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6th International Conference on electrical engineering and Information and Communication Technology, ICEEICT 2024

作者： Samin, Tasfia Mouri, Neshat Anjuman Haque, Farzana Islam, Md. Shariful North South University Department of Electrical & Computer Engineering Dhaka Bangladesh North South University Department of Mathematics & Physics Dhaka Bangladesh

ISBN: (纸本)9798350385779

The modern era has witnessed a heightened level of global news exposure in recent years. We all are updated with any news, be it the economic news of our country, the political news, national or international calamities, disease outbreaks, accidents, or homicides through various means of communication. Despite the advancements in news media, the enduring appeal and sustained demand for newspapers have not waned over time. A notable segment of the population still relies on the regular distribution of newspapers to their homes as a means of staying updated on domestic and global events. The profound influence of print media on the community and its perception of the nation is a matter of great significance. Within the realm of news, it is evident that the presence of positive and negative news yields distinct effects on individuals. This study focuses on conducting sentiment analysis of news articles featured on the front pages of prominent newspapers in Bangladesh. The polarity of news stories from five distinct newspapers was examined individually, as well as the collective polarity of the full dataset. The overall dataset consists of positive, negative, and neutral news, accounting for 54.305%, 42.434%, and 3.259% respectively. The classification has been done on a unique customized dataset containing the news for six consecutive months on the front pages of the leading five newspapers and the analysis was performed using six classification models: Logistic Regression, Multinomial Naive Bayes, Support Vector Machine (SVM), Support Vector Classifier (SVC), Random Forest, and K Nearest Neighbors. Overall, these models achieved accuracies of approximately 85.19%, 77.39%, 83.17%, 84.23%, 80.60%, and 58.78% respectively. © 2024 IEEE.

关键词： Sentiment analysis

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In Search for Model-Driven eXplainable Artificial Intelligence 1

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10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023

作者： Ligęza, Antoni Sepiolo, Dominik Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Applied Computer Science AGH University of Krakow al. Mickiewicza 30 Krakow30-059 Poland

ISBN: (数字)9783031610691

ISBN: (纸本)9783031610684

This paper reports on ongoing and innovative research in the area of eXplainable Artificial Intelligence (XAI). A classical XAI task is considered as finding an explanation of the model generated via Machine Learning by identifying the most influential variables for local decision-making. Such an approach suffers from severe limitations. The proposed approach moves the explanatory process to a new, knowledge-level dimension. It is oriented towards Model Discovery, i.e. the internal structure and functions of the components. The concept of Model-Driven XAI is put forward and explained with examples. An experiment on Function Discovery via Grammatical Evolution is reported in brief. © IFIP International Federation for Information Processing 2024.

关键词： Decision making

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Study of a Modified Design of LVIT as Displacement Transducer with Extension of Linear Zone 4

Study of a Modified Design of LVIT as Displacement Transduce...

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4th International Conference on computer, Communication, Control and Information Technology, C3IT 2024

作者： Mandal, Hiranmoy Saha, Sirshendu Bera, Tushar Kanti Bera, Satish Chandra Academy of Technology Department of Electrical and Electronics Engineering Hooghly712121 India National Institute of Technology Durgapur Department of Electrical Engineering Durgapur713209 India University of Calcutta Instrumentation Engineering Section Department of Applied Physics Kolkata700009 India

ISBN: (纸本)9798350389128

The conventional linear variable inductive transducer (LVIT) is typically used as a displacement transducer within a bridge-type network. However, this approach has several limitations, including a limited linear range, measurement inaccuracy due to stray capacitance effects, susceptibility to interference from electromagnetic fields, and core loss. In this work, a modified inductive design for the LVIT has been proposed to address these issues effectively. The proposed LVIT design comprises of two identical coils wound on a ferromagnetic former, which is coupled to a specifically designed movable core. The difference between the inductances of each coil and the displacement of the core are found to be linearly related. This linear relationship holds over the entire length of the former, regardless of its size, leading to an unlimited range of LVIT as displacement transducer. A modified operational amplifier-based network serves as a displacement transducer, converting the difference in inductances between the coils into an electrical signal. The mathematical analysis of this proposed network is presented in the paper. A prototype unit of the modified LVIT has been designed and put through experimental testing. The study also presents the experimental outcomes. The proposed unit exhibits linear static characteristics over the entire length of the former, confirming its effectiveness and reliability. © 2024 IEEE.

关键词： Operational amplifiers

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Exploring the Usage of Mobile Phones in the Assessment Process: A Case Study 47

Exploring the Usage of Mobile Phones in the Assessment Proce...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Kovačević, Željko Bubnic, Bostjan Kosar, Tomaž Zagreb University Of Applied Sciences Department Of Computer Science And Information Technology Zagreb Croatia University Of Maribor Faculty Of Electrical Engineering And Computer Science Maribor Slovenia

ISBN: (纸本)9798350382495

Technology is changing how students learn in the 21st century significantly. Integrating mobile devices in teaching, learning, and assessment processes has emerged as an important strategy for improving teaching methodologies and students' learning. However, adopting mobile devices presents several challenges, including understanding the students' performance, impact on time, and efficiency in the assessment process. This study explores this area with an empirical study of using mobile devices and compares the results to those using traditional desktop computers. In the educational environment, we investigated students' effective use while interacting with mobile and desktop versions of the Second Introductory programming summative assessment. Multinational/multi-institutional research involved a comparative analysis between two student groups undertaking identical tasks on mobile phones and desktop computers. Our results suggest that the students' results are not affected significantly by using the mobile version of the assessment application. These results highlight the usability of mobile devices as a flexible and effective tool for various educational applications, strengthening their role in the modern learning environment. © 2024 IEEE.

关键词： Object oriented programming

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Enhancing 6G mmWave Beam Prediction in V2I with Class Imbalance Mitigation 35

Enhancing 6G mmWave Beam Prediction in V2I with Class Imbala...

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Makadia, Omikumar B. Patel, Dhaval K. Raval, Mehul S. Zaveri, Mukesh Merchant, S.N. Ahmedabad University School of Engineering and Applied Science India Svnit Department of Computer Science and Engineering Gujarat Surat India Iit Bombay Department of Electrical Engineering Powai Mumbai India

ISBN: (纸本)9798350362244

The increase in the use of autonomous vehicles has motivated a paradigm shift in the transportation domain as it redefines the boundaries of urban mobility by augmenting safety measures. This research paper explores an innovative approach to enhance 6G millimeter-wave (mmWave) beam prediction for vehicle-to-infrastructure (V2I) communications by using generative adversarial networks (GANs). By generating synthetic data samples effectively and balancing the real-world dataset, we improve the accuracy of beam prediction models significantly. Our proposed method of training random forests on synthetic data (RFGAN) to predict beam indices provides the solution for imbalanced class issues and significantly improves the predictive performance of mmWave beam selection, contributing to more reliable and efficient V2I communications. This work also performs comparative analysis with state-of-the-art models in top-K evaluation metrics, average power loss, and overhead savings related to adapting to the new approach. © 2024 IEEE.

关键词： Generative adversarial networks

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Ferroelectric Semimetals with α−Bi/SnSe van der Waals Heterostructures and Their Topological Currents

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Physical Review Letters 2024年第14期133卷 146605页

作者： D. J. P. de Sousa Seungjun Lee Qiangsheng Lu Rob G. Moore Matthew Brahlek J.-P. Wang Guang Bian Tony Low Department of Electrical and Computer Engineering Materials Science and Technology Division Department of Physics Department of Physics and Astronomy

We show that proximity effects can be utilized to engineer van der Waals heterostructures (vdWHs) displaying semimetallic spin-ferroelectricity locking, where ferroelectricity and semimetallic spin states are confined to different layers, but are correlated by means of proximity effects. Our findings are supported by first principles calculations involving α−Bi/SnSe bilayers. We show that such systems support ferroelectrically switchable nonlinear anomalous Hall effect originating from large Berry curvature dipoles as well as direct and inverse spin Hall effects with giant bulk spin-charge interconversion efficiencies. The giant efficiencies are consequences of the proximity-induced semimetallic nature of low energy electron states, which are shown to behave as two-dimensional pseudo-Weyl fermions by means of symmetry analysis and first principles calculations as well as direct angle-resolved photoemission spectroscopy measurements.

关键词： Edge states electrical generation of spin carriers Electronic structure Ferroelectricity First-principles calculations Spin current Spin generation Spin-orbit coupling Topological materials Valley degrees of freedom 2-dimensional systems Weyl semimetal Angle-resolved photoemission spectroscopy

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Millimeter- Wave Vehicle-to-Infrastructure Communications for Autonomous Vehicles: Location-Aided Beam Forecasting in 6G 16

Millimeter- Wave Vehicle-to-Infrastructure Communications fo...

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16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024

作者： Makadia, Omikumar B. Patel, Dhaval K. Shah, Kashish D. Raval, Mehul S. Zaveri, Mukesh Merchant, S.N. School of Engineering and Applied Science Ahmedabad University India Svnit Department of Computer Science and Engineering Gujarat Surat India Iit Bombay Department of Electrical Engineering Mumbai Powai India

ISBN: (纸本)9798350383119

The rise of autonomous vehicles has generated substantial interest due to their potential to transform transportation, enhance safety, and reduce traffic congestion in urban areas. This research investigates strategies to facilitate communication among various elements in driving environments, such as vehicles, pedestrians, and emergency responders, primarily focusing on vehicle-to-infrastructure (V2I) communication. Furthermore, advancements in wireless technology, including 6G and millimetre waves, offer improved connectivity but face challenges in signal propagation. The study emphasizes the importance of beam-forming as a solution, exploring alternative, resource-efficient methods to predict optimal signal directions using user positions. Positive simulation results suggest real-world applicability, and the study addresses critical questions about utilizing future positions and their impact on overhead complexity. This research provides valuable insights into position-based approaches for enhancing wireless communication in autonomous driving scenarios. © 2024 IEEE.

关键词： 6G Autonomous vehicles beam prediction overhead complexity training overhead

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An Economic Performance Overview of Microgrids for Limpopo Province Rural Areas

An Economic Performance Overview of Microgrids for Limpopo P...

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2024 IEEE PES/IAS PowerAfrica, PowerAfrica 2024

作者： Netshilonwe, Pfesesani Nemangwele, Fhulufhelo Ratshitanga, Mukovhe University of Venda Department of Physics Thohoyandou South Africa Electronics and Computer Engineering Cape Peninsula University of Technology Department of Electrical Engineering Bellville South Africa

ISBN: (纸本)9798350389388

A review of the economic viability of microgrids has been of high significance, considering the readiness of the global community to advance alternative energy generation resources from fossil fuels. Rural areas have been a critical point of various renewable energy studies due to electrification challenges in most rural areas worldwide. This review is driven by the fact that limited access to electricity affects rural communities' daily economic activities and social empowerment security. This limited access is due to a lack of electrification and generation capacity shortage as electricity demand increases due to population growth. We are conducting this study to explore new ways to bring affordable and dependable electricity to the rural areas of Limpopo province. This paper presents an economic review of implementing population size-dependent microgrids in the province. Four random rural areas with different population sizes have been selected. These areas have almost the same global solar horizontal irradiance and temperatures. The study areas are Ga-Masekwa, Ka-Dzingidzingi, Duthuni, and Mookgopong NU. The Herman-Beta method for peak load estimations and Homer Pro software have been employed to estimate location load profiles and simulate microgrid configurations. The study analyzed different solar power configurations, including solar PV/grid, solar PV/battery, and solar PV/grid/battery, to determine the best microgrid for each area. The results showed that the solar PV/grid configuration is the most cost-effective, with the least net present cost (NPC), levelized cost of energy (LCOE), and high returns of investments. The NPC of study areas sequentially is 284211, 4M, 7.3M, and 13.2M, respectively, and their levelized cost of energy is 0.124/kWh, 0.068/kWh, 0.065/kWh, and 0.064/kWh, respectively. This study gives scope to the economic standpoints of other locations with the same population characteristics. © 2024 IEEE.

关键词： Electrification

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Deep RL-Based Smart Signaling Using Space-Time Vehicular Features Under C-V2X Scenario 16

Deep RL-Based Smart Signaling Using Space-Time Vehicular Fea...

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16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024

作者： Shah, Kashish D. Patel, Dhaval K. Raval, Mehul S. Zaveri, Mukesh Merchant, S.N. School of Engineering and Applied Science Ahmedabad University India Svnit Department of Computer Science and Engineering Gujarat Surat India LIT Bombay Department of Electrical Engineering Mumbai Powai India

ISBN: (纸本)9798350383119

As of recent, the majority of developing countries have faced traffic congestion issues. As a result, vehicular communication technologies such as DSRC and Cellular-V2X are standardized by the 3GPP to support the transportation community. The C-V2X standard proposed in 3GPP Re114 provides high data transmission facilities for V2V and V2I communication. In this paper, we attempt to solve the traffic congestion problem by considering the V2I communication facility as per the C-V2X standard. We propose an online learning strategy based on Deep Reinforcement Learning for smart signaling to avoid traffic congestion at the intersections. These are the key aspects to address the congestion issue. We conduct extensive near-real-time simulations in PTV VISSIM considering the Swastik Cross Road intersection at Ahmedabad, Gujarat, India, imported via OpenStreetMap. With the proposed smart signaling strategy, we found significant improvement in vehicles' average travel time and average space occupancy compared to existing traffic signaling methods. Uplifting this research and implementing such real-time strategies will significantly impact the current transportation system. © 2024 IEEE.

关键词： Cellular-V2X Deep Reinforcement Learning Intelligent Transportation Systems Smart Signaling Vehicular Communication

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Efficient conversion of acoustic vortex using extremely anisotropic metasurface

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Frontiers of physics 2024年第4期19卷 257-264页

作者： Zhanlei Hao Haojie Chen Yuhang Yin Cheng-Wei Qiu Shan Zhu Huanyang Chen Institute of Electromagnetics and Acoustics and Department of Physics College of Physical Science and TechnologyXiamen UniversityXiamen 361005China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3117583Singapore Department of Mechanical and Electrical Engineering Xiamen UniversityXiamen 361005China Pen-Tung Sah Institute of Micro-Nano Science and Technology Xiamen UniversityXiamen 361005China

Vortex wave and plane wave,as two most fundamental forms of wave propagation,are widely applied in various research ***,there is currently a lack of basic mechanism to enable arbitrary conversion between *** this paper,we propose a new paradigm of extremely anisotropic acoustic metasurface(AM)to achieve the efficient conversion from 2D vortex waves with arbitrary orbital angular momentum(OAM)to plane *** underlying physics of this conversion process is ensured by the symmetry shift of AM medium parameters and the directional compensation of ***,this novel phenomenon is further verified by analytical calculations,numerical demonstrations,and acoustic experiments,and the deflection angle and direction of the converted plane waves are qualitatively and quantitatively confirmed by a simple *** work provides new possibilities for arbitrary manipulation of acoustic vortex,and holds potential applications in acoustic communication and OAM-based devices.

关键词： efficient wave conversion vortex wave plane wave orbital angular momentum acoustic metasurface

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