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24th ACM Multimedia Conference, MM 2016

作者： Zhao, Yiru Li, Yaoyi Shao, Zhiwen Lu, Hongtao Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai Jiao Tong University China

ISBN: (纸本)9781450336031

We propose a novel method for feature description used for image matching in this paper. Our method is inspired by the autoencoder, an artificial neural network designed for learning efficient codings. Sparse and orthogonal constraints are imposed on the autoencoder and make it a highly discriminative descriptor. It is shown that the proposed descriptor is not only invariant to geometric and photometric transformations (such as viewpoint change, intensity change, noise, image blur and JPEG compression), but also highly efficient. We compare it with existing state-of-the-art descriptors on standard benchmark datasets, the experimental results show that our LSOD method yields better performance both in accuracy and eficiency. © 2016 ACM.

关键词： Image matching

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JxActinium: A runtime manager for secure REST-ful CoAP applications working over JXTA 16

JxActinium: A runtime manager for secure REST-ful CoAP appli...

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31st Annual ACM Symposium on Applied Computing, SAC 2016

作者： Battaglia, Filippo Iannizzotto, Giancarlo Lo Bello, Lucia Department of Electric Electronic and Computer Engineering University of Catania Italy Department of Cognitive Science Education and Cultural Studies University of Messina Italy

ISBN: (纸本)9781450337397

In the Representational State Transfer (REST) paradigm, which is commonly adopted in the IoT field, all the operations are performed on resources addressed by a URI. In order to simplify the deployment of REST-ful architectures, the Actinium runtime container, which allows remote clients to load, unload and run REST-ful applications written in Javascript (JS), was recently proposed. However, Actinium is based on the Constrained Application Protocol (CoAP) over the User Datagram Protocol (UDP) and inherits the limitations of both of them. For example, on hybrid networks made up of multiple subnets based on different transport protocols, CoAP requires proprietary solutions, such as httpto-coap gateways or border-routers to deliver packets across the different subnetworks. Moreover, CoAP lacks of support for secure group communications. This paper proposes Jx-Actinium, a novel implementation of CoAP devised to work over the JXTA P2P protocol proposed by Sun Microsystem. JxActinium not only supports hybrid networks, but also allows to create nested networks in which some JS services are reserved only to the peers belonging to a given secure peergroup. © 2016 ACM.

关键词： High level languages

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Accelerated distance computation with encoding tree/forest for high dimensional data

Accelerated distance computation with encoding tree/forest f...

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2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016

作者： Liu, Shicong Shao, Junru Lu, Hongtao Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai Jiao Tong University China

ISBN: (纸本)9781509003891

Vector quantization based methods are important tools for large scale search. They perform lossy compression on the dataset, then the distance between an uncompressed vector and compressed dataset can be efficiently computed via asymmetric distance computation (ADC). We show that for large datasets, ADC conducts excessive computations on vectors sharing the same prefix. To this end, we propose encoding tree (E-Tree) to avoid the excessive computations by storing the encodings on a radix-tree like data-structure. The memory consumption is also lowered. We then propose encoding forest (E-Forest) to further lower the computation cost. E-Tree and E-Forest are compatible with any quantization-based methods. Furthermore, unlike ordinary tree structures, our E-Tree and E-Forest essentially store the encoded vectors linearly in the memory, thus they are easy to implement and compute efficiently. We show by experiments that our methods bring significant speed-up compared to the vanilla ADC method. Therefore, E-Tree and E-Forest offer a practical and useful solution for real-world problems. © 2016 IEEE.

关键词： Vectors

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LED Lights with Hidden Intensity-Modulated Blue Channels Aiming for Enhanced Subconscious Visual Responses

IEEE Photonics Journal

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IEEE Photonics Journal 2017年第3期9卷 8201009页

作者： Vartanian, Garen Wong, Kwoon Y. Ku, Pei-Cheng Macromolecular Science and Engineering Graduate Program University of Michigan Ann ArborMI48109 United States Department of Ophthalmology and Visual Sciences University of Michigan Ann ArborMI48109 United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States

A new form of light-emitting diode (LED) light suitable for general illumination is proposed to enhance subconscious, nonimage-forming visual responses, which are essential to our well-being. Pulsing light has been shown to reduce photoreceptor adaptation and elicit stronger subconscious visual responses at an indoor illumination level. Using the silent substitution technique, a melanopsin-selective flicker can be added into white light. A linear optimization algorithm was developed to suppress any perceivable fluctuation of light intensity and colors of illuminated objects. Two examples of lights are given to illustrate the potential applications of the proposed multi-LED light for general illumination and therapeutic purposes. © 2009-2012 IEEE.

关键词： Light emitting diodes

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Nanophotonic engineering of far-field thermal emitters

arXiv

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arXiv 2018年

作者： Baranov, Denis G. Xiao, Yuzhe Nechepurenko, Igor A. Krasnok, Alex Alù, Andrea Kats, Mikhail A. Department of Physics Chalmers University of Technology Gothenburg412 96 Sweden Department of Electrical and Computer Engineering University of Wisconsin-Madison WI United States Dukhov Research Institute of Automatics 22 Sushchevskaya Moscow127055 Russia Photonics Initiative Advanced Science Research Center City University of New York NY10031 United States Physics Program Graduate Center City University of New York NY10016 United States Department of Electrical Engineering City College of The City University of New York New York10031 United States Department of Materials Science and Engineering University of Wisconsin-Madison WI United States Department of Physics University of Wisconsin-Madison WI United States

Thermal emission is a ubiquitous and fundamental process by which all objects at non-zero temperatures radiate electromagnetic energy. This process is often presented to be incoherent in both space and time, resulting in broadband, omnidirectional light emission toward the far field, with a spectral density related to the emitter temperature by Planck’s law. Over the past two decades, there has been considerable progress in engineering the spectrum, directionality, polarization, and temporal response of thermally emitted light using nanostructured materials. This review summarizes the basic physics of thermal emission, lays out various nanophotonic approaches to engineer thermal-emission in the far field, and highlights several relevant applications, including energy harvesting, lighting, and radiative cooling. Copyright © 2018, The Authors. All rights reserved.

关键词： Spectral density

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Electrical tuning of the polarization state of light using graphene-integrated anisotropic metasurfaces

Electrical tuning of the polarization state of light using g...

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作者： Dutta-Gupta, Shourya Dabidian, Nima Kholmanov, Iskandar Belkin, Mikhail A. Shvets, Gennady Department of Physics Center for Nano and Molecular Science and Technology University of Texas at Austin AustinTX78712 United States Department of Mechanical Engineering Materials Science Program University of Texas at Austin AustinTX78712 United States Department of Electrical and Computer Engineering Microelectronics Research Center University of Texas at Austin 10100 Burnet Road AustinTX78758 United States CNR-INO Sensor Lab University of Brescia via Branze 45 Brescia25123 Italy School of Applied and Engineering Physics Cornell University IthacaNY14853 United States

Plasmonic metasurfaces have been employed for moulding the flow of transmitted and reflected light, thereby enabling numerous applications that benefit from their ultra-thin sub-wavelength format. Their appeal is further enhanced by the incorporation of active electro-optic elements, paving the way for dynamic control of light's properties. In this paper, we realize a dynamic polarization state generator using a graphene-integrated anisotropic metasurface (GIAM) that converts the linear polarization of the incident light into an elliptical one. This is accomplished by using an anisotropic metasurface with two principal polarization axes, one of which possesses a Fano-type resonance. A gate-controlled single-layer graphene integrated with the metasurface was employed as an electro-optic element controlling the phase and intensity of light polarized along the resonant axis of the GIAM. When the incident light is polarized at an angle to the resonant axis of the metasurface, the ellipticity of the reflected light can be dynamically controlled by the application of a gate voltage. Thus accomplished dynamic polarization control is experimentally demonstrated and characterized bymeasuring the Stokes polarization parameters. Large changes of the ellipticity and the tilt angle of the polarization ellipse are observed. Our measurements show that the tilt angle can be changed from positive values through zero to negative values while keeping the ellipticity constant, potentially paving the way to rapid ellipsometry and other characterization techniques requiring fast polarization shifting. This article is part of the themed issue 'New horizons for nanophotonics'. © 2017 The Author(s) Published by the Royal Society. All rights reserved.

关键词： Graphene

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Total variation superiorized conjugate gradient method for image reconstruction

arXiv

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arXiv 2017年

作者： Zibetti, Marcelo V. W. Lin, Chuan Herman, Gabor T. Graduate Program in Electrical Engineering and Computer Science Federal University of Technology - Paraná Curitiba80230-901 Brazil School of Electrical Engineering Southwest Jiaotong University Chengdu Sichuan610031 China Department of Computer Science Graduate Center City University of New York New YorkNY10016 United States

The conjugate gradient (CG) method is commonly used for the relatively-rapid solution of least squares problems. In image reconstruction, the problem can be ill-posed and also contaminated by noise;due to this, approaches such as regularization should be utilized. Total variation (TV) is a useful regularization penalty, frequently utilized in image reconstruction for generating images with sharp edges. When a non-quadratic norm is selected for regularization, as is the case for TV, then it is no longer possible to use CG. Nonlinear CG is an alternative, but it does not share the efficiency that CG shows with least squares and methods such as fast iterative shrinkage-thresholding algorithms (FISTA) are preferred for problems with TV norm. A different approach to including prior information is superiorization. In this paper it is shown that the conjugate gradient method can be superiorized. Five different CG variants are proposed, including preconditioned CG. The CG methods superiorized by the total variation norm are presented and their performance in image reconstruction is demonstrated. It is illustrated that some of the proposed variants of the superiorized CG method can produce reconstructions of superior quality to those produced by FISTA and in less computational time, due to the speed of the original CG for least squares problems. In the Appendix we examine the behavior of one of the superiorized CG methods (we call it S-CG);one of its input parameters is a positive number ". It is proved that, for any given " that is greater than the half-squared-residual for the least squares solution, S-CG terminates in a finite number of steps with an output for which the half-squared-residual is less than or equal to ". Importantly, it is also the case that the output will have a lower value of TV than what would be provided by unsuperiorized CG for the same value " of the half-squared residual. Copyright © 2017, The Authors. All rights reserved.

关键词： Conjugate gradient method

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Hybrid approach of relation network and localized graph convolutional filtering for breast cancer subtype classification

arXiv

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arXiv 2017年

作者： Rhee, Sungmin Seo, Seokjun Kim, Sun Department of Computer Science and Engineering Seoul National University Bioinformatics Institute Seoul National University Seoul Korea Republic of Interdisciplinary Program in Bioinformatics Seoul National University

Network biology has been successfully used to help reveal complex mechanisms of disease, especially cancer. On the other hand, network biology requires in-depth knowledge to construct diseasespecific networks, but our current knowledge is very limited even with the recent advances in human cancer biology. Deep learning has shown an ability to address the problem like this. However, it conventionally used grid-like structured data, thus application of deep learning technologies to the human disease subtypes is yet to be explored. To overcome the issue, we propose a hybrid model, which integrates two key components 1) graph convolution neural network (graph CNN) and 2) relation network (RN). Experimental results on synthetic data and breast cancer data demonstrate that our proposed method shows better performances than existing methods. Copyright © 2017, The Authors. All rights reserved.

关键词： Diseases

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Single shot ultrafast all optical magnetization switching of ferromagnetic Co/Pt multilayers

Single shot ultrafast all optical magnetization switching of...

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Berkeley Symposium on Energy Efficient Electronic Systems (E3S)

作者： Jon Gorchon Charles-Henri Lambert Yang Yang Akshay Pattabi Richard B. Wilson Sayeef Salahuddin Jeffrey Bokor Lawrence Berkeley National Laboratory Berkeley CA USA Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA Department of Materials Science and Engineering University of California Berkeley CA USA Department of Mechanical Engineering and Materials Science and Engineering Program University of California Riverside CA USA

ISBN: (纸本)9781538632918

The ability to control magnetism in sub-picosecond timescales using laser pulses has potential applications in fast magnetic devices. It has been demonstrated that a single femto-second laser pulse can reverse the magnetization of a film within a few picoseconds [1], a phenomenon called as all-optical switching (AOS). However, this phenomenon thus far has been observed only in ferrimagnetic GdFeCo films. On the other hand, ferromagnetic films, which are of greater interest than ferrimagnets in many technological applications, need multiple laser pulses for magnetization reversal [2], making the overall effect slow and energy inefficient. Fast, single-shot switching of a ferromagnet can open up new avenues for spintronic devices that operate at unprecedented picosecond timescales, thereby making them viable non-volatile replacements for silicon based RAMs and logic devices.

关键词： Optical switches Magnetization Ultrafast optics Magnetic separation Optical films Optical pulses

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Zinc‐Based Flow Batteries: Advanced Materials for Zinc‐Based Flow Battery: Development and Challenge (Adv. Mater. 50/2019)

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Advanced Materials 2019年第50期31卷

作者： Zhizhang Yuan Yanbin Yin Congxin Xie Huamin Zhang Yan Yao Xianfeng Li Division of Energy Storage Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian 116023 P. R. China Collaborative Innovation Center of Chemistry for Energy Materials (iChEM) Dalian 116023 P. R. China Department of Electrical and Computer Engineering and Materials Science and Engineering Program University of Houston Houston TX 77204 USA

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