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

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A New Approach of Pitch Detection Based on Morphology Filter and Wavelet Transform 基于形态学滤波和小波变换的基音检测新方法
Zhang Jun, Heping Wang
This paper proposes a new pitch detection method with the combination of morphology filter and wavelet transform. Before detection, a pre-process based on morphology filter is performed to remove the noise. Then the pitch is detected by wavelet transform. Experiments show that this method can realize pitch period calculation accurately and has a better robustness.
提出了一种结合形态学滤波和小波变换的基音检测方法。在检测前,进行基于形态学滤波的预处理,去除噪声。然后用小波变换检测基音。实验表明,该方法能准确实现基音周期的计算,具有较好的鲁棒性。
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引用次数: 6
Approaches in Evaluations of Internet Topology Modeling 互联网拓扑建模评价方法
Ye Xu, Zhuo Wang
An effective approach to evaluate Internet topology model was mainly studied in this paper. SLS (Signless Laplacian Spectra), is used to quantitatively identify the topology properties of the Internet generated by the model and the Internet out of real measuring. SLS eigenvectors could be gained out of this procedure, then a cross-correlation algorithm was performed on the eigenvectors to give the difference identification in a quantitative way. With this, a specific way of using the estimation approach within a Genetic Algorithm was finally given.
本文主要研究了一种评估互联网拓扑模型的有效方法。SLS (Signless Laplacian Spectra,无符号拉普拉斯谱)用于定量识别由模型生成的互联网的拓扑性质和实际测量得到的互联网的拓扑性质。然后对特征向量进行互关算法,定量地进行差分识别。最后给出了在遗传算法中使用估计方法的具体方法。
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引用次数: 3
Course-Scheduling Algorithm of Option-Based Hierarchical Reinforcement Learning 基于选项的分层强化学习排课算法
Guo Fang Ming, Song Hua
This paper proposes applying Option-based hierarchical reinforcement learning algorithm to timetable scheduling strategy learning in colleges and universities so as to enhance the performance of traditional reinforcement learning course-scheduling algorithm. From experimentation and application in course-scheduling system, it can be seen that Option-based hierarchical reinforcement learning course scheduling algorithm has a better effect than traditional reinforcement learning course-scheduling algorithm.
本文提出将基于option的分层强化学习算法应用于高校课程表调度策略学习,以提高传统强化学习排课算法的性能。从实验和在排课系统中的应用可以看出,基于option的分层强化学习排课算法比传统的强化学习排课算法有更好的效果。
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引用次数: 6
A Research on the Construction of Three-dimensional and Open-ended Practice Teaching Platform of Taxation under the Context of Information Technology 信息技术背景下三维开放式税务实践教学平台建设研究
Hu Ailing, Sun Cong
With the rapid development of wide application of information technology, it is required that high-quality competent composite specialists of a taxation service are competent for the job of taxation, various intermediary organs and finance and accounting for enterprises. Three-dimensional and open-ended practice teaching platform is an important part of taxation teaching and research work and an important carrier to develop high-quality taxation specialists. Under the informatizational background, this paper provides a useful discussion on how to build three-dimensional, open-ended taxation practice teaching platform.
随着信息技术广泛应用的迅速发展,要求高素质的胜任税务、各类中介机构和企业财务会计工作的复合型税务服务专家。立体开放式实践教学平台是税务教学科研工作的重要组成部分,是培养高素质税务专业人才的重要载体。在信息化背景下,如何构建立体化、开放式的税务实践教学平台,是一种有益的探讨。
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引用次数: 0
Application of Digital Speckle Correlation Method Combined with Edge Tracking in Sheet Tensile Test 结合边缘跟踪的数字散斑相关方法在薄板拉伸试验中的应用
Zhou Guofeng, Li Xiaoxing
A novel detection method based on digital speckle correlation is proposed for the tensile test of sheet metal. Standardized covariance correlation formula is adapted according to the specimen’s tensile deformation. Also a new calibration method employing specimen as the calibrate object is presented combination with edge detection techniques. Purposing to improve the accuracy and rates of correlation search, the edge tracking measure results are adopted as the initial value of correlation search. And the feasibility of this set of method is proved by silica gel tensile tests.
提出了一种基于数字散斑相关的金属薄板拉伸检测方法。根据试件的拉伸变形,采用标准化协方差相关公式。并结合边缘检测技术,提出了一种以样品为标定对象的标定方法。为了提高关联搜索的准确率和率,采用边缘跟踪测量结果作为关联搜索的初始值。并通过硅胶拉伸试验验证了该方法的可行性。
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引用次数: 1
A Simple Storage Mechanism for RSM by Using Container 一种基于容器的RSM存储机制
Ting Zeng, Zhurong Zhou, Yan Tang, Yuhui Qiu
Resource space model (RSM) is a semantic data model to manage and share heterogeneous resources by appropriately classifying the contents of resources in the future interconnection environment. The current storage model C-tree for RSM is too complicated to develop an available sharing tool which affects the study of RSM. For simplifying and improving the Storage efficiency of RSM, this paper presents a simple storage mechanism for RSM based on container. The approach maps RSM into Object Model which use container for storing Resource Space Entities and consider the SELECT and INSERT operations as behaviors in Class. Moreover, the most advantageous features of RSM, aggregation query, can be achieved through the SELECT operation. And our work can also be used in the nested table application of RSM.
资源空间模型(Resource space model, RSM)是在未来互联环境中,通过对资源内容进行适当分类,实现异构资源管理和共享的语义数据模型。现有的RSM存储模型C-tree过于复杂,无法开发出可用的共享工具,影响了RSM的研究。为了简化和提高RSM的存储效率,本文提出了一种基于容器的RSM存储机制。该方法将RSM映射到对象模型中,对象模型使用容器存储资源空间实体,并将SELECT和INSERT操作视为类中的行为。此外,RSM最有利的特性聚合查询可以通过SELECT操作来实现。我们的工作也可以用于RSM的嵌套表应用程序。
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引用次数: 0
High-Throughput FPGA Implementation of 256-bit Montgomery Modular Multiplier 256位Montgomery模块乘法器的高吞吐量FPGA实现
Yaxun Gong, Shuguo Li
A novel modular multiplier is implemented on FPGA for elliptic curve cryptography (ECC) over GF(p). First, using the embedded 18×18-bit multipliers in the FPGA device, we design a 256-bit Montgomery modular multiplier which spends 3 clock cycles to compute a modular multiplication. Second, the algorithm for Karatusba-Ofman multiplication is used to reduce the number of embedded multipliers needed. Third, to get a higher throughput rate on FPGA devices, we propose a 5-stage pipeline structure to realize the modular multiplier. At last, implemented on Altera Cyclone3 EP3C40F324C6, this modular multiplier runs at the clock rate of 30.38MHz, and performs a 256-bit Montgomery modular multiplication in 0.1µs, which is much faster than previous implementations on FPGA device.
在FPGA上实现了一种基于GF(p)的椭圆曲线加密(ECC)的模块化乘法器。首先,利用FPGA器件中的嵌入式18×18-bit乘法器,我们设计了一个256位Montgomery模块化乘法器,该乘法器花费3个时钟周期来计算一个模块乘法。其次,使用Karatusba-Ofman乘法算法减少所需的嵌入乘法器数量。第三,为了在FPGA器件上获得更高的吞吐率,我们提出了一个5级流水线结构来实现模块化乘法器。最后,该模块化乘法器在Altera Cyclone3 EP3C40F324C6上实现,时钟速率为30.38MHz,在0.1µs内完成256位Montgomery模块化乘法运算,比以往在FPGA器件上实现的速度快得多。
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引用次数: 26
The Spread of Malicious Software Research and Prevention 恶意软件的传播研究与防范
Y. Jiang, Wang Li
Internet security issues increasingly prominent, the spread of malicious software and is particularly serious outbreak. Paper analyzed the malicious software brought about by the danger of malicious software, introduced the definition and classification, describes the characteristics of their behavior, focused on the spread of malicious software models, including the SI model, SIS model and the SIR model, the model adopted by the master The spread of malicious software and route of transmission, and then studied the response to stop the malicious software, including the pre-defense, and defense in the matter after the repair, and Practice has proved that this method is very effective to guard against malicious software.
互联网安全问题日益突出,恶意软件的传播和爆发尤为严重。论文分析了恶意软件所带来的危害,介绍了恶意软件的定义和分类,描述了它们的行为特征,重点介绍了恶意软件的传播模型,包括SI模型、SIS模型和SIR模型,掌握了所采用的恶意软件的传播模型和传播路径,然后研究了阻止恶意软件的响应方法,包括预防御、并在事后进行修复和防御,实践证明,这种方法对防范恶意软件是非常有效的。
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引用次数: 1
Design and Implementation of the Multimedia CAI Courseware Based on Cognitive Learning Theory 基于认知学习理论的多媒体CAI课件的设计与实现
L. Shuguang, Lian Pengfei, Ba Lin
The information processing theory of cognitive learning is an extremely popular theory in the West modern learning theory, which study the human cognition and learning process with help of the information processing perspective, by comparing the human cognitive process and learning process with the functionality demonstrated by the computer program, so a good answer to what is to learn and how to study can be get. Based on cognitive learning theory, a cognitive-based multimedia CAI courseware design method is presented, and the multimedia CAI courseware for "the course of control series" in line with this model is developed in this paper. The courseware design idea, the overall structure and the realization of some crucial technical problems are also discussed in details.
认知学习的信息加工理论是西方现代学习理论中非常流行的一种理论,它借助信息加工的视角来研究人类的认知和学习过程,通过将人类的认知过程和学习过程与计算机程序所展示的功能进行比较,从而得到一个关于什么是学习以及如何学习的很好的答案。基于认知学习理论,提出了一种基于认知的多媒体CAI课件设计方法,并开发了符合该模型的《控制系列课程》多媒体CAI课件。对课件的设计思想、总体结构和实现中的一些关键技术问题也进行了详细的论述。
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引用次数: 2
Build Petroleum Exploration and Production Domain Ontology from Reference Models 基于参考模型构建石油勘探与生产领域本体
Wen Bilong, Ben Fucai, Ye Jing
The petroleum exploration and production domain includes more than twenty specialties such as exploration, production, etc. Difference information vocabulary among specialties results in problems about information sharing and application software integration among specialties. Ontology was introduced to solve above problem. According the feature of petroleum business, the method to building Petro-Onto(petroleum exploration and production domain ontology) was proposed, the top-level ontology was designed, and an approach was proposed to capture concepts and the relationships among concepts automatically from business models and data models. Petro-Onto has been applied in oil field information integration.
石油勘探与生产领域包括勘探、生产等二十多个专业。专业间信息词汇的差异导致了专业间信息共享和应用软件集成的问题。为了解决上述问题,引入了本体。根据石油业务的特点,提出了构建石油勘探与生产领域本体的方法,设计了顶层本体,提出了从业务模型和数据模型中自动捕获概念和概念间关系的方法。Petro-Onto已在油田信息集成中得到应用。
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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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