Extension of the tuning constant in the Huber's function for robust modeling of piezoelectric systems

This paper proposes a new modeling approach that is experimentally validated on piezoelectric systems in order to provide a black‐box pseudolinear model for complex systems control. Most of the time, one uses physical based approaches. However, sometimes complex phenomena occur in the system due to atypical changes of the process behavior, output noise or some hard nonlinearities. Therefore, we adopt identification methods to achieve the modeling task. The microdisplacements of the piezoelectric systems generate atypical data named outliers, leading to large estimated prediction errors. Since these errors disturb the classical normal probability density function, we choose here, as corrupted distribution model, the gross error model (GEM). In order to deal more efficiently with the outliers, we use the Huber's function, as mixed L₂/L₁ norms in which the tuning threshold named scaling factor is extended. From this function, a cost function also named PREC as parameterized robust estimation criterion is established. The identification is performed by choosing an Output Error model structure. In order to express the asymptotic covariance matrix of the robust estimator, we present a L finite Taylor's expansion to linearize the gradient and the hessian of the PREC. Experimental results are presented and discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

Pickering Emulsion Polymerization of Styrene using Nano-SiO2 and Subsequent Use of the Produced Core–Shell Structures as Fillers for Ethylene Vinyl Acetate Copolymer and Polypropylene

Solid particles can stabilize emulsions instead of conventional surfactants. Emulsion polymerization of styrene, as an example of polymerizable oil, was processed in the present work after ultrasonication of styrene in water in the presence of silica nanoparticles as stabilizer. Field emission scanning electron microscopy, equipped with energy-dispersive X-ray unit, and transmission electron microscopy confirmed the formation of polystyrene particles covered by a sheath of self-assembled silica. Addition of these hybrids in different loadings (2–14 wt%) to polypropylene and ethylene vinyl acetate copolymer could improve their tensile strength and hardness. The mechanical enrichment could be attributed to the action of the silica shell layer to delay the phase separation process encountered between the polystyrene from one side and polypropylene/ethylene vinyl acetate from other side, which translates into different extents of reinforcements.     

浅谈箱梁模板混凝土浇筑防漏装置施工

传统的箱梁模板混凝土浇筑施工工艺中,由于模板为刚性,加工基座也为刚性,因此不可避免的存在缝隙而导致漏浆,形成梁体的麻面、竖横等,影响梁体美观甚至梁的强度。通过对箱梁模板预制浇筑工艺的探索和研究,最终根据其施工特点研制出了箱梁模板混凝土浇筑防漏装置,极大程度的减少了漏浆现象的发生,同时该装置也有着结构简洁,取材方便,利于推广的优点。     

All two-input logic gates by a single-stage single electron box

In this paper, the design of all two-input logic gates is presented by only a single-stage single electron box (SEB) for the first time. All gates are constructed based on a same circuit. We have used unique periodic characteristics of SEB to design these gates and present all two-input logic gates (monotonic/non-monotonic, symmetric/non-symmetric) by a single-stage design. In conventional monotonic devices, such as MOSFETs, implementing non-monotonic logic gates such as XOR and XNOR is impossible by only a single-stage design, and a multistage design is required which leads to more complexity, higher power consumption and less speed of the gates. We present qualitative design at first and then detailed designs are investigated and optimised by using our previous works. All designs are verified by a single electron simulator which shows correct operation of the gates.     

Sample re-weighting hyper box classifier for multi-class data classification

In this work, we propose two novel classifiers for multi-class classification problems using mathematical programming optimisation techniques. A hyper box-based classifier (Xu & Papageorgiou, 2009) that iteratively constructs hyper boxes to enclose samples of different classes has been adopted. We firstly propose a new solution procedure that updates the sample weights during each iteration, which tweaks the model to favour those difficult samples in the next iteration and therefore achieves a better final solution. Through a number of real world data classification problems, we demonstrate that the proposed refined classifier results in consistently good classification performance, outperforming the original hyper box classifier and a number of other state-of-the-art classifiers.Furthermore, we introduce a simple data space partition method to reduce the computational cost of the proposed sample re-weighting hyper box classifier. The partition method partitions the original dataset into two disjoint regions, followed by training sample re-weighting hyper box classifier for each region respectively. Through some real world datasets, we demonstrate the data space partition method considerably reduces the computational cost while maintaining the level of prediction accuracies.     

新型便携式线缆快速测试技术的研究

线缆测试是电气柜线缆安装过程中十分重要的环节,现有的一些线缆测试手段往往难于满足电柜线缆快速测试的要求.本文根据国内外线缆测试技术的发展及生产企业的实际要求,以单片机和CPLD为核心,研究新型的便携式线缆测试技术,建立测试系统,实现了对线缆的连通性能(通断、短路、错接)实时、高效、准确的测试.     

三乙胺冷芯盒工艺优化控制概略

从实践中总结出影响三乙胺冷芯盒工艺的四大因素和控制要点，“水分”是该工艺的重要影响因素、贯穿整个工艺控制的主线；“温度”、“时间”和“压力”对型芯质量及生产效率产生很大影响，也需有效控制。合理的排气系统对型芯质量和生产效率是一大有力的保障。     

一种新型传动齿轮箱的结构研究

介绍新型传动齿轮箱的结构特点。     

温芯盒用改性磷酸盐固化剂的研究和应用

针对呋喃树脂硬化过程和温芯盒制芯工艺的特点，开发了氯化化铝、氯化镁等改性的磷酸盐固化剂，研究其成分本比及分配比及用于温芯盒法时的工艺性能特点。