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2012 International Conference on Computer Science and Electronics Engineering最新文献

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Research and Realization of Computer Network Complex Practical Teaching Platform of Virtual Reality 计算机网络虚拟现实复杂实践教学平台的研究与实现
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.316
Z. Jie, Zhang Jianwei, Dou Yaxing
Analyzing teaching status of computer network practical courses in colleges and universities, the paper proposes the design program and the specific implementation method of complex practical teaching platform of virtual reality computer network, and builds a general practical teaching environment of computer network, which can combine reality with virtual, break the constrains of time and space, improve the utilization of laboratory equipment fully and train engineering application skills of students.
分析了高校计算机网络实践课程的教学现状,提出了虚拟现实计算机网络复杂实践教学平台的设计方案和具体实现方法,构建了一个打破时间和空间限制,将现实与虚拟相结合的计算机网络通用实践教学环境。充分提高实验室设备的利用率,培养学生的工程应用技能。
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引用次数: 0
Application of Support Vector Regression Algorithm in Colleges Recruiting Students Prediction 支持向量回归算法在高校招生预测中的应用
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.456
E. Ying
Support vector regression algorithm is applied to colleges recruiting students prediction in the paper. As colleges recruiting students prediction is a nonlinear regression problem, the input training data of colleges recruiting students are nonlinearly mapped into a high dimensional space in support vector regression model. The amount of colleges recruiting students of Sichuan province from 2000 to 2008 is used to prove the effectiveness of support vector regression method. Then,the forecasting curves of support vector regression method and BP neural network and the comparison of forecasting error for amount of colleges recruiting students between support vector regression method and BP neural network are given in this study.The comparison results of forecasting error for amount of colleges recruiting students between support vector regression method and BP neural network indicate that support vector regression method has a higher forecasting accuracy than BP neural network.
本文将支持向量回归算法应用于高校招生预测。由于高校招生预测是一个非线性回归问题,在支持向量回归模型中,将高校招生的输入训练数据非线性映射到高维空间中。以2000 - 2008年四川省高校招生规模为样本,验证支持向量回归方法的有效性。然后给出了支持向量回归方法与BP神经网络的预测曲线,并比较了支持向量回归方法与BP神经网络对高校招生人数的预测误差。比较支持向量回归方法与BP神经网络对高校招生人数的预测误差,结果表明支持向量回归方法比BP神经网络具有更高的预测精度。
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引用次数: 4
Some Key Issues on Modeling and Simulation of Military Communication Network 军事通信网络建模与仿真若干关键问题
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.385
Fanfan Yao, Renjie Xu, Qiang Liang, L. Tong
Military Communication Network is the nerve of modern wars. Based on the modeling and simulation of Military Communication Network, we can evaluate its efficiency in fighting process, analyze key points of network and find the improvement. Modeling and simulation of Military Communication Network is an important matter of modern combat simulation. Paper analyzes some keys in this process, and gives some methods to improve simulation system.
军事通信网是现代战争的神经。通过对军事通信网络的建模与仿真,可以评估军事通信网络在作战过程中的效率,分析军事通信网络的关键问题,找出改进之处。军事通信网络建模与仿真是现代作战仿真的重要内容。分析了仿真过程中的关键问题,提出了改进仿真系统的方法。
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引用次数: 2
BB-aided and Blog-aided English Learning Model Research bbs辅助与博客辅助英语学习模式研究
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.511
Cui Xiao-xia, Sun Yingling
Through researching and concluding the BB-aided and Blog-aided English learning model, this paper mainly focuses on the comparisons between the two aspects like the traditional and the new modern methods. We can find that the BB-aided and Blog-aided teaching model is the new trend of the teaching technology in the digital era, which can especially enhance the efficiency of the language learning greatly. Furthermore, it would lead both teachers and students to study without the limit of time and place, which is beneficial to the choice and arrangement of the learning contents and schedule spontaneously. It is also helpful for both the teachers and students to communicate thoroughly, resulting in coaching students in accordance of their aptitude, cooperative, inquirybased, and dialogical studying, consequently causing the deep reformation of the English teaching, realising the opinion that teaching benefits teachers as well as students preferably.
本文通过对bbs辅助英语学习模式和blog辅助英语学习模式的研究和总结,主要从传统方法和现代新方法两方面进行比较。我们可以发现,bbs辅助和blog辅助教学模式是数字时代教学技术的新趋势,尤其可以大大提高语言学习的效率。此外,它可以使教师和学生不受时间和地点的限制而学习,这有利于自发地选择和安排学习内容和时间表。这也有助于师生之间的充分交流,从而引导学生因材施教、合作学习、探究式学习和对话式学习,从而推动英语教学的深度改革,实现教学对教师和学生都有利的观点。
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引用次数: 0
Screen Luminance, Subtitle, and Viewing Angle on Viewing Distance of Liquid Crystal Display High-Definition Television 液晶显示高清电视屏幕亮度、字幕、视角对观看距离的影响
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.508
Der-Song Lee, Min-Liang Huang
This study explored the effect of screen luminance, subtitle, and viewing angle on preferred viewing distance for liquid crystal display high-definition television (LCD-HDTV). The results showed the mean preferred viewing distance was 3246 mm, about 4 times of television width. Preferred viewing distance increased as the scale of screen luminance went upward from scale 10 to scale 60, then decreased from scale 60 to scale 90. Whether there was subtitle or not did not have significant effect on viewing distance. Moreover, viewing angle was highly correlated with preferred viewing distance. The more deflected from the direct front view, the shorter the viewing distance was.
本研究探讨萤幕亮度、字幕及观看角度对液晶显示高清晰度电视(LCD-HDTV)偏好观看距离的影响。结果表明,平均偏好观看距离为3246 mm,约为电视宽度的4倍。首选观看距离随着屏幕亮度从10级上升到60级而增加,然后从60级下降到90级。有无字幕对观看距离无显著影响。此外,观看角度与偏好观看距离高度相关。视线偏离正前方越远,观察距离越短。
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引用次数: 4
Research on Operation Optimization Algorithm of Milling System 铣削系统运行优化算法研究
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.350
Wang Xiang-feng, Li Bo, Zhang Gang, Sun Li, Hu Jun-yu
A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which can guide the operator's operation. Tests show that this method has high modeling accuracy and optimization speed, also, it proves good reliability and efficiency.
提出了一种铣削系统运行优化的方法。首先,利用支持向量机得到铣削单元消耗与其相关操作参数之间的关系。其次,利用遗传算法和复合算法对模型进行优化,得到了该铣削系统在不同工况下的最优运行参数,可以指导操作人员的操作;实验结果表明,该方法具有较高的建模精度和优化速度,并且具有良好的可靠性和效率。
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引用次数: 1
Reseach of Image Encryption Algorithm Based on S-DES 基于S-DES的图像加密算法研究
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.305
Linxian Zhi
This paper mainly studies one kind of simple image encryption algorithm which can help general users to keep secret from the data information. The algorithm is modified from the DES whose processing may be divided into three steps: initial transform IP, 16 round iterations, and initial inversed transforms IP-1. Initial transformation and inverse transformation can enhance difficulty to be understood for data, and not to affect security of data. Modified encrypted algorithm, namely S-DES, carries on two round iterative encryptions to clear text. The length of block and secret key reduced. Therefore S-DES algorithm is more inexpensive than the DES encryption algorithm and remains many merits of DES.
本文主要研究一种简单的图像加密算法,可以帮助一般用户对数据信息保密。该算法是在DES的基础上改进而来,DES的处理可分为初始变换IP、16轮迭代和初始逆变换IP-1三个步骤。初始变换和逆变换可以提高数据的理解难度,同时不影响数据的安全性。改进的加密算法S-DES对明文进行两轮迭代加密。块和密钥的长度减少。因此,S-DES算法比DES加密算法成本更低,并且保留了DES的许多优点。
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引用次数: 2
Study on Evaluation Method of Enterprise Information System from Complex System Perspective 复杂系统视角下企业信息系统评价方法研究
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.394
Z. Xiaoyan
When an enterprise information system develops into the stage of being a complex system, the relatively delayed evaluation process will result in a low success rate of information system development projects. In this article, we analyzed the characteristics of evaluation process for information system projects, studied the evaluation methodology of information systems. Based on our studies, we proposed to evaluate the information system using from qualitative to quantitative methodologies at different stages of the whole development process, guided by the theory of open complex giant system. At different stage, we should calculate expert weights according to different evaluation focus. Lastly, we illustrated the whole evaluation steps. Our proposal will improve the efficiency and accuracy of the evaluation results, which is very important to guide the information system development.
当企业信息系统发展到复杂系统阶段时,相对滞后的评估过程将导致信息系统开发项目的成功率较低。本文分析了信息系统项目评价过程的特点,研究了信息系统项目评价方法。在此基础上,提出以开放的复杂巨系统理论为指导,从定性到定量的方法对信息系统在整个开发过程的不同阶段进行评价。在不同阶段,应根据不同的评价重点计算专家权重。最后,我们说明了整个评估步骤。本文的建议将提高评价结果的效率和准确性,对指导信息系统的开发具有重要意义。
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引用次数: 0
Feature Extraction Based on Equalized ULBP for Face Recognition 基于均衡ULBP的人脸识别特征提取
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.233
Wei Jin, Bin Li, Ming Yu
The exiting local binary pattern (LBP) operators have two disadvantages: (1) They produce rather long histograms, which slow down the recognition speed especially on large-scale face database, (2) Under some circumstances, they miss the local structure as they don't consider the effect of the central pixel. Aiming at these problems, we propose a novel feature extraction approach based on equalized uniform local binary pattern (EULBP) for face recognition. EULBP operator has two advantages: (1) It reduces significantly the histograms' dimension by doubling one-dimension pattern, (2) It considers the effect of the central pixel, thus improving the discrimination ability. The proposed feature extraction approach has been evaluated and compared with the conventional LBP and ULBP on two databases, FERET and Yale. Furthermore, in order to test the robustness of the proposed method under the condition that the resolution of the face image is low, we have also carried out experiments on the two databases by reducing the image resolution. The experimental results show that the proposed method gives the highest recognition accuracy in both normal and low-resolution conditions.
现有的局部二值模式(local binary pattern, LBP)算子存在两个缺点:(1)产生的直方图较长,特别是在大规模人脸数据库中,降低了识别速度;(2)在某些情况下,由于没有考虑中心像素的影响,会错过局部结构。针对这些问题,提出了一种新的基于均衡均匀局部二值模式(EULBP)的人脸识别特征提取方法。EULBP算子有两个优点:(1)通过将一维模式加倍,显著降低了直方图的维数;(2)考虑了中心像素的影响,提高了识别能力。在FERET和Yale两个数据库上对所提出的特征提取方法与传统的LBP和ULBP进行了评估和比较。此外,为了测试所提方法在人脸图像分辨率较低情况下的鲁棒性,我们还通过降低图像分辨率在两个数据库上进行了实验。实验结果表明,该方法在正常和低分辨率条件下均具有较高的识别精度。
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引用次数: 8
Remote of NC Remote Video Monitoring Based on Embedded Technology 基于嵌入式技术的NC远程视频监控
Pub Date : 2012-03-23 DOI: 10.1109/ICCSEE.2012.304
Qilong Tu, Ying Xiao
As in CNC machining remote video monitoring image signal data are large, it takes a long time for data processing, seriously affecting the actual situation of control of CNC equipment. The study is combined the advantages of both DSP and ARM, to form an independent dual-core structure embedded network video capture and compression system. The system combines WEB technology, embedded technology and image compression technology, to achieve a high degree of integration and industrial grade stability performance of the whole system, can adapt the needs to a remote multi-user video surveillance, can also achieve non-watch digital video recording function, if supported by image recognition and positioning technology, it can be used the management of unmanned in CNC machining and intelligent robot control and other fields.
由于数控加工中远程视频监控图像信号数据量大,需要较长时间进行数据处理,严重影响数控设备的实际控制情况。本研究结合DSP和ARM的优势,形成一个独立的双核结构嵌入式网络视频采集与压缩系统。该系统结合了WEB技术、嵌入式技术和图像压缩技术,实现了整个系统的高度集成化和工业级的稳定性能,可以适应远程多用户视频监控的需要,还可以实现非值班数字视频录制功能,如果辅以图像识别和定位技术,则可用于无人管理的数控加工和智能机器人控制等领域。
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引用次数: 0
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2012 International Conference on Computer Science and Electronics Engineering
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