Dynamic Shortest Path Monitoring in Spatial Networks

With the increasing availability of real-time traffic information, dynamic spatial networks are pervasive nowadays and path planning in dynamic spatial networks becomes an important issue. In this light, we propose and investigate a novel problem of dynamically monitoring shortest paths in spatial networks (DSPM query). When a traveler aims to a destination, his/her shortest path to the destination may change due to two reasons: 1) the travel costs of some edges have been updated and 2) the traveler deviates from the pre-planned path. Our target is to accelerate the shortest path computing in dynamic spatial networks, and we believe that this study may be useful in many mobile applications, such as route planning and recommendation, car navigation and tracking, and location-based services in general. This problem is challenging due to two reasons: 1) how to maintain and reuse the existing computation results to accelerate the following computations, and 2) how to prune the search space effectively. To overcome these challenges, filter-and-refinement paradigm is adopted. We maintain an expansion tree and define a pair of upper and lower bounds to prune the search space. A series of optimization techniques are developed to accelerate the shortest path computing. The performance of the developed methods is studied in extensive experiments based on real spatial data.     

Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization

The existing algorithms to solve dynamic multiobjective optimization (DMO) problems generally have difficulties in non-uniformity, local optimality and non-convergence. Based on artificial immune system, quantum evolutionary computing and the strategy of co-evolution, a quantum immune clonal coevolutionary algorithm (QICCA) is proposed to solve DMO problems. The algorithm adopts entire cloning and evolves the theory of quantum to design a quantum updating operation, which improves the searching ability of the algorithm. Moreover, coevolutionary strategy is incorporated in global operation and coevolutionary competitive operation and coevolutionary cooperative operation are designed to improve the uniformity, the diversity and the convergence performance of the solutions. The results on test problems and performance metrics compared with ICADMO and DBM suggest that QICCA has obvious effectiveness and advantages which shows great capability of evolving convergent, diverse and uniformly distributed Pareto fronts.     

Adaptive Denoising Using a Modified Sparse Coding Shrinkage Method

This paper proposes a novel denoising method for natural images by using a modified sparse coding (SC) algorithm, which is self-adaptive to the statistical property of natural images. The main idea is to utilize the shrinkage function, which is selected according to the prior distribution of sparse components, to the sparse components to remove Gaussian white noise added in an image. This denoising method is respectively evaluated by the criteria of normalized mean squared error (NMSE), Laplace mean square error (LMSE) and peak signal to noise ratio (PSNR). Compared with other denoising methods, the simulation results show that our sparse coding shrinkage technique is indeed effective and efficient.     

传爆管用聚奥99炸药研究

介绍了具有高煤轰感度和耐热特性的聚奥99炸药的配方、制备工艺、性能以及装入传爆管后产品的性能和应用状况。     

Numerical investigation of supercritical water-cooled nuclear reactor in horizontal rod bundles

The commercial CFD code STAR-CD v4.02 is used as a numerical simulation tool for flows in the supercritical water-cooled nuclear reactor (SCWR). The basic heat transfer element in the reactor core can be considered as round rods and rod bundles. Reactors with vertical or horizontal flow in the core can be found. In vertically oriented core, symmetric characters of flow and heat transfer can be found and two-dimensional analyses are often performed. However, in horizontally oriented core the flow and heat transfer are fully three-dimensional due to the buoyancy effect. In this paper, horizontal rods and rod bundles at SCWR conditions are studied. Special STAR-CD subroutines were developed by the authors to correctly represent the dramatic change in physical properties of the supercritical water with temperature. In the rod bundle simulations, it is found that the geometry and orientation of the rod bundle have strong effects on the wall temperature distributions and heat transfers. In one orientation the square bundle has a higher wall temperature difference than other bundles. However, when the bundles are rotated by 90° the highest wall temperature difference is found in the hexagon bundle. Similar analysis could be useful in design and safety studies to obtain optimum fuel rod arrangement in a SCWR.     

基于微粒子群理论的二维最大类间方差阈值分割算法

针对传统二维最大类间方差(Otsu)阈值分割算法处理红外图像耗时的缺点,提出了一种应用微粒子群理论的二维Otsu阈值分割算法.该算法利用粒子群理论的群体智能的特点,通过优化得出粒子的个体极值和全局极值,并根据这两种极值来更新粒子的位置和速度以获得最佳的分割阈值向量.通过对算法中惯性权重和学习因子的讨论确定了最佳的参数选择方案.仿真结果表明,该算法计算准确,流程简单,其运行时间仅为原始算法的5%左右,是一种快速有效的图像阈值分割算法.     

Duffing振子信号检测方法用于配电网单相故障接地保护

Duffing振子信号检测技术利用混沌系统的分岔特性来检测外界信号，将待测信号作为Duffing方程周期策动力的摄动，利用初值敏感性可以获得很高的测量灵敏度和良好的抗噪性能。基于Duffing振子信号检测技术提出一种新型的单相接地故障选线方法。故障后故障线路和非故障线路零序电流将使Duffing振子系统分别处于大周期或混沌状态，据此可以选出故障线路，从而将选线问题转化为待测故障信号从无到有的敏感检测问题，简化了选线过程，抗噪性能好，提高了接地保护的灵敏度。文中给出了该方法的具体实现步骤。采用虚拟仪器技术，开发了基于混沌选线方法的小电流接地系统单相接地故障选线仪。实验室物理模拟实验和现场录波数据分析结果证明了该方法的可行性和有效性。     

济阳坳陷东营组沉积体系新认识

东营组作为济阳坳陷断陷末期沉积的重要层系,对其沉积体系认识不清导致对其储层分布、油藏类型、成藏规律不明确,从而制约了东营组的勘探。综合钻井、测井、地震等资料,依据沉积学基本原理和方法,通过断陷末期盆地地质构造特征及岩相古地理多因素分析表明,济阳坳陷东营组沉积时期在单斜式构造背景控制下形成了东部跨凹陷的大型辫状河三角洲沉积,东三段沉积时期是辫状河三角洲主要发育期,东二段湖盆收缩、沉积范围缩小,西部以滨浅湖沉积为主,伴有小型的近源扇三角洲及近岸水下扇沉积,东部演化为以河流相为主。东一段沉积时期湖盆萎缩,广泛发育河流相及滨浅湖沉积。平面上充填样式表现为由南部的东营凹陷辫状河三角洲平原亚相、前缘亚相向北部沾化—滩海地区的前三角洲亚相过渡,前三角洲发育一定规模的滑塌浊积扇。东营组沉积模式的建立不仅完善了济阳坳陷新生代沉积演化序列,对东营组储层预测起到了重要指导作用,而且也为今后东营组成藏条件的研究奠定了基础。     

面向对象的程序设计语言CLUSTER86的设计与实现

本文介绍了笔者设计并实现的一种新型的面向对象的程序设计语言,着重讨论了在设计过程中采用的新的概念,并和其它类似语言作了比较.     

计算机辅助材料设计的偏最小二乘法－人工神经网络研究

在噪声小的ＰＬＳ（偏最小二乘法）空间上，样本集的局部投影可被用作ＢＰＮ（反向传播网络）的输入元素以建立一种“平衡”的神经网络结构，这种结构在很大程度上克服了通常ＢＰＮ过拟合的缺点。在ＰＬＳ子空间优化区，利用非线性逆映照技术设计的基于期望目标值的样本可通过ＰＬＳ－ＰＮ方法预报和选取。本文还利用此方法设计了若干以初始容量为目标的Ｎｉ／ＭＨ电池阴极材料。