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2012 Third Global Congress on Intelligent Systems最新文献

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Research of the New Electronic Valve System with Quantitative Control 新型定量控制电子阀门系统的研究
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.36
Fan Yang, Yu Wang
In order to achieve the function of the quantitative control in a variety of flow systems, a new type of electronic valve with quantitative control is designed. The valve collects flow pulse signal from the impeller Hall flow sensor. STM32 chip is used to calculate the flow value and cumulate the total value. It's also used to control relay in order to real-time control solenoid valve. The communication network of upper and lower computer is built through the serial port of STM32, which achieves remote real-time monitoring between the upper computer and multiple quantitative control valves. Experiment results show that the electronic valve has a high precision and the error is less than 2.5%.
为了在各种流量系统中实现定量控制的功能,设计了一种新型的具有定量控制功能的电子阀。该阀从叶轮霍尔流量传感器采集流量脉冲信号。采用STM32芯片计算流量值并累计总价值。也可用于控制继电器,实现对电磁阀的实时控制。通过STM32串口建立上位机与下位机的通信网络,实现上位机与多个定量控制阀之间的远程实时监控。实验结果表明,该电子阀精度高,误差小于2.5%。
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引用次数: 4
Personalized Query Expansion Based on User Interest and Domain Knowledge 基于用户兴趣和领域知识的个性化查询扩展
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.70
Xu Jianmin, Liu Chang
User interest is an important basis for providing users with personalized search results. In this paper, the personalized query expansion is improved by combining the notion of user interest and domain knowledge. We present an approach to personalized search that involves calculating and annotating the interest weight of terms which are implicitly derived from user browsing history, and matching them with different domain dictionaries, finally selecting the expanding terms from three aspects: ontology-based correlation degree between expanding term and query term, interest weight and domain proportion. Our experiments show that the method is effective and is better than the traditional method, especially in the case of the query term belonging to more than one field whose advantage is more obvious.
用户兴趣是为用户提供个性化搜索结果的重要依据。本文结合用户兴趣和领域知识的概念,改进了个性化查询扩展。本文提出了一种个性化搜索方法,该方法对用户浏览历史隐含衍生的词进行兴趣权重计算和标注,并与不同的领域字典进行匹配,最后从扩展词与查询词之间基于本体的关联度、兴趣权重和领域比例三个方面选择扩展词。实验表明,该方法是有效的,并且优于传统方法,特别是在查询词属于多个字段的情况下,其优势更加明显。
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引用次数: 3
Improved or Green Wave-Guide Methods in the Acoustic Emission Inspection of High / Low-Temperature or Complicated Vessels 高/低温或复杂容器声发射检测中的改进或绿色波导方法
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.43
Yanting Xu, Xiaowei Wang, Yadong Wang
Acoustic emission (AE) sensors are used to detect acoustic signals from serious and active defects of vessels inspected. Ordinary AE sensors generally can not be directly coupled on walls of high/low-temperature or complicated vessels because of the limitations of their temperatures or configurations. In this paper, several practical and improved wave-guide rods are designed so as to test these special vessels using ordinary AE sensors, and more importantly, some “green” wave-guide methods are put forward for the same purpose. As a successful practice, this paper introduces the AE on-line testing of a cryogenic bi-layer storage tank by means of a special wave-guide method. A lot of field testing practice shows that those recommended wave-guide methods are economical, simple and practical, and that they meet the needs of AE testing of most high/low-temperature or complicated vessels using ordinary sensors.
声发射传感器用于检测被检容器严重缺陷和活动缺陷的声信号。普通声发射传感器由于其温度或结构的限制,一般不能直接耦合在高/低温或复杂的容器壁上。本文设计了几种实用的和改进的导波棒,以便用普通声发射传感器对这些特殊容器进行测试,更重要的是提出了一些“绿色”导波方法。作为成功的实践,本文介绍了利用特殊波导法对低温双层储罐进行声发射在线测试的方法。大量的现场测试实践表明,这些推荐的波导方法经济、简单、实用,可以满足大多数高/低温或复杂容器使用普通传感器进行声发射测试的需要。
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引用次数: 1
Prediction and Analysis of Air Incidents and Accidents Using Case-Based Reasoning 基于案例推理的航空事故预测与分析
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.90
M. Zubair, M. J. Khan, M. Awais
Prediction of upcoming events has very critical role in many disciplines of life. Air accidents and incidents are one of such critical events. There are many existing learning methods in literature. Case-based reasoning (CBR) is a lazy learning technique of artificial intelligence which exploits past experience very efficiently. It works well when precise information is not available and available information is not well-structured. In this paper, we propose to apply CBR for prediction of air accidents and incidents. In the proposed framework, we describe the retrieval strategies, solution algorithms and revision mechanism. We have implemented the proposed idea for the data of air accidents, incidents and crashes. The results show that up to 87% accuracy can be achieved using the proposed framework.
预测即将发生的事件在生活的许多学科中都起着至关重要的作用。航空事故和事故就是其中一个关键事件。现有的文学学习方法有很多。基于案例的推理(Case-based reasoning, CBR)是人工智能中一种非常有效地利用过去经验的惰性学习技术。当无法获得精确的信息,或者可用的信息结构不合理时,这种方法很有效。本文提出将CBR应用于航空事故和事件的预测。在该框架中,我们描述了检索策略、求解算法和修订机制。我们已经实施了关于航空事故、事故和坠机数据的建议。结果表明,使用该框架可以实现高达87%的准确率。
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引用次数: 11
A Multi-template Decomposed Tracking Method Based on Specific Object of Multi-viewpoint Video and Route Scheme 基于特定目标的多模板分解多视点视频跟踪方法及路径方案
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.24
Jun Wang, Jinyong Wu, Yike Wang, Z. Gong, Dejian Liu
According to the need of specific object's tracking of multi-viewpoint video, a specific object's tracking method of multi-viewpoint video based on multi-template decomposed tracking and route scheme has been put forward in this paper. First, the route may be schemed by gridding search in this method. Then the object area from motion detection can be blew up, subsequently subtle location should be done again by integration chart. Last, the object from subtle location and the image templates from each angle should be matched. When matching the templates, the features can be extracted by up and down decomposition to the objects. The object with best match and over the threshold can be set as the object to be tracked further. Experiments show that the amount of computation can be reduced greatly and the speed can be improved by the route scheme. The tracking precision has been improved by the precision location of integration chart and the match of multi-template. The method in this paper can become a new method to effectively tracking the specific object of multi-viewpoint video.
根据多视点视频特定目标跟踪的需要,提出了一种基于多模板分解跟踪和路由方案的多视点视频特定目标跟踪方法。首先,该方法可以通过网格搜索对路径进行规划。然后对运动检测得到的目标区域进行放大,再通过积分图进行精细定位。最后,将细微位置的目标与各个角度的图像模板进行匹配。匹配模板时,可以通过对对象的上下分解提取特征。将匹配最佳且超过阈值的对象设置为进一步跟踪的对象。实验表明,该路由方案可以大大减少计算量,提高速度。通过积分图的精确定位和多模板的匹配,提高了跟踪精度。本文所提出的方法可以成为一种有效跟踪多视点视频中特定目标的新方法。
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引用次数: 0
An Image Edge Detection Algorithm Based on One-Dimensional Discrete Wavelet Signal-Noise Separation 基于一维离散小波信噪分离的图像边缘检测算法
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.10
X. Li, X. Zhao
By using wavelet transform modulus maxima method to detection image edge, edge details are easily smoothed out in the large scale analysis and related parameters great influenced by the noise is not easy to extract in traditional small scale analysis. To solve this problem, this paper proposes a method based on one-dimensional discrete wavelet image edge detection. This algorithm decompose image into one-dimensional signal, making signal-noise separation with one-dimensional discrete wavelet, and detect the edge of de-noised signal's high frequency components. The article has experimented the multiple vehicle detection in real scene for many times, and the result shows that this algorithm solved the problem that exist in wavelet transform modulus maxima method to test image edges in small scale analysis, restraining noise better, and had higher precision in edge localization.
利用小波变换模极大值法检测图像边缘,在大尺度分析中边缘细节容易平滑,而在传统的小尺度分析中受噪声影响较大的相关参数不易提取。为了解决这一问题,本文提出了一种基于一维离散小波图像边缘检测的方法。该算法将图像分解为一维信号,用一维离散小波进行信噪分离,并检测去噪信号高频成分的边缘。本文对真实场景中的多车检测进行了多次实验,结果表明,该算法解决了小波变换模极大值法在小尺度分析中检测图像边缘时存在的问题,更好地抑制了噪声,边缘定位精度更高。
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引用次数: 1
A Cascaded Retrieval Method of Specified Object Based on Fusing Multiple Features 一种基于多特征融合的指定对象级联检索方法
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.25
Jinyong Wu, Yong Zhao, Xing Zhang, Jun Wang, Yike Wang
Considering the need of video retrieval and images retrieval, a cascaded retrieval method of specified object based on fusing multiple features has been put forward in this paper. The color and the SURF features should be fused subtly by the algorithms. And then the retrieval object can be extracted gradually from the rough to the subtle by the cascaded retrieval method. It mainly includes the following 3 parts: rough retrieval on the first level, subtle retrieval on the second level, comprehensive judgment on the third level. The rough area containing the suspected vehicles can be recognized by the color histogram with color layered in rough retrieval. Further recognition on the basis of rough retrieval can be done by obtaining SIFT features information in subtle retrieval. The comprehensive confidence of the object vehicles can be obtained by some principles according the independent similarity from the rough retrieval of colors and the subtle retrieval of features in comprehensive judgment. The experiments show the problem that the object features cannot be extracted from rigid object and flexible object at the same time has been solved by the algorithm in this paper. It has a better retrieval precision and a high processing speed, so that it prove to a new method to retrieve the video and image effectively.
考虑到视频检索和图像检索的需要,提出了一种基于多特征融合的指定目标级联检索方法。该算法将颜色和SURF特征巧妙地融合在一起。然后通过级联检索方法从粗到细逐步提取检索对象。它主要包括以下三个部分:第一级的粗略检索,第二级的微妙检索,第三级的综合判断。在粗糙检索中,采用颜色分层的颜色直方图来识别包含可疑车辆的粗糙区域。在粗糙检索的基础上,通过精细检索获取SIFT特征信息,实现对目标的进一步识别。根据综合判断中颜色粗检索和特征细检索的独立相似度,采用一定的原则获得目标车辆的综合置信度。实验表明,该算法解决了刚体和柔性体不能同时提取目标特征的问题。该方法具有较好的检索精度和较高的处理速度,为有效检索视频和图像提供了一种新的方法。
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引用次数: 2
A Frequency Adaptive Controller for Induction Heating Power Supply 一种感应加热电源频率自适应控制器
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.38
Zhang Gang, Wu Chao, Ge Yunwang, Bu Ting
Design and simulation of frequency adaptive controller for induction heating power supply is raised in this paper. When the load characteristics of power supply are changed, the controller can automatically track and lock the frequency of the load, so that the inverter circuit is kept in a resonant state. In order to achieve wide frequency range and high accuracy, the control system applies DSP devices as the control CPU, and FUZZY as well as DPLL control as dual controller strategy. Simulation in MATLAB has been carried out whose result shows that the control method proposed in this paper has better performance than the traditional ones.
本文提出了感应加热电源频率自适应控制器的设计与仿真。当电源负载特性发生变化时,控制器可自动跟踪并锁定负载的频率,使逆变电路保持谐振状态。为了实现宽频率范围和高精度的控制,控制系统采用DSP器件作为控制CPU,采用FUZZY和DPLL控制作为双控制器策略。在MATLAB中进行了仿真,结果表明本文提出的控制方法比传统的控制方法具有更好的性能。
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引用次数: 1
The Properties of Fuzzy Rough Sets Defined by Nadan Nadan定义的模糊粗糙集的性质
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.40
Ma Qian, Miao Honghai, Huo Lujing, Song Zhen-ming
Cut set is an important concept in fuzzy systems, the constructing properties of fuzzy rough sets and the properties of cut sets are discussed, thus improving the theoretical basis furtherly to facilitate the follow-up study.
切集是模糊系统中的一个重要概念,讨论了模糊粗糙集的构造性质和切集的性质,从而进一步完善了理论基础,便于后续的研究。
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引用次数: 0
Research on Evidence of Vehicle Electronics Data 车辆电子数据证据研究
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.97
Xueyang Zhao, Ming-ming Li
With the development of the vehicle electronic and information technology, the police need collecting more and more electronic evidence during handling traffic accidents. How to effectively use electronic data for traffic accident treatment service has been a new problem in our work. On the basis of the introduction of related concepts and research of the present situations, this paper introduces the design of automotive electronic forensics process model and gives a more clear-cut electronic forensics model system.
随着车载电子信息技术的发展,公安机关在处理交通事故过程中需要收集越来越多的电子证据。如何有效地利用电子数据进行交通事故处理服务一直是我们工作中的一个新问题。本文在介绍相关概念和研究现状的基础上,介绍了汽车电子取证过程模型的设计,给出了一个较为清晰的电子取证模型体系。
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引用次数: 3
期刊
2012 Third Global Congress on Intelligent Systems
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