旋转机械振动信号分析

综述了现代信号分析处理理论、方法如时域分析(包括时域参数识别、相关分析以及统计分析等)、频域分析(包括傅立叶变换、功率谱分解等),并结合转子实验台实测的振动数据,研究了它们在旋转机械振动信号分析处理中的应用,给出了具体的应用实例。     

江泽民人才思想初探

江泽民同志指出,人才是科技进步和经济社会发展最重要的资源,国家科技和经济的大发展必须靠知识,靠人才。本文从江泽民人才思想的发展、人才在实施科教兴国战略中的地位和作用、新形势下培养人才的标准以及人才的选拔和使用等方面对江泽民人才思想的核心内容进行重点解读,以期为新世纪社会主义人才队伍建设和管理工作提供一定的理论参考。     

地方政府怎样管好农村信用社--以贵州为例

农信社交由地方政府管理是落实管理责任市场化及强调地区性的结果。我们在总结贵州试点经验基础上提出建议.改革走向纵深，要解决增资扩股目的短期化、投资股比重低等问题；发展地看待省联社制度设计缺陷；坚持政企分开原则，加强政府对经济活动的外部组织协调，搞好促生产与抗风险的制度安排，帮助农信社形成良好的发展条件。     

A gradient boosting approach to the Kaggle load forecasting competition

We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The data available consisted of the hourly loads for the 20 zones and hourly temperatures from 11 weather stations, for four and a half years. For each zone, the hourly electricity loads for nine different weeks needed to be predicted without having the locations of either the zones or stations. We used separate models for each hourly period, with component-wise gradient boosting for estimating each model using univariate penalised regression splines as base learners. The models allow for the electricity demand changing with the time-of-year, day-of-week, time-of-day, and on public holidays, with the main predictors being current and past temperatures, and past demand. Team TinTin ranked fifth out of 105 participating teams.     

张力控制系统在变频造纸设备中的应用研究

张力控制在变频造纸设备中的应用是造纸业的控制难题。本文构建了变频造纸设备张力控制系统模型,通过张力检测装置采集张力值,经PLC接收和判定,最终组成了直接张力控制系统,有效地保证了张力的恒定。同时采用Simulink工具箱,模拟和分析了Matlab软件环境下张力控制系统的仿真运行,最终证实了张力控制系统在变频造纸设备应用中的可行性,为张力控制系统的后续研究与发展指明了方向。     

提升算法对传统车险索赔频率建模模型的改进——基于我国五省交强险保单数据

广义线性模型作为非寿险定价的经典模型,在非寿险定价中得到了广泛的应用。近年来,以提升算法为代表的机器学习算法在保险领域取得了很好的效果,为保险产品定价提供了一种新的选择。本文将提升算法思想分别融入到回归树模型和广义线性模型(GLM)中去,用得到的新模型对我国车险索赔频率进行预测建模分析,并与传统的回归树模型和GLM进行比较。结果表明,加入提升算法后传统车险索赔频率建模模型的效果得到了很大的改善,并且在不存在过拟合的前提下,随着模型深度和迭代次数的增加,模型的效果也在不断优化。     

高校内部控制制度建设探究

伴随我国高校的快速发展,高校内部控制制度暴露出认识不到位、体系不完善、监督机制缺乏、内部控制制度建设不均衡等问题。要想完善高校内部控制制度,必须要建立内部监控制度的评价机制,要完善内部控制管理机构,要大力加强内部控制信息公开制度,积极构建内部控制流程管理,从而强化高校内部控制风险意识,推进现代大学制度建设,助推高校健康发展。     

Proportional Odds Models with High‐Dimensional Data Structure

The proportional odds model is the most widely used model when the response has ordered categories. In the case of high‐dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model by implicitly selecting the influential predictors. The approach distinguishes between metric and categorical predictors. In the case of categorical predictors, where each predictor relates to a set of parameters, the objective is to select simultaneously all the associated parameters. In addition, the approach distinguishes between nominal and ordinal predictors. In the case of ordinal predictors, the proposed technique uses the ordering of the ordinal predictors by penalizing the difference between the parameters of adjacent categories. The technique has also a provision to consider some mandatory predictors (if any) that must be part of the final sparse model. The performance of the proposed boosting algorithm is evaluated in a simulation study and applications with respect to mean squared error and prediction error. Hit rates and false alarm rates are used to judge the performance of pomBoost for selection of the relevant predictors.     

高科技在21世纪纺织服装业的应用

通过对高科技在服装材料、服装设备、服装功能等方面应用的论述 ,说明高科技给服装产业带来的巨大影响。     

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Learner-centred approaches follow the prevailing tendency in modern University reforms which are primarily concerned about “how people learn”. The methodologies can be learner-centred in the sense of placing the student as the main actor of the teaching–learning process by increasing his interactivity and participation, but also considering what is relevant for the student by measuring the learner satisfaction. In order to promote both aspects, this paper proposes a synchronous software-based active methodology that makes use of the simulations to show a virtual scenario to the students and challenge them to predict and discuss the evolution of the scenario. The proposed methodology improves the visual interface, promotes discussion both among students and with the teacher in a brainstorming stage and shows real-world examples. This software-based methodology has been implemented into an Electric Machinery course at the University of Seville (Spain), and the evaluation has been carried out considering both the affective and cognitive domains. Principal components analysis proves to be useful to highlight the dimensions with a higher influence on learner satisfaction and the affective and cognitive results confirm the successful implementation of the proposal.