59 resultados para ROBUSTNESS


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为减少噪声对相位恢复过程的影响,快速得到正确的解包裹相位,提出了一种改进的相位解包裹方法——加权离散余弦变换解包裹算法。该方法把离散余弦变换和标识相位数据好坏的质量权值结合起来,兼有速度快和可靠度高的优势。为验证此算法,对模拟和实验得到的包裹相位图添加随机噪声和散粒噪声,同时采用加权与非加权离散余弦变换算法进行处理,所得到的解包裹结果与未加噪声的解包裹相位值进行比较,结果表明,通过加权离散余弦变换算法恢复的相位图比非加权离散余弦变换算法所恢复的相位图更接近于理想值,而且两种算法的运行速度基本相同,这证明提

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This paper describes a path-following phase unwrapping algorithm and a phase unwrapping algorithm based on discrete cosine transform (DCT) which accelerates the Computation and suppresses the propagation of noise. Through analysis of fringe pattern with serious noises simulated in mathematic model, we make a contrast between path-following algorithm and DCT algorithm. The advantages and disadvantages or analytical fringe pattern are also given through comparison of two algorithms. Three-dimensional experimental results have been given to prove the validity of these algorithms. Despite DCT phase unwrapping technique robustness and speed in some cases, it cannot be unwrapping inconsistencies phase. The path-following algorithm can be used in automation analysis of fringe patterns with little influence of noise. (c) 2007 Elsevier GmbH. All rights reserved.

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基因的重复(duplication)及其功能的多样性(diversification)为生物体新的形态进化提供了原材料。重复的基因通过表达方式和(或)编码序列的改变而导致其亚功能化(subfunctionalization)和(或)新功能化(neofunctionalization),从而使这些重复基因有可能保留在生物体中,增添生物的遗传稳定性(robustness)和多样性。MADS-box基因在植物(特别是在被子植物)的进化过程中发生了大量的基因重复事件而形成一个多基因家族。MADS-box基因家族的不同成员在植物生长发育过程中起着非常重要的作用,在调控开花时间、决定花分生组织和花器官特征,以及调控根、叶、胚珠及果实的发育中起着广泛的作用。开展对MADS-box基因家族成员的序列结构、表达模式及编码蛋白的功能研究可以为这些同源基因在生物体中的可能命运提供很好的实验依据。本研究以我国特有的蔷薇科物种太行花做实验材料,通过3’ RACE和5’ RACE方法从太行花中克隆了7个MADS-box家族的基因。序列和系统进化树分析表明这7个基因分别与拟南芥的MADS-box基因AG、SHP(SHP1/2)、PI、AP1、FUL和SEP1以及与矮牵牛MADS-box基因PhTM6具有很高的同源性并聚为一支,从而将这7个MADS-box基因分别命名为TrAG(Taihangia rupestris AG)、TrSHP(Taihangia rupestris SHP)、TrPI(Taihangia rupestris PI)、TrAP1(Taihangia rupestris AP1)、TrFUL(Taihangia rupestris FUL)、TrSEP1(Taihangia rupestris SEP1)和TrTM6(Taihangia rupestris PhTM6)。针对克隆的这些基因,具体进行了以下几方面的研究: 第一,对TrAG和TrSHP两个MADS-box基因进行了研究,它们分别属于AG亚家族中旁系同源进化系euAG和PLE进化系的成员。通过原位杂交的方法分析了旁系同源基因TrAG和TrSHP的表达方式是否发生了分化;构建组成型表达载体转化野生型拟南芥,分析了TrAG和TrSHP的编码蛋白的功能是否发生了改变;并进一步通过酵母双杂交的方法比较了TrAG和TrSHP的相互作用方式是否发生了分化。原位杂交分析表明,TrAG和TrSHP主要在雄蕊、心皮和胚珠中表达。在花发育过程中,TrAG起始表达比TrSHP早,在随后将形成雄蕊和心皮原基的分生组织区域以及雄蕊原基中表达;然而直到雄蕊原基出现前未检测到TrSHP的表达。在雄蕊原基形成之后,TrAG和TrSHP在发育的雄蕊、随后将产生心皮原基的分生组织区域以及心皮原基中表达。在花发育的晚期,TrAG在发育的柱头、花柱以及胚珠中均有表达,而TrSHP仅在胚珠中表达。35S::TrAG和35S::TrSHP转基因拟南芥植株表现出相似的表型,包括开花提前;莲座叶和茎生叶向腹卷曲、变小;花芽在时期13前即开放,萼片包裹不住花芽;萼片和花瓣分别被同源异型转化为心皮化和雄蕊化器官,并在萼片向腹面产生异位的胚珠;在茎生叶上产生柱头化的乳突和胚珠;子房弯曲;果实提前沿着开裂区裂开,暴露出胚珠。此外,也观察到35S::TrAG和35S::TrSHP转基因拟南芥植株的一些表型差异,35S::TrAG转基因拟南芥植株花芽呈暗绿色,而35S::TrSHP转基因拟南芥植株花芽呈黄绿色;不同与35S::TrAG转基因植株表型的是,35S::TrSHP转基因拟南芥植株花被脱落受到了抑制,偶尔可以观察到花丝基部融合,果实变短、育性降低。酵母双杂交分析表明TrAG可以与TrSEP3相互作用,而TrSHP不能与TrSEP3形成异源二聚体。以上研究结果表明做为旁系同源基因,TrAG和TrSHP在表达方式上发生了改变,在蛋白编码序列上保持了其祖先的功能,但是编码序列的一些差异还是导致它们之间生化作用方式的不同和一定程度上的亚功能化。基于以上研究结果并结合先前报道的在拟南芥、金鱼草和矮牵牛等物种中旁系同源基因的表达和功能数据,我们提出在不同物种中旁系同源基因在进化过程中维持部分功能冗余(redundant),但是也通过改变表达方式、编码蛋白的功能及蛋白相互作用方式呈现出不同形式的亚功能化和(或)新功能化。 第二,对TrPI基因的功能也进行了初步研究,它属于AP3/PI亚家族PI-like进化系的成员。原位杂交结果表明,TrPI主要在花瓣、雄蕊和胚珠中表达。显示出TrPI与拟南芥同源基因PI保守的表达模式。35S::TrPI转基因拟南芥植株莲座叶发生延迟、变小、并且第一至第三片莲座叶呈白色针状;莲座叶和茎生叶并不像野生型呈有规则的螺旋状排列;花序茎基部、中间或顶端发生2-3个分支;在茎生叶的叶腋内的花序抽出时间明显晚于野生型,并且很小甚至不能完全抽出而藏在叶腋内。低温条件下转基因植株莲座叶的表型更加明显,表现为莲座叶变为针状,无叶片,仅有叶柄结构。这明显不同于35S::PI转基因拟南芥植株的表型。此外,酵母双杂交分析表明TrPI自身可以形成同源二聚体。这种相互作用方式也不同与拟南芥中PI的相互作用方式。以上研究结果表明,TrPI可能与拟南芥PI具有保守的表达模式但编码的蛋白可能获得了新的功能。 第三,构建了一个AP1-like基因(TrAP1)的过量表达载体,转化野生型拟南芥植株,通过反向遗传学分析了TrAP1的功能。35S::TrAP1转基因拟南芥植株开花提前;花序以两朵花终止,形成terminal flower的表型;偶尔可以观察到雄蕊转化为花瓣化的器官;莲座叶呈黄绿色并且其边缘呈锯齿状。酵母双杂交分析表明TrAP1蛋白自身可以形成同源二聚体。这些结果表明TrAP1可能与拟南芥同源基因AP1具有保守的功能。

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In this paper we consider the continuous weak measurement of a solid-state qubit by single electron transistors (SET). For single-dot SET, we find that in nonlinear response regime the signal-to-noise ratio can violate the universal upper bound imposed quantum mechanically on any linear response detectors. We understand the violation by means of the cross-correlation of the detector currents. For double-dot SET, we discuss its robustness against wider range of temperatures, quantum efficiency, and the relevant open issues unresolved.

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This paper presents a novel robot named "TUT03-A" with expert systems, speech interaction, vision systems etc. based on remote-brained approach. The robot is designed to have the brain and body separated. There is a cerebellum in the body. The brain with the expert systems is in charge of decision and the cerebellum control motion of the body. The brain-body. interface has many kinds of structure. It enables a brain to control one or more cerebellums. The brain controls all modules in the system and coordinates their work. The framework of the robot allows us to carry out different kinds of robotics research in an environment that can be shared and inherited over generations. Then we discuss the path planning method for the robot based on ant colony algorithm. The mathematical model is established and the algorithm is achieved with the Starlogo simulating environment. The simulation result shows that it has strong robustness and eligible pathfinding efficiency.

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This paper presents a novel architecture of vision chip for fast traffic lane detection (FTLD). The architecture consists of a 32*32 SIMD processing element (PE) array processor and a dual-core RISC processor. The PE array processor performs low-level pixel-parallel image processing at high speed and outputs image features for high-level image processing without I/O bottleneck. The dual-core processor carries out high-level image processing. A parallel fast lane detection algorithm for this architecture is developed. The FPGA system with a CMOS image sensor is used to implement the architecture. Experiment results show that the system can perform the fast traffic lane detection at 50fps rate. It is much faster than previous works and has good robustness that can operate in various intensity of light. The novel architecture of vision chip is able to meet the demand of real-time lane departure warning system.

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The properties of positively invariant sets are involved in many different problems in control theory, such as constrained control, robustness analysis, synthesis and optimization. In this paper we provide an overview of the literature concerning positively invariant sets and their application to the analysis and synthesis of control systems.

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The robustness and prolongation of multiple filamentation (MF) for femtosecond laser propagation in air are investigated experimentally and numerically. It is shown that the number, pattern, propagation distance, and spatial stability of MF can be controlled by a variable-aperture on-axis pinhole. The random MF pattern can be optimized to a deterministic pattern. In our numerical simulations, we configured double filaments to principlly simulate the experimental MF interactions. It is experimentally and numerically demonstrated that the pinhole can reduce the modulational instability of MF and is favorable for a more stable MF evolution. (c) 2007 Optical Society of America.

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岷江上游地区是我国一个重要的大尺度、复合型生态过渡带,也是一个生态系统脆弱区和敏感区,它不但影响当地和岷江下游的农业生产、生活用水和生态环境,而且影响长江上游地区生态环境改善,在长江上游生态安全格局中占有重要地位。近几十年来,在强烈的自然变化与人类活动干扰下,该区域景观发生了巨大变化,综合研究影响景观变化的自然、社会因子,制定以生态系统可持续为目标的景观管理决策,从而为改善区域生态环境,构建生态安全格局具有重要的科学意义和现实需求。本论文通过对岷江上游农、林、草复合景观诸多因子的研究,通过NetWaver和CDP(Criterium DecisionPlus)平台,分别建立基于模糊逻辑的景观评价知识库和基于多目标决策的景观管理决策模型,实现了岷江上游3种不同目标的景观管理决策预案。本论文取得了如下结论: (1). 景观格局分析表明,岷江上游景观以草地为基质,森林以及其他景观类型作为斑块镶嵌其中,草地类型影响到整个景观格局的生态过程,包括物质的传输与能量的流动。 (2). 通过建立人类活动强度这一可定量化测度的指标,分析了研究区森林、草地、耕地三种主要景观类型的格局变化,结果显示,人类活动视为信息熵输入,其强度大小对景观类型所起的作用不同,正确引导和控制一定范围、一定强度的人类活动可以实现景观的恢复。 (3). 基于NetWeaver系统,设计景观评价模糊知识库,对研究区进行了景观综合评价,整个流域除了四个子流域支持程度为低或者非常低外,其余子流域支持程度较好,景观管理的可行性和有效性水平较高。评价的结果为景观管理预案的设计提供了重要的数据支持。 (4). 综合研究区社会、经济和生态发展三个子系统,通过层次分析法,建立三层指标体系对研究区可持续能力进行评价。结果表明,岷江上游可持续发展能力综合评价值为0.22(理想值为1),反映出景观可持续能力差,实施区域生态系统管理,制订可持续管理预案具有重要性和紧迫性。 (5). 通过CDP(Criterium DecisionPlus)平台,综合所有对景观管理有潜在影响的因素,构建景观管理的决策模型,设计了三个基于不同管理目标的决策预案;并对所设计的管理预案进行了模型不确定性分析、灵敏度分析和因子贡献量分析,验证了预案模型的鲁棒性(robustness);最后,结合生态系统管理系统EMDS(Ecosystem Management Decision System)和ARC/GIS的环境实现预案空间表达,并对决策结果进行了分析与讨论。论文的研究结果是研究区实施景观管理规划的关键性参考依据。

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In this paper, we studied range-based attacks on links in geographically constrained scale-free networks and found that there is a continuous switching of roles of short-and long-range attacks on links when tuning the geographical constraint strength. Our results demonstrate that the geography has a significant impact on the network efficiency and security; thus one can adjust the geographical structure to optimize the robustness and the efficiency of the networks. We introduce a measurement of the impact of links on the efficiency of the network, and an effective attacking strategy is suggested

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The broadcast soccer video is usually recorded by one main camera, which is constantly gazing somewhere of playfield where a highlight event is happening. So the camera parameters and their variety have close relationship with semantic information of soccer video, and much interest has been caught in camera calibration for soccer video. The previous calibration methods either deal with goal scene, or have strict calibration conditions and high complexity. So, it does not properly handle the non-goal scene such as midfield or center-forward scene. In this paper, based on a new soccer field model, a field symbol extraction algorithm is proposed to extract the calibration information. Then a two-stage calibration approach is developed which can calibrate camera not only for goal scene but also for non-goal scene. The preliminary experimental results demonstrate its robustness and accuracy. (c) 2010 Elsevier B.V. All rights reserved.

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Compared with other existing methods, the feature point-based image watermarking schemes can resist to global geometric attacks and local geometric attacks, especially cropping and random bending attacks (RBAs), by binding watermark synchronization with salient image characteristics. However, the watermark detection rate remains low in the current feature point-based watermarking schemes. The main reason is that both of feature point extraction and watermark embedding are more or less related to the pixel position, which is seriously distorted by the interpolation error and the shift problem during geometric attacks. In view of these facts, this paper proposes a geometrically robust image watermarking scheme based on local histogram. Our scheme mainly consists of three components: (1) feature points extraction and local circular regions (LCRs) construction are conducted by using Harris-Laplace detector; (2) a mechanism of grapy theoretical clustering-based feature selection is used to choose a set of non-overlapped LCRs, then geometrically invariant LCRs are completely formed through dominant orientation normalization; and (3) the histogram and mean statistically independent of the pixel position are calculated over the selected LCRs and utilized to embed watermarks. Experimental results demonstrate that the proposed scheme can provide sufficient robustness against geometric attacks as well as common image processing operations. (C) 2010 Elsevier B.V. All rights reserved.

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Active appearance model (AAM) is a powerful generative method for modeling deformable objects. The model decouples the shape and the texture variations of objects, which is followed by an efficient gradient-based model fitting method. Due to the flexible and simple framework, AAM has been widely applied in the fields of computer vision. However, difficulties are met when it is applied to various practical issues, which lead to a lot of prominent improvements to the model. Nevertheless, these difficulties and improvements have not been studied systematically. This motivates us to review the recent advances of AAM. This paper focuses on the improvements in the literature in turns of the problems suffered by AAM in practical applications. Therefore, these algorithms are summarized from three aspects, i.e., efficiency, discrimination, and robustness. Additionally, some applications and implementations of AAM are also enumerated. The main purpose of this paper is to serve as a guide for further research.

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Feature-based image watermarking schemes, which aim to survive various geometric distortions, have attracted great attention in recent years. Existing schemes have shown robustness against rotation, scaling, and translation, but few are resistant to cropping, nonisotropic scaling, random bending attacks (RBAs), and affine transformations. Seo and Yoo present a geometrically invariant image watermarking based on affine covariant regions (ACRs) that provide a certain degree of robustness. To further enhance the robustness, we propose a new image watermarking scheme on the basis of Seo's work, which is insensitive to geometric distortions as well as common image processing operations. Our scheme is mainly composed of three components: 1) feature selection procedure based on graph theoretical clustering algorithm is applied to obtain a set of stable and nonoverlapped ACRs; 2) for each chosen ACR, local normalization, and orientation alignment are performed to generate a geometrically invariant region, which can obviously improve the robustness of the proposed watermarking scheme; and 3) in order to prevent the degradation in image quality caused by the normalization and inverse normalization, indirect inverse normalization is adopted to achieve a good compromise between the imperceptibility and robustness. Experiments are carried out on an image set of 100 images collected from Internet, and the preliminary results demonstrate that the developed method improves the performance over some representative image watermarking approaches in terms of robustness.