Maxi-min margin machine: learning large margin classifiers locally and globally.

In this paper, we propose a novel large margin classifier, called the maxi-min margin machine M(4). This model learns the decision boundary both locally and globally. In comparison, other large margin classifiers construct separating hyperplanes only either locally or globally. For example, a state-of-the-art large margin classifier, the support vector machine (SVM), considers data only locally, while another significant model, the minimax probability machine (MPM), focuses on building the decision hyperplane exclusively based on the global information. As a major contribution, we show that SVM yields the same solution as M(4) when data satisfy certain conditions, and MPM can be regarded as a relaxation model of M(4). Moreover, based on our proposed local and global view of data, another popular model, the linear discriminant analysis, can easily be interpreted and extended as well. We describe the M(4) model definition, provide a geometrical interpretation, present theoretical justifications, and propose a practical sequential conic programming method to solve the optimization problem. We also show how to exploit Mercer kernels to extend M(4) for nonlinear classifications. Furthermore, we perform a series of evaluations on both synthetic data sets and real-world benchmark data sets. Comparison with SVM and MPM demonstrates the advantages of our new model.     

浅析英法哥特建筑的发展

哥特式建筑于11世纪开始登上历史舞台,它在这个舞台上闪耀了8个世纪,也影响了整个欧洲乃至全世界的建筑风格。文章就英法两国哥特式建筑风格在不同历史背景下的发展和形成原因进行对比分析,并挖掘其历史成因和文化内涵。     

有多少记忆可以重现——探访海南黎族原始制陶术

传承久远的黎族制陶术，至今仍保留着露天平地堆烧的传统，其历史至少也有两三千年的历史。这种制陶的形态和特征，真实地再现着原始的制陶过程，不失为中国古代原始制陶的“活化石”。     

Incorporating fault debugging activities into software reliability models: a simulation approach

A large number of software reliability growth models have been proposed to analyse the reliability of a software application based on the failure data collected during the testing phase of the application. To ensure analytical tractability, most of these models are based on simplifying assumptions of instantaneous & perfect debugging. As a result, the estimates of the residual number of faults, failure rate, reliability, and optimal software release time obtained from these models tend to be optimistic. To obtain realistic estimates, it is desirable that the assumptions of instantaneous & perfect debugging be amended. In this paper we discuss the various policies according to which debugging may be conducted. We then describe a rate-based simulation framework to incorporate explicit debugging activities, which may be conducted according to the different debugging policies, into software reliability growth models. The simulation framework can also consider the possibility of imperfect debugging in conjunction with any of the debugging policies. Further, we also present a technique to compute the failure rate, and the reliability of the software, taking into consideration explicit debugging. An economic cost model to determine the optimal software release time in the presence of debugging activities is also described. We illustrate the potential of the simulation framework using two case studies.     

Bridgman growth of bismuth tellurite crystals

The photorefractive crystal, Bi₂TeO₅, was grown by the modified Bridgman method for the first time. High purity Bi₂O₃ and TeO₂ were used as starting materials and were mixed thoroughly with molar ratio of Bi₂O₃/TeO₂ = 1 ∶ 1. Platinum crucible was fabricated with a seed well of 10 mm in diameter and several folds were pressed so that the spontaneous nuclei could be eliminated through competition. The crucible was sealed during the growth so that the evaporation of TeO₂ was controlled effectively. By optimizing growth parameters, transparent and crack-free Bi₂TeO₅ crystal up to 25 mm in diameter and 40 mm in length was grown successfully.     

受扰动多模具并行多机的动态再调度

文中介绍了有公共交货期的并行多机提前／施后调度问题的数学模型，基于该模型提出了机器数和模具数发生变化后进行快速分析和重新调度的方法，而且有效的利用了人工智能的启发功能，并成功的结合了SA和GA，计算结果表明SA／GA混合算法提高了寻优过程的快速性和优化度。     

基于GSM的变电所遥测遥控系统

提出了基于GSM（全球移动通信系统）的变电所遥测遥控系统，论述了以GSM作为无线接入平台的资源优势，并将GSM无线模块嵌入到应用系统中，用AT命令对其进行控制，实现了系统在GSM网络平台上的运行，探讨了在农村变电所遥测，遥信，遥控及远程防窃电功能的实现方案。     

论我国高新技术产业发展的环境

运用系统分析的方法，结合发达国家的成功经验，对我国高新技术产业发展的环境进行了分类，并对其中关键性的环境进行了深入研究，提出了健全和完善我国高新技术产业发展环境的具体措施。     

滑动回归最小二乘算法在某电动振动台模型辨识中的应用

在分析电动振动台数学模型的基础上,利用先进的滑动回归最小二乘辨识算法,有效地开展了电动振动台这一复杂电力学系统阶数和时延的确认、参数估计,并建立了系统的ARMA模型.给出了某型电动台空台面和另一型振动台带滑台的模型辨识结果,并通过正弦扫频试验实例给出了模型验证.结果表明,该算法辨识精度高,收敛速度快,鲁棒性强,抗噪声能力强,在电动振动台系统辨识上能取得良好的效果.     

主成分回归在中药过程软测量中的应用研究

提出了一种基于主成分回归的中药过程软测量建模方法,该方法克服了变量间相关性对建模的影响,降低了建模维数,实现了中药生产过程参数的在线检测.