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International Conference on Information Acquisition, 2004. Proceedings.最新文献

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Research on non-linearity rectification of sensor systems 传感器系统非线性整流研究
Pub Date : 2004-06-25 DOI: 10.1109/ICIA.2004.1373345
Junjie Chen, Weiyi Huang
Genetic neural network model of solving the problems on nonlinearity rectification of sensor systems, was put forward, for the shortcoming of least square and other conventional methods. Computer simulations are given to demonstrate that approximation accuracy of the model is far higher than least square method that are extensively applied conventionally and the model possesses stronger robustness through adopting the standpoints and methods in this paper. And the research indicates that the model can be also used to realize nonlinearity rectification in other similar systems
针对最小二乘法和其他传统方法的不足,提出了求解传感器系统非线性校正问题的遗传神经网络模型。计算机仿真结果表明,采用本文提出的观点和方法,模型的逼近精度远高于传统广泛应用的最小二乘法,模型具有更强的鲁棒性。研究表明,该模型也可用于其他类似系统的非线性校正
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引用次数: 0
A histogram sensor fusion method for mobile robots 移动机器人的直方图传感器融合方法
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373384
Qinmin Yang, Kui Yuan, Jiangfeng Li, Hui Wang
We describe a new method for a mobile robot equipped with ultrasonic sensors to construct and maintain a map of the environment for the purpose of obstacle avoidance and navigation. A new sonar model is given, which is a simplified Gaussian model for the sake of computing time. Furthermore, incidence angle information of sonar is combined with the range measurement to construct a two-dimensional histogram grid. The histogram grid shows a quick and accurate mapping. At the same time, with the incidence angle information, the method exhibits a good performance in solving the problem of door-finding and reducing phantom targets. Finally, the map-building system is experimentally evaluated in the real environment.
我们描述了一种新的方法,移动机器人配备超声传感器来构建和维护环境地图,以避免障碍和导航。为了节省计算时间,提出了一种新的声纳模型,该模型是一种简化的高斯模型。进一步,将声纳入射角信息与距离测量相结合,构建二维直方图网格。直方图网格显示了快速准确的映射。同时,利用入射角信息,该方法在解决寻门问题和减少幻像目标方面表现出良好的性能。最后,在实际环境中对该地图生成系统进行了实验评估。
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引用次数: 7
Fault diagnosis of pump-jack based on neural network 基于神经网络的抽油机故障诊断
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373347
W. Ren, Zhenggang Zhang, Y. Zhao, Zhenghui Zhang
Since the present backwardness of pump-jack fault diagnosis method and the waste of time and labor, we adopt wavelet network to transform the working current of pump-jacks and get the detail coefficient and then make it fault characteristics. To adjust the parameters of neural network, we adopt the self-tuning learning rate conjugated gradient method to optimize the object function. The application on thirty five pump-jacks indicates that this method can be used on the fault diagnosis of pump-jacks with the accuracy over ninety five percent.
针对目前抽油机故障诊断方法的落后和费时费力的问题,采用小波网络对抽油机工作电流进行变换,得到细节系数,进而得到故障特征。为了调整神经网络的参数,我们采用自调整学习率共轭梯度法对目标函数进行优化。在35台抽油机上的应用表明,该方法可用于抽油机的故障诊断,准确率达95%以上。
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引用次数: 1
Rapid detection of hazardous gas using one SnO/sub 2/ gas sensor based on dynamic measurement 基于动态测量的SnO/ sub2 /气体传感器有害气体快速检测
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373429
Jinhuai Liu, Fanli Meng, Xingjiu Huang, Weihong Xu, Jiarui Huang
A new approach for rapid detection of hazardous gas using a single SnO/sub 2/ gas sensor based on dynamic measurement was investigated. Experimental results showed that hazardous gas such as LPG had obvious properties by using dynamic measurement. The qualitative analysis was also studied by means of fast Fourier transform(FFT), and power spectrum showed that different properties appeared on different concentrations of LPG.
研究了一种基于动态测量的单SnO/sub - 2/气体传感器快速检测有害气体的新方法。实验结果表明,采用动态测量方法对液化石油气等有害气体具有明显的特性。采用快速傅里叶变换(FFT)对其进行定性分析,功率谱分析表明,不同浓度的LPG具有不同的性质。
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引用次数: 4
Application and research on cryptography of guard against theft 密码学在防盗中的应用与研究
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373421
Yan-Sheng Yao
This paper introduces the history, classes and characters of cryptography and indicates the necessity of guard against code theft. In order to protect just identity and secret information, a new kind of cryptography and its application and advantages has been given and analyzed. To develop a better character of guard against theft, the operator must rightly use fixed first code with validation code which is decided by algorithm of each time to pass identity verification. The paper illuminates the theory of software control, puts forward a novel secure cryptography that has not been found before.
本文介绍了密码学的历史、分类和特点,指出了防范密码盗窃的必要性。为了正确地保护身份和保密信息,给出并分析了一种新的加密方法及其应用和优点。为了发挥更好的防盗性,运营商必须正确使用每次算法确定的固定首码和验证码来通过身份验证。本文阐述了软件控制理论,提出了一种前所未有的安全加密方法。
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引用次数: 1
Artificial neural networks inversion based dynamic compensator of sensors 基于人工神经网络反演的传感器动态补偿器
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373364
X. Dai, M. Yin, Qin Wang, Wancheng Wang
A novel dynamic compensator of sensors based on ANN (artificial neural networks) inversion is proposed according to the theory of inverse methods and excellent approach abilities of ANN. ANN inversion-based dynamic compensator of sensor is achieved through offline training the ANN inversion that combines the static ANN and dynamic factors. The dynamic performance of sensor is improved effectively by cascading ANN inversion with the original sensor. Simulation and experiment results indicate that the dynamic performance of sensor is remarkably improved and enhanced using the proposed compensator.
根据逆方法理论和人工神经网络的优良逼近能力,提出了一种基于人工神经网络逆的传感器动态补偿器。基于人工神经网络反演的传感器动态补偿器是通过离线训练将静态人工神经网络与动态因素相结合的人工神经网络反演实现的。通过与原传感器级联的人工神经网络反演,有效地提高了传感器的动态性能。仿真和实验结果表明,该补偿器显著改善和增强了传感器的动态性能。
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引用次数: 10
A novel MC algorithm and its application 一种新的MC算法及其应用
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373420
Jianguo Zheng, Mingquan Zhou, Zengping Chen
Based on bidirectional lamp tracking and utilizing performances of Monte Carlo method, A novel algorithm is proposed here which makes it easy for an user to simulate the bright region of lamp-source on the testing screen. Comparing with the forward lamp integral method, this model is not only applicable to reflectors of any figure but also far more rapid than using forward working. Simulations show that this algorithm is not only effective but also feasible.
基于灯的双向跟踪,利用蒙特卡罗方法的性能,提出了一种新的算法,使用户可以很容易地在测试屏幕上模拟出光源的明亮区域。与前向灯积分法相比,该模型不仅适用于任何图形的反射器,而且比前向工作快得多。仿真结果表明,该算法不仅有效而且可行。
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引用次数: 0
A new structure for measuring the thermal conductivity of thin film 一种测量薄膜热导率的新结构
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373323
Qing-shan Song, S. Xia, Shaofeng Chen, Zheng Cui
A new microdevice for measuring the thermal conductivity of thin film is presented. It is based on the static-state method, which is widely used and a simple technique for measuring the lateral thermal conductivity of thin film. The device is fabricated using micromachining process, which is 800/spl times/2000/spl mu/m bridge membrane with 30/spl times/100/spl mu/m beams. The heater and thermometer across the bridge membrane through the beams are used to create heat flux and to measure the temperature. On the membrane, heat flux is very uniform and the temperature is evenly distributed, which has been verified by simulation, making the system error smaller than conventional rectangular structure. Silicon nitride thin films with thickness from 0.5/spl mu/m to 2/spl mu/m have been investigated using the technique. The measurement result supports the size effect of the thermal conductivity for thin film.
提出了一种测量薄膜热导率的新型微型装置。它是基于静态的方法,和一个简单的技术被广泛用于测量薄膜的横向热导率。该装置采用微机械加工工艺,将800/spl次/2000/spl亩/米的桥膜与30/spl次/100/spl亩/米的梁制成。穿过梁的桥膜上的加热器和温度计用于产生热流和测量温度。膜,热通量非常均匀,温度均匀分布,已验证了模拟,使系统误差小于传统的矩形结构。利用该技术制备了厚度为0.5 ~ 2/spl μ m的氮化硅薄膜。尺寸效应的测量结果支持薄膜的热导率。
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引用次数: 12
A co-evolution approach to sensor placement and control design for robot obstacle avoidance 机器人避障传感器布置与控制设计的协同进化方法
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373331
X. Wang, S.X. Yang, Weiren Shi, M. Meng
This paper proposes a coevolution approach to optimal sensor placement and controller design for a mobile robot to facilitate its navigation and obstacle avoidance in an unknown environment. The mobile robots considered in this paper have flexible sensor and control structure. A genetic algorithm is developed to evolve the parameters of optimal sensor placement and fuzzy logic controller simultaneously. The preliminary results indicate that the proposed coevolution approach can lead to efficient robot sensor placement and control design.
为使移动机器人在未知环境中导航和避障,提出了一种协同进化方法来优化传感器和控制器的设计。本文研究的移动机器人具有柔性传感器和柔性控制结构。提出了一种遗传算法来同时进化传感器的最优位置和模糊控制器的参数。初步结果表明,所提出的协同进化方法可以实现高效的机器人传感器布局和控制设计。
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引用次数: 8
Unsupervised image segmentation by combining spatially adaptive color and texture features 结合空间自适应颜色和纹理特征的无监督图像分割
Pub Date : 2004-06-21 DOI: 10.1109/ICIA.2004.1373374
Song Wang, Weihong Wang
We propose an image segmentation algorithm that is based on spatially adaptive color and texture features. The features are first developed independently, and then combined to obtain an overall segmentation. We combine a previously proposed adaptive clustering algorithm for color segmentation with a simple but effective texture segmentation approach to obtain an overall image segmentation. Our focus is in the domain of photographic images with an essentially unlimited range of topics. The images are assumed to be of relatively low resolution and may be degraded or compressed.
提出了一种基于空间自适应颜色和纹理特征的图像分割算法。这些特征首先是独立开发的,然后结合起来得到一个整体的分割。我们将先前提出的用于颜色分割的自适应聚类算法与一种简单而有效的纹理分割方法相结合,以获得整体图像分割。我们的重点是摄影图像领域,主题范围基本上是无限的。假设图像的分辨率相对较低,并且可能被降级或压缩。
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引用次数: 0
期刊
International Conference on Information Acquisition, 2004. Proceedings.
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