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Annual Allerton Conference on Communication, Control, and Computing

作者： Keith Paarporn Ceyhun Eksin Joshua S. Weitz Jeff S. Shamma School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA School of Biology Georgia Institute of Technology Atlanta GA School of Physics Georgia Institute of Technology Atlanta GA Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia

We study an SIS epidemic model over an arbitrary connected network topology when the agents receive personalized information about the current epidemic state. The agents utilize their available information to either reduce interactions with their neighbors (social distancing) when they believe the epidemic is currently prevalent or resume normal interactions when they believe there is low risk of becoming infected. The information is a weighted combination of three sources: 1) the average states of nodes in contact neighborhoods 2) the average states of nodes in an information network 3) a global broadcast of the average epidemic state of the network. A 2n-state Markov Chain is first considered to model the disease dynamics with awareness, from which a mean-field discrete-time n-state dynamical system is derived, where each state corresponds to an agent's probability of being infected. The nonlinear model is a lower bound of its linearized version about the origin. Hence, global stability of the origin (the diseasefree equilibrium) in the linear model implies global stability in the nonlinear model. When the origin is not stable, we show the existence of a nontrivial fixed point in the awareness model, which obeys a strict partial order in relation to the nontrivial fixed point of the dynamics without distancing. In simulations, we define two performance metrics to understand the effectiveness agent awareness has in reducing the spread of an epidemic.

关键词： Diseases Markov processes Sociology Statistics Upper bound Network topology Stability analysis

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Nanowires: Enhanced Optoelectronic Performance of a Passivated Nanowire-Based Device: Key Information from Real-Space Imaging Using 4D Electron Microscopy (Small 17/2016)

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Small (Weinheim an der Bergstrasse, Germany) 2016年第17期12卷 2312页

作者： Jafar I Khan Aniruddha Adhikari Jingya Sun Davide Priante Riya Bose Basamat S Shaheen Tien Khee Ng Chao Zhao Osman M Bakr Boon S Ooi Omar F Mohammed Solar and Photovoltaics Engineering Research Center Division of Physical Sciences and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900 Kingdom of Saudi Arabia. Photonics Laboratory Computer Electrical and Mathematical Sciences and Engineering KAUST Thuwal 23955-6900 Kingdom of Saudi Arabia.

Selective mapping of surface charge carrier dynamics of InGaN nanowires before and after surface passivation with octadecylthiol (ODT) is reported by O. F. Mohammed and co-workers on page 2313, using scanning ultrafast electron microscopy. In a typical experiment, the 343 nm output of the laser beam is used to excite the microscope tip to generate pulsed electrons for probing, and the 515 nm output is used as a clocking excitation pulse to initiate dynamics. Time-resolved images demonstrate clearly that carrier recombination is significantly slowed after ODT treatment, which supports the efficient removal of surface trap states.

关键词： 4D ultrafast microscopy InGaN nanowires carrier recombination charge carrier dynamics passivation

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Correction to High-Efficiency Colloidal Quantum Dot Photovoltaics via Robust Self-Assembled Monolayers

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Nano letters 2016年第1期16卷 822页

作者： Gi-Hwan Kim F Pelayo García de Arquer Yung Jin Yoon Xinzheng Lan Mengxia Liu Oleksandr Voznyy Lethy Krishnan Jagadamma abdullah Saud Abbas Zhenyu Yang Fengjia Fan Alexander H Ip Pongsakorn Kanjanaboos Sjoerd Hoogland Aram Amassian Jin Young Kim Edward H Sargent Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Ontario M5S 3G4 Canada. School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan 689-798 South Korea. Division of Physical Science and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia.

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Road scene analysis for determination of road traffic density

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Frontiers of computer science 2014年第4期8卷 619-628页

作者： Omar AL-KADI Osama AL-KADI Rizik AL-SAYYED Ja'far ALQATAWNA King Abdullah lI School for Information Technology University of Jordan Amman 11942 Jordan College of Engineering and Computer Science Australian National University Canberra ACT 0200 Australia

Road traffic density has always been a concern in large cities around the world, and many approaches were developed to assist in solving congestions related to slow traffic flow. This work proposes a congestion rate estimation approach that relies on real-time video scenes of road traffic, and was implemented and evaluated on eight different hotspots covering 33 different urban roads. The approach relies on road scene morphology for estimation of vehicles average speed along with measuring the overall video scenes randomness acting as a frame texture analysis indicator. Experimental results shows the feasibility of the proposed approach in reliably estimating traffic density and in providing an early warning to drivers on road conditions, thereby mitigating the negative effect of slow traffic flow on their daily lives.

关键词： road congestion image texture local binary pattern scene morphology

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Unique Characteristics of Vertical Carbon Nanotube Field-effect Transistors on Silicon

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Nano-Micro Letters 2014年第3期6卷 287-292页

作者： Jingqi Li Weisheng Yue Zaibing Guo Yang Yang Xianbin Wang Ahad A.Syed Yafei Zhang Nanofab King Abdullah University of Science and Technology Key Laboratory for Thin Film and Microfabrication Technology of the Ministry of Education School of Electronics Information and Electrical Engineering Shanghai Jiao Tong University

A vertical carbon nanotube field-effect transistor(CNTFET) based on silicon(Si) substrate has been proposed and simulated using a semi-classical theory. A single-walled carbon nanotube(SWNT) and an n-type Si nanowire in series construct the channel of the transistor. The CNTFET presents ambipolar characteristics at positive drain voltage(Vd) and n-type characteristics at negative Vd. The current is significantly influenced by the doping level of n-Si and the SWNT band gap. The n-branch current of the ambipolar characteristics increases with increasing doping level of the n-Si while the p-branch current decreases. The SWNT band gap has the same influence on the p-branch current at a positive Vd and n-type characteristics at negative Vd. The lower the SWNT band gap, the higher the current. However, it has no impact on the n-branch current in the ambipolar characteristics. Thick oxide is found to significantly degrade the current and the subthreshold slope of the CNTFETs.

关键词： Carbon Nanotube Field-effect Transistors Semi-classical Simulation

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Data assimilation of InSAR measurements for large scale reservoirs

Data assimilation of InSAR measurements for large scale rese...

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SPE Saudi Arabia Section Technical Symposium and Exhibition

作者： Katterbauer, Klemens Hoteit, Ibrahim Sun, Shuyu Earth Science and Engineering Program King Abdullah University of Science and Technology Saudi Arabia

ISBN: (纸本)9781613993866

Optimizing and enhancing oil recovery is a key focus for the oil and gas industry. For economic success, good reservoir formation knowledge is important to optimize oil & gas extraction over the course of production time. Reservoir history matching plays a crucial role in the incorporation of production and logging data for efficiently forecasting the development of reservoirs and its depletion. While production and logging data have been readily incorporated, sparse spatial sampling of these data may yield insufficient information about the formation structure to accurately history match for large reservoirs such as Ghawar. InSAR (Interferometric Synthetic Aperture Radar) has revolutionized the way to measure the Earth's surface deformation and has been successfully and economically utilized for studying large surface deformation caused by hydrocarbon extraction (such as commercialized by Halliburton). Surface displacement is primarily caused by changes in the pressure level within the subsurface reservoirs that lead to an up- or downlift of the subsurface. With fluids travelling from high into low pressure environments, InSAR measurements can be used to forecast fluid displacements. We have developed an InSAR based history matching framework for oil & gas reservoirs that efficiently incorporates InSAR data for improved reservoir management and forecasts. Our numerical results suggest that InSAR data provide important information about the reservoir state which can be exploited to enhance the forecasting for large scale reservoirs. © Copyright 2014, Society of Petroleum Engineers.

关键词： Forecasting

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Erratum to: The sponge microbiome project

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Gigascience 2018年第12期7卷 giy145页

作者： Lucas Moitinho-Silva Shaun Nielsen Amnon Amir Antonio Gonzalez Gail L Ackermann Carlo Cerrano Carmen Astudillo-Garcia Cole Easson Detmer Sipkema Fang Liu Georg Steinert Giorgos Kotoulas Grace P McCormack Guofang Feng James J Bell Jan Vicente Johannes R Björk Jose M Montoya Julie B Olson Julie Reveillaud Laura Steindler Mari-Carmen Pineda Maria V Marra Micha Ilan Michael W Taylor Paraskevi Polymenakou Patrick M Erwin Peter J Schupp Rachel L Simister Rob Knight Robert W Thacker Rodrigo Costa Russell T Hill Susanna Lopez-Legentil Thanos Dailianis Timothy Ravasi Ute Hentschel Zhiyong Li Nicole S Webster Torsten Thomas Centre for Marine Bio-Innovation and School of Biological Earth and Environmental Sciences The University of New South Wales Sydney 2052 Australia. Department of Pediatrics University of California - San Diego La Jolla CA 92093 USA. Department of Life and Environmental Sciences Polytechnic University of Marche Ancona 60131 Italy. School of Biological Sciences University of Auckland Auckland New Zealand. Halmos College of Natural Sciences and Oceanography Nova Southeastern University Dania Beach FL 33004 USA. Wageningen University Laboratory of Microbiology Stippeneng 4 6708 WE Wageningen The Netherlands. State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai 200240 P.R. China. Hellenic Centre for Marine Research Institute of Marine Biology Biotechnology and Aquaculture Thalassocosmos 71500 Heraklion Greece. Zoology School of Natural Sciences Ryan Institute National University of Ireland Galway University Rd. Galway Ireland. School of Biological Sciences Victoria University of Wellington Wellington New Zealand. Hawaii Institute of Marine Biology 46-007 Lilipuna Road Kaneohe HI 96744-1346. Galvin Life Science Center University of Notre Dame Notre Dame IN 46556 USA. Ecological Networks and Global Change Group Theoretical and Experimental Ecology Station CNRS and Paul Sabatier University Moulis France. Department of Biological Sciences University of Alabama Tuscaloosa AL 35487 USA. INRA UMR1309 CMAEE Cirad UMR15 CMAEE 34398 Montpellier France. Department of Marine Biology Leon H. Charney School of Marine Sciences University of Haifa Haifa Israel. Australian Institute of Marine Science (AIMS) Townsville 4810 Queensland Australia. Department of Zoology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv 69978 Israel. Department of Biology and Marine Biology University of North Carolina Wilmington Wilmington NC 28409 USA. Institute for Chemistry and Biolog

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A hybrid DGTD scheme for transient analysis of electromagnetic field interactions on microwave systems loaded with thin wires

A hybrid DGTD scheme for transient analysis of electromagnet...

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International Conference on Electromagnetics in Advanced Applications (ICEAA)

作者： Ping Li Yifei Shi Hakan Bagci Division of Computer Electrical and Mathematical Sciences and Engineering (CEMSE) King Abdullah University of Science and Technology (KAVST) Thuwal Saudi Arabia Division of CEMSE KAUST Thuwal Saudi Arabia Division of CEMSE and the Center for UQCSE KAUST Thuwal Saudi Arabia

Use of the discontinuous Galerkin time-domain (DGTD) method for analyzing electromagnetic field interactions on microwave structures loaded with thin wires has been very limited despite its well-known advantages. Direct application of the three dimensional (3D) DGTD method to such structures calls for very fine volumetric discretizations in the proximity of the thin wires. In this work, to avoid this possible source of computational inefficiency, electromagnetic field interactions on thin wires and the rest of the structures are modeled separately using the modified telegrapher and Maxwell equations, respectively. Then, 1D and 3D DGTD methods are used to discretize them. The coupling between the two resulting matrix systems is realized by introducing equivalent source terms in each equation set. A weighted electric field obtained from the 3D discretization around the wire is introduced as a voltage source in the telegrapher equations. A volume current density obtained from the 1D discretization on the wire is introduced as a current source in the Ampere law equation.

关键词： Wires Couplings Time-domain analysis Mathematical model Method of moments Finite element analysis Three-dimensional displays

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Relationships Between Average Depth and Number of Nodes for Decision Trees

Relationships Between Average Depth and Number of Nodes for ...

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7th International Conference on Intelligent Systems and Knowledge engineering, ISKE 2012

作者： Chikalov, Igor Hussain, Shahid Moshkov, Mikhail Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia

This paper presents a new tool for the study of relationships between total path length or average depth and number of nodes of decision trees. In addition to algorithm, the paper also presents the results of experime... 详细信息

关键词： Decision trees

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Brain inspired high performance electronics on flexible silicon 10

Brain inspired high performance electronics on flexible sili...

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10th Conference on Ph. D. Research in Microelectronics and Electronics, PRIME 2014

作者： Torres Sevilla, Galo Andres Rojas, Jhonathan Prieto Hussain, Muhammad Mustafa Computer Electrical and Mathematical Engineering Division King Abdullah University of Science and Technology. Thuwal Mekkah Saudi Arabia

ISBN: (纸本)9781479949946

Brain's stunning speed, energy efficiency and massive parallelism makes it the role model for upcoming high performance computation systems. Although human brain components are a million times slower than state of the art silicon industry components [1], they can perform 1016 operations per second while consuming less power than an electrical light bulb. In order to perform the same amount of computation with today's most advanced computers, the output of an entire power station would be needed. In that sense, to obtain brain like computation, ultra-fast devices with ultra-low power consumption will have to be integrated in extremely reduced areas, achievable only if brain folded structure is mimicked. Therefore, to allow brain-inspired computation, flexible and transparent platform will be needed to achieve foldable structures and their integration on asymmetric surfaces. In this work, we show a new method to fabricate 3D and planar FET architectures in flexible and semitransparent silicon fabric without comprising performance and maintaining cost/yield advantage offered by silicon-based electronics. © 2014 IEEE.

关键词： Silicon

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