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International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Kunyanuth Kularbphettong Rujijan Vichivanives Pannawat Kanjanaprakarn Jaruwan Chutrtong Nareenart Ruksuntorn Computer Science Program Suan Sunandha Rajabhat University Bangkok Thailand Faculty of Science and Technology Suan Sunandha Rajabhat University Bangkok Thailand Robotics Engineering program Faculty of Industrial Technology Suan Sunandha Rajabhat University Bangkok Thailand

This paper presents the use of natural language processing for the problem of information extraction and sentiment analysis. The dataset is from Twitter that has the information of people mentioning about COVID-19, this study has two tasks: (i) classification approach for information extraction task and (ii) deep learning approach for sentiment analysis task. In information extraction task, the data was gathered from twitter that related to COVID-19 information, and the sequence labelling method applied to classify text before giving it to classification algorithms (K-NN, Naïve Bayes, Decision Tree, Random Forest, and SVM). In sentiment analysis task, data was classified by convert the word into index and using word embedding, then to process deep learning algorithm (Bi-directional GRU). The accuracy of two tasks are 98% and 79% respectively.

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Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

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Stroke & Vascular Neurology 2022年第2期7卷 124-131页

作者： Deepthi Rajashekar Matthias Wilms M Ethan MacDonald Serena Schimert Michael D Hill Andrew Demchuk Mayank Goyal Sean P Dukelow Nils Daniel Forkert Biomedical Engineering Graduate Program Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada Department of Radiology Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Hotchkiss Brain Institute University of CalgaryCalgaryAlbertaCanada Department of Clinical Neurosciences University of CalgaryCalgaryAlbertaCanada Department of Electrical and Computer Engineering University of CalgaryCalgaryAlbertaCanada Department of Community Health Sciences Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Department of Medicine Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada Alberta Children's Hospital Research Institute University of CalgaryCalgaryABCanada

Background Lesion-symptom mapping(LSM)is a statistical technique to investigate the population-specific relationship between structural integrity and post-stroke clinical *** clinical practice,patients are commonly evaluated using the National Institutes of Health Stroke Scale(NIHSS),an 11-domain clinical score to quantitate neurological deficits due to *** far,LSM studies have mostly used the total NIHSS score for analysis,which might not uncover subtle structure–function relationships associated with the specific sub-domains of the NIHSS ***,the aim of this work was to investigate the feasibility to perform LSM analyses with sub-score information to reveal category-specific structure–function relationships that a total score may not *** Employing a multivariate technique,LSM analyses were conducted using a sample of 180 patients with NIHSS assessment at 48-hour post-stroke from the ESCAPE *** NIHSS domains were grouped into six categories using two *** was conducted for each category of the two groupings and the total NIHSS *** Sub-score LSMs not only identify most of the brain regions that are identified as critical by the total NIHSS score but also reveal additional brain regions critical to each function category of the NIHSS assessment without requiring extensive,specialised *** These findings show that widely available sub-scores of clinical outcome assessments can be used to investigate more specific structure–function relationships,which may improve predictive modelling of stroke outcomes in the context of modern clinical stroke assessments and neuroimaging.

关键词： patients score category

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Spin Absorption by In Situ Deposited Nanoscale Magnets on Graphene Spin Valves

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Physical Review Applied 2018年第4期10卷 044050-044050页

作者： Walid Amamou Gordon Stecklein Steven J. Koester Paul A. Crowell Roland K. Kawakami Program of Materials Science and Engineering University of California Riverside California 92521 USA School of Physics and Astronomy University of Minnesota Minneapolis Minnesota 55455 USA Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55455 USA Department of Physics The Ohio State University Columbus Ohio 43210 USA

An in situ measurement of spin transport in a graphene nonlocal spin valve is used to quantify the spin current absorbed by a small (250×750nm2) metallic island. The experiment allows for successive depositions of either Fe or Cu without breaking vacuum, so that the thickness of the island is the only parameter that is varied. Furthermore, by measuring the effect of the island using separate contacts for injection and detection, we isolate the effect of spin absorption from any change in the spin injection and detection mechanisms. As inferred from the thickness dependence, the effective spin current je=(2e/ℏ)js absorbed by Fe is as large as 108A/m2. The maximum value of je is limited by the resistance-area product of the graphene/Fe interface, which is as small as 3Ωμm2. The spin current absorbed by the same thickness of Cu is smaller than that for Fe, as expected given the longer spin-diffusion length and larger spin resistance of Cu compared to Fe. These results allow for a quantitative assessment of the prospects for achieving spin-transfer-torque switching of a nanomagnet using a graphene-based nonlocal spin valve.

关键词： Island Spin current Spin transfer torque Spintronics Ferromagnets Graphene Magnetic nanoparticles Spin valves

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Phase transition behavior in microcantilevers coated with M 1-phase VO2 and M2-phase VO2:Cr thin films

Phase transition behavior in microcantilevers coated with M ...

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作者： Rúa, Armando Cabrera, Rafmag Coy, Horacio Merced, Emmanuelle Sepúlveda, Nelson Fernández, Félix E. Department of Physics University of Puerto Rico Mayagüez 00681-9000 Puerto Rico Doctoral Program in Physics Graduate Center City University of New York New York 10016 United States Applied Materials Group Electrical and Computer Engineering Department Michigan State University E. Lansing MI 48824 United States

Silicon microcantilevers were coated by pulsed laser deposition with vanadium dioxide (VO2) (monoclinic M1 phase) and V 1-xCrxO2 with x near 0.024 (monoclinic M 2 phase), and their mechanical characteristics were studied as a function of temperature through the films' insulator-to-metal transition (IMT). The undoped VO2 films grew with (011)M1 planes parallel to the substrate, while Cr-doped VO2 films grew oriented with (201)M2 and (2 01)M2 planes parallel to the substrate. In both cases, the films transformed reversibly through the IMT to the tetragonal (rutile, R) phase, with film (110)R planes oriented parallel to the substrate. The fundamental resonant frequencies of the cantilevers were measured as the temperature was cycled from ambient temperature, through the IMT, and up to 100 °C. Very high resonant frequency changes were observed through the transition for both types of samples, with increases during heating of over 11 and over 15 for the cantilevers coated with pure and Cr-doped VO2, respectively. From the resonant frequencies measured at room temperature for the bare and coated cantilevers in each case, the effective Young's moduli of the films were determined. The values obtained, assuming bulk densities for the films, are 156 ± 7.5 GPa for VO2 (M1 phase) and 102 ± 3 GPa for Cr-doped VO2 (M2 phase). Strong curvature changes during the transition to the R phase were also observed for cantilevers coated with both types of films, but these were significantly higher in the case for the Cr-doped film. Curvature changes for temperature ranges outside the IMT region were small and attributed to differential thermal expansion between film and silicon substrate. From measured cantilever tip displacements in this post-transition range-for the undoped VO 2-coated microcantilevers-a rough estimate of 110 GPa was obtained for the effective Young's modulus for R-phase VO2. The substantially higher changes in resonant frequency and curvature for V1-xCr xO2-coated cant

关键词： Thin films

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What is Rensselaer's Metadatabase system? 3

What is Rensselaer's Metadatabase system?

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3rd International Conference on Cormputer Integrated Manufacturing, CIM 1992

作者： Hsu, Cheng Rubenstein, Alan Yee, Lester Babin, Gilbert Lawson, Nancy Hofmann, William Decision Sciences and Engineering Systems Rensselaer Polytechnic Institute TroyNY12180-3590 United States Computer Integrated Manufacturing Program Center for Manufacturing Productivity and Technology Transfer Rensselaer Polytechnic Institute TroyNY12180-3590 United States School of Management Rensselaer Polytechnic Institute TroyNY12180-3590 United States

ISBN: (纸本)0818626151

Integration has become a self-evident goal in today's manufacturing enterprises. Since the late 1970's, numerous major efforts have been launched worldwide to develop, employ, and deploy information technology for integration as a strategic weapon to compete in the global marketplace. This paper discusses a unique approach to the integration problem regarding metadata management, global query and concurrent systems administration. This approach has been shown to be effective in a prototype system, the Rensselaer Polytechnic Institute Metadatabase System. The metadatabase model incorporates both data and knowledge in order to accomplish information integration across manufacturing functions. The system's primary components and major functionalities are discussed and illustrated in detail through the use of an extended example of a pilot manufacturing system. © 1992 EEE.

关键词： Manufacture

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

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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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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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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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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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