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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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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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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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Author Correction: Cellulose Mediated Transferrin Nanocages for Enumeration of Circulating Tumor Cells for Head and Neck Cancer

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Scientific reports 2020年第1期10卷 16607页

作者： Raj Shankar Hazra Narendra Kale Gourishankar Aland Burhanuddin Qayyumi Dipankar Mitra Long Jiang Dilpreet Bajwa Jayant Khandare Pankaj Chaturvedi Mohiuddin Quadir Department of Mechanical Engineering Materials and Nanotechnology Program North Dakota State University Fargo ND 58108 USA. School of Pharmacy Maharashtra Institute of Technology-WPU Pune India. Actorius Innovations and Research (AIR) Pvt. Ltd Pune India. Department of Medical Oncology Tata Memorial Hospital Mumbai 400012 Maharashtra India. Department of Electrical and Computer Engineering North Dakota State University Fargo ND 58108 USA. Department of Mechanical and Industrial Engineering Montana State University Bozeman MT 59717-3800 USA. School of Pharmacy Maharashtra Institute of Technology-WPU Pune India. jayant.khandare@mippune.edu.in. Actorius Innovations and Research (AIR) Pvt. Ltd Pune India. jayant.khandare@mippune.edu.in. Department of Coatings and Polymeric Materials North Dakota State University Fargo ND 58108 USA. mohiuddin.quadir@ndsu.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Latent effects of radiation on Li-ion batteries in robots

Latent effects of radiation on Li-ion batteries in robots

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2017 Transactions of the American Nuclear Society, ANS 2017

作者： Tan, Chuting Bashian, Nicholas H. Hemmelgarn, Chase W. Thio, Wesley J. Lyons, Daniel J. Zheng, Yuan F. Cao, Lei R. Co, Anne C. Nuclear Engineering Program Ohio State University 201 W 19th Ave ColumbusOH43210 United States Department of Chemistry and Biochemistry Ohio State University 140 W 18th Ave ColumbusOH43210 United States Department of Mechanical and Aerospace Engineering Ohio State University 201 W 19th Ave ColumbusOH43210 United States Department of Electrical and Computer Engineering Ohio State University 2015 Neil Ave ColumbusOH43210 United States

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Doubly Penalized LASSO for Reconstruction of Biological Networks

Doubly Penalized LASSO for Reconstruction of Biological Netw...

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作者： Asadi, Behrang Maurya, Mano Ram Tartakovsky, Daniel M. Subramaniam, Shankar Departments of Bioengineering and Mechanical and Aerospace Engineering University of California San Diego Danaher Labs la Jolla Santa ClaraCA United States San Diego Supercomputer Center Department of Bioengineering University of California San Diego San DiegoCA United States Department of Mechanical Aerospace Engineering University of California San Diego San DiegoCA United States Department of Bioengineering Departments of Computer Science and Engineering Cellular and Molecular Medicine and the Graduate Program in Bioinformatics University of California San Diego San DiegoCA United States

Reconstruction of biological and biochemical networks is a crucial step in extracting knowledge and causal information from large biological data sets. This task is particularly challenging when dealing with time-series data from dynamic networks. We have developed a new method, called doubly penalized least absolute shrinkage and selection operator (DPLASSO), for the reconstruction of dynamic biological networks. Our method consists of two components: statistical significance testing of model coefficients and penalized/constrained optimization. A partial least squares (PLS) with statistical significance testing acts as a supervisory-level filter to extract the most informative components of the network from a data set. Then, LASSO with extra weights on the smaller parameters identified in the first layer is employed to retain the main predictors and to set the smallest coefficients to zero. We present two case studies to compare the relative performance of DPLASSO and LASSO in terms of several metrics, such as sensitivity, specificity, and accuracy. The first case study employs a synthetic data set;it demonstrates that DPLASSO substantially improves network reconstruction in terms of accuracy and specificity. The second case study relies on simulated data sets for cell division cycle of fission yeast and shows that DPLASSO overall outperforms LASSO and PLS in terms of sensitivity, specificity, and accuracy. Combining PLS with statistical significance testing and LASSO provides good performance with respect to several metrics. DPLASSO is well suited for reconstruction of networks with low and moderate density. For high-density networks, high specificity is desired, making PLS a more suitable approach. © 1963-2012 IEEE.

关键词： Least squares approximations

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Dual sensor for simultaneous measurement of electrical impedance and temperature during ice formation process

Dual sensor for simultaneous measurement of electrical imped...

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International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

作者： Jean Paulo Nakatu Longo José Rodolfo Galvão Jean Carlos Cardozo da Silva Cicero Martelli Rigoberto E. M. Morales Marco Jose da Silva Graduate Program in Electrical and Computer Engineering (CPGEI) Universidade Tecnológica Federal do Paraná Multiphase Flow Research Center (NUEM) Universidade Tecnológica Federal do Paraná

Impedance spectroscopy is often applied to characterize solids and fluids since each substance presents its own and sometimes unique impedance spectra. In industrial applications, impedance spectroscopy has the potential to monitor many processes such as those occurring in chemical reactors or liquid transportation in pipelines. In this paper, we introduce a sensor being able to perform measurements of impedance spectra (from few Hz to few MHz) allied to precise temperature measurements based on optical fiber Bragg grating sensors which was applied for monitoring ice formation, as exemplary process. The new sensor is described, calibrated and tested. The system was evaluated by measurements with known substances. Ice formation process was monitored and some findings are presented and discussed.

关键词： Ice Temperature measurement Impedance Temperature sensors Fiber gratings Permittivity

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