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European Control Conference (ECC)

作者： Arvind Ragghav V Muhammad Zaki Almuzakki Bayu Jayawardhana Arun D. Mahindrakar Department of Electrical Engineering IC&SR IIT Madras Indian Institute of Technology Madras Chennai India Department of Computer Science Faculty of Science and Computer Universitas Pertamina Indonesia Faculty of Science and Engineering Engineering and Technology Institute Groningen University of Groningen Netherlands

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper studies the global asymptotic stabilization of passive nonlinear systems with finite, countable control actions. We show that for nonlinear passive systems that are large-time norm observable and admit a finite control input set whose convex hull contains the origin, the origin can be globally asymptotically stabilized and locally exponentially stabilized by means of relaxed control and nearest-action control approaches. In particular, we improve on a recent result of practical stabilization via nearest-action control by utilizing switching controllers that can synthesize extra control actions from an existing control input set. Three switching methodologies are proposed to enlarge the control set and enable global asymptotic and local exponential stabilization. These three methodologies vary in the cardinality of the expanded control set. These methods are validated in numerical simulations where a comparison of the convergence rate is provided.

关键词： Europe Switches Control systems Numerical simulation Nonlinear systems Convergence

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A New Classification Method for Drone-Based Crops in Smart Farming

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第9期16卷 164-174页

作者： Al-Rami, Bandar Alheeti, Khattab M. Ali Aldosari, Waleed M. Alshahrani, Saeed Matar Al-Abrez, Shahad Mahdi Dean of Faculty of Computer Studies Arab open University Riyadh Saudi Arabia College of Computer Sciences and Information Technology Computer Networking Systems Department University of Anbar Ramadi Iraq Department of Computer Engineering Prince Sattam Bin Abdulaziz University Al Kharj Saudi Arabia Faculty of Computer Science and Information Technology Saudi Electronic University Riyadh Saudi Arabia

During the past decades, smart farming became one of the most important revolutions in the agriculture industry. Smart farming makes use of different communication technologies and modern information sciences for in-creasing the quality and quantity of the product. On the other hand, drones showed a major potential for enhancing imagery systems and re-mote sensing usage for many different applications such as crop classification, crop health monitoring and weed management. In this paper, an intelligent method for classifying crops is proposed to use a transfer learning approach based on a number of drone images. Moreover, the Convolution-al Neural Network (CNN) method is used as a classifier to improve efficiency for obtaining more accurate results in the training and testing phases. Various metrics are measured to evaluate the efficiency of the proposed model such as accuracy rate of detection, error rate and confusing matrix. It is found to be proven from the experimental results that the proposed method presents more efficient results with an accuracy detection rate of 92.93% © 2022. International Journal of Interactive Mobile *** Rights Reserved.

关键词： Drones

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Improving the learning performance by exploiting multimedia in eXtreme apprenticeship

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Multimedia Tools and Applications 2024年 1-25页

作者： Persia, Fabio D’Auria, Daniela Ge, Mouzhi Pilato, Giovanni Department of Information Engineering Computer Science and Mathematics University of L’Aquila Via Vetoio L’Aquila67100 Italy Faculty of Computer Science Free University of Bozen-Bolzano Piazza Domenicani 3 Bozen-Bolzano39100 Italy Faculty of European Campus Rottal-Inn Deggendorf Institute of Technology Dieter-Görlitz-Platz 1 Deggendorf94469 Germany Institute for High Performance Computing and Networking National Research Council of Italy Via Ugo La Malfa 153 Palermo90146 Italy

From prior studies on eXtreme Apprenticeship (XA), it can be seen that XA has emerged as an innovative and effective educational approach. The technology in computer science evolves rapidly and XA tackles the gap between University education and industry development. Additionally, distance learning by multimedia is more and more important, sometimes even becoming necessary. As a result, this paper intends to study how to integrate XA and multimedia to improve the learning performance in computer science, with particular reference to the programming courses. Since computer science is mostly driven by the new applications, XA and multimedia are considered to be effective and efficient to reduce the cognitive efforts by practical demonstration. The experimental results, based on the case study of the operating systems course at the Bachelor’s level, show that exploiting multimedia in XA can significantly improve the learning performance in terms of grade distributions, reliability, knowledge transfer and student satisfaction with respect to more traditional approaches based on frontal lectures. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Distance education

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Determining Network Performance Through Bandwidth Optimization in Underwater Fiber Optic Communication 3

Determining Network Performance Through Bandwidth Optimizati...

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

作者： Diwakar, Mandar P. Beemkumar, N. Yadav, Dhananjay Mishra, Varun Khandari, Harsimrat Divya, K. Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Department of Mechanical Engineering Faculty of Engineering and Technology 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 Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India

ISBN: (纸本)9798350319125

Information the overall performance of underwater fiber optic (UWFO) communique networks is vital for a hit deployment of this technology in an expansion of applications. That allows you to achieve most efficient community overall performance, bandwidth optimization must be hired. This paper examines distinctive bandwidth optimization techniques and how they're used to improve conversation among UWFO elements. The proposed approach utilizes adaptive modulation and coding techniques, as well as advanced error correction coding schemes, to efficiently utilize the available bandwidth and minimize signal degradation. Through extensive simulations and experiments, we demonstrate the effectiveness of our approach in improving network performance, including increased data transfer rates and reduced error rates, compared to traditional methods. Our findings have significant implications for the design and operation of underwater fiber optic communication systems, potentially enhancing their potential for a wide range of applications in marine environments. In the end, several destiny studies guidelines are diagnosed to in addition enhance the overall performance and reliability of UWFO conversation networks. © 2023 IEEE.

关键词： Communiqué Conversation Investigates Networks Optimization

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Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

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IET COMMUNICATIONS 2022年第5期16卷 400-420页

作者： Elfatih, Nada M. Hasan, Mohammad Kamrul Kamal, Zeinab Gupta, Deepa Saeed, Rashid A. Ali, Elmustafa Sayed Hosain, Md. Sarwar Department of Electrical and Electronics Engineering Red Sea University Port Sudan Sudan Faculty of Information Science and Technology The National University of Malaysia (UKM) Bangi Selangor Malaysia Amity Institute of Information Technology Amity University Uttar Pradesh Delhi NCR India Department of computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif 21944 Saudi Arabia Department of Electronics Engineering Sudan University of Science and Technology Khartoum Sudan Department of Information and Communication Engineering Pabna University of Science and Technology Pabna 6600 Bangladesh

The Internet of Vehicles (IoV) and Vehicle-to-Everything (V2X) concept have emerged from IoT technology, which refers to connecting many vehicles with various applications to the internet. The 5G new radio is based on a cloud-radio access network (CRAN), considered as the communication infrastructure for IoV. However, due to the significant challenges and issues, researchers have been working on IoV and V2X. One of the main challenges for V2X is resource allocation and management for a high-speed vehicular environment. This paper discusses and provides complete detail for resource allocation and management for IoV over 5G RAN networks focusing on artificial intelligence techniques. The paper also presented reviews on integrating the multi-layers of vehicular network architecture with AI strategy to identify advancement and future directions for resource allocation and management issues.

关键词： Internet of Things Vehicle to Everything artificial intelligence techniques resource allocation IoT technology IoV radio access networks vehicle resource management V2X 5G mobile communication Internet of Vehicles communication infrastructure artificial intelligence vehicular ad hoc networks 5G RAN networks 5G new radio high-speed vehicular environment 5G networks resource management telecommunication computing

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K-means Clustering Powered Context Aware Food Recommender system

K-means Clustering Powered Context Aware Food Recommender Sy...

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2023 International Conference on Integrated Intelligence and Communication systems, ICIICS 2023

作者： Panwar, Minakshi Sharma, Ashish Mahela, Om Prakash Khan, Baseem Maulana Azad University Jodhpur Department of Computer Science Rajasthan India Rajasthan Rajya Vidyut Prasaran Nigam Ltd Power System Planning Division Jaipur India Hawassa University Department of Electrical Engineering Ethiopia

ISBN: (纸本)9798350315455

This paper designed a K-means clustering powered context aware food recommender system (CAFRS). The CAFRS is based on dividing the food data sets into clusters to minimize the error between the user input and available data by computing the distance between the cluster centroid and available food data in the data set of CAFRS. Recommended food has the minimum distance from the K-means clustering (KMC) centroid. Root mean square error (RMSE) and mean absolute error (MAE) are computed to evaluate requirement of the repeat orders to meet energy demand of the user. Proposed CAFRS is effective to recommend a suitable recipe for the user and RMSE and MAE are effective to estimate the requirement of repeat order. Performance of the proposed CAFRS is superior compared to a rule based food recommender system (RBFRS). This study is performed in MATLAB environment. © 2023 IEEE.

关键词： Context aware food recommender system Food preference K-means clustering Mean absolute error Root mean square error

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Crystallographic Insights into the Formation of Shear Bands in Technically Pure Titanium Deformed at High Strain Rate

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Metallurgical and Materials Transactions A: Physical Metallurgy and Materials science 2025年 1-24页

作者： Puchlerska, S. Paul, H. Fatemi, S.M. Madej, Ł. Chulist, R. Prażmowski, M. Petrzak, P. Faculty of Non-Ferrous Metals AGH University of Krakow al. Mickiewicza 30 Krakow 30-059 Poland Institute of Metallurgy and Materials Science Polish Academy of Sciences 25 Reymonta St Krakow 30-059 Poland Department of Materials Science and Engineering Universitat Politècnica de Catalunya-BarcelonaTech Campus Diagonal Besòs-EEBE Barcelona 08019 Spain Faculty of Metals Engineering and Industrial Computer Science AGH University of Krakow al. Mickiewicza 30 Krakow 30-059 Poland Faculty of Mechanical Engineering Opole University of Technology 5 St. Mikolajczyka St Opole 45-271 Poland

This experimental study thoroughly investigated the residual grain morphology and crystallographic orientation within the zone of the localized deformation of technically pure α-titanium after dynamic loading at room temperature. The initial material was an extruded bar with a well-defined basal texture. The specimens were deformed at a strain rate of 5000 s⁻¹ with the use of a drop hammer and then characterized using scanning electron microscopy (SEM) equipped with an orientation imaging system. To quantify the plastic anisotropy, hat-shaped specimens were cut from the extruded bar at 0, 45 and 90 deg relative to the extrusion direction. A shear band initially formed under severe shear localization near the specimen corners, where the crystal lattice was found to rotate because of the activation of slip systems on the basal and prismatic planes. This rotation formed specific texture components in the sheared region, which were different from those observed in the less-deformed matrix. Regardless of the initial crystallographic texture of the specimen, the normals of the {0001} planes in the dominant fraction of grains of the sheared region tended to align parallel to the shear plane and perpendicular to the loading direction. Simultaneously, the normal to one of the {1−100} planes was positioned perpendicular to the shear plane, and one of the 〈11−20〉 directions, common to both planes, was consistently aligned with the shear direction. Finally, this study proposes a crystallographic approach to explain of nucleation and growth of shear bands in technically pure α-titanium subjected to dynamic loading, offering new insights into the mechanical behavior of metals under dynamic conditions. © The Author(s) 2025.

关键词： Shear bands

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A Novel Approach for Specification and Verification of Symmetric Distributed Algorithms Using SPIN

A Novel Approach for Specification and Verification of Symme...

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Distributed Computing and High Performance Computing (DCHPC), International Conference on

作者： Leila NamvariTazehkand Ali Ebnenasir Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz East Azerbaijan Iran Department of Computer Science Michigan Technological University Houghton MI USA

This paper focuses on the challenges of modeling and verifying symmetric distributed algorithms with point-to-point and bidirectional communications using the SPIN model checker. In this paper, we first state the problems of implementing the model of such algorithms in the Promela language. Then, we present a solution for each of these problems, where these solutions present a hybrid data structure that facilitates the definition of any set of variables or channels as a matrix. Also, we model and verify one of the valuable and practical algorithms called the causal broadcast (CB) algorithm as a case study using the proposed method. In addition, we specify the main properties of the CB algorithm, namely validity, integrity, causal delivery, and termination, in Linear Temporal Logic (LTL) and then verify them using the SPIN model checker.

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Acoustic cavitation bubble under influence of frequency ultrasound: Numerical analysis 3

Acoustic cavitation bubble under influence of frequency ultr...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： Abu-Nab, A.K. Abu-Bakr, A.F. Abushaeer, Zain Menoufia University Faculty of Science Department of Mathematics and Computer Science Shebin El-Koom32511 Egypt Moscow Institute of Physics and Technology Phystech School of Applied Mathematics and Informatics Moscow141700 Russia Menoufia University Faculty of Science Department of Mathematics and Computer Science Shebin El-Koom32511 Egypt Higher Institute of Engineering and Technology Department of Basic Science Kafrelsheikh33511 Egypt

ISBN: (纸本)9798350323511

This work presents a numerical investigation of acoustic cavitation in Newtonian fluid based on frequency ultrasound. The model of ultrasonic cavitation dynamics is formulated by a modified Rayleigh-Plesset equation and an acoustic pressure equation. The exponential B-Spline collection method was employed to obtain the numerical solutions of the given cavitation bubble model, considering the effect of acoustic pressure. The behaviour of the cavitation microbubbles' radius and the internal pressure of acoustic cavitation were examined at different values of frequencies. The obtained results reveal the importance of frequencies in ultrasound, which play a vital role in changing the behaviour of cavitation bubbles. © 2023 IEEE.

关键词： Numerical methods

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Optimal Deep Hybrid Boltzmann Machine Based Arabic Corpus Classification Model

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computer systems science & engineering 2023年第9期46卷 2755-2772页

作者： Mesfer Al Duhayyim Badriyya B.Al-onazi Mohamed K.Nour Ayman Yafoz Amal S.Mehanna Ishfaq Yaseen Amgad Atta Abdelmageed Gouse Pasha Mohammed Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkah 24211Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Natural Language Processing(NLP)for the Arabic language has gained much significance in recent *** most commonly-utilized NLP task is the‘Text Classification’*** main intention is to apply the Machine Learning(ML)approaches for automatically classifying the textual files into one or more pre-defined *** ML approaches,the first and foremost crucial step is identifying an appropriate large dataset to test and train the *** of the trending ML techniques,i.e.,Deep Learning(DL)technique needs huge volumes of different types of datasets for training to yield the best *** current study designs a new Dice Optimization with a Deep Hybrid Boltzmann Machinebased Arabic Corpus Classification(DODHBM-ACC)model in this *** presented DODHBM-ACC model primarily relies upon different stages of pre-processing and the word2vec word embedding *** Arabic text classification,the DHBM technique is *** technique is a hybrid version of the Deep Boltzmann Machine(DBM)and Deep Belief Network(DBN).It has the advantage of learning the decisive intention of the classification *** adjust the hyperparameters of the DHBM technique,the Dice Optimization Algorithm(DOA)is exploited in this *** experimental analysis was conducted to establish the superior performance of the proposed DODHBM-ACC *** outcomes inferred the better performance of the proposed DODHBM-ACC model over other recent approaches.

关键词： Arabic corpus text classification machine learning deep learning dice optimization

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