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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Sun, Hongyi Lian, Chuanyu Vásquez-Aza, Francis Huang, Yi-Siou Vitale, Steven A. Takeuchi, Ichiro Hu, Juejun Youngblood, Nathan Pavlidis, Georges Ríos Ocampo, Carlos A. Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Mechanical Engineering University of Connecticut StorrsCT06269 United States Advanced Materials and Microsystems Group MIT Lincoln Laboratory LexingtonMA02139 United States Quantum Materials Center Department of Physics University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering MIT CambridgeMA02139 United States Electrical & Computer Engineering Department The University of Pittsburgh PittsburghPA15213 United States

We demonstrate doped-silicon-on-insulator microheaters with triangle-like temperature profiles. Such devices control the hotspot size and temperature and, thus, the area that undergoes amorphization or crystallization in optical phase-change materials, leading to controllable multilevel, nonvolatile response. © Optica Publishing Group 2024

关键词： Amorphization

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Exploring 3D Reconstruction with Drone Images: Advances and Challenges in Urban Environments 50

Exploring 3D Reconstruction with Drone Images: Advances and ...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Miranda Baldivieso, Thiago João da Silva Batista, Taise Grazielle Chagas, Fabio Suim Rodrigues Velho, Luiz Carlos Pacheco Ferreira Rosa, Paulo Fernando Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil State Institute of the Environment Inea RJ Rio de Janeiro Brazil Department of Science and Industry systems University of South-Eastern Norway Kongsberg Norway Department of Computer Graphics Institute for Pure and Applied Mathematics Rio de Janeiro Brazil Electrical Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781665464543

This working-in-progress paper aims to present a three-dimensional reconstruction using aerial images in different environments. The experiments were conducted with aircraft in both external and internal settings, starting with image acquisition, followed by the application of specific photogrammetry software-both commercial and open-source-and concluding with a qualitative evaluation of the results. © 2024 IEEE.

关键词： Aerial photography

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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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Boxcar gating for time-resolved mid-infrared photothermal imaging of axon-bundle water boundaries

Boxcar gating for time-resolved mid-infrared photothermal im...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Samolis, Panagis D. Zhu, Xuedong Sander, Michelle Y. Department of Electrical and Computer Engineering BU Photonics Center Boston University BostonMA02215 United States Department of Biomedical Engineering Boston University BostonMA02215 United States Division of Materials Science and Engineering Boston University BrooklineMA02446 United States

ISBN: (纸本)9781957171258

关键词： Infrared devices

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Green Synthesis of Hydroxyapatite Powder from Eggshell Biowaste for Enhanced Mechanical and Corrosion Properties in AZ91 Alloy Composites: A Powder Metallurgy Investigation

Green Synthesis of Hydroxyapatite Powder from Eggshell Biowa...

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2023 IEEE Conference on engineering Informatics, EI 2023

作者： Mahmudul, Hasan Md Manik, Hossain Md Moniruzzaman, Jamal Niamul, Quader Md Kazi Md, Shorowordi South Dakota School of Mines and Technology Department of Civil and Environmental Engineering Rapid CitySD United States Bangladesh University of Engineering and Technology Department of Materials & Metallurgical Engineering Dhaka Bangladesh South Dakota School of Mines and Technology Department of Electrical Engineering and Computer Science Rapid CitySD United States

ISBN: (纸本)9798350338522

This study presents the development of hydroxyapatite (HAp) powder synthesized from eggshell bio- waste, with a subsequent investigation into its reinforcement in AZ91 alloy using powder metallurgy. Mechanical and corrosion properties of the resulting metal matrix composites (MMCs) were evaluated. The MMCs containing 18% HAp demonstrated twice the hardness of those with 0% HAp. Moreover, the MMCs with 0% HAp displayed four times greater weight gain and three times greater weight loss in simulated marine water compared to the 18% HAp MMCs. In conclusion, HAp-reinforced AZ91 alloy composites exhibit adjustable mechanical and corrosion properties. © 2023 IEEE.

关键词： Corrosion resistance

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3D magnetic field vector measurement by magneto-optical imaging

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Journal of the Magnetics Society of Japan 2022年第2期46卷 37-41页

作者： Sakaguchi, H. Wada, R. Oya. S. Matsumura, T. Saito, H. Ishibashi, T. Department of Materials Science and Technology Nagaoka University of Technology 1603-1 Kamitomioka Niigata Nagaoka940-2188 Japan Department of Mathematical Science and Electrical-Electronic-Computer Engineering Akita University 1-1 Tegata Gakuen-machi Akita010-8502 Japan

Magneto-optical (MO) imaging using MO imaging plates is a magnetic imaging technique that enables real-time measurements and is expected to be used for non-destructive testing and for observing the magnetic domains of magnetic materials. In this study, we propose a quantitative measurement method for three dimensional (3D) magnetic field vector measurements. The x-and y-components of the magnetic fields within the measured plane are calculated from the measured z-component by using a signal transformation method based on magnetic field transfer functions. Furthermore, the magnetic field distributions at different heights are also obtained from a one-shot image. In this paper, 3D magnetic field vector measurements are demonstrated for ferrite magnets and an electrical steel sheet. © 2022, Magnetics Society of Japan. All rights reserved.

关键词： Magnetic fields

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The Effect of a Copolymer Interfacial Layer on the Performance of Organic Thin-Film Transistors 242

The Effect of a Copolymer Interfacial Layer on the Performan...

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242nd ECS Meeting

作者： Tarekegn, Eyob Negussie Seyedi, Mastooreh Luzinov, Igor Harrell, William R. Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Department of Materials Science and Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9781607685395

The effects of adding a copolymer interfacial layer on the performance of Poly (3-hexylthiophene-2, 5-diyl) (P3HT) based organic thin-film transistors (OTFT) were investigated. Poly (oligo (ethylene glycol) methyl ether methacrylate-glycidyl methacrylate-lauryl methacrylate), which is referred to as POGL, was used as an interfacial layer between P3HT and the dielectric. OTFTs with and without a POGL interfacial layer were fabricated. The field-effect mobility and the threshold voltage were extracted for all the devices. The OTFTs with a POGL interfacial layer were observed to have a smaller threshold voltage than the OTFTs without an interfacial layer, which makes the POGL devices attractive for low power applications. The POGL OTFTs were also observed to have much more ideal drain current saturation characteristics with very small I-V curve slope. This is explained by the deep trap states on the POGL surface and the reduction of the contact resistance at the electrode/organic semiconductor interface. However, the POGL OTFTs were observed to have a smaller drain current and a slightly smaller mobility than the non-POGL OTFTs. This is explained by the surface roughness of the POGL, which affects the charge transport in the channel of the device. © 2022 ECS-The Electrochemical Society.

关键词： Threshold voltage

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Characterizing and Mitigating Chemomechanical Degradation in High-Energy Lithium-Ion Battery Cathode materials

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Accounts of materials Research 2022年第5期3卷 511-524页

作者： Norman S.Luu Kyu-Young Park Mark C.Hersam Department of Materials Science and Engineering Northwestern UniversityEvanstonIllinois 60208United States Graduate Institute of Ferrous and Energy Materials Technology Pohang University of Science and TechnologyPohangKyungbuk 37673Republic of Korea Department of Chemistry and Department of Electrical and Computer Engineering Northwestern UniversityEvanstonIllinois 60208United

Lithium-ion batteries(LIBs)are nearly ubiquitous energy storage solutions,powering devices ranging from consumer electronics to electric *** advance these applications,current LIB research efforts are directed toward improving energy and power densities,cyclic lifetimes,charging speeds,and *** parameters are intrinsically tied to properties of the active electrode materials,such as the redox mechanism,chemical composition,and crystal *** particularly challenging issue is that the active electrode materials that possess higher theoretical energy densities are generally more susceptible to degradation during cycling.A notable example is the family of layered multicomponent transition metal oxides,which is the incumbent class of active LIB cathode materials for electric *** increase their theoretical capacities,the transition metal fraction in these materials is trending toward higher Ni ***,Ni-rich chemistries suffer from electrochemical,crystallographic,and mechanical degradation that increase in severity with increasing Ni ***,alternative high-energy cathode materials,including overlithiated layered oxides and disordered rock salt materials,present additional stability challenges that must be overcome before they can be realistically incorporated into LIB *** chemomechanical degradation in high-energy LIB cathode materials occurs at multiple length *** defects,such as antisite defects or vacancies,are commonly generated during electrochemical cycling and can contribute to the loss of cyclable active *** both the primary and secondary particle level,electrochemical cycling also induces significant volumetric changes and state-of-charge heterogeneity,generating regions of high stress and strain that are precursors to mechanical ***,at the electrode level,nonuniform charge transfer reactions throughout the electrode can lead to locally overcharged regions that become

关键词： Battery electrode cycling

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Investigation of the cap layer for improved GeSn multiple quantum well laser performance

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Optics Letters 2023年第7期48卷 1626-1629页

作者： Abernathy, Grey Ojo, Solomon Stanchu, Hryhorii Zhou, Yiyin Olorunsola, Oluwatobi Grant, Joshua Du, Wei Jheng, Yue-Tong Chang, Guo-En Li, Baohua Yu, Shui-Qing Department of Electrical Engineering University of Arkansas FayettevilleAR72701 United States Materials Science & Engineering Program University of Arkansas FayettevilleAR72701 United States Institute for Nanoscience and Engineering University of Arkansas FayettevilleAR72701 United States Department of Mechanical Engineering National Chung Cheng University Chiayi County62102 Taiwan Arktonics LLC 1339 South Pinnacle Drive FayettevilleAR72701 United States

The study of all-group-IV SiGeSn lasers has opened a new avenue to Si-based light sources. SiGeSn heterostructure and quantum well lasers have been successfully demonstrated in the past few years. It has been reported that, for multiple quantum well lasers, the optical confinement factor plays an important role in the net modal gain. In previous studies, adding a cap layer was proposed to increase the optical mode overlap with the active region and thereby improve the optical confinement factor of Fabry–Perot cavity lasers. In this work, SiGeSn/GeSn multiple quantum well (4-well) devices with various cap layer thicknesses, i.e., 0 (no cap), 190, 250, and 290 nm, are grown using a chemical vapor deposition reactor and characterized via optical pumping. While no-cap and thinner-cap devices only show spontaneous emission, the two thicker-cap devices exhibit lasing up to 77 K, with an emission peak at 2440 nm and a threshold of 214 kW/cm2 (250 nm cap device). The clear trend in device performance disclosed in this work provides guidance in device design for electrically injected SiGeSn quantum well lasers. © 2023 Optica Publishing Group.

关键词： Semiconductor quantum wells

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Online Classification of Alarm Floods Using a Word2vec Algorithm 49

Online Classification of Alarm Floods Using a Word2vec Algor...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Tamascelli, Nicola Rao, Harikrishna Rao Mohan Cozzani, Valerio Paltrinieri, Nicola Chen, Tongwen Norwegian University of Science and Technology Department of Mechanical and Industrial Engineering Trondheim Norway University of Bologna Department of Civil Chemical Environmental and Materials Engineering Bologna Italy University of Alberta Department of Electrical & Computer Engineering EdmontonABT6G 1H9 Canada

ISBN: (纸本)9798350331820

Alarm floods are periods of intense alarm activity that may hinder control room operators' ability to diagnose and respond to process abnormalities. In this context, a method to guide and assist operators during alarm floods would provide critical support in preventing abnormalities from escalating into serious accidents. Therefore, this study introduces a novel approach for the online classification of alarm floods based on their fault categories. Historical alarm data are used to train an ensemble of Natural Language Processing models, specifically word2vec, which learn contextual relationships between alarms under different fault conditions. As a new alarm flood appears, the models predict the most probable context alarms by exploiting the knowledge gained during training. Finally, a scoring system is proposed to reward the models that make correct predictions and eventually identify the most probable fault category. The efficacy of the method has been tested on simulated alarm data from the Tennessee Eastman Process benchmark. The results are encouraging, as the models achieved relatively high accuracy in most fault categories. © 2023 IEEE.

关键词： Natural language processing systems

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