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2nd IEEE International Conference on Networks, Multimedia and Information Technology, NMITCON 2024

作者： Nath, Basudev Sahoo, Deepak Biswal, Bhramara Bar Patra, Sudhansu Shekhar Ray, Rakesh Kumar Sri Sri University Faculty of Emerging Technologies Cuttack India Giet University Dept. of Computer Science & Engineering Gunpur India Kiit Deemed to be University School of Computer Applications Bhubaneswar India Centurian University of Technology and Management Mca Department Khordha India

ISBN: (纸本)9798350372892

Social media has grown to be an essential and significant aspect of our lives in the modern day. Due to the widespread usage of laptops, mobile phones, and other devices, individuals find it simpler to communicate with one another and to post their opinions, concerns, and other information on social media sites like Facebook, Instagram, and tweeter. Several government and commercial organizations use these social media platforms to gather text and assess people's sentiments during times of crisis. Tracking the tweets relating to the accident is too tough for them to do. To categories tweets as 'disaster' or 'non-disaster,' the paper implemented three models, the Naïve-Bayes, KNN and support vector machine classification models. The Naïve-Bayes algorithm shows the highest accuracy of 86.591. © 2024 IEEE.

关键词： Tweets

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5G Wireless Communication and IoT: Vision, Applications, and Challenges

5G Wireless Communication and IoT: Vision, Applications, and...

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Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), DMIHER International Conference on

作者： Anushka Bhivgade Chetan Puri Department of Computer Science and Engineering Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research Wardha Maharashtra India

ISBN: (数字)9798331528713

ISBN: (纸本)9798331528720

This article looks at the opportunities, application and challenges of 5G Wireless Communication Technologies and Internet of Things (IoT). A brief history from 1G to 5G is presented and the limitations of 4G and the introduction of 5G as a solution for problems with latency and speed. The paper also describes the 5G IoT concept, the architecture and advanced technologies with focus on different IoT applications such as smart agriculture and smart city. When speaking of aspects such as energy consumption, privacy and security concerns, as well as trade-offs strategies, it underlines how important collaboration is to achieve the benefits that the 5G IoT will bring. The paper itself provides a roadmap for next studies with a purpose of advancing development of the integrated, safe, and efficient wireless. As 5G Wireless Communication and IoT progresses the expectation is that it will enhance and revolutionalize several domains that will offer a scalable connectivity that is faster and more reliable. This join venture is believed to open new value adding opportunities for application in smart city, automobile, medical, industrial, robotic and so on several other fields. The term 5G IoT has also been used with the intention of establishing connections of several devices, very low latency and high degree of data rate for real time analysis and decision making.

关键词： Wireless communication Smart agriculture Privacy 5G mobile communication Smart cities Medical services Internet of Things Communication system security Security Low latency communication

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Synergy of machine learning and Mie-tronics: tailoring resonant response of meta-atom on demand 28

Synergy of machine learning and Mie-tronics: tailoring reson...

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Integrated Optics: Devices, Materials, and Technologies XXVIII 2024

作者： George, Renee C. Sedeh, Hooman Barati Lai, Fangxing Li, Hao Li, Wenhao Gao, Jiannan Sun, Jingbo Xiao, Shumin Kuznetsov, Arseniy Litchinitser, Natalia M. Department of Electrical and Computer Engineering Duke University DurhamNC United States Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen Shenzhen518055 China School of Materials Science and Engineering Tsinghua University Beijing100084 China A*STAR Institute Singapore Singapore

ISBN: (纸本)9781510670389

Optical metasurfaces are engineered 2D electromagnetic structures enabling flat optical elements with properties not readily found in nature. Their unit cells, meta-atoms, usually are represented by a set of electric and magnetic multipoles. All-dielectric-based metasurfaces have recently attracted significant attention owing to their virtually lossless transmission properties at optical frequencies. A majority of reported dielectric metamaterials are composed of relatively simple meta-atoms such as spheres, cubes, and cylinders, whose electromagnetic response is dominated by the electric dipole. However, magnetic dipoles and higher-order multipoles may enable new optical properties and functionalities, including directional scattering, beam steering, and new frequency generation. Despite impressive progress in the field of optical metamaterials and nanofabrication technologies, engineering meta-atoms that support such higher-order resonances is still challenging. Here, we demonstrate that designed titanium dioxide meta-atoms can enable dominant magnetic dipole response. We apply a machine-learning model to predict a meta-atom shape with a strong magnetic dipole resonant mode at the operating wavelength of 750 nm. Using finite-element-based numerical simulations implemented in COMSOL Multiphysics, we found that the optimized meta-atom is robust against experimental variations and conditions such as a non-perfectly collimated incident beam, nanofabrication inaccuracies, and an added substrate. The meta-atoms have been fabricated using two approaches, focused ion beam lithography and an electron beam lithography followed by reactive ion etching, and characterized using white light spectroscopy. To the best of our knowledge, this is the first experimental realization of a machine-learning-based optimization of a magnetic dipole mode at optical frequencies. © 2024 SPIE.

关键词： Atoms

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Direct Search Algorithm for Load Frequency Control of a Time-Delayed Electric Vehicle Aggregator

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IEEE Transactions on Industry Applications 2022年第2期59卷 1-11页

作者： Abolpour R. Torabi K. Dehghani M. Vafamand N. Javadi M.S. Wang F. Catalao J.P.S. School of Electrical and Computer Engineering Shiraz University Shiraz Iran Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Electrical Engineering North China Electric Power University (NCEPU) Baoding China Faculty of Engineering University of Porto (FEUP) and INESC TEC Porto Portugal

This paper addresses the topic of frequency regulation of a single-area power system connected to an electric vehicle (EV) aggregator over a non-ideal communication network. It is considered that the command control action is received by the EV aggregator with constant delay and the power system includes uncertain parameters. Due to the presence of uncertainties and the delay term, the frequency regulation problem is non-convex and hard to solve. The present approaches in the literature convert the non-convex control design problem into a convex problem with a set of Linear Matrix Inequalities (LMIs), which is conservative and in many cases results infeasibility. In this paper, an innovative iterative algorithm, called direct search, is employed for the time-delayed system to design the unknown parameters of a pre-assumed controller. The controller choice is not limited and various controllers' structures can be assumed. Without loss of generality, a proportional-integral (PI) controller is designed. The novel direct search algorithm can determine a feasible solution whenever at least one solution lays in the design space. Hence, by selecting a wide design space, we can anticipate that the PI controller guarantees closed-loop stability. Numerical simulations are carried out to demonstrate the performance of the developed controller compared to the state-of-the-art approach. IEEE

关键词： Asymptotic stability Delay effects Delays direct search algorithm electric vehicle aggregator Frequency control Load frequency control Lyapunov Krasovskii Functional (LKF) Power system stability Renewable energy sources robust control Stability criteria time delay

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Exploring the Benefits of DNS-Based Authentication for Wireless Network Security 3

Exploring the Benefits of DNS-Based Authentication for Wirel...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Swarup, Lakshya Jayadurga, R. Borade, Monali R. Ramachandran, T. Singh, Akhilendra Pratap Prabha, Savita Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Master of Business Administration Chennai127 India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka Bangalore India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Computer Science & Engineering Jaipur India

ISBN: (纸本)9798350319125

Wi-wireless networks are becoming more pervasive and are frequently the primary goal of malicious attackers. Therefore, it is miles crucial that wireless networks are nicely secured to defend their users from malicious moves. DNS-based total authentication is a promising answer for attaining ease of authentication of wi-wireless customers in an open Wi-Fi community. This paper surveys numerous current works that discover the wi-fits wireless of DNS-based total authentication for Wi-Fi wireless community safety. especially this paper opinions three one-of-a-kindwireless strategies of using DNS for authentication purposes: making use of DNS's cache for identifying windows-primarily based Wi-Fi wireless clients;Open Mobile Alliance (OMA)'s tool control (DM) projects to relaxed get right of entry to;and a modern scheme for protecting the use of the DNS-based techniques. Wi-finally, this paper discusses a few safety-demanding situations and future studies directions. © 2023 IEEE.

关键词： authentication initiatives management protecting secured

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Explaining Binary Obfuscation

Explaining Binary Obfuscation

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Cyber Security and Resilience (CSR), IEEE International Conference on

作者： Claudia Greco Michele Ianni Antonella Guzzo Giancarlo Fortino Department of Computer Science Modeling Electronics and System Engineering (DIMES) University of Calabria Italy

Binary obfuscation is a very broad set of techniques widely employed in the context of code protection from piracy. However, it is also used for malicious goals, e.g. virus writers often employ obfuscation in order to evade signature-based antivirus detection. Thus, the ability to detect if an executable has been obfuscated is of paramount importance, as it allows to thwart the execution of potentially malicious code. The task of detection, however, is not easy, since many different obfuscating transformations exist and the alteration of an original code is not always easily detectable. In this paper, we want to shed light on the blurry task of obfuscation detection. We will look at this task through the brand new lenses of explainable artificial intelligence (XAI), in order to finally sharpen the obscure landscape of obfuscated software. Thanks to XAI we will be able to identify the relevant features altered by the transformating obfuscation as well as the invariant ones, that can be used for obfuscation-resistant malware signatures. We show our findings thanks to an evaluation with a dataset of obfuscated and non-obfuscated binaries, explaining the important features that lead to the detection of obfuscating transformations.

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Breast Cancer Detection in Mammogram Images using Machine Learning Methods and CLAHE Algorithm 5

Breast Cancer Detection in Mammogram Images using Machine Le...

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5th International Conference on Contemporary Computing and Informatics, IC3I 2022

作者： Srivastav, Gaurav Rashid, Mamoon Singh, Richa Gehlot, Anita Sharma, Neha Computer Science & Engineering Datta Meghe Institute of Higher Education & Research Maharastra India Vishwakarma University Faculty of Science & Technology Department of Computer Engineering Pune India Computer Science & Engineering Krishna Institute of Engineering & Technology Gaziabad India Uttaranchal University Uttaranchal Institute of Technology Uttrakhand Dehradun India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India

ISBN: (纸本)9798350398267

Breast cancer is one of the most common cancer types. This is the second-leading cause of cancer-related death in women. It ranked 2nd according to available data lung cancers is the only one causing more causalities. It's critical to receive a breast cancer diagnosis quickly. The MIAS data set is used in this study to examine machine learning-based categorization approaches used to study breast cancer. Important image data is fetched from mammograms. We choose eight distinct classifiers and assess each one's precision, recall, accuracy, and F-score. The analysis's findings were higher than 69.88%. © 2022 IEEE.

关键词： Machine learning

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Analytic approximate solutions of diffusion equations arising in oil pollution

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Journal of Ocean engineering and science 2021年第1期6卷 62-69页

作者： Hijaz Ahmad Tufail A.Khan Hülya Durur G.M.Ismail Asıf Yokus Department of Basic Sciences University of Engineering and TechnologyPeshawar25000Pakistan Department of Computer Engineering Faculty of EngineeringArdahan UniversityArdahan75000Turkey Department of Mathematics Faculty of ScienceSohag UniversitySohag82524Egypt Department of Actuary Faculty of ScienceFirat UniversityElazig23200Turkey Department of Mathematics Faculty of ScienceIslamic University of Madinah170MadinahSaudi Arabia

In this article,modified versions of variational iteration algorithms are presented for the numerical simulation of the diffusion of oil *** numerical examples are given to demonstrate the applicability and validity of the proposed *** obtained results are compared with the existing solutions,which reveal that the proposed methods are very effective and can be used for other nonlinear initial value problems arising in science and engineering.

关键词： Modified variational iteration algorithm-II Diffusion equation Allen-Cahn equation Parabolic equation MVIA-I

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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation

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Journal of Bionic engineering 2023年第4期20卷 1766-1790页

作者： Laith Abualigah Mahmoud Habash Essam Said Hanandeh Ahmad MohdAziz Hussein Mohammad Al Shinwan Raed Abu Zitar Heming Jia Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl Al-Bayt UniversityMafraq25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan Faculty of Information Technology Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains Malaysia11800Pulau PinangMalaysia Amman Arab University AmmanJordan Department of Computer Information System Zarqa UniversityP.O.Box 13132ZarqaJordan Deanship of E-Learning and Distance Education Umm Al-Qura UniversityMakkah21955Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Sorbonne Center of Artificial Intelligence Sorbonne University-Abu DhabiAbu DhabiUnited Arab Emirates School of Information Engineering Sanming UniversitySanming365004China

This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding,called *** proposed method introduces a better search space to find the optimal solution at each ***,we proposed RSA-SSA to avoid the searching problem in the same area and determine the optimal multi-level *** obtained solutions by the proposed method are represented using the image *** proposed RSA-SSA employed Otsu’s variance class function to get the best threshold values at each *** performance measure for the proposed method is valid by detecting fitness function,structural similarity index,peak signal-to-noise ratio,and Friedman ranking *** benchmark images of COVID-19 validate the performance of the proposed *** results showed that the proposed RSA-SSA outperformed other metaheuristics optimization algorithms published in the literature.

关键词： Bioinspired Reptile Search Algorithm Salp Swarm Algorithm Multi-level thresholding Image segmentation Meta-heuristic algorithm

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Influence of Gender and Physical Constitution on the ISK-CC-HBC Modulation Scheme

Influence of Gender and Physical Constitution on the ISK-CC-...

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International Conference on Smart systems and Technologies (SST)

作者： Luka Filipović Marijan Herceg Domagoj Bilandžija Jelena Šuljug Department of Communications Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9798350386394

ISBN: (纸本)9798350386400

In this paper, the influence of the human body communication (HBC) channel conditions changes on Inductance Shift Keying (ISK-CC-HBC) is analyzed. In particular in ISK-CC-HBC, information is mapped by impedance change at the transmitter side through switching inductance between signal and ground electrode. To achieve maximum Euclidean distance between the constellation points, and consequently a low bit error rate (BER), correct inductance value is crucial. However, the state of the HBC channel varies depending on the person on which the communication takes place. Therefore, in this paper, the performance of the ISK-CC-HBC system was analyzed to determine the optimal inductance and BER for five persons of different ages and genders.

关键词： Inductance Transmitters Bit error rate Modulation Euclidean distance Switches Smart systems Robustness Permittivity IEEE Constitution

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