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Novel Optical Materials and Applications, NOMA 2016

作者： Smalley, Joseph S.T. Vallini, Felipe Montoya, Sergio Ferrari, Lorenzo Riley, Conor T. Shahin, Shiva Kanté, Boubacar Fullerton, Eric Liu, Zhaowei Fainman, Yeshaiahu Department of Electrical and Computer Engineering University of California San Diego United States Material Science Program University of California San Diego United States Department of NanoEngineering University of California San Diego United States

We demonstrate light-emitting hyperbolic metasurfaces in the 1200-1600nm spectral range. The multilayer configuration, ideal for planar integration, enables characterization of hyperbolic dispersion by polarization an... 详细信息

ISBN: (纸本)9781943580149

关键词： Light

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Mesostructured composite materials with electrically tunable upconversion properties

arXiv

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arXiv 2017年

作者： Mundoor, Haridas Smalyukh, Ivan I. Department of Physics and Department of Electrical Computer and Energy Engineering Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 Singapore Materials Science and Engineering Program Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

A promising approach of designing mesostructured materials with novel physical behavior is to combine unique optical and electronic properties of solid nanoparticles with long-range ordering and facile response of soft matter to weak external stimuli. Here we design, practically realize, and characterize orientationally ordered nematic liquid crystalline dispersions of rod-like upconversion nanoparticles. Boundary conditions on particle surfaces, defined through surface functionalization, promote spontaneous unidirectional self-alignment of the dispersed rod-like nanoparticles, mechanically coupled to the molecular ordering direction of the thermotropic nematic liquid crystal host. As host is electrically switched at low voltages . 1V, nanorods rotate, yielding tunable upconversion and polarized luminescence properties of the composite. We characterize spectral and polarization dependencies, explain them through invoking models of electrical switching and upconversion dependence on crystalline matrices of nanorods, and discuss potential practical uses. Copyright © 2017, The Authors. All rights reserved.

关键词： Nanorods

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Electronic Stuctures: Mechanically Guided Post‐Assembly of 3D Electronic Systems (Adv. Funct. Mater. 48/2018)

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Advanced Functional Materials 2018年第48期28卷

作者： Bong Hoon Kim Fei Liu Yongjoon Yu Hokyung Jang Zhaoqian Xie Kan Li Jungyup Lee Ji Yoon Jeong Arin Ryu Yechan Lee Do Hoon Kim Xueju Wang KunHyuck Lee Jong Yoon Lee Sang Min Won Nuri Oh Jeonghyun Kim Ju Young Kim Seong‐Jun Jeong Kyung‐In Jang Seungmin Lee Yonggang Huang Yihui Zhang John A. Rogers Department of Materials Science and Engineering Simpson Querrey Institute and Feinberg Medical School Center for Bio‐Integrated Electronics Northwestern University Evanston IL 60208 USA Center for Mechanics and Materials Center for Flexible Electronics Technology AML Department of Engineering Mechanics Tsinghua University Beijing 100084 China Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Civil and Environmental Engineering Mechanical Engineering and Materials Science and Engineering Northwestern University Evanston IL 60208 USA AML Department of Engineering Mechanics Center for Mechanics and Materials Tsinghua University Beijing 100084 China Division of Materials Science and Engineering Hanyang University Seoul 04763 Republic of Korea Department of Electronics Convergence Engineering Kwangwoon University Seoul 01897 Republic of Korea Multidisciplinary Sensor Research Group Electronics and Telecommunications Research Institute (ETRI) Daejeon 34129 Republic of Korea Department of Organic Materials and Fiber Engineering Department of Information Communication Materials and Chemistry Convergence Technology Soongsil University 369 Sangdo‐ro Dongjak‐gu Seoul 06978 Republic of Korea Department of Robotics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea Department of Energy Electronics Convergence Kookmin University Seoul 02707 Republic of Korea Department of Civil and Environmental Engineering Mechanical Engineering Materials Science and Engineering Northwestern University Evanston IL 60208 USA Department of Materials Science and Engineering Department of Biomedical Engineering Department of Chemistry Department of Neurological Surgery Department of Mechanical Engineering Department of Electrical Engineering and Computer Science Simpson Querrey Institute and Feinberg Medical School Center for Bio‐Integrated Electronics Northwestern University Evanston IL 60208 USA

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BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains

arXiv

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arXiv 2018年

作者： Jiang, Linxing Stocco, Andrea Losey, Darby M. Abernethy, Justin A. Prat, Chantel S. Rao, Rajesh P.N. University of Washington Paul G. Allen School of Computer Science & Engineering SeattleWA98195 United States University of Washington Department of Psychology SeattleWA98195 United States University of Washington Institute for Learning and Brain Sciences SeattleWA98195 United States Carnegie Mellon University Joint Program in Neural Computation & Machine Learning PittsburghPA15213 United States Carnegie Mellon University Center for the Neural Basis of Cognition PittsburghPA15213 United States University of Washington Institute for Neuroengineering SeattleWA98195 United States University of Washington Center for Neurotechnology SeattleWA98195 United States

We present BrainNet which, to our knowledge, is the first multi-person non-invasive direct brain-to-brain interface for collaborative problem solving. The interface combines electroencephalography (EEG) to record brain signals and transcranial magnetic stimulation (TMS) to deliver information noninvasively to the brain. The interface allows three human subjects to collaborate and solve a task using direct brain-to-brain communication. Two of the three subjects are designated as "Senders" whose brain signals are decoded using real-time EEG data analysis. The decoding process extracts each Sender’s decision about whether to rotate a block in a Tetris-like game before it is dropped to fill a line. The Senders’ decisions are transmitted via the Internet to the brain of a third subject, the "Receiver," who cannot see the game screen. The Senders’ decisions are delivered to the Receiver’s brain via magnetic stimulation of the occipital cortex. The Receiver integrates the information received from the two Senders and uses an EEG interface to make a decision about either turning the block or keeping it in the same orientation. A second round of the game provides an additional chance for the Senders to evaluate the Receiver’s decision and send feedback to the Receiver’s brain, and for the Receiver to rectify a possible incorrect decision made in the first round. We evaluated the performance of BrainNet in terms of (1) Group-level performance during the game, (2) True/False positive rates of subjects’ decisions, and (3) Mutual information between subjects. Five groups, each with three human subjects, successfully used BrainNet to perform the collaborative task, with an average accuracy of 81.25%. Furthermore, by varying the information reliability of the Senders by artificially injecting noise into one Sender’s signal, we investigated how the Receiver learns to integrate noisy signals in order to make a correct decision. We found that like conventional social networks, BrainN

关键词： Electrophysiology

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Building a concept inventory for numerical methods: A chronology 123

Building a concept inventory for numerical methods: A chrono...

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123rd ASEE Annual Conference and Exposition

作者： Kaw, Autar K. Lou, Yingyan Scott, Andrew Miller, Ronald L. University of South Florida United States Arizona State University Civil Environmental and Sustainable Engineering Program School of Sustainable Engineering and The Built Environment Engineering United States Alabama A and M University Department of Electrical Engineering and Computer Science Huntsville United States Colorado School of Mines Department of Chemical Engineering United States

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Towards multi-functional light-weight long-term real-time coastal ocean observation system 11

Towards multi-functional light-weight long-term real-time co...

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11th ACM International Conference on Underwater Networks and Systems, WUWNet 2016

作者： Jiang, Zhenfeng Ma, Yanming Chen, Jiali Wang, Zigeng Peng, Zheng Liu, Jun Han, Guitao Smart Ocean Industry Research Institute Nantong Jiangsu226000 China Computer Science and Engineering Department University of Connecticut StorrsCT06269 United States Computer Science Deparment City College of New York NY10031 United States Computer Science and Technology Department Jilin University Changchun Jilin130012 China State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

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Robust Visual Fiducials for Skin-to-Skin Relative Ship Pose Estimation

Robust Visual Fiducials for Skin-to-Skin Relative Ship Pose ...

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OCEANS MTS/IEEE Monterey (Conference)

作者： Joshua G. Mangelson Ryan W. Wolcott Paul Ozog Ryan M. Eustice Robotics Institute at the University of Michigan Department of Electrical Engineering and Computer Science at the University of Michigan Department of Naval Architecture and Marine Engineering at the University of Michigan

ISBN: (纸本)9781509015276

This paper reports on an optical visual fiducial system developed for relative-pose estimation of two ships at sea. Visual fiducials are ubiquitous in the robotics literature, however none are specifically designed for use in outdoor lighting conditions. Blooming of the CCD causes a significant bias in the estimated pose of square tags that use the outer corners as point correspondences. In this paper, we augment existing state-of-the-art visual fiducials with a border of circles that enables high accuracy, robust pose estimation. We also present a methodology for characterizing tag measurement uncertainty on a per measurement basis. We integrate these methods into a relative ship motion estimation system and support our results using outdoor imagery and field data collected aboard the USNS John Glenn and USNS Bob Hope during skin-to-skin operations.

关键词： Cameras Marine vehicles Pose estimation Visualization Measurement uncertainty Two dimensional displays Matrix decomposition

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Variable-temperature inelastic light scattering spectroscopy of magnons and phonons in nickel oxide

arXiv

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arXiv 2017年

作者： Lacerda, M.M. Kargar, F. Aytan, E. Samnakay, R. Debnath, B. Li, J.X. Khitun, A. Lake, R.K. Shi, J. Balandin, A.A. Center Department of Electrical and Computer Engineering University of California - Riverside RiversideCA92521 United States Campus Duque de Caxias Universidade Federal do Rio de Janeiro RJ Brazil Materials Science and Engineering Program Bourns College of Engineering University of California - Riverside RiversideCA92521 United States Department of Electrical and Computer Engineering University of California - Riverside RiversideCA92521 United States Department of Physics and Astronomy University of California - Riverside RiversideCA92521 United States Center University of California - Riverside RiversideCA92521 United States

We report results of an investigation of the temperature dependence of the magnon and phonon frequencies in NiO. A combination of Brillouin-Mandelstam and Raman spectroscopies allowed us to elucidate the evolution of the phonon and magnon spectral signatures from the Brillouin zone center (GHz range) to the second-order peaks from the zone boundary (THz range). The temperature-dependent behavior of the magnon and phonon bands in the NiO spectrum indicates the presence of antiferromagnetic (AF) order fluctuation or a persistent AF state at temperatures above the Néel temperature (TN=523 K). Tuning the intensity of the excitation laser provides a method for disentangling the features of magnons from acoustic phonons without the application of a magnetic field. Our results are useful for interpretation of the inelastic-light scattering spectrum of NiO, and add to the knowledge of its magnon properties important for THz spintronic devices. Copyright © 2017, The Authors. All rights reserved.

关键词： Nickel oxide

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Improving motivation in a haptic teaching/learning framework

Improving motivation in a haptic teaching/learning framework

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作者： Fernández, Camino Esteban, Gonzalo Conde, Miguel Á. Garcia, Francisco School of Industrial Engineering and Computer Science Robotics Group University of León Campus de Vegazana S/N León24071 Spain Computer Science and Automatics Department Facultad de Ciencias University of Salamanca Plaza de los Caidos S/N Salamanca37008 Spain

Virtual reality simulators represent an affordable alternative for teaching and learning specific skills in environments not available in reality for educational purposes. Their goal is to provide a simulated environment where students can practice real tasks in a safer way and with no real consequences in fields as engineering or surgery. For a simulator to become a more complete teaching and learning tool, it should also include the expert knowledge required to provide instant feedback to the user. SHULE is a framework for building haptic simulators to be used with educational purposes that includes expert knowledge. In order to increase users' motivation, we have also considered game features in the framework design, development and integration with other tools. This process includes the elements needed to provide a challenging goal for the simulator with the correct amount of uncertainty that would increase user's curiosity enough to keep on using it until certain skill is achieved. Simulators produced withSHULEcan be integrated with a Learning Management System (LMS) such as Moodle by means of web services. Their functionality offers the teacher the possibility to create new activities to be performed at the simulator, and also offers the students the possibility to see the results of their simulator sessions in the LMS. © 2016 TEMPUS Publications.

关键词： Simulators

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Rainfall forecasting using PSPline and rice production with ocean-atmosphere interaction

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

作者： Rezzy Eko Caraka Budi Darmawan Supatmanto Muhammad Tahmid Joko Soebagyo M Ali Mauludin Akbar Iskandar Bens Pardamean Bioinformatics and Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia 11480 Weather Modification Technology Center Agency for the Assessment and Application of Technology (BPPT Indonesia Agency for Meteorology Climatology and Geophysics Indonesia College of Technology Wastukancana Purwakarta Laboratory of Sociology and Extension Padjadjaran University Informatics Engineering STMIK AKBA Makassar Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

The role of climate can be affected by plants. The weather can accelerate and multiply the existence of various plant pests and diseases, accelerate the growth and development of grass among plants, and encourage the emergence of infection and significant damage to plants. The elements of climate that affect the growth of plants are one of them is rainfall. In this paper, we performed the simulation using the non-parametric penalized spline (PSPLINE) method and studied the effect on rice production in Lampung. It can be concluded that the increasing fluctuation, frequency, and intensity of climate anomalies in the last decade caused by the ENSO phenomenon have an impact on changes in distribution patterns, intensity, and period of the wet season so that the start of the rainy season and the dry season becomes too late. As a result, there is a seasonal shift from normal average conditions that can ultimately have severe implications for food crops. In a nutshell penalized spline gives high accuracy with R 2 = 96.227% and MAPE = 1.62%.

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