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2nd Nommensen International Conference on Technology and engineering, NICTE 2018

作者： Rahim, Robbi Manurung, Rosida Tiurma Napitupulu, Darmawan Ratnadewi, R. Nurdiyanto, Heri Rangka, Itsar Bolo Eterudin, Hamzah Susanto, Eko Hidayat, Arif Suseno, Nyoto School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Bandung Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Jakarta Indonesia Electrical Engineering Universitas Kristen Maranatha Bandung Indonesia Department of Informatics STMIK Dharma Wacana Metro Lampung Indonesia Departement of Guidance and Counseling Universitas Indraprasta PGRI Jakarta Indonesia Departement of Electrical Universitas Lancang Kuning Pekanbaru Indonesia Universitas Muhammadiyah Metro Lampung Indonesia

Errors in data transmission cannot be known directly when the data transmission process is fulfilled, but error is often prevalent in data transmission. Faulty or missing frames or bits are standard errors and to control or check errors requires a unique method, in this case, the Stop-and-wait method, Go-Back-N and Selective Reject are methods that can be used to do so, comparison of time of error checking process with Stop-and-wait method, Go-Back-N and Selective Reject is very important to get the right method to check the ignorance, from testing performed that the method of Go-Back-N is much faster than the other methods. © Published under licence by IOP Publishing Ltd.

关键词： Errors

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Fast matrix inversion and determinant computation for polarimetric synthetic aperture radar

arXiv

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arXiv 2018年

作者： Coelho, D.F.G. Cintra, R.J. Frery, A.C. Dimitrov, V.S. Graduate Program of Electrical and Computer Engineering Department University of Calgary Canada Signal Processing Group Departamento de Es-tatística Universidade Federal de Pernambuco Department of Electrical and Computer Engineering University of Calgary CalgaryAB Canada Laboratório de Computação Científica e Análise Numérica Universidade Federal de Alagoas Brazil Department of Electrical and Computer Engineering University of Calgary CalgaryAB Canada

This paper introduces a fast algorithm for simultaneous inversion and determinant computation of small sized matrices in the context of fully Polarimetric Synthetic Aperture Radar (PolSAR) image processing and analysis. The proposed fast algorithm is based on the computation of the adjoint matrix and the symmetry of the input matrix. The algorithm is implemented in a general purpose graphical processing unit (GPGPU) and compared to the usual approach based on Cholesky factorization. The assessment with simulated observations and data from an actual PolSAR sensor show a speedup factor of about two when compared to the usual Cholesky factorization. Moreover, the expressions provided here can be implemented in any platform. Copyright © 2018, The Authors. All rights reserved.

关键词： Graphics processing unit

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Metasurfaces: Coherent Perfect Diffraction in Metagratings (Adv. Mater. 36/2020)

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Advanced Materials 2020年第36期32卷

作者： Ziying Zhang Ming Kang Xueqian Zhang Xi Feng Yuehong Xu Xieyu Chen Huifang Zhang Quan Xu Zhen Tian Weili Zhang Alex Krasnok Jiaguang Han Andrea Alù Center for Terahertz Waves College of Precision Instrument and Optoelectronics Engineering Key Laboratory of Optoelectronics Information and Technology Tianjin University Tianjin 300072 P. R. China Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 USA School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74078 USA Photonics Initiative Advanced Science Research Center City University of New York New York NY 10031 USA Physics Program Graduate Center City University of New York New York NY 10016 USA

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Author Correction: Disrupting cellular memory to overcome drug resistance

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Nature communications 2024年第1期15卷 4264页

作者： Guillaume Harmange Raúl A Reyes Hueros Dylan L Schaff Benjamin Emert Michael Saint-Antoine Laura C Kim Zijian Niu Shivani Nellore Mitchell E Fane Gretchen M Alicea Ashani T Weeraratna M Celeste Simon Abhyudai Singh Sydney M Shaffer Cellular and Molecular Biology Graduate Group Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Biochemistry and Molecular Biophysics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Bioengineering School of Engineering and Applied Sciences University of Pennsylvania Philadelphia PA USA. Division of Biology and Biological Engineering California Institute of Technology Pasadena CA 91125 USA. Department of Electrical and Computer Engineering University of Delaware Newark DE 19716 USA. Abramson Family Cancer Research Institute Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Chemistry College of the Arts and Sciences University of Pennsylvania Philadelphia PA USA. Department of Physics College of the Arts and Sciences University of Pennsylvania Philadelphia PA USA. Department of Biology College of the Arts and Sciences University of Pennsylvania Philadelphia PA USA. The Wharton School University of Pennsylvania Philadelphia PA USA. Cancer Signaling and Microenvironment Research Program Fox Chase Cancer Center Philadelphia PA USA. Department of Biochemistry and Molecular Biology Johns Hopkins School of Public Health Baltimore MD USA. Sidney Kimmel Cancer Center Johns Hopkins School of Medicine Baltimore MD USA. Department of Cell and Developmental Biology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Bioengineering School of Engineering and Applied Sciences University of Pennsylvania Philadelphia PA USA. sydshaffer@***. Department of Pathology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. sydshaffer@***.

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Hybrid Beam Forming with Data Logging Scheduling(DLS) for wireless sensor network(WSN)

Hybrid Beam Forming with Data Logging Scheduling(DLS) for wi...

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2017 IEEE International Conference on Applied System Innovation, ICASI 2017

作者： Renu, Sakthidasan Yen, Lei Belay, Abebe Lin, Hsin-Piao Jeng, Shiann-Shiun Department of International Graduate Program in Electrical Engineering and Computer Science National Taipei University of Technology Taiwan Department of Electronic Engineering National Taipei University of Technology Taiwan Department of Electrical Engineering National Dong Hwa University Taipei Taiwan

ISBN: (纸本)9781509048977

Improve of the overall network efficiency between source and destination relay selection and interference free communication is important criteria in WSN. In this paper we are proposing SON based algorithm capable of simultaneous Scheduling and Routing in WSN. The proposes scheme contains the three stages, in first stage the sensor nodes are classified into different clusters and each nodes having different weight based on distance from base station. In second stage the IRSS (Improvised Received Signal Strength) based scheme used select Routing path based on the Node weight, Residual Energy and Probability of Link Loss values of Relay Sensors. On the other side the channel estimation algorithm executed simultaneously with previous two stages. In final we are implementing the Data Logging based Scheduling and Routing scheme (DLSR) for WSN with Energy and Maximized Throughput. We are applying path recovery algorithm in presence of Void path or node failures. The proposed scheme additionally will form the virtual relay path to make communication with nearly zero loss. © 2017 IEEE.

关键词： Scheduling

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Noninvasive Glucose Sensor Based on Parity-Time Symmetry

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Physical Review Applied 2019年第4期11卷 044049-044049页

作者： Yun Jing Zhang Hoyeong Kwon Mohammad-Ali Miri Efthymios Kallos Helena Cano-Garcia Mei Song Tong Andrea Alu Department of Electrical and Computer Engineering The University of Texas at Austin Austin 78712 USA Department of Electronic Science and Technology Tongji University Shanghai 201804 China Department of Physics Queens College of the City University of New York Queens New York 11367 USA Physics Program Graduate Center City University of New York New York 10016 USA Medical Wireless Sensing Ltd London E1 2AX UK King’s College London London WC2R 2LS UK Photonics Initiative Advanced Science Research Center City University of New York New York 10031 USA Department of Electrical Engineering City College of The City University of New York New York 10031 USA

We discuss a noninvasive technique to detect glucose changes with enhanced sensitivity based on parity-time (PT) symmetry. We detect glucose level changes within the skin by measuring the frequency shift in the electromagnetic resonance induced within a PT-symmetric system that sandwiches the tissue sample under analysis. Even though the sample itself is lossy, and therefore, resonances would be damped, the introduction of balanced gain and loss enables an efficient sensing mechanism that bypasses the conventional limitations of passive sensing schemes. Our results indicate that the resonance shift can be made fairly linear with respect to the glucose concentration variations, and the expected accuracy is large. We also investigate a realistic system to implement the noninvasive PT-symmetric glucose sensor using loop antennas and negative impedance converters, exploring its sensitivity with respect to design errors and disorder.

关键词： Medical physics Optical parametric oscillators & amplifiers Optoelectronics Metamaterials Solid-state detectors PT-symmetry Microwave techniques Resonance techniques

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Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees

Meta-Learning for Optimization: A Case Study on the Flowshop...

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Congress on Evolutionary Computation

作者： Lucas Pavelski Myriam Delgado Marie-Eleonore Kessaci Graduate Program in Electrical and Computer Engineering Federal University of Technology of Parana Curitiba Brazil DAINF/CPGEI Federal University of Technology of Parana Curitiba Brazil CRIStAL Universite de Lille CNRS UMR Lille France

This work investigates the use of meta-learning for optimization tasks when a classic operational research problem (flowshop) is considered at the base level. It involves sequencing a set of jobs to be processed by machines in series aiming to minimize the time spent. There are various algorithms or metaheuristics proposed to solve flowshop instances and the choice of the best one usually demands time and resources. Meta-learning applied to algorithm recommendation can simulate specialists' choices as it provides a mapping between the problem characteristics (called meta-features) and the algorithm performance. This work proposes an approach for knowledge discovery operating on the performance of four metaheuristics (Hill Climbing, Tabu Search, Simulated Annealing, and Iterated Local Search) while solving several flowshop instances. Besides recommending the best metaheuristic for each instance, the proposed approach can also recommend well suited parameters values using an Irace-based training process. Despite the possibility of using complex meta-features and powerful machine learning technique, the first experiments have been conducted using simple low and high-level meta-features and a classic machine learning model called Classification and Regression Trees (CART) for the recommendation. Results show that the proposed approach is promising as the induced rules indicate that some metaheuristic parameters are preferable. Nevertheless, regarding the algorithm recommendation there is a lot of room for improvement.

关键词： Optimization Task analysis Search problems Approximation algorithms Decision trees Electronic mail Sequential analysis

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Nonlinear Isolators and Circulators Based on Networks of Coupled Resonators 12

Nonlinear Isolators and Circulators Based on Networks of Cou...

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12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018

作者： Sounas, D.L. Soric, J. Draguanno, G. Alu, A. University of Texas at Austin Department of Electrical and Computer Engineering AustinTX78712 United States Raytheon AndoverMA United States Johns Hopkins University Applied Physics Laboratory LaurelMD United States Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Department of Electrical Engineering City College of New York New YorkNY10031 United States

ISBN: (纸本)9781538647028

We present our recent results in the area of nonlinear nonreciprocal devices, including isolators and circulators. We show that the nonlinear isolators based on single Fano resonators are subject to a fundamental trade-off between transmission and isolation intensity range or bandwidth, stemming from time reversal symmetry. We also show how we can overcome this limitation by using multiple nonlinear resonators. Finally, we show that networks with many nonlinear resonators can also be used to realize more advanced devices, such as circulators. © 2018 IEEE.

关键词： Resonators

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Fundamental bounds on the operation of Fano nonlinear isolators

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Physical Review B 2018年第11期97卷 115431-115431页

作者： Dimitrios L. Sounas Andrea Alù Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 USA Photonics Initiative Advanced Science Research Center City University of New York New York 10031 USA Physics Program Graduate Center City University of New York New York 10016 USA Department of Electrical Engineering City College of The City University of New York New York 10031 USA

Nonlinear isolators have attracted significant attention for their ability to break reciprocity and provide isolation without the need of an external bias. A popular approach for the design of such devices is based on Fano resonators, which, due to their sharp frequency response, can lead to very large isolation for moderate input intensities. Here, we show that, independent of their specific implementation, these devices are subject to fundamental bounds on the transmission coefficient in the forward direction versus their quality factor, input power, and nonreciprocal intensity range. Our analysis quantifies a general tradeoff between forward transmission and these metrics, stemming directly from time-reversal symmetry, and that unitary transmission is only possible for vanishing nonreciprocity. Our results also shed light on the operation of resonant nonlinear isolators, reveal their fundamental limitations, and provide indications on how it is possible to design nonlinear isolators with optimal performance.

关键词： Electromagnetism Metamaterials Nonlinear optics

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Generative Adversarial Networks Enable Cross-Modality Super-Resolution in Fluorescence Microscopy

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Microscopy and Microanalysis 2019年第S2期25卷 1228-1229页

作者： Hongda Wang Yair Rivenson Yiyin Jin Zhensong Wei Ronald Gao Harun Günaydın Laurent A. Bentolila Comert Kural Aydogan Ozcan Electrical & Computer Engineering Department University of California Los Angeles Los Angeles USA Bioengineering Department University of California Los Angeles Los Angeles USA California NanoSystems Institute University of California Los Angeles Los Angeles USA Computer Science Department University of California Los Angeles Los Angeles USA Department of Chemistry and Biochemistry University of California Los Angeles Los Angeles USA Department of Physics Ohio State University Columbus USA Biophysics Graduate Program Ohio State University Columbus USA Department of Surgery David Geffen School of Medicine University of California Los Angeles Los Angeles USA.

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