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2010 Second International Workshop on Education Technology and Computer Science最新文献

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Notice of RetractionImprovement Research of Evidence Theory in Mine Water Inrush Prediction 关于矿井突水预测证据理论撤回改进研究的通知
Xiao Jianyu, Tong Minming, Feng Wei, Guo Xijin
Since the highly conflicting evidence could not be combined effectively through D-S evidence theory, a novel D-S data fusion method based on evidence quality is introduced in this paper. The concrete algorithm for the reliability of observer and the measure of quality function value based on observer reliability are proposed. In the data fusion, adopting the measure of evidence quality, the collected data from multi-sensor is assigned to the different weight according to the reliability of observer, and the probability assignment value is correspondingly adjusted. The improved D-S evidence theory, along with combining the highly conflicting evidence, is applied successfully to the prediction of mine water inrush. The experimental results show that the method is effective.
针对D-S证据理论无法有效融合高冲突证据的问题,提出了一种基于证据质量的D-S数据融合方法。提出了观测器可靠性的具体算法和基于观测器可靠性的质量函数值度量。在数据融合中,采用证据质量度量,根据观察者的信度对多传感器采集的数据赋予不同的权重,并对概率赋值值进行相应调整。将改进的D-S证据理论结合高度矛盾的证据,成功地应用于矿井突水预测。实验结果表明,该方法是有效的。
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引用次数: 1
Color Videos' Multichannel Combination for Bandwidth Reduction and Fast Frequency Domain Processing 彩色视频多通道组合的带宽降低和快速频域处理
Shi Li, Shiliang Jing, Yueming Song, Bao Zhang
The real color video consumes much transfer bandwidth and the resource of the hardware. A new approach is introduced to process the real color video images in real-time using color components combination to fit to the limited transmission bandwidth. The Y, U, V planes of video images are packed to construct a 2 dimensional complex array. Through the decomposition of frequency domain, the Y, U, V frequency can be got respectively by performing Fourier transform a time on the specific complex array. These frequencies can be filtered to generate the final filtered images. The experiment results show that the proposed algorithm is 3X speed compared to the traditional algorithm, and it reduces 1/3 bandwidth of video data stream.
真实彩色视频需要消耗大量的传输带宽和硬件资源。为了适应有限的传输带宽,提出了一种利用彩色分量组合对彩色视频图像进行实时处理的新方法。将视频图像的Y、U、V平面打包成二维复杂数组。通过频域分解,对特定复阵列进行一次傅里叶变换,分别得到Y、U、V频率。这些频率可以被过滤以产生最终的过滤图像。实验结果表明,与传统算法相比,该算法的速度提高了3倍,并减少了1/3的视频数据流带宽。
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引用次数: 0
Notice of RetractionInstantiation-Based Teaching Reform Research of “Data Structure” 基于实例的《数据结构》教学改革研究
Shixia Ma, W. Chang, Dan Liu, Zuhua Guo
The paper analyzes the characteristics of ¿Data Structure¿ course, then starts from the teaching practice, carries through helpful exploration in following ways, such as teaching content, teaching methods etc. According to the experimental results, the method proposed by this paper can make an analogy to living examples for abstract concepts so as to improve the teaching quality and teaching effect.
本文分析了《数据结构》课程的特点,从教学实践出发,从教学内容、教学方法等方面进行了有益的探索。实验结果表明,本文提出的方法可以对抽象概念进行实例类比,从而提高教学质量和教学效果。
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引用次数: 0
Rotation Invariant Texture Measured by Local Binary Pattern for Remote Sensing Image Classification 基于局部二值模式的旋转不变纹理遥感图像分类
Cuiyu Song, Fengjie Yang, Peijun Li
Studies on rotation invariant texture in remote sensing image processing are relatively rare. Local Binary Pattern (LBP) is a relatively new rotation invariant texture measure which is theoretically simply but powerful. In this paper, the LBP operator was proposed to calculate texture features of the stimulant image derived from high-resolution remote sensing image. The produced texture image was combined with the spectral data in image classification to evaluate the performance of the rotation invariant texture measure. The result was compared to classifications using spectral data alone and plus traditional rotation variant texture images. Experiments demonstrate that compared to spectral classification, the classification overall accuracy can be significantly improved when the rotation invariant texture is included. The results also show that the rotation invariant texture result show a more than four percentage increase in overall accuracy, compared with the classification result with traditional Grey-Level Co- occurrence Matrix texture.
旋转不变性纹理在遥感图像处理中的研究相对较少。局部二值模式(Local Binary Pattern, LBP)是一种较新的旋转不变纹理测量方法,理论上简单但功能强大。本文提出了基于LBP算子的高分辨率遥感图像刺激图像纹理特征计算方法。将生成的纹理图像与光谱数据结合进行图像分类,评价旋转不变性纹理测度的性能。将结果与单独使用光谱数据和加上传统旋转变体纹理图像的分类结果进行了比较。实验表明,与光谱分类相比,加入旋转不变性纹理可以显著提高分类总体精度。结果还表明,与传统的灰度共生矩阵纹理分类结果相比,旋转不变纹理结果的总体准确率提高了4%以上。
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引用次数: 37
The Development of Computational Technology and Its Use in Finance 计算技术的发展及其在金融中的应用
W. Qianjiao, Lan Rong
From the constitution of computation, the main subjects of computer science and technology have been summarized. Meanwhile, the reasons why the developments of software technologies have pushed the computational science be widely used were analyzed. Multiple computing models were discussed base on different computer architectures. Finally, computation as a methodology, two important finance problems, effective financial supervision and high-speed financial product pricing, were solved by distributed and parallel computing.
从计算的构成出发,总结了计算机科学与技术的主要课题。同时,分析了软件技术的发展推动计算科学得到广泛应用的原因。讨论了基于不同计算机体系结构的多种计算模型。最后,以计算为方法论,利用分布式并行计算解决了有效的金融监管和金融产品的高速定价这两个重要的金融问题。
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引用次数: 2
A Routing Protocol for Large-scale Wireless Sensor Networks 一种大规模无线传感器网络路由协议
Zhongyu Cao, Wei Zhang, Gang Lu
Routing is a key technique for wireless sensor networks (WSN). In order to improve the efficiency of routing in large-scale WSN, we propose Sink Routing Table (SRT) routing protocol, a routing protocol for WSN, in this paper. In SRT protocol, nodes aggregate data and use energy aware neighbor selection to route packets towards the target along an optimal path, each common node has no need to maintain a routing table, sink node maintain one instead. Our simulation results show that SRT is robust on large-scale networks and works well in the face of uneven network load and energy consumption.
路由是无线传感器网络的一项关键技术。为了提高大规模WSN的路由效率,本文提出了一种基于Sink routing Table (SRT)的WSN路由协议。在SRT协议中,节点聚集数据并使用能量感知的邻居选择将数据包沿着最优路径路由到目标,每个公共节点不需要维护路由表,汇聚节点则需要维护路由表。仿真结果表明,SRT在大规模网络上具有良好的鲁棒性,在网络负载和能量消耗不均匀的情况下也能很好地工作。
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引用次数: 4
Notice of RetractionSpectral Features and Regression Model of Mine Vegetation in the Press of Heavy Metal 重金属出版社矿山植被光谱特征与回归模型研究
H. Hong, Yang Feng-jie, Zhou Guang-zhu, Li Yin-ming
Vegetation reflectance spectra in field with spectrometer to be tested in this study, used eight kinds of spectral parameters to analysis spectral of vegetation, six kinds of heavy metal content in plant leaves to be measured, then the regression model from the spectral characteristic parameters to the heavy metal content can be built, according to this can inverse heavy metal content with spectral parameters, further analysis the pollution extent of mine vegetation. Sampling areas were polluted by Cr more seriously, secondly was Ni. The 4th point was polluted most seriously by the heavy metal, The regression equations of Pb, Cu, Zn heavy metals had high correlation coefficient. The red valley area and the water absorption area with the Zn content in leaves had a high linear correlation, the red valley depth and the water absorption depth with the Cu content in leaves had a high linear correlation.
本研究利用光谱仪对野外植被反射光谱进行测试,利用8种光谱参数对植被光谱进行分析,对植物叶片中6种重金属含量进行测量,然后建立从光谱特征参数到重金属含量的回归模型,据此可以用光谱参数反演重金属含量,进一步分析矿山植被的污染程度。采样区Cr污染较严重,其次是Ni。第4点重金属污染最严重,Pb、Cu、Zn重金属回归方程具有较高的相关系数。红谷面积、吸水面积与叶片中Zn含量呈高度线性相关,红谷深度、吸水深度与叶片中Cu含量呈高度线性相关。
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引用次数: 2
Web Information Extraction Based on Hybrid Conditional Model 基于混合条件模型的Web信息提取
Rong Li, Chun-qin Pei, Jia-heng Zheng
The traditional Hidden Markov Model for web information extraction is sensitive to the initial model parameters and easy to lead to a sub-optimal model in practice. A hybrid conditional model to combine maximum entropy and maximum entropy Markov model is put forward for Web information extraction. With this approach, the input Web page is parsed to build an HTML tree, data regions are located in each HTML sub-tree node by estimating the entropy, which allows observations to be represented as arbitrary overlapping features (such as vocabulary, capitalization, HTML tags, and semantics), and defines the conditional probability of state sequences given to observation sequences for Web information extraction. Experimental results show that the new approach improves the performance in precision and recall over traditional hidden Markov model and maximum entropy Markov model.
传统的web信息提取隐马尔可夫模型对初始模型参数敏感,在实际应用中容易产生次优模型。提出了一种结合最大熵和最大熵马尔可夫模型的Web信息提取混合条件模型。使用这种方法,对输入Web页面进行解析以构建HTML树,通过估计熵来定位每个HTML子树节点中的数据区域,这允许将观察值表示为任意重叠的特征(如词汇表、大写、HTML标记和语义),并定义用于Web信息提取的观察序列的状态序列的条件概率。实验结果表明,与传统的隐马尔可夫模型和最大熵马尔可夫模型相比,该方法在查全率和查全率方面都有提高。
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引用次数: 4
A J2EE-Based Network Education Platform 基于j2ee的网络教育平台
Li ShengJian, Wu Xiaoning
With enhanced flexibility and interaction, education based on campus network has been emerging as one of the most promising teaching methods, particularly for Information Technology Education (ITE), which itself involves the development of Network education. In the paper, we briefly describe the characteristics of information technology education and focus on the implementation of J2EE framework-based Network education, which is elaborated in terms of system design and structure, user classification and related application mode. We discuss in detail several key techniques in the system development and some present thoughts of programming optimization.
由于校园网的灵活性和互动性的增强,校园网教育已成为最有前途的教学方式之一,尤其是信息技术教育,其本身就涉及到网络教育的发展。本文简要介绍了信息技术教育的特点,重点介绍了基于J2EE框架的网络教育的实现,从系统设计与结构、用户分类和相关应用模式等方面进行了阐述。详细讨论了系统开发中的几个关键技术以及目前的一些编程优化思路。
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引用次数: 6
The Teaching in ASP.NET Programming and the Development in E-commerce Project ASP的教学。. NET编程与电子商务项目开发
Anbao Wang, Hailan Pan
The paper discussed the elementary theory and essentiality in E-commerce at first In the next section, the knowledge about ASP. NET, C#, SQL Server, Internet Information Services and SSL Certificate and so on was introduced, also the paper talked about why to select ASP. NET and C# as E-commerce project programming language, project deploying and methods in E-commerce project. The relation of the education of ASP. NET programming and the deployment of E-commerce project was discussed importantly.
本文首先论述了电子商务的基本理论和必要性。介绍了asp.net、c#、SQL Server、Internet Information Services、SSL证书等,并阐述了为什么选择ASP。. NET和c#作为电子商务项目的编程语言,在电子商务项目中的项目部署和方法。ASP教育的关系。重点讨论了电子商务项目的编程和部署。
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引用次数: 3
期刊
2010 Second International Workshop on Education Technology and Computer Science
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