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IEEE Photonics Conference (IPC)

作者： A.J. Lowery M. Premaratne Advanced Computing and Simulation Laboratory (A-çL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC Australia

A semiconductor laser and fiber with three separated Bragg gratings will automatically tune through three wavelengths. We investigate this device using numerical simulations to illustrate the evolution of the spectrum... 详细信息

关键词： Semiconductor lasers Fiber lasers Laser tuning Optical sensors Optical fiber devices Optical fiber sensors Fiber gratings Bragg gratings Numerical simulation Signal generators

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Active photonic circuits and biophotonics at Monash University, Australia

Active photonic circuits and biophotonics at Monash Universi...

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IEEE Photonics Conference (IPC)

作者： A.J. Lowery M. Premaratne Advanced computing and Simulation Laboratory (AXL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC Australia

We outline the research and development taking place at Monash University, Melbourne, Australia, in the fields of active photonic circuit design and simulation, and biophotonics.

关键词： Circuits Biophotonics Optical packet switching Optical signal processing Optical filters Computational modeling Biomedical optical imaging High speed optical techniques Optical saturation Fiber lasers

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Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems

Inverse kinematics learning for robotic arms with fewer degr...

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2005 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： E. Oyama T. Maeda J.Q. Gan E.M. Rosales K.F. MacDorman S. Tachi A. Agah National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Human and Information Science Laboratory NTT Communication Science Laboratories Atsugi Kanagawa Japan Department of Computer Science University of Essex Colchester UK Department of Adaptive Machine Systems Osaka University Suita Osaka Japan School of Engineering University of Tokyo Bunkyo Tokyo Japan Department of Electrical Engineering and Computer Science University of Kansas Lawrence KS USA

Artificial neural networks have been traditionally employed to learn and compute the inverse kinematics of a robotic arm. However, the inverse kinematics model of a typical robotic arm with joint limits is a multi-valued and discontinuous function. Because it is difficult for a multilayer neural network to approximate this type of function, an accurate inverse kinematics model cannot be obtained by using a single neural network. In order to overcome the difficulties of inverse kinematics learning, we propose a novel modular neural network system that consists of a number of expert modules, where each expert approximates a continuous part of the inverse kinematics function. The proposed system selects one appropriate expert whose output minimizes the expected position/orientation error of the end-effector of the arm. The system can learn a precise inverse kinematics model of a robotic arm with equal or more degrees of freedom than that of its end-effector. However, there are robotic arms with fewer degrees of freedom, where the system cannot learn their precise inverse kinematics model. We have adopted a modified Gauss-Newton method for finding the least-squares solution to address this issue. Through the modifications presented in this paper, the improved modular neural network system can obtain a precise inverse kinematics model of a general robotic arm.

关键词： Kinematics Robots Arm Neural networks Artificial neural networks Multi-layer neural network computer networks Newton method Least squares methods Recursive estimation

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Journal of information Science and engineering: Editorial notice

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Journal of information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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Support for data-intensive, variable-granularity grid applications via distributed file system virtualization - a case study of light scattering spectroscopy

Support for data-intensive, variable-granularity grid applic...

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International Workshop on Challenges of Large Applications in Distributed Environments

作者： J. Paladugula Ming Zhao R.J. Figueiredo Advanced Computing and Information Systems (ACIS) Laboratory Department of Electrical and Computer Engineering University of Florida USA

A key challenge faced by large-scale, distributed applications in grid environments is efficient, seamless data management. In particular, for applications that can benefit from access to data at variable granularities, data management can pose additional programming burdens to an application developer. This work presents a case for the use of virtualized distributed file systems as a basis for data management for data-intensive, variable-granularity applications. The approach leverages on-demand transfer mechanisms of existing, de-facto network file system clients and servers that support transfers of partial data sets in an application-transparent fashion, and complement them with user-level performance and functionality enhancements such as caching and encrypted communication channels. The paper uses a nascent application from the medical imaging field (light scattering spectroscopy -LSS) as a motivation for the approach, and as a basis for evaluating its performance. Results from performance experiments that consider the 16-processor parallel execution of LSS analysis and database generation programs show that, in the presence of data locality, a virtualized wide-area distributed file system setup and configured by grid middleware can achieve performance levels close (13% overhead or less) to that of a local disk, and superior (up to 680% speedup) to nonvirtualized distributed file systems.

关键词： File systems Application virtualization Light scattering Spectroscopy Large-scale systems Environmental management File servers Network servers Cryptography Communication channels

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Distributed file system support for virtual machines in grid computing 04

Distributed file system support for virtual machines in grid...

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International Symposium on High Performance Distributed computing

作者： Ming Zhao Jian Zhang R. Figueiredo Advanced Computing and Information Systems Laboraioiy (ACIS) Electrical and Computer Engineering University of Florida Gainesville FL USA

This paper presents a data management solution which allows fast virtual machine (VM) instantiation and efficient run-time execution to support VMs as execution environments in grid computing. It is based on novel distributed file system virtualization techniques and is unique in that: 1) it provides on-demand access to VM state for unmodified VM monitors; 2) it supports user-level and write-back disk caches, per-application caching policies and middleware-driven consistency models; and 3) it supports the use of meta-data associated with files to expedite data transfers. The paper reports on its performance in a WAN setup using VMware-based VMs. Results show that the solution delivers performance over 30% better than native NFS and can bring application-perceived overheads below 10% relatively to a local disk setup. The solution also allows a VM with 1.6GB virtual disk and 320MB virtual memory to be cloned within 160 seconds when it is first instantiated (and within 25 seconds for subsequent clones).

关键词： File systems Virtual machining Grid computing Virtual manufacturing Voice mail Cloning Middleware Buffer storage Tiles information systems

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Double-constrained optimization of optical component selection problem using genetic elitism and double string coding

Double-constrained optimization of optical component selecti...

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International Conference on Numerical Simulation of Optoelectronic Devices, (NUSOD)

作者： M.A. Dallaali M. Premaratne Advanced Computing and Simulation Laboratory (AXL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC Australia

The genetic elitism and double string coding were used to solve the optical component problem. For the first time, two constraints were applied where both were combined together using a merging function. The results s... 详细信息

关键词： Optical devices Attenuation Constraint optimization Cost function Genetic mutations Computational modeling computer simulation Laboratories Genetic engineering systems engineering and theory

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The Healthgrid White Paper 3

The Healthgrid White Paper

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3rd Annual Conference of the Healthgrid Association, Healthgrid 2005

作者： Breton, Vincent Dean, Kevin Solomonides, Tony Aloisio, Giovanni Benkner, Siegfried Bilofsky, Howard Blanquer, Ignacio Brady, Michael Cannataro, Mario Chouvarda, Ioanna Claerhout, Brecht De Moor, Georges De Neve, Wilfried De Wagter, Carlos Fiore, Sandro Hassan, Kinda Heeren, Germaine Hernández, Vicente Herveg, Jean A.M. Hofmann, Martin Jones, Chris Koutkias, Vassilios Lloyd, Sharon Lonsdale, Guy Alonso, Victoria L. Maglaveras, Nicos Maigne, Lydia Malousi, Andigoni Martín-Sánchez, Fernando McClatchey, Richard Medico, Enzo Miguet, Serge Mirto, Maria Montagnat, Johan Nørager1, Sofie Nozaki, Kazunori Oliveira, Ilídio Castro Pennec, Xavier Poullet, Yves Merino, Juan Pedro Sánchez Strizh, Irina G. Taillet, Michel Tristram, Clive Tverdokhlebov, Nikolay Veltri, Pierangelo Ziegler, René CNRS-IN2P3 LPC Campus des Cézeaux AubiereCedex63177 France Internet Business Solutions Group Cisco Systems 9 New Square Bedfont Lakes Middlesex FelthamTW14 8HA United Kingdom University of the West of England Bristol CEMS Coldharbour Lane BristolBS6 6TH United Kingdom Center for Advanced Computational Technologies ISUFI Dept. of Innovation Engineering University of Lecce Via per Monteroni Lecce73100 Italy Institute of Scientific Computing University of Vienna Nordbergstrasse 15 ViennaA-1090 Austria University of Pennsylvania School of Engineering and Applied Science Computer and Information Science Center for Bioinformatics 1416 Blockley Hall 423 Guardian Drive PhiladelphiaPA19104-6021 United States Universidad Politecnica de Valencia Camino de Vera/n Valencia46022 Spain FRS FREng Dept. of Engineering Science Oxford University Parks Road OxfordOX1 3PJ United Kingdom Magna Graecia University of Catanzaro School of Bioinformatics and Biomedical Engineering Campus di Germaneto Viale Europa Germaneto Catanzaro88100 Italy Aristotle University The Medical School Lab of Medical Informatics Box 323 Thessaloniki54124 Greece Custodix NV Verlorenbroodstraat 120 Bus 14 MerelbekeB-9820 Belgium Research in Advanced Medical Informatics and Telematics UZ Gent 5K3 De Pintelaan 185 GentB9000 Belgium Department of Radiotherapy Ghent University Hospital Building P7 De Pintelaan 185 GentB-9000 Belgium Laboratoire LIRIS Université Lumière Lyon 2 Campus Porte des Alpes 5 avenue Pierre Mendès France Bron69676 France av. E.Mounierlaan 83 Brussels1200 Belgium Faculté de Droit de Namur - FUNDP Centre de Recherches Informatiques & Droit 5 rempart de la Vierge Namur5000 Belgium Schloss Birlinghoven Sankt Augustin53754 Germany CERN Geneva 231211 Switzerland Oxford University Computing Laboratory Wolfson Building OxfordOX1 3QD United Kingdom C&C Research Laboratories NEC Europe Ltd. Rathausallee 10 Sankt AugustinD-53757 Germany Medic

ISBN: (纸本)158603510X

Over the last four years, a community of researchers working on Grid and High Performance computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th–17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens’ health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th–30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid tec

关键词： Health risks

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Experiential telepresence: How can telepresence research be guided towards better end user experience?

Experiential telepresence: How can telepresence research be ...

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2003 ACM SIGMM Workshop on Experiential Telepresence, ETP '03

作者： Hayes-Roth, Barbara Henderson, Austin Jain, Ramesh Manovich, Lev Welch, Greg Pingali, Gopal Extempo Systems Inc. United States MIT United States Systems Laboratory in the Advanced Concepts and Technology Group of Pitney Bowes United States School of Electrical and Computer Engineering College of Computing Georgia Institute of Technology United States Department of Computer Science and Engineering University of Michigan Ann Arbor MI United States University of California San Diego CA United States Visual Arts Department University of California San Diego CA United States Computer Science Department University of North Carolina Chapel Hill NC United States IEEE Computer Society ACM United States IBM T.J. Watson Research Center 19 Skyline Drive Hawthorne NY 10532 United States

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Affecting the accuracy of an active vision head 2nd

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2nd Hellenic Conference on Artificial Intelligence, SETN 2002

作者： Gasteratos, Antonios Sandini, Giulio Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace XanthiGR-671 00 Greece Laboratory for Integrated Advanced Robotics Department of Communication Computer and System Sciences University of Genoa Viale Causa 13 GenoaI-16145 Italy

ISBN: (纸本)3540434720

In any measuring system the categorization of the error generation factors leads to simplification of complex error problems and to higher suppression of the error. In this paper we categorize, quantify and analyze the errors that affect a binocular active vision head. Simulations have been made and experimental results on a high resolution pan-tilt-vergence mechanism are also proposed. As a conclusion it can be said that the system performs optimal when it is initialized so that the two cameras are perfectly aligned and perpendicular to the baseline. Small variations in the vergence angle or small horizontal deviations of the principal point alters the measurement dramatically. On the other hand, variations in pan and tilt and vertical deviations of the principal point, affect the measurement insignificantly. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Errors

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