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2010 International Conference on Machine Learning and Cybernetics最新文献

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Fusion of reverse hierarchical alignment for Web-based English-Chinese bilingual dictionary construction 基于网络的英汉双语词典构建中的反向层次对齐融合
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580891
Yuejie Zhang, Lei Cen, Qing-Xin Wu, Cheng Jin, Tao Zhang
In this paper, a new Web-based English-Chinese bilingual dictionary construction pattern is established on the basis of the fusion of the reverse hierarchical alignment. On the one hand, English-Chinese bilingual corpora are collected based on Web mining. On the other hand, unlike the traditional alignment manner from sentence level to word level, the reverse alignment and verification from word level to sentence level is implemented by combining K-vec-based word-level alignment algorithm and Champollion-based sentence-level alignment algorithm. The experimental results show that the more ideal effect is obtained in the manner of “word level” −> “sentence level” reverse alignment dictionary construction.
本文在融合逆向层次对齐的基础上,建立了一种新的基于网络的英汉双语词典构建模式。一方面,采用Web挖掘的方法收集英汉双语语料库。另一方面,与传统的从句级到词级的对齐方式不同,从词级到句级的反向对齐和验证是通过结合基于k - vector的词级对齐算法和基于champollion的句子级对齐算法实现的。实验结果表明,“词级”−“句子级”反向对齐词典构建方式获得了更理想的效果。
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引用次数: 1
An empirical study on the prediction model of postgraduate education in Hebei Province 河北省研究生教育预测模型的实证研究
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580878
Lan-qin Wang, Wei-Wei Zhuang, Yu-Fen Liu
The correct prediction of the future development needs of the whole society, as well as the advanced adjustments and planning of postgraduate education are of great significance to achieve the sustainable and healthy development of postgraduate education in Hebei Province and to form a positive interaction between the development of postgraduate education and socio-economy development in Hebei Province. Based on the trend fitting model and the linear regression model, this paper predicts the scale of postgraduate education in Hebei Province to be achieved during the 12th and the 13th Five-year Plan, and points out that the scale of graduate student enrollment should be compatible with the GDP growth rate. Finally, we put forward some suggestions for the future development of the postgraduate education in Hebei Province.
正确预测全社会未来的发展需求,提前对研究生教育进行调整和规划,对实现河北省研究生教育的持续健康发展,形成河北省研究生教育发展与社会经济发展的良性互动具有重要意义。运用趋势拟合模型和线性回归模型,对河北省“十二五”、“十三五”期间实现的研究生教育规模进行了预测,并指出研究生招生规模应与GDP增速相适应。最后,对河北省研究生教育的未来发展提出了建议。
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引用次数: 3
Study on control system of a vapor condenser of nuclear power plant 核电站蒸汽凝汽器控制系统的研究
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580897
Shou-Yu Cheng, Ruo-Jun Xue, M. Peng, Cheng Gong, Qiang Zhao
Now control system of condenser does not take into account the overall characteristics of the condenser, cooling water, exhaust system and hot well use single variable controller and their relations are not considered, the control system of condenser is not benefit to condenser in variable conditions or changing load case. In order to improve the working environment of the condenser of nuclear power plant in different conditions, this paper proposes a condenser controller base on coordinated control technology from the overall characteristics of the condenser, In order to verify & validate the feasibility of the coordinated controller of condenser, simulation experiment is carried out by the vapor condenser simulation models which can describe the dynamic behavior of a nuclear power shell-and-tube condenser. The simulation results show that the coordinated controller is better than the traditional controller for the condenser, the transients of the most variables are milder and faster to reach their final values in mode of coordinated controller.
目前的冷凝器控制系统没有考虑到冷凝器的整体特性,冷却水、排风系统和热井采用单变量控制器,没有考虑它们之间的关系,不利于冷凝器在变工况或变工况下的控制。为了改善核电站凝汽器在不同工况下的工作环境,从凝汽器的总体特点出发,提出了一种基于协调控制技术的凝汽器控制器,为了验证和验证凝汽器协调控制器的可行性,利用能够描述核电壳管式凝汽器动态行为的蒸汽凝汽器仿真模型进行了仿真实验。仿真结果表明,协调控制器对凝汽器的控制效果优于传统控制器,在协调控制器模式下,大多数变量的暂态更温和,达到最终值的速度更快。
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引用次数: 1
Study on the method of fault diagnosis in analog circuits based on new multi-class SVM 基于新型多类支持向量机的模拟电路故障诊断方法研究
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580826
Jin-Long An, Zhen-Ping Ma
Fault diagnosis in analog circuits is a comparatively front research topic. Firstly, the characteristics and the difficulties of fault diagnosis in analog circuits are introduced in this paper. Secondly, to overcome the defections of existing methods of SVM multiclass classification, a new method of SVM multiclass classification based on binary tree is presented. Aiming at the characteristics of fault diagnosis with finite samples and the difficulties of traditional mode identifying method based on gradual-close theory faces in fault pattern classifier, we used our new method of SVM multiclass classification to fault diagnosis of analog circuits. Finally, we also simulate on the fault diagnosis examples with the same training and test samples, and compare the results with that of neural networks method. The simulation results show the new method is efficient.
模拟电路的故障诊断是一个比较前沿的研究课题。本文首先介绍了模拟电路故障诊断的特点和难点。其次,针对现有支持向量机多类分类方法的缺陷,提出了一种基于二叉树的支持向量机多类分类方法。针对有限样本故障诊断的特点和传统基于渐近理论的模式识别方法在故障模式分类器中面临的困难,将支持向量机多类分类方法应用于模拟电路的故障诊断。最后,对具有相同训练样本和测试样本的故障诊断实例进行了仿真,并与神经网络方法的结果进行了比较。仿真结果表明,该方法是有效的。
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引用次数: 3
A new correction method for Dead Reckoning navigation system based on digital map 基于数字地图的航位推算导航系统校正新方法
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580858
Yongqiang Han, Jia-Bin Chen, Zhi-De Liu, C. Song, Dun-Hui Zhao
In this paper, a new correction method for Dead Reckoning (DR) navigation system is proposed based on digital map. An improved Map-Match algorithm is adopted, including a new “road correction” algorithm and a new “road projection” algorithm based on fuzzy theory and geometry theory. New information that contains the similarity of the road is introduced to the communication protocol between DR system and Map-Match system, which greatly enhances the robustness of the data fusion period. Based on the information provided by digital map, the DR system can not only corrects the position output, but also estimates the odometer scale factor error. The result of road test proves that the new method greatly improves the performance of DR system in long distance navigation.
提出了一种基于数字地图的航迹推算导航系统校正方法。采用了一种改进的Map-Match算法,包括一种新的“道路校正”算法和一种新的基于模糊理论和几何理论的“道路投影”算法。在DR系统和Map-Match系统之间的通信协议中引入了包含道路相似度的新信息,大大提高了数据融合周期的鲁棒性。基于数字地图提供的信息,DR系统不仅可以对位置输出进行校正,还可以估计里程表比例因子误差。路试结果表明,该方法大大提高了DR系统在远距离导航中的性能。
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引用次数: 3
Automatic fissure detection in CT images based on the genetic algorithm 基于遗传算法的CT图像裂缝自动检测
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580871
Lin-Yu Tseng, Li-Chin Huang
Lung cancer is one of the most frequently occurring cancer and has a very low five-year survival rate. Computer-aided diagnosis (CAD) helps reducing the burden of radiologists and improving the accuracy of abnormality detection during CT image interpretations. Owing to rapid development of the scanner technology, the volume of medical imaging data is becoming huger and huger. Automated segmentations of the target organ region are always required by the CAD systems. Although the analysis of lung fissures provides important information for treatment, it is still a challenge to extract fissures automatically based on the CT values because the appearance of lung fissures is very fuzzy and indefinite. Since the oblique fissures can be visualized more easily among other fissures on the chest CT images, they are used to check the exact localization of the lesions. In this paper, we propose a fully automatic fissure detection method based on the genetic algorithm to identify the oblique fissures. The accurate rates of identifying the oblique fissures in the right lung and the left lung are 97% and 86%, respectively when the method was tested on 87 slices.
肺癌是最常见的癌症之一,其5年生存率非常低。计算机辅助诊断(CAD)有助于减轻放射科医生的负担,提高CT图像解释过程中异常检测的准确性。由于扫描仪技术的飞速发展,医学影像数据的量越来越大。CAD系统总是要求对目标器官区域进行自动分割。虽然肺裂隙的分析为治疗提供了重要的信息,但由于肺裂隙的外观非常模糊和不确定,因此基于CT值自动提取肺裂隙仍然是一个挑战。由于在胸部CT图像中,斜裂在其他裂缝中更容易被发现,因此斜裂被用来检查病变的确切定位。本文提出了一种基于遗传算法的斜裂缝全自动检测方法。在87张肺切片上,对右肺斜裂和左肺斜裂的识别准确率分别为97%和86%。
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引用次数: 5
Conspicuity-based visual scene semantic similarity computing for video 基于显著性的视频视觉场景语义相似度计算
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580490
Wei Wei, Tianyun Yan, Yuan-Mao Zhang
Based on saliency region representation of visual scene, a framework for quantifying the semantic similarity of two video scenes is proposed in this paper. Frame-segment key-frame strategy is used to concisely represent video content in temporal domain. Spatio-temporal conspicuity model for basic visual semantics, a neuromorphic model that simulates human visual system, is used to select dynamic and static spatial salient areas. With pattern classification technique, the basic visual semantics are recognized. Then, the similarity of two visual scenes is calculated according to information theoretic similarity principles and Tversky's set-theoretic similarity. Experiment results demonstrate the framework could compute quantitative semantic similarity of two video scenes.
基于视觉场景的显著区域表示,提出了一种量化两个视频场景语义相似度的框架。采用帧段关键帧策略,在时域内简洁地表示视频内容。基本视觉语义时空显著性模型是一种模拟人类视觉系统的神经形态模型,用于选择动态和静态空间显著区。利用模式分类技术,识别基本的视觉语义。然后,根据信息论相似原理和Tversky集合论相似度计算两个视觉场景的相似度。实验结果表明,该框架可以定量计算两个视频场景的语义相似度。
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引用次数: 0
Adding Choquet integral to case-based reasoning with incomplete data 基于不完全数据的案例推理中加入Choquet积分
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5581073
Shihong Yue, Weiqing Li, Jing Zhao, Xian Zhao
The Choquet integral is a very useful tool for multiple resource information fusion. Also, the case-based reasoning (CBR) can serve as the information fusion tool based on the basic idea “similar problems have similar solutions”. But the similarity measure among diverse cases has been studied with little satisfaction in the past decades. In this paper we take arbitrary number of similar case distances as the input of the Choquet integral to flexibly represent the interaction among the cases. Consequently, our proposed approach has the ability to approximate the more general relation described by a CBR system. Because of the application of the Choquet integral and the fact that the existing CBR system can be regarded as a special case of our proposed approach, we largely generalize the application scope of traditional CBR techniques. Essentially, our proposed approach can work well based on incomplete data and also tolerate noisy data and outliers.
Choquet积分是一种非常有用的多资源信息融合工具。基于“相似的问题有相似的解决方案”的基本思想,基于案例的推理(CBR)可以作为信息融合工具。但是,在过去的几十年里,对不同案例的相似性度量的研究几乎没有令人满意的结果。本文采用任意数目的相似情形距离作为Choquet积分的输入,以灵活地表示情形之间的相互作用。因此,我们提出的方法具有近似CBR系统描述的更一般关系的能力。由于Choquet积分的应用以及现有的CBR系统可以看作是我们所提出方法的一个特例,我们在很大程度上推广了传统CBR技术的应用范围。从本质上讲,我们提出的方法可以很好地基于不完整的数据,也可以容忍噪声数据和异常值。
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引用次数: 1
An improved neural-network-based palm biometric system with rotation detection mechanism 基于旋转检测机制的改进神经网络手掌生物识别系统
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580754
Chen-Sen Ouyang, R. Wu, Chih-Chung Wang
We propose an improved neural-network-based palm biometric system with a rotation detection mechanism. An efficient method is developed for detecting the palm rotation angle in the scanned image by establishing reference line segments and calculating the segment slopes. By integrating this mechanism into our previous work [1], the limitation of palm rotation angle can be alleviated. Besides, the feature point searching step in [1] can be simplified. Experimental results have shown that the rotation of palms in scanned images can be detected and the feature points can be located correctly.
我们提出了一种改进的基于神经网络的手掌生物识别系统,该系统具有旋转检测机制。提出了一种通过建立参考线段并计算线段斜率来检测扫描图像中手掌旋转角度的有效方法。将这一机制整合到我们之前的工作[1]中,可以缓解手掌旋转角度的限制。此外,可以简化[1]中的特征点搜索步骤。实验结果表明,该方法可以检测到扫描图像中手掌的旋转,并能正确定位特征点。
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引用次数: 3
Application of Conditional Random Fields model in unknown words identification 条件随机场模型在未知词识别中的应用
Pub Date : 2010-07-11 DOI: 10.1109/ICMLC.2010.5580955
Haijun Zhang, Weimin Pan, Shumin Shi, Chao-Yong Zhu
This paper proposed a method for Unknown Words Identification (UWI) based on repeats. To identify Unknown words with reliable theory, we put forward a formal model for the process of UWI, which can give directions on the selection of features used in UWI in theory. For the formal model, we propose employing Conditional Random Fields model (CRF) as statistical frame to resolve it. Under the statistical frame, UWI is converted to the process of exploiting effective features that can represent the essences of unknown words. The experiments show that the method of this paper is effective, and reasonable combination of features used in CRF can evidently improve the result of UWI. The ultimate result (F score) of this method is 47.81% and 69.83% in open test and word extraction respectively, which is better over the best result reported in previous works.
提出了一种基于重复序列的未识别词识别方法。为了用可靠的理论识别未知词,我们提出了UWI过程的形式化模型,从理论上为UWI特征的选择提供了指导。对于形式模型,我们提出采用条件随机场模型(CRF)作为统计框架来解决这一问题。在统计框架下,UWI转化为挖掘能够代表未知单词本质的有效特征的过程。实验结果表明,本文方法是有效的,在CRF中合理组合特征可以明显改善UWI的效果。该方法的最终结果(F分)在开放测试和词语提取中分别为47.81%和69.83%,优于以往文献报道的最佳结果。
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引用次数: 2
期刊
2010 International Conference on Machine Learning and Cybernetics
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