基于级联型组合分类器的人脸识别研究

该文提出了一种将支持向量机（SVM）与神经网络相结合的方法，得到一种新型的级联型组合分类器．此组合分类器先利用神经网络或SVM对人脸图像进行预分类，得到不同性别的两类人脸图像；然后分别针对其中某一类人脸图像进行K-I。变换以提取有效特征，再使用SVM进行细分，得到最终的识别结果．应用该组合分类器方法在本文整合得到的人脸样本库上进行测试，结果显示该方法不但可以有效地提高识别速度，而且还可以在一定程度上提高识别率，因此方法是有成效和有价值的．     

非智力因素中动机与英语阅读的关系

非智力因素中动机对于学生英语阅读水平的提高作用重大,教师要采取一切有利于发展这些 非智力因素的方法,促使学生积极主动地进行英语阅读,提高英语阅读能力。     

对持有充裕外汇储备若干问题的分析--兼析《外汇储备是否太多了》一文中的若干观点

对于持有外汇储备的成本和收量，不应只从外汇储备资金本身运作情况来分析，而应根据持有和管理外汇储备的中央银行的职责，结合外汇储备对宏现经济发展所产生的多方面影响来考察。我国近两年增加的外汇储备中至少绝大多数确实是我国的对外资产，而充裕的外汇储备对我国继续深化改革、扩大开放有着重大的促进和保障作用，因此切不可因为欲利用国际货币基金组织的贷款而降低外汇储备规模，现阶段也不宜让人民币汇率上升。     

审计风险模型及其应用分析

注册会计师在会计报表审计中必须通过分析审计风险模型来确定其将要执行的实质性测试的性质、时间和范围，而要检查风险，就必须要合理评估固有风险和控制风险，其中控制风险的评估是关键。本在分析审计风险诸要素的基础上，重点论述了控制风险的评估，从而揭示了检查风险与实质性测试、审计意见类型等之间的相互关系。     

改革现行会计委派制 建立会计代理制

对于国有企业(及国家机关部门和事业单位)来说,建立“外派”会计制度是内在的要求,应该坚持做好。“外派”会计是财务监督会计,与企业内部管理会计并行不悖。不过,现行的会计委派制确实增加了企业经理人员和委派会计人员或财务总监之间产生对立或合谋的可能性,某种意义上成为政府干预企业的新机制、新形式,这影响到会计委派制的实际效果。而由会计师事务所等中介服务机构来充当企业的财务总监的会计代理制却能较好地隔离政府与企业,并在两者之间形成适当的平衡。     

新型农业项目绩效审计机理及实施策略

农业是我国政府关注的重点领域。在农业现代化建设、供给侧改革和乡村振兴等多个契机的推动下,我国以农业创新、农业增效为主题,以农产品电子商务、农产品加工、农业资源循环利用等为主要形式的新型农业项目开始崭露头角。对新型农业项目绩效审计机理及实施策略进行研究,是审计职能发展、政府预算管理和项目自身管理的要求,有助于新型农业项目合理使用资金,促进行业健康发展。     

卖方分析师佣金解绑改革与中国实践--基于MiFIDⅡ的思考

卖方分析师利益冲突问题损害了投资者利益以及市场稳定性。为提高分析师独立性,欧洲2018年出台的《欧盟金融工具市场指令Ⅱ》首次拆分了分析师的分仓佣金与研究费用。研究发现,该举措实施后,伴随着卖方研究质量提升、低质量分析师退出市场,分析师利益冲突问题得到缓解,促进了卖方服务内部化转型、买方研究加速形成以及投资者交易透明度的提升,但同时也带来了研报价格恶性竞争、市场信息环境受损、人才非优流动等负面影响。我国分析师佣金制度存在披露透明度不足、研究服务界定不明、佣金分配缺乏有效监管等问题,现阶段完全解绑佣金可能引发潜在风险,应采取相对柔性的改革思路。监管机构宜推动改革基金管理费用,塑造市场激励机制;券商应提升综合研究能力,推进业务模式转型,探索差异化发展之路。     

金融科技影响银行体系稳定性的机制研究

使用中国36家上市银行的面板数据和北京大学数字研究中心构建的省级数字普惠金融指数,研究了金融科技对银行体系稳定性的影响以及影响机制。研究发现:金融科技的发展和应用会对我国银行体系的稳定性产生影响,但存在异质性,其中处于发展前期的中小型及“规模扩张瓶颈期”的商业银行受到金融科技的冲击影响较大;扩大银行体系规模有利于提升银行体系的稳定性;信息效应在金融科技影响银行体系稳定性中存在中介作用。为有效控制金融科技带来的风险,银行应努力提高风险防控意识,加强信息安全管理,有效防范信息的负面效应影响。     

Seepage safety monitoring model for an earth rock dam under influence of high-impact typhoons based on particle swarm optimization algorithm

Extreme hydrological events induced by typhoons in reservoir areas have presented severe challenges to the safe operation of hydraulic structures. Based on analysis of the seepage characteristics of an earth rock dam, a novel seepage safety monitoring model was constructed in this study. The nonlinear influence processes of the antecedent reservoir water level and rainfall were assumed to follow normal distributions. The particle swarm optimization (PSO) algorithm was used to optimize the model parameters so as to raise the fitting accuracy. In addition, a mutation factor was introduced to simulate the sudden increase in the piezometric level induced by short-duration heavy rainfall and the possible historical extreme reservoir water level during a typhoon. In order to verify the efficacy of this model, the earth rock dam of the Siminghu Reservoir was used as an example. The piezometric level at the SW1-2 measuring point during Typhoon Fitow in 2013 was fitted with the present model, and a corresponding theoretical expression was established. Comparison of fitting results of the piezometric level obtained from the present statistical model and traditional statistical model with monitored values during the typhoon shows that the present model has a higher fitting accuracy and can simulate the uprush feature of the seepage pressure during the typhoon perfectly.     

Variability of light absorption properties in optically complex inland waters of Lake Chaohu,China

Absorption coefficients of phytoplankton, colored detrital matter (CDM), non-algal particles (NAP), colored dissolved organic matter (CDOM), and their relative contributions to total non-water absorption (a_t ? w) are essential variables for bio-optical and radiative transfer models. Light absorption properties showed large range and variability sampled at 194 stations throughout Lake Chaohu between May 2013 and April 2015. The a_t ? w was dominated by phytoplankton absorption (a_ph) and NAP absorption (a_d). The contribution of CDOM absorption to a_t ? w was lower than 30%. Phytoplankton and NAP were the primary sources of spatial and vertical variability in absorption properties. Light absorption by CDOM, though significant in magnitude, was relatively constant. CDM absorption (a_dg) was dominated by NAP. The spatial variation of the absorption coefficients from each of the optically active constituents were driven by several main inflow rivers in the western and middle part of Lake Chaohu. Algal blooms and bottom resuspension contributed to vertical variability as observed by phytoplankton and NAP profiles. Specific absorption of phytoplankton had significant spatial and seasonal variations without vertical variation. The spectral slope of absorption showed no significant spatial variability (p > 0.05). Variations of absorption affected different ranges of remote sensing reflectance (R_rs) spectrum, thereby increasing the difficulty of applying the remote sensing algorithm in optically complex waters. Parameters and relationships presented in this study provide useful information for bio-optical models and remote sensing of lakes similar to Lake Chaohu in terms of optical properties.