刀具振动纠偏新方法

为使刀尖振动方向与工件运动方向平行,对超声振动切削刀具运动轨迹进行了研究。基于弯曲振动刨削,提出了一种刀具振动纠偏新方法。该方法通过测量已加工表面与工件运动方向偏角可以推导出刀尖振动方向与工件运动方向偏角,根据计算出的偏角添加一个夹角为的斜块可以纠正偏角对加工过程的影响。对该方法进行了理论分析,并通过实验验证了该方法的可行性,实验结果表明该方法可以有效地纠正刀具振动方向和工件运动方向偏角,从而能保证超声振动切削加工质量。     

The different impacts of news-driven and self-initiated search volume on stock prices

Big data benefits both Internet finance and behavioral finance research; Internet search frequency on stocks has been widely used to measure investor attention. In this study, we divide the search volume into news-driven and self-initiated by the online media coverage collected from Baidu Index. In a sample of CSI 300 stocks from 2009 to 2013, we find that self-initiated (news-driven) search volume is more likely to generate buy (sell) pressure, and media coverage can negatively moderate the impact of search volume on stock prices, suggesting that distinguishing search environment for investors can help improve the measure for investor attention.     

Automated trading with performance weighted random forests and seasonality

Seasonality effects and empirical regularities in financial data have been well documented in the financial economics literature for over seven decades. This paper proposes an expert system that uses novel machine learning techniques to predict the price return over these seasonal events, and then uses these predictions to develop a profitable trading strategy. While simple approaches to trading these regularities can prove profitable, such trading leads to potential large drawdowns (peak-to-trough decline of an investment measured as a percentage between the peak and the trough) in profit. In this paper, we introduce an automated trading system based on performance weighted ensembles of random forests that improves the profitability and stability of trading seasonality events. An analysis of various regression techniques is performed as well as an exploration of the merits of various techniques for expert weighting. The performance of the models is analysed using a large sample of stocks from the DAX. The results show that recency-weighted ensembles of random forests produce superior results in terms of both profitability and prediction accuracy compared with other ensemble techniques. It is also found that using seasonality effects produces superior results than not having them modelled explicitly.     

Multi-level inventory matching and order planning under the hybrid Make-To-Order/Make-To-Stock production environment for steel plants via Particle Swarm Optimization

This paper proposes a nonlinear integer programming model which co-optimizes the multi-level inventory matching and order planning for steel plants while combining Make-To-Order and Make-To-Stock policies. The model considers order planning and inventory matching of both finished and unfinished products. It combines multiple objectives, i.e., cost of earliness/tardiness penalty, tardiness penalty within delivery time window, production cost, inventory matching cost, and order cancelation penalty. This paper also proposes an improved Particle Swarm Optimization (PSO) method, where strategies to repair infeasible solutions and inventory-rematching scheme are introduced. Parameters of PSO and the rematching scheme are also analyzed. Three sets of real data from a steel manufacturing company are used to perform computational experiments for PSO, local search, and improved PSO. Numerical results show the validity of the model and efficacy of the improved PSO method.     

A broadened causality in variance approach to assess the risk dynamics between crude oil prices and the Jordanian stock market

Within the new developed causality-in-variance approach, this paper builds up a broad methodological framework to more accurately capture the risk spillover effects between global oil prices and Jordanian stock market returns during the period 1 March 2003–31 January 2014. The sample period is divided, on the basis of the 2008 financial crisis, into pre-crisis and post-crisis periods. Results for the pre-crisis period show a lack of risk spillovers between global oil and the Jordanian stock market. After the crisis, however, we find evidence for one-way risk spillover running from the oil market. These findings have implications for the design of appropriate asset allocation and regulatory policies to manage risk spillover effects.     

面向敏捷制造的网上采购招标系统建模及评定算法研究

敏捷制造是现代制造业中采用的一种先进制造模式 ,在此基础上建立了面向敏捷制造的网上采购招标系统的数学模型 ,并分析了网上采购招标系统的工作流程 ,最后给出了一种确定网上采购招标系统中中标企业的评定算法———层次分析法 (AHP算法 )。     

证券网络的安全分析与防范措施

本文针对计算机网络在证券营业部的应用特点，分析了目前证券网络存在的安全威胁，提出了解决办法。经实践证明是行之有效的。     

Impacts of climate change on building performance in New Zealand

Climate change is expected to impact on many aspects of building performance, with much of the existing and future building stock likely to be affected. Potential impacts of climate change on buildings are identified, evaluated as to how serious they might be, and actions are considered to ensure that future building performance is not compromised. Climate change scenarios for New Zealand defined the scale of climate changes considered for building performance. For each climate variable, relevant aspects of building performance were examined to determine if there is likely to be a significant impact. Where significant impacts were indicated, they were studied in detail and quantified where possible. A risk-profiling tool was formulated to cover the risk/severity of the most significant climate change impacts, which include flooding, tropical cyclones and overheating. Adaptation strategies were developed for each climate change impact, with different responses appropriate for each impact. Mitigation of greenhouse emissions is also addressed. For those risks where delaying action has serious consequences, it may be appropriate to consider changes in building or zoning regulations to anticipate the future impacts of climate change. Some implications for future building performance, design, standards and regulation are discussed.

On peut s'attendre à ce que les changements aient des incidences sur de nombreux aspects des performances des bâtiments et que la majorité des bâtiments existants et futurs soit touchée. Cet article recense les conséquences potentielles des changements climatiques sur les bâtiments, les évalue quant à leur gravité et étudie les mesures à prendre pour que les performances des futurs bâtiments ne soient pas compromises. La Nouvelle-Zélande a étudié des scénarios de changements climatiques pour définir leur échelle en fonction des performances des bâtiments. Pour chaque variable climatique, on a examiné les aspects pertinents des performances des bâtiments afin de déterminer si elle est susceptible d'avoir un impact significatif. Lorsque c'est le cas, ces impacts ont été étudiés en détail et, dans la mesure du possible, quantifiés. On a conçu un outil de profil des risques pour couvrir les risques et la gravité des conséquences les plus importantes des changements climatiques, ce qui inclut les inondations, les cyclones tropicaux et les vagues de chaleur. Pour chaque conséquence des changements climatiques, on a formulé des stratégies d'adaptation, avec différentes réponses appropriées à chaque impact. On a également étudié l'atténuation des émissions de gaz à effet de serre. Quant aux risques pour lesquels tout retard dans les mesures à prendre aurait des conséquences sérieuses, il pourrait être judicieux d'envisager de modi? er la réglementation concernant les bâtiments ou le zonage afin d'anticiper les conséquences futures des changements climatiques. Cet article traite également de certaines implications pour les futures performances des bâtiments, conceptions, normes et réglementations.     

股份合作制运作中的问题与对策

本文指出了当前股份合作制在运作过程中存在的问题，提出了相应对策．