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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Guilherme Paim Leonardo Soares Julio F. R. Oliveira Eduardo Costa Sergio Bampi Electronic Engineering - Engineering Center (CEng) Federal University of Pelotas (UFPel) Graduate Program in Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil

ISBN: (纸本)9781509061143

This paper presents an power-efficient imprecise radix-4 multiplier applied to filtering Hi-Res (High Resolution) audio. The proposed multiplier was based on an imprecise 2×2 (m=2) multiplication block in order to implement optimized 2's complement radix-2 m array multipliers. The imprecise 2×2 multiplication block was previously proposed in literature, and presents as main characteristic a tunable error that enables the building of an imprecise radix-4 multiplier with a reduced number of logic gates. Since in the radix-2 m multiplier architecture the operands are split into groups of m bits, then, the m=2 imprecise multiplier is used as a basic component in its structure. Our work deals with different levels of approximation in the radix-2 m multiplier. We present four different approximate radix-4 multipliers architectures to be used in sequential FIR filters implemented in hardware. The filters are described in VHDL and synthesized for ASIC in Cadence RTL Compiler tool using Nangate 45nm standard cells. The power reports are evaluated using real input vectors from Hi-Res audio sequences in order to obtain valid power dissipation results. The imprecise FIR filters present area and power reductions of up to 5.7% and 12.5% when compared to the precise designs without compromising the Signal to Noise Ratio (SNR) of recorded 24-bit@192kHz Hi-Res audio signals.

关键词： Finite impulse response filters Signal to noise ratio Computer architecture Logic gates MATLAB Periodic structures Power dissipation

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Exploiting approximate adder circuits for power-efficient Gaussian and Gradient filters for Canny edge detector algorithm

Exploiting approximate adder circuits for power-efficient Ga...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Julio de Oliveira Leonardo Soares Eduardo Costa Sergio Bampi Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil Graduare Program on Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

This paper proposes the exploration of approximate adders for the implementation of power-efficient Gaussian and Gradient filters for Image Processing. The Gaussian filter is a convolution operator which is used to blur images and to remove noise. On the other hand, the Gradient of an image measures how it is changing. Both blocks can be designed in hardware using only shifts and additions. In this work we exploit a set of approximate adders in order to implement energy-efficient filters. The tree of adders of Gaussian and Gradient filters are implemented using one RCA-based approximate adder, as well as an Error-Tolerant Adder ETAI. The approximate architectures are compared to the best precise implementation of the filters. As the Gaussian and Gradient blocks are part of the Canny edge detector algorithm, we have implemented the adder trees of the filters aiming this application. Our main results show that for an efficient power realization of this algorithm, the best strategy consists in the implementation of the Gaussian filter with ETA I adder, and the Gradient filter with the RCA-based adder.

关键词： Adders Filtering algorithms Image edge detection Computer architecture Detectors Kernel

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Connections among university faculty engaged in the first two years of engineering and their impact on faculty attitudes and practice 123

Connections among university faculty engaged in the first tw...

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123rd ASEE Annual Conference and Exposition

作者： Middleton, James A. Krause, Stephen J. Judson, Eugene Culbertson, Robert J. Ross, Lydia Hjelmstad, Keith D. Park, Yong-Seok Collofello, James Smith, Bethany B. Department of Mechanical and Aerospace Engineering United States Center for Research on Education in Science Mathematics Engineering and Technology Arizona State University United States Materials Science Program Fulton School of Engineering Arizona State University United States Arizona State University Mary Lou Fulton Teachers College United States Department of Physics United States Arizona State University Department of Civil Engineering School of Sustainable Engineering and the Built Environment United States Arizona State University Department of Computer Science and Engineering School of Computing Informatics and Decision Systems Engineering Ira A. Fulton Schools of Engineering United States

This research paper examined the connectedness of STEM faculty to others both within and across academic departments who might be potential resources for diffusion of Learner-centered practices, and the impact of participants' social networks on their Learner-centered beliefs and practices. The research question under investigation was: To what extent is the degree of social connectedness among faculty within and among STEM departments related to the degree of implementation of Learner-centered practices? Participants were recruited from Physics, Chemistry, Mathematics departments, and from departments in the College of engineering. The sample began with 21 randomly-selected faculty from each department engaged in the STEM instruction of first and second year engineering students. The second level consisted of the colleagues identified by the first level as people they utilize as resources for improving their instruction. The connectedness of faculty in the network was examined using network analysis, focusing on both number of connections, and depth of connections. Attitude and Observation Protocol measures were used as outcomes. Results show that faculty classified as Learner-Centered had deeper and more extensive social networks. Results are discussed in terms of the need for intra- and inter-departmental faculty professional development experiences that both introduce and encourage faculty to trial new tools and techniques, but that also run for the longterm, supporting collaborative organizations of faculty working together to transform early engineering experiences. © American Society for engineering Education, 2016.

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A novel pruned-based algorithm for energy-efficient SATD operation in the HEVC coding

A novel pruned-based algorithm for energy-efficient SATD ope...

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Symposium on Integrated Circuits and Systems Design (SBCCI)

作者： Leonardo Bandeira Soares Cláudio Machado Diniz Eduardo Antonio César da Costa Sergio Bampi Graduate Program on Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Graduate Program on Electronic Engineering and Computing (PPGEEC) Catholic University of Pelotas (UCPEL) Pelotas Brazil

This paper proposes a novel approximate computing algorithm for the Sum of Absolute Transformed Differences (SATD) to meet energy efficiency in CMOS accelerator circuits. It is based on the pruning of least significant coefficients in the 2-D Hadamard Transform (HT) which is the most compute intensive kernel in the SATD. The SATD is a metric for block matching that is used in video coding standards like the new High Efficiency Video Coding (HEVC). This metric is used to provide better results in mode decision when compared to the Sum of Absolute Differences (SAD) at the expense of larger amount of arithmetic operations as well as higher energy consumption. We present 6 different approximate SATD 4×4 architectures that were synthesized for a 45 nm PDK. Results for the approximate architecture with 10 discarded HT coefficients show energy per operation reduction of 70.7% and BD-PSNR reduction of just -0.008 dB, for a 1080p video sequence.

关键词： Transforms Approximation algorithms Computer architecture Energy efficiency Video coding Computational efficiency Approximate computing

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Modelling and solving university course timetabling problems through XHSTT 11

Modelling and solving university course timetabling problems...

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11th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2016

作者： Fonseca, George H.G. Santos, Haroldo G. Carrano, Eduardo G. Stidsen, Thomas J.R. Department of Computing and Information Systems Federal University of Ouro Preto St. Diogo de Vasconcelos 328 Ouro Preto MG35400-000 Brazil Department of Computing Federal University of Ouro Preto St. Diogo de Vasconcelos 328 Ouro Preto MG35400-000 Brazil Graduate Program in Electrical Engineering Federal University of Minas Gerais Av. Antônio Carlos 6627 Belo Horizonte MG31270-901 Brazil Department of Management Engineering Technical University of Denmark Produktionstorvet Kgs. LyngbyDK-2800 Denmark

ISBN: (纸本)9780992998417

The XHSTT was proposed as a standard format to express a wide range of School Timetabling problems. Although the format is powerful to represent different timetabling features, its application to University Course Timetabling (UCT) problems was not formally studied. The goal of this work is to present encodings from Curriculum-Based Course Timetabling (CB-CTT) and Post-Enrolment Course Timetabling (PE-CTT) to XHSTT and to evaluate how a state-of-art XHSTT solver performs on these problems. Computational experiments performed suggested that this approach is suitable for dealing with UCT: XHSTT solver would be ranked as fourth in CB-CTT track of the Second International Timetabling Competition (ITC2007) and it achieved feasible solutions for most PE-CTT instances within one hour. Although the results do not outperform the best known approaches for these problems, XHSTT solvers were designed to handle a wide range of features and constraints beyond the ones present in these models, making it able to fit the specific requirements of several universities. © PATAT *** rights reserved.

关键词： Curricula

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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On computational uid dynamics models for sinonasal drug transport: Relevance of nozzle subtraction and nasal vestibular dilation

arXiv

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arXiv 2017年

作者： Basu, Saikat Frank-Ito, Dennis O. Kimbell, Julia S. Computing and Clinical Research Lab Department of Otolaryngology/Head and Neck Surgery University of North Carolina School of Medicine Chapel HillNC27599 United States Div. of Head and Neck Surgery and Communication Sciences Duke University Medical Center DurhamNC27710 United States Computational Biology and Bioinformatics Program Duke University DurhamNC27708 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States

Generating anatomically realistic three-dimensional (3D) models of the human sinonasal cavity for numerical investigations of sprayed drug transport presents a host of methodological ambiguities. For example, subject-specific radiographic images used for 3D reconstructions typically exclude spray bottles. Subtracting a bottle contour from the 3D airspace and dilating the anterior nasal vestibule for nozzle placement augment the complexity of model-building. So, we explored the question: How essential are these steps to adequately simulate nasal airow and identify the optimal delivery conditions for intranasal sprays? In particular, we focused on particle deposition patterns in the maxillary sinus, a critical target site for chronic rhinosinusitis (CRS). The models were reconstructed from post-surgery computed tomography scans for a 39-year-old Caucasian male, with CRS history. Inspiratory airow patterns during resting breathing are reliably tracked through CFD-based steady state laminar-viscous modeling and such regimes portray relative lack of sensitivity to inlet perturbations. Consequently, we hypothesized that the posterior airow transport and the particle deposition trends should not be radically affected by the nozzle subtraction and vestibular dilation. The study involved 1 base model and 2 derived models;the latter two with nozzle contours (two different orientations) subtracted from the dilated anterior segment of the left vestibule. We analyzed spray transport in the left maxillary sinus for multiple release conditions. Similar release points, localized on an approximately 2mm-by-4.5mm contour, facilitated improved maxillary deposition in all three test cases. This suggests functional redundancy of nozzle insertion in a 3D numerical model for identifying the optimal spray release locations. Copyright © 2017, The Authors. All rights reserved.

关键词： Computerized tomography

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Anytime RRBT for handling uncertainty and dynamic objects

Anytime RRBT for handling uncertainty and dynamic objects

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hyunchul Yang Jongwoo Lim Sung-eui Yoon Robotics Program KAIST Daejeon South Korea Division of Computer Science and Engineering Hanyang University Seoul South Korea School of Computing KAIST Daejeon South Korea

ISBN: (纸本)9781509037636

We present an efficient anytime motion planner for mobile robots that considers both other dynamic obstacles and uncertainty caused by various sensors and low-level controllers. Our planning algorithm, which is an anytime extension of the Rapidly-exploring Random Belief Tree (RRBT), maintains the best possible path throughout the robot execution, and the generated path gets closer to the optimal one as more computation resources are allocated. We propose a branch-and-bound method to cull out unpromising areas by considering path lengths and uncertainty. We also propose an uncertainty-aware velocity obstacle as a simple local analysis to avoid dynamic obstacles efficiently by finding a collision-free velocity. We have tested our method with three benchmarks that have non-linear measurement regions or potential collisions with dynamic obstacles. By using the proposed methods, we achieve up to five times faster performance given a fixed path cost.

关键词： Uncertainty Mobile robots LOW LEVEL Byways Branch and bound methods barriers

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Pathological Consequences of Altered Hemodynamics During Heart Valve Development

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Microscopy and Microanalysis 2016年第S3期22卷 1062-1063页

作者： Vinal Menon Lorain Junor John Eberth Marwa Belhaj Jay Potts Department of Cell Biology and Anatomy School of Medicine University of South Carolina Columbia USA Instrumentation Resource Facility School of Medicine University of South Carolina Columbia USA Biomedical Engineering Program College of Engineering and Computing University of South Carolina Columbia USA

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Author Correction: Proton acceleration in thermonuclear nova explosions revealed by gamma rays

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Nature Astronomy 2022年 760页

作者： V. A. Acciari J. Becerra González E. Colombo R. J. García López J. Herrera A. López-Oramas C. Maggio V. Moreno M. Nievas Rosillo J. Otero-Santos G. Vanzo M. Vazquez Acosta S. Ansoldi B. De Lotto A. Donini F. Longo D. Miceli M. Palatiello M. Persic L. A. Antonelli C. Bigongiari S. Covino V. D’Elia F. Dazzi A. Lamastra F. Leone S. Lombardi L. Maraschi L. Nava S. Paiano C. Righi F. G. Saturni A. Stamerra F. Tavecchio A. Tutone A. Biland S. Fukami M. Artero O. Blanch S. M. Colak M. Delfino J. Delgado E. Do Souto Espiñeira L. Fariña Alonso L. Jouvin D. Kerszberg M. Martínez A. Moralejo E. Moretti C. Nigro C. Priyadarshi J. Rico K. Asano D. Hadasch M. Hütten T. Inada Y. Iwamura Y. Kobayashi D. Mazin K. Noda Y. Ohtani T. Saito S. Sakurai J. Sitarek M. Strzys M. Takahashi R. Takeishi M. Teshima I. Vovk D. Baack H. Bökenkamp D. Elsaesser A. Fattorini L. Linhoff S. Mender W. Rhode K. Schmidt A. Babić Ž. Bošnjak S. Cikota A. Baquero J. A. Barrio J. L. Contreras M. V. Fonseca J. Hoang M. López-Moya A. Mas Aguilar T. Miener D. Morcuende P. Peñil U. Barres de Almeida B. Machado de Oliveira Fraga I. Batković M. Bernardos G. Busetto A. De Angelis M. Doro R. López-Coto M. Mallamaci M. Mariotti E. Prandini A. Spolon W. Bednarek P. Gliwny K. Ishio D. Sobczynska L. Bellizzi S. Menchiari J. M. Miranda R. Paoletti S. Truzzi S. Ventura C. Wunderlich E. Bernardini W. Bhattacharyya M. Garczarczyk K. Satalecka A. Arbet Engels A. Berti J. Besenrieder G. Ceribella Y. Chai G. D’Amico C. Fruck J. G. Green D. Green A. Hahn L. Heckmann R. Mirzoyan D. Paneque M. Pihet T. Schweizer D. Strom J. van Scherpenberg M. Will G. Bonnoli R. Carosi P. Da Vela P. G. Prada Moroni A. Rugliancich M. Cerruti E. Molina J. M. Paredes M. Ribó A. Chilingarian J. Cortina C. Delgado Mendez T. Hassan I. Jiménez Martínez A. Del Popolo D. Depaoli F. Di Pierro C. F. Vigorito L. Di Venere N. Giglietto F. Giordano S. Loporchio D. Dominis Prester M. Manganaro S. Mićanović L. Pavletić T. Terzić D. Dorner K. Mannheim B. Schleicher V. Fallah Ramazani J. Jormanainen E. Lindfors Instituto de Astrofísica de Canarias and Dpto. de Astrofísica Universidad de La Laguna La Laguna Tenerife Spain Departament de Física and CERES-IEEC Universitat Autònoma de Barcelona Bellaterra Spain Università di Udine and INFN Trieste Udine Italy International Center for Relativistic Astrophysics (ICRA) Rome Italy Dipartimento di Fisica Università di Trieste Trieste Italy Laboratoire d’Annecy de Physique des Particules (LAPP) CNRS-IN2P3 Annecy Cedex France INAF Trieste and Dept. of Physics and Astronomy University of Bologna Bologna Italy National Institute for Astrophysics (INAF) Rome Italy ETH Zürich Zürich Switzerland Institut de Física d’Altes Energies (IFAE) The Barcelona Institute of Science and Technology (BIST) Bellaterra Barcelona Spain Port d’Informació Científica (PIC) Bellaterra Barcelona Spain Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR) The University of Tokyo Kashiwa Chiba Japan Max-Planck-Institut für Physik München Germany Technische Universität Dortmund Dortmund Germany Croatian MAGIC Group: University of Zagreb Faculty of Electrical Engineering and Computing (FER) Zagreb Croatia IPARCOS Institute and EMFTEL Department Universidad Complutense de Madrid Madrid Spain Department of Astronomy University of California Berkeley Berkeley CA USA Centro Brasileiro de Pesquisas Físicas (CBPF) Rio de Janeiro RJ Brazil Università di Padova and INFN Padova Italy University of Lodz Faculty of Physics and Applied Informatics Department of Astrophysics Lodz Poland Università di Siena and INFN Pisa Siena Italy Deutsches Elektronen-Synchrotron (DESY) Zeuthen Germany Department for Physics and Technology University of Bergen Bergen Norway Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada Spain Università di Pisa and INFN Pisa Pisa Italy University of Innsbruck Innsbruck Austria Universitat de Barcelona ICCUB IEEC-UB Barcelona Spain Armenian MAGIC Group: A. Alikhanyan National Science Labo

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