树突细胞算法在线分析组件的研究

原始树突状细胞算法（DCA）的离线分析过程,将会导致时间差异,从而产生假警报,增加了虚警率,也会导致攻击的成功发生,这对一个人侵检测系统来说是致命的。因此,文中的目的就是在不影响检测精度的前提下提高检测速度。于是文中提出了分片思想的在线分析组件与DCA相集成的方法,即根据抗原采样数量或者时间将一系列已处理的信息分割成为更小的部分,使得每个分片独立地进行实时的、周期性的分析,这样在每个分片内的入侵攻击就能及时地被识别出来。文中给出了DCA在线分析模块的伪代码描述,并且将其应用于SYN端口扫描的检测实验中。结果表明,DCA在线分析模块在不影响检测精度的前提下有效地提高了检测速度。     

基于灰色模糊层次分析法的企业云服务安全评价模型

从企业实施云服务项目角度,总结得出影响云服务安全的四大因素,即平台设施、运行安全、运营管理以及法律法规因素。在此基础上构建企业云服务安全评价模型,并利用灰色模糊层次分析法（ GFAHP）对模型进行综合评价。最后通过一个实例进行具体阐明与评价。     

基于属性约简的MPI运行时参数优化

目前MPI实现提供上百种可供调整的运行时参数,但默认的运行时参数不能发挥程序应有的性能。为了给应用程序提供接近最优的运行时参数,本文提出基于粗糙集理论中的属性约简建立优化模型。首先通过属性约简方法为不同基准程序产生参数组合值,再根据未知应用程序的程序特征通过所建立的优化模型为其预测参数值。实验表明,该方法可以有效地为未知应用程序预测参数值,并且比使用默认参数程序性能提升约20%。     

应用WCA微扰理论推算非极性液体比热容的新方法

本文首次将统计热力学的Ｗｅｅｋｓ－Ｃｈａｎｄｌｅｒ－Ａｎｄｅｒｓｏｎ（简称ＷＣＡ）微扰理论应用于非极性液体定容比热容和定压比热容的推算，用一些液体的ｐ－ｖ－Ｔ实验数据拟合了理论中所用ＬＪ势能函数的势能参数，并提出一个通用关联式。本文方法具有通用性，在编制的计算程序中只需输入物质的临界温度、临界比容、偏心因子等就能算出相应的比热容，工程应用十分方便。     

Oil supply between OPEC and non-OPEC based on game theory

The competing strategies between OPEC (Organization of the Petroleum Exporting Countries) and non-OPEC producers make the oil supply market a complex system, and thus, it is very difficult to model and to make predictions. In this paper, we combine the macro-model based on game theory and micro-model to propose a new approach for forecasting oil supply. We take into account the microscopic behaviour in the clearing market and also use the game relationships to adjust oil supplies in our approach. For the supply model, we analyse and consider the different behaviour of non-OPEC and OPEC producers. According to our analysis, limiting the oil supply, and thus maintaining oil price, is the best strategy for OPEC in the low-price scenario, while the rising supply is the best strategy in the high-price scenario. No matter what the oil price is, the dominant strategy for non-OPEC producers is to increase their oil supply. In the high-price scenario, OPEC will try to deplete non-OPEC’s share in the oil supply market, which is to OPEC’s advantage.     

Structuration bridging diffusion of innovations and gender relations theories: a case of paradigmatic pluralism in IS research

This paper discusses the adoption of a pluralist theoretical framework – one that is also multiparadigmatic – for conducting and publishing information system (IS) research. The discussion is illustrated by a single case study involving the Australian cotton industry. The theoretical framework is informed by three sociological theories, each with its particular paradigmatic assumptions: structuration theory as a meta‐theory, and diffusion of innovations and gender relations as lower‐level theories from notionally opposing paradigms. Theoretical pluralism helped to produce rich findings, illuminating both the social nature of women farmers' roles, the materiality of the cotton farming context, the characteristics of the decision support systems in use and the recursive way in which human agency and institutional pressures shape each other. Because users of so‐called divergent paradigms often face criticism based on the incommensurability issue, one of the main contributions of this paper is to discuss the value of a pluralist and multiparadigmatic theoretical framework in dealing with complex IS social phenomena.     

Multi-Wavelength vs. Binary Code Pattern Unwrapping in Fringe Projection Method

Phase extraction, phase unwrapping and phase to height conversion are consecutive steps within the fringe projection method for reconstruction of 3D objects. The procedure of determining discontinuities on the wrapped phase, resolving them and achieving the unwrapped phase is called phase unwrapping. A software system was developed that provides the ability to create many kinds of patterns with a verity of desirable properties suitable for different demands in fringe projection systems. In our previous work, an experimental study was reported based on a multi-wavelength unwrapping approach. In the following work, we implemented a new method called binary code pattern unwrapping that is based on time analysis. A comparison of the two unwrapping approaches in terms of resolution, quality, noise, depth accuracy, and computational cost is provided.     

Markov随机场与Gaussian曲线在MR图像分割中的应用

针对扫描的人脑组织MR图像边缘分辨率低、模糊性大的特点,本文提出了一种基于模糊Markov随机场和Gaussian曲线相结合的MR图像最佳阈值分割方法。该方法通过对图像的像素邻域属性的统计将模糊论引入其中,建立模糊Markov随机场,并利用Gaussian曲线对二维直方图最佳一维投影进行拟合,确定出图像中各脑组织的二维阈值点,在二维直方图上实现对脑组织的分割。通过实验表明,本算法能够有效提高脑组织的分辨率,对噪声的鲁棒性、结果区域的连通性相对于一维Otsu和二维Otsu算法都有了很大的提高。     

关于图像反走样的理论及应用

图像反走样是用于提升图像质量的一个重要环节。导致图像失真的主要原因是由于采样频率过低及重建过滤器的质量低下。在实时渲染的应用中,随着硬件的发展及渲染架构的改变,主流反走样技术逐渐从硬件加速模式发展到后处理模式。纯后处理算法由于缺失子像素信息,无法生成高质量的反走样图像。针对这一问题,混合反走样在保留了后处理反走样效率的同时,通过结合多重采样能提供更精确的边缘处理,并保证图像在时序上的稳定性。