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Communications and Information Technologies (GCCIT), Global Conference on

作者： V. Saravanan G. Sasikala P. Gomathi d. Kirubakaran A. rajalingam Jubert r. Pagunuran Department of Nano Electronics Materials and Sensors Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamilnadu India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Department of ECE V.S.B. Engineering College Department of Computer Science and Engineering R.M.K Engineering College Engineering Department College of Engineering and Technology University of Technology and Applied Sciences Shinas Sultanate of Oman

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

Portable electronic gadgets and high-performance computing systems have increased demand for low-power, high-performance integrated circuits (ICs). VLSI technology, which creates integrated circuits with dozens to millions of transistors on a chip, is leading these efforts. This research investigates low-power, high-performance VLSI circuit construction methods. We start with VLSI design fundamentals and power management and performance optimization concerns. The constraints of traditional VLSI design methods in satisfying current electronics' strict requirements are examined. VLSI design methodology development and evaluation are the focus of this research. Advanced power optimization methods include MTCMOS, adaptive body biasing, and power gating. We also study clock tree improvement, signal integrity enhancement, and new materials and device topologies for high performance. In addition, we study how machine learning techniques automate and optimize circuit placement, routing, and timing in VLSI design. AI handles the complexity of current VLSI designs and finds optimal design parameters for minimal power and high performance. Scaling VLSI circuits to newer technology nodes raises process variance, leakage current, and thermal management difficulties, which the research tackles. These issues can be overcome with new ways to keep VLSI circuits scaling while preserving performance and power efficiency. Finally, case studies and experimental findings show that the offered methods work in real-world applications. These findings demonstrate significant power usage and performance benefits over typical VLSI design. In conclusion, our research advances VLSI technology by developing low-power, high-performance integrated circuits. The proposed VLSI design methods and solutions could lead to more efficient and powerful electronic systems.

关键词： Performance evaluation design methodology Machine learning Very large scale integration Thermal management routing Topology Timing Leakage currents Signal integrity

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A study on porosity investigation of compacted bentonite in various densities by using micro-computed tomography images analysis

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Kerntechnik 2024年第3期89卷 327-339页

作者： Yang, Wudi Chen, Jui-Chi Li, Jing-Xing Yang, Song Shi, Yunfeng Chen, Chien-Jung Lu, Hui-Min Lu, Chien-Ping Tsai, Fang-Chang Lee, Chuan-Pin 12466 Xiamen University Xiamen361005 China Radioactive Waste Disposal Technology R&D Center 34881 National Tsing Hua Universi Hsinchu City Taiwan Department of Applied Chemistry National Chi Nan University Nantuo Taiwan School of Nuclear Sciences and Engineering 12394 East China University of Technology Nanchang330013 China Taiyuan030006 China Fundamental Science on Radioactive Geology and Technology Exploration Laboratory 12394 East China University of Technology Nanchang330013 China Department of Nuclear Medicine National Taiwan University Hospital College of Medicine National Taiwan University Taipei Taiwan Hubei Key Laboratory of Polymer Materials Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials School of Materials Science and Engineering 12563 Hubei University Wuhan430062 China

Compacting a material means applying pressure so that the material itself loses its internal pores. It improves the homogeneity of the material itself and increases its density. The pore structure of compacted clay is also an important factor that affects its mechanical properties, permeability and water absorption. In this study, MX-80 bentonite clay was first compacted into round cakes of different densities and then subjected to tomography image analysis technique using micro-computed tomography (micro-CT) at millimeter scale of accuracy for 1.0-2.0g/cm3 compacted clay (thickness of 0.3cm bentonite compacted clay). In this paper, we use the latest commercial specifically for scientific visualization, materials science, non-destructive testing, numerical simulation of chromatographic imaging and other functions of a powerful visualization of the image analyzing method. © 2024 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Bentonite

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deposition processing and surface metrology of MoNx thin films by design of experiment and single variable (nitrogen flow rate) methods

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Surface Topography: Metrology and Properties 2023年第1期11卷 014011-014011页

作者： Chen, Fong-Zhi Ting, I-Sheng Kang, Wei-Zen Lin, Yu-Wei Huang, Jia-Hong Taiwan Instrument Research Institute National Applied Research Laboratories Hsinchu Science-Based Industrial Park 20 R&D Road VI Hsinchu300 Taiwan Department of Engineering and System Science National Tsing Hua University 101 Kuang Fu Rd. section 2 Hsinchu300 Taiwan

In this study, the Taguchi design of experiment (dOE) was performed to optimize the deposition process of MoNx thin films using unbalanced magnetron sputtering (UBMS). Further single-variable experiments based on the sensitive parameter derived from the Taguchi experiments were conducted to investigate the effect of the parameter on the phase evolution, structure, and properties of the MoNx thin films. The MoNx thin films were deposited using dC-UBMS. Four controlling factors: N2 flow rate, substrate bias voltage, substrate temperature, and substrate rotational speed were selected in the Taguchi L9 matrix experiment. Electrical resistivity and hardness were chosen as the quality characteristics for the optimization. Analysis of variance (ANOVA) and analysis of mean (ANOM) were performed to identify the sensitive parameters and the optimum conditions. The confirmation test results for the optimizations of hardness (SH) and electrical resistivity (Sr) were within the predicted ranges, and therefore the feasibility and reliability of the Taguchi optimization were verified. The results of ANOVA showed that nitrogen flow rate was the most sensitive factor. The optimum condition for the electrical resistivity was chosen to be the reference for the single-variable experiments, and nitrogen flow rate was selected as the controlling variable. The MoNx specimens in the single-variable experiment showed prevailing (200) texture that could be attributed to the lowest surface energy associated with (200) plane and the base metal steering effect by Mo (110). The results of single-variable experiments indicated that the retained Mo metal phase played an important role in hardness, electrical resistivity, and residual stress. © 2023 The Author(s). Published by IOP Publishing Ltd.

关键词： Hardness

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FraMark: A Blockchain Marketplace for a 5G Network Management using Fractional NFTs

FraMark: A Blockchain Marketplace for a 5G Network Managemen...

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IEEE World Symposium on Communication Engineering (WSCE)

作者： George Michoulis Kyros Tsourdinis George Niotis Konstantinos Kyranou Eleutherios Fountoukidis Thomas Lagkas Vasileios Argyriou Panagiotis Sarigiannidis Konstantinos E. Psannis Sotirios K. Goudos R&D Dpt. Sidroco Holdings Ltd Thessaloniki Greece R&D Dpt. Sidroco Holdings Ltd Nicosia Cyprus Dpt. of Computer Science Democritus University of Thrace Kavala Greece Dpt. of Electrical & Computer Engineering University of Western Macedonia Kozani Greece Dpt. of Networks and Digital Media Kingston University London Kingston Upon Thames Surrey UK Department of Applied Informatics University of Macedonia Thessaloniki Greece ELEDIA@AUTH School of Physics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (数字)9798331542825

ISBN: (纸本)9798331542832

This paper presents FraMark, a blockchain-based framework for 5G network management that utilizes Hyperledger Fabric and fractional Non-Fungible Tokens (NFTs) to optimize resource allocation. We introduce a comprehensive system that fractionalizes digital assets to represent 5G network resources, enhancing efficiency and allocation flexibility. Our framework addresses the challenges of 5G network management by ensuring low latency, high transaction throughput, and secure resource trading. We conduct experiments to evaluate the performance of our approach, including CPU and memory utilization, latency analysis, and block size assessment. The results demonstrate the effectiveness of FraMark in improving network resource utilization and transaction efficiency, validating our framework’s claims. By leveraging blockchain technology and innovative resource slicing techniques, FraMark paves the way for dynamic and efficient 5G network management.

关键词： 5G mobile communication distributed ledger Throughput dynamic scheduling Fabrics resource management Nonfungible tokens Low latency communication

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Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study

arXiv

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arXiv 2024年

作者： Siniosoglou, Ilias Asimopoulos, dimitris Argyriou, Vasileios Goudos, Sotirios K. Psannis, Konstantinos E. Karditsioti, Nikoleta Saoulidis, Theocharis Sarigiannidis, Panagiotis Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece R&D Department MetaMind Innovations P.C. Kozani Greece Department of Networks and Digital Media Kingston University Kingston upon Thames United Kingdom Physics Department Aristotle University of Thessaloniki Thessaloniki Greece Department of Applied Informatics School of Information Sciences University of Macedonia Thessaloniki Greece Sidroco Holdings Ltd. Nicosia Cyprus

In the digital era, with escalating privacy concerns, it's imperative to devise robust strategies that protect private data while maintaining the intrinsic value of textual information. This research embarks on a comprehensive examination of text anonymisation methods, focusing on Conditional random Fields (CrF), Long Short-Term Memory (LSTM), Embeddings from Language Models (ELMo), and the transformative capabilities of the Transformers architecture. Each model presents unique strengths since LSTM is modeling long-term dependencies, CrF captures dependencies among word sequences, ELMo delivers contextual word representations using deep bidirectional language models and Transformers introduce self-attention mechanisms that provide enhanced scalability. Our study is positioned as a comparative analysis of these models, emphasising their synergistic potential in addressing text anonymisation challenges. Preliminary results indicate that CrF, LSTM, and ELMo individually outperform traditional methods. The inclusion of Transformers, when compared alongside with the other models, offers a broader perspective on achieving optimal text anonymisation in contemporary settings. Copyright © 2024, The Authors. All rights reserved.

关键词： Long short-term memory

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Intelligent Solar Energy Harvesting and Management in IoT Nodes Using deep Self-Organizing Maps

Intelligent Solar Energy Harvesting and Management in IoT No...

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Emerging research in Computational Science (ICErCS), International Conference on

作者： Anita rajkumar Shinkar drumil Joshi r V S Praveen Yelisela rajesh Boopalan K dharmendra Singh Department of Computer Engineering Dr. D.Y. Patil College of Engineering Varale Telangana Maharashtra India Monitoring & Diagnostics Department Southern Power Birmingham Alabama Digital Engineering and Assurance Hyderabad Telangana India Department of Computer Science & Engineering KLEF Andhra Pradesh India School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamilnadu India Department of Applied Sciences & Humanities School of Management Sciences Lucknow India

ISBN: (数字)9798331534967

ISBN: (纸本)9798331534974

Smart city energy generation must be efficient and dependable. As a result of studies conducted in this field, reliable control schemes for microgrid management have been developed, which seamlessly integrate with smart building management systems. In order for a building microgrid's solar energy system to recover from problems, this article suggests reliable controllers and the hardware to install them. Training models and Internet of Things (IoT) sensors provide the backbone of this proposed approach. When it comes to organizational and industrial contexts, sensors have evolved significantly with the introduction of the IoT. Pressure, optical, temperature, chemical sensors, and proximity are just a few examples of the many types of data that IoT devices may collect and send through sensor networks, allowing for greater efficiency. The model achieves a 91.37% accuracy rate in solar energy harvesting prediction after being trained using the Extended dSOM.

关键词： Temperature sensors Training Chemical sensors Temperature distribution Solar energy Sensors Internet of Things Optical sensors reliability Intelligent sensors

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Aerosolved: Wall Boundary Conditions for Liquid Multispecies Aerosol deposition at Transient and High-Humidity Flows

SSRN

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SSrN 2024年

作者： Zacchei, Filippo Lucci, Francesco Frederix, Edo Tajfirooz, Sina Kuczaj, Arkadiusz K. PMI R&D Philip Morris Products S.A. Quai Jeanrenaud 5 NeuchâtelCH-2000 Switzerland P.O. Box 25 Petten1755 ZG Netherlands Department of Applied Mathematics Faculty EEMCS University of Twente P.O. Box 217 Enschede7500 AE Netherlands

Conducting computational simulations of multispecies aerosols poses considerable challenges, predominantly due to the intricate confluence of multiphysical properties and diverse scales characteristics to aerosol processes. Arising modeling complexities require the use of various co-existing submodels and substantial computational resources for the resolution of the required scales. AeroSolved was introduced and developed to overcome some of these constraints, facilitating simulations of multispecies evolving aerosols in the drift-flux mixture model formulation with large particle number densities by taking advantage of the Eulerian framework. Here, we analyze and assess the underlying models by applying appropriate boundary conditions for accurate predictions of aerosol deposition, including gas phase absorption. Particular attention is given to the modeling of inhalation flows in which the gas-liquid mass transfer between the phases is taken into account, together with increased water condensation due to high humidity conditions present in the airways. The condensation or evaporation of gas species at the wall is represented via the application of raoult’s law, including activity coefficients corrections for non-ideal mixture behavior. A set of boundary conditions with increasing levels of complexity are presented, starting from the deposition of non-evolving dry particles to liquid multispecies particles in the presence of water-saturated wet walls. drift-flux model formulation requires particular attention to the common use of no-slip boundary conditions for aerosol particles. The verification cases delineate boundary conditions and deliver benchmark data for further validation despite the limited availability of existing experimental data for such aerosol flow conditions. Finally, the developed boundary conditions are applied to a transient aerosol inhalation flow scenario in the geometry of a bent pipe with wet walls, mimicking a simplified upper respiratory t

关键词： Mesh generation

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Eco-Friendly Lamellar Structured Graphene Oxide-Lysine Nanocomposite Membranes with Varying d-Spacing for Enhanced Pervaporation desalination

SSRN

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SSrN 2024年

作者： Abebe, Shalligito Habetamu Subrahmanya, T.M. Carballo, Gabriel V. Huang, Tsung-Han Austria, Hannah Faye M. Chang, Huai-Che Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Wei-Song, Hung Advanced membrane materials research center Graduate Institute of Applied science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Millions face water scarcity, making affordable desalination essential. Membranes, in particular pervaporation desalination membranes, especially GO-based membranes, are promising owing to their high salt rejection. However, issues like high tendency to swelling and selectivity-permeability trade-offs limited their commercial use. To address this challenge, lysine-intercalated GO nanocomposite membranes were developed for improving pervaporation desalination performance and stability of the GO membrane. These nanocomposite membranes were coated onto a nylon 66 substrate (pore size= 0.22 µm). Key nanocomposite membrane physicochemical characteristics such as interlayer spacing (d-spacing), thickness of the membranes, hydrophilicity, and stability were found to significantly impact pervaporation desalination performance. Experimental findings indicate that lysine intercalation into GO increases both the interlayer spacing and the stability of the nanocomposite membrane. Moreover, lysine enhances the hydrophilicity of the nanocomposite membranes. Optimal performance for pervaporation desalination using GO-Lysine nanocomposite membranes was achieved at 30 °C and 60 minutes. The optimum GO-L0.1 nanocomposite membrane demonstrated superior performance with a NaCl rejection rate of over 99.99% and a water flux of 66.27 ± 0.86 kg m⁻² h⁻¹ when tested using a 3.5% NaCl solution at 70 °C. Additionally, the optimum GO-L0.1 nanocomposite membrane maintained consistent NaCl rejection and water flux over extended use. Consequently, GO-Lysine nanocomposite membranes show great potential compared to reported GO-Based membranes for pervaporation desalination applications. © 2024, The Authors. All rights reserved.

关键词： desalination

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High Performance Lamellar Structured Graphene Oxide Nanocomposite Membranes Via Fe3o4-Coordinated Phytic Acid Control of Interlayer Spacing for Organic Solvent Nanofiltration (Osn)

SSRN

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SSrN 2024年

作者： Hung, Wei-Song Abebe, Shalligito Habetamu Subrahmanya, T.M. Austria, Hannah Faye M. Nayak, Smrutiranjan Huang, Tsung-Han Setiawan, Owen Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Advanced Membrane Materials Research Center Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Graphene oxide (GO), a 2d nanomaterial known for its precise molecular sieving, holds potential for wastewater treatment and Organic Solvent Nanofiltration (OSN). However, challenges such as thin interlayer spacing, extended diffusion pathways, and susceptibility to dehydration and negative charge-induced swelling limit its separation performance. To overcome these limitations, Herein, we have fabricated novel Fe3O4 coordinated PhA intercalated GO nanocomposite membranes. Impressively, these nanocomposite membranes exhibited remarkable separation efficiency for dyes, pesticides, and pharmaceutical ingredients, addressing the drawbacks associated with pristine GO membranes and enhancing their overall performance. The optimum G10(1)/P1.5-F100µL nanocomposite membrane displayed impressive solvent permeance of 40.43, 33.45, 20.70, 16.24, and 5.6 L/m² h bar for acetone, methanol, water, ethanol, and IPA, respectively, while maintaining a rejection rate of ≥98.97% for the MO dye (MW=327.33 g/mol). Furthermore, the membrane exhibited outstanding efficiency in separating tetracycline (TC) in ethanol (≥97.97%) and Pendimethalin (PM) in water (≥99.88%). Additionally, it demonstrated high rejection capabilities for MB (≥97%) and Cr (≥98.78%) in harsh dMF solvent. Importantly, the nanocomposite membrane displayed outstanding durability throughout continuous separation of Pendimethalin (PM) in a water solution over a period of 72 hours. The PM separation remained nearly unchanged for the entire 72-hour duration, demonstrating high mechanical strength and chemical stability. Additionally, the single nanocomposite membrane showcased high efficiency in feed change separation, successfully separating Cr in ethanol and PM in water. These results, compared to the other GO-based nanocomposite membranes, demonstrate the exceptional stability and immense potential for real OSN applications. © 2024, The Authors. All rights reserved.

关键词： Magnetite

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Spontaneous Formation and Oxidation of Metal-Phenolic Networks by Zinc Oxide: Expanding Photoprotection and Suppressing Photoreactivity

SSRN

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SSrN 2025年

作者： Choi, Saehan rahman, rafia Tasnim Kim, Jeonga Kang, Juyeon Shin, Kyounghee Kim, Jin Woong Shim, Jongwon Nam, Yoonsung Daejeon34141 Korea Republic of Department of Applied Chemistry Dongduk Women’s University Seoul02748 Korea Republic of R&D Center Sunjin Beauty Science Co. Ltd. Seoul08588 Korea Republic of School of Chemical Engineering Sungkyunkwan University Suwon16419 Korea Republic of Department of Biological Sciences Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

Wide-bandgap metal-oxide nanoparticles are promising candidates for broad-spectrum sunscreens, yet their application is limited by photocatalytic activity and insufficient high-energy visible (HEV) light absorption. Here, we report a simple, scalable one-pot strategy for the spontaneous formation of a metal-phenolic network (MPN) on zinc oxide (ZnO) nanoparticles (ZnO/MPN NPs), utilizing intrinsic Zn2+ ion release from ZnO to initiate tannic acid (TA) complexation and in situ oxidation. This process forms a nanoscale MPN layer on the ZnO surface, while ZnO-mediated TA oxidation and dimerization (inspired by natural fruit browning) enhance electron delocalization, extending light absorption to the HEV region. The resulting browned MPN-coated ZnO nanoparticles (ZnO/MPN-B NPs) exhibit a ~ 3-fold increase in sun protection factor (SPF) and UVA protection factor (UVAPF) compared to uncoated ZnO and unbrowned ZnO/MPN NPs. Additionally, the MPN layer effectively suppresses over 99% of photogenerated reactive oxygen species (rOS) through its intrinsic rOS scavenging properties, significantly improving photostability. Cell viability assays further demonstrate that the MPN layer mitigates photoinduced cytotoxicity, supporting the safety and biocompatibility of these hybrids. This study suggests ZnO/MPN-B NPs as eco-friendly, high-performance candidates for next-generation sunscreen formulations, offering a scalable, efficient route to address the dual challenges of photoprotection and safety in inorganic sunscreen agents. © 2025, The Authors. All rights reserved.

关键词： Light absorption

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