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Medical Imaging 2009: Physics of Medical Imaging

作者： Chen, Ying Zhou, Weihua Yang, Guang Qian, Xin Lu, Jianping Zhou, Otto Dept. of Electrical and Computer Engineering Southern Illinois University Carbondale IL 62901 United States Biomedical Engineering Graduate Program Southern Illinois University Carbondale IL 62901 United States Dept. of Physics and Astronomy and Curriculum in Applied Sciences and Engineering University of North Carolina Chapel Hill NC 27599 United States Lineberger Comprehensive Cancer Center University of North Carolina Chapel Hill NC 27599 United States

ISBN: (纸本)9780819475091

As a new three-dimensional breast imaging technique, breast tomosynthesis allows the reconstruction of an arbitrary set of planes in the breast from a limited-angle series of x-ray projection images. The breast tomosynthesis technique has been demonstrated as promising to improve early breast cancer detection. This paper represents a preliminary phantom study and computer simulation results of different breast tomosynthesis reconstruction algorithms with a novel carbon nanotube based multi-beam x-ray source. Five representative tomosynthesis reconstruction algorithms, including back projection (BP), filtered back projection (FBP), matrix inversion tomosynthesis (MITS), maximum likelihood expectation maximization (MLEM), and simultaneous algebraic reconstruction technique (SART) were investigated. Tomosynthesis projection images of a phantom were acquired with the stationary multi-beam x-ray tomosynthesis system. Reconstruction results from different algorithms were studied. A computer simulation study was further done to investigate the sharpness of reconstructed in-plane structures and to see how effective each algorithm is at removing outof- plane blur with parallel-imaging geometries. Datasets with 9 and 25 projection images of a defined 3D spherical object were simulated with a total view angle of 50 degrees. Results showed that the multi-beam x-ray system is capable to generate 3D tomosynthesis images with faster speed compared with current commercial prototype systems. With simulated parallel-imaging geometry, MITS and FBP showed edge enhancement in-plane performance. BP, FBP and MLEM performed better at out-of-plane structure removal with larger number of projection images. © 2009 SPIE.

关键词： Carbon nanotubes

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An agent framework to support sensor networks' setup and adaptation

An agent framework to support sensor networks' setup and ada...

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International Multiconference on computer Science and Information Technology, IMCSIT

作者： Edison Pignaton de Freitas Flávio Rech Wagner Tales Heimfarth Carlos Eduardo Pereira Armando Morado Ferreira Tony Larsson IDE - Halmstad University Sweden Computer Science Department UFLA Lavras Brazil Institute of Informatics UFRGS Porto Alegre Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil IDE - Halmstad University Halmstad Sweden

Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users' requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented.

关键词： Middleware Image sensors computer networks Communication system control Energy resources Decision making

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Controller design to regulate the DC voltage of a VSC converter

Controller design to regulate the DC voltage of a VSC conver...

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IEEE Canada Electric Power Conference, EPEC

作者： Carlos A. Hidalgo Mora Nelson L. Diaz Laboratorio de Investigacion en Fuentes Alternativas de Engergia LIFE of Universidad Distrital F J C Bogota Colombia Department of Electrical and Computer Engineering Graduate Program in Engineering-Industrial Automation LIFAE Universidad Nacional de Colombia Bogota Colombia

ISBN: (纸本)9781424445080;9781424445097

The basic function of VSCs is to convert the DC voltage stored in a capacitor into AC voltages or AC voltages into DC voltage. One of the advantages of the VSC is that this kind of electronic converters allow to control the active and reactive power flow with an ac-grid independently. This paper presents a short analysis of the characteristics and dynamic of VSC-HVDC, identification techniques to find transfer function to DC Voltage and Reactive Power in a rectifier station are explored, and finally controller design to regulate the DC voltage is exposed and tested by simulations using Matlab Simulink and its toolbox SimpowerSystems.

关键词： Voltage control Converters Power conversion Reactive power control Rectifiers Inverters Virtual colonoscopy Reactive power HVDC transmission Power system reliability

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Identification of cell cycle-related regulatory motifs using a kernel canonical correlation analysis

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BMC Genomics 2009年第SUPPL. 3期10卷 1-10页

作者： Rhee, Je-Keun Joung, Je-Gun Chang, Jeong-Ho Fei, Zhangjun Zhang, Byoung-Tak Graduate Program in Bioinformatics Seoul National University Seoul 151-744 South Korea Center for Biointelligence Technology (CBIT) Seoul National University Seoul 151-744 South Korea Boyce Thompson Institute for Plant Research Cornell University Ithaca NY 14853 United States Konan Technology Inc Seoul 135-080 South Korea USDA Robert W. Holley Center for Agriculture and Health Ithaca NY 14853 United States School of Computer Science and Engineering Seoul National University Seoul 151-744 South Korea

Background: Gene regulation is a key mechanism in higher eukaryotic cellular processes. One of the major challenges in gene regulation studies is to identify regulators affecting the expression of their target genes in specific biological processes. Despite their importance, regulators involved in diverse biological processes still remain largely unrevealed. In the present study, we propose a kernel-based approach to efficiently identify core regulatory elements involved in specific biological processes using gene expression profiles. Results: We developed a framework that can detect correlations between gene expression profiles and the upstream sequences on the basis of the kernel canonical correlation analysis (kernel CCA). Using a yeast cell cycle dataset, we demonstrated that upstream sequence patterns were closely related to gene expression profiles based on the canonical correlation scores obtained by measuring the correlation between them. Our results showed that the cell cycle-specific regulatory motifs could be found successfully based on the motif weights derived through kernel CCA. Furthermore, we identified co-regulatory motif pairs using the same framework. Conclusion: Given expression profiles, our method was able to identify regulatory motifs involved in specific biological processes. The method could be applied to the elucidation of the unknown regulatory mechanisms associated with complex gene regulatory processes. © 2009 Rhee et al;licensee BioMed Central Ltd.

关键词： Canonical Correlation Analysis Regulatory Motif Upstream Sequence Gene Expression Dataset Yeast Cell Cycle

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Time Series Mining Approach for Noninvasive Intracranial Pressure Assessment: An Investigation of Different Regularization Techniques

Time Series Mining Approach for Noninvasive Intracranial Pre...

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computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Shaozhi Wu Peng Xu Shadnaz Asgari Marvin Bergsneider Xiao Hu Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles USA Neural Systems and Dynamics Laboratory Department of Neurosurgery the David Geffen School of Medicine University of California Los Angeles USA School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China

A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and flow velocity (FV) is translated to the estimated errors by the mapping function for each entry in the database. In this paper, three different mapping function solutions, linear least squares (LLS), truncated singular value decomposition (TSVD) and standard Tikhonov regularization (STR) are systemically tested to compare the possible effects of different solutions on the non-invasive ICP estimation. The conducted comparison demonstrated that the selection of mapping function solution actually influences the estimation. Among the tested three solutions for mapping function, TSVD and STR show better ICP estimation performance with smaller ICP errors than LLS.

关键词： Cranial pressure Data mining Biomedical engineering Data engineering Spatial databases computer science Feature extraction Arterial blood pressure Biomedical measurements Laboratories

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Identification of cell cycle-related regulatory motifs using a kernel canonical correlation analysis

Identification of cell cycle-related regulatory motifs using...

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8th International Conference on Bioinformatics: Computational Biology, InCoB 2009

作者： Rhee, Je-Keun Joung, Je-Gun Chang, Jeong-Ho Fei, Zhangjun Zhang, Byoung-Tak Graduate Program in Bioinformatics Seoul National University Seoul 151-744 Korea Republic of Seoul National University Seoul 151-744 Korea Republic of Boyce Thompson Institute for Plant Research Cornell University Ithaca NY 14853 United States Konan Technology Inc. Seoul 135-080 Korea Republic of USDA Robert W. Holley Center for Agriculture and Health Ithaca NY 14853 United States School of Computer Science and Engineering Seoul National University Seoul 151-744 Korea Republic of

关键词： Gene expression

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Gratings on porous silicon structures for sensing applications

Gratings on porous silicon structures for sensing applicatio...

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Conference on Lasers and Electro-Optics, CLEO 2009

作者： Liscidini, M. Wei, X. Kang, C. Rong, G. Retterer, S.T. Patrini, M. Sipe, J.E. Weiss, S.M. Department of Physics University of Toronto 60 St. George St Toronto M5S 1A7 ON Canada Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN 37235 United States Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN 37831 United States CNISM and Dipartimento di Fisica 'A. Volta' Università degli Studi di Pavia via Bassi 6 27100 Pavia Italy

We investigate the use of gratings on porous silicon structures for sensing applications. Examples of two classes of systems are studied: grating-coupled waveguide biosensors, and diffraction-based biosensors. © ... 详细信息

ISBN: (纸本)9781557528698

关键词： Biosensors

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Assembly of CdSeS(ZnS) quantum dots in langmuir films with tertiary alkyl phosphine ligands

Assembly of CdSeS(ZnS) quantum dots in langmuir films with t...

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Nanotechnology - General - 214th ECS Meeting/PRiME 2008

作者： Giles, Alexander J. Pagan, J. Patel, K. Stokes, E.B. Nanoscale Science Graduate Program Department of Chemistry University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Dot Metrics Technologies Charlotte Research Institute University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Department of Electrical and Computer Engineering University of North Carolina at Charlotte 9201 University City Boulevard Charlotte NC 28223 United States Center for Optoelectronics and Optical Communications University of North Carolina al Charlotte 9201 University City Boulevard Charlotte NC 28223 United States

ISBN: (纸本)9781615672998

The focus of this paper is to describe studies on pre-prepared hydrophobic CdSeS(ZnS) quantum dots (QDs) at the air-water interface. Surface pressure-area (π-A) isotherms were extensively studied using QDs capped with either trioclylphosphine oxide or triethylphosphine oxide. The role of these two different ligands on monolayer behavior and thin film quality has been investigated using the Langmuir-Blodgett (LB) technique. The thin films were characterized by scanning electron microscopy (SEM), fluorescence spectroscopy, and UV-vis spectroscopy. ©The Electrochemical Society.

关键词： Cadmium compounds

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Abstracts from the 2011 Joint Annual Meeting of the Society for Northwestern Vertebrate Biology and Washington Chapter of the Wildlife Society, Held at the Wesley Inn, Gig Harbor, Washington, March 23–25, 2011

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Northwestern Naturalist 2011年第2期92卷 136-166页

作者： Michael J. Adams Christopher A. Pearl Jessica Y. Adkins Daniel D. Roby Ladd Bayliss Peter J. Loschl Donald E. Lyons Yasuko Suzuki Hannah E. Anderson Sarah T. Hamman Keith B. Aubry Catherine M. Raley John J. Rohrer Eric C. Lofroth Scott H. Fitkin Michael L. Best Hartwell H. Welsh Jamie B. Bettaso Don T. Ashton Hartwell H. Welsh Scott McBain Lindsay M. Biga Andrew R. Blaustein Susan F. Brady R. Steven Wagner Daniel J. Selski James E. Johnson R. Bruce Bury Wynn W. Cudmore Hartwell H. Welsh Nathan D. Chelgren Tara Chestnut Chaucney W. Anderson Julie Kirshtein Megan T. Cook Tiffany S. Garcia Stephen Corn Erin Muths Amanda Kissel Rick Scherer Eric Delvin Jonathan D. Bakker Peter W. Dunwiddie Diana L. Dishman Deborah A. Duffield Harriet R. Huber Dyanna M. Lambourn Karen M. Dvornich Greg Falxa Gary M. Fellers Patrick M. Kleeman David Miller Brandon Fessler Jason T. Irwin Daniel D. Beck R. Steven Wagner Marc P. Hayes John A. Frew Christian E. Grue Chris R. Friesen Robert T. Mason Stevan J. Arnold Suzanne Estes Tiffany S. Garcia Katie M. Dugger Josh Johnson Mike Rochelle A. J. Kroll Stephanie S. Gervasi Caren S. Goldberg Dan Davis Erica Bree Rosenblum Bill Bosworth Lisette P. Waits Purnima Govindarajulu Gregory A. Green Steve Negri Jennifer R. Griffiths Daniel E. Schindler Christian E. Grue Karen M. Dvornich Adam G. Hansen David A. Beauchamp Casey M. Baldwin Marc P. Hayes Gretchen Padgett-Flohr Blake R. Hossack Winsor H. Lowe Paul Stephen Corn Aaron N. Johnston Kris Kendell Dave Prescott Scott Stevens Peter M. Kiffney Carol Volk Kerensa A. King Christian E. Grue James M. Grassley Andrew J. Kroll Matt Hane Josh Johnston Mike Rochelle Stuart Farber Niels Leuthold Michael J. Adams John P. Hayes Bo Li Michael T. Brett Kent B. Livezey Ilon E. Logan Teresa J. Lorenz Kimberly A. Sullivan Amanda V. Bakian Deanna Lynch Nancy Thomas Krysten Schuler Steven Jeffries Joshua Malt Kelly R. McAllister Joanne P. Schuett-Hames Aimee P. McIntyre Jay E. Jones Eric M. Lund Frithiof T. Waterstrat Jack N. Giovanini Stephen D. Duke Marc P. Hayes US Forest Service Pacific Northwest Research Station Olympia WA 98512 kaubry@fs.fed.us US Forest Service Okanogan-Wenatchee National Forest Methow Valley Ranger District Winthrop WA 98862 British Columbia Ministry of Environment Victoria BC V8W9M1 Washington Department of Fish and Wildlife Winthrop WA 98862 Humboldt State University 1 Harpst St. Arcata CA 95521 addsmike14@*** US Forest Service Pacific Southwest Research Station 1700 Bayside Dr. Arcata CA 95521 hwelsh@fs.fed.us US Fish and Wildlife Service Arcata Field Office 1655 Heindon Road Arcata CA 95521 jamie_bettaso@fws.gov Redwood Sciences Laboratory US Forest Service1700 Bayview Drive Arcata CA 99521 dashton@fs.fed.us hwelsh@fs.fed.us McBain &amp Trush 980 7th Street Arcata CA 95521 scott@*** Oregon State University Environmental Sciences Graduate Program Corvallis OR 97331 lindsay.biga@science.oregonstate.edu Oregon State University Department of Zoology Corvallis OR 97331 US Geological Survey Forest and Rangeland Ecosystem Science Center 3200 SW Jefferson Way Corvallis OR 97331 buryb@usgs.gov Life Science Department Chemeketa Community College Salem OR 97309 wynn.cudmore@chemeketa.edu US Forest Service Redwood Sciences Laboratory 1700 Bayview Drive Arcata CA 95521 hwelsh@fs.fed.us USGS Oregon Water Science Center 2130 SW 5th Avenue Portland OR 97207 chestnut@usgs.gov USGS Headquarters 12201 Sunrise Valley Drive Reston VA 20192 US Geological Survey Northern Rocky Mountain Science Center Aldo Leopold Wilderness Research Institute 790 E. Beckwith Avenue Missoula MT 59801 scorn@usgs.gov US Geological Survey Fort Collins Science Center 2150 Centre Avenue Building C Fort Collins CO 80526 Department of Biological Sciences Simon Fraser University Burnaby BC V5A 1S6 Colorado State University Department of Fishery and Wildlife Biology Fort Collins CO 80523 The Nature Conservancy 120 Union Ave SE Olympia WA 98501 edelvin@tnc.org School of Forest Resources University of Washington Seattle WA

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Improving bilateral negotiation with evolutionary learning

Improving bilateral negotiation with evolutionary learning

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2008 12th International Conference on computer Supported Cooperative Work in Design, CSCWD

作者： Romanhuki, Emerson Fuckner, Marcio Enembreck, Fabrício Ávila, Bráulio Scalabrin, Edson E. PUCPR Pontifical Catholic University of Parana Graduate Program on Applied Computer Science Curitiba PR Brazil

ISBN: (纸本)9781424416509

This paper proposes an approach to generate offers and counter-offers in a bilateral negotiation process between cognitive agents with the learning machine capacities. The approach is configured, as each participant of a negotiation process improve their satisfaction degree, gaining knowledge from prior experience, i.e., in the next negotiation session, each participant can individually use this knowledge to redefine the configuration parameters of strategies and tactics to generate offers and counter-offers. Each agent refines their strategies using a genetic algorithm application based on the historical offers and counter-offer exchanges dataset. This context can lead to a new dimension in CSCW System Development. This approach was tested in a simulated bilateral negotiation environment, which involved, for example, a buyer agent and a seller agent. The discussions about the results confront different negotiation sessions comparing agents provided with strategy and tactics reconfiguration capabilities and agents using static strategies and tactics. © 2008 IEEE.

关键词： Genetic algorithms

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