Recent progress in thermoelectric nanocomposites based on solution-synthesized nanoheterostructures

Thermoelectric materials,which can convert waste heat into electricity,have received increasing research interest in recent years.This paper describes the recent progress in thermoelectric nanocomposites based on solution-synthesized nanoheterostructures.We start our discussion with the strategies of improving the power factor of a given material by using nanoheterostructures.Then we discuss the methods of decreasing thermal conductivity.Finally,we highlight a way of decoupling power factor and thermal conductivity,namely,incorporating phase-transition materials into a nanowire heterostructure.We have explored the lead telluride-copper telluride thermoelectric nanowire heterostructure in this work.Future possible ways to improve the figure of merit are discussed at the end of this paper.     

CNTs-Al_2O_3多孔陶瓷复合材料的制备与性能

利用冰模板法制备一种具有高孔隙率的碳纳米管强化氧化铝(CNTs-Al_2O_3)多孔陶瓷复合材料。采用SEM,XRD及Raman对样品进行表征,研究碳纳米管(CNTs)含量对复合材料微观形貌、性能的影响。结果表明:随着CNTs含量的增大,复合材料的体积密度、孔隙率和抗压强度均发生改变;添加适量的CNTs能促进陶瓷孔壁烧结致密度,提高材料的抗压强度;但加入过量CNTs会导致CNTs团聚,嵌于陶瓷内壁形成微孔,反而降低了材料致密度与抗压强度;当CNTs含量达2.0%(质量分数)时,多孔陶瓷的抗压强度达到最大值4.52MPa,相对纯Al_2O_3多孔陶瓷提高了66%。     

碳纤维/聚醚醚酮(PEEK)复合材料拉拔制管工艺设计和模拟

从太空制造角度出发,设计了一种碳纤维/聚醚醚酮(PEEK)预浸复合板料拉拔连续制管工艺.综合考虑了预浸复合板料的供料放卷过程、冲压、拉拔成形工步和超声焊接工序,并创造性的提出了卷曲拉挤成型方式.利用Johnson-Cook和Holzapfel-Gasser-Ogden模型构建了一种以PEEK为基体,以碳纤维编织布为增强体相互叠加的材料模型,通过实验数据确定材料参数.采用商业软件ABAQUS对各工序分步进行了地面条件下的有限元数值模拟,分析了预浸复合材料板材在供料放卷、冲压拉拔成形过程中的应力分布,并采用蔡-希尔最大变形能理论证明了本文设计的放卷模具和卷曲成形模具可以进行连续制管.在焊接过程中,分析了预浸料基体PEEK在焊接区域产生的Mises应力分布,证明了超声波焊接方案对管材表面质量的影响较小.模拟结果表明,所设计的连续拉拔制管工艺能够快速有效地生产出表面良好的管材.仿真结果可为后续复合材料在轨拉拔连续制管的工艺设计和制造提供借鉴.     

基于新的码书模型检测动态背景下的运动目标

为了能有效解决动态背景下运动目标的检侧问题,给出了一种结合HSV颜色空间和图像分块思想的码书模型方法.这种方法可以分为三步:首先根据视频图像大小,合理确定其分块的大小;然后根据HSV颜色空间下的亮度和颜色扭曲度信息构造块码书模型;最后利用得到的块码书模型检测运动目标,并且同时更新此码书模型.实验结果证实:对存在动态因素的背景视频,提出的方法不仅能有效抑制伪目标的出现,而且能准确、实时地检测出真实的运动目标.     

基于锚文本相似度的PageRank改进算法

分析搜索引擎Google的PageRank算法,给出其存在的3个问题及针对这3个问题提出的改进。结合锚文本相似度提出一种改进的PageRank算法,利用Nutch对传统PageRank算法和改进后的PageRank算法进行实验分析与比较。实验结果表明,改进的PageRank算法提高了搜索结果的查准率,有利于减少主题漂移现象。     

Constrained Bayesian state estimation – A comparative study and a new particle filter based approach

This paper investigates constrained Bayesian state estimation problems by using a Particle Filter (PF) approach. Constrained systems with nonlinear model and non-Gaussian uncertainty are commonly encountered in practice. However, most of the existing Bayesian methods are unable to take constraints into account and require some simplifications. In this paper, a novel constrained PF algorithm based on acceptance/rejection and optimization strategies is proposed. The proposed method retains the ability of PF in nonlinear and non-Gaussian state estimation, while take advantage of optimization techniques in constraints handling. The performance of the proposed method is compared with other accepted Bayesian estimators. Extensive simulation results from three examples show the efficacy of the proposed method in constraints handling and its robustness against poor prior information.     

The DCT-based oscillation detection method for a single time series

This paper proposes a new method based on the discrete cosine transform (DCT), named as the DCT-based method, to detect oscillations for a single time series. The main idea is to isolate different frequency components of the time series via the DCT, and to detect oscillations by checking the regularity of zero-crossings of these isolated components. This method has the following features: (i) usage of only time series information of process variables without additional process knowledge, (ii) ability to deal with slowly varying trends, (iii) robustness to both white and colored noises, (iv) capability to handle the presence of multiple oscillations, and (v) amenability to complete automation without human intervention. Simulation examples and industrial case studies are presented to demonstrate the effectiveness and the above features of the DCT-based method.     

Industrial implementation of controller performance analysis technology

In this paper, a controller performance monitoring technology is introduced with a focus on its industrial implementation and applications. The technology to be introduced in this paper is known as Performance Analysis Toolbox and Solutions (PATS). The main components are discussed, which include data collection, closed-loop systems identification, control valve stiction monitoring, univariate control performance monitoring, multivariate control performance monitoring, model predictive control performance monitoring, etc. It is shown, through a thorough industry case study with various components of PATS, that the integration of the technology provides more convincing diagnosis results and facilitates identification of control improvement opportunities. Some components of the developed technology can be downloaded from the website http://www.ualberta.ca/～bhuang/research/research.htm.     

Multi-step prediction error approach for controller performance monitoring

Performance monitoring of model predictive control (MPC) systems has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown promising, but it is based on single-step prediction and may not be compatible with the MPC objective that is based on multi-step prediction. This paper develops a multi-step prediction error approach for performance monitoring of model predictive control systems, and demonstrates its application in a real industrial MPC performance monitoring and diagnosis problem.     

窄带同步相位检测在商品电子防窃系统中的应用

给出了一种基于同步相位窄带检测电路实现的EAS系统检测器,并给出了原理和实现方法。