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arXiv 2024年

作者： Albanwan, Hessah Graduate Program in Civil Engineering The Ohio State University United States

Remote sensing (RS) images play an important role in monitoring and surveying the earth’s surface at varying spatial scales. Continuous observations from various remote sensing sources over time complement single observations and provide better interpretability and analyzability for various applications. A critical need is to fuse these observations into single or multiple images that are more informative, accurate, complete, and coherent. Studies have intensively investigated spatial-temporal fusion for specific applications, such as pan-sharpening and spatial-temporal fusion of remote sensing images for time-series image analysis. Today, fusion methods have exceeded these typical applications, extending to encompass and accommodate different types of images, modalities, and tasks. Typically, fusion methods are expected to be robust and able to adapt to various types of images (e.g., spectral image, classification maps, and elevation maps) and scene complexities. In this work, we present a few solutions to improve the performance of existing fusion methods by adapting to gridded data with multimodality and considering their type-specific uncertainties. The main contributions of this work include the following: 1) A spatial-temporal filtering method that addresses the spectral heterogeneity of multitemporal images. 2) Three-dimensional (3D) iterative spatiotemporal filtering that enhances the spatiotemporal inconsistencies of classification maps. 3) Adaptive semantic-guided fusion that enhances the accuracy of DSMs, and an analysis of the adaptive fusion approaches comparing them with traditional nonadaptive approaches to show the significant importance of adaptive methods to boost the performance of fusion. 4) A comprehensive analysis of deep learning (DL) stereo matching methods against traditional Census semi-global matching (SGM) to obtain detailed knowledge on the accuracy of the DSMs at the stereo matching level. We analyze the overall performance, robustness,

关键词： Remote sensing

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Agent-Based Modeling for Forest Fire Simulation in Chiang Mai, Thailand 23

Agent-Based Modeling for Forest Fire Simulation in Chiang Ma...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Tappanom, Teerapat Leelawat, Natt Saengtabtim, Kumpol Tang, Jing Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9798350353952

Forest fires have a significant impact on ecosystems and human life, especially in northern Thailand, where Chiang Mai is severely affected. Traditional methods for detecting forest fires have limitations, so there is a need for advanced simulation models. This research uses Agent-Based Modeling (ABM) to develop a forest fire simulation for Chiang Mai. The methodology involves collecting historical data, performing Multiple Regression Analysis, designing the simulation, and testing it. Data from 1998 to 2021, including temperature, relative humidity, wind speed/direction, burn area, and slope, were collected from various sources. Multiple regression analysis identified wind speed as the most significant factor affecting burn area. The forest fire simulation, designed using ZF Wang's spread model and tested with AnyLogic, showed that wind direction and speed are crucial in fire spread. The simulation accurately predicted high-risk areas, helping in proactive planning and response. This study confirms that wind is a critical factor in forest fire spread, providing a valuable tool for fire districts to improve preparedness and management. Future research should focus on refining the model with localized data and integrating real-time detection to improve its accuracy and applicability. © 2024 IEEE.

关键词： Forest ecology

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Development of a Mixed-Reality Dual-User Training System for Robot Laparoscopic Surgery

Development of a Mixed-Reality Dual-User Training System for...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Chen, Ting-You Young, Kuu-Young Graduate Degree Program of Robotics National Yang Ming Chiao Tung University Hsinchu Taiwan National Yang Ming Chiao Tung University Department of Electrical Engineering Hsinchu Taiwan

ISBN: (纸本)9781665410205

As robot surgery becomes more popular these days, it consequently solicits a high demand on its training system. Currently, most of the systems are intended for personal training, while it may be more effective if an experienced expert can also be involved. It thus motivates us to propose a dual-user robotic surgical training system that can closely link the mentor and trainee together. The system is developed in a mixed-reality environment that integrates the information from both the virtual and real worlds. The haptic feedback and virtual fixtures are employed for assistance during skill transfer. The proposed system can assess the proficiency level of the trainee for the mentor to provide proper assistance during training. The experimental results demonstrate that the proposed system is capable of enhancing the trainee's ability for surgery. Especially, similar effectiveness is observed during comparative studies with direct hands-on guidance frequently adopted for skill transfer during sport training. © 2024 IEEE.

关键词： Robotic surgery

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Effect of Yttrium Treatment on Germanium-Oxide-Based Interfacial Layer of Ge P-Channel Metal–Oxide–Semiconductor Field-Effect Transistor Fabricated Through In Situ Plasma-Enhanced Atomic Layer Deposition

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IEEE Transactions on Electron Devices 2024年第3期71卷 1-6页

作者： Li, Hui-Hsuan Lin, Kuan-Yu Tsai, Yi-He Lin, Yu-Hsien Chien, Chao-Hsin Institute of Electronics National Yang Ming Chiao Tung University Hsinchu Taiwan Graduate Program for Nanotechnology Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Electronic Engineering National United University Miaoli Taiwan

This study investigated the effect of yttrium (Y) treatment on a germanium (Ge)-oxide-based interfacial layer (IL) through in situ plasma-enhanced atomic layer deposition (PEALD). Time-of-flight secondary-ion mass spectrometry revealed that the surface reaction and deposition could be successfully performed with a Y precursor, and X-ray photoelectron spectroscopy (XPS) revealed that Y treatment on an IL can suppress GeO

$_{\text{x}}$

volatilization. A metal–oxide–semiconductor capacitor gate-stack with a Y-GeO

$_{\text{x}}$

IL has a low leakage current density (2.1

$\times$

$^{-\text{5}}$

A/cm

$^{\text{2}}$

) and a low interface trap density (approximately 5.5

$\times$

$^{\text{11}}$

$^{-\text{1}}$

$^{-\text{2}}$

) under optimized temperatures. Moreover, the Ge P-channel metal–oxide–semiconductor field-effect transistor (P-MOSFET) containing a gate-stack with a Y-treated Ge-oxide-based IL exhibited a high I

$_{\biosc{on}}$

$_{\biosc{off}}$

ratio and low OFF-state current. Therefore, applying the proposed Y treatment on the IL of a Ge P-MOSFET can help achieve a subnanometer equivalent oxide thickness (EOT) and an

关键词： Ge-oxide-based germanium germanium oxide (GeOx) in situ interfacial layer (IL) plasma-enhanced atomic layer deposition (PEALD) Y-GeOx yttrium

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The use of long short-term memory models to estimate soybean pricing: a regional climate data evaluation from Brazil

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IEEE Access 2025年 13卷 101869-101884页

作者： Oliva, Jefferson Tales Martelli, Otavio Pigozzo Barbosa, Marco Antonio De Castro Molin, Viviane Dal Casanova, Dalcimar Teixeira, Marcelo Federal University of Technology-Paraná Graduate Program in Electrical and Computer Engineering Pato Branco Brazil Federal University of Technology-Paraná Department of Academic Informatics Pato Branco Brazil Federal University of Technology-Paraná Graduate Program in Production and Systems Engineering Pato Branco Brazil

This work uses machine learning methods to analyze the influence of the Brazilian climate on international soybean price variability. For this purpose, climatic data, historical series of the extended national consumer price index, dollar price historical series, soybean harvest historical series, and international soybean price historical series are collected from different data sources. The data is then preprocessed and grouped by state. Afterward, data from the five most productive Brazilian states, Mato Grosso (MT), Mato Grosso do Sul (MS), Goiás (GO), Paraná (PR), and Rio Grande do Sul (RS), which together correspond to 74.9% of total production, are chosen. Then, predictive models were built using the long short-term memory (LSTM) method, which is applied to each state dataset considering two different settings: with and without climatic data. Thus, two models were built for each Brazilian state, totaling ten predictors. These models are evaluated using 10-fold sequential split cross-validation, whose predictive results are used for performance comparison through statistical hypothesis testing. In the experimental evaluation, when trained with climatic data, the PR model achieved the lowest average values of root mean squared error (RMSE) and mean absolute error (MAE), which are 20.90 and 16.72, respectively. Regarding predictors trained without climate data, the RS and PR obtained the lowest averaged values of RMSE (20.84) and MAE (16.81), respectively. After performing statistical hypothesis tests, no significant differences were found between the models, stating, with certainty 95%, that the Brazilian climatic data did not influence soybean prices in our study. © 2013 IEEE.

关键词： Brazilian Climatic Data Long-Short Term Memory Machine Learning Soybean Time Series

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INFLUENCE OF TORREFACTION SEVERITY ON WOOD BLEND FROM AMAZONIAN RESIDUES 31st

INFLUENCE OF TORREFACTION SEVERITY ON WOOD BLEND FROM AMAZON...

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31st European Biomass Conference and Exhibition, EUBCE 2023

作者： Souto, Normando P. B. Chaves, Bruno S. Macedo, Lucélia A. Lamas, Giulia Cruz Barbosa, Thais de Rodrigues, Pedro Paulo O. Cardoso, Marcela Rodrigues Rousset, Patrick Silveira, Edgar A. Military Institute of Engineering Nuclear Engineering Graduate Program Rio de Janeiro Brazil Brasilia DF 70818-900 Brazil University of Brasília Mechanical Sciences Graduate Program Laboratory of Energy and Environment Brasilia-DF 70910-900 Brazil 73 Rue J. F. Breton Cedex 5 Montpellier34398 France

This study investigated and characterized the torrefaction treatment of Amazonian wood residues blend. Six wood residue materials from legal wood processing from the Jacundá National Forest (Rondônia, Brazil) were blended and torrefied at 225, 250 and 275 °C for 60min in an inert atmosphere (N2). The wood residues comprised Peltogyne lecointei (S1), Erisma uncinatum (S2), Martiodendron elatum (S3), Handroanthus incanus (S4), Dipteryx odorata (S5), and Allantoma decandra (S6). The solid yield (SY) and torrefaction severity index (TSI) were applied to evaluate the torrefaction process severity. The pyrolysis of torrefied biomass and chemical analysis (proximate, ultimate, and calorific) allowed to evaluate the influence of torrefaction severity on the blend. The preliminary results showed that torrefaction temperature highly affects the blended samples, with a weight loss of 4.9% for 225 °C and 34.96% for 275 °C torrefaction. A goodness of fit was achieved between the calculated TSI and volatile matter (R2 =0.99), fixed carbon (R2 =0.99), and ash contents (R2 =0.93). HHV showed an improvement of up to 7% for 275 °C torrefaction. The results provided valuable information to determine the process parameters for further torrefaction and pelletizing processes (TAP) aiming at fuel production in decentralized systems, reducing diesel dependence on the Amazon region. © 2023 ETA-Florence Renewable Energies.

关键词： Blending

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Estimation Algorithms for MLE of Three-Mode GMANOVA Model with Kronecker Product Covariance Matrix 15th

Estimation Algorithms for MLE of Three-Mode GMANOVA Model ...

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15th International KES Conference on Intelligent Decision Technologies, KESIDT 2023

作者： Horikawa, Keito Nagai, Isamu Monden, Rei Yanagihara, Hirokazu Informatics and Data Science Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Higashi-Hiroshima739-8521 Japan Faculty of Liberal Arts and Science Chukyo University Aichi Nagoya466-8666 Japan Mathematics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Higashi-Hiroshima739-8526 Japan

ISBN: (纸本)9789819929689

Currently, there are a lot of measurement data on different items collected over time. The GMANOVA model is appropriate for analyzing the trends in such data, in order to analyze some longitudinal data collected on different items simultaneously, we need to create separate GMANOVA models, but separate GMANOVA models cannot reveal the relationships between items. Also, if we try to apply one model to all of these data, the problem arises that there are too many parameters and the covariance structure is too large. Therefore, we propose an extended GMANOVA model and two estimation algorithms. The proposed model’s covariance matrix has a Kronecker structure. Therefore, because the estimator cannot be uniquely determined using the log-likelihood, we propose two parameter estimation algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Covariance matrix

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Low Polarization Loss of Long Endurance on Scavenged Ru-Based Electrode Ferroelectric Hf0.5Zr0.5O2by Optimizing TiNxInterfacial Capping Layer and Its Fatigue Mechanism

IEEE Electron Device Letters

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IEEE Electron Device Letters 2024年第4期45卷 673-676页

作者： Senapati, Asim Lou, Zhao-Feng Lee, Jia-Yang Chen, Yi-Pin Huang, Shih-Yin Maikap, Siddheswar Lee, Min-Hung Liu, Chee-Wee Department of Electronic Engineering Guishan33302 Taiwan National Taiwan University Program for Semiconductor Devices Materials and Hetero-Integration Graduate School of Advanced Technology Taipei106319 Taiwan School of Traditional Chinese Medicine College of Medicine Taoyuan33302 Taiwan Department of Obstetrics and Gynecology Anle 204 Taiwan Chang Gung University College of Medicine Taoyuan33302 Taiwan The Graduate School of Advanced Technology Department of Electrical Engineering Taipei10617 Taiwan

Double remnant polarization (2Pr values are increased significantly from 17.1μC/cm2 to 39.9μC/cm2 by reducing the TiNx interfacial capping layer (ICL) thickness from 3 nm to 1 nm in the Ru/TiNx/Hf0.5 Zr0.5O2(HZO)/TiN structure owing to lower monoclinic (m) phase with respect to orthorhombic (o) plus rhombohedral (r) phases. These phases are observed by geometrical phase analysis (GPA) of high-resolution transmission electron microscope (HRTEM) images. An optimized 2 nm TiNx ICL ferroelectric memory shows lowest fatigue and mechanism is higher m-phase starting to grow from the HZO/TiN BE interface, which is evidenced in the HRTEM image after long endurance of 1011 cycles under high ±4 MV/cm, 0.5μs (remaining higher 2Pr value of 20μC/cm2). © 1980-2012 IEEE.

关键词： Electrodes

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The Effect of WebRTC Jitter Buffer on Cloud Streaming Game QoE

The Effect of WebRTC Jitter Buffer on Cloud Streaming Game Q...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Naoyasu Kaneko Toshiro Nunome Department of Engineering Computer Science Program Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

This paper considers a cloud streaming game using WebRTC. Since the cloud streaming game consists of a server and a client, the network quality between them affects the game. Among the network quality degradation factors, we focus on delay jitter. We reduce the effect of the jitter by buffering. We conduct a subjective experiment of a single-player action game and evaluate application-level QoS and QoE. We investigate the impact of buffering on the video and audio quality of the user playing the game.

关键词： Degradation Games Quality of service Jitter Streaming media Cloud gaming Delays Quality of experience Servers WebRTC

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On the Effect of Peak Current-Front Time Correlation Expressions for the Assessment of the Lightning Performance of Transmission Lines 17

On the Effect of Peak Current-Front Time Correlation Express...

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17th International Symposium on Lightning Protection, SIPDA 2023

作者： Silveira, Fernando H. Bichara, Pedro M. Oliveira, Joao Marcos C. Visacro, Silverio Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais LRC -Lightning Research Center MG Belo Horizonte31270-901 Brazil

ISBN: (纸本)9798350357790

This work evaluates the influence of considering correlation expressions between peak current and current front time of negative first return strokes on the assessment of the lightning performance of transmission lines in terms of backflashover occurrence. The analyses were performed considering computational simulations with the Hybrid Electromagnetic model and the integration method for transmission lines of voltage level of 230 kV and 500 kV. The results confirmed the estimation of higher critical currents when assuming the correlation expressions in relation to the use of the median current front time, though this difference does not impact significantly the resulting lightning performance. The larger differences occurred for those cases with probability of backflashover of the order of 1 % and lower. Also, the results indicated that the use of correlation expressions may lead to critical currents larger than 200 kA, which extrapolates significantly the available data of measured negative first stroke currents in instrumented towers. For these cases, truncating the analyses to a 200-kA critical current would lead to results in terms of backflashover probability compatible to those considering the median current front time. © 2023 IEEE.

关键词： Electric lines

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