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2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics最新文献

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The Statistical Analysis for Heavy Metal Pollution in Urban Topsoil 城市表层土壤重金属污染的统计分析
Haiyan Xuan, Haiming Bao, Nana Yang, Jinshu Chen
This paper focus on the pollution of urban topsoil. We sample from different functional areas of the urban, select 329 samples for the study, analyze the spatial distribution of the heavy metal elements As, Cd, Cr, Cu, Hg, Ni, Pb, Zn and the degree of pollution in different areas of the urban and judge the source of the heavy metal pollution of the urban by using principal component analysis.
本文主要研究城市表土的污染问题。选取城市不同功能区样本,选取329个样本进行研究,分析城市不同区域重金属元素As、Cd、Cr、Cu、Hg、Ni、Pb、Zn的空间分布及污染程度,运用主成分分析法判断城市重金属污染源。
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引用次数: 0
Fuzzy Synthetic Assessment of Air Traffic Controllers Situational Awareness Based on Short-term Memory Measurement 基于短时记忆测量的空中交通管制员态势感知模糊综合评价
Yongxin Liu, Jian Zhang, Wanle Wang, D. Zhao
This paper presents an approach for evaluating air traffic controllers situational awareness (SA). In the approach, the relationship between situational awareness and short-term memory is analyzed, based on which, the factors for fuzzy synthetic assessment of controllers situational awareness are determined. And then, weighting coefficient is given for each factor by applying Analytic Hierarchy Process (AHP), and membership function for each factor is obtained in accordance with air traffic control rules and expertise, upon that the fuzzy assessment model is built. At last, an example is presented to demonstrate the proposed approach is useful and effective in selection, training and work load evaluation for air traffic controllers.
提出了一种评估空中交通管制员态势感知(SA)的方法。该方法分析了态势感知与短时记忆的关系,在此基础上确定了控制员态势感知模糊综合评价的影响因素。然后运用层次分析法(AHP)对各影响因素进行加权,并根据空中交通管制规则和专业知识得到各影响因素的隶属度函数,在此基础上建立模糊评价模型。最后,通过实例验证了该方法在空中交通管制员选拔、培训和工作量评估方面的实用性和有效性。
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引用次数: 4
A Collision Avoidance Method Based on Satisfying Game Theory 基于满足博弈论的避碰方法
Jiang Xiaohui, Z. Xuejun, Guan Xiangmin
Flight safety at both high and low altitude airspace become more and more important in the recent years. In this paper, considering the free flight characteristic of aircrafts in airspace, a decentralized approach based on satisficing game theory is proposed. This method can eliminate conflicts among aircrafts effectively, and it can also solve collisions with obstacles which mainly include the special use airspace (SUA), severe weather regions in high altitude airspace, and obstacles in low altitude airspace. The simulations show good performance in a complex scenario, which includes a large number of aircrafts flying through a airspace with obstacles at the same time.
近年来,高低空空域的飞行安全越来越受到人们的重视。针对空域中飞行器的自由飞行特性,提出了一种基于满足博弈论的分散控制方法。该方法可以有效地消除飞机之间的碰撞,也可以解决与障碍物的碰撞问题,主要包括特殊用途空域(SUA)、高空恶劣天气区域和低空障碍物。仿真结果表明,在多架飞机同时通过有障碍物空域的复杂情况下,该系统具有良好的性能。
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引用次数: 7
Object Tracking Algorithm Based on Combination of Dynamic Template Matching and Kalman Filter 基于动态模板匹配和卡尔曼滤波相结合的目标跟踪算法
Bin Zheng, Xiangyang Xu, Y. Dai, Yuanyuan Lu
The moving object detection is a prerequisite and difficult point to realize tracking in the video tracking system. In order to detect moving object effectively, an object tracking algorithm is proposed based on combination of dynamic template matching and Kalman filter. First, get the area of the moving object by using inter-frame difference method and extract the SIFT feature points. Then, find the location of the candidate object that is most matched with the object template in the search area by Kalman filter and match it with the object template in the current frame. Finally, the feature points' loss rate will serve as the limited threshold, and we update template according to dynamic template updating strategy. By the number of the frames of the target's matching failures we determine whether the moving target is disappeared. Several experiments of the object tracking show that the approach is accurate and fast, and it has a better robust performance during the attitude changing, the size changing and the shelter instance.
在视频跟踪系统中,运动目标检测是实现跟踪的前提和难点。为了有效地检测运动目标,提出了一种基于动态模板匹配和卡尔曼滤波相结合的目标跟踪算法。首先,利用帧间差分法获取运动目标的面积,提取SIFT特征点;然后,通过卡尔曼滤波在搜索区域中找到与目标模板最匹配的候选对象位置,并与当前帧中的目标模板进行匹配。最后以特征点的损失率作为限定阈值,根据动态模板更新策略对模板进行更新。根据目标匹配失败的帧数来判断运动目标是否消失。多个目标跟踪实验表明,该方法准确、快速,在姿态变化、尺寸变化和遮挡情况下具有较好的鲁棒性。
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引用次数: 8
Magneto Hydrodynamics Real-time Detection on HT-7 Tokamak Device Based on RBP Neural Network 基于RBP神经网络的HT-7托卡马克装置磁流体动力学实时检测
S. Shu, Jiarong Luo, Bin Wang
The instability of Magneto Hydrodynamics (MHD) in tokamak plasma is a main factor in deciding high performance operation of the device. The occurrence of MHD instability will lead to deterioration of plasma confinement and even split of plasma discharge in severe instance, which can poke potential risk of damage to the device and its work staff. This paper presents a HT-7 MHD real-time detection system based on Radial Basis Probabilistic Neural Networks (RBPNN). The article firstly expands on measurement of MHD in HT-7 and corresponding character analysis of it. According to the signal frequency of MHD, RBFNN training samples can be constructed via mass data acquired through repeated discharges and thus completes the task of sample training. During the discharge, high speed data acquisition board DAQ2010 with double buffer is used to finish the job of real-time data acquisition while the trained RBPNN works spontaneously to process MHD signal. Repeated Tokamak discharges proved the effectiveness of the method described above.
托卡马克等离子体磁流体动力学的不稳定性是决定托卡马克装置能否高效运行的一个重要因素。MHD不稳定的发生会导致等离子体约束恶化,严重时甚至会导致等离子体放电分裂,这可能会对设备及其工作人员造成潜在的损害。提出了一种基于径向基概率神经网络(RBPNN)的ht - 7mhd实时检测系统。本文首先阐述了HT-7中MHD的测量及相应的特性分析。根据MHD的信号频率,通过反复放电获取大量数据,构建RBFNN训练样本,从而完成样本训练任务。放电时,采用双缓冲高速数据采集板DAQ2010完成实时数据采集,训练后的RBPNN自动处理MHD信号。反复的托卡马克放电实验证明了上述方法的有效性。
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引用次数: 1
The Construction of Visualness Attributes Network Based on Conceptual Graphs 基于概念图的可视化属性网络构建
Jing Yang, Lei Zhang, Jun Feng, Hengwei Liu
This paper proposed a new method for extracting visualness attributes (the extent to which an attribute can be perceived visually) that based on conceptual graphs (CGs). By providing a small scale seed attributes, this method acquire the context which contain these seed attributes by two steps, primary entity matching and sentence selection, then transform the selected sentences into CG templates, after systematic expansion of its semantic information on the basis of HowNet lexicon, extract the attribute concepts by computing the similarity between CG templates and textual CGs, then compute the visualness of these attribute concepts and retain the attributes with the visualness value greater than the threshold. At last, we construct the relationship among the attributes by bringing in world knowledge. Experiments have demonstrated the effectiveness of our conceptual graph based method when compared with the state of art ones.
本文提出了一种基于概念图(CGs)的视觉性属性(属性在视觉上可感知的程度)提取方法。该方法通过提供小规模的种子属性,通过主实体匹配和句子选择两步获取包含这些种子属性的上下文,然后将选择的句子转换为CG模板,在HowNet词典的基础上对其语义信息进行系统扩展,通过计算CG模板与文本CG的相似度提取属性概念。然后计算这些属性概念的可见度,并保留可见度值大于阈值的属性。最后,通过引入世界知识来构建属性之间的关系。实验证明了基于概念图的方法与现有方法的有效性。
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引用次数: 0
Extraction of Conceptual Relation Based on HowNet and Concept Graph 基于HowNet和概念图的概念关系提取
Hengwei Liu, Lei Zhang, Jing Yang
In view of the low efficiency of depending on one extracting method, this paper proposes a blending extracting method based on the combination of statistics, regulations and managing nature language. By employing template construction to extract conceptual relations, this method adopts transfer learning to obtain concept pairs and by using the advantages of concept graph in knowledge representation, matches templates through conjoining the Hownet in order to gain template set and extract conceptual relations. The experimental results show that this method can raise the accuracy rate in relation extraction.
针对单一提取方法效率较低的问题,提出了一种基于统计、规则和管理自然语言相结合的混合提取方法。该方法通过模板构建提取概念关系,采用迁移学习获取概念对,利用概念图在知识表示方面的优势,通过连接Hownet匹配模板,获得模板集,提取概念关系。实验结果表明,该方法可以提高关系提取的正确率。
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引用次数: 0
Constrained Optimization Based on Epsilon Constrained Biogeography-Based Optimization 基于Epsilon约束生物地理学优化的约束优化
Xiaojun Bi, Jue Wang
A new epsilon constrained biogeography-based optimization is proposed to solve constrained optimization problems. In the proposed algorithm, the epsilon constrained method is utilized to handle the constraints. Simultaneously, based on the feature of epsilon constrained method, a new ordering rule based on epsilon constrained is used to obtain the immigration rate and emigration rate. Additionally, a new dynamic migration strategy is shown to enhance the search ability of migration mechanism. Eventually, with the purpose of improving the precision of convergence, the piecewise logistic chaotic map is introduced to improve the variation mechanism. Numerical experiments on 13 well-known benchmark test function have shown that the proposed algorithm is competitive with other optimization algorithms. Furthermore, the proposed algorithm can avoid effectively the convergence before the optimal results have been found, and balance the exploitation and the exploration.
针对约束优化问题,提出了一种新的基于epsilon约束生物地理学的优化方法。该算法采用epsilon约束方法对约束条件进行处理。同时,根据epsilon约束方法的特点,提出了一种新的基于epsilon约束的排序规则,得到了迁移速率和迁移速率。此外,提出了一种新的动态迁移策略,提高了迁移机制的搜索能力。最后,为了提高收敛精度,引入了分段逻辑混沌映射来改进变异机制。在13个知名的基准测试函数上进行的数值实验表明,该算法与其他优化算法具有较强的竞争力。此外,该算法还能有效避免未找到最优结果前的收敛问题,平衡了挖掘与探索的关系。
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引用次数: 8
Non-Photorealistic Rendering for Streamline Stylization Using Sequential Filters 非真实感渲染流线风格化使用顺序过滤器
Xiaoguang Chen, Jiang Liu, Ran Wu
Non-photorealistic rendering (NPR) such as stylization has received much concern in area of computer graphics and image processing. In this paper, a simple and effective method is proposed for streamline stylization. Through a kind of sequential filters, the method performs a series of operations, including detail removal, region smoothing, structure enhancement, and edge sharpen, to transform common pictures into Impressionist oil-painting like images with streamline style. Experimental results on a gallery of images demonstrate that our method can render images in good NPR style impressively and provide encouraging visual effects.
非真实感渲染(Non-photorealistic rendering, NPR)在计算机图形学和图像处理领域受到了广泛关注。本文提出了一种简单有效的流线程式化方法。该方法通过一种顺序滤波器,进行细节去除、区域平滑、结构增强、边缘锐化等一系列操作,将普通图像转化为流线风格的印象派油画式图像。在一个图库上的实验结果表明,我们的方法可以呈现出令人印象深刻的良好NPR风格的图像,并提供令人鼓舞的视觉效果。
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引用次数: 2
Adaptive Pinning Synchronization in Complex Dynamical Networks with a Novel Adaptive Law 基于新自适应律的复杂动态网络自适应钉住同步
Yi Liang, Xing-yuan Wang
In this paper, we propose one adaptive pinning synchronization scheme in complex dynamical networks, whose adaptive law is simple in form. When a nonlinear vector field meets different conditions, we prove that the scheme is synchronous and that the synchronous solution is locally and globally asymptotically stabile. We analyze the process of using maximum eigenvalues of low matrix to judge pinning synchronization, and give one method to calculate the number of pinning nodes. At last, three numerical simulations are given to verify the effectiveness of the proposed scheme. The first two examples show relations between maximum eigenvalues of the principal submatriecs and the number of pinning nodes under the conditions of three pinning strategies in a scale-free network and under the conditions of the random pinning strategy in a nearest-neighbor network, respectively, and the last one shows effectiveness of the adaptive pinning synchronization by selecting pinning nodes randomly in a scale-free network.
本文提出了一种复杂动态网络中的自适应固定同步方案,该方案的自适应律形式简单。当非线性向量场满足不同条件时,我们证明了该方案是同步的,并且同步解是局部和全局渐近稳定的。分析了利用低矩阵的最大特征值判断钉钉同步的过程,给出了一种计算钉钉节点数的方法。最后,通过三个数值仿真验证了所提方案的有效性。前两个例子分别展示了无标度网络中三种钉钉策略和最近邻网络中随机钉钉策略下主子质点的最大特征值与钉钉节点数之间的关系,最后一个例子展示了在无标度网络中随机选择钉钉节点的自适应钉钉同步的有效性。
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2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics
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