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IEEE International Conference on Robotics and Automation (ICRA)

作者： Matthew Johnson-Roberson Charles Barto Rounak Mehta Sharath Nittur Sridhar Karl Rosaen Ram Vasudevan Department of Naval Architecture and Marine Engineering University of Michigan Ann Arbor MI USA Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA Robotics Program University of Michigan Ann Arbor MI USA Mechanical Engineering University of Michigan Ann Arbor MI USA

Deep learning has rapidly transformed the state of the art algorithms used to address a variety of problems in computer vision and robotics. These breakthroughs have relied upon massive amounts of human annotated training data. This time consuming process has begun impeding the progress of these deep learning efforts. This paper describes a method to incorporate photo-realistic computer images from a simulation engine to rapidly generate annotated data that can be used for the training of machine learning algorithms. We demonstrate that a state of the art architecture, which is trained only using these synthetic annotations, performs better than the identical architecture trained on human annotated real-world data, when tested on the KITTI data set for vehicle detection. By training machine learning algorithms on a rich virtual world, real objects in real scenes can be learned and classified using synthetic data. This approach offers the possibility of accelerating deep learning's application to sensor-based classification problems like those that appear in self-driving cars. The source code and data to train and validate the networks described in this paper are made available for researchers.

关键词： Engines Training Machine learning Data models Robots Training data Automobiles

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Diversity of Knot Solitons in Liquid Crystals Manifested by Linking of Preimages in Torons and Hopfions

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Physical Review X 2017年第1期7卷 011006-011006页

作者： Paul J. Ackerman Ivan I. Smalyukh University of Colorado Department of Physics Boulder Colorado 80309 USA University of Colorado Department of Electrical Computer and Energy Engineering Boulder Colorado 80309 USA University of Colorado Liquid Crystal Materials Research Center and Materials Science and Engineering Program Boulder Colorado 80309 USA University of Colorado Renewable and Sustainable Energy Institute Boulder Colorado 80309 USA

Topological solitons are knots in continuous physical fields classified by nonzero Hopf index values. Despite arising in theories that span many branches of physics, from elementary particles to condensed matter and cosmology, they remain experimentally elusive and poorly understood. We introduce a method of experimental and numerical analysis of such localized structures in liquid crystals that, similar to the mathematical Hopf maps, relates all points of the medium’s order parameter space to their closed-loop preimages within the three-dimensional solitons. We uncover a surprisingly large diversity of naturally occurring and laser-generated topologically nontrivial solitons with differently knotted nematic fields, which previously have not been realized in theories and experiments alike. We discuss the implications of the liquid crystal’s nonpolar nature on the knot soliton topology and how the medium’s chirality, confinement, and elastic anisotropy help to overcome the constraints of the Hobart-Derrick theorem, yielding static three-dimensional solitons without or with additional defects. Our findings will establish chiral nematics as a model system for experimental exploration of topological solitons and may impinge on understanding of such nonsingular field configurations in other branches of physics, as well as may lead to technological applications.

关键词： Chirality Point defects Topological defects Topological materials

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Correction to: Analysis of the Regularization Parameters of Primal–Dual Interior Method for Convex Objectives Applied to 1H Low Field Nuclear Magnetic Resonance Data Processing

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Applied Magnetic Resonance 2018年第1期50卷 521-521页

作者： Campisi-Pinto, Salvatore Levi, Ofer Benson, Diamanta Cohen, Meir Resende, Maysa Teixeira Saunders, Michael Linder, Charles Wiesman, Zeev Phyto-Lipid Biotechnology Laboratory Department of Biotechnology Engineering Faculty of Engineering Sciences Ben-Gurion University of the Negev Beer-Sheva Israel Department of Mathematics and Computer Science Program of Industrial Engineering and Management The Open University Ra’anana Israel Department of Management Science and Engineering (MS&E) Stanford University Stanford USA

In the original publication, the acknowledgment section was not published and it is given below now.

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Intrinsic Raman signatures of pristine hybrid perovskite CH3NH3PbI3 and its multiple stages of structure transformation 44

Intrinsic Raman signatures of pristine hybrid perovskite CH3...

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44th IEEE Photovoltaic Specialist Conference, PVSC 2017

作者： Chen, Qiong Liu, Henan Kim, Hui-Seon Liu, Yucheng Yang, Mengjin Yue, Naili Ren, Gang Zhu, Kai Liu, Shengzhong Frank Park, Nam-Gyu Zhang, Yong Department of Electrical and Computer Engineering Korea Republic of Optical Science and Engineering Graduate Program University of North Carolina at Charlotte CharlotteNC28223 United States School of Chemical Engineering and Department of Energy Science Sungkyunkwan University Suwon440-746 Korea Republic of Key Laboratory of Applied Surface and Colloid Chemistry National Ministry of EducationInstitute for Advanced Energy Materials School of Materials Science and Engineering Shaanxi Normal University Xi'an710062 China Chemical and Materials Science Center National Renewable Energy Laboratory GoldenCO80401 United States Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA94720 United States

ISBN: (纸本)9781509056057

By performing spatially resolved Raman and photoluminescence spectroscopy with different illumination conditions, we have achieved a unified understanding towards the spectroscopy signatures of the organic-inorganic hybrid perovskite, transforming from the pristine state (CH3NH3PbI3 or MAPbI3) to fully degraded state (i.e., PbI2), for samples with varying crystalline domain size from mesoscopic scale to macroscopic size, synthesized by three different techniques. © 2017 IEEE.

关键词： Perovskite

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Sustainable industrial systems within kernel density analysis of artificial intelligence and industry 4.0

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IOP Conference Series: Earth and Environmental Science 2018年第1期195卷

作者： Khristian Edi Nugroho Soebandrija Daniel Patricko Hutabarat Aerna Fauzi Khair Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Program of Doctor of Research in Management (DRM) Bina Nusantara University Jakarta Indonesia 11480 Computer Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Industrial Engineering Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia 11480

This paper conveys the theoretical perspectives of sustainable industrial systems of On board Unit (OBU) in Electronic Toll and its transportation industry. It proposes kernel density analysis of artificial intelligence approach to industry 4.0. Regulation for technology developments in artificial intelligence and robotics are deemed as one of beneficial yet structurally neglected domain. This domain refers to human perspective on augmenting automation. This regulation was emphasized in 2017 by the European Parliament report level. The mentioned regulation comprises attention in Indonesia transportation industry indicating positive innovation domains in term of safeguards and regulations are needed. Prior, current and posterior trends of the Internet of Things, Industry 4.0, and Physical Internet constitutes the results of the data development and understanding. Therefore, the topical framework of automation and robotics are triggered by these developments. The mention triggers has impacted the most important wide range implementation of industries in the future. Electronic Toll Collection (ETC) system is 40% higher in cost efficiency than Manual Toll Collection (MTC) system. In this situation, Indonesian government has already issued full swing policy implementation on non-contact freeway toll collection system by the end of 2018. Structural Equation Modelling (SEM) is capitalized to proceed to data processing. Result of this research shown the driver's characteristics that significantly affect willingness to pay an on-board unit are education expenses, distance and frequency. The average value of driver willing to pay an on-board unit was 225.781 IDR and factors that affecting values of the willingness to pay an on-board unit are expenses and distance.

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Analysis of e-learning implementation readiness based on integrated elr model

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Journal of Physics: Conference Series 2018年第1期1007卷

作者： K Adiyarta D Napitupulu R Rahim D. Abdullah MI Setiawan Program of Master of Computer Scocience Universitas Budi Luhur Indonesia Research Center for Quality System & Testing Technology Indonesian Institute of Sciences Tangerang Selatan Banten Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Civil Engineering Narotama University Surabaya Indonesia

E-learning nowadays has become a requirement for institutions to support their learning activities. To adopt e-learning, an institution requires a large strategy and resources for optimal application. Unfortunately, not all institutions that have used e-learning got the desired results or expectations. This study aims to identify the extent of the level of readiness of e-learning implementation in institution X. The degree of institutional readiness will determine the success of future e-learning utilization. In addition, institutional readiness measurement are needed to evaluate the effectiveness of strategies in e-learning development. The research method used is survey with questionnaire designed based on integration of 8 best practice ELR (e-learning readiness) model. The results showed that from 13 factors of integrated ELR model being measured, there are 3 readiness factors included in the category of not ready and needs a lot of work. They are human resource (2.57), technology skill (2.38) and content factors (2.41). In general, e-learning implementation in institutions is in the category of not ready but needs some of work (3.27). Therefore, the institution should consider which factors or areas of ELR factors are considered still not ready and needs improvement in the future.

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Analysis of user readiness toward ICT usage at small medium enterprise in south tangerang

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Journal of Physics: Conference Series 2018年第1期1007卷

作者： D Napitupulu M Syafrullah R Rahim D. Abdullah MI Setiawan Research Center for Quality System & Testing Technology Indonesian Institute of Sciences Tangerang Selatan Banten Indonesia Program of Master of Computer Science Universitas Budi Luhur Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Civil Engineering Narotama University Surabaya Indonesia

Utilization of Information and Communication Technology (ICT) is still relatively low in the level of SMEs due to various limitations ranging from access to capital, till the marketing network. ICT is present to provide the ability for SMEs in improving the benefits and competitive advantage of the organization. This study aims to determine the level of readiness of SMEs in utilizing technology, especially ICT. The methodology used is a survey to see the technology readiness of 107 SMEs in South Tangerang selected by purposive sampling. The approach used is TRI (Technology Readiness Index) which is the individual perception of technology based on four criteria that is optimism, innovativeness, discomfort and insecurity. The results showed that the optimism and innovativeness variables significantly positively influence the technology readiness while the variables of discomfort and insecurity also significantly positively influence the readiness of ICT.

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A molecular single-cell lung atlas of lethal COVID-19 (vol 595, pg 114, 2021)

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NATURE 2021年第7882期598卷 E2-E2页

作者： Melms, Johannes C. Biermann, Jana Huang, Huachao Wang, Yiping Nair, Ajay Tagore, Somnath Katsyv, Igor Rendeiro, Andre F. Amin, Amit Dipak Schapiro, Denis Frangieh, Chris J. Luoma, Adrienne M. Filliol, Aveline Fang, Yinshan Ravichandran, Hiranmayi Clausi, Mariano G. Alba, George A. Rogava, Meri Chen, Sean W. Ho, Patricia Montoro, Daniel T. Kornberg, Adam E. Han, Arnold S. Bakhoum, Mathieu F. Anandasabapathy, Niroshana Suarez-Farinas, Mayte Bakhoum, Samuel F. Bram, Yaron Borczuk, Alain Guo, Xinzheng V. Lefkowitch, Jay H. Marboe, Charles Lagana, Stephen M. Del Portillo, Armando Tsai, Emily J. Zorn, Emmanuel Markowitz, Glen S. Schwabe, Robert F. Schwartz, Robert E. Elemento, Olivier Saqi, Anjali Hibshoosh, Hanina Que, Jianwen Izar, Benjamin Department of Medicine Division of Hematology/Oncology Columbia University Irving Medical Center New York NY USA Columbia Center for Translational Immunology Columbia University Irving Medical Center New York NY USA Herbert Irving Comprehensive Cancer Center Columbia University Irving Medical Center New York NY USA Program for Mathematical Genomics Columbia University New York NY USA Columbia Center for Human Development Columbia University Irving Medical Center New York NY USA Division of Digestive and Liver Diseases Columbia University Irving Medical Center New York NY USA Department of Medicine Columbia University Irving Medical Center New York NY USA Institute of Human Nutrition Columbia University New York NY USA Department of Systems Biology Columbia University Irving Medical Center New York NY USA Department of Pathology and Cell Biology Columbia University Irving Medical Center New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Caryl and Israel Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA WorldQuant Initiative for Quantitative Prediction Weill Cornell Medicine New York NY USA Department of Physiology and Biophysics Weill Cornell Medical College New York NY USA Department of Dermatology Weill Cornell Medical College New York NY USA Meyer Cancer Center Weill Cornell Medical College New York NY USA Laboratory of Systems Pharmacology Harvard Medical School Boston MA USA Klarman Cell Observatory Broad Institute of MIT and Harvard Cambridge MA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Department of Cancer Immunology and Virology Dana-Farber Cancer Center Boston MA USA Human Immune Monitoring Core Columbia University Irving Medical Center New York NY USA Department of Medicine Division of Pulmonary and Critical Care Massachusetts General Hospital Boston MA USA Cell Circu

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Making up for the deficit in a marathon run

arXiv

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arXiv 2017年

作者： Fister, Iztok Fister, Dušan Deb, Suash Mlakar, Uroš Brest, Janez Fister, Iztok University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova 17 Maribor2000 Slovenia University of Maribor Faculty of Mechanical Engineering Smetanova 17 Maribor2000 Slovenia It and Educational Consultant Ranchi Jharkhand India Distinguished Professorial Associate Decision Sciences and Modelling Program Victoria University Melbourne Australia University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova 17 Maribor2000 Slovenia

To predict the final result of an athlete in a marathon run thoroughly is the eternal desire of each trainer. Usually, the achieved result is weaker than the predicted one due to the objective (e.g., environmental conditions) as well as subjective factors (e.g., athlete's malaise). Therefore, making up for the deficit between predicted and achieved results is the main ingredient of the analysis performed by trainers after the competition. In the analysis, they search for parts of a marathon course where the athlete lost time. This paper proposes an automatic making up for the deficit by using a Differential Evolution algorithm. In this case study, the results that were obtained by a wearable sports-watch by an athlete in a real marathon are analyzed. The first experiments with Differential Evolution show the possibility of using this method in the future. Copyright © 2017, The Authors. All rights reserved.

关键词： Optimization

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Voice controller mobile android application

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IOP Conference Series: Materials Science and engineering 2018年第1期420卷

作者： Pandapotan Siagian Sindak Hutauruk Institut Teknologi Del Faculty of Informatics and Electrical Engineering Computer Engineering Study Program Jl. Sisingamangaraja Sitoluama Toba Samosir Sumatera Utara 22381 Indonesia Universitas HKBP Nommensen Faculty of Electrical Engineering Jl. Sutomo No.1 Medan North Sumatera 2018 Indonesia

Mobile devices are becoming an indispensable part of daily lives. This system has been developed interactive android application to assist and provide the support helps people such as blind and other physically limited people who face. They will be done for outgoing calling to his family and also the area around them. Speech recognition is technology that uses desired equipment and a service which can be controlled through voice of the android smart phone. An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The device proposed here is an interactive android platform, which is capable of recognizing spoken words. We propose to developed interactive android application and also added some features which are currently available in android based smartphones such as attending for a line calling feature and out-going calling feature, over the voice commands which can run on the tablet or any android based phone. Speech recognition have a data set to translate between users' descriptions and the labels in the database, which has entries on the speech recognition (sounds and patterns) that make up the sound.

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