Construction of Split-Plot Designs with General Minimum Lower Order Confounding

Fractional factorial split-plot design has been widely used in many fields due to its advantage of saving experimental cost. The general minimum lower order confounding criterion is usually used as one of the attractive design criterion for selecting fractional factorial split-plot design. In this paper, we are interested in the theoretical construction methods of the optimal fractional factorial split-plot designs under the general minimum lower order confounding criterion. We present the theoretical construction methods of optimal fractional factorial split-plot designs under general minimum lower order confounding criterion under several conditions.

Theory of optimal blocking for fractional factorial split-plot designs

The issue of optimal blocking for fractional factorial split-plot (FFSP) designs is considered under the two criteria of minimum aberration and maximum estimation capacity. The criteria of minimum secondary aberration (MSA) and maximum secondary estimation capacity (MSEC) are developed for discriminating among rival nonisomorphic blcoked FFSP designs. A general rule for identifying MSA or MSEC blocked FFSP designs through their blocked consulting designs is established.

Mixed Two-and Eight-level Fractional Factorial Split-plot Designs Containing Clear Effects

Fractional factorial split-plot （FFSP） designs are useful in practical experiments. When the num- bers of levels of the factors are not all equal in an experiment, mixed-level design is selected. This paper investigates the conditions of a resolution III or IV FFSP design with both two-level and eight-level factors to have various clear effects, including two types of main effects and three types of two-factor interaction compo- nents.

Minimum secondary aberration fractional factorial split-plot designs in terms of consulting designs

It is very powerful for constructing nearly saturated factorial designs to characterize fractional factorial (FF) designs through their consulting designs when the consulting designs are small. Mukerjee and Fang employed the projective geometry theory to find the secondary wordlength pattern of a regular symmetrical fractional factorial split-plot (FFSP) design in terms of its complementary subset, but not in a unified form. In this paper, based on the connection between factorial design theory and coding theory, we obtain some general and unified combinatorial identities that relate the secondary wordlength pattern of a regular symmetrical or mixed-level FFSP design to that of its consulting design. According to these identities, we further establish some general and unified rules for identifying minimum secondary aberration, symmetrical or mixed-level, FFSP designs through their consulting designs.

Bounds on the maximum numbers of clear two-factor interactions for 2^((n1+n2)-(k1+k2)) fractional factorial split-plot designs

Fractional factorial split-plot (FFSP) designs have an important value of investigation for their special structures.There are two types of factors in an FFSP design: the whole-plot (WP) factors and sub-plot (SP) factors,which can form three types of two-factor interactions:WP2fi,WS2fi and SP2fi.This paper considers FFSP designs with resolution Ⅲ or Ⅳ under the clear effects criterion.It derives the upper and lower bounds on the maximum numbers of clear WP2fis and WS2fis for FFSP designs,and gives some methods for constructing the desired FFSP designs.It further examines the performance of the construction methods.

Split-plot designs with general minimum lower-order confounding

Split-plot designs have been widely used in industrial experiments.Up to now,most methods for choosing this kind of designs are based on the minimum aberration (MA) criterion.Recently,by introducing a new pattern,called aliased effect-number pattern (AENP),Zhang et al.proposed a general minimum lowerorder confounding (denoted by GMC for short) criterion and established a general minimum confounding (also denoted by GMC for saving notations) theory.It is proved that,the GMC criterion selects optimal designs in a more elaborate manner than the existing ones,and when an experimenter has a prior about the importance ordering of factors in experiments the GMC designs are better than other optimal designs.In this paper we extend the GMC criterion to the split-plot design case and give a GMC-FFSP criterion for ranking split-plot designs.Some comparisons of the new criterion with the MA-MSA-FFSP criterion are given,and the optimal 32-run split-plot designs up to 14 factors under the two criteria are tabulated for comparison and application.

品牌地位定位与复仇叙事设计的匹配效应对品牌态度的影响

探索品牌叙事中品牌地位定位策略如何与故事情节设计共同发挥作用,并影响消费者的品牌态度。以复仇题材的品牌故事为情境,研究了品牌地位定位(强势者vs.弱势者)与复仇叙事情节的交互如何影响消费者的品牌态度。通过一个定性研究和两个实验研究,考察了两种复仇叙事情节设计要素,即品牌在复仇故事中扮演的角色(复仇工具vs.复仇目的)和复仇焦点(为自我复仇vs.为他人复仇),与品牌地位定位策略的匹配关系。研究发现:当品牌采用强势者定位讲述品牌作为复仇工具以及为自我复仇的复仇故事时,消费者的品牌态度会更好;当品牌采用弱势者定位讲述品牌作为复仇目的以及为他人复仇的复仇故事时,消费者的品牌态度会更好;复仇满足感和复仇公平感分别在其中起到中介作用。发现了采用不同地位定位策略的品牌如何设计复仇故事才能带来更积极的消费者品牌态度,具有很强的现实意义。同时,本文解释了个体对不同品牌地位定位策略和故事情节设计做出反应的心理机制,促进了品牌地位定位策略与品牌叙事研究领域的研究。

绘本图画叙事中的情节展示艺术探析

以叙事学理论为指导研究绘本的图画叙事、版式设计和画框调节是实现绘本图画叙事的重要手段。利用版式设计和画框变化页面中的图画形态及其关系,使绘本中的系列图画在读者的视知觉及想象中形成连贯性、叙事性,以及叙事节奏的起伏变化。

高阿丁枫人工中龄林生长对坡向和密度的响应

为了解高阿丁枫人工林的生长过程,2021年对林龄21 a的高阿丁枫人工林进行每木检尺,以胸径作为标准木选择的依据,西南坡不同密度中各选择1株,南坡不同密度中各选择3株高阿丁枫标准木作为解析木,分析不同坡向和造林密度组合的林木生长差异。结果表明:林龄21 a时,不同坡向和造林密度组合的高阿丁枫林木的平均胸径、树高和材积分别为17.60~20.78 cm、25.73~28.51 m和0.3186~0.4293 m3,林木尚处于旺盛的生长阶段;处理组合间以上生长量均呈现极显著的差异。林龄1~9、1~10、8~16 a期间分别是胸径、树高和材积的速生期,其连年生长量最高分别达2.19 cm/a、2.74 m/a和4.3966×10^(-2)m^(3)/a。坡向、密度及其交互作用显著或极显著地影响高阿丁枫林木的生长。高阿丁枫隶属热区长寿命大径材树种,速生期延续较长,其生长对立地和密度较为敏感。优质高效的高阿丁枫人工林培育应选择最适宜的立地和造林密度,并且适时开展密度的动态调控。综上所述,造林密度通过影响树高生长从而影响材积生长,南坡采用3 m×2 m×5 m非均匀密度造林的单株总材积最大。研究结果可应用于生产实践中高阿丁枫优质高效人工林培育的立地选择和密度控制。

伴随式服务导向下地块公共空间设计管控研究——以广州南沙明珠湾起步区为例

在城市设计视角下,良性的公共空间设计管控包括获得理想的设计方案以及有序的实施过程。以地块公共空间及其设计管控为研究对象,辨析“地块公共空间”的概念与属性,推演设计管控及全流程伴随式服务需求,提出伴随式服务导向的地块公共空间设计管控策略,即在规划设计阶段,以精细化技术提升设计管控的科学性;在建设实施阶段,以规范化制度提高设计管控的实效性;在运维管理阶段,以多主体治理优化设计管控的长效性。同时,结合广州南沙明珠湾起步区滨水绿地、口袋公园的设计管控实践,验证了刚性管控与弹性引导的技术体系。

Bayesian Variable Selection for Mixture Process Variable Design Experiment

This paper discussed Bayesian variable selection methods for models from split-plot mixture designs using samples from Metropolis-Hastings within the Gibbs sampling algorithm. Bayesian variable selection is easy to implement due to the improvement in computing via MCMC sampling. We described the Bayesian methodology by introducing the Bayesian framework, and explaining Markov Chain Monte Carlo (MCMC) sampling. The Metropolis-Hastings within Gibbs sampling was used to draw dependent samples from the full conditional distributions which were explained. In mixture experiments with process variables, the response depends not only on the proportions of the mixture components but also on the effects of the process variables. In many such mixture-process variable experiments, constraints such as time or cost prohibit the selection of treatments completely at random. In these situations, restrictions on the randomisation force the level combinations of one group of factors to be fixed and the combinations of the other group of factors are run. Then a new level of the first-factor group is set and combinations of the other factors are run. We discussed the computational algorithm for the Stochastic Search Variable Selection (SSVS) in linear mixed models. We extended the computational algorithm of SSVS to fit models from split-plot mixture design by introducing the algorithm of the Stochastic Search Variable Selection for Split-plot Design (SSVS-SPD). The motivation of this extension is that we have two different levels of the experimental units, one for the whole plots and the other for subplots in the split-plot mixture design.

城市更新背景下的区域整体开发项目总控

近年来,在城市更新成为城市发展主导理念的时代背景下,区域整体开发建设逐渐由周边城区向中心城区转移,城市片区规模的既有建筑的改建扩建、历史建筑的保护更新项目日益增多。设计总控在区域更新整体开发实施、统筹利用城市资源、整合城市公共空间、整体提升城市环境等方面起到了关键性的作用。文章对三个不同时期、不同类型的区域更新项目的设计特点以及总控关键要点进行了分析对比。随着城市的更新发展,区域整体开发建设目标更加多元、标准要求不断提升,中心城区既有基础条件也更加复杂,因此,区域更新建设对设计总控工作提出了更加系统化、科学化、多元化、精细化的要求。

山地城市复杂地势条件下居住小区的设计思路探讨——以南平市延平区官沙田地块为例

为解决城镇化稳步发展背景下,山地城市建设用地紧缺,山地居住空间建设难度较大的问题。文章对山地城市复杂地势条件下居住小区的设计进行研究,立足安全宜居、集约用地、山水呼应的视角,以南平市延平区官沙田地块为例,将基地总体规划结构、总体布局、道路交通系统规划、场地及道路竖向设计、地下空间规划设计、景观规划设计、分期建设指引作为切入点,结合官沙田地块的区域背景、现状山水环境及周边情况,探寻因地制宜的设计方法及原则,以期为同行提供一定的参考价值。

高容积率复合型中小学校园研究——以南阳市第六完全学校为例

随着我国城镇化率的不断提升,城市土地供应愈发紧张,城市居民教育资源供应不足。于是能够节约土地,并能容纳更多学生的复合型中小学校园逐渐成为解决城市教育资源不足问题的一把钥匙。文章以南阳市第六完全学校为例,提出在面对不规则地形、高容积率、多功能复合型校园时,以城市文化传承为总体规划切入点,通过功能分区、共享空间、流线梳理、地下开发和控制造价等设计策略,为未来高容积率复合型中小学校园建设提供一些设计经验。

整区因子更重要时一般最小低阶混杂裂区设计

考虑当整区因子比子区因子更重要时一般水平的裂区设计,提出了这种情况下的一般最小低阶混杂准则.用有限投影几何作为工具,建立了裂区设计与其补设计字长型之间的关系.这对构造该准则下的最优设计是有帮助的.

博物馆展厅中情节点设计策略研究——以内蒙古博物院为例

我国博物馆呈现蓬勃发展之势,各地博物馆因地制宜,锐意进取,通过情节点展示设计传递精神文化,不断丰富展示内容与信息,满足参观者多样化需求的同时促进文化信息高效传播。文章从情节点设计的角度出发,结合博物馆展陈设计的知识,以内蒙古博物院为案例进行分析探讨博物馆展示中的情节点展示设计建构与空间分析,并由分析可以发现,情节点设计与文化博物馆展陈的关系十分紧密,对其的渗透和影响日益明显。希望为博物院展示设计提供更加广阔的思路与借鉴作用。

从《梦华录》看新世纪以来中国古装电视剧剧情设计的游戏化审美倾向

除剧情严谨、内容新颖外,电视剧还随着时代的发展增设相应特色。新世纪以来,中国古装电视剧剧情设计逐渐呈现游戏化审美倾向。《梦华录》在情节上增加了以游戏化的娱乐效果为主要诉求的新内涵,具体表现为游戏性、竞技性、综艺性、间离性四种特性;在观众的观赏效果上,客观上产生了趣味感、胜负感、狂欢感、仪式感的娱乐效果。当前,有必要对这种游戏化审美倾向进行学术性反思,即剧情设计的游戏化应当源于一定的实践基础,并且创作中要适度把握影视剧整体的艺术水准和创作要求。

小区谷物联合收获机割台设计与试验研究

在对现有收获机割台的设计原理和优缺点进行对比分析的基础上,设计了拨禾轮齿带毛刷清扫、风吹清种、中间喂入、环形橡胶输送带柔性输送的卧式全喂入割台,避免金属制输送器对种粒的挤压损坏和易残留问题,实现种子收获时降低破损率和混种率的目的。对割台各部件进行形式对比和计算分析,得到最佳割台组合形式。为避免收获过程中受割刀机构的惯性不平衡力、切割作用的冲击载荷、拨禾轮和割台输送机构等运动元件载荷引起的共振,对设计完成的收获割台底架进行了模型分析,保证了割台底架形式的有效性。运用回归分析试验设计方法,对割台拨禾装置建立了数学模型,并进行了优化分析处理,为小区育种机械化收获技术提供了理论与技术支持。

轨道交通工程地质模型创建及应用研究

文章从数据处理、模型构建及模型应用角度论述轨道交通工程地质模型创建及应用过程中部分关键问题,并对其进行研究分析,总结得出在地勘数据规范化前提下更有利于数据处理工作开展,基于标准地层库开发相关工具可进一步提高数据校审效率。研究给出建模过程中存在的模型精度、模型分块与拼接、模型更新及配色问题的解决方案,并在保证模型合规、合理前提下探索模型整合可视化、剖切成图、精细化算量及基于三维角度设计等模型应用方式,以辅助优化工程设计。

基于人工智能的控规地块城市设计多方案生成方法

当前我国的控制详细规划,主要针对城市设计和地块规划,实施集中管理措施,完善土地有效利用。长期以来,此项工作一直备受关注,并且在发展过程中依法建设,从不同的角度分析规划方案和内容,积极探索地块的有效使用,让其发挥出重要作用。在研究地块城市设计方案生成方法时,发现通过人工智能的方式进行控规更能满足科学性,在控规过程中还可为后期发展提供多种方案,结合实际需求选择适当的方案进行分析即可。