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2024 International Conference on Advances in Data engineering and Intelligent Computing systems, ADICs 2024

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

ISBN: (纸本)9798350364828

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. © 2024 IEEE.

关键词： Internet of things

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ILAPP: An Efficient Design of sign Language Recognition system using Intelligent Learning Assisted Prediction Principles

ILAPP: An Efficient Design of Sign Language Recognition Syst...

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2023 International Conference on Innovative Computing, Intelligent Communication and smart Electrical systems, ICsEs 2023

作者： Radha, K. Harikrishnan, R. Niresh Kumar, s. Hubert Mary, L. Rajendran, N. Dr.Mahalingam College of Engineering and Technology Department of CSE Coimbatore Pollachi India S.A. Engineering College Department of ECE Chennai India St. Joseph's College of Engineering Department of Computer Science and Engineering Chennai India Jeppiaar Institute of Technology Department of ECE Chennai India B.S. AbdurRahman Crescent Institute of Science and Technology Department of Information Technology Chennai Vandalur India

ISBN: (纸本)9798350319200

In this study, we introduce ILAPP (Intelligent Learning Assisted Prediction Principles), an innovative design for a sign Language Recognition system. ILAPP harnesses the power of Convolutional Neural Networks (CNN) for efficient feature extraction and employs the renowned LeNet-5 Model for robust classification. sign language recognition is a critical technology that bridges communication gaps for individuals with hearing impairments. Our system, ILAPP, offers an efficient and effective solution to this challenge. The core of ILAPP lies in its utilization of CNNs to extract essential features from sign language images, capturing intricate patterns and nuances crucial for accurate classification. The LeNet-5 Model is employed for classification, benefiting from its proven capabilities in image recognition tasks. Our research focuses on enhancing the accuracy and efficiency of sign language recognition, aiming to provide a practical tool for the deaf and hard-of-hearing community. ILAPP represents a significant advancement in this field, and its promising results underscore its potential for real-world applications. This study showcases the fusion of intelligent learning principles with state-of-the-art models, highlighting the importance of leveraging AI in addressing accessibility and communication *** our study, the proposed model demonstrates an impressive accuracy rate of 98.23% when compared to existing models. This high accuracy rate signifies the exceptional performance and effectiveness of our model in sign language recognition. © 2023 IEEE.

关键词： Convolutional Neural Networks (CNN) Intelligent Learning Assisted Prediction Principles

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NEORs - Novel Efficient and Optimal Resource scheduling Technique for Cloud Infrastructure services 1

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3rd International Conference on Internet of Things, ICIoT 2022

作者： Ziyath, s. Peer Mohamed senthilkumar, s. Rajkumar, R. Kumar, C. M. Arun Department of Computer Applications B.S. Abdur Rahman Crescent Institute of Science and Technology Chennai India CSE University College of Engineering Pattukkottai India DSBS SRM Institute of Science and Technology Chennai India ECE University College of Engineering Pattukkottai India

ISBN: (数字)9783031284755

ISBN: (纸本)9783031284748

The cloud computing technique is a combination of web services and virtualization technology. Cloud gives dynamism, vulnerability and versatility based administrations to clients in pay-more only as costs arise style over the web. For virtualized record participation in cloud foundation, distributed computing employs booking and burden adjusting. These two things must be done in an advanced way in a distributed computing environment to get the best use of resources. In late decade, increment in demands (various and complex applications) for cloud administrations is bringing the remaining task at hand up in cloud condition. The purpose of this research work is to develop a technique which could handle the dynamic nature of the attributes of the submitted tasks. In this connection, NEORs technique is proposed. The proposed technique consists of two sub algorithms for handling dynamic user attribute request and dynamic attribute values during the execution of tasks. simulations were led to assess the viability utilizing Cloudsim test system in cloud server farms and results represents that this implementation achiev.s.better execution as far as resource allocation efficiency, average rate, task allocation and task completion time than the existing strategies. © 2023, The Author(s), under exclusive license to springer Nature switzerland AG.

关键词： virtualization

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solar-Powered smart Wheelchair with voice Controller for Physically Challenged People

Solar-Powered Smart Wheelchair with Voice Controller for Phy...

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), International Conference on

作者： M. Karthik G. Hemalatha L. sreevidya R. Deepalakshmi K Premalatha Department of Electrical and Electronics Engineering SRM Madurai College for Engineering and Technology Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India Department of Electrical and Electronics Engineering V.S.B College of Engineering Technical Campus Coimbatore Tamil Nadu India Department of Computer Science Engineering SRM Madurai College for Engineering and Technology Tamil Nadu India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

It is challenging for those with strong mental faculties but physical disabilities to get around in a conventional hand-powered wheelchair. This project will enable any existing wheelchair to have an inexpensive assembly that enables a smart motion automation system that can be controlled by speech recognition on a smartphone. Continuous operation is guaranteed by the dual-charging system, which also offers longer mobility without the need for frequent recharging and independence from external power outlets. This enables users to adjust to varying conditions by depending on solar power during the day and switching to battery charging when solar energy is scarce. The main concept is a smartphone with built-in bluetooth connectivity and the Android operating *** the distribution of the application we have developed, the goal of our project may be extended to other mobile devices that run Android software. The second main component of our system design is the microprocessor, which drives the wheelchair's dc motor in different directions. The wheelchair may now travel in a variety of directions thanks to this. The suggested model operates autonomously and on its own.

关键词： Automation Gears Navigation Wheelchairs Operating systems Wheels solar energy DC motors Mobile handsets Telecommunication computing

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Detecting Image-based Fake News with Neural sleuths 5th

Detecting Image-Based Fake News with Neural Sleuths

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5th International Conference on Artificial Intelligence and speech Technology, AIsT 2023

作者： Rathod, Nachiket Ramteke, Prabhakar Department of Computer Science and Engineering H.V.P. Mandal’s College of Engineering and Technology Maharashtra Amaravati India

ISBN: (纸本)9783031751660

In the period of extensive social media use, unconventional formats for news sharing often lack reliability, with misleading information disseminated through graphics emerging as a unique tactic. While the verification of the authenticity of news is a broad research domain, scholars have mainly focused on textual data. The misleading information detection model described in this paper uses neural sleuth-based networks to capture image data from the freely accessible Fakeddit dataset. The results are scrutinized using a confusion matrix, and a comprehensive evaluation of the model's performance metrics is conducted across six categories: "true," "satire," "false connection," "imposter content," "manipulated content," and "misleading content." This work contributes an inclusive analysis of the model's effectiveness as a problem posed by misleading information on social media. © The Author(s), under exclusive license to springer Nature switzerland AG 2025.

关键词： Convolution Deep Network Image Fake News Neural Network

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Human Activity Recognition Using LRCN

Human Activity Recognition Using LRCN

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2022 IEEE North Karnataka subsection Flagship International Conference, NKCon 2022

作者： Dewar, santosh Kumar s Pallavi Hiremath, Anand Patil, sahebgouda Mahendrakar, Pavan BLDEA's V.P.Dr.P.G.Halakatti College of Engineering and Technology Department of Computer Science and Engineering Vijayapur586103 India

ISBN: (纸本)9781665453424

Using the capabilities LRCN it obtained to increase the multimedia, recognize human movement in videos. HAR is a one ongoing research field. On various benchmark datasets, new records have been established using video as a series of frames. Convolutional neural networks (CNN) and long short-term memories were proposed in this (LsTM). CNN network is applied to get feature vectors for each videos and LsTM network is use to classify the videos. standard activities contains many activities horse racing, taichi, walking with dog, basketball, swing, etc. In this proposed system we have achieved 99.5% of Accuracy. © 2022 IEEE.

关键词： Long short-term memory

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Machine Learning: Image Authentication based using 3-Level security system 2

Machine Learning: Image Authentication Based using 3-Level S...

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2nd International Conference on Advancements in smart, secure and Intelligent Computing, AssIC 2024

作者： Kiran, Ajmeera Naik, s.K. Lokesh Kamesh, D.b.K. Rathula, srinivas Mohanty, Jnyana Ranjan Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad Dundigal India Malla Reddy Engineering College for Women Department of Cse India B.V. Raju Institute of Technology Department of Information Technology Narsapur India Kalinga Institute of Industrial Technology University India

ISBN: (纸本)9798350370188

Users using computers need passwords in order to be authenticated. There are many unsuccessful ways of identification. voice recognition makes use of both physical and behavioural characteristics, in contrast to written and graphical passwords, which rely on knowledge. behaviour and looks are taken into consideration in voice recognition. These methods are unsecure and simplify the process of stealing data. Passwords used by users are trivial to decipher. We require solutions that are less complicated and risky. Users with a Level 3 subscription get an email with a one-time password. In addition to their password for Level 2 authentication. IbA's unique photographic offerings because of technology, customer shoulder, rage, and force attacks have been eliminated. Web applications are protected from unauthorised access, they are easier to use, and they are secured by the three-tiered security system. The user is responsible for maintaining the system's confidentiality while using it. © 2024 IEEE.

关键词： security systems

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Topic Controlled steganography via Graph-to-Text Generation

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computer Modeling in engineering & sciences 2023年第7期136卷 157-176页

作者： bowen sun Yamin Li Jun Zhang Honghong Xu Xiaoqiang Ma Ping Xia School of Computer Science and Information Engineering Hubei UniversityWuhan430062China Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang443002China Yichang Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang443002China Department of CSIS Douglas CollegeNewWestminsterBCV3L 5B2Canada College of Computer and Information Technology China Three Gorges UniversityYichang443002China

Generation-based linguistic steganography is a popular research area of information *** text generative steganographic method based on conditional probability coding is the direction that researchers have recently paid attention ***,in the course of our experiment,we found that the secret information hiding in the text tends to destroy the statistical distribution characteristics of the original text,which indicates that this method has the problem of the obvious reduction of text quality when the embedding rate increases,and that the topic of generated texts is uncontrollable,so there is still room for improvement in *** this paper,we propose a topic-controlled steganography method which is guided by graph-to-text *** proposed model can automatically generate steganographic texts carrying secret messages from knowledge graphs,and the topic of the generated texts is *** also provide a graph path coding method with corresponding detailed algorithms for graph-to-text *** from traditional linguistic steganography methods,we encode the secret information during graph path coding rather than using conditional *** test our method in different aspects and compare it with other text generative steganographic *** experimental results show that the model proposed in this paper can effectively improve the quality of the generated text and significantly improve the concealment of steganographic text.

关键词： Information hiding linguistic steganography knowledge graph topic controlled text generation

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smart swimming Pool Management system (ssPMs) using IoT

Smart Swimming Pool Management System (SSPMS) using IoT

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Innovative Data Communication Technologies and Application (ICIDCA), International Conference on

作者： A. sangeetha R. santhana Krishnan G. Praveen Kumar E. Golden Julie R. Karthik Ganesh Y. Harold Robinson Department of Information Technology PSNA College of Engineering and Technology Dindigul India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Tirunelveli India Department of Information Technology V.S.B Engineering College Karur India Department of Computer Science and Engineering Anna University Regional Campus Tirunelveli India Department of Computer Science and Engineering SCAD College of Engineering and Technology Tirunelveli India Department of Computer Science and Engineering Francis Xavier Engineering College Tirunelveli India

swimming has become one of the major routines nowadays among people. People mostly use swimming pools for exercise or recreation. According to statistics one hour of swimming burns 30% more calories than one hour of running. so many people prefer swimming to keep their body fit. but few people use the swimming pool without having proper swimming skills. This leads to loss of their lives. Around the world nearly 42 people drown per hour. The pH level of water in the swimming pool should be between 7.4 to 7.6. The high pH water can cause rashes on human skin and scaling on pool equipment. Low pH causes eye irritation, skin irritation etc. Hence, a smart system is required to monitor the pH level of the water and to track the condition of the swimmers inside the pool. so with the support of few sensors and Arduino, an automatic swimming pool monitoring system, which is capable of sensing the pH level of the water available in swimming pool and condition of the swimmers is developed. The proposed system will also update all the observed status in the cloud with the support of the Internet facility.

关键词： Cloud computing skin sensor systems Data communication Monitoring Intelligent sensors sports

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Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation

Overcoming LLM Challenges using RAG-Driven Precision in Coff...

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Emerging Technologies in computer science for Interdisciplinary Applications (ICETCs), International Conference on

作者： s selva Kumar Afifah Khan Mohammed Ajmal Khan Imadh Ajaz banday Manikantha Gada vibha venkatesh shanbhag Department of Computer Science and Engineering B. M. S. College of Engineering Bangalore India

ISBN: (数字)9798350372502

ISBN: (纸本)9798350372519

This research introduces an innovative AI-driven precision agriculture system, leveraging YOLOv8 for disease identification and Retrieval Augmented Generation (RAG) for context-aware diagnosis. Focused on addressing the challenges of diseases affecting the coffee production sector in Karnataka, The system integrates sophisticated object detection techniques with language models to address the inherent constraints associated with Large Language Models (LLMs). Our methodology not only tackles the issue of hallucinations in LLMs, but also introduces dynamic disease identification and remediation strategies. Real-time monitoring, collaborative dataset expansion, and organizational involvement ensure the system’s adaptability in diverse agricultural settings. The effect of the suggested system extends beyond automation, aiming to secure food supplies, protect livelihoods, and promote eco-friendly farming practices. by facilitating precise disease identification, the system contributes to sustainable and environmentally conscious agriculture, reducing reliance on pesticides. Looking to the future, the project envisions continuous development in RAG-integrated object detection systems, emphasizing scalability, reliability, and usability. This research strives to be a beacon for positive change in agriculture, aligning with global efforts toward sustainable and technologically enhanced food production.

关键词： scalability Government Production Object detection Pesticides Reliability engineering Real-time systems

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