基于综合指数评价法的房地产价格分析

为了对某一时期的房地产价格进行评价,运用综合指数评价法,结合房地产价格指数中的房地产销售价格指数、土地交易价格指数和房屋租赁价格指数中的子项目指数,对房地产价格进行评价。从而减少现行指数编制方法中指数测算方法不完善、样本数据缺乏代表性和指数应用受限制等三方面的不足。     

基于MODIS影像的鄱阳湖营养状况研究

论文采用MODIS影像,对影像进行处理,获取地表水质反射率,结合同步获取的水质采样数据、光谱测量数据进行鄱阳湖水质参数的光谱特征分析。利用卡尔森营养状态指数和修正的营养状态指数公式,获取了基于遥感技术的TSI指数计算模型,并应用模型生成了鄱阳湖丰水期的TSI指数分布图。     

基于空间相关性的制造业质量竞争力指数分析与预测

制造业质量竞争力指数(Manufacturing Quality Competitiveness Index, MQCI)是反映我国制造业质量竞争力整体水平的经济技术指标,具有空间相关性的特点。从地缘因素角度运用莫兰指数对我国各个地区制造业质量竞争力指数进行空间相关性分析;运用k-means++聚类算法对我国各个省市进行聚类分析,按照MQCI对各个省市进行区域划分;根据莫兰指数和聚类结果对各个省市的MQCI进行预测。提供了从空间相关性角度对MQCI进行分析的新思路,为优化区域一体化质量战略提供决策指导。     

基于Lyapunov指数谱的转子-机匣系统故障诊断研究

发展了基于Lyapunov指数谱的航空发动机转子-机匣系统故障诊断方法。基于实测的航空发动机机匣振动时间序列求解了系统不同状态的Lyapunov指数谱;基于Lyapunov指数谱,应用最大Lyapunov指数和Lyapunov指数谱图对航空发动机转子-机匣系统进行了故障诊断。研究结果表明:航空发动机机匣振动时间序列在不同状态下具有不同的Lyapunov指数谱,即可以Lyapunov指数谱作为故障诊断的特征量。     

用激光法测定氧化铝磨损指数的探讨

用筛分法和激光法对氧化铝磨损指数进行了测定,分析和探讨了造成两种结果差异的原因。结果表明,用激光法可以测定氧化铝磨损指数,特别是对生产工艺稳定的工厂,可以起到指导控制生产的作用。对于粒度为45μm（含量〈10％）,同时磨损指数也〈10％的氧化铝能否用激光法测试磨损指数尚需进一步研究。     

尼梅罗综合指数法在水质评价中应用的改进探讨

鉴于传统尼梅罗综合指数法存在过于突出最大污染因子和未考虑权重因素的缺点,对尼梅罗综合指数法进行了改进。并以沈阳市为例,对其2006年丰水期26眼观测井地下水水质进行了评价,经过对比和分析,结果另人满意。     

基于成本控制的小批量生产工序能力指数研究

传统的工序能力指数分析方法仅仅从统计质量管理的角度对过程能力进行分析,而忽略了所加工产品的不同批量、不同价值、不同加工工序成本的影响。对国内外多品种、小批量的工序能力指数研究现状进行了回顾,在对工序能力指数的点估计及置信区间进行分析的基础上,提出了基于成本控制的多品种、小批量生产方式下确定工序能力指数的方法,从而达到降低生产加工过程成本的目的。     

高速铣削22SiMn2TiB高强度钢的铣削力建模与试验研究

通过涂层硬质合金刀片对22SiMn2TiB高强度钢进行四因素四水平的正交铣削试验,采集切削力信号,对试验数据进行方差分析(ANOVA),得到了切削参数对铣削力影响的规律.通过多元线性回归建立了两个铣削力预测经验模型——二次模型和指数模型,并进行了模型的显著性分析,发现二次模型优于指数模型,指数模型对Fz的拟合效果差.     

副热带高压与东亚季风指数的非线性数学模型的遗传算法参数优化

针对东亚夏季风环流演变与副热带高压活动极为复杂,动力模型难以准确建立的情况,提出用遗传算法从实际观测资料中反演重构副高指数与夏季风环流因子动力模型的方法,反演重构了东亚夏季风环流因子与副高形态指数的动力预报模型并进行了模型的预报试验。结果表明,遗传算法全局搜索和并行计算优势可客观准确和方便快捷地反演重构东亚夏季风环流因子与副高指数的动力模型,所建模型能对副高指数和夏季风环流的演变进行较为准确的预测,进而为东亚夏季风环流与副高等复杂天气指数的动力模型建立和预测提供了新的方法途径。     

基于稳定分布的EPGARCH模型

本文对EGARCH模型进行了推广,得到了EPGARCH模型。对该模型的参数估计采用了带约束条件的非线性规划方法。利用直方图、时序图和Q统计量检验等方法对沪深指数收益序列进行了特征分析,得出收益序列具有高峰厚尾和波动聚集性。通过对沪深指数的VaR计算,得到在金融风险度量中基于稳定分布的EPGARCH模型比基于正态分布的EPGARCH模型更加有效。     

基于Kano-QFD的云养宠APP可用性设计研究

目的通过挖掘云养宠人群的需求,分析用户需求和功能要求之间关系,来获取功能要求的绝对权重,并基于功能要求的权重设计出既满足养宠者需求,且具有良好可用性的云养宠APP。方法将Kano-QFD组合模型作为云养宠APP的可用性研究方法。通过调研来收集养宠者的用户需求,利用Kano模型分析云养宠APP的用户需求要素及其重要度;对用户需求分析解剖获得对应的功能要求,并将两者导入QFD模型中,评估需求与功能矩阵的相关程度,从而得出与需求相关度较高的功能要求;将功能要求作为设计依据,结合EPO可用性模型优化设计内容,进行云养宠APP的信息架构、交互原型和视觉界面设计,并用眼动实验和SUS可用性调查验证模型可靠性。结论通过构建Kano-QFD可用性设计模型,来进行用户需求分析、用户需求到功能要求的转化、以功能要求为基础展开详细设计步骤的层层转换,实现了云养宠APP的可用性设计,也为相似问题提供了解决思路。     

汽车造型的功能性原型与附加特征本源回溯

目的 回溯设计的功能性本源,研究汽车功能性附加特征的造型设计。方法 采用汽车造型功能性附加特征的溯源、提取和比较方法,对功能性原型与附加特征进行语义获取与表征。构建基于功能性原型的附加特征设计流程,提出并归纳功能性原型转化造型附加特征的设计方法。结论 依功能性原型转化造型附加特征的设计方法,通过设计C级行政用车实际案例,造型上凸显“运动感”,体现其动力的先进性,验证了理论观点的合理性和可行性。     

Functional block diagrams and automated construction of event trees

Functional block diagrams are introduced as graphical representations of the function of a system. A functional block provides the output of a system as the outcome of a joint event defined by the inputs to the system and its various states. Functional blocks corresponding to different subsystems are combined together to form a functional block diagram representing the functional characteristics of the combined system. Conversely, a complex system represented by a single functional block is decomposed to constituent components with a corresponding functional block diagram. It is demonstrated that a functional block diagram is an alternative representation of an event-tree corresponding to the outcome space of the underlying joint event. The concept of output space partition is introduced and an algorithm is developed for generating the most compact form of the event-tree consistent with a given partition. This algorithm forms the basis of a technique for the automated construction of an event-tree starting from a developed functional block diagram. This technique is amenable to computerization. Finally, as a demonstration of the technique, the event-trees of a boiling water reactor (BWR) are developed.     

The self-regulation concept of motivation at work

In recent years there has been a growing interest in activity theory. The systemic–structural theory of activity is an outgrowth of the general activity theory, which has been employed to develop practical approaches and methods for the study of human work. The most important of these approaches are the morphological and functional analyses of activity. The basic concept within the morphological analysis is action. On the other hand, in the functional analysis of activity the functional mechanism or function block is the major concept. This functional analysis approaches activity as a self-regulating system. In this work we will use the functional analysis to study motivation. From the perspective of the functional analysis, motivation is not a unitary process, but rather consists of different stages, which may be either in agreement or in conflict with each other. Here we will attempt to demonstrate that contradictions between the different stages of motivation can be reduced to increase work motivation and productivity.     

Penalized spline approaches for functional logit regression

The problem of multicollinearity associated with the estimation of a functional logit model can be solved by using as predictor variables a set of functional principal components. The functional parameter estimated by functional principal component logit regression is often nonsmooth and then difficult to interpret. To solve this problem, different penalized spline estimations of the functional logit model are proposed in this paper. All of them are based on smoothed functional PCA and/or a discrete penalty in the log-likelihood criterion in terms of B-spline expansions of the sample curves and the functional parameter. The ability of these smoothing approaches to provide an accurate estimation of the functional parameter and their classification performance with respect to unpenalized functional PCA and LDA-PLS are evaluated via simulation and application to real data. Leave-one-out cross-validation and generalized cross-validation are adapted to select the smoothing parameter and the number of principal components or basis functions associated with the considered approaches.     

二级模糊综合评判法在城市区域环境振动功能区划中的应用

在城市振动功能区划中，居民文教区和混合区往往难以界定，其原因是两者之间存在着模糊区间。如何解决此类问题是振动区划工作的一个难点。采用二级模糊综合评判方法，将诸多的因素全部参加计算，科学地越过模糊区间，避免靠主观判断带来的偏差，使区划的结果更科学，更合理。     

Quadratic cost functional for wave-front reconstruction

A quadratic cost functional for reconstruction of a high-resolution wave front from a coarse wave front is presented. The functional uses as data the position and the direction of the coarse wave front that had previously been computed with a ray-tracing method. This functional uses an optical relationship between the ray information and the wave front's shape to reconstruct a high-density wave front. The performance of the proposed functional is illustrated by reconstruction of complicated wave fronts for which this functional has an accuracy that is superior to that of conventional interpolation methods.     

Universal coders for automatic measuring systems

Conclusions The above block schematics of universal multichannel coding functional converters can be used for making up automatic digital measuring systems. By means of these converters the measuring systems acquire computing characteristics which provide an evaluation and correction of errors due, for instance, to the nonlinearity of continuous information transducers. Moreover, the functional coding operation considerably widens the application of measuring equipment with a digital output by extending it to indirect measurements. It should be noted that the solution of a similar problem of functional coding by combining linear coding converters with electronic functional converters of a continuous type (for instance, diode functional converters) leads to more cumbersome, less reliable devices whose coding accuracy is inferior to that of the functional devices described in this article. Moreover, in using functional converters of a continuous type it is difficult to provide multiconditional coding operations. Translated from Izmeritel'naya Tekhnika, No. 11, pp. 30–35, November, 1961     

Using basis expansions for estimating functional PLS regression: Applications with chemometric data

There are many chemometric applications, such as spectroscopy, where the objective is to explain a scalar response from a functional variable (the spectrum) whose observations are functions of wavelengths rather than vectors. In this paper, PLS regression is considered for estimating the linear model when the predictor is a functional random variable. Due to the infinite dimension of the space to which the predictor observations belong, they are usually approximated by curves/functions within a finite dimensional space spanned by a basis of functions. We show that PLS regression with a functional predictor is equivalent to finite multivariate PLS regression using expansion basis coefficients as the predictor, in the sense that, at each step of the PLS iteration, the same prediction is obtained. In addition, from the linear model estimated using the basis coefficients, we derive the expression of the PLS estimate of the regression coefficient function from the model with a functional predictor. The results provided by this functional PLS approach are compared with those given by functional PCR and discrete PLS and PCR using different sets of simulated and spectrometric data.     

功能梯度骨质生物材料的研究进展

功能梯度骨质生物材料为根据人体自然骨的特殊结构,结合金属材料和生物陶瓷材料各自的优点而制备的一类既具有仿生孔隙分布,又具有良好力学性能的骨质生物复合材料.简要介绍了功能梯度骨质生物材料的研究背景,评述了Ti基、316L不锈钢基、Co-Cr-Mo基、Ti4Al6V基四大类功能梯度骨质生物材料的研究进展.同时指出,相比其它制备方法,粉末冶金法由于其近净成形的特点在制备功能梯度骨质生物材料时具有更大的优势.