手机银行持续使用影响因素整合模型研究——基于ECM和TAM的视角

文章回顾了信息系统持续使用行为影响因素的研究进展,根据手机银行的特点,在期望确认模型(ECM)和技术接受模型(TAM)的基础上引入感知易用性、感知风险、感知成本、社会规范等方面的因素,提出了一个手机银行用户持续使用意愿影响因素的整合研究模型,并结合该模型,对银行发展手机银行、促使客户持续使用手机银行提出几点建议。教育部新世纪人才计划“网络环境下组织之间协调机制的研究”(项目号:0610-X12107

Measurement of Complex Permittivity for Dielectric Ceramics at Microwave Frequencies

讨论了平行板开放型介质谐振器技术,建立自动化测试系统,实现对高介低损的微波陶瓷材料复介电常数高效测量结果表明,该系统测试精度较高、重复性好,样品制作简单,可满足微波介质陶资材料测量的实际需要。国家863计划(2001AA325100)资助项

Test of Radio Frequency Ceramic Chip Capacitors

以共面波导作为测试夹具,用射频矢量网络分析仪对小尺寸、小容量的贴片式电容进行扫频测量。结合微波网络理论进行分析,并应用最小二乘法拟合计算后,得出的贴片式电容的测量值与标称值吻合较好,说明该方法可行。国家863计划(2001AA325100)资助项

第十八届美国理论与应用力学大会总结

1会议概况2018年6月5—9日,第18届美国理论与应用力学大会(18th U.S. National Congress of Theoretical and Applied Mechanics, USNCTAM2018)在美国芝加哥召开.本次大会由美国力学国家委员会和中国力学学会联合主办,旨在探讨和交流近四年世界范围内在理论和应用力学领域的基础研究、创新技术的最新进展,吸引了来自世界各地的近千名专家学

Study on the Nutrient Content of Bamboo Leaves and Soil in Coastal Region of Fujian

第一作者简介：陈松河，男， 1968年出生，福建长泰人，研究员，硕士生导师，硕士，主要从事园林植物（竹类）分类、栽培与抗逆性研究。通信地址： 361003厦门市思明区虎园路 25号， Tel：0592-2039619，E-mail：[email protected]。[中文文摘]为了研究福建滨海地区竹类叶片与土壤养分状况,对福建滨海3地厦门园博苑百竹园、莆田赤港华侨农场竹园和莆田湄洲岛竹类植物叶片和土壤养分进行实地调查取样分析。结果表明:3地17种竹类成熟叶片和衰老叶片氮(N)、磷(P)含量存在显著差异,且存在明显的地域性差异;竹类生长土壤氮(N)含量均值大小依次为厦门园博苑0.3697mg/g、莆田赤港0.2820mg/g、莆田湄洲岛0.1921mg/g;磷(P)含量均值大小依次为莆田湄洲岛0.3926mg/g、厦门园博苑0.3134mg/g、莆田赤港0.2152mg/g;莆田赤港和莆田湄洲岛10种竹类成熟叶片叶绿素a含量(Ca)和叶绿素b含量(Cb)均值比达到2.17,Ca和Cb间经11种单因子模型拟合,最优的拟合方程为:YA=0.9699+3.7374B-0.7166B2+0.0439B(3A代表Ca,B代表Cb),相关系数的平方达0.934,呈极显著相关关系;竹类植物盐害等级为0级的有5种,盐害等级为1级的有10种,盐害等级为2级的有2种,盐害等级为3级以上的未见。[英文文摘]In order to study nutrient status in bamboo leaves and soil,3 coastal region in Fujian, Xiamen Garden & Flower Expo (XMYB), Farm for Returned Overseas Chinese in Putian (PTCG) and Meizhou Island of Putian (PTMZ) were studied in this paper by field investigation and sampling analysis. The results were shown as follows: the content N and content P in mature and senescent of 17 species leaves in 3 coastal region were significant difference, also significant difference in region. The average value content N of bamboo soil inXMYB, PTCG, PTMZ were 0.3697, 0.2820, 0.1921 mg/g in turn. The average value content P of bamboo soil inPTMZ, XMYB, PTCG were 0.3926, 0.3134, 0.2152 mg/g in turn. The proportion of 10 mature bamboo speciesaverage value between content Ca and content Cb was 2.17, through 11 models of single factor analysis, the relation between the bamboo’s chlorophyll a content and chlorophyll b content accorded with model cubic: YA= 0.9699 + 3.7374B-0.7166B2 + 0.0439B3 (A stands for content Ca, B stands for content Cb), the square of itscorrelation coefficient was 0.934, it was very significant. Bamboo salt damage 0 degree had 5 species, 1 degreehad 10 species, 2 degree had 2 species, no species in 3-5 degree.厦门市科学技术局科研项目“竹类植物耐盐机理与筛选应用研究”(3502Z20102003);厦门市市政园林局科研项目“竹类植物在观赏园艺上的应用研究”(YK-2000-02

全矢深度学习在轴承故障诊断中的应用

为了应对日趋庞杂的故障监测系统数据,针对单通道信号存在的信息遗漏以及传统智能诊断手工提取特征的复杂性和不通用性,提出了全矢深度学习滚动轴承智能诊断方法。首先,用全矢谱融合双通道的振动信号,得到全矢融合后的主振矢数据,克服了单通道振动信号信息不完整的缺点;然后,在此基础上构建全矢深度神经网络,结合稀疏编码和去噪编码算法,自适应地提取故障特征。最后,使用反向传播算法进行网络参数整体微调。试验结果表明,该方法能够自适应地提取更为有效的故障特征,提高了故障诊断准确率和稳定性,改善了传统方法的复杂流程

基于改进Elman网络模型的软件可靠性预测

为提高神经网络模型对软件可靠性预测结果的准确性和可信性,提出了一种基于多目标优化算法改进Elman网络模型Mop-IElman(multi-objective optimization-based improved Elman neural network)的方法:1)在Elman网络基础上,设计输出层的延迟反馈层,作为另一个状态层;2)以网络的结构和2个状态层的初始输出值为网络配置的变量,以网络的预测精度和顽健性为目标,采用NSGA-II(non-dominated sorting genetic algorithm II)进行多目标优化得到帕累托解,最大化网络预测精度与顽健性之和从而确定网络配置。通过两组实际软件失效数据对Mop-IElman进行实验验证,并与前馈网络、Elman网络、单目标优化Elman网络以及多目标优化Elman网络进行比较研究,结果表明Mop-IElman的预测结果具有较高的准确性和可信性。In order to improve accuracy and dependability of using neural network for software reliability prediction, a multi-objective optimization-based improved Elman recurrent network method (Mop-IElman) was proposed. First, on the basis of the Elman network, a self-delay feedback of the output layer as another context layer was designed. Second, the network architecture and the initial outputs of these two context layers were taken as variables of network configuration setting, and NSGA-II was employed to simultaneously optimize prediction performance and robustness, then the Pareto solution was obtained. After that, by maximizing the sum of prediction performance and robustness, the final network configuration setting was determined. Finally, the proposed method was compared with the feed-forward neural network, the Elman network, both the single-objective and the multi-objective optimization Elman networks with respect to two real software failure data. It demonstrated that the proposed Mop-IElman achieves higher prediction accuracy and dependability

FDI and Spatial Agglomeration: Based on the Analysis on the Difference of Economic Freedom

本文将fdI和城市人口空间集聚问题相联系,将fdI对城市人口集聚的影响落实到传导机制的研究中来,着重探讨fdI对城市人口集聚和城市规模的促进作用,以及这一传导机制与不同国家经济自由程度的关系。我们使用1980-2011年139个国家的数据进行实证检验,发现这种传导机制的作用是非常显著的,且这种显著性受制于各国的经济自由程度。这对于进一步优化城市发展结构、改善城市发展环境、提高城市发展潜力及政府的相关政策制定具有重要意义。This paper connects FDI with the spatial agglomeration of urban population and puts the effect of FDI on the agglomeration of urban population in the research on conduction mechanism.It focuses on the promoting role played by FDI in the agglomeration of urban population and urban scale and the relationship between the conduction mechanism and the economic freedom of different countries.We use the data of 139 countries from 1980 to 2011 to conduct positive test and find that the role of the conduction mechanism is significant and the significance is enslaved to the economic freedom of each country.It is of great significance for further optimizing urban development structure,improving urban development environment,raising urban development potential and making the relevant governmental policies.2012年国家社会科学基金项目(项目编号:12BJL049)资助; 厦门大学经济学院国际经济与贸易系引进人才科研启动经费的支

中国股市权证定价的带均值回归跳跃扩散模型

针对中国股价运动规律,提出一个带均值回归项的跳跃扩散模型,并以上证指数数据为例,给出模型的参数估计方法.结果表明该定价模型在单边市的情形下,能够比传统B-S公式更好的体现中国股市动态资产价格的运动过程.此外,还给出了基于带均值回归项的跳跃扩散模型的各种类型权证(美式、欧式和百慕大式)的模拟定价方法,并给出此模拟定价方法的实证结果.结果表明,该模型的对中国股市的拟合程度明显好于经典Black-Scholes期权定价公式