用于标定和优化的高压共轨柴油机建模

高压共轨柴油机可控燃油喷射参数的增加,在使对燃烧的控制更加灵活的同时也带来标定和优化工作量显著增加的问题.为适应高效率的需要,提出并研究了基于模型的标定优化,即采用神经网络在一些工况点上建立模型,再通过自适应神经模糊推理系统(ANFIS)进行插值,将模型由这些工况点扩展到所需工况空间.模型精度由对象、建模所用数据量及模型参数调整共同决定.试验在一台六缸高压共轨柴油机上进行.理论分析和试验结果表明 该方法可以在保证精度的同时有效减少标定优化的试验工作量.     

生物活性物质的电致化学发光检测

电致化学发光是通过电极上直接或间接发生的电化学反应而产生的一种化学发光,因此电致化学发光检测是在化学发光和电化学基础上发展起来的一种新的分析技术。电致化学发光检测技术不但保留了化学发光分析和电化学分析固有的优点,同时还具有其自身的优点,如所发生的化学发光反应易于控制;方法更灵敏,更具有选择性;可以获得更多的化学信息;扩大了化学发光方法可检测的范围;更易于与现代分离技术联用。生物体中很多生物活性物质具有电活性,因此用现代电化学技术研究其电化学行为具有重要的理论意义和实际应用价值。生物体中的生物活性物质通常浓度很低,并且成分复杂,因此分离检测生物体中生物活性物质非常困难。由于电致化学发光检测具有灵敏度高,选择性好的特点,无疑是检测生物体中生物活性物质的强有力工具,如果它能与HPLC、CE及FIA等现代分离技术相结合,将表现出更加强大的生命力。     

Oxygen intervention in the regulation of gene expression: the photosynthetic bacterial paradigm

The means by which oxygen intervenes in gene expression has been examined in considerable detail in the metabolically versatile bacterium Rhodobacter sphaeroides. Three regulatory systems are now known in this organism, which are used singly and in combination to modulate genes in response to changing oxygen availability. The outcome of these regulatory events is that the molecular machinery is present for the cell to obtain energy by means that are best suited to prevailing conditions, while at the same time maintaining cellular redox balance. Here, we explore the dangers associated with molecular oxygen relative to the various metabolisms used by R. sphaeroides, and then present the most recent findings regarding the features and operation of each of the three regulatory systems which collectively mediate oxygen control in this organism.Received 26 June 2003; received after revision 30 July 2003; accepted 8 August 2003     

Angiogenesis and signal transduction in endothelial cells

Endothelial cells receive multiple information from their environment that eventually leads them to progress along all the stages of the process of formation of new vessels. Angiogenic signals promote endothelial cell proliferation, increased resistance to apoptosis, changes in proteolytic balance, cytoskeletal reorganization, migration and, finally, differentiation and formation of a new vascular lumen. We aim to review herein the main signaling cascades that become activated in angiogenic endothelial cells as well as the opportunities of modulating angiogenesis through pharmacological interference with these signaling mechanisms. We will deal mainly with the mitogen-activated protein kinases pathway, which is very important in the transduction of proliferation signals; the phosphatidylinositol-3-kinase/protein kinase B signaling system, particularly essential for the survival of the angiogenic endothelium; the small GTPases involved in cytoskeletal reorganization and migration; and the kinases associated to focal adhesions which contribute to integrate the pathways from the two main sources of angiogenic signals, i.e. growth factors and the extracellular matrix.Received 13 February 2004; received after revision 25 March 2004; accepted 19 April 2004     

Fingerprint representation methods based on B-Spline functions

The global characteristics of a fingerprint image such as the ridge shape and ridge topology are often ignored in most automatic fingerprint verification system.In this paper,a new representative method based on B-Spline curve is proposed to address this problem.The resultant B-Spline curves can represent the global characteristics completely and the curves are analyzable and precise.An algorithm is also proposed to extract the curves from the fingerprint image.In addition to preserve the most information of the fingerprint image,the knot-points number of the B-Spline curve is reduced to minimum in this algorithm. At the same time,the influence of the fingerprint image noise is discussed.In the end,an example is given to demonstrate the effectiveness of the representation method.     

A detection strategy of multi-pose face in compressed domain

In this paper, we present a strategy to implement multi pose face detection in compressed domain. The strategy extracts firstly feature vectors from DCT domain, and then uses a boosting algorithm to build classifiers to distinguish faces and non-faces. Moreover. to get more accurate results of the face detection, we present a kernel function and a linear combination to build incrementally the strong classifiers based on the weak classifiers. Through comparing and analyzing results of some experiments on the synthetic data and the natural data, we can get more satisfied results by the strong classifiers than by the weak classifies.     

Constructing three-dimension space graph for outlier detection algorithms in data mining

Outlier detection has very important applied value in data mining literature. Different outlier detection algorithms based on distinct theories have different definitions and mining processes. The three-dimensional space graph for constructing applied algorithms and an improved GridOf algorithm were proposed in terms of analyzing the existing outlier detection algorithms from criterion and theory.     

Decision cost feature weighting and its application in intrusion detection

This paper introduces the cost sensitive feature weighting strategy and its application in intrusion detection. Cost factors and cost matrix are proposed to demonstrate the misclassification cost for IDS. How to get the whole minimal risk. is mainly discussed in this paper in detail. From experiments, it shows that although decision cost based weight learning exists somewhat attack miselassifieation, it can achieve relatively low misclassification costs on the basis of keeping relatively high rate of recognition precision.     

一种适用于软件雷达系统的数据流驱动机制

针对雷达信号处理各功能模块之间显著的流水性特征 ,结合一个通用的雷达信号处理系统———由清华大学研制的通用高速实时雷达信号处理系统的实验样机DSM(dataflow ,sharedmemoryandmultiplebusinterconnec tion) ,在研究现有静态、动态数据流驱动机制特点的基础上 ,提出了一种新型的适用于软件雷达系统的进程间准动态数据流驱动机制 ,并针对一个雷达信号处理的范例程序说明了编译器数据流驱动表的生成和系统数据流驱动的过程。