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innovative Practices in technology and Management (iCiPtM), international Conference on

作者： Ramakrishnan Raman sai Mounika Muramulla sreelekha Ponugoti srinivas. O K. Dhinakaran Ramu Kuchipudi C.R.Rene Robin Symbiosis Institute of Business Management Pune India Symbiosis International Pune India Department of Zoology and Aquaculture Acharya Nagarjuna University Guntur India Department of Computer Science RMK College of Engineering and Technology Thiruvallur India Department of Computer Science (A.I & M.L) S. R. University Hasanparthy India Department of Computer Science Misrimal Navajee Munoth Jain Engineering College Chennai India Department of Information Technology Chaitanya Bharathi Institute of Technology Hyderabad India Department of Computer science and Engineering Sri Sai Ram Engineering College Chennai India

Each nation's economic sector depends heavily on agriculture. Every day, more people live on the planet, which raises the requirement of food. For the time being, farmers' conventional methods are unable to meet the demand. As a result, new automation techniques are launched to meet these needs and give many people in this industry excellent job prospects. in every industry, including banking, robotics, agriculture, and education, artificial intelligence(Ai) has emerged as one of the most crucial technologies. it is playing a very important part in the agriculture sector and changing the agriculture industry. Ai protects the agricultural sector from a variety of concerns, including food safety, population expansion, climate change, and employment problems in this industry. Due to Ai, the agriculture system of today has advanced to a new level. Real-time crop monitoring, production, harvesting, processing, and marketing have all been enhanced by artificial intelligence. Numerous cutting-edge computer-based systems are created to identify several significant factors, including weed identification, yield identification, crop quality, and many others.

关键词： service robots sociology Crops training data Agriculture Real-time systems safety

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An implementation of Robust User Authentication technique for Big Data Platform 3rd

An Implementation of Robust User Authentication Technique fo...

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3rd international Conference on Advances in Cyber security, ACes 2021

作者： AL-Rummana, Galal A. Al-Ahdal, Abdulrazzaq H. A. shinde, G.N. School of Computational Sciences S.R.T.M. University Nanded India Computer Science and Engineering Hodeidah University Al Hudaydah Yemen Yeshwant College S.R.T.M. University Nanded India

ISBN: (纸本)9789811680588

Hadoop framework has been developed to manage Big Data on the Cloud. the main components of this framework are MapReduce and Hadoop Distributed File system (HDFs), but Hadoop does not provide any mechanism for robust authentication. the existing authentication protocols are vulnerable to many security threats. therefore, we suggest an authentication model based on "inverse Hyperbolic Functions" in this paper. this model is followed by a mechanism that verifies the identity of the user and determines whether the user is permitted for access or not. the security study takes into account both functionality and security needs. Furthermore, (AVisPA) is used to verify the proposed system. Finally, the suggested scheme defends against a variety of attacks, including replay, MitM, DOs, password guessing, insider attack, and phishing. © 2021, springer Nature singapore Pte Ltd.

关键词： Big data

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speed and torque Optimization of Motor Drive through intelligent Control Approaches

Speed and Torque Optimization of Motor Drive Through Intelli...

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Automation and Computation (AUtOCOM), international Conference on

作者： Hanumaji Kantari M. Vadivel Pavithra Jagadeesan t. J. Nagalakshmi B. Meenakshi s. Velmurugan Department of Electrical and Electronics Engineering Malla Reddy Institute of Engineering and Technology Hyderabad Telangana India Department of Electronics and Communication Engineering Vidya Jyothi Institute of Technology Hyderabad Telangana India Department of Computer Science and Engineering Vels Institute of Science Technology & Advanced Studies (VISTAS) Chennai Tamil Nadu India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Sri Sairam Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering T.J.S. Engineering College Chennai Tamil Nadu India

the need for better control approaches in Permanent Magnet synchronous Motors (PMsMs) has increased due to the increased usage of electric motors in many different areas. the unique characteristics of PMsM motors make it difficult to use conventional control techniques to dynamically adjust speed and torque. this research proposes a novel approach to real-time speed and torque optimization of PMsM motor drives by integrating sliding Mode Control (sMC) in Reinforcement Learning (RL). this could alleviate these issues. this study introduces a dual-mode control approach for permanent magnet synchronous motors (PMsM) that leverages the robustness of sMC and the flexibility of RL. in order to improve the PMsM motor drive’s overall efficiency, a synergistic effect is achieved by creating an RL-based Maximum torque and speed tracking (Mtst) algorithm. incorporating sMC ensures precise and stable control of speed and torque. Results from both theoretical and practical investigations using a PMsM motor operating system model in Matlab/simulink validate the proposed method. the results reveal improved control over speed and torque, proving the efficacy and adaptability of the proposed method for PMsM actuators to function in different environments.

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Qurzon: A Prototype for a Divide and Conquer-Based Quantum Compiler for Distributed Quantum systems

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sN computer science 2022年第4期3卷 323页

作者： Chatterjee, turbasu Das, Arnav Mohtashim, shah ishmam saha, Amit Chakrabarti, Amlan Department of Computer Science and Engineering Calcutta Institute of Engineering and Management Maulana Abul Kalam Azad University of Technology Chandi Ghosh Road West Bengal Kolkata 700040 India A.K. Choudhury School of I.T. University of Calcutta Technology Campus West Bengal Kolkata 700106 India Department of Computer Science B.B. College Kazi Nazrul University G.T. Road Ushagram West Bengal Asansol 713303 India Department of Chemistry University of Dhaka Dhaka 1000 Bangladesh Quantum Computing Lab Atos Maharashtra Pune India

When working with algorithms on quantum devices, quantum memory becomes a crucial bottleneck due to low qubit count in NisQ-era devices. in this context, the concept of ‘divide and compute’, wherein a quantum circuit is broken into several subcircuits and executed separately, while stitching the results of the circuits via classical post-processing, becomes a viable option, especially in NisQ-era devices. this paper introduces Qurzon, a proposed novel quantum compiler that incorporates the marriage of techniques of divide and compute with the state-of-the-art algorithms of optimal qubit placement for executing on real quantum devices. A scheduling algorithm is also introduced within the compiler that can explore the power of distributed quantum computing while paving the way for quantum parallelism for large algorithms. several benchmark circuits have been executed using the compiler, thereby demonstrating the power of the divide and compute when working with real NisQ-era quantum devices. © 2022, the Author(s), under exclusive licence to springer Nature singapore Pte Ltd.

关键词： Compilers Conquer Distributed systems Divide Quantum computing

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improving Mall traffic Flow with iot and Reinforcement Learning techniques in Footfall Analytics

Improving Mall Traffic Flow with IoT and Reinforcement Learn...

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2025 international Conference on Visual Analytics and Data Visualization, iCVADV 2025

作者： Muthumarilakshmi, s. sairam, A. Mohankumar, N. Hemalatha, D. Velmurugan, s. Ganeshbabu, t.R. Chennai Institute of Technology Department of Cse Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India Nagpur Campus Pune India Chennai Institute of Technology Department of Artificial Intelligence & Data Science Chennai India T.J.S. Engineering College Department of Electronics and Communication Engineering Tamil Nadu India Department of Electronics and Communication Tamil Nadu India

ISBN: (纸本)9798331521394

An innovative method for improving mall traffic flow utilizing iot devices and reinforcement learning (RL) methods in footfall analytics is presented. inefficiencies, congestion, and less-than-ideal consumer experiences are common outcomes of the conventional wisdom about managing mall foot traffic. Our proposed system uses internet of things (iot) sensors to track shoppers' flow and density in real time. this data is then input into an RL model to optimize and predict traffic flow patterns. Aiming to enhance the shopping experience and distribute foot traffic more equitably, the system automatically adjusts parameters, including digital signage, escalator functioning, and store promotions. simulation and pilot deployment results show substantial improvement in lowering congestion and boosting mall visitors' time spent there. By integrating iot with powerful machine learning (ML) algorithms, this integrated technique demonstrates how smarter and more responsive retail environments may be created. iot and RL improves mall traffic flow by analyzing footfall trends, optimizing routing, mitigating congestion, and enhancing customer experience. © 2025 iEEE.

关键词： Reinforcement learning

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A Detailed Review on Challenges in the Computational Frameworks in Building 6G for Healthcare system

A Detailed Review on Challenges in the Computational Framewo...

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Advance Computing and innovative technologies in engineering (iCACitE), international Conference on

作者： M shalini Rupesh sharma M. Bhuvaneswari Arti Badhoutiya M Madan Mohan s P V subba Rao Department of Electronics and Communication Engineering (ECE) Prince Shri Venkateshwara Padmavathy Engineering College TN Department of Electronics & Communication Engineering (ECE) IES Institute of Technology and Management IES University Bhopal M.P India Department of Biomedical Engineering (BME) Karpagam Academy of Higher Education Coimbatore Department of Electrical Engineering (EE) GLA University Mathura Department of Computer science and Engineering (C S & E) Nehru Institute of Engineering and Technology T.M.Palayam Tamil Nadu India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and Technology Hyderabad

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

in the modern age of sixth-generation (6G) connections, the merging of the intellect internet of issues (iiot) plays a crucial part in improving storage and processing of data powers. the core goal of 6 G is to provide extremely small delay, high speed, and improved quality of service so as to enable smooth contact among network points. Within the medical industry, it is important to fit all facilities at state-ofthe-art technology to allow clever diagnoses, patient-centric therapies, and a range of healthcare services, outside the confines of a medical facility and online. to ensure the health care sector’s readiness and flexibility to cutting-edge technology, giving varied uses from robotic treatments to remote patient tracking via portable technologies in Active Adaptive Living (AAL) environments is important. the intelligent connecting platform serves as the backbone, managing various networking hubs and input devices to offer time-sensitive healthcare services. this paper presents a new reference layered communication system designed for realtime conversation among nodes and devices. By studying the future aspects of the 6 G system, the paper shows its potential uses in healthcare, hoping to improve treatment effectiveness and smartly combine services. the suggested structure attempts to build a strong basis for the changing world of healthcare apps in the framework of 6 G technology.

关键词： 6G mobile communication industries technological innovation Wireless networks Merging Virtual environments Medical services

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Performance Analysis of Photonics in Wireless Applications

Performance Analysis of Photonics in Wireless Applications

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international conference of Electronics, Communication and Aerospace technology (iCECA)

作者： G. Deepika N.K Anushkannan Manikannan Palanivel shiv Ashish Dhondiya s suvitha s. Ramesh Department of Electronics and Communication Engineering. St. Peter's Engineering College Hyderabad Telangana India Department of Electronics and Communication Engineering Kathir College of Engineering Coimbatore Tamil Nadu India Department of Electrical and Electronics Engineering A.K.T Memorial college of Engineering Kallakurichi Tamil Nadu India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Department of Electronics and Communication Engineering S.A. Engineering College Chennai Tamil Nadu India Department of Computational Intelligence Institute of Artificial Intelligence and Machine Learning Saveetha University Chennai Tamil Nadu

the advent of cutting-edge networking technologies like 5G and the internet of things portends well for the launch of innovative, data-intensive applications and services in the not too distant future. to employ these strategies, performance measurements must be quantified. Optical waveguide technology (OWC) has the potential to be a major enabling technology for high data-rate communications, with throughputs of up to tbps. Light cannot propagate above or below the ocean's surface due to turbulence, which is caused by variations in the atmosphere's temperature and pressure, variations in the water's temperature and salinity, and motions of the sea in the marine medium. Other factors that impede light propagation include pointing error from transceiver movement and optical path-loss from scattering and absorption phenomena. Free-space optics (FsO) and underwater optical wireless communication (UOWC) are two examples. On the other hand, the potential application of RF energy harvesting (EH) to create self-sufficient devices and extend node battery life has garnered significant attention. Even while RF and FsO wireless communication systems have been the subject of extensive performance studies in the literature, it may still be difficult to determine their analytical performance requirements for specific setups and schemes. Research on UOWC system performance in the presence of turbulence and path-loss impairments is currently one of the most sought-after areas of study. We provided a numerical approach to compute the UOWC path-loss, which can be utilised to find the UOWC system's bit error rate and received power..

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Enhanced traffic Prediction for smart Cities through iot using Optimized Continual spatio-temporal Graph Convolutional Network

Enhanced Traffic Prediction for Smart Cities through IoT usi...

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international Conference on iCt in Business industry & Government (iCtBiG)

作者： Kamineni B t sundari K. Ganesan shekaina Justin Nagendar Yamsani R Maranan M. Ramya Department of Computer Science Engineering -Cyber Security Geetanjali College of Engineering and Technology Medchal District T.S VIT School of Law VIT Chennai Chennai Tamil Nadu Department of Electrical Engineering Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia School of Computer Science & Artificial Intelligence SR University Warangal Telangana Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Division of Research and Development Lovely Professional University Phagwara Punjab India

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

in many cities, traffic congestion has a negative impact on sustainability since it increases air pollution. Effective smart traffic management can help users avoid congested areas, thus reducing pollutant levels. it is complex and dynamic in nature that is why traffic propagation forecasting is not perfectly accurate due to the existence of numerous interactions involved in traffic flow complexity., decision makers have large datasets, whose utilisation helps in designing brilliant, sustainable transport solutions. in order to address with these challenges, the following novel framework is developed namely Enhanced traffic Prediction for smart Cities through iot using Optimized Continual spatio-temporal Graph Convolutional Network (CstGCN-BtGO). in this work, the author has presented the traffic propagation model based on the traffic data of Buxton, UK. the feature extracted includes time, date, length, speed, flow, and headway of the traffic video which was accomplished using Differential synchro-squeezing Wavelet transform (DsWt). these features were then fed into a Continual spatio-temporal Graph Convolutional Network (CstGCN) for traffic propagation over the road network forecasting. this model will simulate traffic in a particularly busy municipality for a 5-minute interval by employing data whose source will be traffic sensors positioned at two terminals, they are vehicle speed data terminals. to improve the predictive accuracy of the above-mentioned approach, Banyan tree Growth Optimization (BtGO) was incorporated into CstGCN. two error measure tools called accuracy and mean squared error were the two tools used to evaluate the suggested CstGCN-BtGO method. Outcome indicates that CstGCN-BtGO model has acquired approximately sixteen percent improvement than the baseline model. 53% increase in accuracy than existing methods such congestion prediction using LstM-iOt, traffic control using Deep sORt-iOt and traffic accident prediction using CNN-iOt.

关键词： Wavelet transforms Accuracy Graph convolutional networks smart cities Roads Predictive models Feature extraction Data models Forecasting Optimization

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A Distributed Data Mining and Cloud Analysis for Predictive Gas Level, Dynamic Booking, and smart Energy Optimization

A Distributed Data Mining and Cloud Analysis for Predictive ...

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Advances in Data engineering and intelligent Computing systems (ADiCs), international Conference on

作者： D. sugumar R. Ramadevi J. Prasad N. Mohankumar D.C. Joy Winnie Wise s. Velmurugan Department of Commerce Care College of Arts and Science Trichy Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical And Technical Sciences Saveetha University Saveetha Nagar Chennai Tamil Nadu India Department of Electronics and Communication Engineering KPR Institute of Engineering and Technology Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering B.V. Raju Institute of Technology Telangana India Department of Computer Science and Engineering Rajalakshmi Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering T.J.S. Engineering College Chennai Tamil Nadu India

ISBN: (数字)9798350364828

ISBN: (纸本)9798350364835

the state-of-the-art internet of things (iot) innovation known as the Autonomous Gas Reservoir Management system (AGaRMs) totally changes the most common way of overseeing gas supplies. AGaRMs uses sensors that monitor gas levels and a distributed architecture that forecasts patterns in gas use to ensure that gas refills occur at the right time. Complex Ai calculations examine verifiable information, current weather patterns, and usage patterns to estimate when gas will run out. this, then, prompts robotized booking sales to be transported off the supplier. Likewise, AGaRMs appeals to the savvy progression of energy, which empowers strong gas usage. the framework's flexibility and versatility make it reasonable for use in private and business settings, further developing production network productivity, reducing working expenses, and improving the client experience. the AGaRMs system offers a smart method for managing gas leaders that work with gathering effective power energy practices and streamlining gas provisioning processes. AGaRMs optimizes the gas supply chain and improves the user experience by catering to a wide range of residential and industrial applications with its flexible and scalable design.

关键词： supply chains Weather forecasting Reservoirs Aerodynamics User experience internet of things Predictive analytics

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the analysis and effect of Kotlin programming language in modern software development

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AiP Conference Proceedings 2024年第1期3214卷

作者： Ujjawal Kothari Rahul Choudhary sanskar shrivastava Vishal shrivastava Akhil Pandey sangeeta sharma Department of Computer Science & Engineering Arya College of Engineering & I.T. Jaipur India

this study explores Kotlin, a programming language introduced by Jet Brains in 2011, known for its user-friendly nature. initially designed to tackle challenges in Android app development, Kotlin has grown to be compatible with Android, iPhone, web, and desktop systems. the paper examines Kotlin’s distinct features, its prominence in Android development, and its endorsement by Google in ***’s strengths lie in its emphasis on safety, compatibility with Java, and robust tool support. these aspects have positioned Kotlin as the second most popular language for Android development, following Java. the research traces Kotlin’s evolution, emphasizing its open-source framework and widespread adoption across *** features of Kotlin, such as seamless Java interoperability, lazy-loading, and the introduction of data classes, are outlined. the paper underscores how these features enhance Kotlin’s efficiency, making it appealing to developers. Real-world applications across diverse sectors, including Android app development, web development, finance, gaming, education technology, and the creation of software development tools and libraries, showcase Kotlin’s versatility.A notable part of the study explores Kotlin’s foray into functional programming, involving functions treated as values, high- order functions, encouragement of immutability, use of lambdas, and adoption of functional concepts. the paper concludes by highlighting Kotlin’s potential to redefine Android programming, making it more accessible and enjoyable for *** the rapidly evolving field of software development, Kotlin emerges as an exciting and user-friendly option, particularly for those familiar with Java. the research encourages developers to explore Kotlin, emphasizing its time-saving capabilities and its potential to simplify code management. As Kotlin continues to gain traction, this research positions it as a language of choice, offering a blend of versatility, simplicity, and

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