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Interaction Between a Low-Temperature Plasma and Graphene: An in situ Raman Thermometry Study

Physical Review Applied 2021年第2期15卷 024018-024018页

作者： Carla Berrospe-Rodriguez Joseph Schwan Giorgio Nava Fariborz Kargar Alexander A. Balandin Lorenzo Mangolini Department of Mechanical Engineering University of California Riverside 900 University Ave. Riverside California 92521 USA Department of Electrical and Computer Engineering University of California Riverside 900 University Ave. Riverside California 92521 USA Materials Science and Engineering Program University of California Riverside 900 University Ave. Riverside California 92521 USA

The localized release of energy at the surface of plasma-exposed materials plays a crucial role in many plasma-driven processes. Unfortunately, the interaction between low-temperature plasmas and surfaces is both poorly understood and difficult to characterize. Here, we use Raman thermometry to measure the temperature of graphene during plasma exposure. We observe a significant increase in the graphene temperature even for modest input plasma powers. These results suggest that two-dimensional materials are effective surface probes for the quantitative characterization of plasma-induced heating effects and for further investigation of the plasma-surface interaction.

关键词： Chemical Physics & Physical Chemistry Heat transfer High-frequency & RF discharges in plasmas Plasma-solid interactions Temperature Graphene Low-temperature plasma Raman spectroscopy

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Byzantine fault tolerance for collaborative editing with commutative operations

Byzantine fault tolerance for collaborative editing with com...

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2016 IEEE International Conference on Electro Information Technology, EIT 2016

作者： Zhao, Wenbing Babi, Mamdouh William, Yang Luo, Xiong Zhu, Yueqin Jack, Yang Chaomin, Luo Yang, Mary Department of Electrical Engineering and Computer Science Cleveland State University ClevelandOH44115 United States Texas Advanced Computing Center University of Texas at Austin 10100 Burnet Road AustinTX78758 United States School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Development Research Center of China Geological Survey Ministry of Land and Resources Beijing100037 China Division of Biostatistics and Biomathematics Massachusetts General Hospital and Harvard Medical School BostonMA United States Department of Electrical and Computer Engineering University of Detroit Mercy DetroitMI48221 United States Department of Information Science George Washington Donaghey College of Engineering and Information Technology Joint Bioinformatics Program of University of Arkansas at Little Rock University of Arkansas for Medical Sciences 2801 S. University Avenue Little RockAR72204 United States

ISBN: (纸本)9781467399852

In this paper, we present a study on how to achieve Byzantine fault tolerance for collaborative editing systems with commutative operations. Recent research suggests that Conflict-free Replicated Data Types (CRDTs) can be used to construct collaborative editing systems where concurrent update operations are commutative. This new approach is shown to avoid the complex issue of conflict resolution for concurrent updates to a shared document. The shared document is often modeled as a linear text buffer where each basic element is assigned a globally unique and totally ordered identifier. The linear text buffer constructed this way would constitute as a CRDT, which would make concurrent update operations issued by different users commutative. State convergence at all users can be achieved automatically as long as the users could receive the same set of operations irrespective of their relative ordering. However, it is not straightforward to guarantee state convergence in the presence of malicious users and external adversaries. In this paper, we carefully analyze the threats towards this type of systems, and propose a lightweight solution to achieve Byzantine fault tolerance with low runtime overhead. We define a set of correctness properties for such systems and prove that the proposed Byzantine fault tolerance mechanisms guarantee these properties. © 2016 IEEE.

关键词： Fault tolerance

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An Economically Comparative Study of 12 MWp PV Floating and PV on-Ground Solar Farms in an Industrial Estate in Thailand

An Economically Comparative Study of 12 MWp PV Floating and ...

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Power and Renewable Energy engineering (PREE), International Conference on

作者： Worajak Bamrungsawat Pattarabordee Khaigunha Amnart Suksri Tanakorn Wongwuttanasatian Energy Engineering Program Faculty of Engineering Khon Kaen University Khon Kaen Thailand Department of Computer Engineering Faculty of Engineering Nakhon Phanom University Nakhon Phanom Thailand Department of Electrical Engineering Facuty of Engineering Khon Kaen University Khon Kaen Thailand Department of Mechanical Engineering Faculty of Engineering Khon Kaen University Khon Kaen Thailand

ISBN: (数字)9798350366808

ISBN: (纸本)9798350366815

This study focuses on the economic comparison between 12 MWp PV floating and PV on-ground solar farms in an industrial estate in Thailand. The objective is to evaluate the economic feasibility and electricity-produced efficiency of both systems. This study uses models for both power generation systems and collects data on investment and operational costs over a 20-year project lifespan, using a discount rate of 10% and a Time of Use (TOU) electricity rate for medium-sized businesses with a voltage of 22–33 kV, where the peak period rate is 0.113 USD/kWh and the off-peak period rate is 0.07 USD/kWh [1]. The evaluation uses indicators such as NPV, IRR, Payback Period, B/C Ratio, and sensitivity analysis under two scenarios: 1) the investment cost changes by ±5%, while 2) the electricity selling price changes by ±5% every 5 years during peak periods. The study found that the initial investment for PV floating power plants is 8.77 million USD, while PV on-ground power plants require an initial investment of 9.36 million USD. Economic evaluation reveals that PV floating has an NPV of 1.25 million USD > 0, an IRR of 12% > 10%, a payback period of 7.07 years, and a B/C ratio of 1.14 > 1, whereas PV on-ground has an NPV of 0.36 million USD > 0, an IRR of 11%, a payback period of 7.83 years, and a B/C ratio of 1.04> 1. When conducting sensitivity analysis under both scenarios, PV floating meets all criteria, whereas PV on-ground fails to meet the criteria when variables causing a decrease in net profit are applied. As a result, the study concludes that PV floating solar farms are more economically viable than PV on-ground solar farms in Thailand's industrial estates.

关键词： Economics Hands Renewable energy sources Costs Sensitivity analysis Electricity Solar farms Voltage Power generation Investment

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Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian two change points detection approach

Incipient fault detection in induction machine stator-windin...

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2010 9th IEEE/IAS International Conference on Industry Applications, INDUSCON 2010

作者： Moreira, Fabiano S. D'Angelo, Marcos F. S. V. Palhares, Reinaldo M. Caminhas, Walmir M. Federal University of Minas Gerais Graduate Program in Electrical Engineering Av. Antônio Carlos 6627 31270-901 - Belo Horizonte - MG Brazil Universidade Estadual de Montes Claros Department of Computer Science Av. Rui Braga s/n Vila Mauricéia 39401-089 - Montes Claros - MG Brazil

ISBN: (纸本)9781424480104

In this paper the incipient fault detection problem in induction machine stator-winding is considered. The problem is solved using a new technique of change point detection in time series, based on a three-step formulation. The technique can detect up to two change points in the time series. The first step consists of a Kohonen neural network classification algorithm that defines the model to be used, one change point or two change points. The second step consists of a fuzzy clustering to transform the initial data, with arbitrary distribution, into a new one that can be approximated by a beta distribution. The fuzzy cluster centers are determined by using the Kohonen neural network classification algorithm used in the first step. The last step consists in using the Metropolis-Hastings algorithm for performing the change point detection in the transformed time series generated by the second step with that known distribution. The incipient faults are detected as long as they characterize change points in such transformed time series. The main contribution of the proposed approach in this paper, related to previous one in the Literature, is to detect up to two change points in the time series considered, besides the enhanced resilience of the new fault detection procedure against false alarms, combined with a good sensitivity that allows the detection of rather small fault signals. Simulation results are presented to illustrate the proposed methodology. © 2010 IEEE.

关键词： Time series

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The matter of deep reinforcement learning towards practical ai applications 12

The matter of deep reinforcement learning towards practical ...

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12th International Conference on Ubi-Media Computing, Ubi-Media 2019

作者： Thaipisutikul, Tipajin Chen, Yi-Cheng Hui, Lin Chen, Sheng-Chih Mongkolwat, Pattanasak Shih, Timothy K. Department of Computer Science and Information Engineering National Central University Taiwan Department of Information Management National Central University Taiwan Department of Innovative Information and Technology Tamkang University Taiwan Master's Program of Digital Content and Technologies College of Communication National ChengChi University Taiwan Faculty of Information and Communication Technology Mahidol University Thailand

ISBN: (纸本)9781728128207

Reinforcement Learning (RL) is an extraordinarily paradigm that aims to solve a complex problem. This technique leverages the traditional feedforward networks with temporal-difference learning to overcome supervised and unsupervised real-world problems. However, RL is one of state-of-the-art topic due to the opaque aspects in design and implementation. Also, in which situation we will get performance gain from RL is still unclear. Therefore, This study firstly examines the impact of Experience Replay in Deep Q-Learning agent with Self-Driving Car application. Secondly, The impact of Eligibility Trace in RNN A3C agents with Breakout AI game application is studied. Our results indicated that these two techniques enhance RL performance by more than 20 percent as compared with traditional RL methods. © 2019 IEEE.

关键词： Reinforcement learning

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Computational approaches to analyzing and generating comics 42

Computational approaches to analyzing and generating comics

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42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020

作者： Upadhyayula, Aditya Martens, Chris Cardona-Rivera, Rogelio E. Hendrickson, Andrew T. Cohn, Neil Department of Psychological and Brain Sciences Johns Hopkins University United States Department of Computer Science North Carolina State University United States School of Computing The Entertainment Arts and Engineering Program University of Utah United States Department of Cognitive Science and Artificial Intelligence Tilburg University Netherlands Department of Cognition and Communication Tilburg University Netherlands

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Mathematical Model and Fabrication of Multi-Layer Electrochemical Glucose Sensors

Mathematical Model and Fabrication of Multi-Layer Electroche...

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作者： Croce, Robert A. Vaddiraju, Santhisagar Legassey, Allen Papadimitrakopoulos, Fotios Jain, Faquir C. Biorasis Inc. 1392 Storrs Road StorrsCT United States Nanomaterials Optoelectronics Laboratory Polymer Program Institute of Materials Science University of Connecticut StorrsCT United States Department of Chemistry University of Connecticut StorrsCT United States Department of Electrical and Computer Engineering University of Connecticut StorrsCT United States

The design and fabrication of multi-layer amperometric electrochemical glucose sensors is dependent upon the diffusional kinetics of the chemical/biochemical species which contribute to the sensor's response. Considerable effort has been carried out to coat the working electrode with appropriate glucose flux-limiting membranes which is pertinent for superior in vivo performance, and hence requires a careful understanding of the participating species within the sensor cross-sectional architecture. This contribution reports the computational modeling of Clark's first generation amperometric glucose sensor coated with an electro-polymerized glucose oxidase (GOx) layer along with a layer of polyurethane (PU) employed to reduce the glucose-influx in order to generate linear operation over the normal physiological glucose range in vivo. The model was programmed using MATLAB and utilizes the finite-difference method for the solution to the enzymatic reaction-based diffusion equations. Additionally, experimental devices were fabricated, tested and compared with the simulated results. The simulation of these devices have been shown to align well with experimentally fabricated devices in terms of amperometric current density. The increase in device linearity with the addition of the outer glucose-flux limiting PU membrane corroborate our experimental findings reported in this study which can be used as a powerful analytical tool in designing high-performance next generation implantable glucose sensors. © 2015 World Scientific Publishing Company.

关键词： Glucose sensors

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A Machine Vision-Based Deep Learning Inference Approach of Biker Safety Hat Detection System 7

A Machine Vision-Based Deep Learning Inference Approach of B...

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7th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2020

作者： MacAlisang, Jonel Ordovez, Dennis P. Ledda, Mark Kristian C. Melegrito, Mark P. Obon, Ana Marie C. Technological University of the Philippines Technology Licensing Office- ITSO Manila Philippines EARIST General Education-Computer Department Manila Philippines Don Mariano Marcos Memorial State University Graduate Studies La Union Philippines Technological University of the Philippines Department of Electronics and Communications Engineering Manila Philippines University of the East Graduate Program Manila Philippines

ISBN: (纸本)9780738105048

In the Philippines road accidents were prevalent among motorcycle riders. The motorcyclist was required to wear their helmet when on the road. Some motorcyclists didn't follow the rules on wearing a helmet as safety precautions on the road. To address this, policymakers are focusing on enforcing safe and law-abiding behavior in traffic. There is, however, a lack of comprehensive data on the safety-critical behavioral metric of the use of motorcycle helmets, especially in developing countries where the main mode of transport is the motorcycle. Targeted enforcement and safety campaigns that are critical for accident reduction are prohibited by this shortage of knowledge. Hence, The researchers developed an algorithm for detecting the helmet that was worn by the motorcyclist, by using a deep learning approach the object detection was done successfully. Based on the annotated images, frames of video, and live feed data that was collected, To detect active bikes, the researchers taught the algorithm to use their helmets. An overview of the algorithm's success on an annotated research data set and a study of available data on the use of human-registered helmets indicate that our approach is extremely reliable. © 2020 IEEE.

关键词： Object detection

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Digital Dictionary Using Binary Search Algorithm 1

Digital Dictionary Using Binary Search Algorithm

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1st International Conference on computer Science and Applied Mathematic, ICCSAM 2018

作者： Fitrian, Riski Muhamad Taufik, Insan Ramadhan, Muhammad Sabir Mulyani, Neni Hutahaean, Jeperson Sitio, Arjon Samuel Sihotang, Hengki Tamando Teknik Informatika STMIK Pelita Nusantara Medan Sumatera Utara Indonesia Doctoral Program Vocational Technology Education Postgraduate Engineering Faculty Padang State University Padang West Sumatera Indonesia Sistem Informasi STMIK Royal Kisaran Sumatera Utara Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

Digital Dictionary of computer and Network engineering can be used in the learning process of computer and nerwork enginering students. Dictionaries are generally book-shaped is hard to carry because of their thick and heavy, now can be accessed anywhere by development of web technology. Digital dictionaries can be accessed through computers, laptops dan cellphones, this is make student easily in learning process. The digital dictionary can not only be used by students of computer and network engineering, but can also by general public, as long as you have an internet connection, anyone can be use this digital dictionaries. The main process in this digital dictionary is the search process. Binary search algorithm used in the search process of binary search algoritm. Binary search algoritm search is applied to word search in this digital dictionary, because this algoritm is intended for sequintal data. program language that will be used to build this digital dictionary is PHP and MySQL. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Picosecond response of metal-semiconductor-metal ultraviolet phootodiodes

Picosecond response of metal-semiconductor-metal ultraviolet...

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Conference on Lasers and Electro-Optics, CLEO

作者： Li, Jianliang Donaldson, W.R. Hsiang, T.Y. University of Rochester Material Science Program Laboratory for Laser Energetics 250 East River Road Rochester NY 14623 United States Laboratory for Laser Energetics University of Rochester 250 East River Road Rochester NY 14623-1299 United States Department of Electrical and Computer Engineering University of Rochester Rochester NY 14627 United States

We studied the ultrafast response in metal-semiconductor-metal ultraviolet photodiodes fabricated on GaN. The best performance of a device with 1-μmn finger width and spacing showed a 3.5-ps response. The pulse width... 详细信息

关键词： Photodiodes

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