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职业技术教育 2006年第26期27卷 93-96页

作者：成耀 Cao Jinli 南通大学计算机科学与技术学院江苏南通226019 Department of Computer Science ＆ Computer Engineering La Trobe University Bundoora Victoria Australia 3083

比较澳大利亚的拉筹伯大学和中国的南通大学在计算机专业本科生课程设置方面的异同,发现澳方具有中方值得借鉴的优势:重视实验和实践这一教学环节;选修课学分在总学分中所占比例明显偏高;学习条件比较好;软件工程项目、程序设计项目注... 详细信息

比较澳大利亚的拉筹伯大学和中国的南通大学在计算机专业本科生课程设置方面的异同,发现澳方具有中方值得借鉴的优势:重视实验和实践这一教学环节;选修课学分在总学分中所占比例明显偏高;学习条件比较好;软件工程项目、程序设计项目注重理论联系实际;重视职业道德教育,反对抄袭行为;重视每门课程的教学质量;课程设置量少、实用、信息量大。

关键词：中国澳大利亚高等学校计算机专业课程设置

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Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions

Forecasting Skewed Biased Stochastic Ozone Days: Analyses an...

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IEEE International Conference on Data Mining (ICDM)

作者： Kun Zhang Wei Fan Xiaojing Yuan Ian Davidson Xiangshang Li Department of EECS Tulane University New Orleans LA USA IBM Thomas J. Watson Research Center Hawthorne NY USA Department of Engineering Technology University of Houston Houston TX USA Computer Science State University of New York Albany Albany NY USA Department of Civil and Environmental Engineering Tulane University New Orleans LA USA

Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on Environmental Quality (TCEQ) to help them build highly accurate ozone level alarm forecasting models for the Houston area, where these technical difficulties come together in one single problem. Key characteristics of this problem that are challenging and interesting include: 1) the dataset is sparse (72 features, and 2% or 5% positives depending on the criteria of "ozone days"), 2) evolving over time from year to year, 3) limited in collected data size (7 years or around 2500 data entries), 4) contains a large number of irrelevant features, 5) is biased in terms of "sample selection bias", and 6) the true model is stochastic as a function of measurable factors. Besides solving a difficult application problem, this dataset offers a unique opportunity to explore new and existing data mining techniques, and to provide experience and guidance for similar problems. Our main technical focus addresses on how to estimate reliable probability given both sample selection bias and a large number of irrelevant features, and how to choose the most reliable decision threshold to predict the unknown future with different distribution. On the application side, the prediction accuracy of our approach is 20% higher in recall (correctly detects 1 to 3 more ozone days, depending on the year) and 10% higher in precision (15 to 30 fewer false alarm days per year) than state-of-the-art methods used by air quality control scientists, and these results are significant for TCEQ.

关键词： Stochastic processes Predictive models Data mining Technology forecasting Data engineering Geophysical measurements Size measurement Time measurement Accuracy Quality control

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Speeding-Up the Macroblock Partition Mode Decision in MPEG-2/H.264 Transcoding

Speeding-Up the Macroblock Partition Mode Decision in MPEG-2...

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IEEE International Conference on Image Processing

作者： Gerardo Fernandez-Escribano Hari Kalva Pedro Cuenca Luis Orozco-Barbosa Instituto de Investigación en Informáitica de Albacete Universidad de Castilla La Mancha Albacete Spain Department of Computer Science and Engineering Florida Atlantic University Boca Raton FL USA

Though H.264 is highly efficient compared to MPEG-2, the wide and deep penetration of MPEG-2 creates a need for co-existence of these technologies and hence creates a need for transcoding. In this paper, we introduce and evaluate a novel macroblock partition mode decision algorithm for inter-frame prediction to be used as part of a high-efficient MPEG-2 to H.264 transcoder. The proposed tools are used to compute an optimal MB coding mode decision with significantly reduced computational complexity. Specifically, we achieve the computational savings by using the following MB information coming from MPEG-2: the MB coding modes in MPEG-2 and the mean and variance of the 16 4×4 sub blocks of the MPEG-2 residual MBs. We use data mining algorithms to develop a decision tree for obtaining the H.264 coding decision modes. Our results show that the proposed algorithm is able to maintain a good picture quality while considerably reducing the number of operations to be performed.

关键词： Transcoding Partitioning algorithms Video coding Motion compensation Computational complexity Automatic voltage control Encoding Algorithm design and analysis Code standards computer science

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RD-Optimization for MPEG-2 to H.264 Transcoding

RD-Optimization for MPEG-2 to H.264 Transcoding

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Gerardo Fernandez-Escribano Hari Kalva Pedro Cuenca Luis Orozco-Barbosa Instituto de Investigación en Informática de Albacete Universidad de Castilla La Mancha Albacete Spain Department of Computer Science and Engineering Florida Atlantic University Boca Raton FL USA

In this paper, we introduce and evaluate a low complexity macroblock partition mode decision algorithm for inter-frame prediction in MPEG-2 to H.264 transcoder. The proposed tools are used to compute an optimal MB coding mode decision with significantly reduced computational complexity. Specifically, we achieve the computational savings by using the following MB information coming from MPEG-2: the MB coding modes, the coded block pattern (CBPC) in MPEG-2, and the mean and variance of the 16 4times4 sub blocks of the MPEG-2 residual MBs. We use data mining algorithms to develop a decision tree for H.264 coding mode decisions. The decision trees are built using RD optimized mode decisions and result in highly efficient mode decisions. The proposed transcoder is 35% faster than the RD optimized H.264 reference transcoder without a significant PSNR degradation. The proposed transcoder performs over 3 dB better than the SAE cost based H.264 transcoding

关键词： Transcoding Decision trees Data mining Partitioning algorithms PSNR Degradation Costs Video coding Algorithm design and analysis Classification tree analysis

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A simd environment for genetic algorithms with interconnected subpopulations

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Scalable Computing 2006年第2期7卷 65-86页

作者： Prabhu, Devaraya Buckles, Bill P. Petry, Frederick E. I2 Technologies 1603 LBJ Freeway Suite 780 DallasTX75234 United States The Center for Intelligent and Knowledge-based Systems Department of Electrical Engineering and Computer Science Tulane University New OrleansLA70118 United States

The algorithmic form of GAs conforms well to SIMD computing environments with relatively minor adjustments to the operators. In this paper we consider in detail a GA implementation on a MasPar machine. The question of the degree to which control parameters affecting intercommunication impact performance is addressed using ANOVA methods. The purpose is to supplant anecdotal experience with statistical evidence. A set of control parameters-topology, migration operator, migration radius, and migration probability-were chosen together with four representative levels of each. Metrics for three response variables-efficiency, diversity, and schema propagation-were developed that allowed insight into the behavior under the various parametric conditions. These were incorporated into three 4 × 4 × 4 × 4 randomized factorial experiment designs. Among other things, it was determined that the interconnection topology is not in itself a significant factor but the extent of connectivity and frequency of communication are. An important outcome of this study is that, while the individual factors are significant, the factors do not interact in unexpected ways. © 2006 SWPS.

关键词： Genetic algorithms

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Clustering protocol for sensor networks

Clustering protocol for sensor networks

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International Conference on Advanced Information Networking and Applications (AINA)

作者： A. Durresia V. Paruchuri L. Barolli Dept. of Comput. Sci. Louisiana State Univ. Baton Rouge LA USA Department of Computer Science Louisiana State University USA Faculty of Information Engineering Fukuoka Institute of Technology Japan

In this paper we present clustering protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce delays in sensor networks. Examples include routing protocols, and applications requiring efficient data aggregation. Our approach which is based on the covering problem that aims at covering an area with minimum possible circular disks assuming ideal conditions. CP is a lightweight protocol that does not require any neighborhood information and imposes lesser communication overhead. We present simulation results to show the efficiency of CP in both ideal cases and randomly distributed networks. Moreover, CP is scalable with respect to density and network size t.

关键词： computer science Application software Scalability Routing protocols Wireless communication Microelectronics Wireless sensor networks Surveillance Monitoring Network topology

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Observation of discrete nonlinear X-waves

Observation of discrete nonlinear X-waves

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Photonic Metamaterials: From Random to Periodic, META 2006

作者： lahini, Yoav Frumker, Eugene Silberberg, Yaron Droulias, Sotiris Hizanidis, Kyriakos Morandotti, Roberto Christodoulides, Demetrios N. Department of Physics of Complex Systems The Weizmann Institute of Science Rehovot 76100 Israel National Technical University of Athens School of Electrical and Computer Engineering 9 Iroon Polytechniou str Athens 15773 Greece Institute National de la Recherche Scientifique Varennes QC J3X 1S2 Canada College of Optics and Photonics CREOL University of Central Florida 4000 Central Florida Blvd. Orlando FL 32816 United States

We present experimental evidence for the formation of nonlinear X-waves in AlGaAs waveguide arrays. These results agree with numerical simulations based on the discrete nonlinear Schrödinger equation with an appr... 详细信息

ISBN: (纸本)155752808X

关键词： Nonlinear equations

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Discrete nonlinear X-waves in waveguide arrays

Discrete nonlinear X-waves in waveguide arrays

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Quantum Electronics and laser science Conference, QELS 2006

作者： lahini, Yoav Frumker, Eugene Silberberg, Yaron Droulias, Sotiris Hizanidis, Kyriakos Morandotti, Roberto Christodoulides, Demetrios N. Department of Physics of Complex Systems Weizmann Institute of Science Rehovot 76100 Israel National Technical University of Athens School of Electrical and Computer Engineering 9 Iroon Polytechniou str Athens 15773 Greece Institute National de la Recherche Scientifique Varennes QC J3X 1S2 Canada College of Optics and Photonics CREOL University of Central Florida 4000 Central Florida Blvd. Orlando FL 32816 United States

ISBN: (纸本)1557528136

关键词： Nonlinear equations

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Underwater 3D SlaM through entropy minimization

Underwater 3D SLAM through entropy minimization

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IEEE International Conference on Robotics and Automation (ICRA)

作者： J.M. Saez A. Hogue F. Escolano M. Jenkin Robot Vision Group Departamento de Ciencia de la Computación e Inteligencia Artificial Universidad de Alicante Alicante Spain Department of Computer Science and Engineering and the Centre for Vision Research York University Toronto ONT Canada

The aquatic realm is ideal for testing autonomous robotic technology. The challenges presented in this environment are numerous due to the highly dynamic nature of the medium. Applications for underwater robotics include the autonomous inspection of coral reef, ships, pipelines, and other environmental assessment programs. In this paper we present current results in using 6DOF entropy minimization SlaM (simultaneous localization and mapping) for creating dense 3D visual maps of underwater environments that are suitable for such applications. The proposed SlaM algorithm exploits dense information coming from a stereo system, and performs robust egomotion estimation and global-rectification following an optimization approach

关键词： Simultaneous localization and mapping Entropy Marine vehicles Vehicle dynamics Robot vision systems Inspection Surges Sea surface Extraterrestrial measurements Sea measurements

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A hybird image retrieval system with user's relevance feedback using neurocomputing

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Informatica (Ljubljana) 2005年第3期29卷 271-279页

作者： Wang, Dianhui Ma, Xiaohang Department of Computer Science and Computer Engineering La Trobe University Melbourne Vic. 3086 Australia

This paper aims at developing a hybrid scheme for intelligent image retrieval using neural nets. Each item in an image database is indexed by a visual feature vector, which is extracted using color moments and discrete cosine transform coefficients. Query is characterized by a set of semantic labels, which are predefined by system designers and associated with domain concerns. The proposed hybrid image retrieval (HIR) system utilizes the image content features as the system input, and the semantic labels as its output. To compensate the deficiency of semantics modelling, an on-line user's relevance feedback is applied to improve the retrieval performance of the HIR system. The neural net acts like a pattern association memory bank that maps the low-level feature vectors to their corresponding semantic labels. During the retrieval process, the weights of the neural net are updated by an interactive user's relevance feedback technique, where the feedback signal comprise the neural net actual output, semantic labels provided by users and the given query. A prototype HIR system is implemented and evaluated using an artificial image database. Experimental results demonstrate that our proposed techniques are promising.

关键词： Image retrieval

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