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arXiv 2023年

作者： Haddadin, Zaid Khan, Shahrose Poulikakos, Lisa V. Department of Electrical & Computer Engineering UC San Diego United States Department of Mechanical & Aerospace Engineering UC San Diego United States Materials Science & Engineering Program UC San Diego United States

Mie resonators as lattice resonant metasurfaces have the capability to produce structural colour. However, design criteria for these metasurfaces are still being investigated. In this work, we numerically examine how the two-dimensional nanostructure shape in a lattice array affects the colorimetric response of the metasurface under linearly polarised light excitation. First, the transformation from a square-shaped to rectangle-shaped nanostructure array resulted in polarisation-sensitive metasurfaces with colorimetric outputs bound along a line on the CIE 1931 2-degree Standard Observer colour space. The bounds of the colorimetry line were tuneable to any desired chromatic range. Second, the removal of the corners in square- or rectangle-shaped nanostructures to create t-shaped nanostructure arrays displayed a dampening effect on the high-order resonance. Finally, we analytically determined that the colour saturation could increase when moving from rectangle-shaped to t-shaped nanostructure arrays. From these results, we present two design guidelines for lattice resonant metasurfaces: (1) Constructing the nanostructure to support fundamental resonances at different wavelengths enables two-colour-bound movement when excited by successive angles of linearly polarised light;(2) Removing portions of the nanostructure that only support high-order resonances dampens these modes while maintaining support for fundamental resonances. These results present first-principles guidelines for engineering nanoparticles in lattice resonant metasurfaces, offering a new toolbox for polarised-light sensing and colorimetric applications. Copyright © 2023, The Authors. All rights reserved.

关键词： Nanostructures

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Correlating the Ambient Conditions and Performance Indicators of the LoRaWAN via Surrogate Gaussian Process-Based Bidirectional LSTM Stacked Autoencoder

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IEEE Transactions on Network and Service Management 2023年第3期20卷 3413-3427页

作者： Bhat, Showkat Ahmad Huang, Nen-Fu Hussain, Imtiyaz Sajjad, Uzair National Tsing Hua University College of Electrical and Computer Science Hsinchu1300044 Taiwan National Tsing Hua University Department of Computer Science Hsinchu1300044 Taiwan National Taipei University of Technology Graduate Program in Energy and Opto-Electronic Materials Taipei10608 Taiwan National Taipei University of Technology Department of Energy and Refrigerating Airconditioning Engineering Taipei10608 Taiwan

LoRa's biggest advantage is its flexibility, which is the ability to increase or decrease data rate and range while decreasing or increasing sensitivity. Whenever propagation conditions change frequently, this function allows the spreading factor to be modified accordingly. Despite their efficiency and scalability, adaptive data rate algorithms ignore and fail to factor in the complex correlation between ambient weather parameters influencing the communication channel design. In this research, a Bayesian surrogate Gaussian process-based bidirectional LSTM stacked autoencoder model (BSGP-BLSTM-SAE) is proposed to estimate the channel performance indicators such as received signal strength indicator (RSSI) and signal-to-noise ratio (SNR) and to determine the correlation between the ambient weather conditions and performance indicators for the LoRaWAN network. Bayesian optimization algorithm has been used to optimize the hyper-parameters of the developed model. A LoRaWAN experimental multivariate time series dataset has been used for the evaluation of the developed model, which upon testing and validation produces high accuracy in predicting the channel performance indicators and ambient conditions of the experimental LoRaWAN network. The mean absolute error of the developed model was around 0.45. Thus, the proposed model can predict the link performance indicators and thereby assist in real-time optimization of the transmission parameters to enhance the network performance in LoRaWAN-based systems at different ambient conditions. © 2004-2012 IEEE.

关键词： Internet of things

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The Effect of Vehicles Speed on the Performance of VANET Protocol

The Effect of Vehicles Speed on the Performance of VANET Pro...

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Advanced engineering and Technologies (ICONNIC), International Conference on

作者： Osama A. Qasim Dania Mohammed Mahdi Mohammed S. Noori Rabei Raad Ali Christy Atika Sari Eko Hari Rachmawanto Department of Computer Engineering Technology Northern Technical University Mosul Iraq Department of Electrical and Electronics Engineering Uniersiti Tenaga Nasional Selangor Malaysaia Study Program in Informatics Engineering University of Dian Nuswantoro Semarang Indonesia

At present, ad hoc networks are getting a lot of attention, because they have many features that differ from the rest of the networks and because they are technically advanced. In routing protocols, the Vehicular Ad-hoc network (VANET) differ in performance because each protocol has different variables, such as variable density, speed, and traffic scenarios. In this work, we proposed topology-based routing namely Ad hoc On Demand Distance Vector (AODV) protocol. The AODV protocol has been simulated in case of the movement of vehicles at a fixed velocity at 60km/h, and in case of randomly changing the vehicle's locations in the network. There are three parameters used to investigate the performance of the proposed AODV protocol which are packet delivery ratio, and overheads. The Simulation results show a significant decrease from 0.55 to 0.82 in the packet delivery ratio. On the other hand, the performance of the AODV protocol demonstrates effective communication for the VANETs.

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Quantification of Litter in Cities Using a Smartphone Application and Citizen Science in Conjunction with Deep Learning-Based Image Processing

SSRN

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SSRN 2023年

作者： Kako, Shin’ichiro Muroya, Ryunosuke Matsuoka, Daisuke Isobe, Atsuhiko Graduate School of Science and Engineering Department of Engineering Ocean Civil Engineering Program Kagoshima University Japan Japan Agency for Marine-Earth Science and Technology Japan Research Institute for Applied Mechanics Kyushu University Japan

We aimed to classify and quantify the abundance of litter in cities, which is a major source of marine plastic pollution, using citizen science combined with deep learning-based image processing. The project to collect image data including street litter through the smartphone application Pirika was launched in May 2018 and is ongoing and the total number of submitted images has reached one million. Of these, it was visually confirmed that images with clearly distinguished street litter accounted for approximately 30% of all images. Visual classification revealed that the most common types of litter were cans, followed by plastic bags, plastic bottles, cigarette butts, cigarette boxes, and masks. The top six categories account for approximately 80% of the total and the top three categories account for more than 60% of the total imaged litter. Based on these results, a classifier capable of classifying and quantifying these six litter types was constructed using image processing based on deep learning trained using the submitted images. This model was validated using images unused for training. The results revealed that both precision and recall derived from our model were higher than 75%. The quantity of litter derived from automated image processing was also plotted on a map using location data acquired concurrently with the images by the smartphone application. Therefore, we demonstrated that citizen science supported by smartphone applications and deep learning-based image processing is capable of visualizing/quantifying street litter in cities. © 2023, The Authors. All rights reserved.

关键词： Object detection

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Intrusion Detection and Prevention Systems for Wireless IoT Networks: Machine Learning Approaches 7

Intrusion Detection and Prevention Systems for Wireless IoT ...

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7th International Conference on Contemporary Computing and Informatics, IC3I 2024

作者： Arabelli, Rajeshwarrao Boddepalli, Eswararao Yadav, Roobal Kanwer, Budesh Wicaksono, Yudi Krisno Dhanraj, Joshuva Arockia Sr University School of Engineering Telanagana Warangal India Virginia Tech Bradely Department of Ece Blacksburg United States G.L. Bajaj Institute Of Technology And Management Greater Noida India Poornima Institute of Engineering and Technology India Uin Sayyid Ali Rahmatullah Social Science Education Program Tulungagung Indonesia Lovely Professional University Research and Development Cell Jalandhar-Delhi Grand Trunk Road Punjab Phagwara144411 India

ISBN: (纸本)9798350350067

The Internet of Things (IoT) has altered many fields because it combines so entirety. But likely that these instruments are so smooth to hack, it has still created plenty safety worries. To hold Wi-Fi IoT networks cautious, Intrusion Detection and Prevention Systems (IDPS) are very main. They look for and fix safety dents. This research focuses on Machine Learning (ML) systems and looks at the various types of IDPS for Wi-Fi IoT networks. There is plenty research on intrusion detection systems (IDS) over the internet of things (IoT) that is look at in this place study. It displays by virtue of what well differing algorithms, containing neural networks, decision trees, random forests, and Support Vector Machines (SVM), act. It further checks machine learning-based IoT safety models, like Support Vector Clustering (SVC) in addition to convolutional neural networks (CNNs), in consideration of label and stop hacking risks in IoT backgrounds. Reviewing secondary evidence and secondary data is part of the study process. These are used to find the basic IDPS for Wireless IoT Networks styles and questions. This research explains that intrusion detection systems (IDS) are essential for consistency the Internet of Things cautious, what plans established machine learning can help find and stop threats more effectively. This study has plenty useful information for scientists and experts that can help them devise better IDPS remedies for Wireless IoT Networks. © 2024 IEEE.

关键词： Network intrusion

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Low-dose intrapulmonary drug delivery device for studies on next-generation therapeutics in mice

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Journal of Controlled Release 2023年第1期359卷 287-301页

作者： Gracioso Martins, Ana Maria Snider, Douglas B. Popowski, Kristen D. Schuchard, Karl G. Tenorio, Matias Akunuri, Sandip Wee, Junghyun Peters, Kara J. Jansson, Anton Shirwaiker, Rohan Cheng, Ke Freytes, Donald O. Cruse, Glenn P. Department of Molecular Biomedical Sciences College of Veterinary Medicine North Carolina State University RaleighNC United States Comparative Medicine and Translational Research Training Program North Carolina State University RaleighNC United States Comparative Medicine Institute North Carolina State University RaleighNC United States Joint Department of Biomedical Engineering College of Engineering North Carolina State University & University of North Carolina-Chapel Hill NC United States Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University RaleighNC United States Department of Mechanical and Aerospace Engineering North Carolina State University RaleighNC United States Analytical Instrumentation Facility Monteith Research Center North Carolina State University RaleighNC United States

Although nebulizers have been developed for delivery of small molecules in human patients, no tunable device has been purpose-built for targeted delivery of modern large molecule and temperature-sensitive therapeutics to mice. Mice are used most of all species in biomedical research and have the highest number of induced models for human-relevant diseases and transgene models. Regulatory approval of large molecule therapeutics, including antibody therapies and modified RNA highlight the need for quantifiable dose delivery in mice to model human delivery, proof-of-concept studies, efficacy, and dose-response. To this end, we developed and characterized a tunable nebulization system composed of an ultrasonic transducer equipped with a mesh nebulizer fitted with a silicone restrictor plate modification to control the nebulization rate. We have identified the elements of design that influence the most critical factors to targeted delivery to the deep lungs of BALB/c mice. By comparing an in silico model of the mouse lung with experimental data, we were able to optimize and confirm the targeted delivery of over 99% of the initial volume to the deep portions of the mouse lung. The resulting nebulizer system provides targeted lung delivery efficiency far exceeding conventional nebulizers preventing waste of expensive biologics and large molecules during proof-of-concept and pre-clinical experiments involving mice. (Word Count =207). © 2023 Elsevier B.V.

关键词： Molecules

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CsPbBr3nanocrystals plasmonic distributed Bragg reflector waveguide laser

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Applied Physics Letters 2023年第7期122卷 1-6页

作者： Ahmad Kamal, Ahmad Syazwan Lin, Cheng-Chieh Wang, Zhiyu Xing, Di Lee, Yang-Chun Chen, Mu-Hsin Ho, Ya-Lun Chen, Chun-Wei Delaunay, Jean-Jacques School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan School of Mechanical Engineering Engineering Campus Universiti Sains Malaysia Pulau Pinang14300 Malaysia Universiti Sains Malaysia Pulau Pinang11900 Malaysia Taiwan International Graduate Program National Taiwan University and Academia Sinica No. 1 Sec. 4 Roosevelt Rd Taipei10617 Taiwan Department of Materials Science and Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan Academia Sinica No. 128 Sec. 2 Academia Rd. Taipei11529 Taiwan National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan

The recent development of perovskite-based lasers showcased the outstanding optical properties of the material such as high absorption coefficient and high quantum yield. The lasers were demonstrated in the form of nanowires and nanoplates, which are difficult to be integrated on a chip in the form of high-density arrays due to the difficulties in positioning them on the chip. The solution to this problem should be to use the well-known lithography process in the fabrication process of the lasers. In this work, we demonstrate several perovskite-based plasmonic lasers that were fabricated by using the lithographic in-mold patterning method that relies on the electron beam lithography process. The lasers utilized CsPbBr3 perovskite nanocrystals as the gain material and plasmonic distributed Bragg reflector grating structure as the optical feedback provider to achieve a low lasing threshold of 42.5 μJ/cm2 with a linewidth of 0.6 nm (FWHM) at room temperature. The use of the lithographic process in the fabrication of the lasers makes it possible to fabricate and integrate them on a chip in a relatively high-density manner, so that they can be used extensively in quantum optics and on-chip integrated photonics applications. © 2023 Author(s).

关键词： Perovskite

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Novel photocatalytic coating for corrosion mitigation in 304LSS of dry storage canisters

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Frontiers in Materials 2023年 10卷

作者： Sathasivam, Kamalasekaran Wang, Mei-Ya Anbalagan, Aswin kumar Lee, Chih-Hao Yeh, Tsung-Kuang Nanoscience and Technology Program Taiwan International Graduate Program Academia Sinica Taipei Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu Taiwan Nuclear Science and Technology Development Center National Tsing Hua University Hsinchu Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu Taiwan

Type 304L stainless steel (304LSS) is one of the candidate canister materials for storing radioactive spent fuels, usually near seashore environments along with nuclear power plants. During the prolonged exposure of dry storage canisters to saline environments, they are highly susceptible to chloride induced stress corrosion cracking. Failure of a dry storage canister not only would release radioactive isotopes into the environment, but would also lead to a costly replacement of the cracked canister. The objective of this study is to develop a multilayered titanium dioxide (TiO2) composite coating on a 304LSS substrate. With ultraviolet (UV) illumination, this coating would act as a barrier and simultaneously offer cathodic protection against corrosion in the substrate alloy. The composite coating consists of a plain amorphous TiO2 coating over another cerium-doped (Ce-doped) TiO2 coating. Electronic currents generated by photo-catalytic reaction of the amorphous TiO2 coating under UV illumination were measured. Photo-electrochemical analyses and surface morphology observations were conducted to evaluate the performance of the Ce-doped coatings on corrosion mitigation. Optimal amounts of cerium doping that offered better photo-cathodic protection were also explored. Results indicated that the Ce-doped TiO2 coating exhibited a better performance on photo-cathodic protection for 304L stainless steel in aerated 3.5% NaCl solutions than the one without cerium doping. The underlying Ce-doped TiO2 coating was effectively charged during UV illumination, and it was able to continuously release electrons even after the UV was switched off, thus providing uninterrupted photo-cathodic protection for the coated 304L stainless steel substrate. Copyright © 2023 Sathasivam, Wang, Anbalagan, Lee and Yeh.

关键词： Titanium dioxide

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Applying a saving algorithm for vehicle routing problems to optimize the maintenance route of the transmission station

Applying a saving algorithm for vehicle routing problems to ...

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International ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications engineering (ECTI-NCON)

作者： Duangjai Jitkongchuen Pimploy Pawapootanont Panita Thusaranon Big Data Engineering Program College of Innovative Technology and Engineering Dhurakij Pundit University Bangkok Thailand College of Innovative Business and Accountancy Dhurakij Pundit University Bangkok Thailand

This paper suggests using the saving algorithm for vehicle routing problems to optimize the maintenance route of the transmission station, which has classified transmission station types into 4 types and taken into account the conditions of time spent on equipment maintenance within the station to get the route with the lowest overall cost, is suggested in this paper as a way to optimize the maintenance route of the transmission station. The experiment results show that the suggested path can lower costs by up to 82% and reduce the time from 112 to 53 days.

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The Effect of Photovoltaic Plant Integration on Power Flow Based on The Newton Raphson Method on The Krueng Raya Feeder

The Effect of Photovoltaic Plant Integration on Power Flow B...

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Computer System, Information Technology, and Electrical engineering (COSITE), International Conference on

作者： Anggy Prayoga Ira Devi Sara Melinda Melinda Graduate Program of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Indonesia dept. of Electrical Engineering and Computer Universitas Syiah Kuala Banda Aceh Indonesia

Due to the intermittent characteristics of solar radiation, the integration of large-scale photovoltaic (PV) systems into the power grid raises many power quality problems such as voltage drop, unstable grid frequency, and harmonics. Despite these drawbacks, the integration of large-scale PV systems into the grid definitely has several advantages. This paper investigates the positive impact of integrating large-scale PV systems into the electric power grid. In this study, the PV system contributes 10%-20% of the power to the grid. Load flow analysis based on the Newton Raphson model is used to calculate grid losses when the PV system is connected at different positions along the feeder line. The results showed that there was a decrease in power losses that occurred in the network from 29.4 kW to 29.2 kW when the PV system was injected into the network at the start of the power line. Then losses can be reduced from 29.4 kW to 29.1 kW when the PV system is integrated in the midfield. The reduction in power losses becomes more significant when the PV system is injected at the end of the line from 29.4 to 28.6 kW. In conclusion, integration of the PV system into the power grid can improve the power loss and voltage profile.

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