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2025 International Conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Rajan, K. Palanivel Raj, J. Relin Francis Krishnan, R. Santhana Balamuralikrishnan, G. Vidyasree, G. Jothi, J. Nirmal Psna College of Engineering and Technology Department of Electrical and Electronics Engineering Dindigul India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India Scad College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India Sri Sai Ranganathan Engineering College Department of Computer Science and Engineering Coimbatore India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Avadi India

ISBN: (纸本)9798331509828

The preservation of biodiversity, particularly the monitoring of rare tree species in dynamic forest ecosystems, presents significant challenges due to the complexities in detecting and analyzing forest changes. This research introduces a novel IoT -assisted AI framework, termed FoLiA-Net (Forest Lightweight Adaptive Network), designed to improve the efficiency and accuracy of monitoring rare trees. The proposed algorithm combines IoT sensor data with machine learning techniques to adaptively detect, classify, and track rare tree species across large and dynamically changing forest areas. The framework utilizes a lightweight neural network structure to ensure real-time processing while minimizing computational resources, making it suitable for deployment in resource-constrained environments. Simulation experiments were conducted to evaluate the performance of FoLiA-Net in comparison with existing algorithms, including Faster R-CNN (F-R-CNN), Random Forest Classifier (RFC), and Gradient Boosting Machines (GBM). The evaluation was based on several key performance metrics such as accuracy, latency and detection efficiency. The results revealed that FoLiA-Net outperformed the existing algorithms in terms of accuracy and computational efficiency, demonstrating a notable improvement in the monitoring of rare tree species in diverse forest ecosystems. The proposed framework is particularly effective in large-scale forest monitoring, providing a valuable tool for biodiversity conservation efforts © 2025 IEEE.

关键词： Biodiversity Forest Ecosystems Machine Learning Rare Trees Simulation Sustainability

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Design of a Capacitance Coupled Antenna Array for WLAN Application 2

Design of a Capacitance Coupled Antenna Array for WLAN Appli...

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2nd IEEE International Conference on Device Intelligence, Computing and communication Technologies, DICCT 2024

作者： Dutta, Amisha Devisowjanya, P. Sakti Abirami, B. Amrita School of Engineering Amrita Vishwa Vidyapeetham Department of Electronics and Communication Engineering Chennai India Sri Sivasubramaniva Nadar College of Engineering Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350372847

A novel antenna design that can respond to change in environmental conditions is proposed in this paper. The WLAN frequency band is where the antenna is intended to function. This cutting-edge design seamlessly integrates circular patch antennas with capacitive feed, resulting in a narrow operational bandwidth spanning from 4.7 GHz to 4.9 GHz. The infusion of corporate feed into the array antenna significantly amplifies wireless connectivity, particularly between Vehicle-to-Vehicle (V2V) communication and mobile terminals. This antenna array's deployment is about to revolutionize wireless communication by guaranteeing an unmatched user experience and a 50% cost savings on deployment. The antenna array has an resonant frequency of 4.7GHz with a high gain of *** antenna's smaller size with its impressive gain, marking it as a novel innovation in antenna design. © 2024 IEEE.

关键词： Antenna arrays

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A Planar Quad-Band Bandpass Filter Employing Transmission Lines Loaded with Tri-Stepped Impedance Open-and Dual-Stepped Impedance Short-Ended Resonators

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Progress In Electromagnetics Research C 2024年 147卷 65-72页

作者： Arif, Kamran Phani Kumar, Kanaparthi V. Barik, Rusan Kumar Chakaravarthi, Geetha Department of Instrumentation and Control Engineering National Institute of Technology Tiruchirappalli Tamil Nadu Tiruchirappalli620015 India Department of Electronics and Communication Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu 603203 India School of Microelectronics Southern University of Science and Technology Guangdong Shenzhen518055 China

A highly miniaturized bandpass filter with quad-band response is demonstrated in this article. The proposed quad-band bandpass filter has a novel topology comprising series quarter wavelength transmission lines loaded with tri-stepped impedance open-ended resonators and a dual-stepped impedance short-ended resonator. The proposed quad-band bandpass filter configuration is validated by theoretically verifying the transmission zeros and pole frequencies using even-odd mode analysis. A prototype operating at 0.475 GHz, 1.695 GHz, 3.48 GHz, and 4.53 GHz is designed, implemented, and experimented. The tested insertion losses at these center frequencies are 0.38 dB, 0.71 dB, 1.03 dB, and 1.22 dB, and the return loss is better than 10 dB in each passband. Each passband is isolated by a transmission zero with a rejection better than 40 dB. The proposed quad-band filter occupies a compact size of 0.146 × 0.087λ2g and is distinguished by its high compactness, wide bandwidth, multiple transmission zeros and poles, and high performance compared to benchmark designs making it more suitable for multi-band wireless applications. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Bandpass filters

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Design & Development of Remote-Controlled Arduino based Bot for Cleaning Water in Rivers 15

Design & Development of Remote-Controlled Arduino based Bot ...

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Kumar, Hareesh Nirmala, Y.N. Pavithra, G. Manjunath, T.C. Department of Electronics & Communication Engineering RV Institute of Technology and Management Bangalore India Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India

ISBN: (纸本)9798331300579

River bodies have been polluted indiscriminately by being subjected to waste generated by industries and human beings. Apart from the soluble waste, there is a lot of insoluble waste which creates a layer on the river body that not only affects the quality of water but also prevents the sun rays from moving down the river bed;this seriously affects the aquatic life within the river-considering the above factor we have designed and fabricated a remote controlled machine which can collect the floating waste from the river bodies. The machine is controlled with the help of a Bluetooth module. This Bluetooth module [1] controls the DC motors on the machine and helps the machine to move and make various movements. The machine includes a garbage tray that accumulates the garbage collected. The Indian government has assumed care of river cleaning and has invested a significant amount of money in projects such as "Namami Gange" as well as other cities such as Ahmadabad and Varanasi. Taking this into account, this machine was created to clean the surface of river water. The project's major goal is to reduce the amount of manpower and time required to clean the river. © Grenze Scientific Society, 2024.

关键词： DC motors

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Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system

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ICT Express 2025年第3期11卷 448-453页

作者： Kumar, Mukkara Prasanna Summaq, Ammar Chinnadurai, Sunil Selvaprabhu, Poongundran Kumaravelu, Vinoth Babu Sarker, Md. Abdul Latif Han, Dong Seog Department of Electronics and Communication Engineering School of Engineering and Sciences SRM University-AP 522502 India Department of Communication Engineering School of Electronics and Engineering Vellore Institute of Technology Tamil Nadu Vellore 632014 India Centre for ICT & Automotive Convergence Kyungpook National University Daegu 41566 South Korea School of Electronic and Electrical Engineering Kyungpook National University Daegu 41566 South Korea

Intelligent Reflecting Surfaces (IRS) offer a promising solution for enhancing sum rates in wireless networks by dynamically adjusting signal reflections to optimize propagation paths. When combined with Non-Orthogonal Multiple Access (NOMA), which enables multiple users to share the same frequency band, significant improvements in spectral efficiency can be achieved. However, as the number of users increases in IRS-NOMA systems, ensuring consistently high data rates for all users becomes challenging due to coverage limitations and inefficient power allocation in static network configurations, leading to performance degradation in multi-user scenarios. To address these limitations, we propose a novel IRS-NOMA cooperative system designed to optimize sum rates through an intelligent power allocation algorithm, nearby users, and IRS to assist the base station in delivering signals and expanding network coverage. The proposed system operates in two phases: during the first phase, the base station transmits signals directly to users and indirectly through the IRS. In the second phase, nearby users assist in relaying signals to enhance coverage and reliability. The proposed system adopts a cascaded channel model to accurately capture the interactions between the base station, IRS, and users. By leveraging our optimization algorithm, the proposed system ensures efficient resource allocation, achieving superior spectral efficiency and fairness among users compared to traditional models. Numerical results validate the effectiveness of the proposed system, demonstrating its potential for next-generation IoT networks. © 2025 The Authors

关键词： Intelligent Reflecting Surface IoT Non-orthogonal multiple access Orthogonal multiple access

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Flexible And Improved Antennae For Drone Applications 3

Flexible And Improved Antennae For Drone Applications

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3rd International Conference on Electrical, electronics, Information and communication Technologies, ICEEICT 2024

作者： Vallikannu, R. Sankar, P. Kavitha, B.C. Vinoth, M. Hindustan Institute Of Technology and Science Department of Electronics and Communication Engineering Chennai India K.Ramakrishnan College of Engineering Department of Electronics and Communication Engineering Tiruchirappalli India

ISBN: (纸本)9798350369083

A conformal antenna is a type of microstrip antenna designed to conform or follow some prescribed shape like a regular flat surface or an irregularly curved surface. The shape of the antenna can be a part of an aircraft, missile or a drone. It is possible to mount the antenna on a surface that curves such as cylindrical, spherical or other irregular shapes, unlike the standard flat patch antenna. In present drone communication, Circularly-polarized FPV (First Person View) antennas are being used for transmitting and receiving of data between the drone and the control unit. These FPV antennas are mostly operated at 5.8GHz frequency and a some FPV antennas are operated at 2.4GHz. However, these FPV antennas provide minimum return loss, maximum gain and maximum directivity, their major drawback is their shape. These antennas are mounted to the drones in such a way that these antennas are terrestrially protruded out of the surface. This results in higher aerodynamic drag on the antenna and also higher chance of antenna being getting damaged in case of unforeseen collisions. Therefore, there is a need of studying about other antennas that can be used as a replacement for the traditional FPV antennas. The new antenna should overcome the drawbacks of the existing FPV antennas without degrading the existing antenna performance metrics like gain, directivity etc., and all these can be achieved by using the conformal antennas. Conformal antennas are very thin and can be mounted on any irregularly curved surface. They can be developed at a wide range of frequencies with minimal return loss and high gain. The aerodynamic drag will be very less as these conformal antennas won't pop out from the surface. © 2024 IEEE.

关键词： Aerodynamic drag

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A Comparative Study on Emotion Analysis Using Transfer Learning 6

A Comparative Study on Emotion Analysis Using Transfer Learn...

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6th IEEE International Conference on Emerging Smart Computing and Informatics, ESCI 2024

作者： Saranyaraj, D. Arcot, Pavitra Amrita School of Engineering Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Chennai India

ISBN: (纸本)9798350306613

Emotional analysis plays an important role in improving AI's ability to learn and respond to human emotions. Face emotion recognition is expeditiously expanding its field of research with important applications across various domains such as medical image analysis, monitoring, personal identification, and security and theft alerts in current society This technology enhances human-computer interactions, mental health and well-being, market research, education and training, security, and social robotics by enabling machines to recognize, interpret, and respond to human emotions based on facial expressions. Transfer learning has come up with a promising address to leverage pre-Trained models for emotion analysis tasks. In this paper, a comprehensive comparative analysis of various transfer learning approaches employed in AI emotion analysis, unveiling valuable insights into their performance. The main objective is to assess the effectiveness and performance of the transfer learning algorithms, namely Resnet-50, Vgg-16, Vgg-19. etc. To carry on our analysis, we have used the FER2013 emotion dataset. The model's performance is assessed through evaluation metrics which include precision, recall, F1 score, and AUC. Our experimental results demonstrate that transfer learning algorithms significantly enhance the performance of emotion analysis AI systems. Upon stringent experiment and evaluation on FER2013 dataset, our findings reveal that VGG16 demonstrates the highest accuracy. © 2024 IEEE.

关键词： AI in cognitive research emotion recognition Face recognition

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Optimizing Packet Delivery in Underwater Wireless Sensor Networks: A Comparative Study of Genetic Bee Colony and Ant Colony Algorithms 9

Optimizing Packet Delivery in Underwater Wireless Sensor Net...

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9th International Conference on communication and electronics Systems, ICCES 2024

作者： Kannappan, A. Kolagani, Nagesh Kandaswamy, Vijay Anand Vishnupriyan, J. Saveetha School of Engineering Simats Department of Electronics and Communication Engineering Chennai India Saveetha School of Engineering Simats Department of Computer Science and Engineering Chennai India Chennai Institute of Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350377972

Physically Underwater communication adopt the bio inspired genetic bee colony formed network communication structures. Underwater environment condition communication is established between the Transmitting node and in between several clustering relay nodes to reach receiver nodes. Transmitting nodes are placed on sea bed areas at certain depth and clustering relay nodes are placed in various underwater depth conditions dipping the sensor nodes. Also, underwater battery life is very hard and battery replacement is a very tough task. Hence, an alternate solution of optimization battery capacity utilization is used. This optimization algorithm improves Packet delivery ratio by comparing genetic bee algorithm with Ant colony algorithm. Hence, equivalence of two algorithms implemented in underwater conditions. The genetic bee colony Algorithm produces better output results more than 4 to 6 percentage compared to ant colony parameter output. The genetic bee colony algorithm offers a maximum clustering node technique compared to ant colony algorithm. Its greater support for saving energy consumption extending battery life. © 2024 IEEE.

关键词： Ant colony optimization

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SKIDS: An Object Classification and Smart communication based Waste Bin 3

SKIDS: An Object Classification and Smart Communication base...

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3rd International Conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Chowdhury, Shriya Roy, Soumo Chowdhury, Dishanwita Ghosh Chakraborty, Srijeet Jain, Khyati Priya Bhattacharyya, Budhaditya Vellore Institute of Technology Electronics and Communication Engineering Vellore India

ISBN: (纸本)9798350372120

The study introduces SKIDS, a Smart Bin system using IoT for effective waste management. It utilizes YOLOv8 for object detection and classification, integrating a custom dataset. Firmata serves as a communication protocol between microcontrollers and host computers, with PyFirmata enabling Python interaction. Hardware includes a servo motor controlled by PyFirmata for classification of Plastic and Non-Plastic Waste, an ultrasonic sensor for distance measurement, and Arduino IDE for control. The system employs the Bluetooth Terminator app to alert garbage collection vehicles based on bin capacity. Integration of communication modules, sensors, and machine learning facilitates intelligent waste management and segregation. Experimental evaluation demonstrates the system's ability to accurately categorize waste types and improve collection procedures compared to traditional methods. Performance metrics such as accuracy, precision, and recall validate its effectiveness in promoting sustainable urban environments through ML-based waste management. © 2024 IEEE.

关键词： Object detection

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Multi-response Optimization of Process Parameters in Stretch Blow Molding of PET Plastic Bottles

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Journal of The Institution of Engineers (India): Series D 2024年 1-15页

作者： Merga, Henok Hailu Sinha, Devendra Kumar Getachew, Aklilu Workneh, Melese Rathee, Devender Singh Department of Mechanical Engineering School of Mechanical Chemical and Materials Engineering Center of Excellence Advanced Manufacturing Engineering Adama Science and Technology University Adama Ethiopia Department of Electronics Engineering School of Electrical Engineering and Computing Adama Science and Technology University Adama Ethiopia

Plastic waste in Polyethylene Terephthalate (PET) bottles is creating new challenges, which in today’s scenario is a major concern in every industry. The defect in PET bottles mainly occurs due to improper selection of levels of process parameters during the production process. Therefore, optimizations of process parameters are very important to minimize the defects produced due to improper stretch blow molding process parameter selections. The study is carried out on 2 L bottle since they have the highest demand and the highest defect rate in the PET bottling sector. The PET bottles have been developed from the preform at various blowing temperature, blowing speed and blowing angle on commercially available SBM setup. The design and plan of experiments have been done according to L9 orthogonal array of Taguchi method. The optimization of process parameters has been done through the hybrid Taguchi grey relational analysis optimization technique on four factors namely: blowing temperature, first blow angle, second blow angle and blowing speed. Each value of parameter was taken at three levels in combination. The testing of all samples such as tensile test, wall thickness measurement and hoop stretch ratio measurement have been carried out as per ASTM standards. The morphology of the samples has been carried out through scanning electron microscope. A maximum tensile strength of 65 MPa, minimum hoop stretch ratio of 5.45 and a maximum wall thickness 0.24 mm was found at varying process parameter combinations. It has been observed that among the process parameters: blowing temperature was the most significant factor for minimizing defects while second blow angle was the least significant parameter. It was found that optimized values of the process parameters yielded 15% reduction in defects on PET bottles. The present study is expected to contribute significantly for the industries working in this field for carrying out production at optimum levels of process parameter

关键词： Plastic bottles

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