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International Technical Conference o Circuits/Systems, computers and Communications (ITC-CSCC)

作者： Panithan La-aiddee Paramin Sangwongngam Pornanong Pongpaibool Datchakorn Tancharoen Lunchakorn Wuttisittikulkij Pisit Vanichchanunt Department of Electrical Engineering Wireless Communication Ecosystem Research Unit Faculty of Engineering Chulalongkorn University Bangkok Thailand National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand Faculty of Engineering and Technology Panyapiwat Institute of Management Pakkred Nonthaburi Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

As millimeter-wave (mmWave) signals suffer from high path loss and blocking, passive metasurface reflectors that can be fabricated with conventional PCB manufacturing become a promising cost-effective candidate for enhancing mmWave mobile service coverage. In this work, we show how PCB fabrication geometrical precision affects the performance of passive reflectors that are used in 5G and beyond mmWave networks. With the broad beamwidth of PCB-based metasurfaces, the dimension tolerance of PCB manufacturing can be traded off between cost benefits and key communications performance. From our numerical results based on full-wave simulations, the received power at the design anomalous angle is not significantly affected by the geometrical precision while high errors can cause higher interference at specular and mirror angles. However, the fabrication error in unit cell shape rotation does not influence the received power at the design anomalous, specular and mirror angles.

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Experimental demonstration of a flexible-grid 1×(2×3)mode-and wavelength-selective switch using silicon microring resonators and counter-tapered couplers

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Chinese Optics Letters 2024年第1期22卷 52-58页

作者：孔德军鲁昊汪鹏君符强戴世勋陈伟伟王栎沣张波豪马凌霄李军戴庭舸杨建义 Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China College of Electrical and Electronic Engineering Wenzhou UniversityWenzhou 325035China College of Science and Technology Ningbo UniversityNingbo 315300China Laboratory of Infrared Materials and Devices The Research Institute of Advanced TechnologiesNingbo UniversityNingbo 315211China Department of Information Science and Electronics Engineering and Cyrus Tang Center for Sensor Materials and Applications Zhejiang UniversityHangzhou 310027China

A flexible-grid 1×(2×3)mode-and wavelength-selective switch which comprises counter-tapered couplers and silicon microring resonators has been proposed,optimized,and demonstrated experimentally in this *** carefully thermally tuning phase shifters and silicon microring resonators,mode and wavelength signals can be independently and flexibly conveyed to any one of the output ports,and different bandwidths can be generated as *** particle swarm optimization algorithm and finite difference time-domain method are employed to optimize structural parameters of the twomode(de)multiplexer and crossing *** bandwidth-tunable wavelength-selective optical router composed of12 microring resonators is studied by taking advantage of the transfer matrix *** results show that,for the fabricated module,cross talk less than-10.18 dB,an extinction ratio larger than 17.41 d B,an in-band ripple lower than0.79 dB,and a 3-dB bandwidth changing from 0.38 to 1.05 nm are obtained,as the wavelength-channel spacing is 0.40 *** corresponding response time is measured to be 13.64μs.

关键词： integrated optics optical waveguide mode-and wavelength-selective switch

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Successive Interference Cancellation Approach to Estimated Outage and Coverage Probability for UDN B5G Network

Successive Interference Cancellation Approach to Estimated O...

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IEEE International Conference on Artificial Intelligence in engineering and technology (IICAIET)

作者： Faizan Qamar Anand Gachhadar Syed Hussain Ali Kazmi Rosilah Hassan Faculty of Information Science and Technology Center for Cyber Security Universiti Kebangsaan Malaysia (UKM) Selangor Malaysia Department of Electronics and Computer Engineering Institute of Engineering Tribhuvan University Kathmandu Nepal

The rapid evolution of wireless communication technologies has led to the emergence of Ultra-Dense Networks (UDNs) in Beyond 5G (B5G) systems, providing unprecedented connectivity and capacity. However, the dense deployment of base stations in UDNs results in severe interference, leading to considerable performance challenges. To tackle this issue, the Successive Interference Cancellation (SIC) approach has gained attention as a promising technique to enhance system performance. This research article explores the potential of SIC implementation in 5G UDN. The primary contribution of this work is summarized as follows. Firstly, an improved SIC technique is developed to validate the theoretical study of SIC in a multi-tier 5G UDN. This technique enhances the accuracy of outage probability and coverage probability calculations by employing a stochastic geometry model that accurately represents the real-world scenario, considering the random distribution of both users and base stations within the UDN. Secondly, numerical simulations are conducted to demonstrate the effectiveness of the proposed SIC technique, surpassing traditional methods. The simulation results are compared with Zero Forcing (ZF) to assess the validity and applicability of the concept and validate the theoretical findings. This research contributes to advancing the understanding and practical implementation of SIC in UDN, paving the way for improved network performance and capacity in future wireless communication systems.

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RFID-Based Student Identification Card Attendance Monitoring System 1

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6th International Conference on Communication, Devices and Networking, ICCDN 2022

作者： Awotunde, Joseph Bamidele Sur, Samarendra Nath Aderinto, Muqeetat Tolulope Gaber, Tarek Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Kwara State Ilorin240003 Nigeria Department of Electronics and Communication Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University East Sikkim Rangpo Majitar737136 India Faculty of Computers and Informatics Suez Canal University Ismailia41522 Egypt School of Science Engineering and Environment University of Salford ManchesterM5 4WT United Kingdom

ISBN: (数字)9789819919833

ISBN: (纸本)9789819919826

Passive (low-frequency) radio-frequency identification (RFID) technology is being used in an increasing number of contactless systems. This project presents contactless attendance system passive radio-frequency identification (RFID)-based approach. RFID is a technology that uses radio waves to send information from an RFID tag attached to an object to a reader for the purpose of monitoring and identifying the object. This technology is one of the most widely used in the world;almost every organization uses RFID-based tracking, identification, and other functions on some level. A contactless RFID-based attendance monitoring system is a less cost-effective and efficient automated solution. The proposed system focuses on an RFID-based attendance monitoring system that uses RFID technology in connection with a programmable logic circuit (such as an Arduino) to address the problems that traditional paper and contact-based attendance systems experience. Each user (student or lecturer) will be given an RFID card. When the user puts the RFID card near the RFID reader, the RFID reader scans the user's data stored on the card, recording the current time using the real-time clock (RTC) module and the RFID tag number (UID) on the SD card. The Arduino uses the SD card module to communicate with the SD card. The buzzer beeps when a tag is scanned, and the system employs a 16 × 2 LCD module for display purposes. This system will take attendance automatically, and the attendance records will be stored in the database. The SD card serves as backup and can help to generate accurate reports when required. Therefore, the system rectifies human errors, saves time, and gives clear attendance. The system has been implemented using C# programming language. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Radio waves

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Enhancing Solar System Efficiency Based on Precise Real-Time Energy Data Analysis and Sun Position Tracking

Enhancing Solar System Efficiency Based on Precise Real-Time...

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International Conference on Electrical engineering and Information & Communication technology (ICEEICT)

作者： Md Salman Khan Mithil Md Abu Talha Shameem Ahmad Department of Electrical Engineering and Computer Science Electrical Engineering (MS) South Dakota School of Mines & Technology Rapid City SD United States Department of Electrical and Electronics Engineering (EEE) Faculty of Engineering (FE) American International University-Bangladesh (AIUB) Dhaka Bangladesh

ISBN: (数字)9798350385779

ISBN: (纸本)9798350385786

The Internet of Things (IoT) is becoming increasingly important for global civilization, as it can achieve various goals. As global temperatures rise, people are turning to alternative energy sources, such as solar energy, which can be used efficiently in various areas. Regular maintenance and development of solar systems can save on electricity costs. The IoT allows for real-time monitoring of solar energy systems from any location, improving efficiency and reliability. This study aims to improve solar power generation efficiency and reliability by using a combination of sensors, microcontrollers, and IoT technologies to monitor solar panel performance, track sun movement, and calculate energy production. The system also includes a user interface providing real-time data on solar panel performance and energy production. The proposed system offers higher efficiency, increased energy production, and improved reliability, making it a promising option for widespread adoption in the renewable energy industry.

关键词： Temperature sensors Temperature measurement Renewable energy sources Tracking Production Solar energy Real-time systems

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Deciphering User Perspectives and Prejudices: A Comparison of Models to Investigate Sentiments on ChatGPT on Twitter 2

Deciphering User Perspectives and Prejudices: A Comparison o...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Tiwari, Anil Hasan, Asif Joshi, Meeta Deepa Ganguly, Pralay Chakravarthi, M. Kalyan Rnb Global University Department of Commerce and Management Bikaner India Aligarh Muslim University Department of Psychology Aligarh India Marwadi University Faculty of Management Studies India M.M. Institute of Computer Technology & Business Management Mullana Haryana Ambala India Gnihm Jis Group India VIT-AP University School of Electronics Engineering Amaravathi522237 India

ISBN: (纸本)9798350384277

The capacity of ChatGPT (Chat Generative Pretrained Transformer) to produce responses that resemble those of a human has led to its rise in popularity. It is important to remember that using ChatGPT excessively or blindly can have negative effects, particularly when making important decisions. In a similar vein, a lack of confidence in the technology might result in underutilization and lost possibilities. This study explores a crucial component of this interaction: how user perception affects ChatGPT's efficacy. Although ChatGPT is clearly technologically advanced, its effectiveness depends on how users view its capabilities, limits, and replies. The abstract delves into the complex interplay between user perception and system performance, highlighting the critical roles played by ethical considerations, contextual knowledge, accurate responses, and transparency. The study recognizes the difficulties caused by system constraints and possible misconceptions, but it also highlights the importance of user happiness, trust, and acceptance. Through an analysis of the relationship between user perception and ChatGPT's efficacy, this abstract offers important new perspectives on how to best optimize human-AI interactions for improved user experiences. ChatGPT Has been widely used by the users from its launch. Many users have trust and different types of interaction patterns as well as user experience for enhancing their content creation in different types of careers. This study uses the ai platform for understanding its user perception with the use of tweets for examining their perceptions about this chat GPT. The proposed hybrid model is compared with random forest and svm technique for high accuracy in understanding user perceptions based on text analysis from Twitter. © 2024 IEEE.

关键词： Tweets

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Secure Key Management in 5G Networks Using Elliptic Curve Integrated Encryption Scheme (ECIES) for Low-Power IoT Devices

Secure Key Management in 5G Networks Using Elliptic Curve In...

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Mobile Networks and Wireless Communications (ICMNWC), IEEE International Conference on

作者： N Chitra Kiran. Meenakshi Maindola Bharath Kumara S. Kaliappan Pooja Bhatt Ramya Maranan Department of Electronics and Communication Engineering Alliance University Bengaluru India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Electronics and Communication Engineering Ramaiah University of Applied Science Bengaluru India Division of Research and Development Lovely Professional University Phagwara India Department of Computer Science and Engineering Faculty of Engineering and Technology Parul institute of Engineering and Technology Parul University Post Limda India Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai India

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

The rapid proliferation of the Internet of Things (IoT) has led to a surge in cyber threats, demanding the development of robust security frameworks. This paper introduces an advanced threat detection model, leveraging Artificial Intelligence (AI) and Cyber Twin Technologies for enhanced IoT security. The proposed framework integrates a Cyber Twin-a digital replica of physical IoT devices-with real-time data analytics to detect, predict, and respond to sophisticated cyber-attacks. The Cyber Twin continuously monitors IoT networks, identifying abnormal behaviors and enabling the implementation of dynamic security measures through AI-driven intrusion detection systems (IDS). A hybrid deep learning approach combining Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) is utilized to enhance anomaly detection and threat classification accuracy. The system's ability to simulate various attack scenarios within a digital environment facilitates the development of effective countermeasures while minimizing the impact on actual IoT operations. Experimental results demonstrate significant improvements in detection accuracy, reduced false positives, and enhanced system resilience. The proposed AI and Cyber Twin-based threat detection model sets a new benchmark in safeguarding IoT infrastructures against emerging cyber threats.

关键词： Accuracy Recurrent neural networks Intrusion detection Threat assessment Real-time systems Internet of Things Security Convolutional neural networks Artificial intelligence Monitoring

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Multilevel stacked deep learning assisted techno-economic assessment of hybrid renewable energy system

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Frontiers in Energy Research 2024年 12卷

作者： Kumar, Mantosh Namrata, Kumari Samadhiya, Akshit Kumar, Nishant Azar, Ahmad Taher Kamal, Nashwa Ahmed Hameed, Ibrahim A. Department of Electrical Engineering National Institute of Technology Jamshedpur India Department of Electrical and Electronics Engineering School of Engineering and Technology Sandip University Nashik India Department of Electrical Engineering B.K. Birla Institute of Engineering and Technology Pilani India College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Prince Sultan University Riyadh Saudi Arabia Faculty of Computers and Artificial Intelligence Benha University Benha Egypt Faculty of Engineering Cairo University Giza Egypt Department of ICT and Natural Sciences Norwegian University of Science and Technology Alesund Norway

The growing energy demand and target for net zero emission compelling the world to increase the percentage of clean energy sources which are freely available and abundant in nature. To fulfil this, a hyperparametric tuned multilevel deep learning stacked model assisted grid-connected hybrid renewable energy system (HRES) has been developed. The proposed system has been subjected to techno-economic assessment with a novel application of the rime-ice (RIME) optimization algorithm to determine the lowest possible cost of electricity (COE) corresponding to the best HRES system components. The analysis has been carried out for the residents of the eastern part of India. The results show that the prediction accuracy of the solar irradiance and wind speed are 95.92% and 95.80% respectively which have been used as inputs for the HRES. The proposed optimization used has shown the lowest COE of Rs. 4.65 per kWh and total net present cost (TNPC) of 7,247 million INR with a renewable factor of 87.88% as compared to other optimizations like GWO, MFO and PSO. Further sensitivity analysis and power flow analysis for three consecutive days carried out have also been done to check the reliability of the HRES and its future perceptiveness. Copyright © 2024 Kumar, Namrata, Samadhiya, Kumar, Azar, Kamal and Hameed.

关键词： Clean energy

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Right Angle Slot Fabric Antenna for Wireless Body Area Network 9

Right Angle Slot Fabric Antenna for Wireless Body Area Netwo...

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9th International Electrical engineering Congress, iEECON 2021

作者： Kesorn, Suthisa Wongsin, Norakamon Jangjing, Thinnawat Mahatthanajatuphat, Chatree Rakluea, Paitoon Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Thanyaburi12110 Thailand King Mongkut's University of Technology North Bangkok Department of Electrical and Computer Engineering Bangkok10800 Thailand

ISBN: (纸本)9781728195841

This paper is presenting a right-angle slot fabric antenna for the Wireless Body Area Network (WBAN) and dual-band. This technique uses different slot sizes in different positions appropriately. The right-angle slot fabric antenna consisting of a right-angle slot, and two smaller right-angle slots are applied to produce Circular Polarize (CP) resonance of high band. The paper is presenting an analysis of right angle microstrip slot antenna to attain dual-frequency, achieving slant ±45º linear polarization. The proposed right-angle slot fabric antenna uses the 2.4 GHz and 5.2 GHz band as a transmitting antenna of the wireless body area network. The prototype of a simulated antenna is fabricated and experimentally as well. The measured results were shown to be reasonable for the simulated ones. Moreover, the peak gains of the antenna is approximate 5.2 dBi at 2.4 GHz and 5.5 dBi at 5.2 GHz. © 2021 IEEE.

关键词： Slot antennas

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Virtual Horizons: Pioneering the Metaverse in Education and Industry Across ASEAN and Beyond

Virtual Horizons: Pioneering the Metaverse in Education and ...

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International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology, ECTI-CON

作者： Ittipon Yamyuan Sushank Chaudhary Muhammad Saadi Piya Kovintavewat Juthatip Wisanmongkol Mitsunori Makino La-or Kovavisaruch Kamol Kaemarungsi Taweesak Sanpechuda Lunchakorn Wuttisittikulkij Nitthita Chirdchoo Petchpilin Tontiwinyoopong Pisit Vanichchanunt Pruk Sasithong Suebphong Noisri Avishi Waidyaratne Panithan La-aiddee Rosa Delima Department of Electrical Engineering Chulalongkorn University Thailand Department of Electrical Engineering University of Central Punjab Pakistan Faculty of Science and Technology Nakhon Pathom Rajabhat University Nakhon Pathom Thailand National Electronics and Computer Technology Center Pathumthani Thailand Department of Information and System Engineering Chuo University Japan Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand Informatics Department Universitas Kristen Duta Wacana Yogyakarta Indonesia

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

The integration of the Metaverse into the educational sector heralds a transformative era in teaching and learning paradigms, with the ASEAN region at its forefront. This manuscript examines the Metaverse's potential to transcend traditional educational barriers such as resource limitations, geographic isolation, and the lack of personalized learning. Active case studies from Nakhon Pathom Rajabhat University (NPRU), Thailand, the University of Central Punjab (UCP), Pakistan, the National electronics and computer technology Center, Thailand, and Chuo University, Japan, are presented to offer a comprehensive overview of the Metaverse's current applications. These case studies showcase the Metaverse's role in creating inclusive, immersive, and engaging educational experiences. The paper identifies critical research gaps in technological feasibility, pedagogical adaptation, and equitable access that need bridging to harness the Metaverse's full potential. It underscores the necessity for robust technological infrastructure, innovative teaching methodologies for 3D learning environments, and inclusivity strategies for diverse socioeconomic and physical ability spectra. The inclusion of Chuo University's advancements extends the discourse beyond ASEAN, indicating the global momentum of Metaverse adoption in education. The paper posits that ASEAN's venture into this digital frontier, alongside international collaborations, prepares the ground for a more interconnected and technologically advanced future. This investigation into the ASEAN region and its collaboration with Japanese innovation underscores a unique global position, suggesting that the convergence of technology and education is key to resolving deep-rooted disparities in educational access and quality.

关键词： Industries Technological innovation Three-dimensional displays Metaverse Education Collaboration International collaboration

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