动物学野外实习教学模式的创新与探索

动物学野外实习是动物学实验的延伸和发展,能够有效培养学生的综合科研素养。文中结合学院多年野外实习经验,并针对当前大类招生及课时压缩现状,从动物学野外实习教学模式改革、动物学实习基地调研及动物资源评价和动物学野外实习教学实践成效分析等方面,探讨了如何充分利用国家级和省级自然保护区,并创新动物学野外实习模式,搭建创新人才培养平台,为培养综合科研素质高的本科生后备人才奠定基础。     

Settlement Prediction of Dredger Fill with the Optimal Combination Model

Post-construction settlement has gained increasing attention because it frequently causes engineering problems. A combined model is a commonly used prediction model that overcomes the difficulty of a single model（ i. e., cannot reflect various regulations of settlement at some stages or the entire process）. In this study,the correlation coefficient,maximum error values,and other values were obtained according to the fitting and predicted results of a single model. The coefficient of variation was then introduced to determine the weight of each model forming the combination. The proposed model was used to fit and predict for settlement and overcome the issue of utilizing a single model while determining the weight. The fitting predictive effect was also analyzed using the settlement fitting precision results. The fitting precision of optimizing the combination model is high. The predicted data of the post-construction settlement are closer to the calculated value of the settlement monitoring data. Moreover,the proposed model has good practicability,does not require the interval data of settlement,and restricts the model number. Thus,this model can be applied in the engineering field.     

Yarn Quality Prediction and Diagnosis Based on Rough Set and Knowledge-Based Artificial Neural Network

In the spinning process, some key process parameters（ i. e.,raw material index inputs） have very strong relationship with the quality of finished products. The abnormal changes of these process parameters could result in various categories of faulty products. In this paper, a hybrid learning-based model was developed for on-line intelligent monitoring and diagnosis of the spinning process. In the proposed model, a knowledge-based artificial neural network（ KBANN） was developed for monitoring the spinning process and recognizing faulty quality categories of yarn. In addition,a rough set（ RS）-based rule extraction approach named RSRule was developed to discover the causal relationship between textile parameters and yarn quality. These extracted rules were applied in diagnosis of the spinning process, provided guidelines on improving yarn quality,and were used to construct KBANN. Experiments show that the proposed model significantly improve the learning efficiency, and its prediction precision is improved by about 5. 4% compared with the BP neural network model.     

混凝土箱梁日照温度场仿真分析

混凝土箱梁的日照温度场可通过理论分析并进行仿真分析,建立箱梁的有限元分析模型,对箱梁的日照温度场进行仿真分析,分别对箱梁各结构面温度的时程变化和各结构面的温差分布情况进行分析.分析结果表明,顶板、底板、腹板外表面的最高温度均出现在14:00,各板内表面的出现最高温度相对于外表面存在滞后,出现时刻为20:00.箱梁各板在日照作用下会出现相应的横向温差,沿梁高方向的竖向温差在14:00达到15.69℃.     

新颖场强测试仪的分析与设计

分析了高频无线信号在自由空间的传播规律及接收端场强信号的计算方法,设计了一种新颖高精度、便携带、稳定性好的场强测试仪.该系统以MSP430G2553为核心,通过高放、检波、低放等电路,将检测到的无线信号经过处理后输给单片机,MSP430G2553中AD10将检测到的场强信号转变为数字信号,并在LCD12864上显示场强信号的大小,实测结果表明该系统具有良好的测试精度.     

上市公司财务困境教学案例分析——以民和牧业为例

本文主要以一家上市公司民和牧业(002234)为例,从盈利能力、营运能力、偿债能力、成长能力、现金流量、杠杆系数和非财务指标等方面分析该公司从2009年至2013年的公司发展营运状况,由此判断它在2014年被特别处理(ST)的原因。     

邢台矿建筑物下充填开采沉陷规律的研究

为了保护井巷、建筑物、水体以及铁路等,使它们免受或少受开采的有害影响,减少地下资源的浪费,邢台矿首次采用建筑物下综合机械化充填采煤技术进行工业广场下开采,本文介绍了建筑下综合机械化充填采煤技术的主要思路,针对7606充填工作面建立岩移观测站,总结了开采沉陷规律及预计参数,并通过7608充填工作面对预计参数进行验证。结果显示:预计移动参数选取合理,预计方法正确,预计结果能较好的反映矸石粉煤灰充填开采的地表移动变形规律。     

基于小波分解的统计模型对小时风速的预测

为提高小时风速的预测精度,提出了基于小波分解和AR模型的混合模型(WD-AR).模型应用小波分解技术将风速序列进行多层分解,再利用AR模型分别对各分解层的风速序列进行预测,最后将预测结果叠加得到预测值.采用河西地区风速观测数据对模型进行分析验证,结果表明:WD-AR模型预测精度指标R,RMSE和MAP E值分别是0.89,0.36和27%,与AR模型相比有了较大的改善,提高了小时风速的预测精度,说明WD-AR模型具有更好的预测能力.     

水库水温分层的流场分析

水库水温分层是流体密度流现象的一种,其形成受库区内流场、太阳辐射和表层热交换的共同影响,而水温分层状态的出现又将影响水库来流在库区的流动过程和出库水流的温度.以流场与温度场耦合计算的立面二维水库水温模型为基础,对水温分层的主要影响因素进行了理论分析,结合数值模拟讨论了温度场与流场的相互作用,对分层状态与来流发展特别是与垂向流动的关系进行了剖析.认为一定的来流水温差和表层热通量是水库形成分层状态的必要条件;水库表层温跃层对紊动扩散的抑制使温跃层内纵向和垂向动量均低于层外水体,上游来流高温水遇此温跃层之后易被阻碍而形成密度流下潜;双温跃层主要由高温流动层通过紊动不完全侵蚀底部低温水层而形成;水库底部回流区方向受主流动层流线方向控制并随主流动层流线趋于水平而被压缩;泄流孔口高程处主流动层形成的流速切应变使附近温度梯度减小,等温线趋于稀疏,主流动层随流量增加而增厚.     

单声道超声流量计不同声道布置形式的流场适应性

流量计安装条件对其测量性能的影响是流量测量领域的一个重要问题.基于实流实验与数值仿真相结合方法,对单声道超声流量计的5种声道布置形式进行研究,对其在3种典型的阻流件(单弯头、双弯头、渐缩管与单弯头组合)下游的测量性能进行数值仿真,提出了流场敏感误差和流场敏感因子2个评价指标来表征超声流量计的流场适应性.结果表明:三角形声道布置方式对这3种非理想流场均有较好的适应性;超声流量计对流场的敏感程度与其声道反射次数没有必然联系,关键是合理布置声道位置.