Multi-features Based Approach for Moving Shadow Detection

In the video-based surveillance application, moving shadows can affect the correct localization and detection of moving objects. This paper aims to present a method for shadow detection and suppression used for moving visual object detection. The major novelty of the shadow suppression is the integration of several features including photometric invariant color feature, motion edge feature, and spatial feature etc. By modifying process for false shadow detected, the averaging detection rate of moving object reaches above 90% in the test of Hall-Monitor sequence.

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST, also called the Guo Shou Jing Telescope) is a special reflecting Schmidt telescope. LAMOST’s special design allows both a large aperture (effective aperture of 3.6 m–4.9 m) and a wide field of view (FOV) (5°). It has an innovative active reflecting Schmidt configuration which continuously changes the mirror’s surface that adjusts during the observation process and combines thin deformable mirror active optics with segmented active optics. Its primary mirror (6.67m×6.05 m) and active Schmidt mirror (5.74m×4.40 m) are both segmented, and composed of 37 and 24 hexagonal sub-mirrors respectively. By using a parallel controllable fiber positioning technique, the focal surface of 1.75 m in diameter can accommodate 4000 optical fibers. Also, LAMOST has 16 spectrographs with 32 CCD cameras. LAMOST will be the telescope with the highest rate of spectral acquisition. As a national large scientific project, the LAMOST project was formally proposed in 1996, and approved by the Chinese government in 1997. The construction started in 2001, was completed in 2008 and passed the official acceptance in June 2009. The LAMOST pilot survey was started in October 2011 and the spectroscopic survey will launch in September 2012. Up to now, LAMOST has released more than 480 000 spectra of objects. LAMOST will make an important contribution to the study of the large-scale structure of the Universe, structure and evolution of the Galaxy, and cross-identification of multiwaveband properties in celestial objects.

A Comparative Study of Acute Hemodynamic Effects of Multi -site Cardiac Pacing in patients with cardiac function NYHA class ⅠtoⅡ without bundle branch block

Objective To compare the acute hemodynamic effects of five different pacing modes in patients with cardiac function NYHA class Ⅰ to Ⅱ without bundle branch block (BBB). Methods This study included 12 patients (SSS 7, Ⅲ°AVB 5) undergoing pacemaker implantation. Right ventricular apex (RVA), right ventricular outflow tract (RVOT), right ventricular bifocal (RV-Bi), left ventricular base (LVB) and bi -ventricular (Bi-Ⅴ) pacing at 60 -80 ppm were done in VVI mode prior to implantation of DDD pacemaker. The cardiac index (CI), mean pulmonary artery pressure (mPAP) and pulmonary capillary wedge pressure (PCWP) were measured with Swan - Ganz thermodilution catheter after 5 minutes of each pacing mode. Results (1) Comparing to pacing at RVA (CI: 2. 41± 0. 38 L/min per m2, PCWP: 16. 7 ±3.3 mmHg), the CI increased and the PCWP decreased significantly in pacing at RVOT(CI: 2. 63 ± 0.46, PCWP: 13. 8±2. 3), LVB(CI: 2. 78±0.52, PCWP: 14. 4±3.1), RV-Bi(CI: 2. 83±0.57, PCWP: 12. 8± 2. 5) and Bi -Ⅴ pacing (CI: 2. 94± 0.60, PCWP: 12. 7±2. 5), P < 0. 01, respectively. (2) The CI of RV-Bi and Bi-Ⅴ pacing was higher than that of RVOT and LVB pacing, the PCWP was lower, P < 0. 05, respectively. (3) There was no significant difference between RV - Bi pacing and Bi-Ⅴ pacing in CI and PCWP. Conclusion There is no significant difference between RV - Bi pacing and Bi -V pacing in the acute hemodynamic effects; however,dual - site pacing is much better than single site pacing in that aspect for patients with cardiac function NYHA class Ⅰ to Ⅱ without BBB. Among single site pacing, the RVOT and LVB pacing is better than RVA pacing in cardiac function.

Research on A Master - slave Multi - microcomputers Control System for Hollow Spindle Fancy Yarn Spinning Machine

In this paper, a successfully studied and developed master - slave muld - microcomputers control system based on PC - BUS for hollow spindle fancy yarn spinning machine, mainly Its overall scheme, software and hardware construction, is introduced. Spinning experiments show that the system achieves satisfactory result. This system can solve the diftkultles of mechatronical fusion between domestic hollow splndk fancy yarn spuming muchine and its microcomputer control technology.

On the Representation of Multi-layer Woven Structure

A quantitative method is developed to identify the structures of multi-layer woven fabric in this study. Six structural parameters are selected to represent the fabric structure. With some design criteria for the reinforcement of textile composites, the relationships among the structural parameters are derived for different binding patterns of the fabric structure. The conditions, which meet the requirements of structural cell stability,are also discussed.

Computer-aided Pattern Design of Multi-bar Warp Knitted Fabrics

To meet the development trend of multi-bar warp knit-ting machine towards high-speed,advanced technologyand computer control and the requirements of variousproducts with small quantity,there are many researcheson the computer-aided pattern design of multi-barwarp knitted fabrics.In terms of the special propertiesof the computer-aided pattern design of multi-barwarp knitted fabrics,the Object Oriented Program(OOP)programming-Object Windows class Library(OWL)programming is selected.According to thecharacters of the OWL programming,various functionsare defined.Pattern design and technical parameters canbe output,which offers a great convenience for the fac-tory.

MODS： A Novel Metaheuristic of Deterministic Swapping for the Multi-Objective Optimization of Combinatorials Problems

This paper states a new metaheuristic based on Deterministic Finite Automata （DFA） for the multi - objective optimization of combinatorial problems. First, a new DFA named Multi - Objective Deterministic Finite Automata （MDFA） is defined. MDFA allows the representation of the feasible solutions space of combinatorial problems. Second, it is defined and implemented a metaheuritic based on MDFA theory. It is named Metaheuristic of Deterministic Swapping （MODS）. MODS is a local search strategy that works using a MDFA. Due to this, MODS never take into account unfeasible solutions. Hence, it is not necessary to verify the problem constraints for a new solution found. Lastly, MODS is tested using well know instances of the Bi-Objective Traveling Salesman Problem （TSP） from TSPLIB. Its results were compared with eight Ant Colony inspired algorithms and two Genetic algorithms taken from the specialized literature. The comparison was made using metrics such as Spacing, Generational Distance, Inverse Generational Distance and No-Dominated Generation Vectors. In every case, the MODS results on the metrics were always better and in some of those cases, the superiority was 100%.

Highlight with Infinite Charm China Fashion Week Collections A/W 07-08

With the start of HEMPEL AWARD the 15th China International Young Fashion Designer Contest,China Fashion Week

Pressure Gradient Force,Saffman Lift,and Magnus Lift on the Fiber-like Particle in Fluid

Flher-like particle suspensions are common in both na-ture and industry, but there is little work reported on it.The forces acting on the fiber - like particle in fluid arestudied in this paper, and the Magnus lift, Saffman lift,pressure gradient force, and then the dynamics modelhave been received. The numerical study of the simpleshear flow past the cylinders shows that the particles ’motion is controlled by the vortex.

耦合浅海声信道目标回波建模与检测性能分析

为提高浅海扩展目标回波检测性能,基于浅海声信道模型和多亮点模型,建立了耦合浅海声信道扩展目标回波模型,并基于副本相关积分(RCI)检测理论对浅海多亮点目标回波RCI检测进行了理论推导。采用带宽分别为50 Hz,100 Hz,500 Hz,1000 Hz的线性调频信号,仿真分析了不同浅海环境下的RCI检测性能。结果表明,海深、声呐深度、目标位置和波形带宽都会影响浅海目标回波扩展特性和RCI检测性能,合适的声呐深度和波形带宽有利于提高浅海扩展目标检测性能。

基于并行多轴自注意力的图像去高光算法

图像高光层模型的模糊性和高光动态范围大的特点,使得图像去高光成为了一个挑战性的视觉任务。纯局部性方法容易导致图像高光区出现伪影,纯全局性方法容易使图像非高光区色彩失真。针对图像去高光中局部和全局特征不平衡导致的上述问题,以及高光层建模的模糊性,提出了基于并行多轴自注意力机制的门限融合U型深度网络图像去高光算法。该方法通过隐式建模避免了高光层模型模糊引入的问题,利用U型网络结构将上下文信息与低层信息融合对无高光图像进行估计,并在U型结构编码器和解码器之间引入门限融合结构进一步提升网络模型的特征表达能力。此外,U型网络的单元结构通过融合局部和全局自注意力平衡了局部和全局特征的编码和解码。定性实验结果表明,文中方法可以更有效地去除图像中的高光,其他对比算法在高光处容易产生伪影和失真。定量实验结果表明,文中方法在PSNR和SSIM指标上优于其他五种典型的图像去高光方法,在三个数据集上,PSNR值分别高于次优方法4.10、7.09、6.58 dB,SSIM值分别取得了4%、9%和3%的增量。

基于多亮点模型的目标回波信号在水声对抗仿真系统中的应用

研究了水下目标回波信号多亮点模型的仿真实现问题,提出了一种能够满足水声对抗试验仿真系统实时性要求的目标亮点三参数求解方法,计算机仿真结果验证了文中所采用的理论模型的正确性和文中处理方法的有效性。

局部高亮干扰文本图像的二值化方法研究

本文提出一种新的基于Curvelet变换的文本图像二值化处理方法,以消除文本图像中局部高亮度区域对二值化图像质量的影响。首先对具有局部高亮度区域干扰的原始文本图像进行Curvelet变换,得到图像在曲波域的Curvelet系数集;然后根据各Curvelet系数所表征的图像特征,对Curvelet系数进行非线性增强,以优化文本图像的直方图分布;对增强的Curvelet系数集进行反变换,得到直方图优化后的时域图像,进而应用Otsu方法实现文本图像二值化。应用本文方法对具有带状及点状局部高亮度区域的文本图像进行二值化处理,并采用ABBYYFineReader10对二值图像进行OCR识别。实验结果表明,通过本文提出的处理方法所得到的二值化图像,其字符的OCR识别准确率最高可达94.81%,优于其他四种典型的图像二值化处理方法。

高难度水平下单通道与多通道突显的效用性研究

研究在高难度水平条件下,视觉突显、听觉突显和视听多通道突显对被试搜索判断绩效的影响。实验结果与分析表明:不同的突显方式对视觉搜索绩效有明显影响;在高难度水平的视觉搜索任务中,视觉突显和听觉突显均具有较好的效用性,多通道突显的效用性比单通道突显的效用性好。

基于记分牌时间和新闻文本提取足球视频精彩事件

基于移动视频搜索等媒体应用对视频语义事件分析的迫切需求,提出一种新的足球视频精彩事件多模分析方法(简称多模事件分析法),即从体育网站新闻中抽取文本,利用音视频特征合成的情感激励曲线确定视频事件位置和精彩程度,基于自动提取的记分牌时间对齐文本事件和视频事件,实现了多模精彩事件的准确抽取和丰富语义标注。结果表明,多模事件分析法在进球、射门、犯规、角球、任意球等事件检测中不仅具有较高的准确率和查全率,而且标注结果更丰富,包含精彩程度、事件类型和文本描述等多模语义信息。

多亮点声纳目标轨迹起始技术

高分辨率声纳目标具有多亮点分布特性,传统轨迹起始算法很难有效对其轨迹起始。针对声纳目标多亮点分布特性,设计了基于蒙特卡洛方法的轨迹起始算法,其根据跟踪门内每个分布亮点的特性,估计目标的概率分布,推出目标位置信息。由于轨迹起始算法考虑了声纳目标的多亮点属性和每个亮点的信息,并在轨迹起始过程中没有将速度、加速度、角度等作为轨迹起始的限制条件,而是在确认阶段,作为限制条件,对不符合逻辑的轨迹进行淘汰,对符合逻辑的进行动静分类。所以此轨迹起始算法克服了传统算法容易将多亮点目标起始为多个轨迹或轨迹起始错误的缺点。用不同方法对多亮点分布声纳目标数据进行了轨迹起始,结果验证了该方法的有效性。

总氮含量分析方法比较及黑龙江典型淡水养殖池塘和自然水域总氮含量的变化

应用Multi N/C2100S分析仪与紫外-可见分光光度计对1个有证标准样品和6个实际水样总氮含量进行对比实验,予以验证。结果表明:两种仪器对已知浓度的有证标准样品测得的平均值接近真值,RSD<1%、相对误差<5%,结果准确度和精密度无显著差异。Multi N/C2100S分析仪可以高效、快速批量测定。5个月中4次监测6个实际水样总氮含量的结果为:白鱼泡水体中TN含量无显著变化;宾县1~#和3~#池塘水体含量逐月升高;5月稻田TN含量明显偏高,可能是水稻生长施肥所致;7月松花江水样TN含量高于其他月份,可能受养殖密度、模式、天气、投饵量、施肥量及周边农作物施药量的影响。

双指数变换与多尺度细节凸显的红外图像增强

鉴于现有的红外图像增强方法易产生局部的欠增强和过增强以及不清晰的边缘纹理,提出了一种双指数变换与多尺度细节凸显的红外图像增强方法。根据红外图像边缘纹理的粒度,基于Retinex理论用双边滤波将红外图像分解为大、中和小尺度的细节层和基础层;对基础层进行系数小于1的自适应指数变换,在控制亮区过增强的同时自适宜地提高图像的亮度和对比度,而对大、中和小尺度的细节层分别进行系数大于1的自适应指数变换,多尺度地增强图像的边缘细节。实验结果表明,所提方法具有比部分现有方法更优的增强效果,增强图像的视觉效果较清晰,对应的平均梯度和信息熵均较高,而无参考图像质量指标更小。

基于改进Huber估计的水下尺度目标参数估计

尺度目标参数是水下声自导武器近程进行弹道机动和垂直命中攻击的关键参数,有效估计尺度目标的特征参数对保证水下声自导武器作战毁伤效果至关重要。本文利用水下声自导武器检测得到的尺度目标多亮点信息对目标尺度参数进行估计,然而目标不同反射部位的反射能力不同,对应的多亮点检测信噪比存在差异,直接利用最小二乘拟合进行尺度参数估计可能会造成较大的估计误差。基于Huber稳健M估计原理,通过分析对Huber估计进行了改进,该方法利用亮点强度和拟合误差计算迭代拟合权值矩阵,通过拟合误差剔除可能存在的干扰亮点,能对目标长度、走向角、等效点进行有效估计。仿真分析和实航试验结果均表明,该方法具有稳健的收敛性能,能有效剔除干扰点,具有较强的抗干扰能力和较高的参数估计精度。

可持续发展研究的学科动向

近40年来,可持续发展的概念、理论和方法不断拓展,已成为当今国际社会普遍关心的热点问题。利用中国知网(http://epub.cnki.net)的网络平台,分别以"生态学"、"经济学"、"社会学"以及"可持续发展"为关键词,对6个数据库跨库检索1993年至2011年的所有文献。分别从以上3个学科的角度,对这些文献的研究内容、研究方法进行了统计,分析国内可持续发展研究的趋势。结果表明,可持续发展的研究在3个学科方向上都表现出多学科交叉性、领域综合性、方法定量化的总体趋势;其中生态学在研究方法上较为突出。