Towards Enhancement of the Economy of a Thermal Power Generating System through Prediction of Plant Efficiency

The plant ‘Heat Rate’ (HR) is a measure of overall efficiency of a thermal power generating system. It depends on a large number of factors, some of which are non-measurable, while data relating to others are seldom available and recorded. However, coal quality (expressed in terms of ‘effective heat value’ (EHV) as kcal/kg) transpires to be one of the important factors that influences HR values and data on EHV are available in any thermal power generating system. In the present work, we propose a prediction interval of the HR values on the basis of only EHV, keeping in mind that coal quality is one of the important (but not the only) factors that have a pronounced effect on the combustion process and hence on HR. The underlying theory borrows the idea of providing simultaneous confidence interval (SCI) to the coefficients of a p-th p(≥1) order autoregressive model (AR(p)). The theory has been substantiated with the help of real life data from a power utility (after suitable base and scale transformation of the data to maintain the confidentiality of the classified document). Scope for formulating strategies to enhance the economy of a thermal power generating system has also been explored.     

信度函数在政府形象评价模型中的应用

在分析政府形象效能评价系统和信息置信度的基础上,建立了基于信度函数的政府形象评价模型。运用该函数建模分析了政府形象评估中的理念识别系统、行为识别系统、视觉识别系统、环境识别系统以及个人识别系统等五大不确定性评价问题。经过理论分析,该函数对政府形象的评估有较大的参考价值。此外,该函数也可以用于对其他类似复杂性系统的效能评估,具有普遍适用性。     

HEAVY-TAILED-DISTRIBUTED THRESHOLD STOCHASTIC VOLATILITY MODELS IN FINANCIAL TIME SERIES

To capture mean and variance asymmetries and time‐varying volatility in financial time series, we generalize the threshold stochastic volatility (THSV) model and incorporate a heavy‐tailed error distribution. Unlike existing stochastic volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time‐delay parameter. Self‐exciting and exogenous threshold variables are considered to investigate the impact of a number of market news variables on volatility changes. Adopting a Bayesian approach, we use Markov chain Monte Carlo methods to estimate all unknown parameters and latent variables. A simulation experiment demonstrates good estimation performance for reasonable sample sizes. In a study of two international financial market indices, we consider two variants of the generalized THSV model, with US market news as the threshold variable. Finally, we compare models using Bayesian forecasting in a value‐at‐risk (VaR) study. The results show that our proposed model can generate more accurate VaR forecasts than can standard models.     

Detection and correction of artificial shifts in climate series

Summary.  Many long instrumental climate records are available and might provide useful information in climate research. These series are usually affected by artificial shifts, due to changes in the conditions of measurement and various kinds of spurious data. A comparison with surrounding weather-stations by means of a suitable two-factor model allows us to check the reliability of the series. An adapted penalized log-likelihood procedure is used to detect an unknown number of breaks and outliers. An example concerning temperature series from France confirms that a systematic comparison of the series together is valuable and allows us to correct the data even when no reliable series can be taken as a reference.     

优化专业结构,提高毕业生就业竞争力

随着社会以及高等教育改革的不断深化,高校毕业生就业形势日益严峻,根据用人单位对大学毕业生综合素质的要求和高校毕业学生对学校教学的意见反馈以及就业工作的现状,高等学校应优化专业结构,调整教学计划和课程设置体系,改革人才培养模式,努力提高毕业生就业竞争力。     

大学生网络交往调查研究

网络交往一直深受大学生青睐。笔者就此对266名大学生进行了访谈研究和问卷调研。问卷结构包括:上网时点分布、网名使用情况、交友方式及其发展、E交友积极与消极观念四大因素。基于数理统计结果,提出大学生E交友的八大心理特征。     

司法现代化在我国农村的困境及出路

司法现代化在农村正遭遇着种种困境,这有其深刻的历史背景和现实基础。实现农村的司法现代化,一方面要对传统法律文化进行认真彻底的反思,肃清沿袭至今的消极影响;另一方面则应从制度上保障司法的公正性,在司法领域树立法律的权威。     

大学英语多项选择考试模式面临挑战

大比例多项选择考试模式在大学英语四、六级考试中己实施多年 ,它对推动我国的外语教育功不可没。但在我国的国情发生了巨大变化、整个国家正朝着国际化社会快速发展、社会各界急需实用型外语人才的今天 ,多年不变的大比例多项选择考试模式己经显示出它的不足。特别是IELTS;ESOL等国际实用性测试模式不断引入我国 ,它的确面临着改进和完善的挑战。     

综合文科教育专业人才培养和课程体系的理论研究与教学实践

为适应基础教育改革,开办了综合文科教育专业,在思想政治教育、历史教育和地理教育三个专业进行“主辅修制”改革的基础上,探讨以素质教育为核心,由传统分科教育为主向现代综合教育转变,由专业学科知识为中心向知识整合为中心转变。兼顾初中综合改革发展需要和传统分科教学的现实,培养的学生既能胜任初中综合课程《公民》、《社会》或《人文教育》等的教学,又能适应政治、历史和思想品德等分科课程的教学,还能适应乡镇经济、文化和社会发展需要的新型复合型师资。本文坚持理论研究与实践探索相结合的原则,确定了符合教育规律和实际的综合文科教育专业全新的培养目标和规格,建立了人才培养新模式,构建了全新的教育内容和课程体系。     

基于知识链的管理

论述了知识链的有关概念和特点,通过分析以往的知识链模型,提出了改进的知识链模型;对知识链管理的机制进行了分析;从控制论的角度,对知识链内部知识成长的机制进行了分析,并指出知识链内部知识转移的影响因素,为知识管理的发展提供了一定的理论依据。