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2017 International MultiConference of Engineers and computer Scientists, IMECS 2017

作者： Espinoza, Jessica Rodriguez Padilla, Vladimir Sanchez Velasquez, W. Escuela Superior Politécnica del Litoral ESPOL Telematics Engineering Program Campus Gustavo Galindo Km 30.5 Via Perimetral P.O. Box 09-01-5863 Guayaquil Ecuador Escuela Superior Politécnica del Litoral ESPOL Faculty of Electrical and Computer Engineering Campus Gustavo Galindo Km 30.5 Via Perimetral P.O. Box 09-01-5863 Guayaquil Ecuador Escuela Superior Politécnica del Litoral ESPOL Faculty of Electrical and Computer Engineering Campus Gustavo Galindo Km 30.5 Via Perimetral P.O. Box 09-01-5863 Guayaquil Ecuador

ISBN: (纸本)9789881404770

This paper explains the generic function of implanted devices in humans to guarantee communication between patients and medical monitoring centers for emergency cases, analyzing transmission parameters, such as transfer rate, bandwidth used, data addressing, and technology comparison. The proposed architecture consists in bidirectional conveying between a web-based platform and medical external device through an Ultra-Wide Band local network. It presents an IoT architecture with its logical layers, building an infrastructure for different scenarios for patient mobility.

关键词： Network architecture

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A novel approach for ellipsoidal outer-approximation of the intersection region of ellipses in the plane

arXiv

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arXiv 2017年

作者： Yousefi, Siamak Chang, Xiao-Wen Wymeersch, Henk Champagne, Benoit Toussaint, Godfried Department of Electrical and Computer Engineering McGill University MontrealQC Canada School of Computer Science McGill University MontrealQC Canada Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Computer Science Program New York University Abu Dhabi United Arab Emirates

In this paper, a novel technique for tight outer-approximation of the intersection region of a finite number of ellipses in 2-dimensional (2D) space is proposed. First, the vertices of a tight polygon that contains the convex intersection of the ellipses are found in an efficient manner. To do so, the intersection points of the ellipses that fall on the boundary of the intersection region are determined, and a set of points is generated on the elliptic arcs connecting every two neighbouring intersection points. By finding the tangent lines to the ellipses at the extended set of points, a set of half-planes is obtained, whose intersection forms a polygon. To find the polygon more efficiently, the points are given an order and the intersection of the half-planes corresponding to every two neighbouring points is calculated. If the polygon is convex and bounded, these calculated points together with the initially obtained intersection points will form its vertices. If the polygon is non-convex or unbounded, we can detect this situation and then generate additional discrete points only on the elliptical arc segment causing the issue, and restart the algorithm to obtain a bounded and convex polygon. Finally, the smallest area ellipse that contains the vertices of the polygon is obtained by solving a convex optimization problem. Through numerical experiments, it is illustrated that the proposed technique returns a tighter outer-approximation of the intersection of multiple ellipses, compared to conventional techniques, with only slightly higher computational cost. Copyright © 2017, The Authors. All rights reserved.

关键词： Convex optimization

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Highly accurate model for prediction of lung nodule malignancy with ct scans

arXiv

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arXiv 2018年

作者： Causey, Jason Zhang, Junyu Ma, Shiqian Jiang, Bo Qualls, Jake Politte, David G. Prior, Fred Zhang, Shuzhong Huang, Xiuzhen Department of Computer Science Arkansas State University JonesboroAR72467 United States Department of Industrial and Systems Engineering University of Minnesota MinneapolisMN55455 United States Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Shatin N.T. Hong Kong Research Center for Management Science and Data Analytics School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai200433 China Mallinckrodt Institute of Radiology Washington University St. LouisMO63110 United States Department of Biomedical Informatics University of Arkansas for Medical Sciences Little RockAR72205 United States UALR/UAMS Joint Graduate Program in Bioinformatics Little RockAR72204 United States

Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It remains challenging for computational approaches to achieve performance comparable to experienced radiologists. Here we present NoduleX, a systematic approach to predict lung nodule malignancy from CT data, based on deep learning convolutional neural networks (CNN). For training and validation, we analyze >1000 lung nodules in images from the LIDC/IDRI cohort. All nodules were identified and classified by four experienced thoracic radiologists who participated in the LIDC project. NoduleX achieves high accuracy for nodule malignancy classification, with an AUC of ~0.99. This is commensurate with the analysis of the dataset by experienced radiologists. Our approach, NoduleX, provides an effective framework for highly accurate nodule malignancy prediction with the model trained on a large patient population. Our results are replicable with software available at http://***/NoduleX. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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1014 Sleep Monitoring in Mild Cognitive Impairment Using Noninvasive, Under the Sheet Sensors

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Sleep 2018年第SUPPL_1期41卷 A376-A376页

作者： Almaghasilah, A Daigle, K Gilbert, C Sulinski, E Aronis, J Bouchard, A Delp, T Singer, C Abedi, A Hayes, M Electrical and Computer Engineering University of Maine Orono ME Psychological Sciences University of Maine Orono ME Geriatric Neuropsychiatry Program Acadia Hospital Bangor ME Graduate School of Biomedical Sciences & Engineering Orono ME

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Encouraging student innovation in a freshman-level computer science course 123

Encouraging student innovation in a freshman-level computer ...

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123rd ASEE Annual Conference and Exposition

作者： Fry, Cynthia C. Van Treuren, Kenneth W. Computer Science Fellows Program Baylor University United States Department of Engineering Baylor University United States

In a world where the demand is high for employees who can think creatively and apply entrepreneurial behaviors and thought processes to their work, it is critically important for engineering and computer science programs to provide more educational opportunities that take the essential basics of the disciplines and add to that content the experiences that will also encourage the development of entrepreneurial behaviors in students development of solutions to the challenges they face. In a second-semester project-based learning course in computer science at Baylor University, the students were introduced to an idea-generation technique called Painstorming chosen to encourage opportunity recognition, and asked to develop their own idea for a semester project. This paper will cover the success of project-based learning in engineering and computer science courses, show a method of idea generation called Painstorming, the application of Painstorming to software applications as a means to generate group project ideas, the adjustments necessary for the successful implementation of this approach in an already busy course, and the preliminary results of the experiment. © American Society for engineering Education, 2016.

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Designing and implementing an educational intelligent motor control center (IMCC)

Designing and implementing an educational intelligent motor ...

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2016 IEEE Canadian Conference on Electrical and computer engineering, CCECE 2016

作者： Merrick, Samuel L. Paquette, Anthony E. Palizban, Ali Manson, Kathy Saberi, Hassan Bachelors of Electrical and Computer Engineering Program British Columbia Institute of Technology VancouverBC Canada Vancouver Canada

ISBN: (纸本)9781467387217

High efficiency and low costs are requirements for any industrial plant. Advancements in digital technology and integrated components have made it easier to incorporate device level communications and intelligence into any design. Intelligent motor control is not a new concept;intelligent devices are mature technologies accepted throughout industry with well-documented benefits. This paper outlines a less well-documented area: teaching motor control and protection theories through the interactions of a fully integrated, standards-compliant, intelligent motor control center. As well this paper provides a framework for students to learn about the technical requirements and design specifications for building a state-of-the-art Intelligent Motor Control Center (IMCC). © 2016 IEEE.

关键词： Induction motors

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Functional annotation of chemical libraries across diverse biological processes (vol 13, pg 982, 2017)

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NATURE CHEMICAL BIOLOGY 2017年第12期13卷 1286-1286页

作者： Piotrowski, Jeff S. Li, Sheena C. Deshpande, Raamesh Simpkins, Scott W. Nelson, Justin Yashiroda, Yoko Barber, Jacqueline M. Safizadeh, Hamid Wilson, Erin Okada, Hiroki Gebre, Abraham A. Kubo, Karen Torres, Nikko P. LeBlanc, Marissa A. Andrusiak, Kerry Okamoto, Reika Yoshimura, Mami DeRango-Adem, Eva van Leeuwen, Jolanda Shirahige, Katsuhiko Baryshnikova, Anastasia Brown, Grant W. Hirano, Hiroyuki Costanzo, Michael Andrews, Brenda Ohya, Yoshikazu Osada, Hiroyuki Yoshida, Minoru Myers, Chad L. Boone, Charles RIKEN Center for Sustainable Resource Science Wako Saitama Japan. Department of Computer Science and Engineering University of Minnesota-Twin Cities Minneapolis Minnesota USA. Bioinformatics and Computational Biology Program University of Minnesota-Twin Cities Minneapolis Minnesota USA. Department of Electrical and Computer Engineering University of Minnesota-Twin Cities Minneapolis Minnesota USA. Department of Integrated Biosciences Graduate School of Frontier Sciences University of Tokyo Kashiwa Chiba Japan. Donnelly Centre University of Toronto Toronto Ontario Canada. Institute of Molecular and Cellular Biosciences Center for Epigenetic Disease University of Tokyo Bunkyo-ku Tokyo Japan. Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton New Jersey USA. Department of Biochemistry University of Toronto Toronto Ontario Canada.

Chemical-genetic approaches offer the potential for unbiased functional annotation of chemical libraries. Mutations can alter the response of cells in the presence of a compound, revealing chemical-genetic interactions that can elucidate a compound's mode of action. We developed a highly parallel, unbiased yeast chemical-genetic screening system involving three key components. First, in a drug-sensitive genetic background, we constructed an optimized diagnostic mutant collection that is predictive for all major yeast biological processes. Second, we implemented a multiplexed (768-plex) barcode-sequencing protocol, enabling the assembly of thousands of chemical-genetic profiles. Finally, based on comparison of the chemical-genetic profiles with a compendium of genome-wide genetic interaction profiles, we predicted compound functionality. Applying this high-throughput approach, we screened seven different compound libraries and annotated their functional diversity. We further validated biological process predictions, prioritized a diverse set of compounds, and identified compounds that appear to have dual modes of action.

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Unipolar symmetrical variable-capacitance generators for energy harvesting 60

Unipolar symmetrical variable-capacitance generators for ene...

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60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017

作者： De Queiroz, Antonio Carlos M. De Oliveira Filho, Luiz Carlos Macedo COPPE/EP - Electrical Engineering Program Federal University of Rio de Janeiro Rio de Janeiro Brazil EP-Department of Electronic and Computer Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781509063895

This paper investigates a class of electrical generators based on capacitors and diodes, with two capacitors being variable. Their main characteristics are a symmetrical structure and that they produce two outputs with the same polarity. The simplest version is analyzed in more detail, although in an approximate way, and generalizations of it are obtained, identified with a particular form of two-phase voltage multiplier. The generalized versions require less capacitance variation for operation, and are shown, by simulation, to have faster startup than structures with a single variable capacitor. The structures are tested experimentally with a 3D-printed pair of variable capacitors that tries to emulate a structure built with microelectromechanics techniques. © 2017 IEEE.

关键词： Energy harvesting

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A high performance approach for parallel computing of fibre Bragg grating strain profiles using graphics processing units

A high performance approach for parallel computing of fibre ...

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作者： Negri, L.H. Lopes, H.S. Muller, M. Fabris, J.L. Paterno, A.S. Graduate Program in Electrical and Computer Engineering Federal University of Technology Paraná Brazil Department of Electrical Engineering Santa Catarina State University Brazil

This work proposes an efficient approach to recover the mechanical strain profile applied on fibre Bragg grating sensors. The proposed method is based on differential evolution and uses only the sensor reflectivity, without requiring phase information. The method has been shown to be highly parallelisable, with the fitness evaluation procedure implemented on graphical processing units. Experiments were performed to evaluate the performance of the method on three distinct graphic processing units (GPU), under a series of increasing loads. An enhancement up to three orders of magnitude in performance was obtained in respect to other evolutionary method proposed in the literature for the same purpose. Furthermore, it was observed that, for smaller problem sizes, the GPU clock rate was more significant than the number of cores of the GPU. © 2016 Inderscience Enterprises Ltd.

关键词： Graphics processing unit

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Publisher Correction: Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery

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Nature communications 2021年第1期12卷 4318页

作者： Bahar Behsaz Edna Bode Alexey Gurevich Yan-Ni Shi Florian Grundmann Deepa Acharya Andrés Mauricio Caraballo-Rodríguez Amina Bouslimani Morgan Panitchpakdi Annabell Linck Changhui Guan Julia Oh Pieter C Dorrestein Helge B Bode Pavel A Pevzner Hosein Mohimani Bioinformatics and Systems Biology Program University of California San Diego La Jolla CA USA. Center for Microbiome Innovation University of California at San Diego La Jolla CA USA. Computational Biology Department School of Computer Science Carnegie Mellon University Pittsburgh PA USA. Molecular Biotechnology Department of Biosciences Goethe University Frankfurt Frankfurt am Main Germany. Center for Algorithmic Biotechnology Institute of Translational Biomedicine St. Petersburg State University St Petersburg Russia. Tiny Earth Chemistry Hub University of Wisconsin-Madison Madison WI USA. Collaborative Mass Spectrometry Innovation Center Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA USA. The Jackson Laboratory of Medical Genomics Farmington CT USA. Molecular Biotechnology Department of Biosciences Goethe University Frankfurt Frankfurt am Main Germany. helge.bode@mpi-marburg.mpg.de. Buchmann Institute for Molecular Life Sciences (BMLS) Goethe University Frankfurt & Senckenberg Research Institute Frankfurt am Main Germany. helge.bode@mpi-marburg.mpg.de. Max-Planck-Institute for Terrestrial Microbiology Department for Natural Products in Organismic Interactions Marburg Germany. helge.bode@mpi-marburg.mpg.de. Department of Computer Science and Engineering University of California San Diego La Jolla CA USA. ppevzner@ucsd.edu. Computational Biology Department School of Computer Science Carnegie Mellon University Pittsburgh PA USA. hoseinm@andrew.cmu.edu.

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