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Conference on Lasers and Electro-Optics (CLEO)

作者： Senyue Hao Aaron J Adkins Yitian Zhang Chao Zhou Department of Electrical & Systems Engineering Washington University in Saint Louis USA Imaging Science PhD Program Washington University in Saint Louis USA Department of Biomedical Engineering Washington University in Saint Louis USA

To implement optical coherence tomography on photonic chips, we developed optimized and experimentally validated silicon nitride-based components for photonic integrated circuits in order to achieve high sensitivity a... 详细信息

ISBN: (纸本)9798350369311

关键词： Sensitivity Optical coherence tomography Photonic integrated circuits Silicon Electro-optical waveguides Photonics

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Evolutionary based Optimization Techniques for Compensating Disturbances in R/W Head Positioning System of Hard Disk Drives

Evolutionary based Optimization Techniques for Compensating ...

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International Conference on Control, Automation and Diagnosis (ICCAD)

作者： Khaled Redhwan Surur Muhammad Majid Gulzar Department of Control & Instrumentation Engineering Interdisciplinary Research Center for Sustainability Energy Systems (IRC-SES) King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

ISBN: (数字)9798350361025

ISBN: (纸本)9798350361032

Nowadays, a huge amount of digital data is being exchanged through many network channels. As a result, there is an imminent demand to increase the storage size of data servers used in industrial and technological applications. Hard Disk Drives (HDDs) are the main recording devices used in internet and communication applications, and they are deployed in large quantities in data centers to accommodate large-scale digital data. As the storage size of HDDs becomes larger and denser, the need to further improve the head positioning control system in HDDs is required. As such, the precise accuracy of tracking systems in modern HDDs is met with challenges that have to be tackled. This paper proposes an evolutionary-based optimization technique to tune the PID controller of the magnetic head positioning control system in modern HDDs while minimizing the position error signal. Simulation results show the effectiveness of the optimally tuned PID compared to conventional techniques.

关键词： Performance evaluation Simulation Optimal control Hard disks Magnetic heads Recording Performance analysis

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An ultraefficient surface functionalized Ti3C2Tx MXene piezocatalyst: synchronous hydrogen evolution and wastewater treatment

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Journal of Materials Chemistry A 2023年第6期12卷 3340-3351页

作者： Lai, Sz-Nian Chen, Winston Yenyu Yen, Chao-Chun Liao, Yin-Song Chen, Po-Han Stanciu, Lia Wu, Jyh Ming Department of Materials Science and Engineering National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan PhD Program in Prospective Functional Materials Industry National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan High Entropy Materials Center National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan Tsing Hua Interdisciplinary Program National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan School of Materials Engineering Purdue University 610 Purdue Mall West LafayetteIN47907 United States Department of Materials Science and Engineering National Chung Hsing University 145 Xingda Road Taichung402 Taiwan

The Ti3C2Tx surface contains hydroxyl groups that can be modified through self-assembled monolayers by using (3-chloropropyl) trimethoxysilane (CPTMS) and fluoroalkylsilane (FOTS). This study demonstrates that an ultrahigh level of piezoelectricity can be achieved by modifying the Si-O bond of organo-silane headgroups in Ti3C2Tx. The theoretical calculation of surface functionalized Ti3C2Tx-FOTS reveals that its Si-O bond causes localized lattice distortion and enhances the noncentrosymmetric structure on the Ti3C2Tx surface. Ti3C2Tx-FOTS exhibits significantly higher butterfly loops than pristine Ti3C2Tx. The calculated rate constant of Ti3C2Tx-FOTS for dye degradation was 0.9 min−1, 15-fold higher than that of Ti3C2Tx-CPTMS and 111-fold higher than that of pristine Ti3C2Tx. The hydrogen evolution rate of Ti3C2Tx-FOTS is 900.46 μmo1 g−1 h−1, three times higher than that of Ti3C2Tx. The bifunctional surface functionalized Ti3C2Tx-FOTS can simultaneously catalyse the hydrogen evolution reaction (HER) and decomposition of wastewater, demonstrating that Ti3C2Tx-FOTS, obtained through the surface engineering of Ti3C2Tx, is a superior piezocatalyst. © 2024 The Royal Society of Chemistry.

关键词： Rate constants

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Thermal Air Braking

Thermal Air Braking

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Novel Intelligent and Leading Emerging Sciences Conference (NILES)

作者： Mohammad M. Abdel Karim Mohamed M. Abdelrahman Amr Guaily Aerospace Department Faculty of Engineering Cairo University Giza Egypt Mechanical Engineering Program School of Engineering and Applied Sciences Smart Engineering Systems Research Center (SESC) Nile University Giza Egypt

This paper introduces the concept of thermal air braking, which involves heating a portion of the airfoil's upper surface to achieve the braking effect. A 2D Computational Fluid Dynamics (CFD) analysis is conducted using ANSYS Fluent software to study the impact of heating the upper back portion of the top surface of an airfoil. The study compares the results of the heated and non-heated cases for NACA 4415. Different aerodynamic efficiencies are investigated, such as lift coefficient (C L ), drag coefficient (C D ), lift-to-drag coefficient (C L /C D ), and pressure coefficient (C P ). The results are promising since there is an increase in the drag coefficient by 70% and a decrease in the lift coefficient by 5%, achieved by heating the last portion of the airfoil.

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Exergetic, Sustainability and Exergoeconomic Analyses of a Fully Photovoltaic-Powered Heat Pump Tumble Dryer

SSRN

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SSRN 2024年

作者： Atalay, Halil Tunçkal, Cüneyt Türkdoğan, Sunay Direk, Mehmet Department of Mechanical Engineering Faculty of Engineering Yalova University Yalova77200 Turkey Department of Electric and Energy Air Conditioning and Refrigeration Technology Program Yalova Community College Yalova University Yalova77100 Turkey Department of Electrical and Electronics Engineering Faculty of Engineering Yalova University Yalova77200 Turkey Department of Energy Systems Engineering Faculty of Engineering Yalova University Yalova77200 Turkey

In this study, the experimental performance of a commercial heat pump tumble dryer (HPTD) system integrated with photovoltaic (PV) was evaluated using energy and exergy analysis. Additionally, a sustainability and exergoeconomic performance analysis of system components was conducted to identify components in need of improvement. Only 17.6% of the energy generated by the panels was consumed by the HPTD system, with the remaining portion being utilized by other laboratory devices connected to the same grid, contributing to a sustainable future. In addition to meeting the energy demand, the PV system satisfied the entire power requirement of the HPTD system. It was determined that the drying chamber and the compressor together accounted for 74.53% of the total exergy destruction in the system, with this cost being predominantly incurred during the drying process. Moreover, based on the exergy, sustainability, and exergoeconomic analyses conducted, it was concluded that the drying chamber, integrated with the fan unit, exhibited the lowest exergy efficiency (57.04%), the highest waste exergy ratio (0.83) and the lowest exergoeconomic factor value (0.716) among the system components, indicating the need for improvement in the fan-integrated drying chamber. © 2024, The Authors. All rights reserved.

关键词： Exergy

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NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B

NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improv...

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2022 Conference and Labs of the Evaluation Forum, CLEF 2022

作者： Ting, Hao-Hsuan Zhang, Yu Han, Jen-Chieh Tsai, Richard Tzong-Han Interdisciplinary Program of Electrical Engineering and Computer Science National Central University Taiwan Department of Computer Science and Information Engineering National Central University Taiwan IoX Center National Taiwan University Taiwan Research Center for Humanities and Social Sciences Academia Sinica Taiwan

This paper presents our system for the BioASQ10b Phase B task. For ideal answers, we used the fine-tuned BioBERT model on the MNLI dataset to construct sentence embeddings and combined it with BERTScore to select sentences from the provided Snippets as answers. For the exact answers, we also used the BioBERT model and used the snippet scores generated from the ideal answer selection model to predict the exact answers for factoid and list questions. The exact answers of our fifth test batch ranked second place. In addition, the ideal answers we submitted achieved first place in the ROUGE score in all test batches from batch second to fifth. © 2022 Copyright for this paper by its authors.

关键词： Computational linguistics

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An Attack-resilient and Center-free Energy Dispatch Framework for Power Generation Considering Renewable Sources

An Attack-resilient and Center-free Energy Dispatch Framewor...

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Australasian Universities Power engineering Conference, AUPEC

作者： Ijaz Ahmed Abdul Basit Kamran Zeb Muhammad Rehan Muhammad Khalid Interdisciplinary Research Center for Sustainable Energy Systems King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Electrical Engineering Pakistan Institute of Engineering and Applied Sciences Islamabad Pakistan Electrical Engineering Department King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

ISBN: (数字)9798350377941

ISBN: (纸本)9798350377958

With the increasing integration of clean energy sources into existing power networks, it is critical to discover new ways to successfully govern these sources while also incorporating the data center security. Distributed control protocols widely address the energy dispatch of hybrid energy networks (HEN) due to their exceptional adaptability and resilience. However, these algorithms also introduce a danger of cyber-attacks in HENs. To handle this problem, this work presents the consensus-based control protocols for energy dispatch of HENs considering cyber-attacks over a directed graph. The developed method establishes incremental cost consensus across thermal power units under the environment of hybrid attacks and ensures that the data centers achieve optimal power dispatch. Furthermore, we consider the consensus-based distributed protocols in a centerfree manner and offer them as an optimization strategy to address the challenge of minimizing generating costs, while also ensuring resilience against hybrid attacks (like deception and denial-of-service). Finally, the efficacy of the suggested approach is validated by simulation trials.

关键词： Data centers Protocols Costs Stability analysis Hybrid power systems Security Cyberattack Thermal stability Optimization Resilience

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3D-SLAM Implementation on Commercial UAV: Challenges and Future Insights

3D-SLAM Implementation on Commercial UAV: Challenges and Fut...

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International Conference on Developments in esystems engineering (DESE)

作者： Yaman Shullar Uthman Baroudi Computer Engineering Department Interdisciplinary Center for Intelligent Secure Systems King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

In recent years, the field of programming Unmanned Arial Vehicles (UAVs) has gained significant attention from researchers due to their substantial potential in various applications, including surveillance, inspection, and critical situations like examining buildings that are burning or collapsing. For this purpose, drones that have several sensors installed would be of good use in constructing a 3D map and localizing most of the objects within a certain area or room, which is also referred to as Simultaneous Localization and Mapping (SLAM). However, installing these sensors would harden the mission of the drone since it would mean more power consumption, more computations, and less navigation flexibility. For this reason, monocular visual SLAM has become the trend, which refers to using a sole camera to build the map and locate the objects in each scene. This approach introduces new challenges, one of the most crucial challenges is estimating the depth (i.e., distances within an image) of each scene from a 2D image. For this task, Deep Learning (DL) models have been considered as a solution for this problem, and with the continuous development in DL and the computational resources that can carry out the expensive training of DL models, it was shown that a 3D map reconstruction is possible utilizing 2D images. This work investigates the performance of a combination of different SLAM and depth estimation models implemented on a commercial drone. The main goal is to carry out a comparison between different methodologies of depth estimation that support monocular 3D SLAM algorithms.

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The green capacitated lot sizing for industrial symbiosis

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Transportation Research Procedia 2025年 84卷 610-617页

作者： Khalid Saad Albadia Ibrahim Adebola Kazeem Mohammad A.M. Abdel-Aal Industrial & Systems Engineering Department King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center of Smart Mobility & Logistics King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia

Given the detrimental effects that climate change is having on the ecosystems and general health of our world, we must all work to mitigate or prevent it. Cutting back on carbon emissions is one method we can use to mitigate the effects of climate change. At levels that nature is unable to balance on its own, manufacturing has been a major contributor to the dramatic rise in carbon emissions. In this context, a green capacitated lot-sizing problem in the structure of an industrial symbiosis (GCLS-IS), where two production units (PU1 and PU2) must plan their production over a planning horizon of T periods was considered. PU1 must limit its emissions to a certain government approved CO2 quota in a production period t to satisfy a deterministic time-dependent demand. In this paper, carbon emission is assumed to be proportional to the number of units produced per period and can be expressed as a unitary environmental impact. Two types of carbon emission constraints were studied: periodic carbon emission constraints and cumulative carbon emission constraints. Valuable insights derived from this analysis are subsequently used to discuss the managerial implications of setting up the considered industrial symbiosis in terms of model complexity. The periodic and cumulative cases are proven to be NP-hard. Three models were developed; (i) without carbon emissions (ii) periodic carbon emissions (iii) cumulative carbon emission. Upon solving the models with pyomo, model 3 was found to be better than model 2 since it had a lower cost, lower inventory, lower disposal quantity, and did not exceed the approved carbon emissions. Additionally, perspectives to extend this work are discussed.

关键词： Green capacitated lot sizing problem Industrial symbiosis Waste management Periodic carbon emissions Cumulative carbon emissions Mixed integer linear programming

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Contact Lens Automatic Optical Inspection Method Based on YOLOv9

Contact Lens Automatic Optical Inspection Method Based on YO...

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International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Tae-yun Kim Bumshik Lee Suk-seung Hwang Institute of AI Convergence Chosun University Gwangju Korea Department of Information and Communications Engineering Chosun University Gwangju Korea Interdisciplinary Program in IT-Bio Convergence System School of Electronic Engineering Chosun University Gwangju Korea

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

Traditional inspection methods for contact lenses primarily involved manual examination, where workers directly assessed the physical properties and manufacturing defects of the lenses. Consequently, the quality determination relied on the workers' judgment, leading to inconsistencies. In order to address this issue, although Automated Optical Inspection (AOI) was introduced, it has limitations in applying to various types of contact lenses. As part of research to utilize deep learning in AOI, this paper introduces a You Only Look Once (YOLO) v9-based contact lens inspection technique that leverages a small dataset of contact lens images. This method involves training YOLO v9 with the limited number of images that include various defects such as bubbles, cracks, and foreign particles, as well as images of defect-free contact lenses.

关键词： YOLO Training Deep learning Manuals Optical imaging Manufacturing Automatic optical inspection Lenses

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