四柱液压机液压系统原理分析

详细分析了四柱式液压机液压系统的设计原理,总结了其主要的性能和特点。压机采用插装阀式集成阀块,具有多级调压能力,压力高、流量大,泄漏小,动作可靠等诸多优点。     

基于多层次判别器的图像翻译模型

图像翻译是一类重要的视觉问题,其目标是学习两个视觉域之间的映射,同时保持原始结构或语义。图像翻译研究领域主要存在两个难点,一是缺少配对的图片训练集;二是很难由单个输入产生多种输出。基于解表示的图像翻译模型(DRIT)虽然同时解决这两个难点,但输出的结果显示仍然存在生成图像质量不佳的问题。造成输出质量不佳的一个原因是由于从判别器到生成器的梯度反向传播过程较长,使得训练初期生成器的梯度所包含信息量较少。在DRIT模型研究基础上,本文提出了一种基于多层次判别的多目标图像翻译模型,一定程度上解决了生成图像质量不佳的问题。我们的数值实验结果也表明了本文提出的多层次判别结构对输出质量的提高具有一定的帮助。     

Constructing General Orthogonal Fractional Factorial Split-Plot Designs

While the orthogonal design of split-plot fractional factorial experiments has received much attention already, there are still major voids in the literature. First, designs with one or more factors acting at more than two levels have not yet been considered. Second, published work on nonregular fractional factorial split-plot designs was either based only on Plackett–Burman designs, or on small nonregular designs with limited numbers of factors. In this article, we present a novel approach to designing general orthogonal fractional factorial split-plot designs. One key feature of our approach is that it can be used to construct two-level designs as well as designs involving one or more factors with more than two levels. Moreover, the approach can be used to create two-level designs that match or outperform alternative designs in the literature, and to create two-level designs that cannot be constructed using existing methodology. Our new approach involves the use of integer linear programming and mixed integer linear programming, and, for large design problems, it combines integer linear programming with variable neighborhood search. We demonstrate the usefulness of our approach by constructing two-level split-plot designs of 16–96 runs, an 81-run three-level split-plot design, and a 48-run mixed-level split-plot design. Supplementary materials for this article are available online.     

Drink-driving in community sports clubs: Adopting the Good Sports alcohol management program

Throughout the developed world, community sports clubs are a high-risk setting for alcohol-impaired driving. The Good Sports program accredits community sports clubs to encourage implementation of alcohol-focussed harm-reduction and safe-transport strategies. This study tested for associations between participation in the Good Sports program and reduced rates of drink-driving amongst club members. Multilevel modelling indicated that for each season a club was in the program there was an 8% reduction in the odds of drink-driving. These findings may arise due to clubs with lower rates of alcohol use maintaining longer involvement in the program. However, the findings are also compatible with the intention of the Good Sports program to reduce the risk that club members will drive whilst alcohol impaired.     

Multi-objective method for divisible load scheduling in multi-level tree network

There is extensive literature concerning the divisible load theory. Based on the divisible load theory (DLT) the load can be divided into some arbitrary independent parts, in which each part can be processed independently by a processor. The divisible load theory has also been examined on the processors that cheat the algorithm, i.e., the processors do not report their true computation rates. According to the literature, if the processors do not report their true computation rates, the divisible load scheduling model fails to achieve its optimal performance. This paper focuses on the divisible load scheduling, where the processors cheat the algorithm. In this paper, a multi-objective method for divisible load scheduling is proposed. The goal is to improve the performance of the divisible load scheduling when the processors cheat the algorithm. The proposed method has been examined on several function approximation problems. The experimental results indicate the proposed method has approximately 66% decrease in finish time in the best case.     

Quality prediction and analysis for large-scale processes based on multi-level principal component modeling strategy

This paper proposed a multi-level principal component regression (PCR) modeling strategy for quality prediction and analysis of large-scale processes. Based on decomposition of the large data matrix, the first level PCR model divides the process into different sub-blocks through uncorrelated principal component directions, with a related index defined for determination of variables in each sub-block. In the second level, a PCR model is developed for local quality prediction in each sub-block. Subsequently, the third level PCR model is constructed to combine the local prediction results in different sub-blocks. For process analysis, a sub-block contribution index is defined to identify the critical-to-quality sub-blocks, based on which an inside sub-block contribution index is further defined for determination of the key variables in each sub-block. As a result, correlations between process variables and quality variables can be successfully constructed. A case study on Tennessee Eastman (TE) benchmark process is provided for performance evaluation.     

现代大功率变频器拓扑结构最新进展分析

随着大功率自关断器件和高速微控制芯片的不断发展,大功率电力电子装置的应用越来越广泛,传统的多重化结构由于受到变压器或电抗器尺寸、效率、价格及可靠性的限制,在功率等级提升的问题上遇到了极大的困难。多电平变流器的出现为解决这一问题提供了机会。在大功率电力电子装置中的另一个重要的问题就是大功率器件的工作频率较低,难以应用PW...     

利用模糊数学优选深井开拓方案

深井开拓方案的优选是一个复杂系统,综合考虑影响深井开拓方案的众多因素,采用多层次模糊综合评判法优选确定深井开拓方案的模糊数学模型,建立综合评判矩阵.将该深井开拓方案优选模型应用到某金属矿山,得出了斜坡道加盲竖井开拓方案为最优方案,实践取得了投资少、工期短、安全性好等显著效果,证明该优选方案是有效的,说明了优选方法的可行...     

城市休闲广场的竖向设计——以湘潭白石广场设计为例

城市休闲广场是城市中供市民休憩、游玩、演出、购物及举行各种娱乐活动的场所。现今的城市休闲广场设计中,设计师过分追求平面图案化,忽略了广场竖向空间变化对于使用人群的心理影响。特别是在丘陵地区,地形变化较大,竖向分析显得更加重要。随着人们精神文明需求的提高,人们也对城市休闲广场提出了更高的要求。基于这种情况,我们提出了竖向设计,在湘潭白石广场设计中,仔细分析地形高差变化,合理利用高差条件成为贯穿整个设计的核心。     

MES环境下作业车间多级动态调度方法研究

作业车间存在着许多不确定信息干扰生产,为有效解决制造执行系统环境下作业车间的动态调度问题,设计了一种基于实时数据采集的多级作业车间动态调度方法。在静态调度基础上,根据车间生产中实际情况,考虑了紧急插单、加工延时、机器停工等影响排产的扰动因素,建立作业车间动态调度模型,设计了缓冲吸收、调度修复及完全重调度相融合的调度方法。以交货期为目标,通过算例演算,实现了对动态扰动因素的满意处理,验证了方法的有效性。