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2015 2nd International Conference on Information Science and Control Engineering最新文献

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Building a 3D Visualization System for the Geological Survey 地质调查三维可视化系统的构建
Xiangyu Yu, Yixian Xu
Computer modelling and visualization of the geological data is currently a topical research area. Due to the diverse types and forms of the geological data, it's usually difficult to form unified rules for 3D modelling. In this paper, the author describes a 3D visualization system which built for visualization modelling with the data obtained in the geological survey. In addition, the author focuses on his ideas about how to implement the 3D modelling and visual interpretation of the multi-source detection data.
地质数据的计算机建模与可视化是当前研究的热点。由于地质数据的类型和形式多样,通常很难形成统一的三维建模规则。本文介绍了一种利用地质调查数据建立可视化建模的三维可视化系统。此外,作者还重点阐述了如何实现多源检测数据的三维建模和可视化解释。
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引用次数: 2
An Active Real-Time System for Oil Spill Detection and Information Distribution 一种主动实时溢油检测与信息分发系统
Zhinong Zhong, Ning Jing, Y. Gao, M. N. Jha, A. Kassab, H. Assilzadeh
That oil spills are quickly reliably detected and the oil spill information is distributed to related users or emergency responders in real-time is very important in oil spill response and contingency planning. Laser Fluorosensors, such as the Scanning Laser Environmental Airborne Fluorosensor (SLEAF) sensor operated by Environment Canada, are among the most appropriate sensors for oil spill surveillance. In this paper, a reliable classification scheme is proposed for oil spill detection based on SLEAF data. Event-driven architecture can automatically notify and push information to related users, so it is suitable for developing active real-time information distribution system, such as emergency response system. Since oil spill information is spatially related information, a geospatial-based publish/subscribe model, which extends the function of general publish/subscribe model in event-driven system and can process geospatial subscriptions and events, is proposed. At last, based on the oil spill detection methods, even-driven architecture and geospatial-based publish/subscribe model, an active real-time system for oil spill detection and information distribution has been implemented.
在溢油响应和应急计划中,快速、可靠地发现溢油并将溢油信息实时分发给相关用户或应急响应人员是非常重要的。激光氟传感器,如加拿大环境部操作的扫描激光环境机载氟传感器(SLEAF),是最适合监测溢油的传感器之一。本文提出了一种基于SLEAF数据的溢油检测可靠分类方案。事件驱动架构可以自动通知和推送信息给相关用户,因此适合开发主动实时信息分发系统,如应急响应系统。针对溢油信息是空间相关的信息,提出了一种基于地理空间的发布/订阅模型,该模型扩展了事件驱动系统中一般发布/订阅模型的功能,能够处理地理空间的订阅和事件。最后,基于溢油检测方法、均匀驱动架构和基于地理空间的发布/订阅模型,实现了一个主动的溢油检测和信息发布实时系统。
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引用次数: 3
Use of 3D Visualisation Tools for Representing Urban Greenspace Spatial Planning 使用3D可视化工具表示城市绿地空间规划
Chen Wang, David Miller, Yang Jiang, Gillian Donaldson-Selby
The objective of this paper is to report on the development of prototype models for use in raising public awareness of changes in urban areas, focusing on green spaces, and testing responses to scenarios of change. Specifically, the focus is on the design of appropriate types of outdoor features for community planning and engagement. This modelling is fulfilled using the Autodesk Maya, Google SketchUp and ArcGIS software packages together in a novel combination of spatial and visualisation tools. The experiment results show evidence that different types of 3D iconic symbols with interactive communication will influence participation and decision making in land use planning.
本文的目的是报告原型模型的发展,用于提高公众对城市地区变化的认识,重点关注绿色空间,并测试对变化情景的反应。具体来说,重点是为社区规划和参与设计适当类型的户外特征。该建模是使用Autodesk Maya, Google SketchUp和ArcGIS软件包在空间和可视化工具的新颖组合中完成的。实验结果表明,不同类型的具有交互传播的三维标志符号会影响土地利用规划的参与和决策。
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引用次数: 4
Research on Feedforward Parameter Optimization of Linear Servo System Based on Iterative Learning of Orthogonal Projection 基于正交投影迭代学习的线性伺服系统前馈参数优化研究
Yang Liangliang, Shi Weimin, Peng Laihu
The method of orthogonal projection is introduced according to the problem of feed forward parameter optimization in linear servo system with high frequency response. At first, orthogonalized basis functions are constructed and the control system is projected onto the axes of the basis functions. Then system parameters are identified along the axes of basis functions by iterative learning and high speed response are compensated by feed forward. The method extends the iterative learning from time domain to the space of orthogonalized basis functions. The simulations and experiments show this method can significantly improve the tracking and high-response performance of linear servo system and meet the high speed and high precision requirements.
针对高频响应线性伺服系统的前馈参数优化问题,提出了正交投影法。首先构造正交基函数,并将控制系统投影到基函数的轴上。然后采用迭代学习的方法沿基函数轴辨识系统参数,并采用前馈补偿高速响应。该方法将迭代学习从时域扩展到正交基函数空间。仿真和实验表明,该方法能显著提高线性伺服系统的跟踪性能和高响应性能,满足高速、高精度的要求。
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引用次数: 0
Towards Development of Reliable Mobile Robot Navigation System 面向可靠移动机器人导航系统的研究
Denis Shepelev, Andrey Ustyuzhanin
This paper presents a combined control system for mobile robot. The developed system allows to teleoperate a mobile robot and switches to autonomous movement when the connection with the mobile robot is lost. To create this control system the comparative analysis of existing sensors was performed, based on this analysis the sensors for localization robot were chosen, the virtual model of the 4-wheeled mobile robot and a controller were developed. Then based on ROS(Robot Operating System) the combined control system was created.
提出了一种移动机器人组合控制系统。所开发的系统允许远程操作移动机器人,并在与移动机器人失去连接时切换到自主运动。为构建该控制系统,对现有传感器进行了对比分析,在此基础上选择了定位机器人的传感器,建立了四轮移动机器人的虚拟模型和控制器。然后基于ROS(Robot Operating System,机器人操作系统)建立了组合控制系统。
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引用次数: 2
A Novel Particle Swarm Optimization Algorithm with Intelligent Weighting Mechanism 一种具有智能加权机制的粒子群优化算法
Cong Hao, Youqing Wang, Jianyong Tuo
This paper presents a novel particle swarm optimization algorithm with an intelligent weighting mechanism, which is termed as weighted particle swarm optimization (WPSO) for short. The intelligent weighting mechanism is developed based on an effectiveness index to improve performance on a diverse set of problems and enhance the ability of local search infeasible region. Three search techniques, a non-uniform mutation operator, a differential mutation operator, and a local random search procedure are used to mutate the global best position and combined to get a further improved solution by using the weighted average. The performance of WPSO is tested on a set of well-known optimization benchmark functions and the optimization results are compared with four reported optimization methods in terms of solution quality and convergence speed. The experimental results demonstrate superior performance of the WPSO in solving optimization problems compared with other optimization methods.
提出了一种基于智能加权机制的粒子群优化算法,简称加权粒子群优化算法。提出了基于有效性指标的智能加权机制,提高了算法在多种问题下的性能,增强了局部搜索不可行区域的能力。采用非均匀变异算子、微分变异算子和局部随机搜索方法对全局最优位置进行变异,并结合使用加权平均得到进一步的改进解。在一组知名的优化基准函数上测试了WPSO的性能,并将优化结果与已有的四种优化方法在解质量和收敛速度方面进行了比较。实验结果表明,与其他优化方法相比,WPSO在解决优化问题方面具有优越的性能。
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引用次数: 2
An Image Segmentation Method by Combining Fuzzy C-Means Clustering and Graph Cuts Optimization for Multiphase Level Set Algorithms 基于模糊c均值聚类和图切优化的多相水平集图像分割方法
Lin Song, M. Gao, Sa Wang, Shuxia Wang
Multiphase level set model is sensitive to initial contour curve and has huge computation in the process of the multiple objects' segmentation. This paper presents a novel Image segmentation method for multiphase scenario, which initialize the multiphase level set function by coarse image segmentation using fuzzy C-means clustering algorithm and apply graph cut algorithm to acquire multiphase output image. The method effectively reduces the sensitivity of the multiphase level set algorithm to initial contour and is easier to gain the multiphase output image by graph cut algorithm. At the same time, because of using the graph cut algorithm, the multiphase level set function quickly converge to the minimum energy value with small amount of calculation and high computational efficiency. The experiments show that this method has better segmentation effect and higher efficiency of image segmentation.
多相水平集模型对初始轮廓曲线敏感,在多目标分割过程中计算量大。提出了一种新的多相场景图像分割方法,利用模糊c均值聚类算法对图像进行粗分割,初始化多相水平集函数,并应用图切算法获取多相输出图像。该方法有效地降低了多相水平集算法对初始轮廓的敏感性,更容易通过图切算法获得多相输出图像。同时,由于采用了图割算法,多相水平集函数快速收敛到最小能量值,计算量小,计算效率高。实验表明,该方法具有较好的分割效果和较高的分割效率。
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引用次数: 1
An Improved Genetic Algorithm for Flexible Job Shop Scheduling Problem 柔性作业车间调度问题的改进遗传算法
Jiang Liangxiao, Dun Zhongjun
Based on the analysis of the characteristics of Flexible Job-shop Scheduling Problem (FJSP), an improved genetic algorithm is proposed to minimize the make span. The algorithm adopts a new initialization method to improve the quality of the initial population and to accelerate the speed of the algorithm's convergence. Considering the characteristic of the problem, reasonable chromosome encoding, crossover and mutation operator are given, and then the effectiveness of the improved algorithm is proved by testing.
在分析柔性作业车间调度问题(FJSP)特点的基础上,提出了一种改进的最小化制造跨度的遗传算法。该算法采用了新的初始化方法,提高了初始种群的质量,加快了算法的收敛速度。针对该问题的特点,给出了合理的染色体编码、交叉和变异算子,并通过测试证明了改进算法的有效性。
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引用次数: 34
Application of Conditioned Level-Set Method to OH-PLIF Image Processing of Typical Molecule Diffusion Flames 条件水平集法在典型分子扩散火焰OH-PLIF图像处理中的应用
Yue Han, Nanjia Yu, J. Dai, Guobiao Cai
A novel approach for OH-PLIF image processing, namely conditioned level-set (CLS) method, is presented in this paper. The complete CLS method consists of raw image pre-processing, adaptive intensity shareholding for linearization, initial contour extraction, region-lock optimization and level set iteration. The successful application of this method to typical molecule diffusion flames demonstrates its robustness to noise sensitivity and flame topology, and its outperformance over traditional edge detectors in terms of flame contour identification. The CLS method provides possibility to further image analysis such as mean reaction zone tracking. Based on the results from RANS simulation with adequate modelling, a novel numerical-aided approach for concentration calibration is also proposed. The CLS method can readily be employed to experimental images obtained from other planar scalar measurements. The proposed method has potential to be integrated to image processing modules of scientific software.
本文提出了一种用于OH-PLIF图像处理的新方法,即条件水平集(CLS)方法。完整的CLS方法包括原始图像预处理、线性化自适应强度分配、初始轮廓提取、区域锁定优化和水平集迭代。对典型分子扩散火焰的成功应用表明,该方法对噪声敏感性和火焰拓扑结构具有鲁棒性,在火焰轮廓识别方面优于传统的边缘检测器。CLS方法为进一步的图像分析提供了可能,如平均反应区跟踪。在充分建模的RANS模拟结果的基础上,提出了一种新的数值辅助浓度校准方法。CLS方法可以很容易地应用于其他平面标量测量得到的实验图像。该方法具有集成到科学软件图像处理模块中的潜力。
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引用次数: 1
Design of a Novel Ultra Wide Band Balance Microstrip Balun 一种新型超宽带平衡微带平衡器的设计
Zhongpu Li, Jinxian Liu
A novel ultra wide micro strip balun based on the conventional balun (the micro strip-double parallel line) is proposed in this paper. The new design has been simulated and validated by measurement. Measured results of about -4.5dB insert loss and 180o phase gap have been achieved across the bandwidth from 3GHz to 50 GHz, the size is about 10mm *7mm.
本文提出了一种基于传统平衡装置(微带双平行线)的超宽微带平衡装置。新设计已通过仿真和测量验证。在3GHz至50ghz的带宽范围内,测量结果显示插入损耗约为-4.5dB,相隙约为180°,尺寸约为10mm *7mm。
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引用次数: 4
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2015 2nd International Conference on Information Science and Control Engineering
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