时序法在焊缝损伤诊断方面的应用

初步探讨如何采取时间序列分析的方法对焊接结构、焊缝的缺陷进行诊断,并获得能够反映系统状态的参数,从而判断出焊缝质量的不同情况.     

落球法测定液体粘滞系数误差的研究

液体粘滞系数的测定是一项基础物理实验,影响此实验结果的因素较多,在实际操作中往往会存在误差较大的情况。通过改进实验仪器,对各个重要参数进行了多次规范的测量,并研究了各测量参数的相对误差传递,旨在找出减小误差的方法。     

福建省海洋工业企业竞争力研究

在界定"海洋工业"的基础上,利用"中国工业企业数据库(2007)"中福建省1 292家海洋工业企业的数据,从生产能力、盈利能力、创新能力和市场适应能力四个方面,运用熵值法进行企业竞争力分析。研究发现:创新能力和出口能力对海洋工业企业竞争力的影响最大,海洋生物医药企业竞争力最强,海洋电力、海洋渔业和海洋船舶企业竞争力次之。但所有企业生产能力和盈利能力均有待提高。应从支持科技创新,做强主导产业,鼓励潜力产业,促进产业集聚和加大国内国外合作可有效提升福建省海洋工业企业的竞争力。     

Cost and Service-Level-Based Model for a Seru Production System Formation Problem with Uncertain Demand

With increasing demand diversification and short product lifecycles, industries now encounter challenges of demand uncertainty. The Japanese seru production system has received increased attention owing to its high efficiency and flexibility. In this paper, the problem of seru production system formation under uncertain demand is researched. A multi-objective optimization model for a seru production system formation problem is developed to minimize the cost and maximize the service level of the system. The purpose of this paper is to formulate a robust production system that can respond efficiently to the stochastic demand. Sample average approximation (SAA) is used to approximate the expected objective of the stochastic programming. The non-dominated sorting genetic algorithm II (NSGA-II) is improved to solve the multi-objective optimization model. Numerical experiments are conducted to test the tradeoff between cost and service level, and how the performance of the seru production system varies with the number of product types, mean and deviation of product volume, and skill-level-based cost.     

Optimization of Extraction of Antioxidants from Turmeric(Curcuma longa L.) Using Response Surface Methodology

Turmeric is a spice widely used to enhance the taste and color of certain meats. We investigated the antioxidant capacities of turmeric ethanol soaking extracts by utilizing the scavenging properties of hydroxyl radical and 1,1-diphenyl-2-picrylhydrazyl(DPPH) free radical. The results showed that the optimum extraction parameters were: extraction time 4 h, sample-solvent ratio 1:84.12, solvent 72.34% ethanol solution, and water bath temperature 81.3 ℃. The optimum ethanol soaking extraction parameters were: extraction time 4 h, sample-solvent ratio 1:90.74, solvent 80.46% ethanol solution, water bath temperature 88.2 ℃. With these parameters, the hydroxyl radical scavenging rate and the DPPH free radical clearance of crude extracts from turmeric can reach about 93.78% and 40.69%, respectively. These results indicate that ethanol soaking extraction may be a useful method for extracting antioxidants from turmeric.     

DELLA基因家族在被子植物中的系统演化关系

基于被子植物各主要分支代表类群的DELLA氨基酸序列，开展它们在被子植物中演化关系的系统发育分析.DELLA基因家族在双子叶植物早期演化阶段经历了一次复制事件，形成2大分支，每支都包含相应的蔷薇类和菊类；单子叶植物没有经历早期的复制事件，所有的DELLA基因聚在一起形成单一的支系.另外，证实了在被子植物的双子叶植物中存在第3个DELLA基因支系.     

An empirical investigation on the risk-return relationship of carbon future market

This paper examines the risk-return relationship for the carbon future market during Phases I, II and III of the European Union Emission Trading Scheme (EU ETS). The risk factors derived from the newly developed LSW model, are embedded into a GARCH framework. This new specification is compared with several GARCH-M type models analyzing the risk-return relationship in the carbon market. The results show that the new specification consistently achieves a good fit and possesses superior explanatory power for the European Union Allowance (EUA) data. Some policy suggestions regarding market efficiency are also provided.     

The distributed representation for societal risk classification toward BBS posts

The risk classification of BBS posts is important to the evaluation of societal risk level within a period. Using the posts collected from Tianya forum as the data source, the authors adopted the societal risk indicators from socio psychology, and conduct document-level multiple societal risk classification of BBS posts. To effectively capture the semantics and word order of documents, a shallow neural network as Paragraph Vector is applied to realize the distributed vector representations of the posts in the vector space. Based on the document vectors, the authors apply one classification method KNN to identify the societal risk category of the posts. The experimental results reveal that paragraph vector in document-level societal risk classification achieves much faster training speed and at least 10% improvements of F-measures than Bag-of-Words. Furthermore, the performance of paragraph vector is also superior to edit distance and Lucene-based search method. The present work is the first attempt of combining document embedding method with socio psychology research results to public opinions area.     

Effect of Graphene Nanoplatelets addition on mechanical properties of pure aluminum using a semi-powder method

In recent years, graphene has attracted considerable research interest in all fields of science due to its unique properties. Its excellent mechanical properties lead it to be used in nano-composites for strength enhancement. This paper reports an Aluminum–Graphene Nanoplatelets(Al/GNPs)composite using a semi-powder method followed by hot extrusion. The effect of GNP nano-particle integration on tensile, compressive and hardness response of Al is investigated in this paper. It is demonstrated that 0.3 wt% Graphene Nanoplatelets distributed homogeneously in the matrix aluminum act as an effective reinforcing filler to prevent deformation. Compared to monolithic aluminum(in tension), Al–0.3 wt% GNPs composite exhibited higher 0.2% yield strength(+14.7%), ultimate tensile strength(+11.1%) and lower failure strain( -40.6%). Surprisingly, compared to monolithic Al(in compression), Al–0.3 wt% GNPs composite exhibited same 0.2% compressive yield strength and lower ultimate compression strength(- 7.8%),and lower failure strain(- 20.2%). The Al–0.3 wt% GNPs composite exhibited higher Vickers hardness compared to monolithic aluminum(+11.8%).Scanning electron microscopy(SEM), Energy-Dispersive X-ray Spectroscopy(EDS) and X-ray diffraction(XRD) were used to investigate the surface morphology, elemental percentage composition, and phase analysis, respectively.