying process. Correlation analysis indicated that the changes occurred to the gelatinization property was primarily due to the change in the particle size.     

山东农业科技期刊学术影响力分析与动态评估

利用动态评估模型对2008~2012年山东13种农业科技期刊的学术影响力进行分析。结果显示,2008~2012年中,13种农业类科技期刊的总被引频次和影响因子总体呈上升趋势,5年间,平均总被引频次增加了84.85%,平均影响因子增加了47.35%;平均学术影响力呈快速增长趋势,5年间增长了268%。各期刊发展不均衡,其中,《山东农业科学》和《中国烟草科学》学术影响力分别位居第一和第二,且发展态势良好。     

分块子空间追踪算法

压缩传感理论是一种充分利用信号稀疏性或者可压缩性的全新信号采样理论。该理论表明，通过采集少量的信号测量值就能够实现可稀疏信号的精确重构。本文在研究现有经典重构算法的基础上，提出结合图像分块思想和回溯思想的分块子空间追踪算法（Block Subspace Pursuit, B_SP）用于压缩传感信号的重构。该算法以块结构获取图像，利用回溯过程实现支撑集的自适应筛选，最终实现图像信号的精确重构。实验结果表明，在相同测试条件下，该算法的重构效果无论从主观视觉上还是客观数据上都有不同程度的提高。     

凸齿镇压器作业过程的运动学与动力学分析

[目的]基于理论推导建立凸齿镇压器作业过程中的运动学和动力学模型。[方法]根据运动学中刚体做平面运动的瞬心定理和牵连运动为平动时质点的加速度合成定理,建立凸齿镇压器在不同工作阶段的运动参数模型;根据动力学中的动量定理、动能定理和冲量定理,建立凸齿镇压器工作状态中所需牵引力、凸齿与地面作用瞬间产生的冲击力和冲击能的参数模型。[结果]凸齿镇压器作业过程中所需的牵引力随着凸齿镇压器的自身质量和滚动阻力系数的增加而增大,而凸齿镇压器转动惯量的增加会降低凸齿镇压器所需牵引力;冲击过程中,凸齿镇压器的牵引速度越大、质量和转动惯量越大、冲击时间越短,则冲击力越大;凸齿镇压器冲击土壤时的冲击能随着凸齿的转动惯量、质量和质心竖直向下移动距离的提高而增加,而随土壤的弹性系数与土壤的塑性变形量的增加而减小。[结论]建立了凸齿镇压器在不同工作状态下运动学及动力学模型,分析并揭示了凸齿镇压器结构参数与运动参数间的相互联系,探索了凸齿镇压器冲击土壤的特征规律,为设计和优化其结构参数和运动参数提供了理论依据。     

Landscape Zonation, benefit functions and target-based planning: Unifying reserve selection strategies

The most widespread reserve selection strategy is target-based planning, as specified under the framework of systematic conservation planning. Targets are given for the representation levels of biodiversity features, and site selection algorithms are employed to either meet the targets with least cost (the minimum set formulation) or to maximize the number of targets met with a given resource (maximum coverage). Benefit functions are another recent approach to reserve selection. In the benefit function framework the objective is to maximize the value of the reserve network, however value is defined. In one benefit function formulation value is a sum over species-specific values, and species-specific value is an increasing function of representation. This benefit function approach is computationally convenient, but because it allows free tradeoffs between species, it essentially makes the assumption that species are acting as surrogates, or samples from a larger regional species pool. The Zonation algorithm is a recent computational method that produces a hierarchy of conservation priority through the landscape. This hierarchy is produced via iterative removal of selection units (cells) using the criterion of least marginal loss of conservation value to decide which cell to remove next. The first variant of Zonation, here called core-area Zonation, has a characteristic of emphasizing core-areas of all species. Here I separate the Zonation meta-algorithm from the cell removal rule, the definition of marginal loss of conservation value utilized inside the algorithm. I show how additive benefit functions and target-based planning can be implemented into the Zonation framework via the use of particular kinds of cell removal rules. The core-area, additive benefit function and targeting benefit function variants of Zonation have interesting conceptual differences in how they treat and trade off between species in the planning process.     

遗传算法优化超声辅助低共熔溶剂提取红枣总黄酮工艺研究

本文采用一种新型绿色溶剂提取红枣总黄酮,并对其提取工艺进行优化。通过单因素试验探究含水量、超声功率、提取时间、提取温度和料液比对红枣总黄酮得率的影响。在此基础上,采用遗传算法优化超声辅助低共熔溶剂提取红枣总黄酮工艺。结果表明：超声辅助低共熔溶剂提取红枣总黄酮最优的工艺参数为：含水量37%、超声功率167 W、提取时间30 min、提取温度54 ℃和料液比1∶26（g/mL）。在此条件下,所得红枣总黄酮得率为（29.33±0.37）mg/g。试验值和理论值的相对误差为1.24%。表明遗传算法可较好地模拟和预测不同提取条件下红枣总黄酮得率,且优化工艺参数是可行的。研究发现低共熔溶剂可作为一种新型、绿色溶剂用于高效提取红枣总黄酮。[关键词] 遗传算法|红枣|总黄酮|低共熔溶剂|工艺     

基于模拟退火算法优化给水管线造价公式研究

给水管线造价公式的精确性对工程经济分析与给水管网优化的科学性和经济性有重大影响。通过五个地区的铸铁管综合单价数据,采用最小二乘法对各组数据进行多项式一至十次的拟合,确定了给水管线造价公式的最佳拟合次数为三次;进一步采用模拟退火算法对拟合的多项式参数进行优化计算,求解给水管线造价公式。结果表明:凭借模拟退火算法随机全局搜索模式以及不受函数性质影响的优势,能够克服传统算法难以求解多阶导数的困难,提高公式拟合精度。