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Transformation from 5G N/W to 6G N/W Through technology Inclusion

Transformation from 5G N/W to 6G N/W Through Technology Incl...

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Advance Computing and Innovative technologies in engineering (ICACITE), International Conference on

作者： Rohit Vaish V. Diana Earshia m Jeba Paulin Hassan m. Al-Jawahry B maheshwari T. mohanraj Department of Electronics & Communication Engineering IES College Of Technology Bhopal M. P India Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology (Deemed To Be University) Avadi Chennai TamilNadu India Department of Electronics and Communication Engineering Nehru Institute of Technology T.M.Palayam Tamil Nadu India Department of computers Techniques engineering College of technical engineering The Islamic University Najaf Iraq Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College TN Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore TN

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

For us, figuring out where we are or where our resources are has always been important. While technology has greatly benefited this quest, real-time interior locating remains a daunting problem, from conventional instruments like sextants to contemporary outside GPS devices. With the introduction of 5G mobile networks, network-based location became a practical option. With the help of sophisticated radio technologies, decreased end-to-end latency, specialist control protocols, and increased processing power at the network edge, 5G’s full promise for indoor and outdoor placement could now be realized. This study provides a thorough introduction to network-based positioning, examining advanced machine-learning-supported solutions as well as underlying ideas. A detailed comparison of learning methods used in network-based positioning is a significant addition. The article provides a forward-looking strategy to positioning using these advanced networks, as we expect the progression to 6G networks. Various application examples from different sectors are offered to highlight the topic’s practical ramifications, with a focus on industrial industry vehicular applications. The goal of the material is to be both insightful and educational, serving as a useful tool for comprehending and managing the rapidly changing field of location-based technology.

关键词： 6G mobile communication Wireless communication Protocols 5G mobile communication Reviews Process control Standardization

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An Investigation of Smart Detection for Small Lung Tumor with Tumor Pattern Recognition Algorithm

An Investigation of Smart Detection for Small Lung Tumor wit...

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

作者： G. Hariharan P. Prasanth P. Arthi Devarani T. Sajana Indhumathi C Ashok Kumar Deportment of Artificial Intelligence and Machine Learning Malla Reddy University Hyderabad Telangana India Department of Information Technology Vel Tech Multi Tech Dr. Rangarajan Dr.Sakunthala Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering R. M K College of Engineering and Technology Thiruvallur Tamil Nadu India Department of Artificial Intelligence and Data Science KoneruLakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India Department of Computer Science and Business Systems R.M. K. Engineering College Kavaraipettai Tamil Nadu Department of Computer Science BanasthaliVidyapith Rajasthan India

The Small-cell lung tumor is the prime public concern, resulting in increased mortality. Various therapeutic approaches have made progress in the handling of small-cell lung tumor. It's considered the backbone of cytotoxic chemotherapy treatment. However, clinical research shows that because small-cell lung tumor is chemically approachable, high response rates among small-cell lung tumorinfecters are generally not translated into cure. Therefore, it is high time to make progress in small-cell lung tumor research because every success in clinical trials is fought, and every failure is a lesson. A recent study of small-cell lung tumor has improved the prognosis of patients. Some notable research areas have provided new options for patients by conducting multiple clinical trials. In this paper smart edge detection based small lung tumor identification method was proposed. This model operates with the pattern recognition algorithm model. This algorithm smartly finds the edges of the tumor cells and provides the edge results. This will helpful for the doctors to identify the tumor part exactly.

关键词： Chemotherapy Image edge detection Lung cancer medical services Clinical trials Knowledge discovery Concurrent engineering

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Innovative techniques in the Construction of Very Large Scale Integration Circuits for Low-Power and High-Performance Circuits

Innovative Techniques in the Construction of Very Large Scal...

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Communications and Information technologies (GCCIT), Global Conference on

作者： V. Saravanan G. Sasikala P. Gomathi D. Kirubakaran A. Rajalingam Jubert R. Pagunuran Department of Nano Electronics Materials and Sensors Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamilnadu India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Department of ECE V.S.B. Engineering College Department of Computer Science and Engineering R.M.K Engineering College Engineering Department College of Engineering and Technology University of Technology and Applied Sciences Shinas Sultanate of Oman

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

Portable electronic gadgets and high-performance computing systems have increased demand for low-power, high-performance integrated circuits (ICs). VLSI technology, which creates integrated circuits with dozens to millions of transistors on a chip, is leading these efforts. This research investigates low-power, high-performance VLSI circuit construction methods. We start with VLSI design fundamentals and power management and performance optimization concerns. The constraints of traditional VLSI design methods in satisfying current electronics' strict requirements are examined. VLSI design methodology development and evaluation are the focus of this research. Advanced power optimization methods include mTCmOS, adaptive body biasing, and power gating. We also study clock tree improvement, signal integrity enhancement, and new materials and device topologies for high performance. In addition, we study how machine learning techniques automate and optimize circuit placement, routing, and timing in VLSI design. AI handles the complexity of current VLSI designs and finds optimal design parameters for minimal power and high performance. Scaling VLSI circuits to newer technology nodes raises process variance, leakage current, and thermal management difficulties, which the research tackles. These issues can be overcome with new ways to keep VLSI circuits scaling while preserving performance and power efficiency. Finally, case studies and experimental findings show that the offered methods work in real-world applications. These findings demonstrate significant power usage and performance benefits over typical VLSI design. In conclusion, our research advances VLSI technology by developing low-power, high-performance integrated circuits. The proposed VLSI design methods and solutions could lead to more efficient and powerful electronic systems.

关键词： Performance evaluation Design methodology machine learning Very large scale integration Thermal management Routing Topology Timing Leakage currents Signal integrity

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Developing the Performance and Longevity of Electric Vehicle Batteries Through the Implementation of Thermal management Systems

Developing the Performance and Longevity of Electric Vehicle...

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Disruptive technologies (ICDT), International Conference on

作者： N. Venkatesh Kumar Praveen Kumar. C B. Anandan B. A. Devan G. Sasikala V.R. Kavitha Department of Chemistry VSB Engineering College Karur Tamil Nadu India Department of Electronics and Instrumentation Engineering SRM Valliammai Engineering College Chengalpet Tamil Nadu India Department of Mechanical Engineering Siddharth Institute of Engineering & Technology Puttur Andhrapradesh India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Business Systems R.M.K. Engineering College Kavarapettai Tamil Nadu India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

Electric vehicles, also known as EVs, are quickly becoming more popular as a more environmentally friendly alternative to conventional automobiles powered by internal combustion engines. The performance and longevity of electric vehicle batteries, on the other hand, are crucial aspects that can have a substantial impact on the adoption of these batteries and their overall efficiency. As a result of the fact that temperature fluctuations have a significant impact on the degradation of batteries, thermal management systems are absolutely necessary in order to keep batteries functioning at their best and to extend their lifespan. The development and implementation of better thermal management systems for electric vehicle batteries is the primary emphasis of this field of research. In the first step of this process, we will examine the current status of electric vehicle battery technology as well as the difficulties connected with thermal control. After that, we investigate a variety of thermal management solutions, such as air cooling, liquid cooling, and phase change materials, in order to determine which methods are the most efficient for a variety of battery chemistries and operating situations. The design and simulation of a unique thermal management system that blends liquid cooling with superior heat dissipation materials is an important part of our study. This system is designed to manage thermal energy. In order to analyze the heat transfer that occurs within the battery pack and to optimize the design parameters of the thermal management system, we make use of computational fluid dynamics (CFD) and finite element analysis (FEA). We analyze the effectiveness of the suggested thermal management system by conducting a number of experiments and simulations. Our results show that the system is effective in terms of temperature regulation, energy efficiency, and the impact it has on the life of the battery. According to the facts that we have gathered, the deploymen

关键词： Phase change materials Degradation Liquid cooling Computational fluid dynamics Thermal management Electric vehicles Regulation Batteries Thermal analysis Thermal degradation

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Design and Development of an AI based Intelligent Door for Home Security System

Design and Development of an AI based Intelligent Door for H...

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Advances in Computing, Communication and Applied Informatics (ACCAI), International Conference on

作者： Sreelakshmy R ATA. Kishore Kumar Anita Titus S. Hemajothi J. Venkatesh Lavanya A Department of ECE Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai Department of ECE School of Engineering Mohan Babu University (Erstwhile SreeVidyanikethan Engineering College) Tirupati Department of ECE Jeppiaar University Chennai Vel Tech High Tech Dr.RangarajanDr.Sakunthala Engineering College Chennai Department Computer Science and Engineering Chennai Institute of Technology Chennai Department of ECE R.M.K. Engineering College Chennai

These days, safety concerns are universal. A house, a factory, a bank, and so on are all things that virtually everyone desires. In today's world, when more and more people have easier access to various resources, it is increasingly vital to ensure that one has a safe place to live. There must be a way to keep us secure since the daily rise in crime rates demands it. We're all aware that there are sophisticated security systems out there, but unfortunately, they're out of reach for a lot of people. Trespassing, intrusion, and other forms of illegal entry are commonplace, with many common targets including banks, business offices, financial organizations, jewellery stores, and government organizations. Our goal is to alleviate this problem by creating a low-priced electronic system that can detect intruders' movements and trigger an alert. To this end, we offer a new Android app called Door Security System that makes use of IoT technology to keep tabs on the door's state, manage the door, and boost home safety. The smart lock system in this instance is an android-based one, and it can function in both single-mode and multi-mode settings. Financial and commercial institutions have an urgent need for this kind of technology. The system also provides features for the average user, who does not need to be the only one with access to the lock's controls. The system's high efficiency, low price, and cutting-edge features and user-friendly design all contribute to its value. In the event that the door is opened without permission, the alarm will sound and a message will be sent to the homeowners.

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A Review on Effective Open-Source Web-Based Tools to Teach Signals and Systems Course in Online mode

A Review on Effective Open-Source Web-Based Tools to Teach S...

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International Conference on Inventive Research in Computing Applications (ICIRCA)

作者： S. Aswath Anandan P R.S. Valarmathi CH. mohan Sai Kumar D. Bharathi Dhasan Department of ECE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai Chennai India Department of ECE R. M. D. Engineering College Tiruvallur Tamilnadu India

Due to the recent pandemic situation, the traditional classrooms were replaced by digital classrooms. All the subjects were taught via computers and mobiles through any online platform. This research study presents the five effective web-based tools that can be used to teach the concept of signals and systems. These tools can enhance the active participation of the students during the online lecture hours because the students can visualize the concepts and might understand the concepts way better than simply listening to the voice of the lecturer. All the tools presented in this research study are very easy to use and can be used anywhere irrespective of the operating systems' limitations. most importantly all the tools presented here are open source and free to use. moreover, these tools can be used as a learning aid for the students even when they return back to a traditional classroom environment. This research study also discusses about the significance of Information Communication technology (ICT) tools in enhancing the students understanding. This study presents an empirical review and an introduction on some web tools, which can be used as an aid for teaching Signals and Systems course in Online mode.

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Pulse Non-Orthogonal multiple Access (PNOmA) technique for Future Generation Wireless Networks

Pulse Non-Orthogonal Multiple Access (PNOMA) Technique for F...

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Research methodologies in Knowledge management, Artificial Intelligence and Telecommunication engineering (RmKmATE), International Conference on

作者： S. Radhika Hemalatha S Helina Rajini Suresh K. makanyadevi William Andrews J S. Kamatchi Department of Information Technology R.M.K. Engineering College Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Chennai Tamil Nadu India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering M.Kumarasamy College of Engineering Karur Tamil Nadu India Department of Computer Science and Engineering Panimalar Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India

The foundation of Non-orthogonal multiple access (NOmA) is providing services to several consumers at once while using the same resource in terms of frequency, time, and area. In this research, we provide a novel approach to reducing complexity and power consumption by using ideas from pulsed NOmA systems. The strategy is quite versatile and may be used with numerous other systems. The improvement that we suggest differs from the OFDm system in that the amplitude shaping pulse of the OFDm modulation uses pulses with duty cycles. The time domain spectrum of the modulated signals is spread out by pulsing NOmA symbols, resulting in a spreading gain that is inversely proportional to the duty cycle of the pulsed subcarriers. We show that the additional diversity may be completely utilized by a pulsed-NOmA receiver without the need for OFDm receivers. It is demonstrated that while pulsed NOmA receivers outperforms with OFDm receivers, it also offers advantages over NOmA receivers in terms of intrinsic low complexity and low power consumption.

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Detection of Anomalies in Pedestrian Walking Using OpenPose and Bidirectional LSTm

Detection of Anomalies in Pedestrian Walking Using OpenPose ...

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Smart Electronics and Communication (ICOSEC), International Conference on

作者： P. Sivaprakash Senthil Kumar S Stanly Felix C S. Kayalvili meesala Sudhir Kumar S. Devi Department of Computer Science and Engineering Vel Tech Ragarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamilnadu Department of Mechanical Engineering R.M.K College of Engineering and Technology Chennai Tamilnadu India Department of Computing Coimbatore Institute of Technology Coimbatore Tamilnadu India Department of Artificial Intelligence Kongu Engineering College Perundurai Tamilnadu Department of Computer Science & Engineering SOCSE Sandip University Nashik MH India Department of Electronics and Communication Engineering Sree Venkateswara Colege Of Engineering Nellore Andhra Pradesh

OpenPose is employed for accurate human pose estimation, while bidirectional LSTm is used to model temporal dependencies in pedestrian movement. Despite its potential, this research faces several challenges. Firstly, the accurate detection of subtle anomalies in pedestrian gait requires robust feature extraction and representation. Secondly, handling occlusions, varying walking speeds, and complex environmental conditions can impact pose estimation accuracy and anomaly detection. Additionally, the scarcity of annotated anomaly data poses a challenge for model training and generalization. Temporal Convolutional Networks (TCN), Attention mechanisms, LSTm are recently used techniques. This work deals with the processing of camera recordings of pedestrians walking and the subsequent detection of abnormal events such as a person falling while walking. To achieve this functionality, the bidirectional LSTm is used that detect people in the image and extract the coordinates of their skeleton. The study will subsequently use the data obtained from the human skeleton to detect anomalies using Openpose.

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Analysis of EmI mitigation techniques in High Speed Printed Circuit Board

Analysis of EMI Mitigation Techniques in High Speed Printed ...

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Innovation in technology (INOCON), IEEE International Conference for

作者： m. Anandan L. P. Sajitha S. Geerthik Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Department of Information Technology Agni College of technology Chennai Department of Computer Science and Business System R.M.K Engineering College Chennai

To serve the numerous services, today’s wireless communication devices require microwave network systems with multiband and multifunctional capabilities. A growing number of microwave circuits and parts that can handle several frequency bands and larger bandwidths are needed to support the unprecedented systems. The issues in EmI/EmC have grown as a result of research and advances in contemporary wireless network communication equipment. Generally speaking, there are several ways to reduce different EmI issues. Therefore, the necessary tunable and downsized components are required to make these systems smaller, lighter, and less expensive. most studies on emission measurements have been done in the time domain recently and one of the widely used techniques is the creation of EmI band pass filters. This article presents band pass filters with HIDDS (Hybrid Inter Digital Defected Ground Structure). Additionally, a number of uses for the hybrid S-parameters are provided by fusing Agilent ADS circuit tool and full-wave Em solvers. To provide a complete Em response of the filter construction, 3D Em simulations are performed. The analysis of the simulated findings with the results of previous experiments has revealed that HIDDS (Hybrid Inter Digital Defected ground Structure) provides minimal insertion loss and a larger range of stop band frequencies. Therefore, wireless systems might benefit from the band pass filters with HIDDS that have been proposed.

关键词： Band-pass filters magnetic separation Wireless networks Electromagnetic interference Insertion loss microwave communication microwave theory and techniques

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HmLm: An Intelligent Artificial Intelligence Assisted Strategy to Identify UPI Frauds Based on Hybrid markov Learning methodology

HMLM: An Intelligent Artificial Intelligence Assisted Strate...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： S. Bharath G. Lakshmi Vara Prasad V. Sujatha S. Hemajothi D. Sharada mani N.R Gladiss merlin Department of ECE Rajalakshmi Institute of Technology Chennai Department of AIMLDS QIS College of Engineering and Technology Vengamukkapalem Ongole AndhraPradesh Department of Master of Computer Applications S.A. Engineering College Chennai Department of ECE Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Department of AIMLDS QIS College of Engineering and Technology Vengamukkapalem ONGOLE Andhra Pradesh India Department of Artificial Intelligence and Data Science R.M.K. Engineering College Chennai

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

The proliferation of Unified Payments Interface (UPI) transactions in the digital age has considerably improved financial inclusion, but it has also increased the vulnerability to fraud. This manuscript introduces a novel approach that employs Artificial Intelligence (AI) to detect UPI frauds. The approach is based on deep learning and is referred to as the Hybrid markov Learning methodology (HmLm). To evaluate the suggested system, it is cross-checked against the traditional Hidden markov model (Hmm). Our approach combines the benefits of modern artificial intelligence methods with markov models to improve the accuracy of fraud detection. Combining deep learning algorithms with probabilistic state transitions allows the hybrid markov Learning methodology to dynamically analyze transaction patterns and behaviors. By modeling both historical and real-time transaction data, our approach improves the identification of unusual activity and fraud patterns that conventional algorithms may ignore. From experimental data, we prove our approach minimizes false positives and improves the rate for fraud detection against the current options available. Our work advances the current state of fraud detection systems using more flexible and robust fraud detection systems, thus enabling security and confidence in UPI transactions.

关键词： Deep learning Accuracy Heuristic algorithms Hidden markov models Learning (artificial intelligence) Sensitivity and specificity Probabilistic logic Real-time systems Fraud Security

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