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Virtual Fitness Trainer using Artificial Intelligence 2024

Virtual Fitness Trainer using Artificial Intelligence

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16th international conference on Contemporary Computing, IC3 2024

作者： Gurbuxani, Shrey Gupta, Lakshay Madan, Kapil Department of Computer Science Engineering and Information Technology Jaypee Institute of Information Technology Noida India

ISBN: (纸本)9798400709722

An AI wellness coach is a software program that guides users through physical health routines by leveraging MediaPipe, OpenCV, and Python features. The program uses OpenCV computer vision techniques to monitor user progress and provide feedback on procedure and frame. To prepare the video data and provide real-time assessments, MediaPipe is used. Additionally, the app makes use of machine learning algorithms to provide users with tailored wellness recommendations and promote adoption. When these advances are combined, clients have an incredibly intelligent and practical way to advance their physical fitness. © 2024 Copyright held by the owner/author(s).

关键词： Python

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ASIC acceleration of floating-point arithmetic: Empowering fast and reliable computations 5th

ASIC acceleration of floating-point arithmetic: Empowering f...

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5th international conference on advances in AI for Biomedical Instrumentation, Electronics and Computing, ICABEC 2023

作者： Siddireddy, Kapileswarreddy Hegde, Ganapathi Department of Electronics and Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9781032642987

Modern computer systems are fundamentally based on floating-point arithmetic, which enables high precision computations and the execution of intricate algorithms in hardware. Floating-point units (FPUs) are designed and implemented for use in Application Specific Integrated Circuits (ASICs). In this study, I focused on the difficulties and trade-offs associated with obtaining high performance and low power consumption. Here, I discuss several methods for incorporating FPUs in ASIC designs, such as dedicated units and floating-point arithmetic and its benefits. The performance and power use of several FPU designs on a 45nm technology node are also shown in the experimental findings that we have presented. The study of binary operations is crucial to engineering science. Verilog-HDL is used to design, and Cadence is used to implement them. This paper also includes an analysis on suggested method’s area, power, and latency for various specifications. To effectively handle FPUs’ implementation by using tools like Genus, Tempus, Innovus. © 2024 The Author(s).

关键词： Application specific integrated circuits

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Metro Route Optimization for Urban Public Transportation Using Q-Learning

Metro Route Optimization for Urban Public Transportation Usi...

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2024 IEEE international conference on Recent advances in science and engineering Technology, ICRASET 2024

作者： Dhiman, Richa Sushma Singh, Nongmeikapam Thoiba Grover, Richa Chandigarh University Department of Computer Science And Engineering Punjab Mohali India University Institute of Computing Chandigarh University Punjab Mohali India

ISBN: (纸本)9798350388602

Nowadays, efficient public transport is crucial, particularly in those where pollution and traffic congestion are significant issues. This study introduces a great approach to using the learning algorithm like Q-learning for finding the best route for passengers. Metro networks, which link many towns and areas, are essential to the survival of many cities. We present an approach that treats the whole metro map as a graph with edges connecting nodes. We enable the system to learn the most efficient path for passengers based on the rewards and punishments associated with different behaviors through the use of a Q-learning algorithm, which is also a reinforcement learning algorithm. As we know, this learning is stateless, rule-free, and feedback-based, as opposed to traditional routing techniques;it can learn the best rules for urban routing. The goal is to shorten the overall time taken to travel by using fewer stops. Through simulations and use of real-time data, we demonstrate the effectiveness of our method for determining the best subway routes, helping to deliver better public transportation and availability for commuters in urban environments. © 2024 IEEE.

关键词： Traffic congestion

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Enhancing Physical-Layer Security in 6G Networks Through Integrating Irregular Reconfigurable Intelligent Surfaces 1

Enhancing Physical-Layer Security in 6G Networks Through Int...

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1st international conference on advances in computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Singh, Shweta Nagappan, Beemkumar Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

Recently, both business and academics have shown an immense amount of interest in reconfigurable intelligent surfaces (RISs) because of its affordability and versatility in modifying the amplitude and phase of wireless signals using inexpensive passive reflecting components. For 6G wireless communication networks, several RIS-assisted methods have been put out to increase data throughput and energy efficiency. Regarding a time-division duplex (TDD) downlink cellular wire-tap network, that comprises of one base station (BS) that has several antennas, several legitimate parts for user equipment (UE), numerous eavesdroppers (EVEs) & several RISs, researcher present an innovative RIS depended channel randomization (RCR) technique in this research to improve physical-layer security (PLS). The terahertz (THz) radio region could be utilized at 6G net, researcher assume that there is only a line-of-sight (LOS) path among RISs, UE and BS. As part of the suggested method, each RIS creates several reflection matrices in a pseudo-random way and then uses for the pilot signal duration (PSD) at the uplink & the data transmission duration (DTD) at the downlink. For each reflection matrix, the BS figures out the UE's wireless channels using all of the RIS's reflection matrices and chooses the UE with an optimal secrecy rate. The presented method achieves higher levels of privacy compared to standard methods. © 2025 IEEE.

关键词： Base stations

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Deep Learning-Based Classification of Areca Nut Yellow Leaf Disease with ResNet-50 CNN

Deep Learning-Based Classification of Areca Nut Yellow Leaf ...

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2024 IEEE international conference on Recent advances in science and engineering Technology, ICRASET 2024

作者： Veeresha, R.K. Lathish Kumar, N.D. Shetty, Samarth S. Prasad, Shrajan G. Poojary, Swaroop S. Karegoudra, Shilpa Koten, Hasan Department of Robotics and Artificial Intelligence Udupi574110 India Department of Computer Science and Engineering Udupi574110 India Istanbul Medeniyet University Faculty of Engineering and Pure Sciences Department of Mechanical Engineering Istanbul Turkey

ISBN: (纸本)9798350388602

Detecting healthy arecanut leaves, yellow leaf disease in arecanut, and differentiating these from other types of leaves using deep learning involves designing an advanced neural network model for precise image classification. The model is trained on a dataset comprising images of healthy arecanut leaves, arecanut leaves affected by yellow leaf disease, and various other leaves from different plant species. Convolution Neural Networks (CNNs) are leveraged to extract and analyze intricate patterns in the images, enabling the model to effectively classify each leaf type. Transfer learning techniques might be utilized to improve the model's performance and adaptability. The model's effectiveness is evaluated using accuracy, precision, recall, and F1 score on a dedicated test dataset. This paper explores the methodology and results of employing image detection for the identification of healthy arecanut leaves, yellow leaf disease, and other leaf types, with potential applications in agricultural diagnostics, disease management, and crop monitoring. © 2024 IEEE.

关键词： Convolutional neural networks

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Dynamic Topology Management In Ad-Hoc Networks For Improved Performance 2

Dynamic Topology Management In Ad-Hoc Networks For Improved ...

引用

2nd IEEE international conference on advances in Information Technology, ICAIT 2024

作者： Anakath, A.S. Kannadasan, R. Margarat, G. Simi Pandian, A. Pasumpon Antony Sibiya Varghese, V. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Software Systems School of Computer Science and Engineering Vellore Institute of Technology VIT University Tamil Nadu Vellore India Department of Computer Science and Engineering New Prince Shri Bhavani College of Engineering and Technology Tamil Nadu Chennai India Department of Computer Science and Engineering CARE College of Engineering Trichy India Department of Artificial Intelligence and Data Science GRT Institute of Engineering and Technology Tamil Nadu Tiruttani India

ISBN: (纸本)9798350383867

Optimization in ad hoc networks is a highly specialized task because the structure of the network is loosely formed, and each node is independently responsible for its operation. In order to obtain a better result from this solely formed networks this report offer extensive Dynamic Topology Management (DTM) method. Dynamic routing protocols lager lines, dividend balancing, Life-saving administration, guarantee of reliability, cross-layer design, security aspects and the on-time monitoring and discovery of topology changes are the main objectives and steps to be accomplished. Real-time Location monitoring and forest structure discovery are made possible by employing adaptive routing protocols, namely Dynamic Source Routing(DSR) and Ad-Hoc On-Demand Distance Vector(AODV). Also, the algorithms are capable of making advance adjustments to routing routes and resource allocations drawn from the mobility patterns forecasting which is vital. Load balancing methods, which distribute traffic in a network evenly, enable the system to run efficiently and avoid problems caused by overloading. Algorithms that are energy-efficient and make the best use of energy resources having their topology's optimized are introduced to the streamlined energy distribution systems. These algorithms are focused on the node's energy level. Through fault tolerance techniques which recognize and handle failures in nodes and partitioned networks, connectedness activity is a continuous one. Through QoS perception, the network topology might automatically be tailored to conform to the given quality criteria, thus not restricting the choice for differing applications. The proposed could have defenses against adversary nodes and their potential DDoS attacks which will enhance network protection. Yet another advantage of an architectural style that promotes cross-layer collaboration is enhanced topology management which is the goal around which the functions of various levels of the protocol stack revolve

关键词： Decision making

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Challenges in Cyber Physical Social Systems and Internet of Things 5

Challenges in Cyber Physical Social Systems and Internet of ...

引用

5th international conference on Smart Electronics and Communication, ICOSEC 2024

作者： Revathi, S. Raja, J. Mohanraj, M. Malathi, K. Mallala, Balasubbareddy Vidhya, R.G. B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Computer Science Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology School of Computing Department of Computer Science and Engineering Chennai India Sri Eshwar college of engineering Department of Computer Science and Business Systems Coimbatore India Saveetha Engineering College Department of Artificial Intelligence and Machine Learning Chennai India Chaitanya Bharathi Institute of Technology Department of Electrical and Electronics Engineering Telangana Hyderabad India Hkbk College of Engineering Department of Ece Bangalore India

ISBN: (纸本)9798331504403

This research analyses the complex dynamics of Cyber-Physical-Social Systems (CPSS), encompassing cyber-physical systems, cybersecurity, the Internet of Things (IoT), and social media. By exploring the interactions among these elements, this study analyses the vulnerabilities, risks, and potential benefits within the CPSS framework. This research study analyses the evolving landscape of cybersecurity by considering various aspects such as data integrity, privacy in the IoT era, and the influence of social media on user behaviour and influence dynamics. The study also introduces innovative strategies to enhance CPSS resilience, including methods to mitigate cyber threats and enhance overall system integrity. Additionally, we investigate how social media shapes CPSS behaviours, offering valuable insights into influence dynamics. This research advances the comprehensive understanding of CPSS to support future studies and advancements in the protection and improvement of interconnected systems. © 2024 IEEE.

关键词： Cyber-Physical Systems Cyber-Physical-Social Systems (CPSS) Cybersecurity Internet of Things (IoT) Social Media

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Assessing the Efficacy of Distributed Ledger Technology for Immutable Data Logging and Fraud Prevention in IoT Retail Applications

Assessing the Efficacy of Distributed Ledger Technology for ...

引用

2024 international conference on advances in Computing Research on science engineering and Technology, ACROSET 2024

作者： Ponnrajakumari, M. Elanangai, V. Ramprasad, S.R. Velpula, Vijaya Kumar Bhagyalakshmi, L. Prabha, A.G. Velammal Engineering College Dept. of Ece Chennai India St. Peter's Institute of Higher Education and Research. Avadi Department of Electrical and Electronics Engineering Chennai India School of Computing Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Mlr Institute of Technology Dept of Ece Hyderabad India Rajalakshmi Engineering College Dept. of Ece Chennai India

ISBN: (纸本)9798350388800

This paper presents a comprehensive framework for assessing the efficacy of Distributed Ledger Technology (DLT) in IoT retail applications. The framework integrates five key algorithms: Data Validation Algorithm (DVA), Consensus Mechanism Algorithm (CMA), Fraud Detection Algorithm (FDA), Privacy-Preserving Algorithm (PPA), and Dynamic Smart Contract Algorithm (DSCA). Each algorithm addresses specific challenges, ensuring data integrity, achieving consensus, preventing fraud, preserving privacy, and enhancing smart contract adaptability. The ablation study evaluates the individual contributions of each algorithm, highlighting their significance in the overall framework. Comparative performance evaluations demonstrate the proposed framework's superiority, with higher scores across key parameters compared to existing assessment methods. The framework offers a robust solution for enhancing the security, integrity, and efficiency of DLT in IoT retail applications, addressing multifaceted challenges and requirements. © 2024 IEEE.

关键词： Distributed ledger

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Enhancement of Photovoltaic Dust Detection Using Deep Learning Technique

Enhancement of Photovoltaic Dust Detection Using Deep Learni...

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2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Gracia, R. Lillian Priyadharsini, C. Caroline, B.Elizabeth Karunya Institute Of Technology And Sciences Division Of Computer Science And Engineering Coimbatore India Ifet College Of Engineering Division Of Electronics And Communication Engineering Villupuram India

ISBN: (纸本)9798350371567

The dust collection on solar panels situated in solar parks is a common problem faced by PV system operators, particularly in arid and dusty regions. Dust deposition reduces the transparency of the panel surface, leading to decreased sunlight absorption and thus reduced energy conversion efficiency. Traditional methods for detecting dust accumulation involve manual inspection or periodic cleaning schedules, both of which are labor-intensive, time-consuming, and often inefficient. Recent developments in deep learning and machine vision have made autonomous dust detection techniquesfeasible. Numerous techniques have been employed to identify and measure dust on solar panels, such as machine learning models and image processing algorithms. In this paper, the dataset of clean and dusty images of the solar panels utilized wasapplied to four state of the art models and then the EfficientnetB0 model was proposed to detect the dust over the solar panels. On comparing the EfficientnetB0 model with the other state of the art models, EfficientnetB0 yielded an impressive accuracy rate of approximately 85.92%. Further research and development in this field hold the potential to revolutionize the maintenance and operation of solar power plants, contributing to a greener and more sustainable future. © 2024 IEEE.

关键词： Solar panels

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Analyzing Adaptive Intrusion Detection Systems for Improved Network Security 2

Analyzing Adaptive Intrusion Detection Systems for Improved ...

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2nd international conference on advances in Computation, Communication and Information Technology, ICAICCIT 2024

作者： Sharma, Nandan Jaggi, Arjun Takkalapally, Prashamsh Hudani, Karim Natarajan, Yuvaraj BC Public Service VictoriaBC Canada HCLTech San DiegoCA United States Department of Engineering Computing and Mathematical Sciences Lewis University United States Tampa FL United States Department of Computer Science Engineering Sri Shakthi institute of engineering and technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331541217

Analyzing adaptive intrusion detection systems (AIDs) ought to doubtlessly growth network security doubtlessly by imparting businesses with early detection, mitigation, and threat response capabilities. AIDs uses diverse strategies to hit upon malicious conduct, which includes gadget mastering algorithms, signature-based evaluation, and anomaly detection. Moreover, AIDs can take additional action so as to block, quarantine, or alert the perfect events while malicious interest is recognized. This paper examines the modern state of AIDs, its blessings, and disadvantages, and proposes feasible methods to enhance current technology. A dialogue on how device studying can be used to enhance the accuracy of AIDs is blanketed, as well as recommendations for companies while building or deploying a machine. In the end, the paper outlines capability regions of future research that would cause further advances in AIDs and network security. © 2024 IEEE.

关键词： Network intrusion

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