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9th International Conference on Applying New Technology in Green Buildings, ATiGB 2024

作者： Irwansyah, Irwansyah Hendri, Darwin Maulana, Muhammad Rizki Indriani, Aulia Saputra, Maidi University of Teuku Umar Dept. of Mechanical Engineering Aceh Indonesia University of Syiah Kuala Dept. of Mechanical and Industrial Eng. Aceh Indonesia University of Syiah Kuala Dept. of Mechanical Engineering Graduate Program Aceh Indonesia

ISBN: (纸本)9798331505042

The aim of this study is to investigate the extracted Nypa fruticans as an alternative biomaterial used for 3D printing application in the biomedical and pharmaceutical. An important substances that was extracted from nipa palm fruit is galactomannan, a water-soluble heteropolysaccharide. It was considered to the polysaccharide-based polymer material used to fabricate scaffold tissue by 3D printing approach for medical purposes. Emphasis was placed on the synthesis and characterization of extracted nypa fruticans as the primary material, along with glycerol and sorbitol serving as polimerization agents. Extracted nypa with 3%, 5% and 10% amout of variation glycerol and sorbitol was evaluated. The experimental procedures conducted in the laboratory facilitated the isolation, production, purification, and fabrication of the extracted nypa polymer gels. Various properties of the nypa compounds and chemical composition through Fourier-transform infrared (FTIR) Spectrometry were analyzed. Findings indicated that extracted nypa refer to ether bonds (CH2-O- CH2) observed at 875.04 cm-1, identifying compound is galactomannan. This substance is classified within the polysaccharide category due to the appearance of peaks within the range of 900 to 1200cm-1. The incorporation of different amount percentage of glycerol and sorbitol, resulted in distinct impacts on the geometry of 3D printing scaffold material laying down. © 2024 IEEE.

关键词： Glycerol

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QoE Comparison between Multi-User OFDMA and Reliable Groupcast for Wireless LAN Audiovisual Transmission

QoE Comparison between Multi-User OFDMA and Reliable Groupca...

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IEEE Region 10 Symposium

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

ISBN: (数字)9798350364866

ISBN: (纸本)9798350364873

This paper compares video and audio QoE of OFDMA multi-user transmission and reliable groupcast over wireless LAN. We assume video and audio transmission to several terminals simultaneously. As a reliable groupcast method, we employ Unsolicited Retry, a technique of IEEE 802.11aa GroupCast with Retries. We utilize IEEE 802.11ax for OFDMA transmission. We evaluate application-level QoS by computer simulation. We then assess QoE through a subjective experiment with video and audio streams generated by the output timing obtained from the simulation. We notice that each method has a situation to be applied appropriately.

关键词： Degradation Wireless LAN Receivers Quality of service Streaming media Media Timing Reliability Quality of experience Streams

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Frequency data driven optimal design of different PI control structures for a multivariable process ⁎

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IFAC-PapersOnLine 2024年第7期58卷 376-381页

作者： Anna Paula V. de A. Aguiar Egydio Tadeu G. Ramos George Acioli Péricles R. Barros Electrical Engineering Department Federal University of Campina Grande Brazil Post-Graduate Program in Electral Engineering Electrical Engineering Department Federal University of Campina Grande Brazil

Multivariable process are commonly found in industry. The coupling between the different loops makes the control design difficult. In this article, an optimization problem based on the frequency response of the process is used to designed three different multivariable PI control structures. These structures are: centralized control, decentralized control and decentralized controller plus simplified decoupler. To facilitate the centralized control implementation, it is implemented as a decentralized controller plus simplified decoupler. The decoupler is designed using an approximate first-order plus time delay process model. These structures are applied to control a continuous stirred tank reactor with a Van de Vusse chemical reaction, and performance indices are used to compare the obtained results.

关键词： Process control multivariable control PID control

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Polymethyl Methacrylate-based Light Collector for Enhanced Indoor Visible Light Communication

Polymethyl Methacrylate-based Light Collector for Enhanced I...

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Optics and Photonics Conference (SBFoton IOPC), SBFoton International

作者： David Esteban Farfán-Guillén João Pedro Duarte Jankosz Neri Volpato Alexandre de Almeida Prado Pohl Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University Technology-Parana Curitiba Brazil Graduate Program in Mechanical Engineering and Material Science Federal University Technology-Parana. Curitiba Brazil

A new polymethyl methacrylate-based light collector has been designed and fabricated with additive manufacturing to optimize the efficiency of VLC systems. It enhances the area of detection, leading to a ~ 1.9x increa... 详细信息

ISBN: (数字)9798350388176

ISBN: (纸本)9798350388183

关键词： Optical device fabrication Optical variables measurement Three-dimensional printing Optics Optical receivers Optical sensors Reliability Visible light communication Testing Photonics

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New microbial electrosynthesis system for methane production from carbon dioxide coupled with oxidation of sulfide to sulfate

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Journal of Environmental Sciences 2023年第3期125卷 786-797页

作者： Hiromi Kambara Ha T.T.Dinh Shuji Matsushita Yoshiteru Aoi Tomonori Kindaichi Noriatsu Ozaki Akiyoshi Ohashi Department of Civil and Environmental Engineering Graduate School of EngineeringHiroshima University1–4–1KagamiyamaHigashi-HiroshimaHiroshima 739–8527Japan Faculty of Environment Ho Chi Minh City University of Natural Resources and Environment236 Le Van Sy1 WardTan Binh DistrictHo Chi Minh CityVietnam Agricultural Technology Research Center Hiroshima Prefectural Technology Research Institute6869HaraHachihonmatsuHigashihiroshimaHiroshima 739–0151Japan Program of Biotechnology Graduate School of Integrated Sciences for LifeHiroshima University1–3–1KagamiyamaHigashi-HiroshimaHiroshima 739–8530Japan Department of Civil and Environmental Engineering Graduate School of Advanced Science and EngineeringHiroshima University1–4–1KagamiyamaHigashi-HiroshimaHiroshima 739–8527Japan

Microbial electrosynthesis system (MES) is a promising method that can use carbon dioxide,which is a greenhouse gas,to produce methane which acts as an energy source,without using organic ***,this bioelectrical reduction reaction can proceed at a certain high applied voltage when coupled with water oxidation in the anode coated with metallic *** coupled with the oxidation of HS–to SO_(4)^(2-),methane production is thermodynamically more feasible,thus implying its production at a considerably lower applied *** this study,we demonstrated the possibility of electrotrophic methane production coupled with HS–oxidation in a cost-effective bioanode chamber in the MES without organic substrates at a low applied voltage of 0.2 *** addition,microbial community analyses of biomass enriched in the bioanode and biocathode were used to reveal the most probable pathway for methane production from HS–*** the bioanode,electroautotrophic SO_(4)^(2-)production accompanied with electron donation to the electrode is performed mainly by the following two steps:first,incomplete sulfide oxidation to sulfur cycle intermediates (SCI) is performed;then the produced SCI are disproportionated to HS^(–)and SO_(4)^(2-).In the biocathode,methane is produced mainly via H_(2)and acetate by electronaccepting syntrophic bacteria,homoacetogens,and acetoclastic ***,a new ecofriendly MES with biological H_(2)S removal is established.

关键词： Microbial electrosynthesis system Low applied voltage Organic substrates Methane production Sulfur oxidation

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A Physical-Based Artificial Neural Networks Compact Modeling Framework for Emerging FETs

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IEEE Transactions on Electron Devices 2024年第1期71卷 223-230页

作者： Yang, Ya-Shu Li, Yiming Kola, Sekhar Reddy Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory The Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Institute of Communications Engineering Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan

We report a compact modeling framework based on the Grove-Frohman (GF) model and artificial neural networks (ANNs) for emerging gate-all-around (GAA) MOSFETs. The framework consists of two ANNs;the first ANN constructed with the drain current model not only can capture the main trend of device I - V characteristics but also can predict its variation even when the amount of training data for the ANN is insufficient or outside the range of applied biases. The second one is then designed to improve the model accuracy by further minimizing the errors between the target and the model outputs. We implement the proposed framework to accurately model emerging GAA nanosheet (NS) MOSFETs and complementary FETs (CFETs) without suffering from divergent issues in circuit simulation. In addition, nonphysical behaviors, such as nonzero current at zero bias, do not occur in the modeling framework. Compared to recently reported machine-learning (ML) models, our approach can achieve a similar level of model accuracy with merely 20% amount of the training data. © 1963-2012 IEEE.

关键词： Neural networks

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Function Based Damage Resistance Modeling for Multi-Phase CPS System Reliability 29

Function Based Damage Resistance Modeling for Multi-Phase CP...

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29th ISSAT International Conference on Reliability and Quality in Design, RQD 2024

作者： Lin, Huizhong Zhu, Mengmeng Department of Textile Engineering Chemistry and Science North Carolina State University RaleighNC United States Operations Research Graduate Program North Carolina State University RaleighNC United States

ISBN: (纸本)9798986576138

The damage resistance cyber-physical system (CPS) has gained growing attention in research communities. Recent studies typically describe a system's resistance to shock damage using a constant factor ranging from 0 to 1, which may not accurately represent the system's true resistance due to operational intricacies. This paper introduces a resistance function employing a logarithmic form to illustrate the system's dynamic resistance to shock damage. Initially, we present the process of modeling this resistance function and examine its statistical characteristics. Subsequently, we expand upon the three types of non-fatal shocks outlined in previous studies, applying them to a multi-phase context and exploring the impact of each type of non-fatal shock across the system's three degradation phases. Using the proposed resistance function, we formulate an explicit solution for a damage resistance multiphase system reliability model. Finally, numerical examples are provided to show that the reliability model developed offers a good depiction of the system's reliability characteristics. © Conference Proceedings of the 29th ISSAT International Conference on Reliability and Quality in Design, RQD 2024.

关键词： Shock problems

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On the choice of current wavefront parameters to assess the lightning performance of transmission lines: the use of correlation expressions and median parameters 37

On the choice of current wavefront parameters to assess the ...

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37th International Conference on Lightning Protection, ICLP 2024

作者： Silveira, Fernando H. Pires, Laura C.S. Visacro, Silverio LRC - Lightning Research Center Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 MG Belo Horizonte31270-901 Brazil

ISBN: (纸本)9783800764174

A discussion on the choice of current wavefront parameters to be applied on calculation procedures for the assessment of the lightning performance of transmission lines in terms of backflashover is presented, considering computational simulations with the CIGRE concave waveform and two distinct approaches: (i) the correlation among peak current, front time and maximum steepness, and (ii) front time assumed as an independent and constant parameter equal to the median value. The results considering simulations with 138 kV and 500 kV TLs indicate that adopting concave current waveforms with front time equal to the median Td30 leads to critical peak currents and probability of backflashover very similar to those obtained when the correlation among front time parameters is taking into account, mainly for those conditions of interest to the lightning performance assessment. The larger differences occurred for those cases with probability of backflashover of the order of 1% and lower. On the other hand, the resulting critical maximum steepness diverge in most of cases for those expected by the correlation expressions, but this behaviour did not impact the calculated lightning performance. © 2024 IEEE, © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Wavefronts

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Mapping the Optimal Sites for Offshore Wind Power Plants and Green Hydrogen Production: South and Southeast Brazilian Case Study 32

Mapping the Optimal Sites for Offshore Wind Power Plants and...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Paula, Karen De Pumalloclla, Hayro Pourakbari-Kasmaei, Mahdi Melo, Joel D. Falcao, Djalma Federal University of ABC Graduate Program in Energy Santo André Brazil Aalto University Dept. Electrical Engineering and Automation Espoo Finland Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9798350399714

The demand for renewable energy solutions has become a global trend due to the current climate change scenario and the increased demand for electricity. Hence, in several countries, the share of renewable sources in the electric matrix has grown with the insertion of new energy sources, such as offshore wind. Brazil presents optimal conditions for the construction of offshore wind farms. The Brazilian 10-year Energy Expansion Plan 2029, in addition to placing this source as an expansion for the coming years, intensely focuses on hydrogen. For this reason, this study aims to assist planners and agents interested in running new construction projects of offshore wind farms with green hydrogen production. Such a study case seeks better use of the available wind resources in the high energy consumption regions of Brazil's South and Southeast, assessing the wind resource considering technical, environmental, social, and economic restrictions to identify the best locations for installing wind farms. As such, it processes the data within a geographic information system, and then a fuzzy logic-based model is used for the joint evaluation of constraints. Results show that Rio de Janeiro and Espírito Santo are the most favorable places. © 2023 IEEE.

关键词： Offshore wind farms

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Interpretable Machine Learning for Multi-Class Crop Yield Prediction 3

Interpretable Machine Learning for Multi-Class Crop Yield Pr...

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3rd International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2023

作者： Nurcahyo, Aldian Heryadi, Yaya Lukas Suparta, Wayan Sonata, Ilvico Bina Nusantara University Compuer Science Binus Graduate Program Jakarta Indonesia Jakarta Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta Indonesia Doctor of Computer Science Bina Nusantara University Binus Graduate Program Compuer Science Departement Jakarta Indonesia

ISBN: (纸本)9798350394559

Crop Yield Analysis and Prediction is a fast-expanding discipline that is critical for optimizing agricultural methods. A lack of trustworthy data is one of the challenges in estimating crop yields. We develop predictive models for 22 different fruits and vegetables data. The goals of this study are to create accurate and interpretable crop recommendation models. We used multiple machine learning (ML) models for multi-class crop production prediction to fulfill our research goal. We thoroughly examined the influence of climate and nutrient factors on crop yield, considering their complex interactions. To improve the dataset, augmented data techniques were applied. Configuring the parameters and fine-tuning the hyperparameters is our technique to increase the model performance. Furthermore, we employ explainable artificial intelligence (XAI) techniques and interpretability tools like Shapley Additive exPlanations (SHAP) to improve the interpretability of our prediction model. Our findings reveal that the XGBoost model has the best performance model with 99.86% accuracy, followed by SVM Poly Kernel with 99.32% and Random Forest with 98.82%. Feature selection and analysis are emphasized, particularly in regional agricultural contexts. This study contributes to the creation of accurate and interpretable crop recommendation models while also addressing the issue of untrustworthy data, providing useful insights for optimizing agricultural practices. © 2023 IEEE.

关键词： Forecasting

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