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IoT Based Smart Wireless Charging Unit for Electric Vehicles

IoT Based Smart Wireless Charging Unit for Electric Vehicles

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Cyber Physical Systems, Power electronics and Electric Vehicles (ICPEEV), International Conference on

作者： Sai Varun Pendela Bussa Prasanth Sridevi S M Christeena Joseph Juttiga Nishanth Department of Electronics and Computer Engineering SRM Institute of Science and Technology Ramapuram Chennai India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Ramapuram Chennai India

As electric vehicles become more prevalent, there is a growing need for convenient and efficient charging solutions. This paper proposes a smart wireless charging unit that can be used to charge electric vehicles wirelessly using inductive power transfer technology. The proposed charging unit is also wireless, meaning that it does not require any physical connections to the electric vehicle. This eliminates the need for cables and connectors, making the charging process more convenient and user-friendly. It also eliminates the risk of tripping hazards and other safety hazards associated with traditional charging cables. The proposed charging unit provides a flexible and convenient solution for electric vehicle charging. It can be used in a variety of locations, including public parking lots, private garages, and other locations where electric vehicle charging is needed. The system is designed to be efficient, reliable, and safe, making it an attractive option for electric vehicle owners and operators.

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DistilBERT News Article Classification: Overcoming Data Challenges and Improving Deep Learning

DistilBERT News Article Classification: Overcoming Data Chal...

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Advancements in Electrical, electronics, communication, Computing and Automation (ICAECA), International Conference on

作者： Premkumar Ramu A. N. Sasikumar D. Kavitha K. Suresh G. Anushree Manjunathan Alagarsamy Department of Artificial Intelligence & Data Science Sree Sastha Institute of Engineering & Technology Chennai Department of Computer Science and Engineering Panimalar Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Easwari Engineering College Ramapuram Chennai Tamil Nadu India Department of Computer Science and Engineering PSNA College of Engineering & Technology Dindigul Tamil Nadu India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering K. Ramakrishnan College of Technology Trichy Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Deep learning has revolutionized natural language processing by enabling complex models to classify text. This paper investigates using DistilBERT, a pre-trained transformer model, to classify news stories into World, Sport, Business, and Sci/Tech. To ensure model robustness, class imbalance, missing values, and duplicate entries in the dataset were carefully rectified. Five-crop augmentation and random flips were utilized to boost data variability and generalization. Model performance and embeddings were also visualized using t-SNE embeddings. Learning rate modifications and batch size trials optimized the model and balanced computing cost and performance. The project examined manual linear layer configuration to demonstrate mathematical transformations and deep learning architecture adaptability. DistilBERT was developed to extract important textual elements. After processing, these traits were categorized. Model metrics such as accuracy, precision, recall, and the F1 score demonstrated performance improvements. Deep learning pipelines can overcome data challenges and produce cutting-edge NLP results. This study explains gradient behaviour and pre-trained weight sensitivity. This study also reveals the need for hyperparameter tuning to optimize pre-trained models across domains. The case study advances transfer learning research and advises NLP practitioners. By increasing the learning rate, researchers and developers can improve pre-trained language models like DistilBERT.

关键词： Deep learning Training Adaptation models Computational modeling Pipelines Transformers Natural language processing Data models Mathematical models Sports

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Identification and Segmentation of Tumour in Brain MRI using Deep Learning Techniques 2

Identification and Segmentation of Tumour in Brain MRI using...

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2nd International Conference on electronics and Renewable Systems, ICEARS 2023

作者： Mahendran, N. Muthuvel, P. Arunprasath, T. Rajasekaran, M. Pallikonda Nirmala, J. Bridget Kottaimalai, R. Kalasalingam Academy of Research and Education Department of Electrical and Electronics Engineering Tamilnadu Krishnankoil India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Krishnankoil India Kalasalingam Academy of Research and Education Department of Biomedical Engineering Tamilnadu Krishnankoil India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Tamilnadu Krishnankoil India St. Michael Group of Institutions Chief Executive Officer Tamilnadu Kalaiyarkoil India

ISBN: (纸本)9798350346640

Medical image segmentation is an essential task to dissect the infected portion present in the raw medical images. Gliomas are the most widespread and abrasive form of brain tumour, resulting in a very short expected lifespan in their most severe form. As a matter of fact, diagnosis preparation is a vital step in enhancing the overall eminence of lifespan of cancer patients. Magnetic resonance imaging (MRI) is a popular scanning method for examining these tumours, but the large volume of information generated by MRI precludes manual segmentation in an acceptable time period, restricting the utilization of concise quantitative assessments in medical practice. Gliomas and their intra-tumoral structures must be precisely dissected not just to make clinical judgement as well as for further investigations. Moreover, it is a difficult task because the form, structure, and site of these anomalies vary significantly. As a result, fully automated and reliable dissection methods are desired;moreover, the wide structural and spatial diversity between brain tumours makes automatic delineation a tough problem. This work reviews some recent researches on glioma identification and segmentation and also discussed about the performance metrics. © 2023 IEEE.

关键词： Image segmentation

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A Novel Optimized Resource Allocation Algorithm using GWO Optimization Technique for WBAN 23

A Novel Optimized Resource Allocation Algorithm using GWO Op...

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Proceedings of the 2023 12th International Conference on Software and Information engineering

作者： Amira Olayan Albashir Adel Youssef Mohamed Samir Abou El-Seoud Faculty of Informatics and Computer Science The British University (BUE) Egypt Department of Electronics and Communication Engineering Arab Academy for Science Technology and Maritime Transport Egypt

ISBN: (纸本)9798400708107

Wireless Body Area Networks have severe challenges in energy management to enhance the longevity of the system. Specifically, for a WBAN system that operates by ambient energy sources. The system combines energy scavenging modules integrated into the sensors carried by patients, enabling data transmission to a personal device. Our approach does not rely on previous information as the characteristics of the scavenged and consumed energy are stochastic. To optimize user utility, a formulation of an optimization problem by employing the Grey Wolf Optimization technique (GWO) compared to previous works that used different optimization techniques, to decompose it into three sub-problems: battery management, collecting rate control, and transmission power allocation. To achieve our goals, we apply the GWO to the introduced online resource allocation algorithm that serves two primary purposes: (1) balancing energy scavenging and consumption of network nodes to ensure system stability, and (2) maximizing user utility. Through simulation results, we validate the effectiveness and optimization capabilities of the algorithm while applying a different optimization technique from the previous works maintained.

关键词： Energy management GWO WBAN

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Optimizing Energy Usage and Data Storage in Industrial IoT Settings Through Heuristic-Based Data-Rate Processors

Optimizing Energy Usage and Data Storage in Industrial IoT S...

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Women in Innovation, Technology & Entrepreneurship (ICWITE), IEEE International Conference for

作者： B. Bharathi Kannan Srinivasan Sriramulu Vidhya Gopal M Karthick Yanna Nithin Reddy B Natarajan School of Computing Science and Engineering Galgotias University India School of Computing Science and Engineering Galgotias University Computer Science and Engineering Sona College of Technology Salem India Department of Electronics and Communication Engineering K Ramakrishnan College of Engineering Tiruchirappalli Tamil Nadu India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India School of Computer Science and Engineering VIT University Chennai Tamilnadu India

The Internet of Things (IoT) is a fast-expanding field, with applications in areas as diverse as transportation, aviation, automation, electricity, and healthcare. Sensors, protocols, actuators, cloud services, and layers are just few of the components that make up an IoT architecture. The architecture of the Internet of Things is crucial in delivering the goods. The research community now provides dozens of IoT architectures. interoperability, security, privacy, dependability, energy limits, scalability, and a lack of shared standards are only some of the problems that have been recognized by the research community. The proposed IoT architecture should also consider issues of interoperability, scalability, dependability, and trust. By fixing these issues, this research work builds an IoT ecosystem that can accommodate a wide range of devices and services, guarantee smooth communication and scalability, and lay the groundwork for secure, dependable IoT offerings. In effective offloading and resulting interruptions in task execution might result from high latency or network outages. However, because of the importance of a select few delay-sensitive applications, it is important to guarantee their safety. Therefore, this research work aims to unload data at edge and cloud servers, Heuristic based Energy Efficient Data Rate Controller for Offloading has been developed for sensor networks. The bio-inspired NSGA-2 method is used to assess the performance of the suggested algorithm within the context of the problem’s multi-objective function formulation. When compared to the current energy aware scheduling approach, the results show that the offloading method can decrease the amount of time and energy needed to run edge servers, maintain load balancing, and maximize resource utilization while still allowing applications that require delays to meet their deadlines. Finally, simulation results demonstrate the proposed approach outperforms 20% high efficiency compared to the

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A Novel and Robust Sensing Technique under Cooperative Schemes of IOT Based Industrial WSN in Real Time

A Novel and Robust Sensing Technique under Cooperative Schem...

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Artificial Intelligence and Knowledge Discovery in Concurrent engineering (ICECONF), International Conference on

作者： Vijaya Vardan Reddy S P B. Jaison Resmi N C S. Ashok Sahana. S R. Thandaiah Prabu Department of Electronics and Communication Engineering R.M.K. Engineering College Chennai Department of Computer Science and Engineering R.M.K. Engineering College. Chennai Department of Electronics and Communication Engineering Mar Baselios Christian College of Engineering and Technology Kerala Department of Electronics and Communication Engineering Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Chennai

The fast growth of IoT-based wireless technologies across industries in recent years is no secret. As the Internet of Things (IoT) has spread into many real-time applications, the WSN (Wireless Sensor Network) has become an integral part of it. Different critical and non-essential uses of the IoT and WSNs now affect almost every facet of our daily lives. This article is to prove that, while the cooperative scheme is less effective under abnormal conditions, it provides better shielding against the severity of jamming, making the WSN more secure by cutting down on upkeep costs, and placing the groundwork for addressing the issue of jamming. This article also includes an algorithm for real-time jamming detection. In the first place, it looks at the aggressor's specific traits and the harm they inflict. And secondly, it demonstrates how the WSN's inherent resistance to attack. Finally, it takes into account performance metrics, particularly those that have an effect on transmission energy consumption.

关键词： Industries Wireless communication Resistance Measurement Wireless sensor networks Knowledge discovery Real-time systems

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Terahertz communications and Sensing Overview 3

Terahertz Communications and Sensing Overview

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3rd International Conference on Advancement in electronics and communication engineering, AECE 2023

作者： Salama, Ramiz Altrjman, Chadi Al-Turjman, Fadi Yadav, Satya Prakash Vats, Satvik Gupta, Richa Ai and Robotics Institute Research Center for Ai and IoT Near East University Department of Computer Engineering Near East Boulevard TRNC Mersin 10 Nicosia99138 Turkey Waterloo University Department of Chemical Engineering ONN2L 3G1 Canada Ai and Robotics Institute Near East University Artificial Intelligence Engineering Dept Mersin10 Nicosia Turkey Department of Computer Science and Engineering Greater Noida201306 India Graphic Era Hill University Department of Computer Science and Engineering Dehradun India Raj Kumar Goel Institute of Technology Department of Electronics & Communication Engineering India

ISBN: (纸本)9798350330724

Terahertz (THz) (0.1-10 THz) wireless communication is one of the cornerstones of the next 6G wireless networks. THz frequencies have the ability to dramatically increase wireless capacity performance and enable high-resolution environment sensing if applied properly due to the enormous quantity of accessible bandwidth. However, the usage of wireless devices in high-frequency bands like THz is constrained by a very unpredictable and dynamic channel. The ultimate result is essentially unreliable intermittent connections since these channel constraints have a naturally restricted communication range and a high susceptibility to blocking and chemical absorption. Because of this, the THz band's potential for high-rate communications and high-resolution sensing may be hindered. This study thoroughly examines the steps necessary to build up and operate next-generation THz wireless networks that will work together to deliver a variety of communication and sensing services in this environment. We first lay the groundwork for this by defining the THz frequency range's fundamentals. Using these fundamentals as a foundation, we outline and carefully investigate seven specific qualities that characterize THz wireless systems: Some of the subjects discussed include the quasi-opticality of the band, wireless architectures suited for THz, synergy with lower frequency bands, cooperative sensing and communication systems, PHY-layer protocols, spectrum access techniques, and real-time network optimization. These seven distinctive features enable our understanding of how to re-engineer wireless systems as we know them today to fit THz bands and their specific settings. On the one hand, THz systems make use of its quasi-optimality and may turn any sensing opportunity into a communication problem, aiding in the development of a new breed of flexible wireless systems that can do many jobs beyond straightforward communications. THz systems can alternatively use intelligent surfaces, lower

关键词： Internet of Everything

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Optimizing Controller Tuning using Bio-Inspired Algorithms for Robot Path Tracking 3

Optimizing Controller Tuning using Bio-Inspired Algorithms f...

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3rd International Conference on Sentiment Analysis and Deep Learning, ICSADL 2024

作者： Rani, Taneti Lilly Deepa, S. Joon, Rakesh Kumar Jayaseelan, P. Soudagar, Manzoore Elahi M. Dhanraj, Joshuva Arockia Jawaharlal Nehru Technological University College of Engineering Kakinada University College of Engineering in JNTU Department of Civil Engineering Andhra Pradesh Kakinada533003 India RMD Engineering College Department of Computer Science and Business Systems Tamil Nadu Kavarapettai601206 India Ganga Institute of Technology and Management Department of Electronics and Communication Engineering Haryana Kablana124104 India Achariya College of Engineering Technology Department of Mechanical Engineering Puducherry605110 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of VLSI Microelectronics Tamil Nadu Chennai602105 India Chandigarh University Punjab Mohali140413 India

ISBN: (纸本)9798350396157

In the field of industrial and commercial robotics, there has been a recent boom in research towards the navigation of wheel-based mobile robots. There are numerous aspects of this complex problem that need fixing, including issues with sensory data gathering and processing, trajectory planning, and controlling motion. In the field of motion control, creating reliable trajectory controllers is the highest priority. This study improves the Proportional-Integral-Derivative (PID) controller using Ant Colony Optimization (ACO) and Cat Swarm Optimization (CSO) to get the best possible trajectory tracking. The kinematics of a two-wheeled mobile robot serve as the foundation for its mathematical model. The user-specified reference trajectory is given to the robot. The conventional PID, ACO-PID, and CSO-PID controller's trajectory tracking capacity are evaluated using the metrics. The performance metrics such as the Integral of Squared Error (ISE), Integral of Absolute Error (IAE), and Integral of Time-weighted Absolute Error (ITAE) are taken. According to the simulation results, the CSO-PID controller beats the conventional PID and ACO-PID controllers in terms of error metrics. This discovery highlights the effectiveness of using CSO-PID to improve the trajectory-Tracking performance of mobile robots. © 2024 IEEE.

关键词： Three term control systems

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Sentiment Analysis using Deep Learning for Students’ Feedback: A Survey

Sentiment Analysis using Deep Learning for Students’ Feedba...

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International Conference on computer communication and Informatics (ICCCI)

作者： P Purushotham Ajmeera Kiran Yashwanth Reddy Vrishan Pavan Department of Computer Science and Engineering MLR Institute of Technology Hyderabad India Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore India

Over the course of the past ten years, sentiment analysis has seen widespread use across a variety of fields, including education, social networks, and business. The application of sentiment analysis is developing but remains tough, in particular in the field of education, where dealing with and processing students’ thoughts is a complicated undertaking due to the nature of the language used by students and the huge volume of information. The state of the use of sentiment analysis in this field is revealed through multiple literature evaluations, each of which examines the topic from a unique vantage point and within a unique set of circumstances. However, the existing body of research does not include a review that systematically classifies the research and results of applying natural language processing (NLP), deep learning (DL), and machine learning (ML) solutions for sentiment analysis in the education domain. This is a significant gap in the field. The Internet is one of the most common mediums for sharing and exchanging thoughts, feedback, or information regarding specific subjects. Most of the time, the feedback is provided in the form of number ratings and text. Numerical ratings can be processed with ease, but there is a vast amount of unstructured textual data present on the internet. Currently, we are working on a project in which a client can propose his idea on our website and take opinions in the form of textual review. This helps him to take specific opinions from reviewers, which will be helpful in making a decision that is more appropriate. Within the scope of this paper, we analysed and compared a variety of techniques that are utilised during the processing of text data. We were able to identify issues and scope within the textual feedback analysis with the assistance of the various methodologies.

关键词： Deep learning Surveys Sentiment analysis Social networking (online) Education Feature extraction Real-time systems

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A Compact Circular Shaped Monopole Antenna for UWB Application with WiMAX Band Rejection

A Compact Circular Shaped Monopole Antenna for UWB Applicati...

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International Conference on Automation, Signal Processing, Instrumentation and Control, i-CASIC 2020

作者： Jayanthi, K. Kalpana, A.M. Department of Electronics and Communication Engineering Government College of Engineering Salem636011 India Department of Computer Science Engineering Government College of Engineering Salem India

ISBN: (纸本)9789811582202

For secure and high-speed data transmission over smaller distances the Ultra-Wideband application becomes very popular in modern wireless communication. So for such applications, it is necessary to have small size printed antennas. However, the design of such antenna becomes quite challenging ones. The design and analysis of compact microstrip fed simple Ultra Wideband antenna with WiMAX (Worldwide Interoperability for Microwave Access) band rejection is presented in this paper. The Proposed antenna covers frequencies in the range of 2.3 to 13.5 GHz almost entire ultra wideband with 10db return loss. A maximum gain of 11db is achieved in the proposed design. In addition with this, the proposed design eliminates the interference from WiMAX band of 3.3 to 4.3 GHZ with centre frequency 3.5 GHz. The total size of the antenna is 30 mm × 30 mm × 1.6 mm and uses FR4_epoxy as a substrate with a relative permittivity of 4.4. The proposed antenna finds applications in handheld devices operated in 5G bands, RF energy harvesting. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Monopole antennas

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