Research on the Application of Intelligent Evaluation and Teacher-student Cooperation Assessment System in Teaching English Writing

Low efficiency in teaching and time-consuming in writing evaluation are two big problems for college English teachers.Therefore,it is necessary to create a new teaching model to solve these problems existing in traditional classroom-based teaching.This research adopts the research methods of test comparison before and after the students’composition experiment,questionnaire and semi-open interviews.Empirical research on a new teaching model that integrates the intelligent composition review and reform system represented by Piangai.com and the collaborative evaluation of teachers and students is conducted.The research results show that the new writing teaching model improves the quality of students’writing,promotes students’learning initiative,and enhances students’writing self-efficacy.This writing teaching model provides ideas for solving the problem of time-consuming and inefficient English writing teaching in large classes.

METrust: A Mutual Evaluation-based Trust Model for P2P Networks

It is necessary to construct an effective trust model to build trust relationship between peers in peer-to-peer （P2P） network and enhance the security and reliability of P2P systems. The current trust models only focus on the consumers＇ evaluation to a transaction, which may be abused by malicious peers to exaggerate or slander the provider deliberately. In this paper, we propose a novel trust model based on mutual evaluation, called METrust, to suppress the peers＇ malicious behavior, such as dishonest evaluation and strategic attack. METrust considers the factors including mutual evaluation, similarity risk, time window, incentive, and punishment mechanism. The trust value is composed of the direct trust value and the recommendation trust value. In order to inhibit dishonest evaluation, both participants should give evaluation information based on peers＇ own experiences about the transaction while computing the direct trust value. In view of this, the mutual evaluation consistency factor and its time decay function are proposed. Besides, to reduce the risk of computing the recommendation trust based on the recommendations of friend peers, the similarity risk is introduced to measure the uncertainty of the similarity computing, while similarity is used to measure credibility. The experimental results show that METrust is effective, and it has advantages in the inhibition of the various malicious behaviors.

Evaluation Criteria Based on Mutual Information for Classifications Including Rejected Class

与用表演措施的常规评估标准不同，信息理论基于在场的标准在机器学习的应用的一个唯一的有益的特征。然而，我们仍然远非正在拥有熵类型标准的深入的理解，说，在与常规基于表演的标准的关系。这份报纸学习通用分类问题，它包括一拒绝，或未知，班。我们在场基本公式和分类基于信息学习的图解的图理论。一个靠近形式的方程为通用分类问题在规范的相互的信息和扩充混乱矩阵之间被导出。敏感方程的三个定理和定理集合为学习在相互的信息和常规表演索引之间的关系被给。我们也与常规标准比较举与相互的信息标准的优点和限制有关的数字例子和几讨论。

Research on Post-evaluation Method of Economic Benefit of Geothermal Water Heating Project——Taking S Community in Xianyang City as an Example

In recent years,with the advancement of geothermal heating engineering technology,the projects and scale of geothermal heating have continued to grow.At present,geothermal development and utilization projects are mostly researched on economic evaluation methods,main control factors of benefits and case analysis of project benefits.Post-evaluation of economic benefits can provide strong support for improving existing projects,adjusting projects under construction,and guiding proposed projects,but there are few studies on post-evaluation of economic benefits of completed geothermal heating projects.In order to improve the economic benefits of geothermal heating projects and change extensive management to intensive management,this paper studies the post-evaluation principles,methods and evaluation indicators of the economic benefits of hydrothermal geothermal heating projects,and take the geothermal water heating project of S community in Xianyang City as an example to carry out the post-evaluation research on economic benefits.Through research,it is suggested to carry out post-economic evaluation of geothermal utilization projects that have been completed and run for 3 to 5 years.In order to do a good job in the post-evaluation of economic benefits,the evaluators should continue to track the progress of the project,collect and analyze various historical data in a timely manner,and select a variety of methods for prediction,comparison and mutual correction.In order to fully reflect the benefits of geothermal heating,the indirect benefit evaluation of energy conservation and emission reduction of geothermal heating projects will be strengthened in the future.

ID Updating-Based RFID Mutual Authentication Protocol for Low-Cost Tags

In order to solve the various privacy and security problems in RFID system, a new low-cost RFID mutual authentication protocol based on ID updating mechanics is proposed. In the proposed scheme, the backend server keeps both the current ID and potential next ID for each tag, thus to solve the possible problem of de-synchronization attack in the most ID updating-based schemes. In the security analysis section, comparing several protocols in property required and attacker resistances, the comparison results show that the proposed protocol provides strong authentication and strong integrity of the transmissions and can withstand most the possible attacks that break the security of the previous schemes. In the performance evaluation section, the analysis results also indicate that, in terms of computational cost and storage requirement, the proposed scheme is safer, more efficient, more suitable for low-cost tag and more feasible in practice.

基于生生匿名互阅模式的成绩误判申诉系统

为提高学生互阅成绩的公平性,文章在生生匿名互阅成绩的基础上,针对成绩评阅中可能出现的误判情形提出成绩申诉机制,并采用MySQL、Golang、React技术和框架实现以师生交互为特色的成绩申诉系统。该系统以教师和学生为主要用户,实现由考试人发起、阅卷人回复、教师最终处理的申诉流程。该系统实现了用户信息管理、考试信息管理、试卷信息管理、申诉信息管理等核心功能。此外,用户密码重置、申诉状态流转等重要信息的推送则通过邮件及时提醒用户查看。基于生生匿名互阅模式的成绩误判申诉系统满足了师生对匿名互阅成绩的公正性监督与规范性管理,促进了教学活动的良性发展。

Monotonicity Evaluation Method of Monitoring Feature Series Based on Ranking Mutual Information

As a prerequisite for effective prognostics, the goodness of the features affects the complexity of the prognostic methods. Comparing to features quality evaluation in diagnostics, features evaluation for prognostics is a new problem. Normally, the monotonic tendency of feature series can be used as the visual representation of equipment damage cumulation so that forecasting its future health states is easy to implement. Through introducing the concept of ranking mutual information in ordinal case, a monotonicity evaluation method of monitoring feature series is proposed. Finally, this method is verified by the simulating feature series and the results verify its effectivity. For the specific application in industry, the evaluation results can be used as the standard for selecting prognostic feature.

基于改进Filter和随机森林的应急物资供应商评价方法研究

针对应急物资供应商评价时因主观因素影响较大、存在冗余指标等情况,导致供应商评价分类效果不佳的问题,提出基于改进Filter和随机森林的方法改善应急物资供应商评价分类预测效果的思路。利用Filter中拉普拉斯分值算法的高效计算能力进行初步特征优化,并在此过程中引入互信息法消除冗余特征,构建随机森林分类器,以期在消除主观因素影响的同时,降低冗余指标造成的不利后果。实验数据显示,该方法可以明显提升应急物资供应商评价时的分类预测效果,为应急供应链管理的快速构建和高效运作提供可靠依据。

自适应变分模态分解在矿山变形监测数据去噪的应用

为了消除变形数据中包含的白噪声,提出了一种基于自适应变分模式分解的噪声消除模型。针对变分模式分解中关键参数选择不确定的问题,提出了基于相邻分解层数的最优分解评价值,指导最优分解层数,利用互信息熵判定噪声临界值。在确定模型的参数之后,去除所确定的噪声分量,并且重组剩余分量以获得噪声去除后的变形序列。对实际沉降数据进行去噪,通过实验比较,自适应变分模式分解的去噪评价指标均优于小波去噪、经验模态分解和完全集合经验模态分解。

基于认知行为和母婴关系疗法的围产期抑郁预防干预路径及效果评价

目的:分析围产期抑郁的预防干预路径及效果。方法:选择围产期抑郁轻症患者148例随机分成两组,对照组同期在助产专科门诊进行保健咨询与心理健康指导,实验组于妊娠晚期和产后早期进行"认知行为疗法"和"母婴关系治疗法"干预。结果:干预后实验组抑郁症状完全缓解者占61.3%,显著高于对照组(20.5%)(P<0.001);实验组PDSS量表总分和其中5个领域因子得分均显著低于对照组(P<0.05);实验组WHOQOL-BREF量表的生理、心理和社会关系领域评分显著高于对照组(P<0.05);实验组社会支持量表总分和其主观支持和支持利用度因子得分均显著高于对照组(P<0.05)。结论:该预防干预路径可有效缓解围产期抑郁患者的抑郁情绪,提升其生活质量和获得社会支持的能力。

采用交互信息量评价遥感图像融合结果的方法

提出了采用交互信息量的评价准则来评价遥感图像的融合效果的方法 ,该方法通过衡量融合图像与源图像的互信息来评价融合效果 ,具有简单、准确、抗干扰性好的特点 .通过将它与采用熵和联合熵的评价方法相比较 ,实验结果表明交互信息量是一种很好的评价方法 .

基于非线性有效边界的基金绩效研究

本文通过对基金风险和收益的考察,使用基于非线性有效边界的DEA模型对我国118只开放式基金和31只封闭式基金2007年的DEA绩效及其与夏普指数的异同进行分析,发现虽然DEA指标排名和夏普指数排名有一定正相关性,但DEA绩效精确地给出被评价基金与最优基金组合的差距和无效率基金需要调整风险的大小,为基金改善和提高投资管理绩效提供了具体措施和方向。此外,本文揭示了组合基金FOF的价值,并对组合基金的产品设计具有一定启示。

文本分类中一种新的特征选择方法

在自动文本分类系统中,特征选择是有效降低文本向量维数的一种方法。在分析了常用的一些特征选择的评价函数的基础上,提出了一个新的评价函数,即互信息比值。实验证明这一方法简单可行,有助于提高所选特征子集的有效性。

基于模糊决策图与灰色关联分析的枪械设计方案评价

为了解决产品设计方案评价指标相互影响的问题,提出了一种基于模糊决策图(FDM)与灰色关联分析(GRA)的方案评价方法(FDM-GRA)。该方法将GRA作为评价主体过程,利用模糊认知图表达指标间的影响关系,利用FDM实现指标赋权,通过计算灰色关联度来确定最优方案。该方法弥补了GRA无法表示评价指标之间相互影响的缺点。以枪械设计方案评价为例,验证了该方法的可行性。

基于互信息的组合预测模型及其在电力负荷预测中的应用

应用互信息度量单个预测模型的精度,然后以互信息为评价指标,应用模糊评判法赋予各个预测模型相应的权重,籍此建立一个新的组合预测模型.将此组合预测模型用于电力负荷预测,实例表明,互信息能有效地度量单个预测模型的精度,且能取得与传统的误差分析指标一致的评价结果.经多个误差分析指标的评价,基于互信息的组合预测模型提高了预测精度,优于基于熵的组合预测模型.

基于互信息的电力负荷组合预测模型

针对电力负荷组合预测中权重难以分配问题,运用信息论与模糊评价方法,提出一种新的确定权重的方法。用互信息度量各个预测模型的精度,对所有预测模型的互信息进行模糊评价,并赋予各预测模型相应的权重,互信息大的模型获得较大的权重;反之,获得较小的权重,进而建立一个新的组合预测模型。实例应用表明,经多个误差分析指标的评价,所提出的组合预测模型不仅优于其中任何单个预测模型,而且优于基于熵的组合预测模型。

项目研究式教学中的“自评互评”考核评价方法

项目研究式教学,目的在于培养学生综合运用知识的能力,提高工程实践动手能力,是典型的实践教学例子。文章阐述的"自评互评"方法是基于机电控制工程课程,每个小项目采用"排名式的总分分配制",让每位学生填写一份"自评互评"调查表。所有小项目完成后,再填写一份基于此课程整体表现的排名式自评互评调查表。经一学期实践,其符合度在80%以上,充分说明了"自评互评"方法的可实现性和有效性。

基于DEA模型的基金业绩评估的主要方法

综述了评估基金业绩的主要方法,特别是分类介绍了新近基于DEA模型所提出的几种基金绩效评价指标.在简述不同指标的优缺点、国内在该领域的研究现状的基础上,指出有关DEA模型研究及其进一步用于基金业绩评估时所存在的其它亟待解决的问题.

基于改进随机森林算法的工业过程运行状态评价

运行状态评价是指在过程正常生产的前提下,进一步判断生产过程运行状态的优劣.针对复杂工业过程定量信息与定性信息共存的情况,本文提出了一种基于随机森林的工业过程运行状态评价方法.针对随机森林中决策树信息存在冗余的问题,基于互信息将传统随机森林中的决策树进行分组,并选出每组中最优的决策树组成新的随机森林.同时为了强化评价精度高的决策树和弱化评价精度低的决策树对最终评价结果的影响,使用加权投票机制取代传统众数投票方法,最终构成一种基于互信息的加权随机森林算法(Mutual information weighted random forest,MIWRF).对于在线评价,本文通过计算在线数据处于各个等级的概率,并且结合提出的在线评价策略,判定当前样本运行状态等级.为了验证所提算法的有效性,将所提方法应用于湿法冶金浸出过程,实验结果表明,相对于传统随机森林算法,MIWRF降低了模型的复杂度,同时提高了运行状态评价精度.

基于二阶互信息特征选取的TE过程故障诊断

针对特征选取问题中的信息测度-互信息在高维空间下难以计算的问题,在高维特征空间输入特征信息均匀分布的假设下,推导出了一个估计候选特征与输出类别之间在给定已选特征子集情况下的条件互信息计算公式,可以在特征信息不严重背离均匀分布的情况下对特征进行有效评价,并据此提出了一种新的特征选取算法——基于二阶互信息的特征选取算法。该算法能够自适应估计出候选特征与已选特征之间关于输出类别的冗余信息,而无须像MIFS方法那样需要预先人为设定与特征冗余程度有关的参数,提高了算法的性能。TE过程模型的仿真实验结果表明,算法能够提供准确的特征评价准则,具有较高的故障诊断准确率。