Marmaray project: Tunnels and stations in BC contract

Istanbul is one of the most famous historical cities in the world. However, the project alignment selected as the best of a range of alignments cannot avoid passing beneath the historical and cultural heritages of Istanbul as well as under ancient and densely inhabited areas of the city. This paper will explain some of the challenges related to the bored tunnels.

Historical buildings are vulnerable. Yet many existing residential and office buildings are old and constructed on minimal foundations. As a consequence, it is vital that any drawdown of groundwater and any ground settlements have to be minimized.

In addition, the connection between the immersed and bored tunnels will be made directly and totally underground, without the usual intermediate shafts and beneath the deep waters of the Bosphorus Strait. This operation needs the utmost control of the tunnel excavation face to ensure its stability and to minimize water ingress. Based on such considerations, tunnel excavation by tunnel boring machine (TBM) using a slurry shield and having the ability to operate under high pore pressures was recommended as the method of excavation for the main running tunnels.

The paper will explain how the design team from Avrasyaconsult – the Employer’s Representative – arrived at the final minimum, specific and functional requirements of the bored tunneling works which are to be carried out using the ‘FIDIC EPC/Turnkey Project’ conditions.     

一种基于步幅长度及频域特征的步态识别方法

步态识别作为一种较新的生物认证技术有其独特优势,它旨在根据人行进过程中的行走步态模式来识别其身份.提出一种基于步幅长度及频域特征的步态识别方法:首先采用背景减除算法实现运动人体检测,并根据步幅长度变化特征进行周期分割.然后提取步幅长度极值结合关键帧的频幅均值构成五维特征向量,最后用标准模式分类器在中科院自动化所提供的CASIA步态数据库中进行实验,在降低了算法复杂度的同时,获得了令人鼓舞的实验结果.     

双护盾掘进机洞轴线纠偏实例

在利用双护盾隧洞掘进机进行同忻煤矿主斜井开挖的过程中发生了卡机事故,开挖斜井的轴线偏离了正确的方向。文中分析了事故发生的原因,介绍了采取的掘进机整机后退的措施,使得成功地摆脱了困境。     

Supervised classification of share price trends

Share price trends can be recognized by using data clustering methods. However, the accuracy of these methods may be rather low. This paper presents a novel supervised classification scheme for the recognition and prediction of share price trends. We first produce a smooth time series using zero-phase filtering and singular spectrum analysis from the original share price data. We train pattern classifiers using the classification results of both original and filtered time series and then use these classifiers to predict the future share price trends. Experiment results obtained from both synthetic data and real share prices show that the proposed method is effective and outperforms the well-known K-means clustering algorithm.     

最小海明距离分类器的字符识别方法研究

应用最小海明距离(Hamming Distance,缩写HD)分类器,研制了一种新型的基于最小海明分类器的字符识别方法。讨论了该字符识别方法实现的技术路线,较好解决了理论的工程化应用问题,对500帧连续图像的时间字符进行实验,时间字符识别准确率为99.8%,达到了字符比较准确识别的目的。     

A kernel-based centroid classifier using hypothesis margin

The centroid-based classifier is both effective and efficient for document classification. However, it suffers from over-fitting and linear inseparability problems caused by its fundamental assumptions. To address these problems, we propose a kernel-based hypothesis margin centroid classifier (KHCC). First, KHCC optimises the class centroids via minimising hypothesis margin under structural risk minimisation principle; second, KHCC uses the kernel method to relieve the problem of linear inseparability in the original feature space. Given the radial basis function, we further discuss a guideline for tuning the value of its parameter. The experimental results on four well-known data-sets indicate that our KHCC algorithm outperforms the state-of-the-art algorithms, especially for the unbalanced data-set.     

基于多EBP网的案例匹配技术研究

为快速有效地实现案例推理，提出了基于多EBP神经网的案例匹配技术，设计了改进的德尔菲法来确定输出样本集．与传统的最邻近法的结果相比，对于复杂系统，该技术能够提高案例匹配的精确性，更适于解决案例属性权重难以确定或存在着耦合与非线性关系的问题．     

叶轮式分级机的环隙对分级性能的影响

有关环隙对叶轮式超细分级机性能的影响研究尚未有公开发表的资料,本文在这方面做了一些初步的实验研究。实验研究发现：环隙对分级性能的影响很大,把环隙作为调控参数很有前途。     

中国氦冷固态增殖剂实验包层模块材料研究进展

在未来核聚变反应堆中,为补充氚的消耗,需要在核聚变堆的包层中进行氚的在线增殖,以维持核聚变反应的持续进行。为验证这一关键技术,在国际热核聚变实验堆（ITER）上开展了ITER TBM计划（实验包层项目）。作为ITER计划成员方之一,中方以中国氦冷固态增殖剂实验包层模块（HCCB TBM）概念参与ITER TBM计划。HCCB TBM现今进入初步设计阶段,而材料的制备技术和性能数据是支撑其结构设计、安全分析和服役工况评估的基础。本文综述和分析了HCCB TBM结构材料低活化铁素体/马氏体钢（RAFM钢）与功能材料氚增殖剂和中子倍增剂的研究现状,并对这些材料下一步的研究方向进行了展望。     

改进的快速行人检测方法

行人检测在视频监控以及智能车系统中有着广泛的应用前景,为了能够更有效地检测行人,将人脸检测中级联检测框架引入行人检测中,并对其进行改进,采用Gentle AdaBoost算法进行分类器训练,以提高训练效率,同时在训练前引入了特征预筛选,以减少训练时间和系统开销。实验表明,改进后的方法训练时间短,检测精度高,同时具有较快的检测速度。