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2014 4th IEEE International Conference on Information Science and Technology最新文献

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Application of additional momentum in PID neural network 附加动量在PID神经网络中的应用
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920358
Huailin Shu, Yuan Xu
PID neural network (PIDNN) is a new type of feed-forward neural network which has been found by Huai-lin Shu, in which neural network is integrated with PID control law. The priori knowledge of PID control can be used to choose the initial weights to make sure that PIDNN control systems are initial stable. Without priori knowledge and using the random initial weights, initial stable of the PIDNN system may be uncertain. The paper proposes an improved algorithm which has momentum factor to overcome the local minimum of the PIDNN. The distinct improvement of the PIDNN control system is proved by simulation results.
PID神经网络(PID neural network, PIDNN)是舒怀林提出的将神经网络与PID控制律相结合的一种新型前馈神经网络。利用PID控制的先验知识来选择初始权值,以保证PID神经网络控制系统的初始稳定。在没有先验知识和使用随机初始权值的情况下,PIDNN系统的初始稳定性可能是不确定的。本文提出了一种带有动量因子的改进算法来克服PIDNN的局部最小值问题。仿真结果证明了PIDNN控制系统的显著改进。
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引用次数: 8
A multipath delay estimation model and algorithm in OFDM systems OFDM系统中的多径时延估计模型及算法
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920351
Ya-jun Chen, Jianhua Peng, Kai-zhi Huang, Xiaofang Gong
In wireless location area, the estimation precision of the TOA (the time of arrival) is low because it underutilizes the time-frequency characteristics of the OFDM signal in the OFDM system. To solve this problem, in this paper, a multipath delay estimation model based on frequency domain phase offset (FDP-MDE) is proposed. And then, a grouped joint time delay estimation algorithm (GJ-TDE) is proposed according to features of the LTE system. Simulation results show that the root mean square error (RMSE) of the GJ-TDE algorithm is 5.5034m smaller than that of the synchronization algorithm under the condition that the signal-to-noise ratio (SNR) is 0dB and the sampling interval is 8.
在无线定位领域,由于没有充分利用OFDM系统中OFDM信号的时频特性,导致TOA(到达时间)的估计精度较低。针对这一问题,本文提出了一种基于频域相位偏移(FDP-MDE)的多径时延估计模型。然后,根据LTE系统的特点,提出了一种分组联合时延估计算法(GJ-TDE)。仿真结果表明,在信噪比为0dB、采样间隔为8的情况下,GJ-TDE算法的均方根误差(RMSE)比同步算法小5.5034m。
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引用次数: 4
A novel nuclear station inspection robot 一种新型的核电站巡检机器人
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920568
Qingsong Liu, G. Wang, Yachao Dong, Pengfei Liu, Jianquan Sun, Xinyu Wu, Yangsheng Xu
As a key device in nuclear station, the steam generator is vulnerable to certain kinds of damages, which make it necessary to check the generator annually. However, it is impossible for human to finish the examine because of that the tremendous tubes inside the generator makes its inner space too crowded. In this paper, we introduced a novel designed climbing robot system which is competent to the work. The main part of the robot system is a vehicle which can moves inside the steam generator carrying a PT Arm. Four cameras are installed in the vehicle and PT Arm to send the real time video back for analysis. We built a control panel as the interface for users to control the vehicle and a cabinet as the container of all the processors int the control system. Experiments show that our system works stably inside the steam generator.
作为核电站的关键设备,蒸汽发生器容易受到各种损坏,因此每年对其进行检查是必要的。然而,由于发电机内部巨大的管道使其内部空间过于拥挤,人类不可能完成检查。本文介绍了一种新型的能够胜任攀爬工作的攀爬机器人系统。机器人系统的主体部分是一辆载具,载具携带PT臂在蒸汽发生器内移动。在车辆和PT Arm上安装了四个摄像头,用于将实时视频发回分析。我们建造了一个控制面板作为用户控制车辆的界面,一个橱柜作为控制系统中所有处理器的容器。实验表明,该系统在蒸汽发生器内工作稳定。
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引用次数: 6
Contrast enhancement based on fuzzy clustering 基于模糊聚类的对比度增强
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920586
Yunqi Hu, Shaosheng Dai, Jin-song Liu
The gray level transformation combining with local standard deviation is an effective and efficient way to enhance the contrast of gray images without much calculating burden. Conventional algorithms always calculate pixel's local standard deviation in a rectangular area centered to itself, which fail to take the natural traits of the image's content into consideration. The algorithm we propose uses fuzzy clustering to cluster pixels into different types, hence to extract the feature of the image's content. And modify the pixel combing the standard deviation of the cluster it belongs to with the global one, which enables us to more effectively enhance the image's contrast. Experimental results show that the proposed method can improve image's contrast more significantly than the conventional gray level transformation algorithm.
结合局部标准差的灰度变换是一种有效的增强灰度图像对比度的方法,且计算量小。传统算法总是在以自身为中心的矩形区域内计算像素的局部标准差,没有考虑到图像内容的自然特征。我们提出的算法使用模糊聚类将像素聚类成不同的类型,从而提取图像内容的特征。并结合所属聚类的标准差与全局标准差对像素进行修改,使我们能够更有效地增强图像的对比度。实验结果表明,该方法比传统的灰度变换算法能更显著地提高图像的对比度。
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引用次数: 0
Mechanism design and dynamic simulation of high maneuverable mobile platform for wall-climbing robot 高机动爬壁机器人移动平台机构设计与动力学仿真
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920602
Hong Chen, Fen-fen Tian, G. Cao, Yan Liu, Nan-ning Xie, Tao Lin
A high maneuverable mobile platform for wall climbing robot was developed based on Electromagnetic adsorption principle. The Dual-body mechanism was designed to improve maneuverability performance effectively. The mobile platform included electromagnetic adsorption mechanism and wheeled moving dual-body mechanism. By means of Solidworks three-dimensional model of mobile platform was established, and dynamic Simulations of obstacle negotiation on steel wall were performed. The simulation results indicated that the mobile platform not only can possess steering ability, but also can cross L-form and inverted L-form obstacle. The mechanism design provided high reference value to research wall climbing robot.
基于电磁吸附原理,研制了一种高机动爬壁机器人移动平台。设计了双体机构,有效地提高了机动性能。移动平台包括电磁吸附机构和轮式移动双体机构。利用Solidworks建立了移动平台的三维模型,对移动平台在钢壁上越障进行了动态仿真。仿真结果表明,该移动平台不仅具有转向能力,而且能够通过l型和倒l型障碍物。该机构设计对爬壁机器人的研究具有较高的参考价值。
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引用次数: 0
An integrated sustainable mobility territorial system 一个综合的可持续流动的领土系统
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920406
G. Fabbri, F. M. Frattale Mascioli
The main objective of this paper is to present a Territorial System of Sustainable Mobility developed by the Pole for Sustainable Mobility (POMOS) and its partners, in the framework of a regional R&D project. This project, named "Bonifica 2.0", aims at the touristic exploitation of the Pontine territory, a large naturalistic area in the region of Lazio in Italy, configuring mixed routes (waterways, channels and bicycle/pedestrian paths) out of the road network paths and expanding the concept of land sustainable mobility to waterways and coastal lakes that characterize all the Pontine area. The goal is the restoration of historical, archaeological and natural zones in an innovative way and with the use of new technologies and environmentally sustainable means of transportation. A mobility system integrated with the mainland has been studied and will be implemented. The system will allow to manage the fleet and the infrastructures assuring safe routes and the exploitation of historical / cultural sites. Moreover the system will be used as best practice of an Integrated Territorial System of Sustainable Mobility under development in Europe and to be used as a reference case to be proposed and reproduced to other similar areas in the world. The system and its main components are described in this paper illustrating what has been achieved till now.
本文的主要目标是在区域研发项目的框架内,介绍由可持续移动极点(POMOS)及其合作伙伴开发的可持续移动区域系统。该项目名为“Bonifica 2.0”,旨在对Pontine地区的旅游开发,Pontine地区是意大利拉齐奥地区的一个大型自然区域,在道路网络路径之外配置混合路线(水道,通道和自行车/人行道),并将土地可持续流动的概念扩展到整个Pontine地区的水道和沿海湖泊。目标是以创新的方式,利用新技术和环境上可持续的交通工具,恢复历史、考古和自然区域。与内地结合的流动系统已经研究并将实施。该系统将允许管理车队和基础设施,确保安全路线和利用历史/文化遗址。此外,该系统将被用作欧洲正在发展的可持续流动综合领土系统的最佳做法,并被用作一个参考案例,供世界上其他类似地区提出和复制。本文介绍了该系统及其主要组成部分,说明了目前所取得的成果。
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引用次数: 1
Image haze removal: Status, challenges and prospects 图像去雾霾:现状、挑战与展望
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920524
Di Wu, Qingsong Zhu, Jianjun Wang, Yaoqin Xie, Lei Wang
Image haze removal has become an important researching direction in computer vision because of the development of computer vision system and its increasing demand. Images acquired in bad weather, such as haze and fog, are seriously degraded by the scatting of the atmosphere, which makes the image color gray, reduces the contrast and make the object features difficult to identify. The bad weather not only lead to the variation of the visual effect of the image, but also to the disadvantage of the post processing to the image, as well as the inconvenience of all kinds of instruments which rely on optical imaging, such as satellite remote sensing system, aerial photo system, outdoor monitoring system and object identification system. That's the reason why they need enhancement and restoration for the improvement of the visual effects and convenience of post processing. This paper sums up the status of image haze removal methods. After that, quantitative and qualitative evaluations of these techniques are presented and the challenges of the existing haze removal method are summarized. Finally, we proposed some expectations to the future research in the field of image haze removal.
随着计算机视觉系统的发展及其需求的不断增加,图像去雾已经成为计算机视觉领域的一个重要研究方向。在雾霾、大雾等恶劣天气条件下获取的图像,由于大气的散射,图像质量下降严重,图像颜色呈灰色,对比度降低,物体特征难以识别。恶劣的天气不仅会导致图像视觉效果的变化,而且会给图像的后期处理带来不利,也会给依赖光学成像的各种仪器带来不便,如卫星遥感系统、航拍系统、室外监控系统、目标识别系统等。这就是为什么他们需要增强和恢复,以提高视觉效果和方便后期处理。本文综述了图像去雾方法的现状。然后,对这些技术进行了定量和定性评价,并总结了现有除霾方法面临的挑战。最后,对图像去雾领域的未来研究提出了展望。
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引用次数: 17
Design of a novel passive endoscopic robot for sinus surgery 一种新型被动鼻窦手术内窥镜机器人的设计
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920606
Peng Zhang, Yucheng He, Ying Hu, Xilong Hou, L. Zhu, Jianwei Zhang
In order to overcome the disadvantages of traditional Functional Endoscopic Sinus Surgery (FESS), a novel passive endoscopic robot for sinus surgery is designed in this paper. This paper mainly focuses on the design of the prototype of a novel passive endoscopic robot and the lock methods of the passive joints. The design of the robot is divided into two parts-the position arm and the end-effector with an endoscope. A parallelogram based passive position arm is proposed and detailed analyzed then, and a three spherical joints based end-effector is proposed and detailed analyzed. Hereafter, different lock methods for joints are discussed and evaluated for both passive position arm and end-effector. For passive position arm, a gear-like lock mechanism is proposed and detailed analyzed, and a bladder-spring based lock mechanism is proposed for the end-effector. The mechanical model of bladder-spring based lock mechanism is derived to guide the detailed design of the prototype of the robot.
为了克服传统的功能性鼻窦内窥镜手术(FESS)的缺点,设计了一种新型的被动鼻窦内窥镜手术机器人。本文主要研究了一种新型被动式内窥镜机器人的原型设计和被动式关节的锁定方法。机器人的设计分为定位臂和带内窥镜的末端执行器两部分。提出并详细分析了一种基于平行四边形的被动位置臂,提出并详细分析了一种基于三球面关节的末端执行器。然后,对被动位置臂和末端执行器的不同关节锁紧方法进行了讨论和评价。针对被动位置臂,提出了一种齿轮式锁紧机构并进行了详细分析,提出了一种基于气囊弹簧的末端执行器锁紧机构。推导了气囊弹簧锁紧机构的力学模型,指导了机器人样机的详细设计。
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引用次数: 2
Analysis & fault diagnosis of cockpit voice signals based on information fusion 基于信息融合的座舱语音信号分析与故障诊断
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920342
Dao-Lai Cheng, Shoupeng Wan, Linzhang Ji
Aircraft cockpit voice signals recorded by aircraft black boxes are one of the key evidences to analyze and diagnose the flight faults. Firstly, the paper describes information fusion principle, and constructs three-level information fusion model. Then, many typical cockpit voice signals as examples (such as wind shear, ground proximity warning, take off form warning, fire alarm, background sound of stick shaker, over speed warning, background ground of high speed with translation, and so on), their characteristic warehouse have been set up. Thirdly, the new analysis and diagnosis methods for cockpit voice signals has been put forward according to production rule and information fusion principle. Finally, binary system diagnostic trees on cockpit voice signals are formed and some analysis and diagnosis results are obtained.
飞机黑匣子记录的驾驶舱语音信号是分析和诊断飞行故障的关键证据之一。首先,阐述了信息融合原理,构建了三级信息融合模型。然后,以许多典型的座舱语音信号为例(如风切变、近地警告、起飞形式警告、火灾警报、摇棒机背景声、超速警告、高速带翻译背景声等),建立了其特征库。第三,根据产生规律和信息融合原理,提出了新的座舱语音信号分析诊断方法。最后,建立了座舱语音信号的二系统诊断树,获得了一定的分析诊断结果。
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引用次数: 1
The design of cybercrime spatial analysis system 网络犯罪空间分析系统设计
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920348
Wenqun Xiu, Xiaoming Li
Artificial monitoring is no longer able to match the rapid growth of cybercrime, it is in great need to develop a new spatial analysis technology which allows emergency events to get rapidly and accurately locked in real environment, furthermore, to establish correlative analysis model for cybercrime prevention strategy. On the other hand, Geography information system has been changed virtually in data structure, coordinate system and analysis model due to the “uncertainty and hyper-dimension” characteristics of network object and behavior. In this paper, the spatial rules of typical cybercrime are explored on base of GIS with Internet searching and IP tracking technology: (1) Setup spatial database through IP searching based on criminal evidence. (2)Extend GIS data-structure and spatial models, add network dimension and virtual attribution to realize dynamic connection between cyber and real space. (3)Design cybercrime monitoring and prevention system to discover the cyberspace logics based on spatial analysis.
人工监控已不能适应网络犯罪的快速增长,迫切需要开发一种新的空间分析技术,使突发事件能够快速、准确地锁定在真实环境中,并为网络犯罪预防策略建立相关的分析模型。另一方面,由于网络对象和行为的“不确定性和超维性”特征,地理信息系统在数据结构、坐标系统和分析模型等方面发生了无形中的变化。本文以GIS为基础,结合互联网搜索和IP追踪技术,探讨了典型网络犯罪的空间规律:(1)基于犯罪证据,通过IP搜索建立空间数据库。(2)扩展GIS数据结构和空间模型,增加网络维度和虚拟属性,实现网络空间与现实空间的动态连接。(3)设计网络犯罪监控与预防系统,通过空间分析发现网络空间逻辑。
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引用次数: 3
期刊
2014 4th IEEE International Conference on Information Science and Technology
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