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Reversible JPEG Data Hiding Based on EMD

通讯和计算机（中英文版） 2012年第10期9卷 1135-1141页

作者： Wen-Chung Kuo Shao-Hung Kuo Department of Computer Science and Information Engineering National Yunlin University of Science & Technology Yunlin 672 Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology Yunlin 640 Taiwan

As the rapid growth of smart phone technology, people have a lot of digital image information such as digital photos or videos. Both data hiding and data compression are very important technologies in image processing field. On the overview, it seems that there is no relationship between data hiding and data compression because data hiding mechanisms focus on information security and data compression mechanisms emphasize the compression ratio. However, the more secret data is embedded, the more capacity the stego image increases. Actually, they are closely related. Until now, there are many literatures to discuss the secret data how to be embedded into the media image and keeps the original capacity as soon as possible. In this paper, a reversible data hiding scheme based on EMD data hiding and JPEG (Joint Picture Experts Group) compression technology will be proposed. According to experimental results, the authors can prove that our proposed scheme maintains high embedding capacity, security and good compression ratio.

关键词：数据隐藏 JPEG EMD 可逆数字图像信息数据嵌入压缩技术数据压缩

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An efficient parallel architecture for ray-tracing

An efficient parallel architecture for ray-tracing

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作者： Nery, Alexandre S. Nedjah, Nadia França, Felipe M.G. LAM - Computer Architecture and Microeletronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal Do Rio de Janeiro Rio de Janeiro RJ Brazil Department of Electronics Engineering and Telecommunications Faculty of Engineering Universidade Do Estado Do Rio de Janeiro Rio de Janeiro RJ Brazil

Real time rendering of three-dimensional scenes in high photorealistic details is a hard task, such as in the ray tracing rendering algorithm. In general, the performance achieved by a sequential software-based implementation of ray tracing is far from satisfactory. However, parallel implementations of ray tracing have been enabling reasonable real time performance, as the algorithm is embarrassingly parallel. Thus, a custom parallel design in hardware is likely to achieve an even higher performance. In this paper, we propose a hardware parallel architecture capable of dealing with the main desirable features of ray tracing, such as shadows and reflection effects, imposing low area cost and a promising rendering performance. Such architecture, called GridRT, is based on the Uniform Grid acceleration structure and is intended to deliver massive parallelism through parallel ray-triangle intersection tests as well as parallel processing of many rays. A hardware implementation of the proposed architecture is presented, together with some performance results and resources requirements. The rendering is reduced by 80% using a grid configuration of eight processing elements. © Springer science+Business Media, LLC 2011.

关键词： Field programmable gate arrays (FPGA)

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Modeling the breakage-fusion-bridge mechanism: Combinatorics and cancer genomics

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16th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2012

作者： Kinsella, Marcus Bafna, Vineet Bioinformatics and Systems Biology Program University of California San Diego San Diego CA 92093 United States Department of Computer Science and Engineering University of California San Diego San Diego CA 92093 United States

ISBN: (纸本)9783642296260

The breakage-fusion-bridge (BFB) mechanism was proposed over seven decades ago and is a source of genomic variability and gene amplification in cancer. Here we formally model and analyze the BFB mechanism, to our knowledge this first time this has been undertaken. We show that BFB can be modeled as successive inverted prefix duplications of a string. Using this model, we show that BFB can achieve a surprisingly broad range of amplification patterns. We find that a sequence of BFB operations can be found that nearly fits most patterns of copy number increases along a chromosome. We conclude that this limits the usefulness of methods like array CGH for detecting BFB and discuss other implications for understanding mechanisms of genomic instability. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Pattern matching

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Low-frequency noise in "graphene-like" exfoliated thin films of topological insulators

Low-frequency noise in "graphene-like" exfoliated thin films...

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2011 MRS Spring Meeting

作者： Hossain, M.Z. Rumyantsev, S.L. Shahil, K.M.F. Teweldebrhan, D. Shur, M. Balandin, A.A. Nano-Device Laboratory Department of Electrical Engineering and Materials Science and Engineering Program University of California Riverside CA 92521 United States Department of Electrical Computer and Systems Engineering Center for Integrated Electronics Rensselaer Polytechnic Institute Troy NY 12180 United States Ioffe Institute Russian Academy of Sciences St. Petersburg 194021 Russia

ISBN: (纸本)9781605113210

We report results of the study of the low-frequency noise in thin films of bismuth selenide topological insulators, which were mechanically exfoliated from bulk crystals via "graphene-like" procedures. From the resistance dependence on the film thickness, it was established that the surface conduction contributions to electron transport were dominant. It was found that the current fluctuations have the noise spectral density S1 ∞ l/f (where f is the frequency) for the frequency range up to 10 kHz. The obtained noise data are important for transport experiments with topological insulators and for any proposed device applications of these materials. © 2011 Materials Research Society.

关键词： Thin films

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Accelerating the artificial bee colony algorithm by hardware parallel implementations

Accelerating the artificial bee colony algorithm by hardware...

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2012 IEEE 3rd Latin American Symposium on Circuits and systems, LASCAS 2012

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781467312080

Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal solutions. As a population-based algorithm, the ABC suffers on large execution times specifically for embedded optimization problems with computational limitations. For that we propose a hardware parallel architecture of the opposition-based ABC algorithm (HPOABC) that facilitates the implementation in Field programmable Gate Arrays (FPGAs). Numerical simulations using four well-known benchmark problems demonstrate that the opposition-based approach allows the algorithm to improve its functionality, preserving the swarm diversity. Additionally, synthesis results point outs that the HPOABC architecture is effectively mapped in hardware and is suitable for embedded applications. © 2012 IEEE.

关键词： Global optimization

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Nanoinformatics workshop report: Current resources, community needs and the proposal of a collaborative framework for data sharing and information integration

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Computational science and Discovery 2013年第1期6卷 14008页

作者： Harper, Stacey L. Hutchison, James E. Baker, Nathan Ostraat, Michele Tinkle, Sally Steevens, Jeffrey Hoover, Mark D. Adamick, Jessica Rajan, Krishna Gaheen, Sharon Cohen, Yoram Nel, Andre Cachau, Raul E. Tuominen, Mark Department of Environmental and Molecular Toxicology Oregon State University Corvallis OR United States School of Chemical Biological and Environmental Engineering Oregon State University Corvallis OR United States Department of Chemistry University of Oregon Eugene OR United States Pacific Northwest National Laboratory Richland WA United States RTI International Research Triangle Park NC United States Science and Technology Policy Institute Washington DC United States US Army Engineer Research and Development Center Vicksburg MS United States National Institute for Occupational Safety and Health Morgantown WV United States University Libraries University of Michigan Amherst MA United States Department of Materials Science and Engineering Iowa State University Ames IA United States SAIC Frederick Frederick MD United States Department of Chemical and Biomolecular Engineering University of California Los Angeles CA United States Center for Environmental Implications of Nanotechnology University of California Los Angeles CA United States Advanced Biomedical Computer Center Information Systems Program Frederick National Laboratory for Cancer Research Frederick MD United States Physics Department University of Massachusetts Amherst MA United States

The quantity of information on nanomaterial properties and behavior continues to grow rapidly. Without a concerted effort to collect, organize and mine disparate information coming out of current research efforts, the value and effective use of this information will be limited at best. Data will not be translated to knowledge. At worst, erroneous conclusions will be drawn and future research may be misdirected. Nanoinformatics can be a powerful approach to enhance the value of global information in nanoscience and nanotechnology. Much progress has been made through grassroots efforts in nanoinformatics resulting in a multitude of resources and tools for nanoscience researchers. In 2012, the nanoinformatics community believed it was important to critically evaluate and refine currently available nanoinformatics approaches in order to best inform the science and support the future of predictive nanotechnology. The Greener Nano 2012: Nanoinformatics Tools and Resources Workshop brought together informatics groups with materials scientists active in nanoscience research to evaluate and reflect on the tools and resources that have recently emerged in support of predictive nanotechnology. The workshop goals were to establish a better understanding of current nanoinformatics approaches and to clearly define immediate and projected informatics infrastructure needs of the nanotechnology community. The theme of nanotechnology environmental health and safety (nanoEHS) was used to provide real-world, concrete examples on how informatics can be utilized to advance our knowledge and guide nanoscience. The benefit here is that the same properties that impact the performance of products could also be the properties that inform EHS. From a decision management standpoint, the dual use of such data should be considered a priority. Key outcomes include a proposed collaborative framework for data collection, data sharing and information integration. © 2013 IOP Publishing Ltd.

关键词： Data integration

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Reports of the AAAI 2011 conference workshops

Reports of the AAAI 2011 conference workshops

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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Applying MVC to Evolutionary Acquisition IRPM

Applying MVC to Evolutionary Acquisition IRPM

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2012 International Conference on Smart Grid systems(ICSGS 2012)

作者： Patrick Letouze Mariwaldo G. Caetano Joāo Y. Ishihara David Prata George Brito UFT-Federal University of Tocantins Brazil:Department of Computer Science UnB-University of Brasilia Brazil:Department of Electrical EngineeringPGEA-Program of Post-Graduation in Electronic and Automation Systems Engineering

This work presents a combination of the Model-View-Controller pattern with the Evolutionary Acquisition Interdisciplinary Research Project Management for web services *** intends to promote an increase in productivity and to facilitate interdisciplinary web services *** consists of an independent database for users' feedback that together with technological opportunities and evolving threats considerations may start a new release of the system allowing a dynamic evolution through acquiring new features or correcting errors,but the new release decision is not *** other words,web service evolution is accomplished adding requirements analysis into the Model-View-Controller pattern,which is incorporated into Interdisciplinary Research Project Management.

关键词： Evolutionary acquisition,IRPM,MVC,project management,software engineering,web services.

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Selective gas sensing with a single graphene-on-silicon transistor

Selective gas sensing with a single graphene-on-silicon tran...

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2012 17th IEEE Silicon Nanoelectronics Workshop, SNW 2012

作者： Balandin, A.A. Rumyantsev, S. Liu, G. Shur, M.S. Potyrailo, R.A. Department of Electrical Engineering and Materials Science and Engineering Program Bourns College of Engineering University of California - Riverside Riverside CA 92521 United States Center for Integrated Electronics Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 United States Ioffe Physical-Technical Institute Russian Academy of Sciences St. Petersburg Russia Chemistry and Chemical Engineering GE Global Research Niskayuna NY 12309 United States

ISBN: (纸本)9781467309943

The low-frequency 1/f noise in graphene transistors has been studied extensively owing to the proposed graphene applications in analog devices and communication systems [1-5]. The studies were motivated by the fact that the low-frequency noise can be up-converted by device nonlinearity and contribute to the phase noise of the system. Similarly, the sensor sensitivity is often limited by the electronic low-frequency noise. Therefore, noise is usually considered as one of the main limiting factors for the device or overall system operation. However, the electronic noise spectrum itself can be used as a sensing parameter increasing the sensor sensitivity and selectivity. Here, we show that vapors of different chemicals produce distinguishably different effects on the low-frequency noise spectra of the graphene-on-Si transistor. Our study showed that some gases change the electrical resistance of pristine graphene devices without changing their low-frequency noise spectra while other gases modify the noise spectra by inducing Lorentzian components with distinctive features. The characteristic corner frequency fC of the Lorentzian noise bulges in graphene devices is different for different chemicals and varies from fC=10 - 20 Hz for tetrahydrofuran to f C=1300 - 1600 Hz for chloroform. We tested the selected set of chemicals vapors on different graphene device samples and alternated different vapors for the same samples. The obtained results indicate that 1/f noise in combination with other sensing parameters can allow one to achieve the selective gas sensing with a single pristine graphene transistor. Our method of gas sensing with graphene does not require graphene surface functionalization or fabrication of an array of the devices with each tuned to a certain chemical. The observation of the Lorentzian components in the vapor-exposed graphene can also help in developing an accurate theoretical description of the noise mechanism in graphene. © 2012 IEEE.

关键词： Graphene

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Awareness and Comprehension in Software/systems engineering Practice and Education: Trends and Research Directions

Awareness and Comprehension in Software/Systems Engineering ...

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Brazilian Symposium on Software engineering (SBES)

作者： Marcelo Schots Cl'udia Werner Manoel Mendonça Systems Engineering and Computing Program COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Computer Science Department Federal University of Bahia Rio de Janeiro Brazil

The creation of tools, techniques and methodologies to support the manipulation of large data sets has been receiving special attention of both scientific and industrial communities, in order to discover new ways of dealing with the underlying information, including learning purposes, identification of patterns, decision making support, amongst others. However, making use of computing resources to enhance awareness and understanding of software information and the software itself is still a challenge in software/systems engineering, since it involves the identification of suitable mechanisms, adequate abstractions, and studies on stimulation of the human perceptive and cognitive abilities. This paper presents some of the challenges in this context, based on current trends of software development lifecycle, program comprehension, and software engineering education. At the end, a special focus is given on ongoing research on using and improving current mechanisms for supporting software reuse practices and software comprehension in general.

关键词： Software Software engineering Education Visualization Conferences Industries Data visualization

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