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Author Archives: Kajal Tripathi

Analyzing the Loss of Sound Transmission for a Rectangular Cross Section Muffler with a Different Aspect Ratio in Same Gas Volume

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Analyzing the Loss of Sound Transmission for a Rectangular Cross Section Muffler with a Different Aspect Ratio in Same Gas Volume/strong>
Authors:-Associate Professor Amit Kumar Gupta

Abstract-The measurement of the acoustical transmission loss of an expansion chamber muffler with a rectangular cross section and different cross section aspect ratios is presented in the study. An essential component of noise management for reducing noise from gas flow sources, such as machinery exhaust, is a muffler, also known as a silencer. As a component of an internal combustion engine’s exhaust system, mufflers are usually placed along the exhaust pipe to lessen noise. One-dimensional waves are utilized as simulation tools.

DOI: 10.61137/ijsret.vol.10.issue6.415

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Intelligent Baby Monitoring System Using Raspberry Pi and Sensors

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Intelligent Baby Monitoring System Using Raspberry Pi and Sensors/strong>
Authors:-Sankalp shant, Shreelekha K, Siri Vennela KS, Tanya Raj, Dr .Nirmala S

Abstract-With the increased demand for advanced childcare solutions, the development of an intelligent and reliable baby monitoring system using the versatile Raspberry Pi has been encouraged. This project is focused on creating a comprehensive monitoring solution that prioritizes the safety and well-being of infants through the integration of sophisticated audio monitoring and environmental sensing capabilities using various sensors. This new system utilizes the central processing unit Raspberry Pi 4 Model B and interfaces nicely with high-quality microphone capability to pick up sound; it comes equipped with environmental sensors capable of monitoring essential conditions in temperature and humidity. The functionalities are advanced and include motion detection, which notifies caregivers upon any baby movement, while cry detection informs caregivers of a crying baby within seconds of its cry. A two-way audio system that connects caregivers with their children can converse and communicate with the baby real-time, providing yet another level of interaction and comfort. The application will be designed so that parents or guardians, through a mobile application, can have instant alerts when their baby’s condition arises from virtually any location. This system was designed to be cost-effective and easy to set up; it can be highly scaled to meet the needs of the users. There is always an integration for push notifications via mobile devices. By incorporating these advanced features and focusing on user-friendly design, this baby monitoring system represents a significant advancement in the realm of smart parenting tools, addressing the critical need for reliable and intelligent childcare solutions in contemporary households.

DOI: 10.61137/ijsret.vol.10.issue6.414

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Role of Data Mining and AI on Human Health

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Role of Data Mining and AI on Human Health/strong>
Authors:-Dharmendra Kumar Nagrani, MR.B.L.Pal

Abstract-Data Mining and AI are revolutionize the medical field by providing enhanced understanding of disease trends, increasing accuracy in diagnosis, and driving the development of tailored healthcare solutions. This document investigate into how data mining and Artificial intelligence methodologies influence various dimensions of human health, with an emphasis on predictive analytics, diagnostic imaging, real time health tracking, and customized treatment options. Techniques in data analytics, including categorization, grouping, and rule based mining, are utilized on extensive data sets, assisting healthcare professionals in making informed data centric choices for disease prevention and management. AI techniques, featuring ML and deep learning frameworks , significantly improves diagnoses, particularly within medical Imaging, where these models showcase remarkable accuracy in detecting diseases at early stages. In addition, wearable technology and mobile health platforms offer continuous data for ongoing health assessment, facilitating timely medical interventions. Nonetheless, applying data mining and AI in healthcare, introduces challenges, especially concerning data privacy, interpretability of models and ethical issues. This research addresses these hurdles and proposes strategies to bolster data protection, enhance model clarity, Forster patient confidence. With ongoing progress and mindful applications, data mining and Artificial intelligence present considerable potential for enhancing health outcomes, supporting preventive measures and leading to individualized and precision medicines.

DOI: 10.61137/ijsret.vol.10.issue6.413

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AI-Based Framework for Predicting Quantum State Transitions in Topologically Protected Material

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AI-Based Framework for Predicting Quantum State Transitions in Topologically Protected Material/strong>
Authors:-Soundhariya Ravi, Associate Professor Dr S R Raja

Abstract-Quantum state transitions in topologically protected materials have garnered significant attention for their potential applications in quantum computing, spintronics, and material science. Predicting these transitions under varying external conditions remains a challenge due to the intricate interplay of quantum effects and topological invariants. This study proposes an AI-based framework that leverages deep learning techniques to predict quantum state transitions in such materials with high precision. The framework utilizes a custom neural network architecture trained on data derived from simulations and experimental results. By incorporating topological invariants and environmental variables as features, the model accurately predicts phase transitions and provides insights into the factors driving them. The results demonstrate over 95% prediction accuracy, outperforming traditional simulation methods in terms of computational efficiency and scalability. This work lays the foundation for integrating AI into quantum materials research, offering tools for designing next- generation quantum devices.

DOI: 10.61137/ijsret.vol.10.issue6.412

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Revolutionizing Neonatal Care: The Role of Embrace Innovations in Addressing Infant Mortality in Resource-Constrained Settings

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Revolutionizing Neonatal Care: The Role of Embrace Innovations in Addressing Infant Mortality in Resource-Constrained Settings/strong>
Authors:-Ashish Pattnaik, Rishika Patwari, Rishi Kumar Karnani, Aayushman Joshi

Abstract-This paper explores the innovative business model of Embrace Innovations, a social enterprise committed to tackling the critical issue of infant mortality in resource-constrained settings, especially in India. Founded with the mission of offering affordable and effective infant care solutions, Embrace has developed the Embrace Infant Warmer as a cost-effective alternative to traditional incubators. In analysing the operational strategies, market dynamics, and impact of Embrace’s products on neonatal health outcomes, the study uses a mixed-method approach through applying qualitative and quantitative research methods. Conducting in-depth interviews and surveys with relevant stakeholders which lead to important discoveries about how Embrace was able to effectively penetrate these markets through its unique value proposition: affordability, portability, and user-friendliness. The paper discusses the challenges of the organization, such as high maintenance costs and regulatory compliance issues. Ultimately, this research would highlight the potential for Embrace Innovations to transform infant healthcare through continuous innovation and strategic partnerships, thereby contributing significantly to reducing infant mortality rates globally.

DOI: 10.61137/ijsret.vol.10.issue6.411

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A Robust and Secure Image Watermarking Technique for Digital Data: State-of-the-Art

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A Robust and Secure Image Watermarking Technique for Digital Data: State-of-the-Art/strong>
Authors:-Bhupendra Kumar Bhardwaj, Professor Dr. Satya Singh

Abstract-With the fast development of computer technology, research in the fields of multimedia (text, image, audio and video clip) security, image processing and robot vision have recently become popular. Digital image watermarking techniques is one of the best techniques for image authentication. Watermarking algorithms are designed to embed and extract digital watermarks within digital content, such as images, audio, or video. The basic objective of the watermarking technique is to enhance imperceptibility, capacity and robustness. When developing an effective watermark method, it’s necessary to have a highly balanced trade-off between imperceptibility, capacity, and robustness. In this paper we presence about watermarking system, requirements for digital image watermarking, challenging issue of watermarking, application of watermarking, importance of watermarking, image watermarking classification, various watermarking techniques, attacks on watermarking process, performance measure for evaluating the image quality using metrics and a short view of watermarking tools. The work gives a view on various watermarking schemes in digital images that give new ideas to improve the already existing techniques.

DOI: 10.61137/ijsret.vol.10.issue6.410

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Data Narratives Using AI: A Framework for Automated Insight Storytelling

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Data Narratives Using AI: A Framework for Automated Insight Storytelling/strong>
Authors:-Soundhar B, Associate Professor Dr S R Raja

Abstract-In today’s data-driven world, organizations are faced with an ever-growing volume of raw data that often requires sophisticated analysis to extract meaningful insights. However, the complexity of these insights can make it difficult for decision-makers, especially non-experts, to understand and act on the information. This paper proposes a novel framework that leverages Artificial Intelligence (AI) to automatically generate data narratives, transforming raw data into human-readable insights. The framework integrates data preprocessing, advanced AI techniques, and natural language processing (NLP) models to construct compelling and insightful narratives. We present a detailed methodology, including the use of clustering, trend analysis, and regression models to extract key insights from diverse data sources. The generated narratives are tested on multiple datasets, demonstrating their effectiveness in conveying actionable insights in an easily understandable format. Our results show that AI-generated data stories not only provide clarity and context but also enhance decision-making processes across various industries. Future work will focus on enhancing the framework’s adaptability to real-time data and improving narrative customization for different stakeholders.

DOI: 10.61137/ijsret.vol.10.issue6.409

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AI Enabled Digital Media Versus Print media

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AI Enabled Digital Media Versus Print media/strong>
Authors:-Research Scholar Seethal George, Dr. Prachi Chathurvedhi

Abstract-The introduction of artificial intelligence ultimately changing the media landscape, this lead to digital divide between traditional media and modern media. This research paper emphasize on the challenges opportunities strength and weakness faced by traditional media in this artificial intelligence era. Modern technology can replace the older one see but in the case of print media that is News Papers and magazines are not replaceable. Digital technological advancements are a part of our life but usage of traditional print medias became a habit of our generation. Through comparative analysis and expert interview this paper prose how artificial intelligence influence traditional media.

DOI: 10.61137/ijsret.vol.10.issue6.408

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Computer Network Secure Communication and Encryption Algorithm

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Computer Network Secure Communication and Encryption Algorithm/strong>
Authors:-Janani J, Associate Professor Dr S R Raja

Abstract-Due to the continuous progress of Internet technology, computer network communication service has replaced the traditional short message service and multimedia message service. In order to ensure the security of the instant messaging system, some advanced security encryption algorithms are used in the communication system to prevent attacks and information leakage. By using encryption algorithms, the network security research based. Our system operates on a network of nodes, where each node plays a crucial role in ensuring the security and integrity of transmitted data. The SHA-256 algorithm is employed for generating hash values, providing a secure and efficient means of verifying data integrity. Furthermore, we implement AES (Advanced Encryption Standard) for file encryption, enhancing the confidentiality and privacy of sensitive information. AES is a symmetric key encryption algorithm renowned for its strength and efficiency, by combining SHA-256 for integrity checking and AES for encryption, we Include Face Change Attaining methods to prevent from attackers In Face Change that can support both anonymizing real IDs among neighbor nodes and collecting real ID-based encountering information. For node anonymity, two encountering nodes communicate anonymously. Our system offers a robust defense against various cyber threats, including data breaches and unauthorized access. Prevent malicious actors from intercepting or tampering with encrypted data, our system employs advanced encryption techniques and secure communication protocols.

DOI: 10.61137/ijsret.vol.10.issue6.407

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Automated Greenhouse Agricultural System (AGAS): Enhanced Efficiency and Sustainability in Agricultural Practices

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Automated Greenhouse Agricultural System (AGAS): Enhanced Efficiency and Sustainability in Agricultural Practices/strong>
Authors:-Justine P. Fuertes, Mary Jean R. Arevalo, Glyza Nicole M. Ewag, Michael P. Tumilap

Abstract- This research aimed to develop a prototype of an automated Greenhouse Agricultural System (AGAS) for efficient and sustainable cultivation of plants in tropical regions. The AGAS prototype was built using an Arduino Uno microcontroller, which monitors and regulates temperature, humidity, and soil moisture, utilizing sensors and a servo motor for water distribution. Data is transmitted to a website for remote monitoring and control. Data were analyzed mainly using percentages, mean and t-test of independent means. Results showed that, the system achieved a 100% success rate in six trials, demonstrating accurate soil moisture detection, effective servo motor operation, and reliable pump functionality; the website is 100% success rate in four trials in recording analog values, it successfully maintained optimal growing conditions for lettuce, showcasing its potential to improve crop yields and resource efficiency; and the AGAS is efficient compared to the traditional greenhouse system in terms of temperature, humidity and soil moisture. This highlights the significance of AGAS in addressing the challenges of unpredictable weather patterns and resource scarcity in tropical regions. Further development, including a user-friendly application, HVAC system, and error detection mechanisms, is recommended. The AGAS holds the potential to revolutionize greenhouse agriculture, promoting sustainable practices and enhancing food security.

DOI: 10.61137/ijsret.vol.10.issue6.406

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