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International Conference on Smart Structures and Systems (ICSSS)

作者： V. Raji E. Rajendran V Balaji Dinesh Kumar Bhayal N. Rishikesh D. Karthikeyan Department of Computer Science and Engineering SKP Engineering College Tiruvannamalai Tamil Nadu India Department of Electrical and Electronics Engineering SKP Engineering College Tiruvannamalai Tamil Nadu India Faculty of Electrical and Electronics Engineering MAI-NEFHI College of Engineering and Technology Asmara Eritera Department of Information Technology Medi-Caps University Indore India Department of Electrical and Electronics Engineering Bannari Amman Institute of Technology Erode India Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Chennai

The paper discusses the most current advancements in image analysis and computer vision systems and how they are being used to assess the grade of food products. computer vision is a quick, reliable, and objective examination method that has spread throughout many different sectors. Its efficiency and precision enable the creation of fully automated systems by meeting the growing needs for quality and output. With a focus on monochrome image processing, colour images, and multispectral imaging for contemporary sorting and grading systems, the needs and most current advancements in hardware and software for machine vision systems are reviewed. The suggested method utilises the SVM algorithm to learn and identify fruit quality while using processing of images to extract features. Research experiments show how accurate the system is. Also included are demonstrations of uses for spotting faults, pollution, and illness on vegetables and fruits.

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Cloud-Powered Neural Networks for Sustainable Fishing Practices and Stock Management System 4

Cloud-Powered Neural Networks for Sustainable Fishing Practi...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Suresh, M. Xavier Prathik, A. Arun, V. Venugopal, R. Ganeshbabu, T.R. Muthulekshmi, M. School of Advanced Sciences and Languages Vit Bhopal University Department of Physics Madhya Pradesh Bhopal India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India School of Computing Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Kattankulathur Tamil Nadu Chennai India Department of Mathematics Tamil Nadu Salem India Department of Electronics and Communication Tamil Nadu Namakkal India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331540364

Sustainable fishing methods and efficient stock management are crucial considering growing environmental concerns;fishing practices and effective stock management are imperative. This research presents a novel approach that uses neural networks (NN) hosted in the cloud to transform sustainable fishing and stock management. This method trains NN to make predictions by combining several data sources, such as satellite images, weather patterns, and catch records. These models can reliably predict fish stocks' dynamics, giving stakeholders the information needed to make informed decisions. Crucial for real-time processing and storage of massive information is the scalability and flexibility offered by cloud infrastructure. This framework provides the appropriate usage of resources while simultaneously optimizing fishing tactics, which helps protect marine ecosystems. It demonstrates that method promotes sustainable fishing via thorough case studies and simulations. It provides a flexible and scalable solution to the problems confronting marine biodiversity and the fishing industry by combining advanced technology with ecological principles. To ensure a more egalitarian and sustainable future for fisheries management on a global scale, method is a giant leap forward in balancing commercial interests with environmental protection. Integrating data, ensuring sensors are accurate, managing huge datasets, managing regulatory compliance, and encouraging stakeholders to work together for sustainable practices are all challenges. © 2024 IEEE.

关键词： Fisheries

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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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Effects of Low-Geometrical-Precision PCB Manufacturing on mmWave Passive Metasurfaces

Effects of Low-Geometrical-Precision PCB Manufacturing on mm...

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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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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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Adjusted and Controllability Properties of Memristor Rucklidge System

Adjusted and Controllability Properties of Memristor Rucklid...

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2023 IEEE International Conference on Memristive Computing and Applications, ICMCA 2023

作者： Zang, Hongyan Huang, Lili Zhang, Shourong Joseph, Annie Anak Fu, Haiyan Lei, Tengfei Qilu Institute of Technology Collaborative Innovation Center of Memristive Computing Application Jinan250200 China Universiti Malaysia Sarawak Faculty of Engineering Kota Samarahan Sarawak Malaysia College of Intelligent Manufacturing and Control Engineering Qilu Institute of Technology Jinan250200 China Shandong Vanform High Energy Physics Technology Co. Ltd. Jinan250100 China Universiti Malaysia Sarawak Department of Electrical and Electronics Kota Samarahan Sarawak Malaysia College of Computer and Information Engineering Qilu Institute of Technology Jinan250200 China Jinan250200 China

ISBN: (纸本)9798350316230

There are many models of memristors, but there are no reports on exponential memristors. In this paper, a three- dimension memristor Rucklidge system with exponential memristor is proposed by introducing exponential function and constructing exponential memristor. The dynamic behavior of the system is analyzed by means of Lyapunov exponent and bifurcation diagram. The complex attractor coexistence and amplitude modulation characteristics of the system are found. The internal variable of memristor is introduced into the second two-dimensional equation as a feedback term, and a conditional symmetric system is constructed for the three-dimensional memristor system, which can realize the polarity control of output signal. By discussing the dynamic characteristics of exponential memristor chaotic system and the control mechanism of amplitude modulation, bias and conditional symmetry, the complex dynamic characteristics of exponential function memristor are revealed, which lays a foundation for its application in the field of secure communication. © 2023 IEEE.

关键词： Memristors

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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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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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